Optimum Plant Density Research Articles

Maximizing food equivalent unit yield for forage maize production without notably compromising dry matter yield and feed quality in a semi-arid region

Food equivalent unit (FEU) is a vector used to measure the value of food based on its calorie and protein content and their digestibility. However, the optimal planting density and N application rate for maximizing the FEU yield (FEUY) of forage maize (Zea mays L.) is still poorly understood in the fast-growing animal husbandry regions of the Chinese Loess Plateau. Here, a 2-year consecutive field experiment was conducted to explore the impacts of planting density, N application rate, and their interactions on growth, dry matter yield (DMY), forage quality, and FEUY of a dominant forage maize cultivar. Planting density significantly affected the stem diameter, LAI, DMY, and dry matter allocation (DMA) of the leaf. Initially, increasing the N rate increased the stem diameter, LAI, FEUY, and DMY of forage maize and then decreased. The stem diameter, LAI, FEUY and above-ground DMY peaked under 180 kg∙ha−1 N in both years. Moreover, N application significantly increased the crude protein content of the whole plant and decreased the acid detergent fiber content. The surface fittings of the 2-year study indicated that 110,000 plants∙ha−1 (plant density) and 171.2 kg∙ha−1 (N rate) obtained the greatest DMY (19.0 t∙ha−1). The grade index (a comprehensive evaluation index for forage quality) peaked at 15.4 MJ∙d−1 under 94,000 plants ha−1 and 270 kg∙ha−1. The 110,000 plants∙ha−1 plant density and 181.5 kg∙ha−1 N rate jointly maximized the FEUY (11,125.4 FEU∙ha−1), maintaining 99.9 % of the maximum DMY and 97.5 % of the maximum grade index. Thus, 110,000 plants∙ha−1 plant density and 181.5 kg∙ha−1 N rate are recommended for high-productivity forage maize production, without notably compromising dry matter yield and feed quality. This research is conducive to advancing the coordinated development of forage crop cultivation and herbivorous livestock farming in semi-arid rainfed areas.

Effect of Plant Density on Growth and Bioactive Compounds in Salvia miltiorrhiza

Danshen (Salvia miltiorrhiza) is an herbaceous plant widely used in the pharmaceutical industry. However, the majority of medicinal plants utilized in the US are imported, posing challenges such as fluctuations in bioactive compound concentrations and insufficient supply to meet demand. Determining the optimal plant density is a key management decision for danshen production. This study aimed to investigate the effects of different plant densities on the growth and bioactive compound content of danshen cultivated in Mississippi. A field experiment was conducted to investigate the effects of different plant densities on individual plant growth, photosynthesis, and the content of bioactive components in danshen in 2020 and 2021. Six plant densities were designed: 30 × 20 cm (between row spacing × within row spacing), 30 × 30 cm, 30 × 40 cm, 45 × 20 cm, 45 × 30 cm, or 45 × 40 cm. A plant density of 45 × 40 cm resulted in danshen plants exhibiting the highest Plant Growth Index (PGI), SPAD, root number, shoot number, shoot fresh and dry weight, maximum root diameter, maximum root length, net photosynthesis, intracellular CO2 concentration, tanshinone I, and cryptotanshinone, regardless of year. Plants spaced at 45 × 30 cm had similar root fresh weight, root dry weight, and tanshinone IIA and salvianolic acid B levels compared with plants grown at the 45 × 40 cm spacing, and both were significantly higher than other densities.

Effect of Different Spacing and Nutrient Management on Growth and Yield of Maize: A Review

Optimal plant density influenced by crop geometric/planting techniques factors are crucial in achieving high yield to maize. In addition, nutrient management further enhances productivity. Increasing plant density can lead to higher grain yield per unit area, but it also reduces the yield per individual plant as the competition between plant to plant will increase. From different research it indicates that plant density lower than the optimum number result in higher productivity rate per plant but lower yield per area unit. After reviewing various research articles, it was concluded that the maximum growth and yield attributes of maize obtained with spacing 60: 20-30 cm. Highest nitrogen application up to 160 kg N per ha-1 by split application at sowing, 25 DAS and tasselling is most reliable to increase the maize productivity. The combined application of 70 kg ha-1 phosphorus and 60 kg ha-1 potassium is the most suitable to obtain the maximum growth and yield attributes such as plant height, number of leaves per plant, cob length, cobs per plant, dry matter accumulation and crop growth rate. Effective nutrient management, aligned with proper planting density, played a pivotal role in maximizing maize productivity, meeting the demands of a growing population, and contributing to sustainable agriculture.

