Soybean Plant Height Research Articles

Identification of Genomic Regions Associated with Vine Growth and Plant Height of Soybean.

Vining growth (VG) and high plant height (PH) are the physiological traits of wild soybean that preclude their utilization for domesticated soybean breeding and improvement. To identify VG- and PH-related quantitative trait loci (QTLs) in different genetic resources, two populations of recombinant inbred lines (RILs) were developed by crossing a cultivated soybean, Zhonghuang39 (ZH39), with two wild soybean accessions, NY27-38 and NY36-87. Each line from the two crosses was evaluated for VG and PH. Three QTLs for VG and three for PH, detected in the ZH39 × NY27-38 population of the RILs, co-located on chromosomes 2, 17 and 19. The VG- and PH-related QTL in the ZH39 × NY36-87 population co-located on chromosome 19. A common QTL shared by the two populations was located on chromosome 19, suggesting that this major QTL was consistently selected for in different genetic backgrounds. The results suggest that different loci are involved in the domestication or adaptations of soybean of various genetic backgrounds. The molecular markers presented here would benefit the fine mapping and cloning of candidate genes underlying the VG and PH co-localized regions and thus facilitate the utilization of wild resources in breeding by avoiding undesirable traits.

Construction of a high density genetic map between cultivated and semi-wild soybeans and identification of QTLs for plant height

<p id="C3">In this study, 252 plants and their parents of Fengshou 24 × Tongjiao 83-611 were genotyped by SNP160K DNA-chip. A high-density genetic linkage map with a total length of 3661.46 cM was constructed, composing of 5861 SNP markers. Seven QTLs of plant height were detected by inclusive composite interval mapping (ICIM), and each one explained 2.56%-10.41% of the variation in plant height. <italic>qPH-6-1</italic> had the highest contribution rate of phenotypic variation and dominant effect, explaining 10.41% of plant height variation, and the additive and dominant effects are -1.72 and 18.94, respectively. The contribution rate of <italic>qPH-18-1</italic> was the second, explaining 9.64% of plant height variation, but <italic>qPH-18-1</italic> has the highest additive effect, reaching -12.42. 11 plants with <italic>qPH-6-1</italic> and <italic>qPH-18-1</italic> genotypes <italic>Q6Q6/Q18Q18</italic> were screened in F₂ population with an average plant height of 167.00 cm, and 16 plants with 2-locus genotypes <italic>q6q6/q18q18</italic> were screened out with an average plant height of 91.25 cm. The addition of 23 SNP markers inside and outside the <italic>qPH-18-1</italic> locus interval narrowed the locus interval from 766.97 kb to 66.03 kb, containing eight genes. Combined with gene annotation and relative expression difference analysis, it was hypothesized that <italic>Glyma.18G279800</italic> and <italic>Glyma.18G280200</italic> might be associated with plant height of soybean. This study provides a molecular reference base and genetic basis for the improvement of soybean plant architecture.

The miR166 mediated regulatory module controls plant height by regulating gibberellic acid biosynthesis and catabolism in soybean.

MicroRNAs (miRNAs) are endogenous small non-coding RNAs that play critical roles in regulating plant growth and development. Here, we used Short Tandem Target Mimic (STTM) technology to generate soybean (Glycine max (L.) Merr.) miRNA knockdown lines and identify miRNAs that regulate plant height, a key agronomic trait that affects yield. STTM166 successfully silenced miR166 in soybean and upregulated the expression of miR166 target genes, such as ATHB14-LIKE. The miR166 knockdown lines (GmSTTM166) displayed a reduced plant height phenotype. Moreover, GmSTTM166 plants contained lower levels of bioactive gibberellic acid (GA3) than wild-type plants, and application of exogenous GA partially rescued the dwarf phenotype of GmSTTM166. Knockdown of miR166 altered the expression of genes involved in GA biosynthesis and catabolism. Further analysis revealed that ATHB14-LIKE directly represses transcription of the GA biosynthesis genes GmGA1 and GmGA2, while activating transcription of the GA catabolic gene GIBBERLLIN 2 OXIDASE 2 (GmGA2ox2). Collectively, these results reveal a pivotal role for miR166 in the genetic control of plant height in soybean, thereby providing invaluable insights for molecular breeding to improve soybean yield.

