Occurrence of wheat rust diseases in the commercial fields in year 2011−2019.
\r\n\tThe WHO classification in 2007; was based on the histogenesis and cell origin of the tumor. In the latest classification made in 2016; to better characterize the tumor and obtain better data on its prognosis; The combination of molecular and genetic biomarkers and histopathological features of the tumor was used. Despite all current treatment approaches, the median survival time is around 12 months in most GBM patients. Compared with the situation of some types of successfully treated cancers; the survival time of GBM patients is not at an acceptable level today. In the treatment of CNS tumors; surgery, chemotherapy, and radiation treatments (x-rays, gamma rays, electron and proton beams) are used. The therapeutic potential of chemotherapy; New strategies are needed to increase drug concentration at the diseased site, as this largely depends on the ability of the chemotherapeutic agent to achieve effective concentrations at tumor localization. Based on our better understanding of the genetic and molecular characteristics of CNS tumors; Targeted therapies, including vaccines, and treatment protocols such as immunotherapy are promising developments.
\r\n\r\n\tThis book supposes to be written by many authors who have an internationally honored place in their field to share their ideas about the treatment of CNS tumors. Surgery, Radiotherapy, Chemotherapy and Antiangiogenic Therapy Protocols, Immunotherapy, Molecular Therapy, Specific target-agents therapy with Nanoparticles and Gene Therapy for CNS tumors among the book chapters.
\r\n\tIn these sections; there are many practical pieces of information that can help the students who graduated from the Medicine Faculty and specialist doctors who are interested in Neurosurgery.
Wheat (
There are various wheat diseases such as fungal, which include stem or black rust, caused by
Among the wheat diseases, rusts have become the most destructive diseases of wheat in Kenya resulting in yield losses of up to 100% in susceptible cultivars [10, 11]. Breeders have been breeding for wheat rust resistance, since 1908, but up to date, there is no permanent solution to the rust diseases as the pathogens keep on evolving rendering the resistant cultivars ineffective [12]. Since the beginning of the wheat breeding program in Kenya in the 1900s, until early 1980s, stem rust was the most serious disease of the three wheat rusts and therefore was given a high research priority by the breeding program. Consequently, many resistant wheat cultivars were developed and the disease seemed to have been controlled. It was until between 1985 and 1988 that trace amounts of the disease were observed in the experimental plots in Njoro; in 1996, it was recorded in some commercial cultivars in Mau-Narok and Molo, and in the year 2000 all the cultivars had become susceptible [10, 12].
Stem or black rust of wheat, caused by
Wheat yellow or stripe rust, caused by
Stripe rust to limits wheat production by affecting the yield and quality of kernels as it develops at an early crop stage when temperatures are favorable for rust development [30]. Stripe rust destroys leaves at jointing to booting growth stages. Consequently, infection of stripe rust on wheat reduces photosynthetic area as early as tillering and jointing stages of development. Stripe rust epidemic has occurred in more than 60 countries in every continent causing yield losses of up to 100% in susceptible cultivars [31]. In East Africa, Kenya, and Ethiopia the epidemics caused yield loss of 67−100% in the year 2010 [25]. In Kenya, wheat is grown throughout the year in different agro-ecological zones, and this increases the concentration of the urediniospores in the air making it difficult to control the disease in susceptible varieties [12, 16]. Yield losses of up to 80% have been estimated but some fields with susceptible cultivars go up to 100% [10, 25].
Stripe rust is a global problem evolving into different races, either from their wild ancestor or their host through introductions [32]. In Kenya and Ethiopia
Wheat leaf rust caused by
Highly effective durable resistance to leaf rust has been difficult to achieve due to the high degree of virulence variation in the
Fusarium diseases, mainly Fusarium head blight of wheat (FHB), also called head scab, are caused mainly by the fungus
Septoria diseases are caused by
Spot blotch caused by
The sudden upsurge of
The highland areas of wheat production in Kenya: Molo, Mau Narok (Central Rift), Eldoret and Endebess (North Rift) have a pH of 4.3−5.5 [56]. All wheat cultivars grown in these areas have shown susceptibility to the pathogen but no direct screening has been done. Aluminum toxicity in acid soils has been documented as the primary factor in the reduction of the crop yields [56]. Seed borne nature of the disease has been reported in wheat cultivars in Kenya [57, 58], and studies on disease management revealed that the pathogen can be reduced by the use of seed treatment fungicides [59]. Biological control methods have also been reported [60, 61].
Loose smut caused by
Take All (
Apart from fungal diseases, another disease that threatens wheat production in Kenya is the Barley Yellow Dwarf Virus (BYDV), which is an important virus disease of cereals globally and has a wide host range that includes wheat, barley, oats, triticale, and over 150 grass species [51]. The disease was first reported in Kenya in 1984 and causes serious damage in barley, wheat, and oats and estimated losses range from 16.5−54.7% [62, 63]. Cereal aphids are vectors of the barley yellow dwarf and five strains have been known to occur in Kenya: RPV (
Under favorable environmental conditions, infection of the wheat crop with these diseases can reduce quantity and quality of the grain. Disease surveillance is an epidemiological practice by which the spread is monitored to establish patterns of progression and is key in identifying new diseases and races which can be used in risk assessment and resistance breeding. This review highlights the prevalence, distribution of wheat diseases, host plant resistance in the key wheat-growing regions, and future prospects in Kenya.
Surveys were conducted in the farmer fields in the major wheat-growing regions (Central Rift, South Rift, North Rift, and Mount (Mt) Kenya from 2011 to 2019. The objective was to determine the prevalence and distribution of the wheat diseases and host plant resistance in these regions. Farms were randomly picked along the routes, stopping at every 3 to 5 kilometers. Crops were observed for disease symptoms. An International Standardized survey form was used to keep the records on disease incidence and severity, cultivar grown, production area, and growth stage [66], also any other data that was useful. The Global positioning system (GPS) tool was used to collect precise information on latitude, longitude, and elevation of the sampled farms. Stem, yellow, and leaf rust severities were taken using modified Cobb scale, 0−100% where; 0- immune and 100- susceptible [67]. The host plant response to infection was scored as resistant (R), moderately resistant (MR), moderately susceptible (MS), and susceptible(S) [68]. Incidence and severity of other diseases observed during the surveys were also taken using recommended scales. Septoria diseases were assessed using 0−9 scale [49], where 0 = Free from infection and 9 = Very susceptible/severe infection. Similarly, barley yellow dwarf virus was assessed on a scale of 0−9 [69], where 0 = no symptoms and 9 = full symptom expression, and the Fusarium disease score rating system was 0−5 [70]. Tables 1 and 2 show the occurrence (percent infection and severity & plant response) of the diseases in all the wheat-growing regions. Rust diseases are common in the wheat fields and stem rust is widespread in all the regions. This explains the importance of stem rust, Ug99 race group, since its detection in Uganda and spread to the wheat-growing areas of Kenya, throughout eastern Africa, Yemen, Sudan, Iran, Zimbabwe, Tanzania, South Africa, Mozambique, Zimbabwe, and Iraq [15, 16, 22]. The prediction for the rust diseases to spread towards North Africa, Middle East, Asia and beyond, raises serious concerns of major epidemics that could destroy the world’s wheat crop [19].
Year | Region | No. of sampled farms | Lr Infection (%) | Lr% severity (%) | ||||
---|---|---|---|---|---|---|---|---|
2011 | Central Rift | 62 | 70.9 | 0-100S | 17.7 | TR -60S | 17.7 | TR-40S |
South Rift | 125 | 68.8 | TR-100S | 6.4 | TR- 20S | 17.7 | TR-20S | |
North Rift | 73 | 48.3 | TR-90S | 10.9 | TR- 20S | 10.9 | TR-20S | |
Mt. Kenya region | 67 | 68.0 | TR- 60S | 10.4 | 0 - 40S | 13.4 | TR-20S | |
2012 | Central Rift | 67 | 65.7 | TR-80S | 4.5 | 5-50S | 11.9 | 5-30S |
South Rift | 71 | 5.6 | TR-20S | — | — | — | — | |
North Rift | 101 | 26.7 | TR-70S | 5.9 | 5-70S | 3.9 | 10-50S | |
Mt. Kenya region | 39 | 58.9 | TR-50S | 5.1% | 5-60S | 2.6 | 30S | |
2013 | Central Rift | 97 | 71.0 | TR-70S | 8.3 | TR-50S | 6.7 | TR-50S |
South Rift | 104 | 68.3 | TR-100S | 3.8 | 10S–30S | 5.8 | TR-50S | |
North Rift | 78 | 33.3 | TR-70S | 10.3 | TR-50S | 6.5 | TR-50S | |
Mt. Kenya region | 54 | 25.9 | TR-60S | 7.4 | 10S–30S | 0 | 0 | |
2014 | Central Rift | 92 | 82.5 | TR-80S | 6.2 | TR -50S | 6.2 | 10S–50S |
South Rift | 79 | 72.2 | TR-80S | 8.9 | TR- 60S | — | ||
North Rift | 95 | 55.8 | TR-80S | 6.3 | TR- 40S | 5.3 | 0 - 40S | |
Mt. Kenya region | 71 | 57.7 | TR- 60S | 15.5 | 5S - 60S | 1.4 | 0-40S | |
2015 | Central Rift | 66 | 54.54 | TR-80S | 5.8 | 5S–40S | 1.5 | 0-30S |
South Rift | 101 | 35.6 | TR-60S | — | — | — | — | |
North Rift | 106 | 75.5 | TR-50S | 8.5 | TR-40S | 1.9 | TR-30S | |
Mt. Kenya region | 63 | 71.4 | TR-60S | — | — | — | — | |
2016 | Central Rift | 60 | 88.3 | TR-80S | 16.7 | TR-60S | 3.3 | 30S–50S |
South Rift | 81 | 76.5 | TR-70S | 4.9 | TR-10S | 1.2 | 0-50S | |
North Rift | 98 | 72.4 | TR-80S | 13.3 | TR-40S | 10.2 | TR-50S | |
Mt. Kenya region | 61 | 80.3 | TR-90S | 1.6 | TR | — | — | |
2017 | Central Rift | 54 | 87.03 | TR-70S | 8.9 | 0 -30S | — | — |
South Rift | 79 | 69.2 | TR-100S | 3.79 | TR- 10S | — | — | |
North Rift | 78 | 64.1 | TR-60S | 8.97 | TR- 30S | 24.4 | TR-40S | |
Mt. Kenya region | 38 | 44.1 | TR- 30S | 10.5 | TR - 40S | — | — | |
2018 | Central Rift | 64 | 74.0 | 5-50S | 10.0 | 5-60S | 10.0 | TR-30S |
South Rift | 85 | 42.2 | 5-70S | 3.3 | 10S–30S | 1.1 | TR-40S | |
North Rift | 89 | 25.84 | 5-80S | 19.1 | 5S–60S | 24.35 | 5S–70S | |
Mt. Kenya region | 62 | 47.9 | 5-40S | 2.81 | 10S–30S | — | — | |
2019 | Central Rift | 56 | 82.2 | TR-50S | 2.2 | 0-40S | — | — |
South Rift | 87 | 83.13 | TR-80S | 1.2 | TR | — | — | |
North Rift | 101 | 22.77 | TR-40S | 7.92 | TR-40S | 4.95 | TR-20S | |
Mt. Kenya region | 46 | 63.04 | TR-50S | 10.86 | 15S–60S | 6.5 | 5S–30S | |
Occurrence of wheat rust diseases in the commercial fields in year 2011−2019.