Optimum Plant Density Improved Cotton (Gossypium hirsutum L.) Root Production Capacity and Photosynthesis for High Cotton Yield under Plastic Film Mulching

Optimum Plant Density Improved Cotton (Gossypium hirsutum L.) Root Production Capacity and Photosynthesis for High Cotton Yield under Plastic Film Mulching

Variation and interrelationships in the growth, yield, and lodging of oat under different planting densities.

Oat is a dual-purpose cereal used for grain and forage. The demand of oat has been increasing as the understanding of the nutritional, ecological, and economic values of oat increased. However, the frequent lodging during the growing period severely affect the high yielding potential and the quality of the grain and forage of oat. Therefore, we used the lodging-resistant variety LENA and the lodging-sensitive variety QY2 as materials, implementing four different planting densities: 2.25×106 plants/ha (D1), 4.5×106 plants/ha (D2), 6.75×106 plants/ha (D3), and 9×106 plants/ha (D4). At the appropriate growth and development stages, we assessed agronomic traits, mechanical characteristics, biochemical compositions, yield and its components. The study investigated the impact of planting density on the growth, lodging, and yield of oat, as well as their interrelationships. Additionally, we identified the optimal planting density to establish a robust crop structure. The research aims to contribute to the high-yield and high-quality cultivation of oat. We observed that with increasing planting density, plant height, grass and grain yields of both varieties first increased and then decreased; root fresh weight, stem diameter, stem wall thickness, stem puncture strength, breaking strength, compressive strength, lignin and crude fiber contents, and yield components decreased; whereas the lodging rate and lodging coefficient increased. Planting density affects lodging by regulating plant height, height of center of gravity, stem wall thickness, internode length, and root fresh weight of oat. Additionally, it can impact stem mechanical strength by modulating the synthesis of lignin and crude fiber, which in turn affecting lodging resistance. Plant height, height of center of gravity, stem wall thickness, internode length, root fresh weight, breaking strength, compressive strength, lignin and crude fiber content, single-plant weight, grain yield and 1,000-grain weight can serve as important indicators for evaluating oat stem lodging resistance. We also noted that planting density affected grain yield both directly and indirectly (by affecting lodging); high density increased lodging rate and decreased grain yield, mainly by reducing 1,000-grain weight. Nonetheless, there was no significant relationship between lodging and grass yield. As appropriate planting density can increase the yield while maintaining good lodging resistance, in this study, 4.5×106 plants/ha (D2) was found to be the best planting density for oat in terms of lodging resistance and grass and grain yield. These findings can be used as a reference for oat planting.

Yields, growth and water use under chemical topping in relations to row configuration and plant density in drip-irrigated cotton

BackgroundWater deficit is an important problem in agricultural production in arid regions. With the advent of wholly mechanized technology for cotton planting in Xinjiang, it is important to determine which planting mode could achieve high yield, fiber quality and water use efficiency (WUE). This study aimed to explore if chemical topping affected cotton yield, quality and water use in relation to row configuration and plant densities.ResultsExperiments were carried out in Xinjiang China, in 2020 and 2021 with two topping method, manual topping and chemical topping, two plant densities, low and high, and two row configurations, i.e., 76 cm equal rows and 10+66 cm narrow-wide rows, which were commonly applied in matching harvest machine. Chemical topping increased seed cotton yield, but did not affect cotton fiber quality comparing to traditional manual topping. Under equal row spacing, the WUE in higher density was 62.4% higher than in the lower one. However, under narrow-wide row spacing, the WUE in lower density was 53.3% higher than in higher one (farmers’ practice). For machine-harvest cotton in Xinjiang, the optimal row configuration and plant density for chemical topping was narrow-wide rows with 15 plants m-2 or equal rows with 18 plants m-2.ConclusionThe plant density recommended in narrow-wide rows was less than farmers’ practice and the density in equal rows was moderate with local practice. Our results provide new knowledge on optimizing agronomic managements of machine-harvested cotton for both high yield and water efficient.

