Naukovi gorizonti最新文献

{"title":"Amaranth yield depending on the sowing rate","authors":"Mariia Tyrus, Volodymyr Lykhochvor, Ivan Dudar, Svitlana Stefaniuk, Oleh Andrushko","doi":"10.48077/scihor8.2023.33","DOIUrl":"https://doi.org/10.48077/scihor8.2023.33","url":null,"abstract":"The main value of amaranth lies in its ability to accumulate a large amount of protein in its seeds and leaves. With a seed protein content of 15-18%, amaranth surpasses wheat (12-14%), rice (7-10%), maize (9-10%), and other grain crops. The purpose of this study was to establish the optimal seed sowing rates for amaranth under the conditions of the Western Ukrainian Forest-Steppe zone. The study employed general scientific methods such as analysis, synthesis, experimentation, description, observation, and comparison, as well as field methods like phenological observations and record-keeping, along with statistical and correlation-regression analyses for data processing. The sowing rates of the variety Kharkivskyi 1 were investigated under conditions of sufficient moisture on dark-grey forest soil. It was found that the field germination varied with different sowing rates. At a sowing rate of 0.2 million seeds/ha, the field uniformity was 70%, but it decreased to 60% at a sowing rate of 1.2 million seeds/ha, representing a 10% decrease. Higher sowing rates resulted in greater plant density. In the seedling stage, there were 14 plants per 0.2 million seeds/ha sowing rate, while at 1.2 million seeds/ha, the number of plants increased to 72/m². Plant survival during the vegetation period sharply decreased with increased planting density, from 86% at a sowing rate of 0.2 million seeds/ha to 45% at a sowing rate of 1.2 million seeds/ha. Therefore, before harvesting, the plant density was adjusted to 12-32 plants/m². The best combination of the main elements of the structure was found to be 21 plants/m² and 26 plants/m², with a grain weight per plant of 20.4g and 16.1g, respectively. The highest grain yield of amaranth variety Kharkivskyi 1 was obtained at sowing rates of 0.4 million seeds/ha and 0.6 million seeds/ha, resulting in 4.28 t/ha and 4.20 t/ha, respectively. Any increase or decrease in sowing rates led to a decrease in the yield level. The results of this study can be used for further establishment and improvement of the main elements of amaranth cultivation technology by both scientific institutions and agricultural farms","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134918928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Creation of source material by attracting different varieties of common winter wheat in breeding for adaptability, productivity, and grain quality","authors":"V. Moskalets, S. Kotsyuba, Zh. M. Novak, Vitalii Kryzhanivskiy, O. Yaremenko","doi":"10.48077/scihor7.2023.66","DOIUrl":"https://doi.org/10.48077/scihor7.2023.66","url":null,"abstract":"The relevance of the subject matter lies in the constant pursuit to improve and improve varieties of common winter wheat by using various genetic resources and breeding methods to achieve better adaptability, higher productivity, and superior grain quality. The purpose of the study was to expand the genetic diversity of common winter wheat, which combines high productivity and adaptability for further breeding in the context of food security. The research uses generally accepted methods and their modifications, which ensured high objectivity of the results obtained. Phenology, morphological studies, and evaluation of breeding material based on economically valuable characteristics were carried out according to the methodology for conducting an expert examination of plant varieties. It was found that the involvement of the Ferrugineum 1239 sample before crossing allows forming a hybrid material with increased resistance against adverse abiotic environmental factors, which was observed on crops of breeding numbers 0284/18/1, 0135/18, 0209/18/1, etc. It was proved that consideration of the nature of inheritance and preservation of features of ear productivity elements at the level of the best parent components in combination with high quantitative features of the number of grains from the main ear, the weight of grains from the main ear, the weight of 1,000 grains in hybrid populations of the first generation, the above combinations of crosses Triticum aestivum var. erythrospermum with Triticum aestivum var. barbarossa, Triticum aestivum var. erythrospermum with Triticum aestivum var. ferrugineum can be valuable in the selection of common winter wheat. The practical value of the study lies in the fact that the findings expand information about the use of erythrospermum and lutescens and other