Effects of the amount of biochar application on agronomic traits and nutrient content of soybean

A pot experiment was conducted at the Shaoyang University test base in May 2020, with Xudou 18 as the research object. We investigated the growth and development as well as the agronomic traits and nutrient content across a gradient of 0 (CK), 5, 10, 20, and 40 g·kg-1 of biochar addition. The results showed that compared with CK, the biochar application significantly affected growth dynamic, plant height, number of effective pods per plant, 100-grain weight, and leaf and stem dry weights of soybean plants, and the contents of protein, crude fat and isoflavone in soybean seeds. At the application rate of 20 g·kg-1, the germination rate of soybean was the highest, the growth period was the shortest, the number of effective pods per plant was the highest, the 100-grain weight was the largest, and the contents of protein, crude fat, and isoflavone were the highest in the seeds. When biochar application reached 40 g·kg-1, the plant height of soybean was the highest with extended vegetative growth and delayed maturity, whereas the effective pods per plant and 100-grain weight was reduced compared to that with 20 g·kg-1 application. In conclusion, the effects of biochar addition on agronomic traits and nutrient content of soybean varied with application amount, with 20 g·kg-1 being the optimal under the test condition.

Three-Dimensional Reconstruction of Soybean Canopy Based on Multivision Technology for Calculation of Phenotypic Traits

Precise reconstruction of the morphological structure of the soybean canopy and acquisition of plant traits have great theoretical significance and practical value for soybean variety selection, scientific cultivation, and fine management. Since it is difficult to obtain all-around information on living plants with traditional single or binocular machine vision, this paper proposes a three-dimensional (3D) method of reconstructing the soybean canopy for calculation of phenotypic traits based on multivision. First, a multivision acquisition system based on the Kinect sensor was constructed to obtain all-around point cloud data of soybean in three viewpoints, with different fertility stages of soybean as the research object. Second, conditional filtering and K-nearest neighbor filtering (KNN) algorithms were used to preprocess the raw 3D point cloud. The point clouds were matched and fused by the random sample consensus (RANSAC) and iterative closest point (ICP) algorithms to accomplish the 3D reconstruction of the soybean canopy. Finally, the plant height, leafstalk angle and crown width of soybean were calculated based on the 3D reconstruction of soybean canopy. The experimental results showed that the average deviations of the method was 2.84 cm, 4.0866° and 0.0213 m, respectively. The determination coefficients between the calculated values and measured values were 0.984, 0.9195 and 0.9235. The average deviation of the RANSAC + ICP was 0.0323, which was 0.0214 lower thanthe value calculated by the ICP algorithm. The results enable the precise 3D reconstruction of living soybean plants and quantitative detection for phenotypic traits.

Herbicides in soybean development: productive aspects and physiological quality of seeds

The objective was to evaluate the production components of soybean and the physiological quality of seeds according to the application of subdoses of herbicides at the reproductive stage of healthy plants. The treatments consisted of the application of glyphosate (122.5 g acid equivalent [ae] ha-1), chlorimuron (1.75 g active ingredient [ai] ha-1), 2,4-D (134 g ae ha-1), fomesafen (60 g ai ha-1), glufosinate (55 g ai ha-1), paraquat (35 g ai ha-1), and control (no application). The chlorophyll index, agronomic performance, and physiological quality of seeds were evaluated. Glyphosate, chlorimuron, fomesafen, or glufosinate resulted in an increase in soybean plant height. Chlorimuron increased yield compared to the control. Paraquat or glufosinate, despite the injury, did not reduce yield, but the application of these herbicides is not recommended to stimulate plant development, given the potential for injury. The 2,4-D was the only one that caused a reduction in the physiological quality of soybean seeds.