Study on the Optimal Planting Density for the Cultivation of Peanut in Tokachi Region

Study on the Optimal Planting Density for the Cultivation of Peanut in Tokachi Region

Optimum planting density of Amorpha fruticosa promotes the recovery of understory vegetation and the arbuscular mycorrhizal fungal community in plantations in arid coal mining areas

AbstractEstablishment of plantations may be a useful means of vegetation reconstruction in coal mining areas, especially in fragile environments. However, the influence of shrub planting on the relationship between understory vegetation and soil microorganisms remains poorly understood. Here, we describe a field experiment in which the relationships between understory vegetation and soil microorganisms under different planting densities of Amorpha fruticosa L. (A. fruticosa) were investigated. Compared with areas allowed to recover naturally, shrub planting changed the community and increased the biomass of understory vegetation and soil microbes, especially of arbuscular mycorrhizal fungi (AMF). Planting density was also a key factor that influenced understory vegetation and the soil AMF community and biomass. The maximum diversity of understory vegetation and the AMF community occurred at an intermediate density of introduced shrubs, which was considered to be the optimum density of A. fruticosa. The major soil nutrient cycles that influence understory vegetation and the AMF community were also investigated. An optimum density of introduced shrubs was important in the ecological reconstruction of vegetation in the coal mining area. There may also have been an optimum relationship between the understory vegetation and soil microorganisms especially with AMF in the experimental conditions.

Optimal Planting Density for Double Cropping Sesame (Sesamum indicum L.) After Harvesting Onion and Garlic

Optimal Planting Density for Double Cropping Sesame (Sesamum indicum L.) After Harvesting Onion and Garlic

Determination of Optimal Plant Density of Adapted Maize Varieties in the Low and Mid-altitude Ecologies of Tanzania

Purpose: The objective of this study is to validate the commonly recommended plant density in the target zone to maximize maize production and productivity. The commonly recommended plant density is 44,444 plants/ha for decades. However, there is no recent study done to validate this practice if it optimizes productivity under current climate and soil fertility variability. A blanket recommendation has been used for decades without validation for optimum productivity that farmer can realize. 
 Methodology: The factorial experiment was used with the total of 18 treatment combinations in a Randomized Complete Block Design (RCBD) with three replications according to Gomez, A and Gomez, K (1983). The open pollinated varieties (OPV) commonly grown by small scale farmers were planted in three different plant densities of 44,444, 53,333 and 66,666 plants per hector with inter and intra row spacings of 0.75mx0.3m, 0.75mx0.25m and 0.75mx0.2m respectively. Field management was done as usual following the recommended agronomic practices.
 Findings: Analysis of variance (ANOVA) was done using GENSTAT (9th edition) statistical programme software and presented in a tabular form. The results indicated no significant difference in all parameters analysed except for 50% anthesis days (AD) and 50% Silking days (SD) both at 0.1% levels. The overall site mean for grain yield was found to be 6.43t/ha, 7.31t/ha and 6.11t/ha for the plant density of 44,444plants/ha, 53,333plants/ha and 66,666plants/ha respectively. Therefore, based on these findings the optimum plant density was found to be 53,333/ha unlike the commonly used plant density of 44,444 plants/ha.
 Unique Contribution to Theory, Practice and Policy: This study contributes to existing experience and practice commonly recommended by extension officers in many parts of the country without performing a site-specific study to determine the optimum spacing for particular environment. This, study also open up an avenue for further research to validate various research technologies. Plant population, in addition to plant height, maturity class, and row spacings, affects the geometry of plant spacing and leaf distribution. All these factors may affect light and CO2 penetration in the canopy, as well as water use rate (Tharp, B and Kells, J, 2001)

Influence of Environment by Spacing and Phosphorus Fertilizer Interaction on the Productivity of Faba Bean (Vicia faba L.) in the Major Nitisol Production Areas in Ethiopia

