Fungicides used in the protection of
1. Introduction
Forest nurseries in Serbia are used to produce seedlings for afforestation, plantation establishment, reclamation of degraded forests and scrub, eroded terrain, barren and therefore it is important their proper growing and protection. Based on the review of nursery production, the data collected in 2011th, Serbia's state and private sectors, for the afforestation of the total produced 2, 238.798 seedlings of black pine (
Pine seedlings are produced in Serbia under the Nature Conservation Movement Svrljig and Surdulica, then „Erosion“ of Nis and the private sector (1 site in Sjenica), but to a lesser extent, so that all of the above locations outside the system "Srbijasume" in 2011. total production amounts of black pine are 326 000, white 30, 000 seedlings aged 1 to 3 years.
In a larger scale, pine seedlings are produced in nine forest management within the public company "Srbijasume" (Uzice, FC, Kraljevo, Krusevac, Despotovac, Pirot, Leskovac, Boljevac and Prijepolje). The greatest production of pine seedlings in the forest management Pirot, which in the past 2011th has had production of 637 760 seedlings of red pine and white pine seedlings 457 500. Woodlands Pirot is a modernized production plant conifer seedlings and is scheduled to be (when the system is a spy) and produces up to 4 million seedlings per year, which would fully satisfy the domestic market and allow export to Bulgaria, Greece, Macedonia and other countries.
Development of nursery production in neighboring countries, for example. Croatia is linked to the beginnings of reforestation karst. The first nursery for the production of forest trees was established in 1879. in Sv. Michael in Senja. Annual capacity was 1.8 to 2 million seedlings. They were mainly produced by pine trees and some sawmills. Shortly after that were built other nurseries, for example. Chestnut nursery (in Senj prefer), Podbadanj (Crikvenica), etc.. Some of them are still active (Podbadanj). Until the end of World War II forest seedlings were produced in temporary forest nurseries, which are mostly done manually. Most were produced by conifers. Only in karst areas were produced seedlings covered with roots. The largest number of existing nursery was founded in the sixties of the 20th century. They introduced modern production technology. Great attention is paid to the origin and quality of seeds, soil fertility and control safeguards.
According to figures presented Zgela [89], Croatia is the production of pine seedlings in the period since 1991. to 1998. amounted to an average of 253 000 pieces. Planned production of pine seedlings in the period since 1999. to 2003. was an average of 205 000 pieces.
In Bosnia, according to the "Center for Seed - nursery production" in Doboj, the production of conifer seedlings is conducted on an area of 9 ha, of which 6 related to conifers nursery a 3 ha in seminary. The production of conifer seedlings pine accounts for 25% or 2.87 million units, of which the system are not about 145, 000 pieces of plants, which are located in nursery. Production of white pine is about 1, 500, 000 pieces. White Pine also has the most important production in seminary as well as pine, because it is distributed to the field as a two-year seedlings, and less educated as a seedling. The highest production of shortleaf pine seedlings occurred prior to 1987 with at least 2 million seedlings being produced annually. Today less than half a million seedlings are produced at the nursery. Before 1990 most of the seedlings were delivered to the Mark Twain National Forest, but now it is a minor player in artificial regeneration of shortleaf pine. Trends in seed distributed for direct seeding followed those of seedling production [90].
Seed production in natural plant populations vary widely from year-to-year in response to weather variables, insects and diseases, and internal cycles within the plants themselves. Over a 20-year period, for example, forests composed of
Occurrence of the needle cast disease and the disease agent (historically:
Species from the genus
It is almost impossible to produce healthy seedlings of good quality without control of
Timing of spray applications is critical. Infected plantings should be sprayed three times, beginning in late July, in mid-August, and again in mid-September. In severely infected plantings an additional spray may be required in late September or early October, especially if wet weather prevails during this period. Conversely, in lightly infected plantings, the initial, late July spray may be omitted if dry weather prevails at this time. Studies show September to be the key month in which maximum spore release and infection occur.
When application of chemical disease control is economically feasible, as in the case of Christmas trees or forest nursery stock, the pest manager must understand the life cycle of the disease to be controlled. For many diseases, only one short window of control may be available in a calendar year, or the control spray may have to be applied preventively – before any signsor symptoms of disease are present. Chemical control measures must be applied when infection is most likely to occur or it will be a waste of time, effort and money. Undersanding the life cicle of disease organism enables to make a proper and timely management decisions.