varieties of common wheat in breeding for the productivity and quality of common winter wheat: Triticum aestivum var. barbarossa and Triticum aestivum var. ferrugineum. As a result of the research, the best samples (F4 ) were transferred to the Nosivka Breeding and Research Station for further breeding work","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44103897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Economic and biological value of medicinal and fodder herbs for feed production","authors":"M. Shtakal, M. Tkachenko, L. Kolomiiets, L.M. Holyk, Oleksii Ustymenko","doi":"10.48077/scihor7.2023.45","DOIUrl":"https://doi.org/10.48077/scihor7.2023.45","url":null,"abstract":"The relevance of the research lies in the need to involve in the feed production of grass species containing biologically active substances for use as natural animal growth stimulants. The purpose of the study was to experimentally establish the economic and biological value of medicinal and fodder grass species, their technological suitability for growing in clean crops, obtaining raw materials and forming phyto-mixtures from them for use as organic feed additives. In the course of conducting research, the following methods were used: field, laboratory, analytical, and statistical. The economic and biological value for the growth of the following types of medicinal herbs in the feed production was determined: hyssop, fennel, white horehound, Moldavian dragonhead, coriander, yarrow, purple coneflower, dandelion, milk thistle, anise hyssop, St. John’s wort, sneezeweed, sweet wormwood. It was established that annuals in the year of sowing, and perennial species in the second or fourth years of use provided a dry mass of grasses – 1.7-5.0 t/ha and seeds – 0.3-1.8 t/ha. These types of herbs contain biologically active substances (polysaccharides, essential oils, flavonoids, organic acids, mainly vitamins, and trace elements) that have a positive effect on the animal body. The technological suitability for harvesting raw materials and forming phyto-mixtures of the following species is also proved: milk thistle, Moldavian dragonhead, coriander, hyssop, fennel, purple coneflower, anise hyssop, white horehound, and yarrow. As a result of the research, a database was created on the selection of medicinal herbs, their technological suitability for cultivation, and optimal harvesting times for harvesting raw materials with subsequent use in feed production. The inclusion of medicinal and feed species in feeding rations can ensure the production of organic livestock products that meet the requirements of the European Green Deal strategy","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44622676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rice yield prediction using Bayesian analysis on rainfed lands in the Sumbing-Sindoro Toposequence, Indonesia","authors":"A. Aziz, Komariah Ariyanto, D. Ariyanto, Sumani Ariyanto","doi":"10.48077/scihor7.2023.149","DOIUrl":"https://doi.org/10.48077/scihor7.2023.149","url":null,"abstract":"Since rainfed rice fields typically lack nutrients, frequently experience drought, and require more fund to support farming operations, the production results become erratic and unpredictable. This research aims to construct location-specific rice yield predictions in the rainfed rice fields among the Sumbing-Sindoro Toposequence, Central Java, using a Bayesian method. This study is a survey with an exploratory descriptive methodology based on data from both field and laboratory research. Prediction model analysis using the Bayesian Neural Network (BNN) method on 12geographical units, sampling spots were selected with intention. The following variables were measured: soil (pH level, Organic-C, Total-N, Available-P, Available-K, soil types, elevation, slope) and climate (rainfall, evapotranspiration). According to the statistical analysis used, the BNN model’s performance has the highest accuracy, with an RMSE value of 0.448 t/ha, which compares to the MLR and SR models, indicating the lowest error deviation. To obtain the ideal parameter sampling design, parameter distribution is directly and simultaneously optimised using an optimisation technique based on Pareto optimality. The top 7 data sets (slope, available-P, evapotranspiration, soil type, rainfall, organic-C, and pH) yielded the highest accuracy based on the test results for the three-parameter groups. The coefficient of determination has the highest value, 0.855, while the RMSE test for the model using the top 7 data set has the lowest error value at 0.354 t/ha and 18.71%, respectively. By developing location-specific rice yield predictions using a Bayesian method, farmers and agricultural