Details of the variety of hybrid seed rate and spacing of different crops.
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More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\\n\\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\nAdditionally, each book published by IntechOpen contains original content and research findings.
\\n\\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\\n\\n\\n\\n
\\n"}]',published:!0,mainMedia:{caption:"IntechOpen Maintains",originalUrl:"/media/original/113"}},components:[{type:"htmlEditorComponent",content:'
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\nSimba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\nIntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\nSince the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\nMore than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\nAdditionally, each book published by IntechOpen contains original content and research findings.
\n\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n\n\n
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He completed a Fellowship in Diabetes (FID) at Royal Liverpool Academy, United Kingdom, and a Fellowship in Applied Nutrition (FIAN) at Medvarsity, Apollo Hospitals, India. Dr. Zaman obtained a Post Graduate Diploma in Clinical Research (PGDCR) from Symbiosis University, India. He has almost fifteen years of experience as an Associate Professor at King Khalid Government University, Saudi Arabia, and Rajiv Gandhi University of Health Sciences, India. He has expertise in quality development and curriculum design and is trained in e-learning methods. He has more than fifty research publications to his credit in both national and international journals. He has also edited/co-edited books and authored many book chapters.",institutionString:"King Khalid University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"5",totalChapterViews:"0",totalEditedBooks:"3",institution:null},coeditorTwo:{id:"189666",title:"Associate Prof.",name:"Mohd Nasir",middleName:null,surname:"Mohd Desa",slug:"mohd-nasir-mohd-desa",fullName:"Mohd Nasir Mohd Desa",profilePictureURL:"https://mts.intechopen.com/storage/users/189666/images/system/189666.png",biography:"Dr. Mohd Nasir Mohd Desa currently serves as an Associate Professor at the Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia. He was a former head for Laboratory of Halal Science Research at Halal Products Research Institute, Universiti Putra Malaysia. He holds a BSc in Microbiology from the University of Arizona, USA, Master of Medical Science and Ph.D. in Medical Microbiology from the University of Malaya, Malaysia. 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Organic farming is a production system that avoids or largely excludes the use of synthetic fertilizers, pesticides, growth regulators, and livestock feed additives. The objectives of environmental, social, and economic sustainability are the basics of organic farming.
The maintenance of good soil fertility is essential for sustainable crop production, which requires the regular use of organic sources of nutrient-like organic manure and biofertilizers to keep the farm income higher of the farming community. Organic agriculture is a holistic production management system, which promotes sustainable agriculture and enhances agro ecosystem health, including biodiversity, biological cycle, and soil biological activity. The organic farming practices on scientific principles are as productive as the conventional system. Organic systems showed greater soil health benefits reduced cost on production, are found better than inorganic practices, and enhanced profit margin with quality food. Interestingly, while exports of organic commodity are growing, domestic market demand is galloping for high-value crop produce, supports from government are increasing and innovation system support has started to grow. In such situation, it is necessary to develop suitable technology for meeting the challenges of the coming generation by providing good quality produce without deteriorating the socio-economic conditions of the farmer and with minimum environmental pollution. The farmers of ancient India adhered to the natural laws and this helped in maintaining the soil fertility over a relatively longer period of time [1]. These organic sources, besides supplying N, P, K, also make unavailable sources of elemental nitrogen, bound phosphates, micronutrients, and decomposed plant residues into available form in order to facilitate the plants to absorb the nutrients. Organic cultivation practices are very effective to improve the population of beneficial microorganisms in the soil having direct effect on enhancing the availability of macronutrients and micronutrients through correcting the deficiency induced by the conventional practices with the application of synthetic fertilizers, and consequently capable of sustaining high crop productivity and soil biological properties by modification of the soil environment [2].
The farmers can in turn, get good remuneration from the organically produced crops and vegetables if included in high-value crop sequences, e.g., aromatic rice–table pea and onion [3] due to their heavy demands in domestic, national, as well as international markets that may help the country in earning some foreign exchange. Therefore, a book chapter entitled “Role of organic sources of nutrient in rice (
To identify potential high-value cropping sequence suitable for irrigated ecosystem;
To study the effect of organic nitrogen sources on yield and quality of crop produce;
To study the effect of organic nitrogen sources on nutrient acquisition by the sequence.
Sequence-1: Rice-Potato-Onion
Sequence-2: Rice-Green Pea-Onion
Sequence-3: Rice-Potato-Cowpea (Green Pod)
Sequence-4: Rice- Green Pea -Cowpea (Green Pod)
Sequence-5: Rice-Rajmash (Green Pod)-Onion
Sequence-6: Rice-Rajmash (Green Pod)-Cowpea (Green Pod)
Sequence-7: Rice-Maize (Green Cob)-Cowpea (Vegetable)
Control (without organic manures)
100% RDN through organic manures as 1/3 FYM + 1/3 Poultry Manure (PM) + 1/3 Vermicompost
100% RDN through organic manures as 1/3 FYM + 1/3 Poultry Manure (PM) + 1/3 Vermicompost + Azotobacter + PSB
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
\n\t\t\t\t | \n\t\t|||
Rice | \n\t\t\tHUBR 2-1 | \n\t\t\t40 kg | \n\t\t\t20 x 15 | \n\t\t
\n\t\t\t\t | \n\t\t|||
Maize (Green Cob) | \n\t\t\tPioneer Hybrid | \n\t\t\t20 kg | \n\t\t\t60 x 20 | \n\t\t
Green Pea | \n\t\t\tEarly Apoorva | \n\t\t\t80 kg | \n\t\t\t30 x 10 | \n\t\t
Rajmash | \n\t\t\tHUR-137 | \n\t\t\t80 kg | \n\t\t\t30 x 10 | \n\t\t
Potato | \n\t\t\tKufri Badshah | \n\t\t\t2,000 kg | \n\t\t\t50 x 25 | \n\t\t
\n\t\t\t\t | \n\t\t|||
Onion | \n\t\t\tAgrifound Light Red | \n\t\t\t10 kg | \n\t\t\t20 x 15 | \n\t\t
Cowpea | \n\t\t\tTokito Hybrid | \n\t\t\t10 kg | \n\t\t\t50 x 20 | \n\t\t
Details of the variety of hybrid seed rate and spacing of different crops.
