Soybean Growth Research Articles

Integration of prognostic sowing and harvesting schemes to enhance crop dynamic growth simulation in Noah-MP-Crop model

Detailed sowing and harvesting (S&H) information is crucial for climate-coupled crop models to accurately simulate dynamic crop growth. The timing of intra-annual crop growth not only reflects adaptation to climate change but also significantly influences terrestrial biophysical and biochemical processes, as well as the local climate. However, accurately providing sowing and harvesting dates in crop models is challenging due to the limited availability of S&H observations worldwide. In this study, we integrated a prognostic S&H scheme into the Noah-MP-Crop model to eliminate the need for prescribed S&H dates and optimised key crop-related parameters to better reproduce dynamic maize and soybean growth in the U.S. Corn Belt. Results indicated that the bias in estimating site-level S&H dates was within one week. The prognostic S&H schemes, along with optimised crop-related parameters, effectively captured maize and soybean growth at the site scale, as evidenced by leaf area index (LAI) and gross primary production (GPP) simulations. The determination coefficient (R2) for GPP ranged from 0.88 to 0.91 for maize and from 0.70 to 0.82 for soybean at two flux stations. Moreover, the prognostic schemes exhibited better regional LAI and GPP simulations at the beginning and end of the growing season compared to those using state-level median S&H dates, with significant improvements in correlation coefficients ranging from 0 to 0.6, particularly in maize-dominated regions. However, the accuracy in reproducing latent heat flux and sensible heat flux was less satisfactory and showed little association with crop growth status. This work provides an alternative approach to obtaining crop sowing and harvesting information in the Noah-MP-Crop model and facilitates studies on interactions between dynamic crop growth and the climate system, particularly when coupled with the widely used Weather Research and Forecasting (WRF) model.

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.

Vertical distribution and tissue selection of Helicoverpa zea (Lepidoptera: Noctuidae) adult oviposition and neonates on soybean with an indeterminate or determinate growth habit.

Helicoverpa zea (Boddie) is a polyphagous pest that can cause serious damage to crops, including soybeans (Glycine max L.). In soybeans with both determinate and indeterminate growth habits, H. zea larvae are more commonly found on leaves compared to blooms, stems, and pods. Past research demonstrated that H. zea adults tend to oviposit near the upper part of the plant canopy in soybeans with a determinate growth habit. However, ovipositional selection on soybeans with an indeterminate growth habit is unknown. We hypothesized that H. zea would oviposit more uniformly throughout the canopy on indeterminate soybean growth habits due to more diffuse reproductive tissue. We planted field and greenhouse experiments with varieties sharing a similar relative maturity (2 maturity group [MG] 5.2 varieties and 2 MG 5.4/5.5 varieties) but with different growth habits. To test oviposition selection, adult H. zea females were allowed to oviposit under field and caged conditions. We counted the number of H. zea eggs and neonates on each plant tissue type from each of 3 equal parts in the plant canopy: upper, middle, and lower. In both experiments, eggs and neonates were most common on leaves at the top of the plant regardless of soybean growth habit. Consequently, ovipositional selection is likely independent of reproductive tissue availability, and patterns of oviposition through the canopy are similar in growth habits. An improved understanding of H. zea ecology in soybeans relative to indeterminate growth habits may improve recommendations for managing this significant pest of soybean.

Comparative quantitative phosphoproteomic and parallel reaction monitoring analysis of soybean roots under aluminum stress identify candidate phosphoproteins involved in aluminum resistance capacity

Aluminum (Al) toxicity adversely impacts soybean (Glycine max) growth in acidic soil. Reversible protein phosphorylation plays an important role in adapting to adverse environmental conditions by regulating multiple physiological processes including signal transduction, energy coupling and metabolism adjustment in higher plant. This study aimed to reveal the Al-responsive phosphoproteins to understand their putative function and involvement in the regulation of Al resistance in soybean root. We used immobilized metal affinity chromatography to enrich the key phosphoproteins from soybean root apices at 0, 4, or 24 h Al exposure. These phosphoproteins were detected using liquid chromatography-tandem mass spectrometry measurement, verified by parallel reaction monitoring (PRM), and functionally characterized via overexpression in soybean hairy roots. A total of 638 and 686 phosphoproteins were identified as differentially enriched between the 4-h and 0-h, and the 24-h and 0-h Al treatment comparison groups, respectively. Typically, the phosphoproteins involved in biological processes including cell wall modification, and RNA and protein metabolic regulation displayed patterns of decreasing enrichment (clusters 3, 5 and 6), however, the phosphoproteins involved in the transport and metabolic processes of various substrates, and signal transduction pathways showed increased enrichment after 24 h of Al treatment. The enrichment of phosphoproteins in organelle organization bottomed after 4 h of Al treatment (cluster 1). Next, we selected 26 phosphoproteins from the phosphoproteomic profiles, assessed their enrichment status using PRM, and detected enrichment patterns similar to those observed via phosphoproteomic analysis. Among them, 15 phosphoproteins were found to reduce the accumulation of Al and callose in Al-stressed soybean root apices when their corresponding genes were individually overexpressed in soybean hairy roots. In summary, the findings of this study facilitated a comprehensive understanding of the protein phosphorylation events involved in Al resistance responses and revealed some critical phosphoproteins that enhance Al resistance in soybean roots.

