Soybean Yield Research Articles

The fate and impact of Co3O4 nanoparticles in the soil environment: Observing the dose effect of nanoparticles on soybeans

The widespread presence and distribution of metal-based nanoparticles (NPs) in soil is threatening crop growth and food security. However, little is known about the fate of Co3O4 NPs in the soil-soybean system and their phytotoxicity. The study demonstrated the effects of Co3O4 NPs on soybean growth and yield in soil after 60 days and 140 days, and compared them with the phytotoxic effects of Co2+. The results showed that Co3O4 NPs (10–500 mg/kg) had no significant toxic effect on soybeans. Soil available Co content was significantly increased under 500 mg/kg Co3O4 NPs treatment. Compared with Co2+, Co3O4 NPs mainly accumulated in roots and had limited transport to the shoots, which was related to the particle size, surface charge and chemical stability of Co3O4 NPs. The significant accumulation of Co3O4 NPs in roots further led to a significant decrease in root antioxidant enzyme activity and changes in functional gene expression. Co3O4 NPs reduced soybean yield after 140 days, but interestingly, at specific doses, it increased grain nutrients (Fe content increased by 17.38% at 100 mg/kg, soluble protein and vitamin E increased by 14.34% and 16.81% at 10 mg/kg). Target hazard quotient (THQ) assessment results showed that consuming soybean seeds exposed to Co3O4 NPs (≥100 mg/kg) and Co2+ (≥10 mg/kg) would pose potential health risks. Generally, Co3O4 NPs could exist stably in the environment and had lower environmental risks than Co2+. These results help to better understand the environmental behavior and plant effect mechanisms of Co3O4 NPs in soil-plant systems.

Effect of Various Biochar Materials and Levels of Chicken Manure Fertilizer on Soil Chemical, Growth and Yield of Soybean (Glycine max L Merrill)

This study aims to determine the effect of various biochar materials and doses of chicken manure fertilizer on soil chemical properties, growth and yield of soybean. The research method used a 2 factorial Randomised Group Design. The first factor was the treatment of various biochar materials consisting of 4 levels, namely: B0 without treatment, B1 (corn cob biochar 1.5 kg/m2, B2 (jengkol bark biochar 1.5 kg/m2), B3 (rice husk biochar 1.5 kg/m2). Factor II was chicken manure (P) consisting of P0 (0 kg/m2), P1 (0.5 kg/m2), P2 (1 kg/m2 and P3 (1.5 kg/m2). The application of various biochar materials and chicken cohe fertilizer gave a real response to soil pH, organic C, total N, available P and K available. The results showed that the application of biochar to the growth and yield of soybean plants gave a significant effect on the parameters of stem diameter, number of productive branches, number of pods, dry weight of seeds/m2, seed production/ha. The application of jengkol skin biochar gave the highest effect on stem diameter (1.750 cm), number of productive branches (5.06 branches), number of pods (181.60 pods), dry weight of seeds/m2 (442.98 grams). The application of chicken manure fertilizer on the growth and yield of soybean plants gives a significant effect on stem diameter, number of productive branches, number of pods, dry weight of seeds/plot. The dose of chicken manure fertilizer 1.5 kg/m2 showed the highest effect on stem diameter (1.79 cm), number of productive branches (5.19 branches), number of pods (184.22 pods), dry weight of seeds/m2 (398.50 g). The interaction of biochar and chicken manure fertilizer did not give significant effect on all treatments. Keywords: Biomass, Biochar, Chicken Manure, Soybean

Yield stability of biofertilizer treatments to soybean in the rainy season based on the GGE biplot

Abstract Soybeans (Glycine max L.) play an essential role in meeting the nutritional needs of Indonesians. However, national soybean production cannot meet domestic needs. Increasing the planting frequency during the rainy season is an effort to increase the national soybean production. Planting soybeans in the rainy season will reduce the yield and growth of soybeans, so cultivation technology is needed to increase soybean yields in the rainy season, one of which is the use of biofertilizers and cultivars. This study aimed to analyze a suitable combination of cultivation and biofertilizer doses to increase soybean production during the rainy season. Selection of the right cultivar combination and biofertilizer dosage will increase yields. The research was conducted from 2021 to 2023 during the rainy season in Majalengka Regency, West Java Province, Indonesia. The cultivation technology that provides stable soybean yields was analyzed using a GGE biplot. The results of this research show that the appearance of soybean yields varies every year, and there is an interaction between the application of cultivation technology and the year of planting. Cultivation technologies that show a stable appearance are Anjasmoro variety + 20 kg h−1 dose biofertilizer, Dega 1 variety + 0 kg h−1 dose biofertilizer and Dega 1 variety + 10 kg h−1 dose of biofertilizer. These results can be used as a reference for farmers planting soybeans during the rainy season.