Proper field preparation and timely planting are essential for good crop yield. These factors influence the soil\'s physical property, particularly soil moisture, aeration, and plant nutrient availability. With a view to have good experimental unit for planting, initial ploughing was done by a soil turning plough followed by disking. The seed beds were properly prepared as per crop requirements before planting various crops.
A well-drained fertile land having good irrigation facility was selected for raising rice seedlings. The nursery plot was ploughed twice and puddled in standing water to convert the upper layer of soil into fine soft mud. The field was leveled properly and 10 x 1.5 m2 beds were prepared. A requisite amount of 36 kg organic manure was applied to each nursery of 15 m2. Healthy, genuine, certified, and sprouted seeds at 40 kg per ha were properly spread, keeping a thin water film for a week. The seedbed was irrigated to maintain shallow, submerged rice.
Proper field preparation is essential for a healthy rice crop. The experimental area was ploughed with a tractor during the summer and ploughed twice again before rice transplanting. Thereafter, the field was puddled with the cultivator. Finally, the field was laid out to meet the requirements of the experimental design. The field was puddled thoroughly, and four-week-old seedlings were transplanted at 3 seedlings per hill in rows 20 cm apart with hill to hill distance of 10 cm. As per treatment, full recommended doses of all the manures were applied just before transplanting. Irrigations were given to the crop at 16, 30, 18, and 32 DAT during the two years of experimentation. Two hand weedings were done at 26 and 65 DAT during both the years of experimentation. Except minor appearances of gundhi bugs, no major pests or diseases appeared. Hence, even bio-insecticides were not used due to the negligible impact of the gundhi bugs. Rice plants were harvested at physiological maturity of the crop after 108 DAT during the first and 109 DAT in the second year of experimentation. First of all, the border rows were harvested, bundled, and removed from the plots. Thereafter, the experimental rows from the net plot area were harvested. Plot wise harvested materials were carefully bundled, tagged, and taken to the threshing floor. Each bundle was weighed after complete sun drying and threshing. The grain yield was recorded separately after winnowing and cleaning. The straw yields was calculated by subtracting grain yield from the bundle weight and were converted to kg per ha based on net plot size harvest.
For recording biometric observations at different stages of crop growth, four hills in the net plot area were randomly selected and tagged. However, for the dry matter production, four hills were randomly selected from the sample rows (border rows) at different growth stages. The plants were then tagged and brought to the laboratory for the study. Four biometric observations were recorded at 30 DAT (tillering stage), 60 DAT (late jointing stage) and at harvest during both years. The plant samples collected randomly from the border row of the field were kept in an oven at 60°C till the constant weight arrived for determining the dry matter production per unit area. The panicle-bearing tillers were counted from the one square meter marked area after full anthesis. Ten panicles were randomly selected from tagged plants and the length was measured from the neck node to the tip of the upper most spikelet and average length was recorded. Ten randomly selected panicles were weighed and averaged to record per panicle weight. The filled grain of each of the ten panicles from each plot were counted and averaged. Grain samples were taken from the threshed and cleaned produce of each net plot and 1,000 grains were counted and weighed. Grain yield was recorded (kg plot-1) after threshing, winnowing, cleaning, and drying. Thereafter, it was computed to kg per ha. The difference of the bundle weight and grain yield gave the straw yield (kg plot-1). Thereafter, it was computed to kg per ha.
During the winter season, potato, green pea, rajmash, and maize are grown. The following packages of practices were adopted for these crops. Field preparation operations were common for all the
During both years of experimentation, the weeding was done using a hand rotary weeder during the beginning of the first appearance of a thick flush of weed, e.g., 25 days after sowing followed by a second weeding at 45–50 days after sowing. The first weeding was done after recording observations for weed flora. However, to the wheat crop, only one weeding was given.
In both years of the experiment, irrigation was given according to the requirements of the different crops as per the schedule. In all, one irrigation was given to lentil, pea, and chickpea, two irrigations to mustard, three irrigations to potato and wheat, and as much as four irrigations was given to maize. Only minor appearances of pests or diseases occurred. Hence, even bio-insecticides were not used due to the negligible impact of the insect pests and diseases.
In general, all the crops were harvested by serrated edge sickle manually at the maturity of the respective crops. However, in case of potatoes, tubers were dug out at maturity. In green peas, two to three pickings of green pods were done; whereas, the green cobs of maize were harvested at the milky stage of the grains. Haulms of pea and maize stover were used as cattle fodder. In all the crops, the border rows and 0.5 m either side of plot rows were harvested and removed around the individual plots leaving only the net plot area. The harvesting of each net plot area was done separately and the harvested material from each plot was carefully bundled, tagged, and taken to the threshing floor and kept individually for sun drying.
Each bundle was weighed after proper sun drying and then threshed individually. The grain/seed/pod/tuber yield of different crops were weighed and recorded separately after winnowing and cleaning. The straw stover yield were calculated/recorded separately and converted to q ha-1 based on the net plot size harvest.
Onions and cowpeas were taken during summer season in different cropping sequences. Field preparatory operations were common for all summer season crops. After the harvesting of winter season crops in different sequences, pre-sown irrigation was given and individual plots were tilled thrice with a power tiller at proper tilth and finally planking was done.
Seeds of Agrifound light red variety were used. The seeds used for the nursery had more than 80% germination. The nursery beds (4 m x 2.6 m) were prepared carefully by incorporating sufficient quantity of well-rotten farm yard manure (20 kg bed-1). Seeds were sown on the bed at 52 g per bed. After sowing, beds were given light and frequent water application through a water cane at the beginning to maintain moisture for seedling growth. Two light irrigations were also given at sowing and 10 DAS to maintain the growth of a thin layer of FYM was given to cover the seeds. The beds were covered with a thin layer of paddy straw on the same day to maintain congenial moisture and temperature condition. The paddy straw was removed after seed germination (10 DAS). Seedlings were transplanted at 60 DAS on 26.02.04 during the first year and 20.02.05 during the second year. However, cowpea seeds were treated with
During both years of the experimentation, one weeding was done in the inter-row spaces by hand rotary weeder at 20 days after sowing and the weeds on the crop rows were removed manually.