It is known that the occurrence and development of parasites in special area is largely affected by meteorological factors (temperature, humidity, precipitation, etc.). In addition, to undrestand the disease it is important to monitoring phenological phases through which the plant passes during the growing season, especially the "critical stage" of development during which the plant is vulnerable to attack parasites. In addition to these and many other factors (sources and amounts of inoculum, plant resistance, cultural practices applied) affect the emergence and spread of harmful organisms. Study of all these factors, as well as using appropriate forecasting model, it is possible to predict the occurrence of pathogens in a specific location and signal the optimal timing of pesticide applications, ie. promptly notify the producers on the implementation of these measures.
Thus, obtaining a high-quality information in a short period of time, and appropriate professional advice about the time of application, the required dose and choice of products, farmers can save time, reduce losses and increase production yield and quality of its products.
Forecast of harmful organisms is its contribution to the rational use of pesticides and is increasingly gaining in importance. As crop production affected the emergence of different groups of harmful organisms (fungi, bacteria, insects, weeds), which differ in their nature, biology and way of causing damage to the area and share forecasts and develops in accordance with the area to which it relates.
Forecast of harmful organisms is a complex process, the quality of the work requires continuous and thorough implementation of all necessary procedures. A very important role during this process belongs to the monitoring of meteorological conditions in the crop or plantation, necessary for the emergence and growth of harmful organisms. The rapid technological advances in this field of meteorology has enabled the introduction of more modern and easier monitoring devices required meteorological elements.
When it comes to diseases by fungi nature, among the first instruments that were used for these purposes were different thermohygrograph production, which recorded data on the length of wetting rate, relative humidity and air temperature. Today, the prognosis of the disease using automatic weather stations whose work supports various software: μMetos (PESSL instruments-Austria), WatchDog (Spectrum Technologies, Inc.-USA), BAHUS (Faculty of Agriculture - Novi Sad) and others. This way is much easier to monitor the conditions of infection in orchards and crops, and created the ability to view a large number of locations depending on the number of cells, which allows for easier monitoring procedure and prognosis of the disease in a large area, making forecasts gets much broader dimension. Thanks to all of the above, achieved significant progress in setting deadlines for the treatment plants and the rational use of pesticides.
The incubation method is the most versatile because it follows the development of parasites, hosts and climatic conditions. As such it is necessary organization of the plant protection service. They also predict the use of fungicides to protect pine seedlings from pathogen
To facilitate the production of healthy and quality seedlings, it is necessary to use appropriate phytosanitary measures with the use of appropriate pesticides. I n Serbia there are still not in full use of legislation which includes all allowed products to protect seedlings in nurseries. The certification of forest products is in progress and many are discharged from service, and for which no adequate and field tested replacement. So often in nursery production in Serbia in recent years using insufficiently tested means, or which have shown efficacy in other climates, and have a certificate in relation to our weather.
Therefore, this study should complement and demonstrate the practical use of the fungisides are effective in Serbia, and that without being toxic and the fungicides approved for use. In addition, given that the same is climate different area each year (weather conditions change from year to year, which is particularly acute in recent years, because there are large fluctuations and climate change), models are essential for the prognosis of the disease each year, which also gives the study. Model predictions of some infectious diseases occur in a specific time period each year, the timely preparation of appropriate means to protect effectively to prevent disease and rehabilitation centers in the beginning of infection, before the advent epiphytotia, which would result in a greater amount of healthy trees with a minimum expenditure of resources.
On the basis of previous positive experiences of colleagues scientists from other fields, we tried to apply their experience and to pathogens which will induce diseases in forest plantations. In the field of forestry is limited use of pesticides because of the introduction of FSC policies, generally there are no registered products for the prevention of pathogens in the field of forestry, techniques and the application is poorly developed. We wanted to give our contribution in the first implementations of forecasts from pathogens in foresty according to models that are already used in agriculture. Further research should lead to registration of fungicides for this purpose in the territory of the Republic of Serbia in line with the FSC and the forestry policy, and to study the possibility resistance of fungus to recommended active ingradients since the use of fungicides were for several years undocumented.