Compensation of physiological traits under simulated drought and herbivory has functional consequences for fitness in soybean (Glycine max (L.) Merrill)

Soybean (Glycine max (L.) Merrill), one of the most valuable crops in the world, faces serious challenges due to drought and insect herbivory. Although well studied independently, we lack a comprehensive understanding of interactive effects of drought × herbivory on both soybean and herbivore traits. A holistic examination of soybean morpho-physiology (above and below-ground traits including root morphology) and herbivore performance can help us understand the potential consequences of these two major stressors on soybean yield and fitness. To this end, we imposed simulated-drought and herbivory by soybean looper (SBL) (Chrysodeixis includens Walker) and assessed both host and herbivore performance. Morpho-physiological traits of soybean including shoot height, chlorophyll content, root morphology, photosynthesis, stomatal conductance, and transpiration were measured. Additionally, growth and feeding behavior of SBL were also assessed to analyze the impacts of drought × herbivory on both host and herbivore. Our results show that certain physiological traits were significantly upregulated under drought × herbivory indicating compensation. We also observed that SBL frass weight, and scale of damage was lower on simulated-drought-experienced plants and, in choice assays, SBL preferred well-watered plants. In addition to lower yields observed under simulated-drought and herbivory interaction, soybeans that experienced both drought and herbivory had the highest number of aborted pods. Our study shows that simulated drought and herbivory have synergistic negative impacts on soybean morpho-physiology and support plant vigor hypothesis. Simulated drought negatively impacted SBL performance and made them less attracted to the soybeans that experienced water stress. Ultimately, the interactive effects of these stressors have negative consequences on soybean yield and fitness. This study demonstrates the need to integrate biotic and abiotic stressors for a better understanding of interactive effects on host and herbivores to make informed decisions for breeding and pest management strategies.

Enhanced crop yields as a potential mitigator of soil organic carbon losses under elevated temperature in erosional and depositional landscape

The dynamics of agricultural soil organic carbon storage have been considerably influenced by the evolution of crop species, offering promising opportunities for restoring soil organic carbon under elevated temperatures through yield improvements. However, the intricate interplay between climate change and surface erosion processes poses challenges in understanding agricultural soil carbon dynamics in hilly landscapes. This study aimed to address these challenges by assessing the effects of climate change on soil organic carbon dynamics under the Shared Socioeconomic Pathways 245 and 585. We utilized projections from 12 distinct global climate models, covering the period from 2015 to 2100. Additionally, we investigated the potential for improving soybean yields by 100 %, 200 %, and 300 % linearly by 2100 to offset the anticipated soil organic carbon losses. Using a coupled landscape and biogeochemical model, our analysis focused on a soybean field in Nenjiang County, China. Our findings revealed a distinct soil organic carbon profile in deposition areas, characterized by relatively low levels of soil organic carbon in surface layers, attributed to carbon influx from adjacent erosion areas with typically low carbon content. We modeled decreases in soil CO2 fluxes with escalating climate change, corresponding to expected decreases in soil organic carbon levels, despite concurrent rises in soil microbial activity linked to increasing temperatures. Erosion areas emerged as particularly vulnerable zones under elevated temperatures due to their higher proportion of soil CO2 fluxes relative to soil organic carbon levels compared to deposition areas. As a soil organic carbon restoration strategy, improvements in soybean yields showed promise in mitigating soil organic carbon losses through enhanced litter inputs and the cooling effects induced by shading the soil. This study underscored the potential for achieving the dual benefits of food security and soil organic carbon restoration in the coming decades through a unified approach to enhancing soybean yields.