practitioners can benefit from more accurate and reliable estimates of crop productivity","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46866947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling Salvia sclarea L. yields depending on plants spacing, mineral fertilisers and depth of ploughing in the irrigated conditions of cold Steppe zone","authors":"Victor Chaban, P. Lykhovyd, S. Lavrenko","doi":"10.48077/scihor7.2023.95","DOIUrl":"https://doi.org/10.48077/scihor7.2023.95","url":null,"abstract":"Ukraine has favourable natural conditions for the cultivation of medicinal and aromatic plants, but there is a lack of scientific knowledge and practical guidelines for their cultivation. Clary sage is a valuable and prospective crop for the South of Ukraine and deserves special attention. This study is aimed to investigate theoretical mechanisms of clary sage productivity formation on the irrigated lands of the Southern Ukraine. The experimental basis for the study is the data on crop inflorescence yields, collected during field investigation of clary sage cultivation technology in the dripirrigated lands of the Kherson Oblast during 2013-2018. Theoretical study on the yield formation depending on the cultivation technology elements was performed through rank correlation and heteroscedasticity analyses, while the mathematical model for the crop yield prediction was developed using multiple regression. As a result, the null hypothesis about the influence of the factors studied on crop yields was denied according to the Breusch-Pagan and Glejser tests, although the results of the analysis of variances revealed no significant effect of the depth of the plough and the spacing of the crop on the yields. Rank correlation analysis revealed that the highest influence on crop yield is attributed to phosphorus fertilisers. In addition, information on the influence of each agrotechnological factor on the yield of clary sage was determined, namely: 1 kg of nitrogen fertilisers applied per ha reduces the yield by 6.34 kg; 1 kg of phosphorus fertilisers applied per ha increases the yield by 156.44 kg; 1 extra cm of row spacing reduces the yield by 3.33 kg; 1 cm deeper ploughing improves the yield by 56.56 kg. The model has moderate fitting quality (correlation coefficient 0.5885) and reasonably good yield prediction accuracy (mean absolute percentage error 24.12%). The study has no analogues in Ukraine or in the world and provides novel theoretical and practical insights on the formation of clary sage productivity in the cold Steppe zone","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49281548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"System of pre-sowing seed inoculation","authors":"M. Shelest, A. Kalnaguz, Oksana Datsko, E. Zakharchenko, V. Zubko","doi":"10.48077/scihor7.2023.140","DOIUrl":"https://doi.org/10.48077/scihor7.2023.140","url":null,"abstract":"Pre-sowing inoculation of agricultural crops increases the parameters that affect the yield and quality of the crop, which has been proven by many Ukrainian and foreign researchers. The purpose of the study was to set the operating parameters of the injectors at different pressures, which allowed calculating the rate of discharge of the working solution during sowing to create a system of pre-sowing inoculation, which will simplify the process of seed treatment and increase the energy efficiency of farms. Methods of system and structural analysis, mathematical statistics, abstraction, and mathematical modelling based on the Euler-Lagrange equation, and using the foundations of theoretical mechanics, physics and machine theory were used for experimental research. The planning of the experiment met the current standards, and computer graphics systems and Microsoft Excel software suite were used for statistical data processing. Based on the conducted studies, the amount of liquid that one nozzle can pass in 1 min at pressures of 300, 400, and 500 kPA was determined. It was found that the lowest result was shown by a nozzle with a diameter of 0.1 mm with a pressure of 300 kPA – 10.493 ml/min, and the highest – a nozzle with a diameter of 0.8 mm and a pressure of 500 kPA – 146.379 ml/min. At the same time, injectors with a diameter of 0.4-0.6 mm used almost the same amount of liquid at pressures of 300 and 500 kPA. The amount of liquid that can be poured per 1 ha using a six-row seeding machine with a working width of 4.2 m per sowing unit of corn was calculated. The obtained data can be used to improve any systems that use similar nozzles, such as calculating the rate of discharge of agricultural sprayers or systems that allow cooling pig farms during the summer