Two hundred grams of rice grains after threshing, winnowing, cleaning, and drying were taken for dehusking, and the brown rice thus obtained was weighed and then hulling (%) was calculated by the following formula:
One hundred grams of brown rice obtained after hulling was taken and kept for polishing by removing rice bran, embryo, and alurone layer and polished white kernels were thus obtained using the following formula:
Total white polished rice obtained after milling was taken and whole white kernels were separated, weighed and the percentage was calculated using the formula:
Five randomly selected cobs were weighed and grains were separated and weighed. The shelling percentage was calculated by using the following formula:
The protein content (%) in the grains was worked by multiplying the nitrogen content in grain by the factor 6.25 (A. O. A. C., 1960).
The protein yield (kg ha-1) was obtained by the following formula:
It was extracted and determined according to Carillo et al (2005).
Equivalent yields of potato and onion were also calculated as same manner as fallow in calculating rice equivalent yield.
Cost of cultivation: The cost of cultivation of various sequences was worked out based on the most recent standard rate of materials.
Gross return: The yield of different component crops in the sequence were converted into gross return in rupees based on the current market price.
Net return: Net return for each crop sequence was calculated by deducting the cost of cultivation from the gross return.
Cost of cultivation, gross return, and net return under different treatments were worked out on the basis of prevailing cost of different inputs. Power and labor for different operations were calculated on a per hectare basis as per normal rates prevalent in the country. The costs of other inputs were considered as per market price. The total gross return was taken as the total income received from the produce of economic and stover yield. Net return was calculated with the help of following formula:
Net Return = Gross Return - Cost of Cultivation
The various practices involved in crop production and economic yield of component crops in the sequences were converted into the equivalent value of chemical energy (MJ/ha). For these conversions, standard values as given by [6] were used (Table 2).
\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
\n\t\t\t\t | \n\t\t|||
1. | \n\t\t\tHuman labor | \n\t\t\t\n\t\t\t | \n\t\t |
\n\t\t\t | Adult men | \n\t\t\tMan hours | \n\t\t\t1.96 | \n\t\t
\n\t\t\t | Women | \n\t\t\tWoman hours | \n\t\t\t1.57 | \n\t\t
2. | \n\t\t\tDiesel | \n\t\t\tLiter | \n\t\t\t56.31 | \n\t\t
3. | \n\t\t\tElectricity | \n\t\t\tKWH | \n\t\t\t11.93 | \n\t\t
4. | \n\t\t\tChemical fertilizer | \n\t\t\t\n\t\t\t | \n\t\t |
\n\t\t\t | (a) Nitrogen | \n\t\t\tKg | \n\t\t\t60.6 | \n\t\t
\n\t\t\t | (b) P2O5\n\t\t\t | \n\t\t\tKg | \n\t\t\t11.1 | \n\t\t
\n\t\t\t | (c) K2O | \n\t\t\tKg | \n\t\t\t6.7 | \n\t\t
5. | \n\t\t\tPlant protection (Superior) | \n\t\t\t\n\t\t\t | \n\t\t |
\n\t\t\t | Granulated chemical | \n\t\t\tKg | \n\t\t\t120 | \n\t\t
\n\t\t\t | Liquid chemical | \n\t\t\tml | \n\t\t\t0.102 | \n\t\t
6. | \n\t\t\tSeeds | \n\t\t\t\n\t\t\t | \n\t\t |
\n\t\t\t | Potato | \n\t\t\tKg | \n\t\t\t4.06 | \n\t\t
\n\t\t\t | Rice, maize | \n\t\t\tKg | \n\t\t\t14.7 | \n\t\t
\n\t\t\t | Onion | \n\t\t\tKg | \n\t\t\t15.8 | \n\t\t
\n\t\t\t | Cowpea, pea, rajmash | \n\t\t\tKg | \n\t\t\t14.7 | \n\t\t
\n\t\t\t\t | \n\t\t|||
1. | \n\t\t\tRice | \n\t\t\tKg (dry mass) | \n\t\t\t14.7 | \n\t\t
\n\t\t\t | Cowpea, table pea, rajmash | \n\t\t\tKg (pod) | \n\t\t\t3.89 | \n\t\t
2. | \n\t\t\tOnion | \n\t\t\tKg (bulb) | \n\t\t\t2.60 | \n\t\t
3. | \n\t\t\tPotato | \n\t\t\tKg (tuber) | \n\t\t\t4.06 | \n\t\t
4. | \n\t\t\tMaize | \n\t\t\tKg (green cob) | \n\t\t\t4.41 | \n\t\t
Energy coefficients.
Plants growing in natural environment are often prevented from expressing their full genetic potential for production as they are subjected to various biotic and abiotic stresses. Environmental factors are relatively more dynamic in determining the extent of growth and development of plants and play major roles in the completion of the plant life cycle. Every crop requires a definite set of environmental conditions for its proper growth and development. Matching the crop phenology to the climatic environment prevailing during the growing season is an important aspect to maximize genetic yield potential.
In organic nitrogen sources, the application of 100% RDN through organic manure along with biofertilizers recorded the highest grain yield during both years of investigation. This might be due to better availability of nutrients through superimposition of organic manure along with biofertilizers. It was also observed that plants were well supplied with nitrogen, senescence of flag leaf was delayed, and respiratory losses were low. Potassium also had expressed, in addition of CO2 assimilation rates, resulting in more supply of photosynthates along with micronutrients responsible for the effective translocation of photosynthates that probably accounted for the highest economic yield. In addition to these,
The maximum potato equivalent yield was recorded under the sequence rice-potato-cowpea (green pod). It may be emphasized here that PEY of crops is the function of market price along with the yield of a particular crop. The potato itself produced higher economic yield and this is accompanied with better market value as a result of potato equivalent yield that were higher as compared to other sequences. Further nitrogen application through organic manures significantly augmented the potato equivalent yield due to the continuous raising of organic potato bio-dynamically on the same site, which improved tuber production by enriching soil fertility.