Soil application of graphitic carbon nitride nanosheets alleviate cadmium toxicity by altering subcellular distribution, chemical forms of cadmium and improving nitrogen availability in soybean (Glycine max L.)

Cadmium (Cd)-contamination impairs biological nitrogen fixation in legumes (BNF), threatening global food security. Innovative strategies to enhance BNF and improve plant resistance to Cd are therefore crucial. This study investigates the effects of graphitic carbon nitride nanosheets (g-C3N4 NSs) on soybean (Glycine max L.) in Cd contaminated soil, focusing on Cd distribution, chemical forms and nitrogen (N) fixation. Soybean plants were treated with 100 mg kg−1 g-C3N4 NSs, with or without 10 mg kg−1 Cd for 4 weeks. Soil addition of g-C3N4 NSs alleviated Cd toxicity and promote soybean growth via scavenging Cd-mediated oxidative stress and improving photosynthesis. Compared to Cd treatment, g-C3N4 NSs increased shoot and root dry weights under Cd toxicity by 49.5% and 63.4%, respectively. g-C3N4 NSs lowered Cd content by 35.7%–54.1%, redistributed Cd subcellularly by increasing its proportion in the cell wall and decreasing it in soluble fractions and organelles, and converted Cd from high-toxicity to low-toxicity forms. Additionally, g-C3N4 NSs improved the soil N cycle, stimulated nodulation, and increased the N-fixing capacity of nodules, thus increasing N content in shoots and roots by 12.4% and 43.2%, respectively. Mechanistic analysis revealed that g-C3N4 NSs mitigated Cd-induced loss of endogenous nitric oxide in nodules, restoring nodule development. This study highlights the potential of g-C3N4 NSs for remediating Cd-contaminated soil, reducing Cd accumulation, and enhancing plant growth and N fixation, offering new insights into the use of carbon nanomaterials for soil improvement and legume productivity under metal(loid)s stress.

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.

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

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

AMF inhibit the production of phenolic acid autotoxins at the seed-filling stage in soybeans with continuous monocropping

BackgroundSoybean is the main oil crop in Northeast China. Continuous monocropping is more commonly used for soybean production due to rising market demand and arable land constraints. However, autotoxic substances, such as phenolic acids, produced by continuously cropped soybean can reduce yield and quality. The mycorrhiza formed of Arbuscular mycorrhizal fungi (AMF) and plant roots regulate the metabolic activities of the host plant and increase its disease resistance. The main purpose of this study was to inhibit the production of phenolic acids and determine the adverse effects on the growth of continuous monocropping soybean by inoculating Funneliformis mosseae (F. mosseae).ResultsTranscriptomics results showed that the production of phenolic acids in continuous monocropping soybean roots was mainly regulated by the expression of the CHS6, PCL1, SAMT, SRG1, and ACO1 genes, and the expression of these genes was significantly downregulated after inoculation with F. mosseae. Metabolomics results showed that continuous monocropping soybean roots inoculated with F. mosseae inhibited phenolic acid production through the phenylpropane biosynthetic, α-linoleic acid, linoleic acid, and other metabolic pathways. Phenolic acids in the phenylpropane metabolic pathway, such as 4-hydroxybenzoic acid, phthalic acid, and vanillic acid, decreased significantly after inoculation with F. mosseae. The combined analysis of the two showed that genes such as YLS9 and ARF3 were positively correlated with 4-hydroxybenzoic acid and so on, while genes such as CHS6 and SRG1 were negatively correlated with butyric acid and so on.ConclusionF. mosseae regulated the expression of functional genes and related phenolic acid metabolic pathways produced by continuous monocropping soybean roots, inhibiting the production of phenolic acid autotoxic substances in continuous cropped soybean, and slowing down the disturbance of continuous monocropping. This study provides a new solution for continuous monocropping of plants to overcome the autotoxicity barrier and provides a new basis for the development and utilization of AMF as a biological agent.

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.

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 < 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 < 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.

