scholarly journals Soybean: sources from the VIR collection of genetic resources

2020 ◽  
Vol 181 (1) ◽  
pp. 48-52
Author(s):  
A. Y. Nekrasov
Keyword(s):  
Agricultural Production ◽  
Animal Husbandry ◽  
Field Studies ◽  
High Yield ◽  
Animal Origin ◽  
Soybean Seeds ◽  
Agricultural Crop ◽  
Nodule Bacteria ◽  
Breeding Programs ◽  
Leguminous Crops

Soybean is an extremely valuable crop due to its unique biochemical composition, which underpins multifunctional utilization of this crop and high profitability of its industrial and agricultural production. Soybean seeds accumulate up to 45% of high-quality vegetable protein, which is close in composition to the protein of animal origin. Soybean is also of great importance as an oil-producing crop, accumulating up to 28% of oil in its seeds. It is widely used in animal husbandry for the production of maize-soybean silage and haylage. It can also be used as a green manure crop to enrich the soil with nitrogen at the expense of nodule bacteria. High demand and the price make it a highly profitable agricultural crop. It is clear from the above-mentioned advantages that soybean is of great interest to breeders. The Kuban Experiment station of VIR conducts field studies of new soybean cultivars using the practices worked out for leguminous crops at VIR. Three years of research have resulted in identification of promising cultivars, sources and donors of various valuable traits. This article is based on the data obtained from the study of the soybean collection from 2014 to 2016. Accessions k-11385, k-11479, and i-623931 were distinguished for their high yield. The following accessions stood out for their seed productivity per plant: k-1475, k-11472, k-11535, k-11466, k-11478, k-11577, k-11467, and k-11469. The size of seeds was the best in accessions k-11489, k-11491, k-11533, k-11529, k-11537, i-623952, i-623967, i-623980, i-623958, and i-623987. Two accessions appeared noticeable for the height of lower pod attachment: i-623960 and k-11494. All selected accessions can be used in breeding programs as sources of valuable traits.

scholarly journals ASSESSMENT OF DEGRADED PASTURES OF CARBONATE CHESTNUT SOILS OF THE DRY STEPPE OF KAZAKHSTAN

REPORTS ◽  
2021 ◽  
Vol 2 (336) ◽  
pp. 76-86
Author(s):  
N. A. Abdirakhymov ◽  
S. Kaldybaev ◽  
А. S. Seilkhan ◽  
L. M. Mambetova ◽  
D. R. Kulmukhanova
Keyword(s):  
Agricultural Production ◽  
Animal Husbandry ◽  
Field Studies ◽  
Chestnut Soils ◽  
Gis Technologies ◽  
Dry Steppe ◽  
Detailed Assessment ◽  
Effective Use ◽  
Degree Of Degradation ◽  
Degraded Pastures

The article examines the degraded pastures of carbonate chestnut soils of the dry steppe of Kazakhstan and gives their detailed assessment. Physical (soil), biological (plant) indicators and geoinformation monitoring of dry steppe pastures based on satellite data of medium and low resolution are presented. Based on the results of GIS technologies and field studies, a cartographic model of the degree of degradation of dry steppe pastures is presented. The article also indicates the possibilities of scientifically grounded and developed measures for the practical solution of the most difficult problems of conservation and rational use of natural forage resources of pasture territories, which will contribute to the strengthening and expansion of agricultural production in general. The introduction of research results into production is an irreplaceable basis for the effective use of pastures, their restoration and improvement in the development of animal husbandry in the country.

scholarly journals Identification of the Optimum Environments for the High Yield and Quality Traits of Lentil Genotypes Evaluated in Multi-Location Trials

2021 ◽  
Vol 13 (15) ◽  
pp. 8247
Author(s):  
Dimitrios N. Vlachostergios ◽  
Christos Noulas ◽  
Anastasia Kargiotidou ◽  
Dimitrios Baxevanos ◽  
Evangelia Tigka ◽  
...  
Keyword(s):  
Crude Protein ◽  
Agronomic Traits ◽  
High Yield ◽  
Breeding Programs ◽  
Growing Seasons ◽  
Yield And Quality ◽  
Food And Feed ◽  
Superior Genotypes ◽  
Selection Of ◽  
The Ideal