The maximum onion equivalent yield was recorded under the sequence rice-green pea-onion. The onion itself produced higher economic yield due to the inclusion of legume as a previous crop and this accompanied with better market value as a result of onion equivalent yield that were higher compared to other sequences. Further nitrogen application through organic manures significantly augmented the onion equivalent yield, which was due favorable growth and yield of onion crop.
The application of organic nitrogen also influenced protein content and protein yield due to the increase in the concentration of nitrogen in grains, which might have modified the proportion of grain constituents. The higher uptake of nutrients, particularly nitrogen, in the organic nitrogen treatments was probably responsible for the higher grain protein. Accumulation of protein in seeds may also be increased due to the continuous nitrogen supply and its translocation in seed buds and optimal nutrition. It is known that protein content imparts strength to the grain; higher protein content thus resulted in higher head rice recovery.
Amongst various nitrogen substitution treatments, maximum starch content was recorded under organic sources of nitrogen along with biofertilizers, especially due to higher concentration of potassium in poultry manure, which might have modified the proportion of tubers constituents with respect to starch.
Application of organic nitrogen significantly increased the allyl-propyl-disulphide and carbohydrate content (%) in onion bulbs might be due to increased volatile fatty oil content resulting in significantly higher production of allyl-propyl-disulphide in onion bulbs. Increased allyl-propyl-disulphide content with increasing organic nitrogen application was in close agreement with findings of [7, 8].
The maximum RGEY was recorded under the sequence rice-potato-onion. The higher production potential of potato and onion and better market prices were instrumental for attaining higher REY by this sequence [9, 10]. Rice equivalent yield is directly associated with the yield of respective crops in the sequence and so organic manure alone or along with biofertilizers enhanced the yield potential of crops, which ultimately increased the rice equivalent yield of the sequence.
The sequence rice-potato-onion had recorded maximum production efficiency compared to the rest of the treatments and this was due to the better market price of potato and onion in the sequence [11]. Organic manures along with bio-fertilizers recorded the significantly highest production efficiency of the system and this was due to the highest rice grain equivalent yield of crops in the system.
The maximum energy input was recorded in the rice-potato-onion sequence. The energy consumed by the potato through fertilizer, seeds, and human labor and that of the onion for irrigation (electricity) and inter-culture operations resulted in higher energy input. The energy involved in N fertilizer was particularly higher in sequences involving potato and onion, which relatively consumed a large proportion of energy in seeds. The pooled data indicated that the maximum gross energy output, net energy return, and employment generation was obtained in the rice-potato-onion sequence. This clearly exhibited that besides having more energy input, this sequence also produced the highest energy equivalent, resulting into maximum gross energy output, net energy return, and employment generation [12]. In general, the gross energy output, net energy return, and employment generation of the system remained comparatively higher during the second year than that of the first year. Application of nitrogen through organic manures along with bio-fertilizers recorded maximum average energy input, gross energy output, net energy return, and employment generation of the system because this sequence was more input intensive as well as had the highest productivity level.
Data related to economics as affected by various cropping sequences and organic nitrogen treatments of two years of experimentation are presented. The maximum cost of cultivation, gross return, net return, and profitability was recorded under the sequence rice-potato-onion, which was significantly higher than that of the other sequences. This was mainly due to the higher production potential of potato, accompanied with good monetary return from the onion. The highest values of cost of cultivation, gross return, net return, and profitability were associated with the application of nitrogen through organic manures along with biofertilizers. This was mainly due to higher productivity without a proportionate increase in the cost of cultivation.
Nutrient uptake by different cropping sequences is the function of crop yield and nutrient content. The increase in these factors was responsible for the increased nutrient uptake during both years of experimentation of the system, which was at the maximum under the rice-cowpea-maize sequence. This was significantly superior to the rest of the sequences in this respect, which could be a higher productivity potential of maize ascribed to the increase in the available nitrogen, phosphorus, potassium, sulfur, zinc, iron, copper, and manganese contents in the soil resulting from the increased availability of nutrients through organic sources particularly through organic manure along with biofertilizers.
Data on the nutrient status of soil organic carbon, major (nitrogen, phosphorus potassium), secondary (sulfur), and micronutrients (zinc, iron, copper, and manganese), recorded maximum improvement, in this respect, was observed where pulse crops were incorporated in the sequence. Application of either organic manure alone or with biofertilizers significantly improved the soil status with respect to organic carbon and nutrients under study. It is quite obvious that this might have added greater organic sources and biofertilizer to the soil, ultimately improving the soil\'s organic carbon. Similarly, [13] also reported that 100% nitrogen (1/3 each from cow dung manure, neem cake, and composed crop residue) appreciably increased the organic carbon (6.3 g kg-1) over the initial value (5.8 g kg-1).
The application of organic manure along with biofertilizer significantly improved soil pH, as well as electrical conductivity was associated with the decline in soil reaction might be due to organic compounds added to the soil in the form of organic manure and biofertilizer that produced more humus and organic acids in decomposition. The role of organics is attributed to the supply of essential nutrients by the continuous mineralization of organic manures, nutrient supplying capacity of the soil, and its favorable effect in the soil\'s biological (bacteria, actinomycetes and fungi) properties [14,15]
The inclusion, of the two high-value vegetable crops in sequence having 300%, rice-potato-onion had the highest rice equivalent grain yield, production efficiency, net energy return, as well as net monetary return and profitability. However, the best benefit ratio was highest in the sequence rice-potato-cowpea (green pod). Thus, rice-potato-onion was observed as the most intensive, stable, and profitable high-value cropping sequence for irrigated ecosystems.
The organic N nutrition of organic manuring with biofertilizers had the highest rice equivalent grain yield, production efficiency, net energy return, as well as net monetary return and profitability on rice-based cropping sequence.