2. Lophodermium needle cast
2.1. Biology of the pathogen
The disease has previously been considered to be caused by
First symptoms of the disease may be visible on pines in September – October as small yellow to brown spots on needles [12, 30, 4]. Later, 5 months after inoculation, needles turned brown and died, but the death and shedding of needles did not kill the plants although the new shoots were visibly weakened [4, 31, 32, 56]. Owing to the loss of healthy foliage, tree growth and quality were lower in outplanted infected trees than in healthy ones [51].
Ascocarps of
Germinating ascospores form germ tubes ending in melanized, appressorium-like structures [30, 53] that penetrate the cuticle and epidermis [42]. The yellow margin of the lesion is caused by starch-free cells in the mesophyll and these cells were externally shown to form the yellow margin of the lesion [30]. Furthermore, the amount of chlorophyll and carotenoid pigments in infected needles is 1.2–3.8 and 1.3–2.4 times lower than in healthy ones, respectively [43]. Seedlings infected with
Typically, infected seedlings do not survive planting stress [44] and so there is a need to identify latent infections in material stored below 0° C prior to planting. Stenström and Ihrmark [45] have developed species-specific PCR primers which detect also latent infections of
The study of Martinsson [12] described that development of the fungus is very irregular and depends on environmental factors. The life cycle of the pathogen the commonest in central Europe has been described by Rack [10]. In damp weather during late summer and autumn ascospores spread from the needles on the ground. The spores germinate on the surface of living needles. From the beginning of August small brown infection spots can be observed. When the temperature increases in April-May, a rapid change occurs. Within a few days a whole stand of pine can change its colour from green to reddish-brown. Depending on the strength of the wind, the needles then fall off fairly rapidly. As a rule, severely affected seedlings stand completely devoid of needles for some time, until the new shoots have had time to develop new needles. The conidial stage of the fungus is developed first and can sometimes be observed before the needles are shed. After the needles have fallen, the apothecia of the fungus develop during late summer and autumn. They occur as dark elliptic spots on the surface of the needle. Later apothecia develop from the tissue of the needle into gatherings, slitting longitudinally in damp weather and discharging the spores. The fungus can also have a longer life cycle lasting for several years [8, 9, 10, 11]. The filiform ascospores have a length of 100-160
The fungus has a parasitic and a saprophytic stage. The parasitic stage constitutes the part of the life cycle in which the fungus lives on and in the live needle. The saprophytic stage constitutes the other part of the life cycle. The development of the apothecia is most rapid in those needles that have been shed in June-August. The development is accelerated by high humidity. The optimum temperature for an apothecia formation seems to be 13 to 14°C, which is lower than the optimum temperature for the vegetative growth of the mycelium, which is about 18°C [10, 16]. During its saprophytic stage the fungus is highly dependent on the environmental factors influencing the moisture on the ground level. This is considered a contributory cause to the fact that the damage is especially frequent in dense plantations in grasscovered habitats and in nurseries [8]. There are also examples of stands considerably exposed to the wind being heavily attacked by
2.2. The diseased pine
High precipitation during late summer and autumn creates favourable conditions for infection [4, 32]. Due to the less severe climate, southern populations of
Also, in his study Martinsson [12] finds that pine seedlings with secondary needles usually survive single attacks by the pathogen. Even if all the needles have been affected and fall off in spring, the seedling is usually able to develop a new shoot with healthy needles out of the apical bud by means of the stored nutrients in the stem, branches and roots [8]. Seedlings with primary needles only, however, have less chance of surviving the attack. These small seedlings have less nutrients stored and the primary needles do not fall off as easily as do the secondary needles; thus, the fungus grows into the shoot as well. In seedlings with secondary needles the fungus does not usually have time to reach the dwarf shoot, since the needle is shed before that. This needle shedding is a defence mechanism initiated by the pathogen. The infection starts the processes that cause the needle to fall off [23, 24]. The growth of a pine seedling depends upon the photosynthesis of the green biomass. If a large number of the needles formed during or before the preceding year are lost, root as well as stem and shoot growth is affected both directly and indirectly. The earlier during the year the needles are lost the more serious will be the negative influence [10]. The nitrogen and carbohydrate supply in the seedling are built up in the previous year's needles during the spring. These nutrient reserves are largest immediatly before the buds open [25], i.e. usually during the season in which the pine seedling can be deprived of its needles to a greater or lesser degree by
2.3. Economical significance
When chemical disease control application is economically feasible, as in the case of Christmas trees or forest nursery stock, it is essential that the pest manager understand the life cycle of the disease to be controlled. For many diseases, only one short window of control may be available in a calendar year, or the control spray may have to be applied preventively before any signs or symptoms of disease are present. Chemical control measures must be applied to the plant when infection is most likely to occur or it will be a waste of time, effort, and money. By understanding the life cycle of the disease organism, you will be able to make proper and timely management decisions.