Lentil is a versatile and profitable pulse crop with high nutritional food and feed values. The objectives of the study were to determine suitable locations for high yield and quality in terms of production and/or breeding, and to identify promising genotypes. For this reason, five lentil genotypes were evaluated in a multi-location network consisting of ten diverse sites for two consecutive growing seasons, for seed yield (SY), other agronomic traits, crude protein (CP), cooking time (CT) and crude protein yield (CPY). A significant diversification and specialization of the locations was identified with regards to SY, CP, CT and CPY. Different locations showed optimal values for each trait. Locations E4 and E3, followed by E10, were “ideal” for SY; locations E1, E3 and E7 were ideal for high CP; and the “ideal” locations for CT were E3 and E5, followed by E2. Therefore, the scope of the cultivation determined the optimum locations for lentil cultivation. The GGE-biplot analysis revealed different discriminating abilities and representativeness among the locations for the identification of the most productive and stable genotypes. Location E3 (Orestiada, Region of Thrace) was recognized as being optimal for lentil breeding, as it was the “ideal” or close to “ideal” for the selection of superior genotypes for SY, CP, CT and CPY. Adaptable genotypes (cv. Dimitra, Samos) showed a high SY along with excellent values for CP, CT and CPY, and are suggested either for cultivation in many regions or to be exploited in breeding programs.

Responding to the increasing global demand for animal products: implications for the livelihoods of livestock producers in developing countries

2004 ◽  
Vol 33 ◽  
pp. 1-35 ◽  
Author(s):  
D. Thomas ◽  
D. Rangnekar
Keyword(s):  
Developing Countries ◽  
Agricultural Production ◽  
Agricultural Land ◽  
Livestock Production ◽  
Animal Origin ◽  
Forage Crops ◽  
Animal Products ◽  
Food Of Animal Origin ◽  
Global Demand

Livestock production currently accounts for some 40% of the gross value of world agricultural production, and its share is rising (FAO, 2002). Livestock production is the largest user of agricultural land; directly through grazing of pastures and indirectly through the production of forage crops and other feeds. Over the next 20 years, there will be a massive increase in demand for food of animal origin in developing countries, and this increase will be greater than for either the major cereals or roots and tubers (IFPRI, 1995; Delgado et al., 1999).

scholarly journals Comparison of rhizosphere soil microbial diversity of different introduced alfalfa varieties

2020 ◽  
Author(s):  
Chunhui Ma ◽  
Jiangjiao Qi ◽  
Xue Yu ◽  
Lihe Su ◽  
Tingting He ◽  
...  
Keyword(s):  
Community Structure ◽  
Fungal Community ◽  
High Throughput Sequencing ◽  
Bacterial Species ◽  
Chemical Properties ◽  
Animal Husbandry ◽  
Desert Soil ◽  
High Yield ◽  
Soil Microbial Diversity ◽  
Fungal Community Structure

Abstract Alfalfa (Medicago sativa L.) is an important forage legume in farming and animal husbandry systems. In this study, MiSeq high-throughput sequencing was applied to assess the relationship between bacterial and fungal community structures and alfalfa growth characteristics and soil physical and chemical properties induced by different cultivars alfalfa (Victoria, Kangsai, Aohan) in the grey desert soil. The results showed that the diversity of bacterial and fungal in Victoria was higher, and the bacterial diversity was significantly lower for alfalfa with Aohan than for the others, and the fungal diversity was lower for alfalfa with Kangsai than for the others. Heatmap showed that total nitrogen, fresh weight, pH and organic have significantly affect fungal community structure, whereas pH and organic carbon also significant effects on bacterial community structure. LefSe analysis showed that the growth adaptability of introduced alfalfa is mainly related to fungal and bacterial species, and the beneficial microorganisms with significant differences and relative high abundance are significantly enriched in Victoria. Pathogens with high relative abundance are mainly concentrated in Aohan alfalfa soil. Based on our findings, Victoria is the high-yield alfalfa suitable for planting in gray desert soil, while planting Kangsai and Aohan alfalfa needs probiotic for adjuvant.

scholarly journals Adaptability of prospective spring barley cultivars bred in Federal Agricultural Research Center of the North-East

2021 ◽  
Vol 36 ◽  
pp. 01013
Author(s):  
Irina N. Shchennikova ◽  
Olga N. Shupletsova ◽  
Irina Yu. Zaytseva ◽  
Larissa P. Kokina ◽  
Rimma I. Vyatkina
Keyword(s):  
Agricultural Research ◽  
Spring Barley ◽  
Culture Method ◽  
Field Studies ◽  
Tube Formation ◽  
Yield Potential ◽  
High Yield ◽  
Barley Cultivars ◽  
North East ◽  
Yield Capacity