The different cropping sequences of rice did not differ with respect to yield and quality parameters. However, the organic N nutrition with organic manures along with biofertilizers proved significantly superior with respect to the yield and quality parameters of rice, potato, and onion.
The different cropping sequences of rice differ with respect to nutrient uptake, i.e., rice-maize-onion had the highest removal of major (N, P, K), secondary (S), and micronutrients (Zn, Fe, Mn, Cu) than the rest of the cropping sequences and was significantly superior to rest of the sequences.
The organic N nutrition with organic manures along with biofertilizers had the highest nutrient acquisition of major (N, P, K), secondary (S), and micronutrients (Zn, Fe, Mn, Cu).
The different cropping sequences of rice did not differ with respect to nutrient status as well as microbial count. However, inclusion of pulses in sequences showed positive improvement on soil health and the effect can be quite effective and visible on a long term basis.
The organic N nutrition with organic manures along with biofertilizers proved superior due to its visible favorable effect on soil health with respect to nutrient status and microbial count and this indicates the utilization of this low-cost but long-term beneficial practice under high intensity cropping for sustainable crop production.
During the past 30 years, there has been significant advances in technology for the treatment of patients with Diabetes Mellitus. Most of these advances have focused on patients with Type 1 diabetes mellitus. The perception has been that individuals with Type 2 diabetes mellitus have not needed these advances or that they are not appropriate for a population that does not always require insulin.
\nType 2 diabetes mellitus is a disease which is multifactorial: linked to metabolic derangements, Obesity, dietary behavior along with lifestyle issues particularly those individuals who are Sedentary [1, 2]. Given these factors, technology has been considered as adjunct therapeutic modalities to use in addition modification of diet, education, medications and lifestyle changes.
\nContinuous Subcutaneous Insulin Infusion (CSII) has been utilized since the 1970s for the treatment of Diabetes Mellitus. The first insulin pumps were extremely large and bulky. Dr. Arnold Kadish devised a backpack insulin pump in the 1960s, but it proved to be less than optimal for everyday use. Dean Kamen in the late 1970s developed a more practical portable insulin pump which was eventually produced by Baxter called the Auto Syringe. This was the initial insulin pump that this author utilized in the early 1908s. Insulin pumps have evolved significantly over the past 40 years becoming smaller, more precise in the delivery of insulin doses and more reliable than their older versions [3]. During the 1980s to early 2000s, there were several companies providing insulin pumps to the public. Due to varying factors, these companies ceased production and in the late 2000s, there were only 4–5 companies in the US. As of 2018, there are only three large companies still functioning in the USA: Medtronic Diabetes, Omnipod and Tandem. There are several more companies in Europe that are providing insulin pumps. In the future there may be additional entries into the US market from other companies. Patch pumps are of particular interest to many individuals with DM.
\nThe use of continuous subcutaneous insulin infusion as a primary therapy for Type 2 DM patients has been investigated for the past 40 years. It has been utilized in various patient groups, including those who have newly diagnosed Type 2 DM. It is noted that individuals with Type 2 DM have poor to average control [4].
\nMultiple uncontrolled studies from 2008 to 2013 evaluated insulin pump therapy (CSII) in patients with Type 2 diabetes mellitus. The various studies indicated switching to CSII therapy led to improved glucose control generally, reduction in daily insulin doses compared with conventional Multiple Dose Injection therapy (MDI) and improved patient satisfaction [5]. These studies were conducted in various entities- Clinical Research Centers, Hospital outpatient clinics and small private outpatient offices.
\nRandom Clinical Trials evaluating the efficacy of CSII therapy versus conventional MDI have been conducted and published since 1991 [6, 7, 8, 9, 10, 11, 12, 13]. Many of these earlier studies were shorter ranging from 16 to 32 weeks and showed minimal benefit of one modality over the other.
\nThe OpT2mise trial included a large heterogeneous population noted significant benefit compared with MDI with lower HbA1C levels, decrease in insulin requirement and no significant change in weight and no change in hypoglycemic events. This was a large scale multi center international trial which compared the efficacy of CSII therapy to intensive MDI therapy in patients who were not able to reach HbA1C goals despite intensified MDI regimens. This was a randomized parallel group study encompassing a run-in phase, 6-month randomized phase and a 6-month continuation phase. To continue in the trial a minimum of 3 measurements of glucose per day was required [14].
\nThe study noted that CSII therapy significantly improved blood glucoses in patients when compared with MDI regimens (~ mean difference was 0.7%). There was a 20% decrease in the total insulin dose per day with little or no change in hypoglycemic events or weight gain. Additionally, these results also indicate that selection of the proper individual for CSII treatment is paramount. The study also noted that ~ 38% of patients in the CSII treatment arm had mild cognitive impairment. Patients with such impairments can successful implement CSII therapy with proper training and education.
\nThis landmark study of CSII in Type 2 DM individuals does has some notable limitations. Patients with insulin resistance utilizing greater than 220 units per day were excluded. This is a large population which is increasing, and further large studies need to be considered. The study did not include individuals utilizing concentrated forms of insulin (U-200 and U-500).
\nAdditionally, the study does not take in account the availability of continuous glucose monitoring and depended on serum blood glucose (SBG) monitoring. With the advent of flash glucose monitoring and advances in continuous glucose monitoring (CGM) discussed in another part of this chapter, additional studies comparing CSII and MDI in these patients may be warranted.
\nAt present, the CSII systems available for patients with Type 2 DM include pumps with sensor combinations that have the ability to suspend delivery if the sensor notes low glucose [15].
\nThese systems are presently the only ones approved for patients with Type 2 DM.
\nFuture advances in CSII use for Type 2 DM could include the use of the hybrid closed loop system which now available for Type 1 DM individuals. The Medtronic hybrid closed loop system is the only one currently available. This system automatically adjusts the basal delivery every 5 minutes based on sensor readings. The system attempts to maintain glucose levels to an assigned target [16]. This form of CSII therapy functions with two different modes: Auto mode which uses an algorithm to respond to glucose levels. Manual mode is similar to previous pump-sensor combinations and requires preset basal rates by the individual in conjunction with his/her physician. Both systems still require manual meal bolus (MB) administration and manual correction for consistently elevated glucoses. Other companies are presently testing their versions of closed loop hybrid systems which may be available in the near future [17].