Year | Region | No of sampled farms | Disease incidence (%) | ||
---|---|---|---|---|---|
BYDV | |||||
2011 | Central Rift | 62 | 16.1 | 9.6 | 0 |
South Rift | 125 | 4 | 1.6 | 0.8 | |
North Rift | 73 | 27.4 | 12.3 | 0 | |
Mt. Kenya | 67 | 1.5 | 0 | 0 | |
2012 | Central Rift | 67 | 42.8 | 8.9 | 16.4 |
South Rift | 71 | 46.5 | 2.8 | 0 | |
North Rift | 101 | 41.8 | 0.9 | 0.9 | |
Mt. Kenya | 39 | 17.9 | 2.7 | 0 | |
2013 | Central Rift | 97 | 8.2 | 6.2 | 2.1 |
South Rift | 104 | 14.4 | 0.9 | 0.9 | |
North Rift | 78 | 28.2 | 0 | 0 | |
Mt. Kenya | 54 | 45.3 | 1.9 | 0 |
Occurrence of
Yellow rust, which was first described in 1777, and attacked wheat in Kenya as early as 1908 [26], was observed in low incidences but high severities across all the regions (Table 1). The disease is also a major threat as no cultivar is resistant [28, 29]. Newly introduced resistant varieties lose their resistance within a short time and farmers are forced to spray to save on yields. Serious attacks of the pathogen occur annually and the disease severity increases with altitude [33]. Serious epidemics also occur in the lower latitudes areas. All the wheat-growing areas are prone to disease in low medium and high altitudes areas.
In Kenya, leaf rust has been sporadic and has not been a problem for the past 20 years, but it has recently emerged in the wheat fields (Table 1), and experimental plots, including the international screening nursery with a severity of over 50%. Our cultivars are now at risk given the fact that virulences and new races have been identified in Njoro and also South Rift, Ololulung’a areas (data not shown).
The growing of wheat in diverse agro-ecological zones throughout the year [71, 72] in Kenya creates a significant pool of airborne urediniospores, which coupled with favorable climatic conditions and the presence of host plants, favors rapid build up of inoculum and the occurrence of epidemics. This implies that there is a shift in races present each year, which affects different cultivars of wheat. There is continuous attack, due to the presence of wheat crops throughout the year. The breakdown in resistance could also be attributed to mutations [24]. It is, therefore, a problem to reduce the disease infection in susceptible cultivars and also not possible to grow a profitable crop of wheat without the application of fungicides [10, 16]. Septoria diseases, Fusarium spp., Barley yellow dwarf virus are also becoming more prevalent in the commercial fields (Table 2), year 2011 to 2013. Disease incidence varied from year to year depending on the chemical/spray applied. Data for the occurrence of these diseases from 2014 to 2019 was not shown because it was similar as shown in Table 2.
Conventional breeding, which includes testing genotypes in different environments to determine the adaptability of the varieties has been used largely in Kenyan wheat breeding programs to identify resistant varieties [72]. Crop improvement by traditional methods, involves collection, hybridization, and inbreeding that has been practiced since the beginning of 20th Century. However, it has now been realized that these methods are insufficient to make further breakthroughs or cope with the increasing demand for improvement in crop varieties [73]. Some of the limitations of conventional breeding include the exhaustion of the gene pool, low response to biotic and abiotic stress of the introduced materials, and low combining ability, especially with complex characters. In Kenya, diverse agro-ecological zones and favorable environs highly contribute to the emergence of new races. The cultivars grown are at high risk of being infected with diseases, therefore, it is necessary to identify and incorporate genes that confer durable resistance to contain major epidemics [74, 75]. There are various strategies employed to control these diseases in wheat. These include incorporation of genetic resistance into susceptible wheat genotypes, crop management plus use of fungicides. Despite the fact that it takes a long-time, breeding for durable resistance remains to be a cost-effective strategy of minimizing loss due to wheat diseases [76]. Therefore, host resistance is the primary tool to protect wheat crops from wheat fungal rust diseases and other biotic stresses [77]. Breeding for vertical (qualitative) resistance based on major genes and horizontal (quantitative) influenced by several minor genes for wheat disease resistance has been going on in Kenya since wheat introduction in the 19th century. However, due to pathogen evolution, most of the genotypes with qualitative and quantitative resistance become susceptible to the new races, especially wheat rusts pathogens. For instance, wheat cultivars Robin and Eagle 10 released in Kenya as resistant varieties in 2009 and 2010 were overcome by Ug99 variant
No | Variety | Region and variety area planted (%) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Central Rift | South Rift | North Rift | Mt.Kenya | ||||||||||
2011 | 2012 | 2013 | 2011 | 2012 | 2013 | 2011 | 2012 | 2013 | 2011 | 2012 | 2013 | ||
1 | NjoroBW2 | 30.4 | 34.3 | 24.7 | 29.6 | 39.4 | 42.3 | 49.0 | 60.4 | 57.7 | 26.2 | — | — |
2 | KS Mwamba | 50.4 | 14.9 | 12.3 | 50.4 | 15.5 | 20.2 | 45.2 | 28.7 | 26.9 | 33.8 | 25.6 | 25.9 |
3 | Kwale | 14.0 | 20.9 | 14.4 | 14.4 | 9.9 | 20.2 | 4.1 | 1.9 | 5.1 | 6.2 | 23.1 | 11.4 |
4 | Robin | — | 7.5 | 20.6 | — | 1.4 | — | — | — | 7.7 | — | — | 22.2 |
5 | Mixed | 3.2 | 8.9 | 10.3 | — | — | 1.9 | 1.3 | 5.9 | 1.3 | — | 17.9 | 7.4 |
6 | Eagle10 | 1.6 | — | — | — | 1.4 | 0.9 | — | — | — | — | 1.6 | |
7 | Others | 0.4 | 13.5 | 17.7 | 5.6 | 32.4 | 14.5 | 0.4 | 3.1 | 1.3 | 33.8 | 33.1 | 31.5 |
Commonly grown cultivars in the key wheat-growing regions in the year 2011−2013.
-cultivar not planted.
Kenyan wheat cultivars Robin, NjoroBW2, KS Mwamba, Kwale, Kenya Korongo, Robin, Eagle 10, Kenya Black Hawk 12 (Tables 3 and 4), and Kenya Seed Company cultivars were grown by most farmers in the wheat-growing regions of Kenya.