2.4. The efficacy of current management strategies
Disease surveys are important and are the first step in application of control measures. Detection, appraisal, and control surveys are made for early recognition of disease; for information on scope of attack, extent of damage, possibilities for control, estimates of costs, and delimitation of control areas; and for assessing the effectiveness of control programs.
The major objective of disease management is to prevent or minimize losses while preserving tree quality. Absolute disease control is rarely achieved or even attempted. More often, management efforts are directed toward preventing disease or reducing it to the status of a tolerable nuisance. In most instances, forest disease management requires preventive methods over a long period of time and considers the stand as a whole rather than specific diseased individuals. Christmas tree disease management, on the other hand, is more likely to consider the value of each tree. Management measures must be economically feasible expenditures must not exceed the expected benefits. Direct control of disease in the forest is limited by many factors, including:
The vast areas involved.
The inaccessibility of many stands.
The long life cycle of trees.
The relatively low per acre or per individual tree values
Thus, spraying, dusting, or other direct control procedures commonly employed with high-value crops such as Christmas trees, forest nursery crops, and valuable seed orchards are rarely applicable in the forest. Occasionally, however, disease epidemics of introduced forest pests warrant drastic and costly direct control measures to meet the emergency.
3. Other Lophodermium species that seem to be involved in the disease complex
Different periods of mass infection during a year, then different types of ascospore germination, penetration of germ tubes directly through the cuticle or through the stomata, significant anatomic-morphological differences of fruiting bodies (in particular apothecia) on primary and secondary needles, as well as numerous other ecological, biological, physiological and pathological characteristics point to the existence of a number of
Lazarev [6] had noted that
4. The history of fungicide usages against pine nidle cast
Several factors must be considered before a chemical control procedure is followed. First, the type of
Chemical control of
During the 1990s, there were serious outbreaks of the pathogen
Chemical controls have been successful in managing
Nicholls [76, 51] suggested to apply a registered, preventive fungicide such as chlorothalonil or maneb, once every 2 to 3 weeks during the major infection period from late July through October. Apply more frequently if wet weather persists. Do not grow seedlings next to red or Scotch pine windbreaks that can serve as a
The result of experiments on the influence of 12 fungicides such as Carbendazim, Cholrtalonil, Dithiocarbamates, Metham-sodium, Thiophanate-methyl, Bactericide (Tuzet), Benomyl etc. on conidia germination of
During disease susceptible periods, apply sprays at two- to three-week intervals. See below for fungicides and application timing: Bordeaux mixture, chlorothalonil, dithiocarbamates (ferbam, or mancozeb) - Mid-July through October. [78].
Two fungicides: chlorothalonil and dithiocarbamate (maneb) are registered for control of
In Serbia, as well as protective measures against these diseases are given mainly preventative, such as raising nurseries away from infested pine trees from which can carry spores of these fungi. In the critical period for infection, mainly used Dithiocarbamates (Cineb a S-65 and Ortocid-50) in a concentration of 0.3%, which provides almost complete protection against infection of new needles parasites. Number of spraying is reduced to four or five (depending on the quantity and frequency of rainfall). Usualy, the first spraying for
Timing of fungicide applications may vary with geographic location and species of
When practical, diseased needles which have fallen and have piled up on branches or under trees should be raked up and destroyed. This will reduce the number of spores in the vicinity of the tree, and should help reduce the amount of future infection. Also, fungicide applications are more effective in preventing disease when the number of spores has been significantly reduced. When an affected tree is in an area where there are no other pines nearby, it is possible to keep the disease under control without fungicide application by thorough removal of dead needles from the tree and ground. The removed, dead needles should be destroyed by burning, depositing in the garbage, or in some other suitable way. Do
Application of chemicals to plants in order to prevent or inhibit disease development is a fundamental means of managing diseases caused by fungi. Knowledge of the effectiveness of particular compounds is important for achieving effective disease control. Equally important is an understanding of the underlying physiological mode of action of plant disease management materials.
