Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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THE EFFECT OF APPLYING THE INTELLIGENT SPREADER ON IMPROVING THE EFFICIENCY OF NITROGEN FERTILIZERS USED IN FEEDING WINTER WHEAT IN THE CONDITIONS OF REGULAR BLACK SOIL

abstract 1552001018 issue 155 pp. 243 – 253 31.01.2020 ru 0
In the experiment, we have studied the effect of the use of an intelligent spreader on increasing the efficiency of nitrogen fertilizers used to feed winter wheat in ordinary chernozem. The studies were carried out in the production conditions of land use by AO SHP Kolos in the Kochubeyevsky district. In this article, we have examined the effect of a sprayer (Amazone UG 3000 Nova) and an intelligent mineral fertilizer spreader (Amazon ZA - TS - 4200) using touch sensors to determine the NDVI development index on the efficiency of nitrogen fertilizing winter wheat. Based on the experiments, it was found that, on average, over the two years of the study, the largest increase in the yield of winter wheat grains was noted in the variant with the introduction of ammonia nitrate in the first and second fertilizers using the intelligent fertilizer spreader Amazon ZA - TS - 4200 according to the NDVI - 6.53 t / ha. The highest structural indices of winter wheat grain yield were also noted in the variant with the introduction of ammonium nitrate in the first and second fertilizers using the Amazon ZA - TS - 4200 intelligent fertilizer spreader according to the NDVI index. So, the height of plants increased by 16.3 cm, the number of productive stems per 1 m2 by 37 pcs. The number of grains in the ear - by 5 pcs., The weight of 1000 grains - 0.8 g. According to the results of the experiments, it was established that in the conditions of land use by JSC "Agricultural Enterprise" Kolos "of the Kochubeyevsky District of the Stavropol region when planning the harvest of winter wheat - 6.5 tons / ha, it is advisable to use in the first and second top dressing of ammonium nitrate with a dose of 150 kg / ha, using the Amazon ZA - TS - 4200 intelligent fertilizer spreader according to the NDVI index
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HARDWARE DESIGNED TO DETERMINE THE RELATIVE VOLTAGE DEVIATION AND COEFFICIENT OF VOLTAGE UNBALANCE AT ZERO AND NEGATIVE SEQUENCE IN AGRICULTURAL COMPANIES

abstract 1111507119 issue 111 pp. 1791 – 1818 30.09.2015 ru 77
We have designed and offered a voltage quality analyzer that allows you defining relative deviation of voltage, voltage unbalance factors at zero and negative sequence. The device differs from the existing ones with simple design and circuit solutions; it has low price and the ability to conduct a continuous monitoring of quality indicators of electric energy
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THE METHOD OF IMPROVEMENT OF GROWING BROILER CHICKENS ZOOHYGIENIC CONDITIONS

abstract 1572003002 issue 157 pp. 14 – 26 31.03.2020 ru 133
Metabolic products, water, dust and litter are released into the air and accumulated in the house when the birds are kept on the litter. The following techniques are available when caring for litter: a) cleaning, b) application of dehumidifiers, c) acceleration of decomposition by special microbiological preparations. The purpose of the experiments is to study the effect of a microbiological preparation in the litter on broiler productivity. Chickens “Cobb-500”, “Ross-308” and “Change-8” were up to 38-42 days old in special boxes. “Sunvit-K” and “Sunvit-K-forte” brought in the litter at the 21-, 28- and 38-day-old age of the bird. These biodestructors with bacteria have increased broiler productivity due to improved hygiene. The best effect was when applying to the litter “Sanvit-K” and “Sanvit-K-forte” at a dose of 20 and 10 g per square meter. м. The final weight of broilers increased by 3.8-5.3%, and EPEF is 346-348 units
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BASIC REQUIREMENTS FOR DATA ANALYSIS METHODS (ON THE EXAMPLE OF CLASSIFICATION TASKS)