Commercial Name | Pedigree | Yield potential tons/Ha | Days to Maturity | Year of release | Resistant status |
---|---|---|---|---|---|
Robin | BABAX/LR42//BABAX*2/3/TUKURU | 8.1 | 110–120 | 2009 | Overcome by TTKTT race in 2014 |
Eagle10 | EMB16/CBRD//CBRD | 6.5 | 100–110 | 2010 | Good resistance to stem rust (Ug99 strain). |
Kenya Wren | THELIN#2/TUKURU | 8.5 | 120–130 | 2012 | APR to both yellow and stem rust diseases. |
Kenya Tai | ND643/2*WBLLI | 6.5 | 100–110 | 2012 | Resistant to both stem rust and yellow rust. |
Kenya Sunbird | ND643/2*WBLLI | 6.5 | 100–110 | 2012 | Resistance to stem rust, |
Kenya Korongo | BABAX/LR42//BABAX*2/4/SNI/TRAP#1/3KAUZ*2/TRAP//KAUZ | 8.5 | 120–130 | 2012 | Overcome by TTKTT race in 2014 |
Kenya Kingbird | TAM-200/TUI/6/PAVON-76//CAR-422/ANAHUAC-75/5/BOBWHITE/CROW//BUCKBUCK/PAVON-76/3/YECORA-70/4/TRAP-1 | 6.0 | 90–110 | 2012 | Developed for Adult plant resistance to both stem rust and yellow rust. |
Black Hawk12 | URES/JUN//KAUZ/3/BABAX/4/TILHI | 8.0 | 120–130 | 2012 | Overcome by TTKTT race in 2014 |
Kenya Hornbill | PASTOR//HXL7573/2*BAU/3/SOKOLL/WBLL1 | 7.5 | 110–120 | 2016 | High APR to yellow rust and moderate resistance to stem rust. |
Kenya Deer | PBW343*2/KUKUNA*2//YANAC | 7.8 | 100–110 | 2016 | High adult plant resistance to stem rust and yellow. |
Kenya Weaverbird | PRINIA/3/ALTAR84/AE. SQ //2*OPATA/4/CHEN/AEGILOPS SQUARROSA(TAUS)//BCN/3/BAV92 | 8.0 | 110–120 | 2016 | High APR to stem rust. |
Kenya Peacock | QUAIU/3/PGO/SERI/BAV92 | 120–130 | 2016 | High APR to both stem and yellow rusts. | |
Kenya Falcon | KSW/5/2*ATLAR 84/AE. SQUARROSA (221)//3*BORL95/3/URES/JUN/KAUZ/4/WBLL1 | 8.0 | 100–115 | 2016 | Excellent seedling and APR to stem rust. Highly resistant to yellow rust |
Kenya Songbird | KSW/5/2*ALTAR 84/AE. SQUARROSA (221)//3*BORL95/3/URES/JUN/KAUZ/4/WBLL1 | 8.2 | 110–120 | 2016 | _ |
Kenya Pelican | KSW/5/2*ALTAR84 /AE. AQUARROSA (221)//3*BORL95/3/URES/JUN/KAUZ/4/WBLL1 | 8.5 | 120–130 | 2016 | High APR to stem rust. |
Kenya Jacana | KSW/SAUAL//SAUAL/3/REEDLING #1 | 6.5–8.0 | 110–130 Days | 2019 | Moderately resistant to original Ug99 races. In warmer weather, susceptible to race “TTKTT” |
Kenya Kasuko | KSW/SAUAL//SAUAL/3/REEDLING #1 | 7.0–8.0 | 110–120 Days | 2019 | Moderately resistant to original Ug99 races. In warmer weather, susceptible to race “TTKTT” |
Current wheat varieties released in Kenya, their yield potential and resistant attributes.
APR = adult plant resistant.
Source: http://wheatatlas.org/country/varieties/KEN/0?AspxAutoDetectCookieSupport=1.
In 2011, KS Mwamba occupied the largest area in Central and South Rift (50.4%), North Rift (45.2%), and in Mount Kenya region 33.8% (Table 3). In 2012, the area planted with NjoroBW2 increased: 34.3%, 39.4%, 60.4%, while it decreased for KS Mwamba, 14.9%, 15.5%, and 28.7% in Central, South, and North Rift, respectively (Table 3). Cultivar Kwale was highly grown in Central Rift (20.9%), Mt. Kenya (23.1%), and South Rift (20.2%) in 2013. For the cultivars released in 2010 with adult plant resistance (APR) to the wheat stem rust race
In 2014, cultivar Robin was highest in Central Rift (43.3%), South Rift (41.8%), and Mt. Kenya region (43.7%) while cultivar NjoroBW2 was highest in North Rift (64.2%), Central Rift (15.5%), Mt. Kenya (12.7%), and South Rift (8.9%). KS Mwamba was highest in North Rift (16.4%), Central Rift (15.5%), South Rift (11.4%), and Mount Kenya (9.9%). The area under cultivar Kwale was highest in Central Rift (10.3%), followed by South Rift and Mt. Kenya region (7.6% and 7.0%), respectively. The area under cultivar Eagle 10 was only noted in South Rift 18.9% and overall occupied only 4.4% across the region. Mixed and other unknown cultivars were common in Mt. Kenya region: Kenya Ibis occupied 1.2%, Duma (0.6%), mixed cultivars (1.8%).
In 2015, the area planted with NjoroBW2 increased in North Rift from 63.2% in 2014 to 70.6% in 2015 cultivar Robin increased in Mt. Kenya region (66.7%) as opposed to 2014 (43.7%), but decreased in Central Rift from to 21.2%. The area under production in North Rift increased from to 16.5% and decreased in South Rift from 35.6%. Cultivar Eagle 10 was only observed in South Rift (20.8%) of the sampled fields. Cultivars Kenya Wren and Kenya Hawk12 were observed only in the South Rift (1.9%).
The area planted on NjoroBW2 decreased in North Rift to 64.3% Mt. Kenya 49.2% in 2016. Cultivar Eagle 10 was only grown in South Rift (9.9%) and in North Rift (2.0%) of the sampled fields. Cultivars Kenya Wren was grown in South Rift (2.5%) and North Rift (1.0%) while Kenya Hawk12 was grown in the South Rift (6.2%). Kenya Korongo was grown in South Rift (8.3%) and North Rift (1.0%).
In 2017, cultivar NjoroBW2 was popular in North Rift (69.2%), Central Rift (40.7%), and South Rift (32.9%). Robin was popular in Mt. Kenya region (32.4%), followed by South Rift (20.3%), Central Rift (10.7%), and North Rift (7.7%). Kenya Korongo was only popular in the Central Rift (27.8%). Kwale was popular in Central Rift (7.4%), South Rift (6.3%), and Mt. Kenya (5.3%) area under production of the sampled fields. Cultivar NjoroBW2 occupied the largest area in North Rift (69.2%) and Central Rift (40.7%). Cultivar Eagle 10 was recorded in South Rift (13.9%), Central Rift (1.9%), and in North Rift (1.3%) of the sampled fields. While variety Duma was popular in Mt. Kenya region (42.1%) area under production of the sampled fields. Kenya Wren was grown in Central Rift 1.9.3%), South Rift (1.3%), and North Rift (1.0%) while Kenya Black Hawk12 was grown in South Rift (6.2%) and North Rift (1.3%). Kingbird was only grown in South Rift (2.5%) and North Rift (1.3%) area under production of the sampled fields.
In 2018, cultivar NjoroBW2 was popular in all the regions: North Rift (70.8%), Central Rift (44.0%), South Rift (34.4%), and Mt. Kenya region (14.08%). Robin was grown in North Rift (16.0%), Mt. Kenya (14.6%), Central Rift (12.0%), and South Rift (11.8). Kenya Korongo was only popular in the Mt. Kenya region (36.6%) while Kwale was grown in Central Rift (8.0%) and South Rift (4.7%). Variety Eagle 10 was only popular in South Rift (14.0%) area under production of the sampled fields. The area under production of variety Eagle 10 remained the same in the South Rift as the previous year. Kenya Wren was only grown in South Rift (3.5%), Kenya Black Hawk12 was grown in North Rift (2.5%). while Kingbird was grown in South Rift (1.2%) and North Rift (1.3%).
In 2019 cultivar NjoroBW2 was popular in Mt. Kenya (43.5%). North Rift (42.5%), Central Rift (39.28%), South Rift (31.0%). Kenya Korongo was grown in Mt. Kenya (23.9%), Central Rift (16.0%), South Rift (11.5%), and North Rift (7.92%). Cultivar Robin was popular in the Mt. Kenya (23.9%), South Rift (13.8%), and Central Rift (5.4%). Kwale was grown in North Rift (9.9.0%), South Rift (8.0%), Mt. Kenya (6.5%), Central Rift (5.4%) area under production of the sampled fields. Cultivar Eagle 10 was only popular in South Rift (14.9%) and Central Rift (7.1%) area under production of the sampled fields. The Kenya Seed Company cultivars were more popular in the North Rift (24.8%) area under production of the sampled fields.
Over fifty percent of the previously released varieties (Table 4) are now susceptible to the Ug99 race. Robin, Kenya Black Hawk12, Kenya Korongo, Kenya Jacana, and Kenya Kasuko are susceptible to Ug99 races (TTKTK and TTKTT) that were detected on Robin with virulence to
There is a long history of wheat breeding in Kenya as early as 1908, however, the use of molecular breeding tools is very limited thereby hampering the rate of genetic gains achieved. As such, the national breeding program has depended on introductions of wheat lines from international wheat breeding programs including CIMMYT and ICARDA. Understanding the composition and diversity of fungal wheat disease resistance in Kenya wheat germplasm is important for defining breeding strategies and prioritizing trait targets for wheat improvement [82].
Biotechnological approaches in wheat breeding such as double haploid (DH) and mutational breeding have been used to speed up breeding by complementing conventional breeding [72]. DH which shortens the breeding period by a single cycle has been used in Kenya to produce varieties such as K. Ibis. Mutation breeding brings about genetic variation and accelerates the outcome of variety release has been applied at KARLO, Njoro to release varieties NjoroBW2 and K. Heroe by irradiation using gamma rays [72, 83]. Conventional method of gene pyramiding is time-consuming, hence, the incorporation of molecular breeding is efficient in breeding for biotic and abiotic stresses in wheat for quick release of resistant varieties. The use of molecular markers enhances phenotypic selection because it makes it more efficient, effective, reliable, and cost-effective compared to conventional plant breeding, hence improving the latter [84]. There has been some concern about the incorporation of DNA marker technology in many plant-breeding institutions and most institutions can now develop their own markers [85, 86]. Molecular markers such as SSR, AFLP, and KASP markers have been developed to evaluate genotypes for biotic stresses such as diseases in Kenyan varieties [7, 82, 87].