Effect of row distance on plant architecture, weed suppression and yield of silage maize (Zea mays L.) and soybean (Glycine max (L.) Merr.) in a pesticide-free cultivation system in Southern Germany

Conventional farming prioritizes monocultures and synthetic chemicals to secure high yields. However, there are a growing number of initiatives worldwide to reduce or eliminate the use of pesticides. One option for pesticide-free weed management is the adjustment of sowing pattern (row distance, plant arrangement, sowing density). This study investigated the effects of an equal distance sowing versus a normal distance sowing (EDS and NDS1) at constant sowing density on plant morphology, growth and yield of silage maize (Zea mays L.) and soybean (Glycine max (L.) Merr.) as well as the weed occurrence. Therefore, a 3-year (2020–2022) pesticide-free, field experiment was conducted at the Heidfeldhof Research Station, University of Hohenheim, Germany. In silage maize, neither plant architecture nor biomass yield showed significant differences between EDS with 0.375 m and NDS with 0.75 m row distance. In contrast, soybean developed a bushier plant architecture with more branches and shorter petioles in EDS with 0.15 m compared to plants in NDS with 0.50 m row distance, demonstrating phenotypic plasticity. A higher number of pods per plant (EDS: 28.05; NDS: 22.73) and seed yield (EDS: 406.58 g m−2; NDS: 389.34 g m−2) indicated the potential for increased yields applying EDS. Crop competitiveness against weeds was higher in EDS than in NDS, especially early in the growing season. The results highlight the importance of EDS as a valuable tool for pesticide-free, non-organic cropping systems through positive effects on crop yield and efficient weed control.

Partial fishmeal replacement by soybean meal induces fish growth retardation and gut inflammation via gut mucosal barrier dysfunction and dysbiosis in largemouth bass

The study aimed to investigate the effect of partial fishmeal replacement by soybean meal on fish growth, gut histology, oxidative stress, gut microbiota, and gene expression of inflammatory cytokines and tight junction proteins in largemouth bass (Micropterus salmoides). Four isonitrogenous and isolipidic diets were formulated: the FM diet contained 45 % fishmeal (FM diet) and did not contain soybean meal; diets SM25, SM50, and SM75 replaced 25 %, 50 %, and 75 % fishmeal protein in the FM group with soybean meal, respectively. Experimental fish (4.3 ± 0.1 g) were fed to apparent satiation for eight weeks. The results showed that replacing 25 % or more fishmeal decreased villus height, villus width, total superoxide dismutase (T-SOD) and catalase (CAT) activity levels, reduced glutathione contents, and Aurantimicrobium abundance; increased malonaldehyde contents and tumor necrosis factor α (TNF-α) and interleukin 1β (IL-1β) expression; downregulated nuclear factor E2-related factor 2 (Nrf2), occludin, and zona occluding-1 (ZO-1), lysozyme (LYS) and hypoxia-inducible factor-1α (HIF-1α) expression, compared with FM (P < 0.05). Moreover, SBM50 and SBM75 decreased final body weight, weight gain rate, and specific growth rate, and increased the lamina propria width than FM (P < 0.05). Furthermore, SBM25 dramatically reduced Actinobacteriota, Enterococcus, Lactococcus, Leuconostoc, and Streptococcus abundance (P < 0.05). Compared to SM25, SM75 dramatically increased Brucella abundance (P < 0.05). Pearson correlation analysis indicated that tight junction proteins (ZO-1 and Occludin) and gut microbiota (Aurantimicrobium and Brucella) have a significant association with gut inflammation and fish growth (P < 0.05). These results showed that gut dysbiosis and intestinal mucosal barrier dysfunction are major contributors to the soybean meal-induced growth retardation and gut inflammation in fish.

Genome-wide re-identification of the CrRLK1L family in soybean and functional characterization of GmCrRLK1L2 in salt stress response

The Catharanthus roseus receptor-like kinase 1-like (CrRLK1L), a member of the plant receptor-like kinase family, plays crucial roles in plant development and stress response. Despite previous screenings of soybean CrRLK1Ls, their specific function in stress response remains unclear. Utilizing recent soybean whole genome sequencing data, a comprehensive genome-wide analysis was performed to identify CrRLK1Ls in soybean. This study identified 45 CrRLK1L members in soybean, with CrRLK1L2 singled out for further functional investigation. Phylogenetic analysis categorized GmCrRLK1L genes into six classes, some of which exhibited homologs in Arabidopsis. Gene structure and motif analysis revealed a predominance of intron-lacking and relatively conserved GmCrRLK1L genes, with conserved motif patterns across members. Collinearity analysis indicated that both gene tandem and segmental duplication events drove the expansion of the GmCrRLK1L gene family, with segmental duplications being the primary driver. Expression profiling under salt treatment revealed significant up or downregulation of several GmCrRLK1L genes. Overexpression of GmCrRLK1L2 in soybean resulted in reduced plant height and salt tolerance, while knockout did not affect salt tolerance, suggesting potential genetic compensations by other genes. RNA-seq data showed that GmCrRLK1L2 overexpression influenced the expression of metabolic pathways and salt stress-responsive genes, including ACS3, ACO1, PER64, PER53, SAT3, and BCAT2. These findings lay the groundwork for elucidating the biological roles of GmCrRLK1Ls in soybean growth, development, and response to salinity stress.