Though Faba bean is an important pulse crop grown in the highlands of Ethiopia, its productivity is far below its potential due to several constraints, such as optimum plant density and fertilizer rates meant for major faba bean growing areas. Hence, a field experiment was conducted to determine the appropriate seeding and fertilizer rates for faba bean production at Holeta, Jima, Kulumsa, and Sinana areas during the 2019 to 2021 main cropping seasons. Factorial combinations of phosphorus fertilizer (23, 46, and 69 kg P2O5/ha), intra-row spacing (7, 10, and 13 cm), and inter-row spacing (30, 40, and 50 cm) were laid out in a randomized complete block design with three replications. Due to the non-homogeneity of variances across locations, a separate combined ANOVA was done for Kulumsa and Jimma that were found homogeneous. Similarly, a separate combined ANOVA over years was done for Holeta. On the other hand, Sinana's two-year data lacked homogeneity across years and with either of the other testing sites. Hence, results of each year presented. Based on the ANOVA results, the lowest fertilizer rates of 23 kg P2O5/ha together with 10 cm intra-row spacing and 40 cm inter-row spacing, were found to be optimum for the study areas around Kulumsa and Jimma while, the highest fertilizer rate of 69 kg P2O5/ha together with 10 cm intra-row spacing and 40 cm inter-row spacing, were found to be economically optimal for faba bean production in West Shewa acidic nitisols. On the other hand, to get reliable results, the experiment should be repeated at least once in one growing season at Sinan testing sites.

Material Characterization: How Light Interception Affects Cotton Crops’ Mechanical Properties

This paper is based on the research made on effect of light based on the structure of its canopy, characterized by its substantial form and direction of its stalks and leaves. There are several morphological, physiological in nature, and biochemical reactions brought on by this light interception. The parameters considered are light interception, Light absorption, light efficiency, accumulation of biomass, growth time, and biomass distribution. In cotton farming, optimal light utilization is accomplished via management strategies that guarantee optimal plant densities, which impact canopy formation by altering canopy characteristics. The focus of this research is on the effects of plant distribution and spatial arrangement on intercepting view in cotton fields. Usually, cotton plants are grown in rows to reduce shadowing. Reducing shade and improving light collection are the goals of adjusting canopy components. The study shows that how sunlight act as a greatest measure of leaf area for effective growth.

Effects of plant density on alfalfa (Medicago sativa L.) seed yield in western Heilongjiang areas.

Alfalfa (Medicago sativa L.) is known as the "king of forages". The aim of the current study is to determine the optimum planting density as the key cultivation technique for high yield of alfalfa seed. Alfalfa variety (Longmu 801) was planted in experimental fields from 2014 to 2017. In the planting density test, the row spacing was 65, 80, and 95 cm, and the plant spacing was 30, 45, 60, 75, and 90 cm. The seed yield and yield components in the row spacing and plant spacing tests were measured. On the basis of 3 years average of the experimental data, the highest seed yield of 225.49 kg ha-1 was obtained with row spacing vs plant spacing of 65 and 60 cm, respectively. Correlation analysis showed a significant positive correlation between the racemes per stem, pods per raceme, pods per stem, seeds per pod, and the seed yield. These results suggested that Longmu 801 should be cultivated with 65 cm row spacing and 60 cm plant spacing to maximize seed yields in western Heilongjiang areas.

Is interannual grain yield decline of intermediate wheatgrass influenced by management and climate in the Upper Midwest?

Perennial crops have the potential to provide sustainable food production while promoting multiple ecosystem services. Intermediate wheatgrass (IWG) is a perennial grass that is currently being domesticated as a perennial grain crop. However, one major hurdle limiting producer adoption is its interannual grain yield decline. While such a phenomenon has an evolutionary basis and has been reported in other perennial grain crops, there are currently conflicting reports about the extent of this phenomenon in IWG. To address this challenge, we have assembled a unique dataset integrating 13 field experiments conducted by the same research team in Minnesota, USA where IWG yield trials were established over 3–4 years, covering 24 location-years representing 9 treatments and up to 3424 plot-level yield observations. Our goals were to 1) determine the extent and magnitude of IWG yield decline and 2) examine the relative contribution of crop management and climate in mitigating IWG yield decline if it exists. Our results indicate that IWG grain yield decline starts during the second production year in Minnesota and continues annually at an average rate of 200–225 kg ha−1 yr−1, driven by a reduction in harvest index which declined at a rate of 2% yr−1. This decline occurred regardless of crop management practices, but some approaches, particularly optimal nitrogen application, plant density and cultivar choice increased grain yield potential. IWG productivity was also influenced by environmental gradients, with the strongest effect attributable to rising atmospheric drought or vapor pressure deficit (VPD), which influenced yield decline locally. Overall, the analysis indicated that optimal management, in concert with breeding towards more productive and climate-resilient varieties have the potential to reduce IWG decline in Minnesota.