abstract 1592005017 issue 159 pp. 239 – 267 29.05.2020 ru 134
There is a need to clean up the classification methods. This will increase their role in solving applied problems, in particular, in the diagnosis of materials. For this, first of all, it is necessary to develop requirements that classification methods must satisfy. The initial formulation of such requirements is the main content of this work. Mathematical classification methods are considered as part of the applied statistics methods. The natural requirements to the considered methods of data analysis and the presentation of calculation results arising from the achievements and ideas accumulated by the national probabilistic and statistical scientific school are discussed. Concrete recommendations are given on a number of issues, as well as criticism of individual errors. In particular, data analysis methods must be invariant with respect to the permissible transformations of the scales in which the data are measured, i.e. methods should be adequate in the sense of measurement theory. The basis of a specific statistical method of data analysis is always one or another probabilistic model. It should be clearly described, its premises justified - either from theoretical considerations, or experimentally. Data processing methods intended for use in real-world problems should be investigated for stability with respect to the tolerances of the initial data and model premises. The accuracy of the solutions given by the method used should be indicated. When publishing the results of statistical analysis of real data, it is necessary to indicate their accuracy (confidence intervals). As an estimate of the predictive power of the classification algorithm, it is recommended to use predictive power instead of the proportion of correct forecasts. Mathematical research methods are divided into "exploratory analysis" and "evidence-based statistics." Specific requirements for data processing methods arise in connection with their "docking" during sequential execution. The article discusses limits of applicability of probabilistic-statistical methods. Concrete statements of classification problems and typical errors when applying various methods for solving them are also considered
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INTENSITY OF GROWTH AND DEVELOPMENT OF BIG-6 TURKEY BROILERS CROSS BY USING THE PROTEIN FROM THE LARVAS OF THE LUCILIA CAESAR FLIES

abstract 1572003011 issue 157 pp. 136 – 144 31.03.2020 ru 141
One of the urgent directions of finding promising raw ingredients in the feeding of farm animals and birds is the use of larvae of flies as a source of alternative protein. In Russia, LLC «New Biotechnology» is engaged in the processing of organic waste using the larvae of the flies of the population Lucilia Caesar under a project accredited at the Skolkovo Innovation Center, which, after a global reconstruction, started its production. The use of flour from larvae of flies in feeding poultry, including turkeys, is a new direction that is becoming more widespread among leading world producers. The authors established the high efficiency of using protein-lipid concentrate (PLC) from the larvae of flies of the population Lucilia Caesar in the production of cross BIG-6 turkey meat. It is proved that the use of the studied additives in the amount of 5.0 and 7.5% in the diets of turkey-poults for fattening can increase the live weight of females and males of the experimental groups. By the end of the feeding, the excess in live weight of the females of the experimental groups relative to the control was 858 (8.67%) and 1211g (12.24%), males - 980 (6.17%) and 1362g (8.58%), respectively. The average daily gain in live weight of females of the experimental groups during the feeding period exceeded the control by 6.7 and 9.8 g, males - by 8.8 and 12.2 g, and feed costs per 1 kg of growth decreased: in females - by 0.06 and 0, 17 kg, for males - 0.09 and 0.18 kg. The protein level in the average meat sample increased in the I experimental group by 1.26, in the II experimental group - by 1.57%, and the cholesterol level decreased by 7.21 and 10.95%. The results of the study allowed us to conclude that the protein-lipid concentrate (PLC) from the larvae of flies of the Lucilia Caesar population contributes to an increase in the growth and development of turkey poultry, lower feed costs and improve the quality of meat
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PROMISING HYBRID FORMS OF ANEMONE CORONARIA