Why is it important to know the physiological mode of action of fungicides ? It is important for resistance management and preservation of fungicide effectiveness. This meanes to incorporate fungicides with different modes of action into a disease management program as an alternation or as a mixture, to prevent the resistance of these pathogens on this fungicides.
FRAC CODE | MODE OF ACTION | CHEMICAL FAMILY(GROUP) | ACTIVE INGREDIENTS |
Respiration | methoxyacrylates | Azoxsystrobin | |
Multi-site contact activity | inorganic | Basic Copper Sulfate | |
Mitosis and cell division | benyimidazoles | benomyl | |
Multi-site contactactivity | phthalimides | Captan | |
Multi-site contact activity | chloronitriles (phthalonitriles) | Chlorthalonil | |
Multi-site contact activity Mitosis and cell division | chloronitriles (phthalonitriles) thiophanates | Chlorthalonil –Thiophanate Methyl | |
Multi-site contact activity | inorganic | Copper Hidroxide | |
Multi-site contact activity | Inorganic dithiocarbamates | Copper Hidroxide+Mancozeb | |
Multi-site contact activity | inorganic | Copper Hidroxide+ Copper Oxychloride | |
Multi-site contact activity | inorganic | Copper Salts of Fatty and Rosin Acids | |
Multi-site contact activity | dithiocarbamates and relatives | Ferbam | |
Respiration | 2, 6-dinitro-anilines | Fluazinam | |
NADH cytochrome c reductase in lipid peroxidation (proposed) | dicarboximides | Iprodione | |
Multi-site contact activity | dithiocarbamates | Mancozeb, zineb, ziram | |
Multi-site contact activity, Sterol synethesis | Dithiocarbamates triazoles | Mancozeb+Myclobutanil | |
Cell membrane permeability | propamokarb-hidrohlorid | ||
Sterol synethesis | triazoles | Propiconazole | |
Mitosis and cell division | thiophanates | Thiophanate-methyl | |
Sterol synethesis | triazoles | Triadimefon |
Table 1.
However, the risk of economic losses with both bareroot and container Scots pine seedlings during an epidemic is so high that routine control with fungicides is considered to be necessary every year [44]. A lower occurrence or absence of the fungus, together with climatic factors such as lower temperatures during autumn and earlier snow cover, may explain the lower risk of needlecast [32, 56]. In general the fungicide spraying times are consistent with the sporulation period of
5. Biological examination of efficacy of some fungicides in serbia
5.1. Material and methods
5.1.1. Experimental conditions
Selection of crop and cultivar, test organisms - This study was established in a forest tree nursery “Barje” in Pirot, Serbia. The research was carried out on the beds of three -year-old seedlings of red pine (
5.1.2. Application of treatments
Test products are: a) Blue bordo (i.e. cooper (II) sulphate pentachloride and calcium hydroxide 200g/kg) used in the concentration of 0.5%, b) Captan WP 50 used in the concentration of 0.3%, c) Previcur 607 Sl used in doses of 75 ml/20 L H20. Mode of application - Applications was done with good forestry practice. Type of application and equipment - Regarding the method of application and amount of water per unit surface, the fungicides were applied using the backstroke sprayer “Solo”; with a consumption of 1000 L/ha of water. Time and frequency of application - Applications of the product were administered so as to coincide with the major spore release and infection periods, i.e. late summer and early autumn. There were 2 applications in total, administered on 21st October and 03rd November 2010. Data on chemicals used against other pests - There were no treatment with other chemicals which have to be used for other pests.