Biodegradable Microplastic-Driven Change in Soil pH Affects Soybean Rhizosphere Microbial N Transformation Processes.

The potential impacts of biodegradable and nonbiodegradable microplastics (MPs) on rhizosphere microbial nitrogen (N) transformation processes remain ambiguous. Here, we systematically investigated how biodegradable (polybutylene succinate, PBS) MPs and nonbiodegradable (polyethylene, PE) MPs affect microbial N processes by determining rhizosphere soil indicators of typical Glycine max (soybean)-soil (i.e., red and brown soils) systems. Our results show that MPs altered soil pH and dissolved organic carbon in MP/soil type-dependent manners. Notably, soybean growth displayed greater sensitivity to 1% (w/w) PBS MP exposure in red soil than that in brown soil since 1% PBS acidified the red soil and impeded nutrient uptake by plants. In the rhizosphere, 1% PBS negatively impacted microbial community composition and diversity, weakened microbial N processes (mainly denitrification and ammonification), and disrupted rhizosphere metabolism. Overall, it is suggested that biodegradable MPs, compared to nonbiodegradable MPs, can more significantly influence the ecological function of the plant-soil system.

Effects of phosphate fertilization and sulfadiazine on plant growth, root morphology, nitrogen and phosphorus uptake of soybean and maize

Low soil phosphorus (P) availability is a limiting factor for crop production. Application of livestock manure as organic fertilizer can increase soil P availability, but may cause soil contamination with antibiotics such as sulfadiazine (SD), thus adversely affecting plant growth and nutrient uptake. The effects of P (0 and 50 mg kg−1) and SD (0, 1, 10, and 100 mg kg−1) levels on plant growth, root development, and nitrogen (N) and P uptake of maize and soybean were examined in a pot experiment using a loess soil as the test soil. High levels of SD considerably inhibited plant growth of both crops. Both P fertilization and SD negatively affected root development of both crops, especially at higher SD levels. For both crops, the average root diameter and the proportion of thick roots increased with increasing soil SD level. When soil SD level was ≤10 mg kg−1, the effects of P fertilization and SD on plant N and P concentrations, and N:P, N- and P-utilization efficiency were not significant in most cases. The effects of SD on plant N and P nutrition could not be of a great concern when soil SD level was ≤10 mg kg−1. Overall, soil SD pollution could reduce plant biomass and inhibit root development of soybean and maize, with a stronger effect on root development than on plant biomass at a high soil SD level (≥10 mg kg−1). In agricultural production, attention should be paid to soil SD pollution via manure application.

Modeling soybean growth: A mixed model approach.

The evaluation of plant and animal growth, separately for genetic and environmental effects, is necessary for genetic understanding and genetic improvement of environmental responses of plants and animals. We propose to extend an existing approach that combines nonlinear mixed-effects model (NLMEM) and the stochastic approximation of the Expectation-Maximization algorithm (SAEM) to analyze genetic and environmental effects on plant growth. These tools are widely used in many fields but very rarely in plant biology. During model formulation, a nonlinear function describes the shape of growth, and random effects describe genetic and environmental effects and their variability. Genetic relationships among the varieties were also integrated into the model using a genetic relationship matrix. The SAEM algorithm was chosen as an efficient alternative to MCMC methods, which are more commonly used in the domain. It was implemented to infer the expected growth patterns in the analyzed population and the expected curves for each variety through a maximum-likelihood and a maximum-a-posteriori approaches, respectively. The obtained estimates can be used to predict the growth curves for each variety. We illustrate the strengths of the proposed approach using simulated data and soybean plant growth data obtained from a soybean cultivation experiment conducted at the Arid Land Research Center, Tottori University. In this experiment, plant height was measured daily using drones, and the growth was monitored for approximately 200 soybean cultivars for which whole-genome sequence data were available. The NLMEM approach improved our understanding of the determinants of soybean growth and can be successfully used for the genomic prediction of growth pattern characteristics.