Yield response of maize hybrids with different ear flex to nitrogen rate and plant density

AbstractMaize (Zea mays L.) hybrids are frequently labeled as fixed or flex hybrid ear types by seed companies based on pre‐commercial trials or field observations during commercialization. However, the underlying physiological cause and the associated management with each hybrid ear type remains a question for growers. Experiments were conducted at multiple locations across 3 years to determine the yield and yield component response to combinations of plant density (4, 6, 8, 10, and 12 plant m−2) and nitrogen (N) rate (0, 78, 159, 235, and 314 kg N ha−1) for three fixed and four flex hybrid ear types. Optimal plant density (OPD) to reach maximum yield was 1.7 plant m−2 greater for fixed hybrid ear type compared to the flex hybrid ear type for N rates greater than 78 kg N ha−1. Flex hybrid ear type achieved similar yield at lower OPD through increased kernel weight (KW) without reduced kernels per square meter. Potential kernel number at silk appearance and established kernels 15 days after silk appearance were similar between hybrid ear types, indicating that the flex component was driven by KW. Fixed hybrid ear type displayed a lower threshold value of total aboveground biomass per plant at physiological maturity to set kernels compared to a flex hybrid ear type. Selection of a flex hybrid ear type provides opportunity for reduced planting density with similar yield potential and N management practices.

Optimal Planting Density and Nutrient Application of Soybeans: A Case Study in Northeastern China

In the context of the Chinese government’s policy guidance, there is black soil protection and ecological environment protection. The purpose of this paper is to solve the problem that the soil ecology of the black soil in Northeast China is changing year by year, and it is necessary to explore the sowing and fertilization strategy under the new situation; most Chinese growers rely excessively on their personal experience in the process of soybean sowing and fertilization. In this study, we used “Heihe 43” soybeans and used regression experimental design methods to analyze the effects of planting density, nitrogen, phosphorus, and potassium fertilizer application on soybean yield and to determine the optimal planting density and fertilizer ratios. The study reveals that the optimal soybean planting density in Northeast China is 45.37 × 104 plants/ha, with nitrogen at 98.4 kg/ha, phosphorus at 218.96 kg/ha, and potash at 47.62 kg/ha. Under these conditions, soybean yields can reach 3816.67 kg/ha. This study can provide a theoretical method for decision-making to obtain the optimal planting density and fertilizer ratio for different regions of the farming system.

Improvement of agrotechnical conditions of growing paulownia in the Forest Steppe of Ukraine

Purpose. The purpose of the study was to improve the agrotechnical conditions for growing paulownia and its artificially bred variety Clone in vitro 112 in the Forest Steppe zone of Ukraine.
 Methods. Field, laboratory, visual, measuring and weighing, mathematical and statistical.
 Results. The article presents the results of research on the improvement of agrotechnical growing conditions and establishment of indicators of growth and development of paulownia plants in the Central Forest Steppe of Ukraine. The methods of planting, the optimal width between the rows, and the options for caring for the plantation of plants have been substantiated. It was established that in the first year of vegetation, the root system of paulownia plants is intensively formed. In order to obtain high-quality wood, after the first year of vegetation, it is necessary to make a technical cut at a height of 2–3 cm from the surface of the ground and remove young newly formed shoots (tillers). The highest trunk height of Clone in vitro 112 was formed in the first and second year of vegetation and reached 5–6 m. The optimal planting density is 625 plants per hectare. Conclusions. It was established that paulownia seedlings in vitro should undergo adaptation to the temperature conditions of the growing area for two to three weeks before planting in open ground.

Study of the embryonic period of female crayfish egg development in different species