\nPatient with extreme insulin resistance have been at a disadvantage utilizing CSII therapy due to the restricted capacity of the pumps (either 180 units, 200 units, 300 units). One company in Europe has developed small insulin pumps with 500 unit and 800-unit capacity though this system is presently not available in the United States [18]. Physicians have resorted to utilizing U-500 in the pumps to decrease the frequency of site and pump changes. Several studies have noted the efficacy and improvement in quality of life with the use of U-500 in CSII therapy [19, 20]. Additional attempts to improve glucose control, quality of life, decreasing insulin requirements for Type 2 patients has led to use of so called “double pump” systems, utilizing insulin in 1 pump and pramlintide in an additional pump. Results in a small non-double-blind placebo-controlled observational study indicated a 10–20% decrease in insulin requirements, improvement in glucose control, weight loss and significant improvement in quality of life [21]. Limitations included the ability to obtain supplies for two separate pumps and utilization of pramlintide as this medication in vials was discontinued by the manufacturer at the direction of the FDA.
\nCSII therapy has been considered an improvement over traditional MDI therapy due to multiple factors: (1) There is predictable absorption of insulin. MDI which traditional requires injection of larger doses of insulin will form a depot and generally less efficacious in absorption and metabolic activity compared with CSII which involves smaller volumes [13]. Both the basal rate and meal bolus with CSII can be utilized with more precise insulin increments (tenths or hundredths of units). (2) Patients using CSII therapy appear to have increased satisfaction with this form of insulin therapy compared with traditional MDI injections. Based on personal observation and previous studies, patients find CSII more convenient for their lifestyle, easier to utilize after being trained and more likely to adhere to the treatment regimen. There is less likelihood of omitting (forgetting) their dose of insulin as compare with MDI. Peyrot et al. noted that patients record regular omission of insulin injections [22]. Personal observation of patients within my practice regularly indicates individuals utilizing MDI regularly admit missing meal time insulin injections. Those using CSII therapy note that since the insulin pump is attached and readily available, along with various alarm reminders missing doses is minimal. (3) The ability to download information from insulin pumps to websites (each pump has its own download capability which can cause increase work for the physician) can facilitate more efficient data collection and an ability to change the treatment regimen between patient visits.
\nGiven the advantages of CSII therapy over MDI therapy, it would appear that CSII therapy should be considered for individuals with Type 2 DM as it is now considered for patients with Type 1 DM. However, cost effectiveness in several health systems has not been completely demonstrated. Current policies in many health systems are varied and the ability for patients to obtain access to CSII therapy may be limited.
\nContinuous glucose monitoring or CGM was first available for research projects in the 1970s.
\nMiles Laboratories in the late 1970s developed the Biostator which was large, bulky and required IV access. It had little use in everyday clinical practice, due to its size, need for constant supervision, IV access and waste of blood in order to measure glucose levels [23, 24].
\nIn 2002, the GlucoWatch Biographer was introduced. It was shaped like a watch, similar to the Apple Watches of today. It adhered to the skin and used interstitial fluid to measure glucose levels every 10 minutes for 13 hours. [25]. See Figure 1.
\nGlucoWatch Biographer 2.
Due to its process reverse iontophoresis, the GlucoWatch had significant drawbacks. It was painful for many individuals, had accuracy issues and was difficult particularly in warmer climates with individuals sweating. The Autosensor, which was replaced every 13 hours had caused skin changes and irritation in many patients. Eventually the GlucoWatch was discontinued in late 2007. It did, however, pave the way for the CGM systems of today.
\nThe current CGM systems use an enzymatic modality that reacts with interstitial fluid glucose and transfers it to an electrode. The electrical current that is generated is then relayed to a reader via Bluetooth wireless or an app on a smart phone which displays the results to the individual. The data can also be downloaded to a computer. Additionally, the information can be stored to the cloud and relayed to the physician or caregiver via a secure website [26].
\nIt must be noted that interstitial glucose measurements can lag 5–15 minutes behind blood glucose measurements particularly if there is rapid variability [27, 28]. Previously, CGM systems required calibrations twice per day which introduced a perceived limitation particularly for individuals who wished to limit “finger sticks” as an incentive to move to CGM systems.
\nThe newer versions of CGM to include the DEXCOM G6, Guardian 3 and a flash form of CGM, the FreeStyle Libre (10-day and 14-day systems) have decreased the necessity of frequent calibrations.
\nIn recent years, there have multiple studies with CGM involving individuals with Type 2 diabetes mellitus. The focus has been efficacy, the effect of CGM with regards to hypoglycemia and glucose variability [29]. A study conducted by Vigersky et al. with patients utilizing diet, lifestyle vs. other combinations of oral agent therapy with or without basal insulin noted a reduction of mean unadjusted HbA1C of 1.0% vs. 0.5% in the SMBG group at week 12 and 0.8% vs. 0.2% at week 52. This occurred without intensification of medication or an increase in hypoglycemic episodes [29]. An additional study by Fonda et al. noted even an intermittent use of CGM may be appropriate for motivating individuals or helping to avoid “burnout” [30, 31].
\nThe DiaMonD study (Daily Injections and Continuous Glucose Monitoring in Diabetes) study was a 6-month randomized control trial that compared the effectiveness of CGM to SMBG in individuals using MDI (multiple daily injections). This included both Type 1 and Type 2 DM patients. The results of the 6-month trial for Type 2 patients was published in 2017 and noted the following: Type 2 DM individuals after 24 weeks using CGM had an average 0.8% reduction in HbA1C levels compared with baseline. Those with higher A1C levels noted the greatest reduction with a group starting with A1C levels greater than 9.0% noting an average 1.4% reduction from baseline. Those using CGM had an increase in time spent in the target range compared with the control group (those only using SMBG). The A1C reductions occurred with minimal changes in insulin doses, little or no change in regimen or addition of non-insulin medications [32].