Effects of Different Intercropping Models on Growth and Yield Traits of Maize in Red Soil Dryland

In order to develop the suitable planting mode of maize in red soil dryland, improve the related plant and ear characters of maize, promote high quality and high yield, and improve economic benefits. The experiment was conducted in the Science and Technology Park of Jiangxi Agricultural University from May 13, 2020 to October 18, 2020 and from May 5, 2021 to October 7, 2021. Taking maize as the control, three intercropping treatments of maize intercropping soybean, maize intercropping peanut and maize intercropping sweet potato were set up to compare their effects on agronomic characters such as plant height, stem diameter and ear width of maize and yield. The results showed that the plant height and ear height of maize intercropping soybean reached the maximum in two years, with plant height of 208.9 cm and 191.9 cm, ear height of 80.2 cm and 58.4 cm, respectively. The ear length and grain number per row of intercropping treatment were better than that of monoculture treatment. The ear length of maize intercropping and soybean reached the maximum, which were 16.5 cm and 19.0 cm respectively, and the grain number per row was also higher than that of other treatments. The yield of maize intercropping soybean was the highest, 42.1 kg and 43.5 kg respectively in two years. Compared with monoculture, intercropping can improve stem diameter, ear height, ear length, grain number per row and other ear traits, so as to improve corn yield, among which maize intercropping soybean is the best. The results of grey correlation showed that ear length and plant height had a great influence on maize yield. The comprehensive analysis shows that the use of maize intercropping soybean model is conducive to achieve high quality and high yield.

Growth Repressor GmRAV Binds to the GmGA3ox Promoter to Negatively Regulate Plant Height Development in Soybean.

Plant height is an important component of plant architecture, and significantly affects crop quality and yield. A soybean GmRAV (Related to ABI3/VP1) transcription factor containing both AP2 and B3 domains is a growth repressor. Three GmRAV-overexpressing (GmRAV-ox) transgenic lines displayed extremely shorter height and shortened internodes compared with control plants, whereas transgenic inhibition of GmRAV expression resulted in increased plant height. GmRAV-ox soybean plants showed a low active gibberellin level and the dwarf phenotype could be rescued by treatment with exogenous GA3 treatment. ChIP (Chromatin immunoprecipitation)-qPCR assay showed that GmRAV could directly regulate the expression of the GA4 biosynthetic genes GA3-oxidase (GmGA3ox) by binding two CAACA motifs in the GmGA3ox promoter. The GmGA3ox promoter was bound by GmRAV, whose expression levels in leaves were both elevated in GmRAV-i-3 and decreased in GmRAV-ox-7 soybean plants. Transient expression assay in N. benthamiana also showed that the proGmRAV:GmRAV-3F6H effector strongly repressed the expression of LUC reporter gene driven by GmGA3ox promoter containing two CAACA motifs. Together, our results suggested that GmRAV protein repressed the expression of GmGA3ox by directly binding to the two CAACA motifs in the promoter to limit soybean plant height.

Detecting QTL and Candidate Genes for Plant Height in Soybean via Linkage Analysis and GWAS.

Soybean is an important global crop for edible protein and oil, and plant height is a main breeding goal which is closely related to its plant shape and yield. In this research, a high-density genetic linkage map was constructed by 1996 SNP-bin markers on the basis of a recombinant inbred line population derived from Dongnong L13 × Henong 60. A total of 33 QTL related to plant height were identified, of which five were repeatedly detected in multiple environments. In addition, a 455-germplasm population with 63,306 SNP markers was used for multi-locus association analysis. A total of 62 plant height QTN were detected, of which 26 were detected repeatedly under multiple methods. Two candidate genes, Glyma.02G133000 and Glyma.05G240600, involving in plant height were predicted by pathway analysis in the regions identified by multiple environments and backgrounds, and validated by qRT-PCR. These results enriched the soybean plant height regulatory network and contributed to molecular selection-assisted breeding.