5.1.3. Mode of assessment, recording and measurements
Type, time and frequency of assessment - The appearance and development of flushing and dispersal of pine needles was followed by the initial appearance and development of the disease on the control variation, as well as through accomplishment of a clear difference between the control and other variations on which fungicides were applied. A single assessment was made after overwintering in the spring, on 21st February 2011. Each seedling was scored for percentage of needles affected. The estimation of pine needles with secondary infection was conducted by scale of values which was used to record the results of each needle, as follows: 0=healthy, 1=mild symptoms, 2= medium infection, less than 50% of the needles affected, 3=severe infection, over 50% of the needles affected. The intensity of disease was assessed by the method of EPPO: Guideline for the efficacy evaluation of fungicides -
5.1.4. Statistical data
Data processing was performed using standard statistical methods (intensity of infection according to Towsend- Heuberger [83], the efficiency according to Abbott [84], analysis of variance according to Duncan test [85] and methods PP/181 (2) [86]. The differences of the disease intensity were evaluated by the analysis of variance and LSD-test.
5.1.5. Incubation methods
According Sisakovic [87] for forecasting of pathogen are used incubation methods : a) The method according to Müller, b) The method according to Shatski and c) The method according to Mrezanin and Lipickaja. All of the described methods are for determining the duration of the incubation period and timing of treatment.
5.1.5.1. The method according to Müller – Method 1
On the basis of Müller’s incubation curve, given with the data in Table 2, it can be inferred that the shortest duration of incubation period at the end of which is ascospores capable to erupt ascocarpes. The duration of individual incubations is determined computationally by means of a formula:
C = number of days until the end of the incubation
A = sum of daily incubations starting from the day of onset of the infection until the time it ends
B = number of days elapsed from the day of onset of the infection until the end of the incubation (days with mean daily temperatures of 120C and below are excluded).
5.1.5.2. The method according to Shatski – Method 2
The second method is based on following the incubation, using the percentage of incubation progress for relevant sums of mean daily temperatures for each day separately.
0.0 | 0.1 | 0.2 | 0.3 | 0.4 | 0.5 | 0.6 | 0.7 | 0.8 | 0.9 | |
12 | 13.0 | 12.8 | 12.5 | 12.3 | 12.0 | 11.8 | 11.6 | 11.5 | 11.2 | 11.1 |
13 | 10.9 | 10.7 | 10.5 | 10.4 | 10.2 | 10.1 | 10.0 | 9.9 | 9.7 | 9.5 |
14 | 9.4 | 9.3 | 9.2 | 9.0 | 8.9 | 8.8 | 8.7 | 8.7 | 8.4 | 8.3 |
15 | 8.2 | 8.1 | 8.0 | 7.9 | 7.8 | 7.6 | 7.5 | 7.4 | 7.3 | 7.2 |
16 | 7.1 | 7.1 | 7.0 | 6.9 | 6.8 | 6.7 | 6.6 | 6.5 | 6.5 | 6.4 |
17 | 6.3 | 6.2 | 6.1 | 6.1 | 6.0 | 5.9 | 5.8 | 5.8 | 5.7 | 5.6 |
18 | 5.6 | 5.5 | 5.4 | 5.4 | 5.3 | 5.3 | 5.2 | 5.1 | 5.1 | 5.0 |
19 | 5.0 | 4.9 | 4.9 | 4.8 | 4.8 | 4.7 | 4.7 | 4.6 | 4.6 | 4.5 |
20 | 4.5 | 4.4 | 4.3 | 4.3 | 4.3 | 4.2 | 4.2 | 4.2 | 4.2 | 4.2 |
21 | 4.1 | 4.1 | 4.1 | 4.1 | 4.1 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 |
22 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 |
23 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 | 4.0 |
24 | 4.0 | 4.1 | 4.1 | 4.1 | 4.1 | 4.1 | 4.2 | 4.2 | 4.2 | 4.2 |
25 | 4.3 | 4.3 | 4.3 | 4.4 | 4.4 | 4.5 | 4.5 | 4.5 | 4.6 | 4.6 |
26 | 4.7 | 4.7 | 4.8 | 4.8 | 4.9 | 5.0 | 5.0 | 5.0 | 5.1 | 5.2 |
27 | 5.3 | 5.3 | 5.4 | 5.5 | 5.6 | 5.6 | 5.7 | 5.7 | 5.9 | 6.0 |
28 | 6.1 | 6.2 | 6.3 | 6.4 | 6.6 | 6.7 | 6.9 | 7.0 | 7.2 | 7.3 |
Table 2.