Other than host plant resistance, cultural and chemical methods have been used to control wheat diseases in Kenya. Cultural control techniques such as growing resistant genotypes, late planting, reduced irrigation, avoidance of excessive nitrogen use, and elimination of volunteer and grass plants can reduce stripe rust severities as they limit exposure time to inoculum [25]. Altering planting date and separating the vulnerable crop from the pathogen in either time or space controls certain airborne disseminated pathogens of wheat [88]. Although the cultural techniques are used, they are either not profitable, conflict with conservation farming, or reduce yield potential [89]. Genetic resistance combined with chemical treatments, although expensive to the poor resource farmers may often be very effective in controlling wheat diseases [90]. Some of the fungicides used by farmers in Kenya are listed in Table 5. The application of seed treatment chemicals such as
No | Chemical name | Common name | Rate L/ha |
---|---|---|---|
1 | Nativo 300SC | 1.0 | |
2 | Prosaro 250EC | 1.0 | |
3 | Twiga Epox GF | 1.0 | |
4 | Fezan 250 EW GF | 1.0 | |
5 | Acanto Plus | 1.0 | |
6 | Abacus SE | 1.0 | |
7 | Rexduo SE | 1.0 | |
8 | Osiris EC | 1.0 | |
9 | Cherokee 487.5 SE | 1.0 | |
10 | Menara 410EC | 0.5 | |
11 | Tebulis 430 SC | 0.5 | |
12 | Azimut SC | 1.0 | |
13 | Skyway Xpro 275 EC | 1.2 | |
14 | Atlas 300EC | 1.0 | |
15 | Quilt Excel 265 SE | 1.25 | |
16 | Swing Xtra 497 SC | 1.0 | |
17 | Fosphite Liquid | 4.0 | |
18 | Amizoc 480 EC | 1.8 | |
19 | Zantara 216 EC | 1.0 | |
20 | Ceriax 149.8 EC | 1.0 | |
21 | Stamina 500SC | 0.9 | |
22 | Token 325 SC | 0.75 | |
23 | Elatus Arc 265.14 SE | 1.0 | |
24 | Silvacur 375 EC | 1.0 | |
25 | Folicur 250 EC | 1.0 | |
26 | (t | Shadow 750 WG SC | 400 g |
Recommended fungicides for control/reduction of foliar wheat diseases in Kenya.
* Can control Fusarium Head Blight (FHB) when spayed at flowering**Can control Fusarium Head Blight (FHB) and Septoria diseases GF- Generic fungicide.
During surveys, we noted that farmers who sprayed following the right recommendations of fungicides in Table 5 had good yields compared to those who did not spray or sprayed without following the proper recommendations hence losing the crop to the disease. Majority of the farmers sprayed the fungicides to reduce/suppress disease infections, particularly the rusts, but some sprayed farms were noted to have high disease infections. These are farms that either had been sprayed late or the timing/ chemical concentrations were not right.
Despite the occurrence of wheat diseases in Kenya, information on the genetic basis of the diseases and wheat cultivars is limited. Molecular genetic markers have been advanced from phenotypic and protein-based markers to DNA sequence polymorphism, this accelerates the process of plant breeding when coupled with conventional breeding [93]. Since many traits valued by plant breeders are complex and polygenic, it is essential to involve the deliberate combination of various genomic regions from many different individuals in the development of an adapted elite variety [94]. Sequencing polymorphism markers are important in identifying genetic diversity in cultivated and wild genotypes, the source of novel genomic regions, alleles, and traits [95].
In crops, marker-assisted selection (MAS) has been made efficient by designation of markers associated with economic importance, for instance, disease resistance (wheat rust), response to abiotic stress and seed quality [96, 97]. The use of molecular markers enhances phenotypic selection because it makes it more efficient, effective, reliable, and cost-effective compared to conventional plant breeding hence improving the latter [84]. There has been some concern about the incorporation of DNA marker technology in many plant-breeding institutions but most institutions can now develop their own markers [85, 86].
In genetic studies of wheat, genetic markers such as amplified fragment length polymorphism (AFLP), restriction fragment length polymorphism (RFLP), random amplified polymorphic DNA (RAPD), simple sequence repeat (SSR), and single nucleotide polymorphism (SNP) have been used but they are limited in their own ways [98]. These limitations are being overcome by improving already available techniques to form next-generation sequencing (NGS) [98]. With next-generation sequencing (NGS) technologies, SNP markers have been discovered in wheat, which is a good choice due to their abundance in the genome as they are distributed across all the wheat chromosomes [99]. These technologies offer easier means to map polymorphic genetic loci and identify genes for important traits [98]. Microsatellite markers have been used to determine the genetic diversity of wheat stem rust races in Kenya ([100]; Wanyera, unpublished data).
Single nucleotide variations in genome sequences of individuals of a population are known as SNPs. They result when DNA sequence differs by a single base and are the most abundant molecular markers in the genome [101]. SNPs and flanking sequences are found by library construction and sequencing or through the screening of readily available sequence databases [102]. Genotyping methods, including DNA chips, allele-specific PCR, and primer extension approaches based on SNPs, are particularly attractive for their high data throughput and for suitability for automation [103]. They are used for a wide range of purposes, including rapid identification of crop cultivars and construction of ultra-high-density genetic maps [103, 104]. SNPs markers have been used in wheat in identifying resistance genes for stripe rust
Application of modern marker-assisted breeding approaches can help accelerate variety development efforts, single nucleotide polymorphisms (SNPs) markers have emerged as powerful tools for many genetic applications mainly due to their low assay cost, high abundance, co-dominant inheritance, high-throughput, and ease of use [101]. Numerous genotyping platforms have therefore been developed for SNP genotyping [108, 109] including KASP (Kompetitive Allele Specific PCR) which is a gel-free and fluorescent-based genotyping platform. KASP is fast emerging as a global benchmark in SNP genotyping [110, 111] developed and validated 70 KASP assays for functional genes controlling economically important traits such as plant height, disease resistance, yield, and quality in bread wheat. KASP markers have been used to determine alleles for important agronomic traits in wheat in East Africa, Kenya, and Ethiopia [82].
The application of molecular markers in different epidemiological studies is crucial in developing strain-specific markers such as Sequence-characterized-amplified-region (SCAR) markers [112]. The SCAR markers are codominant, while others are dominant single locus which allows for quick and easy PCR amplification-based detection and hence used in the studies of pathogens [113]. The SCAR markers are efficient in testing large samples and useful in tracing the origin and spread of microbial pathogens with the ability for long-distance disposal and invasion like yellow rust [114]. SCAR markers SCAR1265 and SCAR1400 were developed in wheat to identify powdery mildew (
There are high disease incidences and severity of wheat diseases particularly wheat rusts in the farmers’ fields, which is attributed to the use of highly susceptible wheat cultivars and also climate change contributing to emerging of new diseases. For example, the evolution and spread of Ug99 race group and additional races like Digalu race (TKTTF) are spreading very fast causing epidemics subjecting the wheat germplasm to vulnerability.
Other wheat diseases such as
In Kenya, different research groups consisting of plant breeders, plant pathologists, agronomists, international partners, and farmers are working towards achieving host plant resistance and ways to combat wheat diseases in order to achieve high yields and contribute to food security.
The authors wish to acknowledge the technical staff of the Plant Pathology section KALRO, Njoro, for assistance in collating pertinent information for this article.
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Liposome preparation by dual centrifugation (DC) is able to overcome most of these limitations. DC differs from normal centrifugation by an additional rotation of the samples during the centrifugation process. Thus, the direction of the centrifugal forces changes continuously in the sample vials. The consequential powerful sample movements inside the vials result in powerful homogenization of the sample. Since this “in-vial” homogenization is optimal for viscous samples, semisolid “vesicular phospholipid gels” (VPGs) are preferred intermediates in the liposome manufacturing by DC. The DC method easily enables aseptic preparation and is gentler as compared to other methods, such as high-pressure homogenization. The method allows very small samples to be prepared, and VPG batches down to 1–5 mg scale have been prepared successfully. 