SNP-bin linkage analysis and genome-wide association study of plant height in soybean

As the major source of edible protein and oil, the global demand for soybean (Glycine max (L.) Merr.) is increasing. Plant height is closely related to yield; therefore, understanding the genetic basis of plant height will help to improve soybean plant type and increase seed yield. In this study, quantitative trait loci (QTLs) and nucleotides (QTNs) for soybean plant height were detected by linkage analysis and association analysis. A high-density map containing 2225 bin markers was constructed by using 108 342 SNPs of a recombinant inbred line population (named RIL3613) of 120 lines for linkage analysis. In total, 39 QTLs were detected, including 16 QTLs that were repeatedly detected in multiple environments. Association analysis was performed by using 63 306 SNPs from a germplasm population of 455 natural soybean accessions. In total, 62 QTNs were detected, and 26 QTNs were repeatedly detected by multiple methods. Fourteen QTNs were distributed in the intervals of six multiple-environment QTLs by comparing the results of association analysis and linkage analysis. With pathway analysis, six candidate genes were identified as being associated with plant height. These results contribute to analysis of the genetic basis of plant height and will promote marker-assisted selection for breeding ideal plant shape.

Effects of Manganese Toxicity on the Growth and Gene Expression at the Seedling Stage of Soybean

In order to investigate the effects of Manganese (Mn) toxicity stress on the growth and gene expression at the seedling stage of soybean, soybean seedlings were treated with normal Mn concentration (5 μmol/L MnSO4) and excess Mn concentration (100 μmol/L MnSO4) by the method of hydroponic culture in this study. When soybean was subjected to Mn toxicity stress, excessive Mn could affect seedling growth, root development, the number of Mn oxide spots in leaves, and the Mn accumulation content in different parts of soybean. With the increase of exogenous Mn concentration and the prolongation of culture time, the shoot and root biomasses of soybean decreased significantly, but the plant height of soybean had no obvious effects. The total root length, root surface area and root volume of soybean decreased significantly, but the taproot length, taproot tip length and root diameter did not change significantly. The number of Mn spots in the primary leaves (first leaf) was significantly more than that in the old leaves (second leaf) and the youngest leaves (fourth leaf). The Mn concentration in leaves was significantly higher than that in roots, and the Mn concentration in the old leaves was significantly higher than that in youngest leaves with the method of inductively coupled plasma atomic emission spectrometry (ICP-AES). Moreover, the results in the present study suggested that the 10 selected genes were significantly up-regulated or down-regulated by Mn toxicity in the old and young leaves by quantitative real-time PCR (qRT-PCR) analysis. This indicates that these genes might be important in the process of regulation in old and young leaves of the physiological responses and ion transporting to Mn toxicity stress.

ОСОБЕННОСТИ РОСТА И РАЗВИТИЯ СОРТОВ СОИ ПРИ ВОЗДЕЛЫВАНИИ НА ОРОШАЕМЫХ ЗЕМЛЯХ РОСТОВСКОЙ ОБЛАСТИ

Purpose: selection of soybean varieties adapted to the soil and climatic conditions of Rostov region, taking into account the cultivation technology application on irrigated lands. Materials and methods. Three-year studies were conducted in Oktyabrsky district Rostov region on irrigated lands. Soils under soybean crops are meadow-chernozem heavy loamy. In the experiments, 24 soybean varieties of different ripeness groups were studied. The experiment was carried out in four repetitions with a randomized arrangement of plots. Observations of the soybeans growth and development, yield records, statistical processing of data were carried out according to generally accepted methods of field experiments. Results. The duration of vegetation of the studied soybean varieties ranged from 100 to 125 days. Observations of the growth and development of plants made it possible to determine that, depending on the variety, the height of soybean plants reached 82.9–133.0 cm in the bean-filling phase; during this period, the maximum values of the soybean leaf area duration vary from 38.68 to 84.32 thousand sq. m/ha, and the dry biomass of soybeans varied from 1.31 to 2.31 t/ha. The productivity indicators of the studied soybean varieties on irrigation have been determined. The soybean variety yield varied from 3.19 to 5.34 t/ha. The maximum value was recorded for the variety SK Elana, the minimum was for the variety Kazachka. An analysis of the qualitative composition of soybean grain made it possible to find that the protein content varied from 37.4 to 44.0 %, and the protein harvest was from 1.1 to 1.9 t/ha. The oil content varied from 17.8 to 22.9 % depending on the variety, and its harvest from 0.5 to 1.0 t/ha. Conclusions. Soybean cultivation on irrigated lands allows to obtain high productivity of a wide range of varieties. The maximum yield of soybean grain and protein harvest were obtained from the SK Elana variety – 5.34 t/ha and 1.9 t/ha, respectively. The maximum oil content in the grain was obtained from the Selecta 302 variety – 22.9 %, and its harvest from the SK Elana variety was 1.0 t/ha.