abstract 1552001010 issue 155 pp. 138 – 146 31.01.2020 ru 144
The article provides the results of hybrid forms studies and their control cultivars for several years of research. The phenological phases of Anemone coronaria experimental plants were studied during the autumn planting of tubers (October - November), biometric measurements were carried out. On average, seedlings in the control cultivars appeared after 5.6 weeks, and in hybrids – after 4.8 weeks. This period in the researched hybrid forms was shorter on 12% than in the control cultivars. The phase “from seedling emergence to flowering” was longer in the following hybrid forms: A-10-1 (for 7 days), M-3-97 (for 5 days), than in the control cultivars. The earliest flowering was observed in the M-4-98 hybrid form (March, 23), and at the latest - in the M-3-97 hybrid form (April, 4). The flower diameter in the A-10-1 hybrid form is 31.1% larger, than its control cultivar, in the G-13-133 hybrid form - 27.1% more, in the hybrid form M-3-97 - 13.6% more, and the hybrid M-4-98 - 18.8% more. The flowering time of hybrid forms is 63 days (9 weeks), and their control cultivars - 51 days (7.3 weeks). The vegetation period of the investigate plants was not exceed 174 days. Vegetation of the hybrid forms A-10-1, M-3-97, and M-4-98 lasted 32, 23, and 14 days longer than in their control cultivars
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USING NEURAL NETWORKS FOR THE PROJECT TEAM SELECTION

abstract 1531909006 issue 153 pp. 66 – 74 29.11.2019 ru 145
The study was carried out with the financial support of the RHNF as part of the research project of the RFBR 17-02-00475-OGN "Application of metaheuristic algorithms for solving direct and inverse problems of optimizing the management of spatially distributed complexes"). The article considers the issue of automated selection of specialists for the project. It is proposed to use artificial neural networks as a decisive core of the system. We have considered several solutions to the problem with a basic version based on a cascade of two neural networks
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MORPHOLOGICAL FEATURES OF POLLEN IN WHEAT VARIETIES AND TRITICALE OF LUKIANENKO AGRICULTURAL RESESRCH INSTITUTE SELECTION

abstract 1572003024 issue 157 pp. 324 – 333 31.03.2020 ru 147
The article presents the results of the study of pollen grains in different types and varieties of wheat and triticale selection by "National Grain Centre named after P.P. Lukyanenko". The varieties of winter soft wheat in the experiment were ranked by the length of the growing season, the height of plants and the level of frost resistance. In the analysis of the source material, the following characteristics were used as indicators: the shape, color, and size of pollen grains. In the course of research, no differences in shape and color were found, they differed only in size. According to the results of two years of study, it was found that the pollen of winter and spring triticale is much larger than that of various types of wheat. In ultra-ripe varieties, pollen grains are smaller (66.2 microns) than in varieties of other maturity groups. Semi-dwarf varieties (with two Rht dwarfism genes) form the largest pollen (70.1 microns).Winter wheat varieties with high frost resistance produce the smallest pollen grains
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ASSESSMENT OF FROST RESISTANCE IN WINTER BARLEY VARIETIES

abstract 1572003020 issue 157 pp. 271 – 281 31.03.2020 ru 150
The article presents the results of the research on the evaluation of frost-resistant varieties of winter barley. Frost resistance is the main criterion for winter hardiness of winter crops. To promote the area of cultivation of winter barley in colder areas, production needs high-hardy varieties. Recently, due to the warming of the climate in the Central zone of the Krasnodar region, it is almost impossible to reliably and accurately determine the winter hardiness of winter crops in natural (field) conditions. In this regard, breeders in their work, in order to identify frost-resistant forms, use the method of direct freezing of breeding and collection material. During our research, the evaluation of the test material was carried out using a modified method developed by academician V. M. Shevtsov. This method allows the most accurate and efficient determination of the critical temperature for a particular sample in a short period of time. Varieties and lines were placed in the EKSI refrigeration unit for a certain period of time. Then they were taken out, and at the end of time, the percentage of plants before and after freezing was calculated. As a result of the conducted research, we have selected highly frost-resistant forms that differ in a complex of economically valuable features and properties
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ASSESSMENT OF QUALITY OF BAKING WHEAT BREAD WITH ADDITION OF FLOUR OF SORGHUM GRAIN

abstract 1511907016 issue 151 pp. 193 – 199 30.09.2019 ru 151
The article presents organoleptic and physicochemical characteristic of baking wheat bread with 25% addition of flour of sorghum, and also wheat flour
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