\nCGM has also been useful in recognizing previously undetectable episodes of hypoglycemia. Studies conducted by Zick et al.; Pazos-Couselo et al.; Klimontov and Myakina all noted a significant higher percentage of hyperglycemic episodes observed with the use of CGM compared with SMBG use.
\nThe use of CGM particularly in older individuals utilizing insulin therapy has noted significantly higher incidences of nocturnal hypoglycemia compared with those utilizing only CGM. This indicates that CGM can be useful in high-risk Type 2 DM populations such as the elderly, those with special needs and individuals that have difficulty utilizing HGM such as severe arthritic conditions, vascular issues, etc. [33, 34, 35, 36].
\nCGM is also a tool to assess glucose variability. This has become important in outcome measurements recently in addition to the standard A1C levels. The INITIATION study which tested an insulin initiation algorithm in Type 2 DM patients used CGM in 78 patients who were followed for 24 weeks. The results noted that insulin initiation reduced hyperglycemia but not glucose variability [37, 38]. The FLAT-SUGAR study which randomized 102 patients who were on metformin and basal/bolus insulin to either maintenance with basal/bolus therapy for changing the basal insulin to GLP-1 therapy. The drug used with this study of 26 weeks was exenatide BID. Using CGM it was noted that the GLP-1 group had lower variability of glucose as measured by the coefficient of variation. Of note with this study, A1C levels or episodes of hypoglycemia did note change significantly between the treatment groups [39, 40, 41].
\nThese studies and others both past and presently being conducted have shown the CGM use in patients with Type 2 DM can improve A1C levels, detect risk of hypoglycemia which is not clinically apparent, particularly nocturnally and may be able to assess and address glucose variability.
\nThere are two forms of CGM presently available for use in clinical practice: (1) Professional CGM and (2) Personal CMG. Professional CGM is placed in the physician office and does not require the patient to obtain or purchase a system. It is a blinded system in many instances, that is, the patient has no access to the results immediately and must wait for the CGM to be downloaded in the physician’s office, analyzed and then informed of the results. These systems can be worn for 3, 7 or 14 days, though generally the 7- or 14-day systems are more popular today. The systems available today in the United States for professional use are: the DEXCOM Professional system, the FreeStyle Libre Pro system, Medtronic iPro 2 system. Most of these systems do require additional calibration. Once the study is completed, the data is downloaded to either the cloud or a specific program on the computer and then can be reviewed by the physician or allied health provider in conjunction with the physician and then shared with the patient. The blinded system can be helpful in regards that the patient is not responding during the time of the study but continuing their usual habits to include diet, activity and medications. Reimbursement for use of Professional CGM has improved over the past several years particularly in the United States. Requirements as the reporting of CGM results can vary among the different health plans which can lead to limitations in its use.
\nPersonal CGM consists of an individual obtaining a system which is unblinded and provides blood glucoses every 5+ minutes for DEXCOM and Guardian 3 systems. These systems are placed subcutaneously and have alarms with notify the patient when certain patterns or thresholds are detected. There are multiple threshold alarms, rate of change alarms, predictive alarms. Predictive alarms are useful in that it permits the individual to take preventative action rather than corrective action. However, the downside of these alarms is that there can be false positives and false negatives. This can lead to so-called “alarm fatigue” [42]. Individuals will in many instances either ignore or silence the systems due to the multitude of alarms. In some cases, they will abandon CGM altogether. The DEXCOM G5–6 system is the only CGM device at present that is approved by the FDA for a non-adjunctive indication. It can be considered a therapeutic CGM, allowing individuals and physicians to modify therapy based solely on the readings and trends.
\nThe FreeStyle Libre system utilizes a flash monitoring system. It is placed like the other CGM systems subcutaneously but provides glucose results when the CGM is scanned. Thus, the results are intermittent depending on the frequency of scanning by the patient [43]. The newest of the FreeStyle Libre systems, the 14-day unit improves over the older 10-day system with a 1-hour warm up period compared with 12 hours. Several randomized controlled trails note that the use of flash CGM with the Libre system reduced hypoglycemia, increased the time in target range and reduced glucose variability [44, 45] Studies and personal observation have also shown higher device utilization. This may be due to the simplicity of application and ease of use. The use of this system in increasing and may prove to be an asset particularly in individuals who may not need the sophistication of the more complex CGM system but want the benefit of CGM and not have to consistently perform SMBG or finger sticks.
\nAdditional studies in Europe have shown the cost effectiveness of CGM in the management of patients with Type 2 DM receiving intensive MDI regimens and also improvement in the detection and avoidance of hypoglycemia in individuals with Type 2 DM [46, 47].
\nAnother technological advance in CGM has been the development and approval of the implantable CGM system by Senseonics called the Eversense System. The system consists of an implantable cylindrical sensor 3.5 mm × 18.3 mm in size. This is implanted by the physician every 90 days in the upper arm area under the skin. When the system in activated, it measures interstitial glucose levels every 5 minutes. The data is transferred to a battery powered transmitter that is worn externally over the sensor. The external transmitter also provides alerts similar to other CGM systems for impending hypo or hyperglycemia. The transmitter needs to be recharged for ~15 minutes every other day. The sensor is explanted, and a new sensor implanted every 90 days. A 180-day sensor is being developed for the future.
\nSeveral studies have shown the accuracy and acceptability of an implantable glucose sensor. The PRECISE and PRECISE II studies noted that the Eversense system was safe and provided accurate glucose results during the 90-day sensor life [48, 49]. An additional study in the UK and Germany comprising a subgroup of individuals in the PRECISE trial who were administered quantitative psychosocial assessments that included the Diabetes Distress Scale (DDS), CGM Impact Scale and a bespoke device satisfaction questionnaire. The results of the sub study indicated that an implantable CGM was acceptable to most of the participants and the majority of users both first time to CGM or previous CGM users would continue to use an implantable CGM to manage their glucoses and DM more effectively [50].
\nAs the accuracy of CGM improves, particularly in the hypoglycemia range, the acceptance should also increase. However, at this time, CGM still does not, in the eyes of the regulatory agencies substitute fully for conventional SBGM. With continued development and use, it appears that eventually CGM, with or without CSII therapy will become the “standard of care” for both Type 1 and Type 2 diabetes mellitus.