Biochar Enhanced Growth and Biological Nitrogen Fixation of Wild Soybean (Glycine max subsp. soja Siebold &amp; Zucc.) in a Coastal Soil of China

The high salinity and nutrient deficiency in degraded coastal soil restricts crop growth and grain production. The development of effective and novel technology for coastal soil remediation is of great requirement. The effect of wood waste biochar (WB) on the growth and biological nitrogen fixation of wild soybean (Glycine max subsp. soja Siebold &amp; Zucc.), a legume with high economic values and salt tolerance in coastal soil, were explored using a 42-day pot experiment. With the optimal rate of WB addition (1.5%, w/w), the biomass and plant height of wild soybean increased by 55.9% and 28.3%, respectively. WB addition enhanced the photosynthesis (chlorophyll content) and biological nitrogen fixation (nodule number) of the wild soybean. These results may attribute to the improvement of the soil properties including the SOM, NO3−-N content, and WHC. In addition, the shifted bacterial community following WB addition in the coastal soil favored the nitrogen fixation of wild soybean, which was evidenced by the increased abundance of nifH gene and Pseudarthrobacter, Azospirillum, and Rhizobiales. The results of our study suggested the potential of using biochar-based technology to reclaim the coastal degraded soils and enhance the crop growth to ensure food security.

Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data

In soybean, there is a lack of research aiming to compare the performance of machine learning (ML) and deep learning (DL) methods to predict more than one agronomic variable, such as days to maturity (DM), plant height (PH), and grain yield (GY). As these variables are important to developing an overall precision farming model, we propose a machine learning approach to predict DM, PH, and GY for soybean cultivars based on multispectral bands. The field experiment considered 524 genotypes of soybeans in the 2017/2018 and 2018/2019 growing seasons and a multitemporal–multispectral dataset collected by embedded sensor in an unmanned aerial vehicle (UAV). We proposed a multilayer deep learning regression network, trained during 2000 epochs using an adaptive subgradient method, a random Gaussian initialization, and a 50% dropout in the first hidden layer for regularization. Three different scenarios, including only spectral bands, only vegetation indices, and spectral bands plus vegetation indices, were adopted to infer each variable (PH, DM, and GY). The DL model performance was compared against shallow learning methods such as random forest (RF), support vector machine (SVM), and linear regression (LR). The results indicate that our approach has the potential to predict soybean-related variables using multispectral bands only. Both DL and RF models presented a strong (r surpassing 0.77) prediction capacity for the PH variable, regardless of the adopted input variables group. Our results demonstrated that the DL model (r = 0.66) was superior to predict DM when the input variable was the spectral bands. For GY, all machine learning models evaluated presented similar performance (r ranging from 0.42 to 0.44) for each tested scenario. In conclusion, this study demonstrated an efficient approach to a computational solution capable of predicting multiple important soybean crop variables based on remote sensing data. Future research could benefit from the information presented here and be implemented in subsequent processes related to soybean cultivars or other types of agronomic crops.