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Combined with localized hyperthermia, TSLs allow precise drug delivery to a targeted region. While mostly investigated as cancer therapy, other applications including treatment of local infections and wound healing have been explored. Over the last ∼40 years, numerous TSL formulations and payloads have been investigated. As with other nanoparticles, the addition of targeting molecules to TSL has been examined to improve targeted delivery. TSL release kinetics and plasma stability are two important factors that affect efficacy, and new formulations often aim to further improve on these properties. The possibility of encapsulating a magnetic resonance (MR) contrast agent that is released together with the encapsulated drug allows for visualization of drug delivery with MR imaging. Various heating modalities have been examined in combination with TSL. Since the goal is to expose a defined tissue region to uniform temperatures within the range where TSLs release (typically ∼40–43°C), the choice of an appropriate heating modality has considerable impact on treatment efficacy. Several ongoing clinical trials with TSL as cancer therapy suggest the potential for clinical impact in the near future.",book:{id:"5959",slug:"liposomes",title:"Liposomes",fullTitle:"Liposomes"},signatures:"Anjan Motamarry, Davud Asemani and Dieter Haemmerich",authors:[{id:"201952",title:"Prof.",name:"Dieter",middleName:null,surname:"Haemmerich",slug:"dieter-haemmerich",fullName:"Dieter Haemmerich"},{id:"207116",title:"Mr.",name:"Anjan",middleName:null,surname:"Motamarry",slug:"anjan-motamarry",fullName:"Anjan Motamarry"}]},{id:"55811",doi:"10.5772/intechopen.68158",title:"Hydrogels and Their Combination with Liposomes, Niosomes, or Transfersomes for Dermal and Transdermal Drug Delivery",slug:"hydrogels-and-their-combination-with-liposomes-niosomes-or-transfersomes-for-dermal-and-transdermal-",totalDownloads:2794,totalCrossrefCites:5,totalDimensionsCites:11,abstract:"Polymeric networks that retain and absorb substantial amount of water or biological fluids and resemble as a biological tissue are defined as hydrogels. On the other hand, liposomes, transfersomes and niosomes are lipid carriers, which represent one of the major research and development focus areas of the pharmaceutical industry. They have great potential as lipid vehicles that are able to enhance permeation of drugs across the intact skin and can act as local depot for the drug to sustain and control its delivery. Lipid carrier and hydrogel combinations offer transdermal drug delivery of great potential to enhance systemic effects of both hydrophilic and lipophilic drugs. Also, lipid carriers can target drugs to skin appendages and improve transdermal delivery. Lipid carrier proform systems in the form of gelly liquid crystals can also be used transdermally for better drug absorption enhancement. This review highlights the potential of hydrogels and emulgels with or without lipid nanocarriers for dermal and transdermal application.",book:{id:"5959",slug:"liposomes",title:"Liposomes",fullTitle:"Liposomes"},signatures:"Mahmoud Mokhtar Ibrahim, Anroop B. Nair, Bandar E. Aldhubiab\nand Tamer M. Shehata",authors:[{id:"202426",title:"Ph.D.",name:"Mahmoud",middleName:null,surname:"Ibrahim",slug:"mahmoud-ibrahim",fullName:"Mahmoud Ibrahim"},{id:"202427",title:"Dr.",name:"Anroop B.",middleName:null,surname:"Nair",slug:"anroop-b.-nair",fullName:"Anroop B. Nair"},{id:"202428",title:"Dr.",name:"Bandar E.",middleName:null,surname:"Aldhubiab",slug:"bandar-e.-aldhubiab",fullName:"Bandar E. Aldhubiab"},{id:"202430",title:"Dr.",name:"Tamer M.",middleName:null,surname:"Shehata",slug:"tamer-m.-shehata",fullName:"Tamer M. Shehata"}]},{id:"56546",doi:"10.5772/intechopen.70055",title:"Liposomal Drug Delivery to the Central Nervous System",slug:"liposomal-drug-delivery-to-the-central-nervous-system",totalDownloads:2814,totalCrossrefCites:1,totalDimensionsCites:11,abstract:"Central nervous system diseases represent a huge world of burden of human suffering with negative economic results. Most therapeutic compounds cannot attain the brain because of the blood-brain barrier and its expression of efflux transporters. Among them, the P-glycoprotein plays a significant role leading to failure of various clinical treatments. A non-invasive strategy to circumvent the blood-brain barrier and P-glycoprotein emphasizes on the encapsulation and therefore masking of therapeutic compounds in drug delivery systems. Up to now, liposomes are the most widely studied drug delivery systems due to their biocompatibility, biodegradability, and less toxicity. The incorporation of polyethylene glycol-lipid derivatives within the bilayer of conventional liposomes significantly prolongs liposomal cargo half-life by steric stabilization. Interestingly, an increased brain accumulation of liposomal cargo is achieved by coupling targeting moieties on liposomes surface. These targeting moieties such as peptides or monoclonal antibodies recognize the biochemical transport systems at the blood-brain barrier and mediate the transport of liposomes and their cargo across this barrier. Moreover, stimuli-sensitive liposomes are programmed for cargo release when exposed to a particular microenvironment. Hence, this chapter highlights the potential liposomal applications for delivery of therapeutic compounds as well as diagnostic tools or both, in major central nervous system diseases.",book:{id:"5959",slug:"liposomes",title:"Liposomes",fullTitle:"Liposomes"},signatures:"Rita Nieto Montesinos",authors:[{id:"202685",title:"Dr.",name:"Rita Milagros",middleName:null,surname:"Nieto Montesinos",slug:"rita-milagros-nieto-montesinos",fullName:"Rita Milagros Nieto Montesinos"}]},{id:"55318",doi:"10.5772/intechopen.68520",title:"Methotrexate Liposomes - A Reliable Therapeutic Option",slug:"methotrexate-liposomes-a-reliable-therapeutic-option",totalDownloads:1665,totalCrossrefCites:2,totalDimensionsCites:5,abstract:"Liposomes were proposed as drug vector systems in the treatment of many diseases. The following characteristics recommend the liposomes as attractive candidates for drug transportation: solubilisation, duration of action, targeting potential and internalisation. Methotrexate, a folate antagonist, was originally developed as an antineoplastic agent and subsequently used in inflammatory and/or immunosuppressive diseases. Its side effects have led researchers to direct their efforts to reduce toxicity, while maintaining efficacy of methotrexate. Liposomes with methotrexate as such, as well as its disodium salt, were prepared using two methods. The liposomes were characterized in terms of structure, size, degree of poly‐dispersion and encapsulation efficiency. The effect of methotrexate incorporated in liposomes has been investigated in vitro on human lymphoblastic cell line K562. Methotrexate incorporated into liposomes moderately reduces the proliferation of K562 cells, but significantly inhibits RNA synthesis. The cellular activation is probably the main target of the drug and not the neoplastic proliferation of cells. The methotrexate liposomes exhibited significant anti‐inflammatory activity and showed reduced toxicity. Given that the encapsulating of the drug in vector systems may result in the increasing concentration at the site of action, the methotrexate liposomes represent a targeted therapy with an optimized therapeutic efficacy—risk toxicity ratio.",book:{id:"5959",slug:"liposomes",title:"Liposomes",fullTitle:"Liposomes"},signatures:"Anne Marie Ciobanu, Maria Bârcă, Gina Manda, George Traian\nAlexandru Burcea Dragomiroiu and Daniela Luiza Baconi",authors:[{id:"49037",title:"Dr.",name:"Gina",middleName:null,surname:"Manda",slug:"gina-manda",fullName:"Gina Manda"},{id:"193027",title:"Dr.",name:"George Traian Alexandru",middleName:null,surname:"Burcea Dragomiroiu",slug:"george-traian-alexandru-burcea-dragomiroiu",fullName:"George Traian Alexandru Burcea Dragomiroiu"},{id:"203029",title:"Prof.",name:"Daniela",middleName:null,surname:"Baconi",slug:"daniela-baconi",fullName:"Daniela Baconi"},{id:"203030",title:"Dr.",name:"Anne-Marie",middleName:null,surname:"Ciobanu",slug:"anne-marie-ciobanu",fullName:"Anne-Marie Ciobanu"},{id:"203031",title:"Dr.",name:"Maria",middleName:null,surname:"Barca",slug:"maria-barca",fullName:"Maria Barca"}]}],mostDownloadedChaptersLast30Days:[{id:"55811",title:"Hydrogels and Their Combination with Liposomes, Niosomes, or Transfersomes for Dermal and Transdermal Drug Delivery",slug:"hydrogels-and-their-combination-with-liposomes-niosomes-or-transfersomes-for-dermal-and-transdermal-",totalDownloads:2794,totalCrossrefCites:5,totalDimensionsCites:11,abstract:"Polymeric networks that retain and absorb substantial amount of water or biological fluids and resemble as a biological tissue are defined as hydrogels. On the other hand, liposomes, transfersomes and niosomes are lipid carriers, which represent one of the major research and development focus areas of the pharmaceutical industry. They have great potential as lipid vehicles that are able to enhance permeation of drugs across the intact skin and can act as local depot for the drug to sustain and control its delivery. Lipid carrier and hydrogel combinations offer transdermal drug delivery of great potential to enhance systemic effects of both hydrophilic and lipophilic drugs. Also, lipid carriers can target drugs to skin appendages and improve transdermal delivery. Lipid carrier proform systems in the form of gelly liquid crystals can also be used transdermally for better drug absorption enhancement. This review highlights the potential of hydrogels and emulgels with or without lipid nanocarriers for dermal and transdermal application.",book:{id:"5959",slug:"liposomes",title:"Liposomes",fullTitle:"Liposomes"},signatures:"Mahmoud Mokhtar Ibrahim, Anroop B. Nair, Bandar E. Aldhubiab\nand Tamer M. Shehata",authors:[{id:"202426",title:"Ph.D.",name:"Mahmoud",middleName:null,surname:"Ibrahim",slug:"mahmoud-ibrahim",fullName:"Mahmoud Ibrahim"},{id:"202427",title:"Dr.",name:"Anroop B.",middleName:null,surname:"Nair",slug:"anroop-b.-nair",fullName:"Anroop B. Nair"},{id:"202428",title:"Dr.",name:"Bandar E.",middleName:null,surname:"Aldhubiab",slug:"bandar-e.-aldhubiab",fullName:"Bandar E. Aldhubiab"},{id:"202430",title:"Dr.",name:"Tamer M.",middleName:null,surname:"Shehata",slug:"tamer-m.-shehata",fullName:"Tamer M. Shehata"}]},{id:"53886",title:"Gluconeogenesis: A Metabolic Pathway in Eukaryotic Cells such as Cellular Slime Molds",slug:"gluconeogenesis-a-metabolic-pathway-in-eukaryotic-cells-such-as-cellular-slime-molds",totalDownloads:1457,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Dictyostelium discoideum or cellular slime mold is simple eukaryotic microorganism, which generally grows in forest soil and decaying leaves. This amoeba feeds on bacteria and grows as single cells. The development of Dictyostelium discoideum is simpler than that of mammalian cells. It uses many of the same signals that are found to function in higher eukaryotic organisms like plants and animals. Dictyostelium discoideum is an excellent system in which to study metabolic pathways which are simpler than that of the complex systems like mammalian system. Glucose is metabolized in glycolysis to yield pyruvate and lactate and further metabolized in the tricarboxylic acid cycle. Glucose can be polymerized into glycogen in addition to glycolysis process. In a metabolic pathway, the generation of glucose from certain non‐carbohydrate carbon substrates is called gluconeogenesis. In Dictyostelium discoideum, glucose is synthesized by the breakdown of pyruvate. Glycogen phosphorylase and amylase break down glycogen to form glucose. Glycogen synthase and glycogen phosphorylase are the key enzymes for the regulation. Both the enzyme equally regulated the process simultaneously, so that when one is activated, the other is deactivated. During gluconeogenesis, glucose is synthesized from pyruvate but sometimes during this process, three enzymes, glucose‐6‐phophatase, fructose‐1,6‐bisphosphatase, and phosphoenolpyruvate carboxykinase