Soybean production in SEALBA: inoculation, co-inoculation, and starter nitrogen fertilization

The grain production area in the Brazilian agricultural region known as SEALBA, especially in Alagoas State, has seen significant growth in recent years. This study aims to contribute to sustainable regional development by evaluating the effects of inoculation, co-inoculation, and the application of starter mineral nitrogen (N), either individually or in combination, on soybean growth and yield. Eight field experiments were conducted from 2018 to 2021 in two municipalities within Alagoas, covering soybean cultivation areas ranging from the first to the fourth year. The experiments followed a randomized complete block design with four replications, employing a factorial arrangement of treatments. The first factor encompassed five levels related to inoculation technologies and N management: 1) Inoculation with Bradyrhizobium; 2) Inoculation with Bradyrhizobium combined with N basal fertilization; 3) Co-inoculation of Bradyrhizobium + Azospirillum; 4) Co-inoculation of Bradyrhizobium + Azospirillum + N fertilization at the base; and 5) Control treatment without microbiological inputs or nitrogen fertilizers. The second factor involved the evaluation of different soybean cultivars, with two materials assessed in 2018 and three cultivars in 2019, 2020, and 2021. Results demonstrated that seed inoculation with Bradyrhizobium led to increased soybean grain yield in first-year cultivation areas. However, N basal fertilization, commonly known as starter fertilization, did not result in yield improvements compared to the use of microbiological inputs alone. Soybean cultivars BRS 9383 IPRO and FTR 3191 IPRO exhibited greater responsiveness to seed inoculation with Bradyrhizobium.

Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image

Predicting on-farm soybean yield variability using texture measures on Sentinel-2 image

Genetic diversity and genome-wide association study of partial resistance to Sclerotinia stem rot in a Canadian soybean germplasm panel.

Developing genetically resistant soybean cultivars is key in controlling the destructive Sclerotinia Stem Rot (SSR) disease. Here, a GWAS study in Canadian soybeans identified potential marker-trait associations and candidate genes, paving the way for more efficient breeding methods for SSR. Sclerotinia stem rot (SSR), caused by the fungal pathogenSclerotinia sclerotiorum, is one of the most important diseases leading to significant soybean yield losses in Canada and worldwide. Developing soybean cultivars that are genetically resistant to the disease is the most inexpensive and reliable method to control the disease. However, breeding for resistance is hampered by the highly complex nature of genetic resistance to SSR in soybean. This study sought to understand the genetic basis underlying SSR resistance particularly in soybean grown in Canada. Consequently, a panel of 193 genotypes was assembled based on maturity group and genetic diversity as representative of Canadian soybean cultivars. Plants were inoculated and screened for SSR resistance in controlled environments, where variation for SSR phenotypic response was observed. The panel was also genotyped via genotyping-by-sequencing and the resulting genotypic data were imputed using BEAGLE v5 leading to a catalogue of 417K SNPs. Through genome-wide association analyses (GWAS) using FarmCPU method with threshold of FDR-adjustedp-values < 0.1, we identified significant SNPs on chromosomes 2 and 9 with allele effects of 16.1 and 14.3, respectively. Further analysis identified three potential candidate genes linked to SSR disease resistance within a 100Kb window surrounding each of the peak SNPs. Our results will be important in developing molecular markers that can speed up the breeding for SSR resistance in Canadian grown soybean.

Long-Term Effect of Crop Succession Systems on Soil Chemical and Physical Attributes and Soybean Yield.

Most soybean producers in the Cerrado biome use the direct seeding system, making it essential to cultivate cash or cover crops in the off-season, to promote soil protection, as well as increase organic matter, which is directly related to improvements in the chemical and physical characteristics of these soils. In this sense, this work was conducted in Jataí, state of Goias, Brazil, to evaluate the physical-chemical attributes of the soil and the performance of soybeans cultivated in different crop succession systems cultivated for 6 years in the region of Jataí, GO. The experimental design was randomized blocks with four plots and four replications; the crops that followed soybeans were arranged as follows: T1-corn (Zea mays); T2-pearl millet (Pennisetum glaucum); T3-Urochloa ruziziensis; and T4-corn + Urochloa ruziziensis. Soybean yield components and grain yield were evaluated in two harvests (2020/2021 and 2021/2022). Deformed and undisturbed soil samples were collected in 2022 to assess soil fertility and for physical analysis. The data were subjected to analysis of variance (F test) and the means were compared using the Tukey test at 5% probability. The soybean-millet succession system stood out for the chemical and physical attributes of the soil: calcium, magnesium, base saturation, hydrogen + aluminum, and total porosity. The crop succession system did not affect yield for the two years analyzed, but the accumulated grain yields were higher in the crop succession soybean/corn intercropped. The results highlight the importance of using cover crops in improving the physical and chemical qualities of the soil in the long term. However, in the Cerrado, there is a predominance of the soybean/corn succession system motivated by financial issues to the detriment of the qualitative aspects of the soil, in which the introduction of Urochloa ruziziensis in intercropping with corn would improve the chemical attributes of the soil and have a long-term impact on the accumulated grain production.