Values of Müller curve for incubation period expressed in days of incubation at specified mean daily air temperatures
The percentage is calculated according to the pattern by Sisakovic [87], where the temperature of 8oC is taken as the lower threshold of the parasite development. The percentages are added up and the incubation is over once the sum reaches 100%. Compared to the previous one, this method has certain advantages as it starts from a lower temperature threshold of development of 8oC. The pattern comprises the following elements:
I = duration of the incubation period in %
Z = sum of effective temperatures (t-8) per days
t = mean daily temperature in 0C
60 = sum of temperatures (t-8) at the end of the incubation
The incubation period is over once the value I reaches 100%.
Under the optimal conditions for the development of the pathogen (23-240 C), the daily incubation is achieved with 25% and the incubation period lasts for 4 days.
The timing of treatments according to this method is similar to the one applied in the previous method, towards the very end of the incubation or once 50% of the incubation period has elapsed, depending on the possibility for administering the treatment.
5.1.5.3. The method according to Mrezanin and Lipickaja – Method 3
The third method, Mrezanin and Lipickaja, is based on the sum of effective temperatures that amounts to 610C. According to these authors, forecast of the occurrence and development of the pathogen, as well as duration of the incubation period, starts from 7.90C (80C).
The sum of effective temperatures for individual mid-day temperatures is determined according to the formula
I = duration of the incubation in days
Z = sum of the effective temperatures (t-8)
8 = minimum temperatures for growth and development of the mycelia
t = mean daily temperature
t-8 = effective temperature that affects the development of the mycelia
The basis is reduction of mid-day temperatures by 8. If the mid-day temperature is 15.3 (15.3 – 8 = 7.3), the effective temperature is 7.3. Once the sum of effective temperatures reaches 61, the incubation period is over.
The timing of spray applications is determined in a similar fashion as in the previous methods, towards the end of the incubation 40-500C or upon expiration of one-half of the incubation period (30-350C), if treatment cannot be completed in a single day. The advantage of this method lies in the simplicity of the calculations. It may be applied in cases of considerable temperature fluctuations, which are frequent during primary infections.
All of the described methods for determining the duration of the incubation period and timing of treatment are satisfactory and may be applied in practice.
Air humidity also impacts the duration of the incubation. If the air is saturated with moisture at the temperature of 140C, the incubation lasts for 6 days. At the same temperature, if the humidity is 80 and 90%, the incubation lasts for 10 days, whereas at the humidity <60%, Josifovic [88] according to Schad, the mycelium in the tissue develops very slowly. This is an indication of another factor that needs to be taken into account when calculating the duration of the incubation.
The duration of the incubation may also depend on the variety of the host plant, which according to Josifovic [88] may cause the incubation to be longer or shorter by 1-2 days.
As stated above, the incubation method forecasts the application of fungicides for the purposes of protecting pine seedlings from the pathogen
6. Results
The Table 3. presents the results of intensity of infection by
By means of a multiple comparison procedure [85], two homogenous groups were identified with statistically significant differences at 99%.
As stated above, the incubation method forecasts the application of fungicides for the purposes of protecting pine seedlings from the pathogen
No | Conc. (%) | Infection of (%) | |||
1. | Blue bordo | 0.5% | 1.61 a | 90.87 | 99.83 |
2. | Captan WP 50 | 0.3% | 1.58 a | 91.03 | 100.00 |
3. | Previcur 607 Sl | 0.3% | 1.53 a | 91.35 | 100.36 |
4. | Untreated | - | 17.64 b | 0.00 | 0.00 |
lsd 005 | 5.32 |
Table 3.
Biological efficacy on
The level of consumption of fungicides is the result of spreading pathogen in forest production. However, often the use of pesticides in crop production are excessive and inadequate, and the costs arise because of this is unnecessary. The most important negative consequence of excessive use of pesticides are their environmental aspect, which is reflected in an increased content of residues in food and human health.