period","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41481593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Provenance tests of Pinus sylvestris L.: Estimation at the age of the half-rotation period","authors":"Y. Fuchylo, Yuriy Hayda, I. Ivaniuk, O. Mazhula, T. Ivaniuk","doi":"10.48077/scihor7.2023.34","DOIUrl":"https://doi.org/10.48077/scihor7.2023.34","url":null,"abstract":"The study of geographical crops is relevant because they are one of the reliable tools for identifying possible scenarios for the response of forest woody plant species to climate change. The purpose of the study of geographical crops of Scots pine established in 1981 in the Kyiv Oblast was to compare the growth and productivity of provenances in different age periods, determine the optimal time for early and final diagnosis of their ranking, and model the relationship between the growth and survivability indicators of provenances with climatic and other environmental variables at the age of 21, 32, and 37 years. The ANOVA method established a statistically significant influence of the geographical origin of seeds on the growth of geographical crops. At the age of 37, the capacity for survival varies from 25% (Lviv provenance) to 36.2% (Chernihiv provenance). At this age, populations from Lviv, Kyiv, and Cherkasy oblasts are characterised by the highest height. According to the intensity of radial growth, these same provenances are distinguished, as well as variants from Volyn and Luhansk. In terms of the stock of stem wood, the best is provenance from the Chernihiv Oblast. Stabilisation of the ranks of provenances in terms of survivability, growth, and productivity is observed only after 21 years. It is assumed that the most accurate assessment of the growth and condition of Scots pine provenances can be obtained at an age that corresponds to a third or a half of the age of the main felling. The trend of clinal variability in the survival of provenances and the average diameter of their trunks along the geographical (latitudinal) and ecological (temperature) gradients is revealed. The study results can be used to update the current forest-seed zoning of Ukraine","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43683398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mastitis prevention and control: Integration of microbiological and management approaches","authors":"M. Shevchenko, A. Andriichuk, V. Goncharenko, O. Dovhal","doi":"10.48077/scihor7.2023.19","DOIUrl":"https://doi.org/10.48077/scihor7.2023.19","url":null,"abstract":"Mastitis is a common cause of reduced dairy productivity in cows and poor milk quality. This paper considers a set of approaches based on microbiological studies and risk analysis aimed at reducing the number of cows with mastitis and improving milk quality. The study is aimed at examining microbial agents isolated from the milk of sick cows and means of ensuring udder health, and identifying the main dangers that arise due to errors in the implementation of mastitis prevention measures. The study included microbiological tests of milk, wipes and udder dipping using chromogenic media. For a qualitative risk assessment, a survey of consulting managers and veterinarians was conducted. The paper presents the results of microbiological tests of 115 samples of milk, 45 reusable napkins, and 111 samples of udder dips using conventional and chromogenic media. The most common microorganisms in milk samples were Streptococcus spp. 34.4% (S. agalactiae and S. disgalactiae), Staphylococcus aureus 31.1%, and Escherichia coli 28.9%. Staphylococcus aureus and Streptococcus spp. it is associated with infectious mastitis, and Escherichia coli – with sanitary mastitis. To reduce the incidence of mastitis, it is important to apply targeted measures aimed at various categories of pathogens. Udder wipes were contaminated with pathogens associated with the development of mastitis. The use of laundry detergent containing bactericidal components is crucial to minimise contamination of reusable udder wipes. Among the dips under study, 40.6% of the samples had a complete bactericidal effect, and 9.9% had no bactericidal effect. 