catalyze an irreversible reaction.",book:{id:"5614",slug:"gluconeogenesis",title:"Gluconeogenesis",fullTitle:"Gluconeogenesis"},signatures:"Richa Karmakar",authors:[{id:"193984",title:"Dr.",name:"Richa",middleName:null,surname:"Karmakar",slug:"richa-karmakar",fullName:"Richa Karmakar"}]},{id:"53844",title:"Glucose Homeostasis",slug:"glucose-homeostasis",totalDownloads:2877,totalCrossrefCites:2,totalDimensionsCites:2,abstract:"Glucose is the main and preferred source of energy for mammalian cells. Mammalian cells need glucose constantly. Long-lasting disturbances in blood glucose concentrations can cause diseases and death. Therefore, blood glucose concentrations must be within narrow limits. The process of maintaining blood glucose at a steady-state level is called glucose homeostasis.",book:{id:"5614",slug:"gluconeogenesis",title:"Gluconeogenesis",fullTitle:"Gluconeogenesis"},signatures:"Leszek Szablewski",authors:[{id:"49739",title:"Dr.",name:"Leszek",middleName:null,surname:"Szablewski",slug:"leszek-szablewski",fullName:"Leszek Szablewski"}]},{id:"53941",title:"Blood Glucose Prediction for “Artificial Pancreas” System",slug:"blood-glucose-prediction-for-artificial-pancreas-system",totalDownloads:1574,totalCrossrefCites:5,totalDimensionsCites:5,abstract:"The aim of modern science in diabetes therapy is to develop a closed-loop system to control blood glucose (BG) (“artificial pancreas”). Such a system includes glucose monitor, insulin pump and algorithms of their interaction and blood glucose (BG) dynamics analysis. Current work is devoted to mathematic modeling of BG dynamics, development of BG prediction algorithm and its approbation on clinical data Diabetes Research in Children Network (DirecNet). Prediction algorithm is based on sigma model of BG regulation and is supposed to be used for “artificial pancreas” system. The algorithm was tested under condition of possible errors in glucometer and/or insulin pump operation. Root-mean-square error of BG prediction is 15.7 mg/dl. Algorithm corrects 97.5% errors.",book:{id:"5614",slug:"gluconeogenesis",title:"Gluconeogenesis",fullTitle:"Gluconeogenesis"},signatures:"Nikolay A. Bazaev and Kirill V. Pozhar",authors:[{id:"193816",title:"Ph.D. Student",name:"Kirill",middleName:"Vitoldovich",surname:"Pozhar",slug:"kirill-pozhar",fullName:"Kirill Pozhar"},{id:"194094",title:"Dr.",name:"Nikolay",middleName:null,surname:"Bazaev",slug:"nikolay-bazaev",fullName:"Nikolay Bazaev"}]},{id:"55627",title:"Application of Nuclear Magnetic Resonance Spectroscopy (NMR) to Study the Properties of Liposomes",slug:"application-of-nuclear-magnetic-resonance-spectroscopy-nmr-to-study-the-properties-of-liposomes",totalDownloads:2106,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"The liposomes are well‐known lipid aggregates. The lipid composition and size of the liposomes can be controlled. The method of preparation, lipid composition, temperature, and pH have an influence on the liposome size and bilayer structure. The physicochemical properties of liposomes allow them to various applications. Nuclear magnetic resonance (NMR) is one of the methods used to study liposome properties. The abilities of the method are the high sensitivity and high resolution. Moreover, it provides information about dynamics and structure of molecules. 1H and 31P NMR are most convenient methods to study liposomes, because liposomes are typically formed from phospholipids. Additionally, two‐dimensional NMR spectroscopy reveals information about the nature of intermolecular and intramolecular interactions (scalar and dipole‐dipole interactions) that makes easier to interpret the structure of molecules. The chapter aims to introduce the NMR phenomenon, interactions between spins in magnetic field, dynamics of molecules and physical parameters of NMR spectra, and the necessary information for analyzing and interpreting high‐resolution NMR spectra. It also aims to show how various changes in the bilayer structure or dynamics of lipid molecules are visible in the NMR spectra.",book:{id:"5959",slug:"liposomes",title:"Liposomes",fullTitle:"Liposomes"},signatures:"Anna Timoszyk",authors:[{id:"200367",title:"Dr.",name:"Anna",middleName:null,surname:"Timoszyk",slug:"anna-timoszyk",fullName:"Anna Timoszyk"}]}],onlineFirstChaptersFilter:{topicId:"420",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:8,numberOfPublishedChapters:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:286,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:105,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:9,numberOfPublishedChapters:101,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:11,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"May 14th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:8,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. 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Take a doctorate in animal science at the UANL.",institutionString:null,institution:{name:"Universidad Autónoma de Nuevo León",country:{name:"Mexico"}}},{id:"309250",title:"Dr.",name:"Miguel",middleName:null,surname:"Quaresma",slug:"miguel-quaresma",fullName:"Miguel Quaresma",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309250/images/9059_n.jpg",biography:"Miguel Nuno Pinheiro Quaresma was born on May 26, 1974 in Dili, Timor Island. He is married with two children: a boy and a girl, and he is a resident in Vila Real, Portugal. He graduated in Veterinary Medicine in August 1998 and obtained his Ph.D. degree in Veterinary Sciences -Clinical Area in February 2015, both from the University of Trás-os-Montes e Alto Douro. He is currently enrolled in the Alternative Residency of the European College of Animal Reproduction. He works as a Senior Clinician at the Veterinary Teaching Hospital of UTAD (HVUTAD) with a role in clinical activity in the area of livestock and equine species as well as to support teaching and research in related areas. He teaches as an Invited Professor in Reproduction Medicine I and II of the Master\\'s in Veterinary Medicine degree at UTAD. Currently, he holds the position of Chairman of the Portuguese Buiatrics Association. He is a member of the Consultive Group on Production Animals of the OMV. He has 19 publications in indexed international journals (ISIS), as well as over 60 publications and oral presentations in both Portuguese and international journals and congresses.",institutionString:"University of Trás-os-Montes and Alto Douro",institution:{name:"University of Trás-os-Montes and Alto Douro",country:{name:"Portugal"}}},{id:"38652",title:"Dr.",name:"Rita",middleName:null,surname:"Payan-Carreira",slug:"rita-payan-carreira",fullName:"Rita Payan-Carreira",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRiFPQA0/Profile_Picture_1614601496313",biography:"Rita Payan Carreira earned her Veterinary Degree from the Faculty of Veterinary Medicine in Lisbon, Portugal, in 1985. She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",country:{name:"Portugal"}}},{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",slug:"oudessa-kerro-dego",fullName:"Oudessa Kerro Dego",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",biography:"Dr. Kerro Dego is a veterinary microbiologist with training in veterinary medicine, microbiology, and anatomic pathology. Dr. Kerro Dego is an assistant professor of dairy health in the department of animal science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. He received his D.V.M. (1997), M.S. (2002), and Ph.D. (2008) degrees in Veterinary Medicine, Animal Pathology and Veterinary Microbiology from College of Veterinary Medicine, Addis Ababa University, Ethiopia; College of Veterinary Medicine, Utrecht University, the Netherlands and Western College of Veterinary Medicine, University of Saskatchewan, Canada respectively. He did his Postdoctoral training in microbial pathogenesis (2009 - 2015) in the Department of Animal Science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. Dr. Kerro Dego’s research focuses on the prevention and control of infectious diseases of farm animals, particularly mastitis, improving dairy food safety, and mitigation of antimicrobial resistance. Dr. Kerro Dego has extensive experience in studying the pathogenesis of bacterial infections, identification of virulence factors, and vaccine development and efficacy testing against major bacterial mastitis pathogens. Dr. Kerro Dego conducted numerous controlled experimental and field vaccine efficacy studies, vaccination, and evaluation of immunological responses in several species of animals, including rodents (mice) and large animals (bovine and ovine).",institutionString:"University of Tennessee at Knoxville",institution:{name:"University of Tennessee at Knoxville",country:{name:"United States of America"}}},{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón",slug:"juan-carlos-gardon",fullName:"Juan Carlos Gardón",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:"Catholic University of Valencia San Vicente Mártir, Spain",institution:null},{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/125292/images/system/125292.jpeg",biography:"Katy Satué Ambrojo received her Veterinary Medicine degree, Master degree in Equine Technology and doctorate in Veterinary Medicine from the Faculty of Veterinary, CEU-Cardenal Herrera University in Valencia, Spain. She is a Full Professor at the Department of Medicine and Animal Surgery at the same University. She developed her research activity in the field of Endocrinology, Hematology, Biochemistry and Immunology of horses. She is a scientific reviewer of several international journals : American Journal of Obstetrics and Gynecology, Comparative Clinical Pathology, Veterinary Clinical Pathology, Journal of Equine Veterinary Science, Reproduction in Domestic Animals, Research Veterinary Science, Brazilian Journal of Medical and Biological Research, Livestock Production Science and Theriogenology. Since 2014, she has been the Head of the Clinical Analysis Laboratory of the Hospital Clínico Veterinario from the Faculty of Veterinary, CEU-Cardenal Herrera University.",institutionString:"CEU-Cardenal Herrera University",institution:{name:"CEU Cardinal Herrera University",country:{name:"Spain"}}},{id:"309529",title:"Dr.",name:"Albert",middleName:null,surname:"Rizvanov",slug:"albert-rizvanov",fullName:"Albert Rizvanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309529/images/9189_n.jpg",biography:'Albert A. Rizvanov is a Professor and Director of the Center for Precision and Regenerative Medicine at the Institute of Fundamental Medicine and Biology, Kazan Federal University (KFU), Russia. He is the Head of the Center of Excellence “Regenerative Medicine” and Vice-Director of Strategic Academic Unit \\"Translational 7P Medicine\\". Albert completed his Ph.D. at the University of Nevada, Reno, USA and Dr.Sci. at KFU. He is a corresponding member of the Tatarstan Academy of Sciences, Russian Federation. Albert is an author of more than 300 peer-reviewed journal articles and 22 patents. He has supervised 11 Ph.D. and 2 Dr.Sci. dissertations. Albert is the Head of the Dissertation Committee on Biochemistry, Microbiology, and Genetics at KFU.