Based on the statistical assessment of long-term field studies, in competitive variety tests, barley cultivars were identified adaptive to the conditions of the region, promising for transfer to the State variety test. As a result of the studies, a promising breeding material was created. The efficiency of using various methods of creating a new initial material, in particular, the cell culture method, is shown. A statistically significant correlation was established between the value of the hydrothermal coefficient (GTK) in the period “leaf tube formation - heading” and the yield capacity of a cultivar (r = 0.520). High variability (V = 24.4%) in the duration of the inter-stage period “leaf tube formation - heading” was revealed in the cultivars of competitive variety testing. Cultivars 94-13 and 38-15 are distinguished by a high yield potential (up to 6.4… 6.9 t/ha) and the duration of inter-stage periods, at which the main stages of organogenesis occur at the most favorable combination of heat and moisture for the potential development of plant features and properties. Cultivars 207-15, 38-15, and regenerant 550-08, characterized by high annual average yield capacity (5.9…5.7 tons/ha) and adaptability, are promising for transfer to the Russian Federation State variety test.

scholarly journals Worth of Artificial Intelligence in the Epoch of Modern Livestock Farming: A Review

2021 ◽  
Author(s):  
Bhavna Aharwal ◽  
Biswajit Roy ◽  
Somesh Meshram ◽  
Aayush Yadav
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Body Condition Score ◽  
Compliance Rate ◽  
Animal Husbandry ◽  
Dairy Farms ◽  
Individual Performance ◽  
Animal Origin ◽  
Livestock Farming ◽  
Measuring Device

Artificial intelligence (AI) is a human intelligence in machine encountered daily and impacts our lives. It is expected that the use of such technology in the livestock industry will automate the livestock processes and easy to manage. Biometric identification plays a key role in artificial intelligence which shows the individual identity, helps in the process of insurance and claim leakages, continue monitoring of farm animal is essential can be done with new technologies. Infra red temperature measurement camera is the newly added technology with sensor system in (AI). It is a temperature measuring device in the form of electromagnetic waves and the infrared radiation intensity. AI system consists of agent, sensor, actuators and effectors which are connected to cloud. It helps in the detection of estrus, animal diseases, body condition score and various physiological parameters using video surveillance data collection method. Artificial neural network is a branch of artificial intelligence (AI) which is based on a collection of connected units or nodes called artificial neurons and stored in a central database system. Sustainable economic future of dairy farms and to achieve 100% compliance rate. Modern dairy farms uses robotic system to deliver vaccines, machine milking and measurement of feed as per individual performance of the animal. AI analyzes the animal origin food quality traceability method from farm to fork. AI helps in the complete mechanized animal husbandry right from the birth of animal to production and food product. The future of AI in animal sector is not predictable, but advantages and daily increasing demand of AI over other sector will ensure future in animal sector as well.

scholarly journals DIGITALIZATION OF AGRICULTURE IN THE CONTEXT OF INCREASING COMPETITIVENESS OF NATIONAL AGROINDUSTRIAL COMPLEX

2019 ◽  
pp. 56-63
Author(s):  
Aigul Aldungarovna Aitpaeva
Keyword(s):  
Food Security ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
System Development ◽  
Import Substitution ◽  
Animal Husbandry ◽  
Industrial Complex ◽  
Self Sufficiency ◽  
Study Results ◽  
Country Formation

The article focuses on the importance of digitization of agriculture for rising the competitiveness of the domestic agro-industrial complex (AIC). In order to obtain an objective picture of APC nowadays, there have been analyzed the supplies of the staples in the Russian Federation and revealed the problems with producing milk, beef, fruit and vegetables of sheltered ground. It is stated that today Russia is actively implementing import substitution strategies in the sectors of the national economy including the agricultural sector. The main purpose of functioning of the national AIC has been determined as ensuring the parameters of food security for the population of Russia. There are considered the burning issues on achieving food self-sufficiency, the solution of which lies in increasing the competitiveness of the national AIC. The emphasis is placed on the need to transfer agricultural production to the ecological and economic principles of management and the rational distribution of using all types of resources. It has been recommended to assess the soil-climatic and economic potential of the territory in order to identify the priorities of food self-sufficiency for basic types of food in all regions of the country. Formation of the organizational and economic mechanism for creating competitive advantages of AIC helps to develop agricultural production on the innovative basis and to ensure the long-lasting food security at the federal level. The factors increasing AIC competitiveness are: economic soil fertility, usable agricultural areas, optimization of the structure of sown areas, system development of fodder production and animal husbandry, digitization of agriculture, etc. There have been analyzed the problems of insufficient digital prevalence in agriculture; the role of digitalization in achieving the parameters of food security is substantiated. The study results can be used to improve the mechanism of ensuring food security for the population of Russia.