Joint sowing of corn and soybean in forest-steppe conditions of Western Siberia

The paper presents the results of studies on the cultivation of maise in joint crops with soybean in the forest-steppe zone of Western Siberia in 2003-2005. The authors studied plant height and dynamics of green mass yield of maise and soybean. As a result of recording plant height, the authors observed that corn hybrid Ob 150 CB by 25-30 cm and corn hybrid Krasnodar 382 MB by 35-47 cm were higher in single-seeded crops by harvest than in joint crops, indicating the negative impact of soybeans on corn. The maise hybrid Krasnodarskiy 382 MB reacted more strongly to the depress- ing effect of soybean than the hybrid Obskiy 150 SV in terms of plant height. This comparison was especially noticeable when it was cultivated in joint crops with the early-ripening soybean variety SibNIIK-315. In the early stages of development, the height of soybean plants in single-species and different variants of common crops did not practically differ. However, starting from the phase of fruit formation, the authors observed a decrease in the height of soybean plants in the row with maise and its increase in the intercropping. By harvesting, the difference between the height of soybean plants of the variety October 70 in the row and across the row was on average 11-24 cm. At the same time, the soybean plants of the variety October 70 were lower in the row with maise and higher in the row spacing than in the single-seeded crop. The height of the plants proves not only the principle of competitiveness but also the effect of the high range of tiering, which forces the legume component to reach for the light. In a mixture with the late-ripening maise hybrid Krasnodarskiy 382 MB, the early-ripening soybean variety contributed to a more significant decrease in the green mass yield of maise than the late-ripening soybean variety October 70. Harvesting, conducted on 2-6 September, showed that joint crops of maise, regardless of early maturity, provided a green matter yield of 23.7-40.1 t/ha. This yield was 49% and 14% lower than in the single-species crops of early maturing hybrid maise Ob 150 CB and 2-3 times lower than the mid-season hybrid Krasnodar 382 MV. The nature of the interspecific relationships indicates a more significant negative impact of early maturing soybean variety SibNIIK-315 on the productivity of maise and especially the medium-maturing hybrid Krasnodarskiy 382 MV, where the differences with the single-species sowing showed the most significant value – 51 %.

Spatial Associations of Key Lepidopteran Pests With Defoliation, NDVI, and Plant Height in Soybean

In soybean, Glycine max (L.) Merrill, production, losses to, and control costs for insect pests can be significant limiting factors. Although the heterogeneity of pests has typically been ignored in traditional field management practices, technological advancements have allowed for site-specific pest management systems to be developed for the precise control of pests within a field. In this study, we chose to determine how the in-field distributions of the larvae of three major lepidopteran pests [velvetbean caterpillar Anticarsia gemmatalis (Hübner) (Lepidoptera: Erebidae), soybean looper Chrysodeixis includens (Walker) (Lepidoptera: Noctuidae), and green cloverworm Hypena scabra (Lepidoptera: Erebidae) (Fabricius)] were spatially associated with defoliation, Normalized Difference Vegetation Index (NDVI), and plant height in soybean. Spatial analysis by distance indices (SADIE) of data from two South Carolina soybean fields in 2017 and 2018 revealed a limited number of spatial aggregations for insect datasets. However, 14% and 6% of paired plant-insect datasets were significantly associated or dissociated, respectively. NDVI was found to be more associated with pest distributions than soybean plant heights and defoliation estimates, and the majority of all plant-insect associations and dissociations occurred in the first 4 wk of sampling (late July-early August). If changes are to be implemented regarding how a pest is managed, critical factors explaining the spatial distribution of pests must be identified. Results from this study advocate for the relationship between early-season distributions of pests and important plant variables such as NDVI to be further investigated to better determine the strength of the correlations across years and sites.

PENGARUH BIOAKTIVATOR PADA KOTORAN AYAM DAN PEMBERIAN TRICHODERMA TERHADAP PERTUMBUHAN DAN HASIL KEDELAI (Glycine Max L. Merril)

Based on the research results, the effect of bioactivators on chicken manure and trichoderma on the growth and yield of soybeans ( Glycine max L. Merril ). showed a significant effect of manure fertilizers enriched with bioactivators on the height of soybean plants at the age of 28 DAS, 42 DAS, 56 DAS, number of leaves 28 DAS, 42 DAS, 56 DAS, number of branches 42 DAS, 56 DAS, plant wet weight, number of pods well, plant wet weight, plant dry weight, 100 seeds weight and seed weight per plant. but not significant effect on plant height 14 DAS, number of leaves 14 DAS, number of branches 28, root nodules, length of roots and pods of cipo. The treatment of chicken manure with bioactivators showed a significant increase which showed a significant effect on the observed parameters compared to standard NPK fertilizers. while the treatment of Trichoderma and the interaction between the two had a significant effect on the weight observation parameters of 100 seeds