Soybean crop yield estimation using artificial intelligence techniques

It is common to observe conventional methods for estimating soybean crop yields, making the process slow and susceptible to human error. Therefore, the objective was to develop a model based on deep learning to estimate soybean yield using digital images obtained through a smartphone. To do this, the ability of the proposed model to correctly classify pods that have different numbers of grains, count the number of pods and grains, and then estimate the soybean crop yield was analyzed. As part of the study, two types of image acquisition were performed for the same plant. Image acquisition 1 (IA1) included capturing the images of the entire plant, pods, leaves, and branches. Image acquisition 2 (IA2) included capturing the images of the pods removed from the plant and deposited in a white container. In both acquisition methods, two soybean cultivars, TMG 7063 Ipro and TMG 7363 RR, were used. In total, combining samples from both cultivars, 495 images were captured, with each image corresponding to a sample (plant) obtained through methods AI1 and AI2. With these images, the total number of pods in the entire dataset was 46,385 pods. For the training and validation of the model, the data was divided into subsets of training, validation, and testing, representing, respectively, 80, 10, and 10% of the total dataset. In general, when using the data from IA2, the model presented errors of 7.50 and 5.32% for pods and grains, respectively. These values are considerably lower than when the model used the IA1 data, where it presented errors of 34.69 and 35.25% for pod and grain counts, respectively. Therefore, the data used from IA2 provide better results to the model.

Значение бактериальных удобрений в формировании урожая зерновых бобовых культур

Abstract. One of the directions of modern agricultural production is the biologization of agriculture, which provides for a wider use of biological preparations and bacterial fertilizers. The use of bacterial fertilizers restores the fertility of the soil, contributes to increasing the yield and quality of agricultural products. The purpose of the study is to establish the effectiveness of the use of bacterial fertilizers in the cultivation of grain legumes. Methods. The research was carried out for three years, observations and records were carried out according to the generally accepted methodology of field experience. Results. The effectiveness of the application of top dressing with bacterial fertilizers “Azotovit” and “Fosfatovit” in the cultivation of grain legumes (soybeans, lentils) on light gray forest soils has been established. The use of “Fosfatovit” accelerated the ripening of soybeans for 4 days, lentils for 5 days, “Azotovit” influenced the formation of vegetative mass, increasing the number of leaves and the weight of the plant. An increase in the microbiological activity of the soil was noted when applying top dressing with bacterial fertilizers, the maximum value was obtained in variants with joint top dressing with “Azotovit” and “Fosfatovit”, in the experiment with soy, it averaged 72.1 %, in the experiment with lentils 81.5 %. The maximum increase in soybean yield was provided by fertilizing with “Fosfatovit” for an average of 3.97 t/ha over three years. Fertilizing with “Azotovit” and “Fosfatovit” had the greatest effect on lentils, in this variant the yield increased by 0.59 t/ha, or 32.4 % compared to the control. Top dressing with bacterial fertilizers contributed to an increase in crude protein and crude fat in soy and lentil grains. The scientific novelty of the research is to establish the effectiveness of the application of top dressing with bacterial fertilizers in the cultivation of soybeans and lentils in the conditions of the Chuvash Republic.

Effect of post-emergence herbicides on weed dynamics and yield of soybean [Glycine max (L.) Merrill]

Effect of post-emergence herbicides on weed dynamics and yield of soybean [Glycine max (L.) Merrill]

Influence of conservation agriculture and organic nutrient management on growth and yield of soybean: French bean cropping system

Influence of conservation agriculture and organic nutrient management on growth and yield of soybean: French bean cropping system

Effect of consortia liquid bio-fertilizer on yield, quality and economics of kharif soybean (Glycine max L.)