scholarly journals The study of collection durum winter wheat samples according to grain quality in the Rostov region

2021 ◽  
Vol 1 (2) ◽  
pp. 62-68
Author(s):  
A. S. Kameneva ◽  
E. V. Ionova ◽  
D. M. Marchenko ◽  
N. P. Ilichkina ◽  
O. A. Nekrasova
Keyword(s):  
Durum Wheat ◽  
Grain Quality ◽  
Kernel Hardness ◽  
Carotenoid Pigments ◽  
Agricultural Crop ◽  
Breeding Programs ◽  
Protein Percentage ◽  
Rostov Region ◽  
Gluten Content ◽  
Large Kernel

The success of any agricultural crop breeding, including winter durum wheat primarily depends on the initial material at the breeder’s disposal, its value, and the degree of study. The purpose of the current study was to evaluate collection samples of winter durum wheat according to quality indicators and to select the best ones for use in breeding programs. In the Rostov region there were studied 159 winter durum wheat samples of different ecological and geographical origin according to grain quality (protein percentage, gluten content, amount of carotenoid pigments, kernel hardness, nature weight). The winter durum wheat samples had a high protein percentage and belonged to the 1-st quality class. According to gluten content in grain there were identified 17 (10.7%) samples. The following samples had the maximum values of trait ‘SDS-sedimentation’: ‘588/15’ (Russia) with 50 ml; ‘SAHINBEY’ (Turkey), ‘SARI BUGDAY 2’ (Turkey), ‘543/15’ (Russia) with 49 ml; ‘ANKARA 98’ (Turkey) with 48 ml. The following 43 winter durum wheat samples (more than 85%) had large kernel hardness in the trial: ‘663/17’, ‘1121/12’, ‘Novinka 4’, ‘Alena’ (Russia), ‘C1252’ (Turkey), ‘SN TURK MI 82-83 90 / GUTROS-2’, ‘DF 28.82.84 / DAB-18’, ‘P 1290493 // HUI // AV79’ (Mexico), ‘K-61869’ (Moldova). Over the years of study, a large amount of carotenoid pigments was identified in the following samples: ‘Novinka 4’ with 705 μg /%, ‘535/17’ with 689 μg /%, ‘543/15’ with 664 μg /% (Russia), ‘OSU-3880001 / 4AOS / SNIP / 3 / MEDIUM / KIF // SAPI’ with 704 μg /% (Mexico), ‘Winter Gold’ with 697 μg /% (Germany). According to the complex of qualitative indicators, there were identified 5 winter durum wheat samples, which are recommended to be included in the breeding programs of the Rostov region.

scholarly journals The Current State of the Agricultural Sector in the Context of Food Security in Ukraine

2020 ◽  
Vol 22 (1) ◽  
pp. 112-118
Author(s):  
Karina Utenkova ◽  
Keyword(s):  
Sustainable Development ◽  
Food Security ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Food Products ◽  
Economic Security ◽  
Animal Origin ◽  
Global Food Security ◽  
Security Index ◽  
Global Food

Introduction. The article is devoted to the problems of agricultural development as a basis for ensuring food security in Ukraine. Food security is one of the important components of economic security, which creates a basis for further progress and development of the state. Achieving food security is one of the Global Goals for Sustainable Development by 2030, set by the UN to member countries at the Summit on Sustainable Development. The purpose of the article is to reveal the problems and prospects for the development of the agricultural sector in the context of ensuring food security in Ukraine. Results. It has been determined that the contribution of agricultural production to the GDP in Ukraine is quite significant. According to the results of 2018, 89% of agricultural enterprises have received a profit. The consumption of main types of food products by the population of Ukraine is less than the scientifically substantiated norms, namely: the actual consumption of meat is 64% of the norm; milk and dairy products – 52%; eggs – 94.8%; fish – 59%; fruits, berries and grapes – 53%. At the same time, there is a steady increase in the share of agricultural products in the structure of exports (in 2019 – 44.2%). According to the Global Food Security Index, Ukraine does not have the best positions and yields not only to all European countries, but also to those countries to which it exports food. Conclusions. Ukraine occupies the 76th out of 112 positions in the 2019 Global Food Security Index. Problems that pose potential threats to food security are acute, particularly, the lack of balance in the diet of Ukrainians. Due to the products of animal origin, the caloric value of the diet is provided only by 28% at the optimal level of 55%. The share of the population’s expenditures on food products is unacceptably high: more than half of the total aggregate expenditures, which is higher than the similar indicators of the EU countries by 3-5 times. The increase in agricultural production should take place in compliance with environmental norms and international food quality standards.

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