English

Soybean root rot is a worldwide soil-borne fungal disease threatening soybean production, causing huge losses in yield and quality of soybean. Fusarium species are well recognized as the important causal agent of Fusarium root rot. To screen the beneficial Bacillus strains with capability of suppressing soybean root rot and evaluate the impact of Bacillus combined with biochar against soybean root rot, a pot experiment was conducted with different treatments. In this study, as potential biological control measures, antagonistic Bacillus isolates and different types of biochar were added to soil separately and excellent antagonistic strains mixed with bamboo biochar were applied to the soil. The results showed that seven Bacillus strains promoted the growth of soybean seedlings and reduced root rot severity by 33 to 61%. Bacillus amylolique faciens NH2 was associated with the lowest incidence of soybean root rot, indicating its bio-control potential. The value of plant height, root length and plant dry weight of soybean in the sterilized soil mixed with biochar separately treatment were superior to those of soybean in the inoculated with pathogen treatment, especially the bamboo biochar treatment reduced soybean root rot caused by Fusarium significantly and which bio-control efficacy was 77.41%. The soybean plants shoot and root dry weights in the biochar mixed B. amylolique faciens NH2 or B. subtilis DBK treatments were increased by17.1, 10.7% and 19.51, 19.64%, respectively, which were significantly higher than those of the inoculated pathogen treatment. Compared to antagonistic strain or biochar individual treatments, the disease control efficiency on soybean root rot was up to 64.86% in NH2 strain mixed with bamboo biochar treatment, which reduced root rot severity significantly and showed a synergistic effect. These results suggest that antagonistic Bacillus strains mixed with biochar can be used as an effective alternative in managing soybean root rot. © 2021 Friends Science Publishers

English

The pat gene confers tolerance to glufosinate in transgenic soybean plants; however, some aspects of the selectivity of this herbicide need to be better elucidated. This study aimed to evaluate the development of soybean plants with the pat gene under the application of different glufosinate rates. The experiment was conducted in a greenhouse and included seven different glufosinate rates of and two soybean cultivars (LL0291 and LL0767) with the pat gene, with four replications in a completely randomized design. Glufosinate was applied at the V4 stage (4 nodes on the main stem with fully developed leaves beginning with the unifoliolate nodes) of soybean, and the variables analyzed were: soybean injury, chlorophyll index, plant height, dry and fresh matter of shoots and roots, wet nodules, dry nodules, and total number of nodules. It was found that for both cultivars, the maximum recommended glufosinate rate of 700 g of active ingredient (ai) ha-1 was safe, rates above 1,250 g ai ha-1 may interfere with development, especially biomass accumulation, and, in general, cultivar LL0291 exhibited more injuries than cultivar LL0767. The glufosinate-tolerant soybean (with pat gene) is a great option for farmers, but care should be taken with respect to rates above the maximum recommended in the package insert, so that there is no damage to soybean. © 2021 Friends Science Publishers

Analysis of genome variants in dwarf soybean lines obtained in F6 derived from cross of normal parents (cultivated and wild soybean).

Plant height is an important component of plant architecture and significantly affects crop breeding practices and yield. We studied DNA variations derived from F5 recombinant inbred lines (RILs) with 96.8% homozygous genotypes. Here, we report DNA variations between the normal and dwarf members of four lines harvested from a single seed parent in an F6 RIL population derived from a cross between Glycine max var. Peking and Glycine soja IT182936. Whole genome sequencing was carried out, and the DNA variations in the whole genome were compared between the normal and dwarf samples. We found a large number of DNA variations in both the dwarf and semi-dwarf lines, with one single nucleotide polymorphism (SNP) per at least 3.68 kb in the dwarf lines and 1 SNP per 11.13 kb of the whole genome. This value is 2.18 times higher than the expected DNA variation in the F6 population. A total of 186 SNPs and 241 SNPs were discovered in the coding regions of the dwarf lines 1282 and 1303, respectively, and we discovered 33 homogeneous nonsynonymous SNPs that occurred at the same loci in each set of dwarf and normal soybean. Of them, five SNPs were in the same positions between lines 1282 and 1303. Our results provide important information for improving our understanding of the genetics of soybean plant height and crop breeding. These polymorphisms could be useful genetic resources for plant breeders, geneticists, and biologists for future molecular biology and breeding projects.