3 factors of high risk of environmental mastitis and 6 factors of sanitary mastitis were identified. The results of the studies were tested on two dairy farms. Correction of high-risk risk factors led to an increase in the quality of milk in terms of somatic cells and the number of bacteria. The results obtained can be useful for improving the system of prevention and optimisation of mastitis treatment on dairy farms","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47565491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Satisfying the consumer demand for agricultural products: Possibilities and its prediction","authors":"V. Amrahov, Farrukh Rahimli, Narmin Mirzazadeh, Gunay Ibrahimova, Hajar Valizadeh","doi":"10.48077/scihor7.2023.160","DOIUrl":"https://doi.org/10.48077/scihor7.2023.160","url":null,"abstract":"In the modern world, consumer preferences and demand for agricultural products are constantly changing. Meeting these demands efficiently and effectively is crucial for the sustainability and profitability of the agricultural sector. That is why it remains important to study the demand for agricultural products and find methods to predict it. The research aims to investigate the main factors that influence the demand for agricultural products. The main methods used in this study were analysis, abstraction, forecasting and modelling. The article examines the level of demand satisfaction, the current situation and opportunities depending on the scale of the market, the volume of goods and services, based on the fact that the satisfaction of consumer demand is one of the current problems in the world. The relationship between the development of agriculture and meeting the demand for food products and solving the problem of starvation was emphasized. Factors affecting consumer demand in agriculture – consumption costs, number of consumers, gross agricultural product, consumer price index, consumer incomes were analysed. On the basis of econometric analysis, the dependence between the optimization of consumer demand and the indicators related to it was determined. Using multi-factor linear correlation and multi-factor linear regression models, were described the level of actual and regression model consumption costs, as well as the forecast for the next years. The study contributes new knowledge to assess the level of demand for agricultural products","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45631189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Agrobiological assessment of green bean varieties by adaptability, productivity, and nitrogen fixation","authors":"V. Yatsenko, S.P. Poltoretskiy, N. Yatsenko, N. Poltoretska, O. Mazur","doi":"10.48077/scihor7.2023.79","DOIUrl":"https://doi.org/10.48077/scihor7.2023.79","url":null,"abstract":"Beans should be studied as an ecological object that can be used to replenish the reserves of nitrogen compounds in the soil and increase its biological activity. The goal was to conduct scientifically based zoning of varieties and assess their adaptive and productive potential in terms of productivity and nitrogen fixation. The study was conducted in the training and production department of the Uman National University of Horticulture during 2020-2022, using six varieties common in production. Standard methods of genetic and statistical analysis were used to investigate the parameters of adaptive variability. The study of phenological changes showed that, depending on the variety, it takes from 54 to 67 days before the onset of technical ripeness, and the variation of this trait is 8%. The shortest period before harvesting green beans was characterised by the varieties Zorenka and Casablanca. The variation of the growing season before the onset of biological ripeness was in the range of 90-108 days (CV=6%). According to the indicator of attachment of the lower bean, suitable varieties for mechanised harvesting were identified – Zorenka and Casablanca. Analysing the parameters of adaptability of the “bean weight” and “yield” indicators, a stable variety was found – Fruidor and highly productive varieties of intensive type Paloma, Laura, Zorenka, and Casablanca. The most productive variety was Zorenkya – 12.7 t/ha, and the least productive – Fruidor – 1.9 t/ha. In terms of seed yield, the varieties Purpurova Koroleva, Zorenka, and Casablanca stood out, the yield of which was at the level of 2.22-2.89 t/ha, which is 30.8- 70.6% more than the standard. Analysing the dependence of the growth and development parameters of green bean plants, it can be seen that these traits depend more on the conditions (CVA, %) in which they were formed than on the genotypic component (CVG, %). The results obtained provide useful information on commercial and seed production, productivity and the nitrogen-fixing ability for introduction into industrial production or further breeding practice and prove that green bean varieties are suitable for both vegetable production and high-quality seeds, as well as for biologisation of production through the use of biologically fixed nitrogen","PeriodicalId":52817,"journal":{"name":"Naukovi gorizonti","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41791736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}