Effect of consortia liquid bio-fertilizer on yield, quality and economics of kharif soybean (Glycine max L.)

Effect of Planting Distance and Foliar Fertilizer on Soybean Growth and Yield in Saturated Soil Culture in Tidal Swamp

Effect of Planting Distance and Foliar Fertilizer on Soybean Growth and Yield in Saturated Soil Culture in Tidal Swamp

Effect of Application of Sago Dregs and Rice Straw Biochar on Growth and Yield of Soybean (Glycine max L.) in Inceptisol

This research was conducted to determine the effect of giving sago dregs and rice straw biochar on growth and yield and to determine the correct dose of biochar for use in inceptisol soil. The research was conducted at the Experimental Garden of the Research Institute for Various Nut and Tuber Crops (BALITKABI) IP2TP Jambegede, Jl. Agriculture, No.6 Kemiri Village, Kepanjen District, Malang Regency – East Java. The design used was a Randomized Block Design (RBD), which consisted of 6 treatments and was repeated four times. There are 6 treatments, namely: P0 = without biochar; P1 = 100% rice straw biochar; P 2 = sago dregs biochar 100%; p 3 = sago pulp biochar 75% + rice straw biochar 25%; p 4 = sago pulp biochar 50% + rice straw biochar 50%; p 5 = sago pulp biochar 25% + rice straw biochar 75%. Observations included plant height, number of leaves, leaf area, seed weight per plant, and weight of 100 seeds. Data were analyzed using a variance test (Anova) by MS Excel. The results of this research show that the administration of sago dregs biochar and rice straw has a significant effect on yield and growth, where treatment (P3) with a mixture or combination of 75% sago dregs + 25% rice straw biochar, gave the best response compared to other treatments, with results reached 1.64 t.ha-1. Thus, a mixture or combination of 75% sago dregs biochar + 25% rice straw biochar can be used in Inceptisol.

Linking main ecological clusters of soil bacterial–fungal networks and nitrogen cycling genes to crop yields under diverse cropping systems in the North China Plain

BackgroundCrop rotation changes crop species and the associated management strategies, significantly influencing soil fertility and soil microbial communities. Interactions among the species in microbial communities are important for soil nutrient cycling. Yet, the contribution of soil microbial interactions to crop yield and soil nitrogen-cycle function under wheat–maize and wheat–soybean rotation conversion remains unclear. An 8-year field experiment was conducted to investigate the impact of simple [8-year wheat–maize rotation (8WM) and 8-year wheat–soybean rotation (8WS)] and diverse cropping systems [4-year wheat–soybean followed by 4-year wheat–maize rotation (4WS4WM) and 4-year wheat–maize followed by 4-year wheat–soybean rotation (4WM4WS)] on crop yield, soil properties, bacterial–fungal co-occurrence networks and nitrogen functional potentials. The abundances of genes with nitrogen fixation (nifH), nitrification (AOB and nxrA) and denitrification (narG, nirK, norB and nosZ) potentials were quantified and bacterial and fungal communities were characterized.Results4WS4WM led to higher succeeding maize yields and lower bacterial–fungal network complexity, nitrogen fixation potentials and denitrifying potentials than 8WM. Meanwhile, 4WM4WS exhibited higher succeeding wheat and soybean yields, network complexity and lower nitrifying potentials than 8WS. The ecological cluster with the most nitrifying and denitrifying bacterial species (Module#5) and that with the least species (Module#3) dominated the potentials of nitrogen fixation, nitrification and denitrification and succeeding maize yields in 4WS4WM and 8WM. Module#4 with the highest abundances of nitrifying bacteria (Nitrosomonadaceae) and Module#2 with the most species dominated the nitrifying potentials and succeeding wheat and soybean yields in 4WM4WS and 8WS. Soil water content, organic carbon, dissolved organic carbon, NO3− and pH were key drivers influencing Module#3 and Module#5, while only NH4+ significantly affected Module#2 and Module#4.ConclusionsThese findings demonstrate the importance of ecological clusters within soil microbial network in regulating crop yield and soil nitrogen cycling, and identify specific ecological clusters dominating nitrogen functional potentials in wheat–maize and wheat–soybean rotations, offering science-based recommendations for sustainable crop rotation practices.Graphical