Forecasts of harmful organisms and its contribution to the rational use of pesticides are even more important. Forecast of harmful organisms is a complex process, the quality of the work requires continuous implementation of all necessary procedures. A very important role during this process belongs to the monitoring of meteorological conditions in the crop or plantation, necessary for the emergence and growth of harmful organisms. The rapid technological advances in this field of meteorology has enabled the introduction of more modern and easier monitoring devices for required meteorological elements.
In order to make an accurate determination of the incubation period according to the described methods, we followed mean daily temperatures [°C] and relative air humidity [%] in the period 1st August 2010 through 31st March 2011, as presented in Picture 1, in which the following cases may be distinguished: mean daily temperature above 12°C and relative humidity above 60%; mean daily temperature below 12°C and relative humidity above 60%; mean daily temperature above 12°C and relative humidity below 60%; mean daily temperature below 12°C and relative humidity below 60%
The most favourable conditions for the duration of the incubation are those presented under item 1 in Figure 1, i.e. the conditions with mean daily temperature above 12°C and relative humidity above 60%.

Figure 1.
Mean daily temperature and relative humidity in the period 01 August 2010 through 31 March 2011
Figure 2 presents the number of consecutive days which meet both conditions and have mean daily temperatures above 12°C as well as relative humidity above 60%, and the number of consecutive days which only meet the condition to have mean daily temperatures above 12°C. The period during which the conditions were observed was 1st August 2010 through 31st March 2011. Picture 2 shows that the most favourable conditions lasted over the first 60 days from the beginning of measuring for observation of the set conditions.
Figure 3 presents the number of days required for achieving the duration of the incubation period – METHOD 1. For example, by observing the 17th number in the group of days we may see that the duration of the incubation period I = 60 (the blue column) while the required number of days is 11 (dark red column). In the beginning of measuring, up to the 14th group of days, average duration of the incubation period I is approximately 55 (blue columns) while the number of required days is about 4 (dark red columns).

Figure 2.
The number of consecutive days that provide the conditions for the formation of infection

Figure 3.
Duration of the incubation period I=SUM (t-8) and number of days
Figure 4 presents the days required for achieving the duration of the incubation period I given in percentages [%] - Method 1. It may be clearly seen that there is one case in which the incubation is completed (I = 100%), which is the 17th measuring (number of the group of days) where the duration of the incubation period I = 100%, (dark red column) while the required number of days is 11 (blue column).

Figure 4.
Duration of the incubation period I=SUM (t-8)/60*100 in [%] and needed number of days
Figure 5 shows the number of days until the end of the incubation for the period 1st August 2010 through 28th August 2010 (the most favourable conditions for achieving the incubation period), Method 2. It is clear that the average value of the number of days until the end of the incubation is 10 days.

Figure 5.
Number of days until the end of incubation, C=A/B-B
Softvrer for data calculation for Method1 and Method 2 is written in MATLAB. Thanks to this program it was possible to do the calculation for the measured data and Method 1 and Method 2, and the results were used in Microsoft Excel for graphical display of their comparative analysis.
A comparison of Method 1 and Method 2 leads to conclusion that Method 1 is “more accurate” with the average forecast of the period of duration of the incubation about 4 days (green line on Figure 6.), while in Method 2 this period is about 10 days (blu line on Figure 6). The relative air humidity for all measurements was taken to be equal to or above 60.

Figure 6.
Comparsion of Method 1 and Method 2
7. Conclusion
Species from the genus
Forecast of harmful organisms is a complex process, the quality of the work requires continuous and thorough implementation of all necessary procedures. A very important role during this process belongs to the monitoring of meteorological conditions in the crop or plantation, necessary for the emergence and growth of harmful organisms. The rapid technological advances in this field of meteorology has enabled the introduction of more modern and easier monitoring devices required meteorological elements.
In order to use pesticides to rationalize and optimize, the proposed prognostic models were predict the development of this disease. In this way the forecasting models allow producers the timely and successful intervention in order to prevent damage of the causal disease.
Preventive as weel as cultural and chemical controls have been developed to minimase damage.
Acknowledgement
The study was carried out within the Project TP 31070: “The development of technological methods in forestry in order to attain optimal forest cover“, financed by the Ministry of Education and Science of the Republic of Serbia.
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