\nORCID https://orcid.org/0000-0002-9427-5739\nWebsite https://kpfu.ru/Albert.Rizvanov?p_lang=2',institutionString:"Kazan Federal University",institution:{name:"Kazan Federal University",country:{name:"Russia"}}},{id:"210551",title:"Dr.",name:"Arbab",middleName:null,surname:"Sikandar",slug:"arbab-sikandar",fullName:"Arbab Sikandar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210551/images/system/210551.jpg",biography:"Dr. Arbab Sikandar, PhD, M. Phil, DVM was born on April 05, 1981. He is currently working at the College of Veterinary & Animal Sciences as an Assistant Professor. He previously worked as a lecturer at the same University. \nHe is a Member/Secretory of Ethics committee (No. CVAS-9377 dated 18-04-18), Member of the QEC committee CVAS, Jhang (Regr/Gen/69/873, dated 26-10-2017), Member, Board of studies of Department of Basic Sciences (No. CVAS. 2851 Dated. 12-04-13, and No. CVAS, 9024 dated 20/11/17), Member of Academic Committee, CVAS, Jhang (No. CVAS/2004, Dated, 25-08-12), Member of the technical committee (No. CVAS/ 4085, dated 20,03, 2010 till 2016).\n\nDr. Arbab Sikandar contributed in five days hands-on-training on Histopathology at the Department of Pathology, UVAS from 12-16 June 2017. He received a Certificate of appreciation for contributions for Popularization of Science and Technology in the Society on 17-11-15. He was the resource person in the lecture series- ‘scientific writing’ at the Department of Anatomy and Histology, UVAS, Lahore on 29th October 2015. He won a full fellowship as a principal candidate for the year 2015 in the field of Agriculture, EICA, Egypt with ref. to the Notification No. 12(11) ACS/Egypt/2014 from 10 July 2015 to 25th September 2015.; he received a grant of Rs. 55000/- as research incentives from Director, Advanced Studies and Research, UVAS, Lahore upon publications of research papers in IF Journals (DR/215, dated 19-5-2014.. He obtained his PhD by winning a HEC Pakistan indigenous Scholarship, ‘Ph.D. fellowship for 5000 scholars – Phase II’ (2av1-147), 17-6/HEC/HRD/IS-II/12, November 15, 2012. \n\nDr. Sikandar is a member of numerous societies: Registered Veterinary Medical Practitioner (life member) and Registered Veterinary Medical Faculty of Pakistan Veterinary Medical Council. The Registration code of PVMC is RVMP/4298 and RVMF/ 0102.; Life member of the University of Veterinary and Animal Sciences, Lahore, Alumni Association with S# 664, dated: 6-4-12. ; Member 'Vets Care Organization Pakistan” with Reference No. VCO-605-149, dated 05-04-06. :Member 'Vet Crescent” (Society of Animal Health and Production), UVAS, Lahore.",institutionString:"University of Veterinary & Animal Science",institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}},{id:"311663",title:"Dr.",name:"Prasanna",middleName:null,surname:"Pal",slug:"prasanna-pal",fullName:"Prasanna Pal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311663/images/13261_n.jpg",biography:null,institutionString:null,institution:{name:"National Dairy Research Institute",country:{name:"India"}}},{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. Dr. Rutland has also written popular science books for the public. https://orcid.org/0000-0002-2009-4898. www.nottingham.ac.uk/vet/people/catrin.rutland",institutionString:null,institution:{name:"University of Nottingham",country:{name:"United Kingdom"}}},{id:"283315",title:"Prof.",name:"Samir",middleName:null,surname:"El-Gendy",slug:"samir-el-gendy",fullName:"Samir El-Gendy",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRduYQAS/Profile_Picture_1606215849748",biography:"Samir El-Gendy is a Professor of anatomy and embryology at the faculty of veterinary medicine, Alexandria University, Egypt. Samir obtained his PhD in veterinary science in 2007 from the faculty of veterinary medicine, Alexandria University and has been a professor since 2017. Samir is an author on 24 articles at Scopus and 12 articles within local journals and 2 books/book chapters. His research focuses on applied anatomy, imaging techniques and computed tomography. Samir worked as a member of different local projects on E-learning and he is a board member of the African Association of Veterinary Anatomists and of anatomy societies and as an associated author at local and international journals. Orcid: https://orcid.org/0000-0002-6180-389X",institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"246149",title:"Dr.",name:"Valentina",middleName:null,surname:"Kubale",slug:"valentina-kubale",fullName:"Valentina Kubale",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246149/images/system/246149.jpg",biography:"Valentina Kubale is Associate Professor of Veterinary Medicine at the Veterinary Faculty, University of Ljubljana, Slovenia. Since graduating from the Veterinary faculty she obtained her PhD in 2007, performed collaboration with the Department of Pharmacology, University of Copenhagen, Denmark. She continued as a post-doctoral fellow at the University of Copenhagen with a Lundbeck foundation fellowship. She is the editor of three books and author/coauthor of 23 articles in peer-reviewed scientific journals, 16 book chapters, and 68 communications at scientific congresses. Since 2008 she has been the Editor Assistant for the Slovenian Veterinary Research journal. She is a member of Slovenian Biochemical Society, The Endocrine Society, European Association of Veterinary Anatomists and Society for Laboratory Animals, where she is board member.",institutionString:"University of Ljubljana",institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"258334",title:"Dr.",name:"Carlos Eduardo",middleName:null,surname:"Fonseca-Alves",slug:"carlos-eduardo-fonseca-alves",fullName:"Carlos Eduardo Fonseca-Alves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/258334/images/system/258334.jpg",biography:"Dr. Fonseca-Alves earned his DVM from Federal University of Goias – UFG in 2008. He completed an internship in small animal internal medicine at UPIS university in 2011, earned his MSc in 2013 and PhD in 2015 both in Veterinary Medicine at Sao Paulo State University – UNESP. Dr. Fonseca-Alves currently serves as an Assistant Professor at Paulista University – UNIP teaching small animal internal medicine.",institutionString:null,institution:{name:"Universidade Paulista",country:{name:"Brazil"}}},{id:"245306",title:"Dr.",name:"María Luz",middleName:null,surname:"Garcia Pardo",slug:"maria-luz-garcia-pardo",fullName:"María Luz Garcia Pardo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/245306/images/system/245306.png",biography:"María de la Luz García Pardo is an agricultural engineer from Universitat Politècnica de València, Spain. She has a Ph.D. in Animal Genetics. Currently, she is a lecturer at the Agrofood Technology Department of Miguel Hernández University, Spain. Her research is focused on genetics and reproduction in rabbits. The major goal of her research is the genetics of litter size through novel methods such as selection by the environmental sensibility of litter size, with forays into the field of animal welfare by analysing the impact on the susceptibility to diseases and stress of the does. Details of her publications can be found at https://orcid.org/0000-0001-9504-8290.",institutionString:null,institution:{name:"Miguel Hernandez University",country:{name:"Spain"}}},{id:"41319",title:"Prof.",name:"Lung-Kwang",middleName:null,surname:"Pan",slug:"lung-kwang-pan",fullName:"Lung-Kwang Pan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41319/images/84_n.jpg",biography:null,institutionString:null,institution:null},{id:"201721",title:"Dr.",name:"Beatrice",middleName:null,surname:"Funiciello",slug:"beatrice-funiciello",fullName:"Beatrice Funiciello",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201721/images/11089_n.jpg",biography:"Graduated from the University of Milan in 2011, my post-graduate education included CertAVP modules mainly on equines (dermatology and internal medicine) and a few on small animal (dermatology and anaesthesia) at the University of Liverpool. After a general CertAVP (2015) I gained the designated Certificate in Veterinary Dermatology (2017) after taking the synoptic examination and then applied for the RCVS ADvanced Practitioner status. After that, I completed the Postgraduate Diploma in Veterinary Professional Studies at the University of Liverpool (2018). My main area of work is cross-species veterinary dermatology.",institutionString:null,institution:null},{id:"291226",title:"Dr.",name:"Monica",middleName:null,surname:"Cassel",slug:"monica-cassel",fullName:"Monica Cassel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/291226/images/8232_n.jpg",biography:'Degree in Biological Sciences at the Federal University of Mato Grosso with scholarship for Scientific Initiation by FAPEMAT (2008/1) and CNPq (2008/2-2009/2): Project \\"Histological evidence of reproductive activity in lizards of the Manso region, Chapada dos Guimarães, Mato Grosso, Brazil\\". Master\\\'s degree in Ecology and Biodiversity Conservation at Federal University of Mato Grosso with a scholarship by CAPES/REUNI program: Project \\"Reproductive biology of Melanorivulus punctatus\\". PhD\\\'s degree in Science (Cell and Tissue Biology Area) \n at University of Sao Paulo with scholarship granted by FAPESP; Project \\"Development of morphofunctional changes in ovary of Astyanax altiparanae Garutti & Britski, 2000 (Teleostei, Characidae)\\". She has experience in Reproduction of vertebrates and Morphology, with emphasis in Cellular Biology and Histology. She is currently a teacher in the medium / technical level courses at IFMT-Alta Floresta, as well as in the Bachelor\\\'s degree in Animal Science and in the Bachelor\\\'s degree in Business.',institutionString:null,institution:null},{id:"349788",title:"Dr.",name:"Florencia Nery",middleName:null,surname:"Sompie",slug:"florencia-nery-sompie",fullName:"Florencia Nery Sompie",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sam Ratulangi University",country:{name:"Indonesia"}}},{id:"345713",title:"Dr.",name:"Csaba",middleName:null,surname:"Szabó",slug:"csaba-szabo",fullName:"Csaba Szabó",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"345719",title:"Mrs.",name:"Márta",middleName:null,surname:"Horváth",slug:"marta-horvath",fullName:"Márta Horváth",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"339759",title:"Mr.",name:"Abu",middleName:null,surname:"Macavoray",slug:"abu-macavoray",fullName:"Abu Macavoray",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Njala University",country:{name:"Sierra Leone"}}},{id:"339758",title:"Prof.",name:"Benjamin",middleName:null,surname:"Emikpe",slug:"benjamin-emikpe",fullName:"Benjamin Emikpe",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Ibadan",country:{name:"Nigeria"}}},{id:"339760",title:"Mr.",name:"Moinina Nelphson",middleName:null,surname:"Kallon",slug:"moinina-nelphson-kallon",fullName:"Moinina Nelphson Kallon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Njala University",country:{name:"Sierra Leone"}}},{id:"419965",title:"Dr.",name:"Paweł",middleName:null,surname:"Górka",slug:"pawel-gorka",fullName:"Paweł Górka",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Agriculture in Krakow",country:{name:"Poland"}}},{id:"420253",title:"Dr.",name:"Zhijun J.",middleName:null,surname:"Cao",slug:"zhijun-j.