Freshwater crayfish farming is a promising area of production in the food market. This aquaculture industry is currently gaining popularity around the world, but given the high consumer demand, it requires modernisation. The efficiency of aquaculture production is based on the introduction of innovative methods into production processes, which are based on knowledge of biological characteristics, including reproductive capacity and the embryonic period of caviar development. The study aims to assess the reproductive quality of females and determine the incubation period of caviar, its quantity, weight, and survival rate. The study presents the results of research on the reproductive qualities and embryonic period of crayfish eggs of four species (Cherax quadricarinatus, Procambarus clarkii, Procambarus fallax forma virginalis, Cherax destructor) kept in separate closed water supply tanks at an optimal planting density of 4 individuals per 0.45 m2 . Studies have shown that the colour range of caviar and the duration of the incubation period for its maturation varies among different crayfish species. Thus, the first stage of incubation was the shortest and ranged from 2.80 (Florida crayfish) to 3.55 (destructor crayfish) days, while the second stage lasted the longest – from 13.17 to 15.80 days for Australian and broad-toed crayfish, respectively. Based on the analysis of the physiological characteristics of the female crayfish micropopulation, they were divided into quality categories, considering the following indicators: female weight, egg weight, total number of eggs, and number of eggs per 1 g of female. Females of the Australian red snapper of the excellent category was the best among all species in terms of live weight (63.0±0.67 g), egg weight (5.0±0.05 g) and total number of eggs (376.8±16.34 pcs.), the lowest similar indicators were in the marble species (16.8±0.15 g, 1.6±0.03 g, 124.5±2.66 pcs.), respectively. In terms of the number of eggs per 1 g of female weight, Florida crayfish prevailed (7.8±0.19). Instead, the destructor crayfish had intermediate results in these characteristics. The study results can be used in the economic activities of enterprises producing aquatic organisms

Rice Yields at Different Dosages of Kieserite and Planting Systems

Rice stands as an important staple crop in Indonesia and Asia, prompting endeavors to enhance its production. One such technology, aimed at intensifying rice cultivation, involves optimizing plant density utilizing the "jajar legowo" system. This research was conducted within community rice fields located in Pasar Ambacang, Kuranji District, Padang City, West Sumatra, Indonesia, spanning from February 2020 to June 2020. The primary objective of this study was to assess the potential of the jajar legowo planting system, in conjunction with varying dosages of kieserite, to increase lowland rice yields. The study employed a two-factor experiment in a completely randomized design. The first factor is the jajar legowo types: A (25 cm x 12.5 cm x 50 cm) and B (25 cm x 25 cm x 50 cm). The second factor involved different kieserite dosages, comprising three levels (0, 150, 300 kg.ha-1). Each treatment combination was replicated four times. Our investigation unveiled that rice panicle length reached 27.20 cm under the influence of jajar legowo type A with a kieserite dosage of 150 kg.ha-1. Conversely, with the application of jajar legowo type B alongside a kieserite dose of 300 kg.ha-1, the rice panicle length increased to 27.88 cm. The highest yield was obtained with jajar legowo type A at a dose of 300 kg.ha-1, producing 5.35 tons.ha-1. It is recommended to implement the jajar legowo type A cropping pattern with the addition of 150 kg.ha-1 of kieserite, or jajar legowo type B with the addition of 300 kg.ha-1 of kieserite.

Productivity of soybean varieties of different maturity groups depending on plant density under drip irrigation in the South of Ukraine

Soybeans are a leading leguminous crop for universal use, therefore, measures aimed at increasing their productivity, including the reasonable selection of varietal resources and optimisation of planting density, will make a significant contribution to the creation of sustainable food production systems. The research aims to determine the effect of plant density on the productivity of soybean varieties of different maturity groups. Field laboratory and statistical (correlation and regression analysis) methods were used in the study. The field experiments were conducted during 2018-2020 on dark chestnut soil of a private agricultural enterprise of the agricultural company “Syvash” in Novotroitsk district of Kherson region. Its maximum values for the cultivation of early ripening varieties were ensured by a plant density of 700 thousand/ha, medium early varieties – 500-700 thousand/ha, and medium ripening varieties – 500 thousand/ha. A strong and very strong correlation between yield and soybean yield index was established. Increasing the length of the growing season contributed to the growth of yields. In the group of early maturing soybean varieties, the Monarch variety was determined to be the most productive. There was no significant difference in the level of yield of varieties within other maturity groups. For each variety, the optimum planting density was determined, at which the maximum grain yield was formed. Longer vegetation contributed to a greater accumulation of protein and fat in the grain. In terms of protein content, the difference between varieties of the same maturity group did not exceed 0.2%, but varieties differed in terms of conditional protein yield per hectare of crops. There was no difference in the fat content of mid-season soybean varieties. Among the early-ripening varieties, the Monarch variety was distinguished by higher oil content, and among the mediumearly varieties – by Aratta. The maximum conditional fat yield per hectare of crops was also determined for these varieties. A very strong and strong correlation was found between soybean grain yield and protein and fat content, respectively. A very strong correlation was also found between the protein and fat content of the grain. To ensure sustainable production and efficient use of soybeans and soybean by-products, it is advisable to take the results of the study into account in production conditions