Appropriate Water and Nitrogen Regulation Promotes Soybean Yield Formation and Improves Water–Nitrogen Use Efficiency

To address water scarcity and soil damage in the Hexi Oasis irrigation area of China, a study was conducted on regulating water and nitrogen levels for soybean growth under film drip irrigation over two growing seasons (2020 and 2021). Two irrigation levels were tested: mild deficit (W1, 60–70% of field water capacity, FC) and full irrigation (W2, 70–80% of FC), along with three nitrogen levels: low (N1, 60 kg·ha−1), medium (N2, 120 kg·ha−1), and high (N3, 180 kg·ha−1). The control treatment was no nitrogen with full irrigation (W2N0), totaling seven treatments. Results showed that during both growing seasons, soybean plant height reached its peak at the tympanic ripening stage, while the leaf area index (LAI), net photosynthesis rate (Pn), and transpiration rate (Tr) decreased at the tympanic ripening stage. The highest values for the plant height, LAI, Pn, Tr, yield, and the cost–benefit ratio were observed under the W2N2 treatment, significantly outperforming the W2N0 in all aspects (p &lt; 0.05). Over the two-year period, the plant height and LAI were notably higher by 22.86% and 7.09%, respectively, in the W2N2 treatment compared to the W1N1. Full irrigation under N1 and N2 conditions resulted in an enhanced soybean Pn and Tr. However, under N3 conditions, a deficit-tuned irrigation treatment led to a 15.71% increase in the Pn and a 13.34% increase in the Tr on a two-year average. The W2N2 treatment had the highest yield, with a significant 4.93% increase over the W1N3 treatment on a two-year average. The highest rate of change in yield was observed in W1. The two-year cost–benefit ratio and unilateral water benefit reached their peak values in W2N2 and W1N2, respectively. Water use efficiency (WUE) was lower in N1 but significantly increased by 21.83% on a two-year average in W1N3 compared to W1N2. Additionally, W1 had a 14.21% higher WUE than W2 over two years. N3 had the lowest partial factor productivity of nitrogen, which increased by 17.78% on a two-year average in W2N1 compared to W1N1. All nine indicators related to yield formation and water–nitrogen use efficiency showed a positive correlation (p &lt; 0.05) in this study. The highest composite scores were achieved with the W2N2 treatment in both years using the entropy weight and TOPSIS method. Overall, the W2N2 treatment provides a water and nitrogen combination that enhances soybean water and fertilizer efficiency, making it a promising option for high-yield soybean cultivation with water and nitrogen conservation in the Hexi Oasis irrigation area of China. This study offers valuable insights for achieving efficient soybean production while saving water and reducing nitrogen use.

Effect of physiologically active substances on the growth, development and yield of soybeans

The results of research on the influence of physiologically active substances on the growth, development and yield of soybean in the conditions of the Middle Volga region are presented. The study of preparations was carried out on the released soybean variety Yuzhanka. The preparations Mival Agro, Vitanol NP (N 10%, P 30%), Vitanol NP (N 30%, P 10%) and NanoSilica were applied at the dosages recommended by the manufacturers. The experiment scheme included four variants of treatments with preparations and control (water). The preparations were applied for pre-sowing seed treatment and spraying of vegetative plants. The growth regulator Mival Agro (seed and plant treatment) provided a 23.1% increase in yield. Treatment with Vitanol NP (N 10%, P 30%) gave an 18.3% yield increase compared to the control. The highest yield was obtained in the variant with Vitanol NP treatment (N 30%, P 10%), which exceeded the control variant by 68.8%. The yield increase when treated with NanoSilicon exceeded the control variant by 29.4%. Application of all physiologically active substances had a positive effect on the growth, development and productivity of soybean plants. Application of Vitanol NP (N 10%, P 30%) had a positive effect on the yield structure parameters such as plant height (527 cm) and lower bean attachment height (15.8 cm). Vitanol NP (N 30%, P 10%) and NanoSilica preparations contributed to the increase in the number of beans (18.1–18.2 pcs). Also, the studied preparations had a positive effect on 1000 seed weight, plant height and height of the lower bean attachment, compared to the control.

Remote sensing imagery to predict soybean yield: a case study of vegetation indices contribution

Remote sensing imagery to predict soybean yield: a case study of vegetation indices contribution