-cao",fullName:"Zhijun J. Cao",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"China Agricultural University",country:{name:"China"}}},{id:"340332",title:"Dr.",name:"Cyprial",middleName:null,surname:"Ncobela",slug:"cyprial-ncobela",fullName:"Cyprial Ncobela",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Animal Production Institute",country:{name:"South Africa"}}},{id:"340331",title:"Mr.",name:"Francuois",middleName:null,surname:"Muller",slug:"francuois-muller",fullName:"Francuois Muller",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Animal Production Institute",country:{name:"South Africa"}}},{id:"340329",title:"Dr.",name:"Ingrid",middleName:"Marumo Mokgadi",surname:"Malebana",slug:"ingrid-malebana",fullName:"Ingrid Malebana",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Animal Production Institute",country:{name:"South Africa"}}}]}},subseries:{item:{id:"87",type:"subseries",title:"Economics",keywords:"Globalization, Economic integration, Growth and development, International trade, Environmental development, Developed countries, Developing countries, Technical innovation, Knowledge management, Political economy analysis, Banking and financial markets",scope:"\r\n\tThe topic on Economics is designed to disseminate knowledge around broad global economic issues. Original submissions will be accepted in English for applied and theoretical articles, case studies and reviews about the specific challenges and opportunities faced by the economies and markets around the world. The authors are encouraged to apply rigorous economic analysis with significant policy implications for developed and developing countries. Examples of subjects of interest will include, but are not limited to globalization, economic integration, growth and development, international trade, environmental development, country specific comparative analysis, technical innovation and knowledge management, political economy analysis, and banking and financial markets.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/87.jpg",hasOnlineFirst:!1,hasPublishedBooks:!1,annualVolume:11971,editor:{id:"327730",title:"Prof.",name:"Jaime",middleName:null,surname:"Ortiz",slug:"jaime-ortiz",fullName:"Jaime Ortiz",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002zaOKZQA2/Profile_Picture_1642145584421",biography:"Dr. Jaime Ortiz holds degrees from Chile, the Netherlands, and the United States. He has held tenured faculty, distinguished professorship, and executive leadership appointments in several universities around the world. Dr. Ortiz has previously worked for international organizations and non-government entities in economic and business matters, and he has university-wide globalization engagement in more than thirty-six countries. He has advised, among others, the United Nations Development Program, Inter-American Development Bank, Organization of American States, Pre-investment Organization of Latin America and the Caribbean, Technical Cooperation of the Suisse Government, and the World Bank. Dr. Ortiz is the author, co-author, or editor of books, book chapters, textbooks, research monographs and technical reports, and refereed journal articles. He is listed in Who’s Who in the World, Who’s Who in America, Who’s Who in Finance and Business, Who’s Who in Business Higher Education, Who’s Who in American Education, and Who’s Who Directory of Economists. Dr. Ortiz has been a Fulbright Scholar and an MSI Leadership Fellow with the W.K. Kellogg Foundation. His teaching interests revolve around global economies and markets while his research focuses on topics related to development and growth, global business decisions, and the economics of technical innovation.",institutionString:null,institution:{name:"University of Houston",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null,series:{id:"22",title:"Business, Management and Economics",doi:"10.5772/intechopen.100359",issn:null},editorialBoard:[{id:"104262",title:"Dr.",name:"Chee-Heong",middleName:null,surname:"Quah",slug:"chee-heong-quah",fullName:"Chee-Heong Quah",profilePictureURL:"https://mts.intechopen.com/storage/users/104262/images/system/104262.jpg",institutionString:null,institution:{name:"University of Malaya",institutionURL:null,country:{name:"Malaysia"}}},{id:"236659",title:"Prof.",name:"Monica Violeta",middleName:null,surname:"Achim",slug:"monica-violeta-achim",fullName:"Monica Violeta Achim",profilePictureURL:"https://mts.intechopen.com/storage/users/236659/images/system/236659.jpg",institutionString:null,institution:{name:"Babeș-Bolyai University",institutionURL:null,country:{name:"Romania"}}},{id:"202039",title:"Dr.",name:"Nahanga",middleName:null,surname:"Verter",slug:"nahanga-verter",fullName:"Nahanga Verter",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCwtQAG/Profile_Picture_1643101901237",institutionString:null,institution:{name:"Mendel University Brno",institutionURL:null,country:{name:"Czech Republic"}}},{id:"107745",title:"Emeritus Prof.",name:"Panagiotis E.",middleName:null,surname:"Petrakis",slug:"panagiotis-e.-petrakis",fullName:"Panagiotis E. 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Dr. Koprowski has authored more than a hundred research papers with dozens in impact factor (IF) journals and has authored or co-authored six books. Additionally, he is the author of several national and international patents in the field of biomedical devices and imaging. Since 2011, he has been a reviewer of grants and projects (including EU projects) in biomedical engineering.",institutionString:null,institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}},subseries:[{id:"7",title:"Bioinformatics and Medical Informatics",keywords:"Biomedical Data, Drug Discovery, Clinical Diagnostics, Decoding Human Genome, AI in Personalized Medicine, Disease-prevention Strategies, Big Data Analysis in Medicine",scope:"Bioinformatics aims to help understand the functioning of the mechanisms of living organisms through the construction and use of quantitative tools. The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. The considerable development of technology, including the computing power of computers, is also conducive to the development of bioinformatics, including personalized medicine. In an era of rapidly growing data volumes and ever lower costs of generating, storing and computing data, personalized medicine holds great promises. Modern computational methods used as bioinformatics tools can integrate multi-scale, multi-modal and longitudinal patient data to create even more effective and safer therapy and disease prevention methods. Main aspects of the topic are: Applying bioinformatics in drug discovery and development; Bioinformatics in clinical diagnostics (genetic variants that act as markers for a condition or a disease); Blockchain and Artificial Intelligence/Machine Learning in personalized medicine; Customize disease-prevention strategies in personalized medicine; Big data analysis in personalized medicine; Translating stratification algorithms into clinical practice of personalized medicine.",annualVolume:11403,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",institutionString:null,institution:{name:"Medical University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"5886",title:"Dr.",name:"Alexandros",middleName:"T.",surname:"Tzallas",fullName:"Alexandros Tzallas",profilePictureURL:"https://mts.intechopen.com/storage/users/5886/images/system/5886.png",institutionString:"University of Ioannina, Greece & Imperial College London",institution:{name:"University of Ioannina",institutionURL:null,country:{name:"Greece"}}},{id:"257388",title:"Distinguished Prof.",name:"Lulu",middleName:null,surname:"Wang",fullName:"Lulu Wang",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRX6kQAG/Profile_Picture_1630329584194",institutionString:null,institution:{name:"Shenzhen Technology University",institutionURL:null,country:{name:"China"}}},{id:"225387",title:"Prof.",name:"Reda",middleName:"R.",surname:"Gharieb",fullName:"Reda Gharieb",profilePictureURL:"https://mts.intechopen.com/storage/users/225387/images/system/225387.jpg",institutionString:"Assiut University",institution:{name:"Assiut University",institutionURL:null,country:{name:"Egypt"}}}]},{id:"8",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. Osma",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDv7QAG/Profile_Picture_1626602531691",institutionString:null,institution:{name:"Universidad de Los Andes",institutionURL:null,country:{name:"Colombia"}}},{id:"69697",title:"Dr.",name:"Mani T.",middleName:null,surname:"Valarmathi",fullName:"Mani T. Valarmathi",profilePictureURL:"https://mts.intechopen.com/storage/users/69697/images/system/69697.jpg",institutionString:"Religen Inc. | A Life Science Company, United States of America",institution:null},{id:"205081",title:"Dr.",name:"Marco",middleName:"Vinícius",surname:"Chaud",fullName:"Marco Chaud",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDGeQAO/Profile_Picture_1622624307737",institutionString:null,institution:{name:"Universidade de Sorocaba",institutionURL:null,country:{name:"Brazil"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"onlineFirst.detail",path:"/online-first/81085",hash:"",query:{},params:{id:"81085"},fullPath:"/online-first/81085",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()