\nMost individuals with DM, particularly Type 2 DM, who utilize insulin therapy are using insulin pen systems to deliver their daily insulin dose. Previous administration of insulin via syringe and vial has been difficult to administer and master. Additionally, accuracy of dose has been questioned. Insulin pens are one of the most widely used devices worldwide in DM treatment and care [51].
\nA recent review of the literature and meta-analysis noted that insulin pen devices noted improvement in patient adherence and persistence with their treatment regimen. Hypoglycemia was noted to be reduced, with a possible improvement in dose accuracy in pen devices. However, these studies were limited, and the authors of the meta-analysis recommended additional larger scale studies [52].
\nAdditionally, there is the issue of documentation of insulin doses. Many patients do not record the time and dose of insulin consistently. Many will state that they took their insulin with meals, nighttime, for correction of their glucose, etc. but will not be able to provide accurate documentation. Therefore, this can be a significant barrier to glycemic control. Guidelines developed by various organizations make no mention of the need to record insulin dose administered and timing of injection whether the patient uses pen or syringe/vial.
\nIn December 2017, the FDA approved the first smart pen system in the US. This insulin pen system records the dose of insulin and time of injection and transmits the data via Bluetooth to a mobile application that is downloaded on the patient’s smart phone. The mobile app has the capability of dose calculation and less than whole number units which conventional insulin pens are not able to deliver.
\nIt can also inform the individual how much insulin is on board (IOB) similar to CSII devices. This data is stored on the individuals’ smart phone and can be brought easily to the clinical visit for analysis by the physician/health care provider.
\nThere may an additional entry in this area. Bigfoot Biomedical is developing an insulin smart pen that will connect to the FreeStyle Libre system. It will be controlled with a mobile app and hopefully adjust long and short acting insulin doses without manual input [53].
\nThe benefits of a smart pen system in the treatment of individuals with DM can be summarized as follows:
Improvement in poor adherence to the treatment regimen and omission of insulin doses.
Having the data readily available and reminders on their phone can provide an extra incentive to be more compliant with their regimen.
Improvement with the risk of insulin dose errors. Access to dosing and timing of insulin can facilitate more accurate doses and limit the risk of accidental overdose or under dosing.
This being a relatively new technology, these devices will need to demonstrate improvement in clinical and QOL (Quality of Life) outcomes, cost effectiveness, ease of training and use. However, many of the technologies discussed above have underwent the same scrutiny. The issue of cybersecurity as with any connected DM devices will need to be resolved to maintain patient confidentiality and integrity of the data. Smart pens may be an alternative to individuals who do not want CSII therapy for a multitude of reasons but would like to intensify their regimen and have access to appropriate dosing and timing of insulin to improve their glucose control.
\nData Management software for diabetes has been available since the late 1980s to early 1990s. However, acceptance and adoption by both patients and physicians has been slow. The issues have been the ability to download or upload data with each device having its own set of software and cable connections. In many cases, physician offices had upwards of 6–10 different connections to obtain data from SMBG meters and other devices.
\nOver the past two decades, a number of innovations were developed that “streamlined” the ability to obtain data from patient devices. There has been an improvement in device connectivity with most devices now able to utilize Bluetooth technology thus eliminating the need for multiple cables or hubs. Additionally, smartphone technology has decreased the cost and complexity of data sharing. The use of automated uploads from devices to the “cloud” has allowed both patient and physician to have almost real-time access to data [53].
\nProprietary cloud data platforms from multiple device manufacturers have been able to provide secure data and have developed common formats, easing the burden on physicians and their offices to maintain multiple programs. Also, many of the device companies, including those manufacturing SMBG devices have developed complex reporting capabilities that have been designated as Ambulatory Glucose Reports or Profiles.
\nThe multitude of apps for the patient with DM has led to concerns of quality and safety. Apps available at both the Google Play store and Apple App Store may little or no oversight. A recent study in 2016 found that the majority of apps from the Google Play store did not meet the minimum requirements or did not work appropriately [54, 56] Additional studies are needed to fully investigate the efficacy and utility of mobile applications with regard to the treatment of individuals with Type 2 DM.
\nAnother approach is to combine the mobile application, the cloud with a remote coaching system. Studies are now ongoing to assess the effect of individuals using a smart phone-based glucose monitoring system which automatically moves data to a secure cloud-based site [55]. A designated “diabetes coach” which is a health care provider (RN, NP or physician) then reviews the data several times per week and remotely connects with the patient to provide recommendations or discussion. Results are pending in these studies and hopefully preliminary results will be available in 2019. (Personal Observation).
\nThe use of Artificial Intelligence (AI) in the treatment of patients with Diabetes is emerging and advancing at significant pace. Multiple programs are being developed to improve adherence and personalize the individual’s regimen. Studies are ongoing to determine whether pattern recognition and the ability of machine learning can provide the patient with diabetes mellitus a unique, individualize model which is automated and can assist with predictions and decisions. At this time, AI cannot and does not substitute for patient – physician interaction and communication.
\nThis chapter attempted to briefly outline the technological advances in the treatment of Type 2 diabetes mellitus. It is noted the technology has improved the quality of life, blood glucose control and possibly decreased the risk of complications. However, it must be pointed out to the reader that technology, no matter how advanced, does not substitute for personal interaction with patients. The ability to know your patient, his/her lifestyle, stressors, etc. plays an important role in designing the proper treatment regimen. Continued advances in technology will in the future make the physician/healthcare provider and the patient’s ability to control his/her blood glucoses less complicated but ultimately the decisions to maintain diet, exercise, monitoring of glucoses remains with the individual.
\nThe author notes that he is a member of the DSMB and CEC for Medtronic Diabetes and serves on the Speaker’s Bureau for Sanofi and Astra Zeneca.
The author wishes to thank his wife for assisting in the research for this chapter and his associate and staff for permitting him to devote extra time from the practice to complete this endeavor.
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