Characterization of the Common Genetic Basis Underlying Seed Hilum Size, Yield, and Quality Traits in Soybean

Zhao, Qingsong; Shi, Xiaolei; Long, Yan; Yang, Chen; Liu, Cong; Yan, Feng; Zhang, Mengchen; Yang, Yongqing; Liao, Hong

doi:10.3389/fpls.2021.610214

Cited by 12 publications

(6 citation statements)

References 35 publications

(44 reference statements)

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“…The soybean yield is the ultimate product of any breeding program, and identification of genomic regions for this trait can increase yield by MAS selection. Zhao et al (2021) used 175 recombinant lines (RILs) to estimate yield and quality traits. They have conducted field trials for consecutive years.…”

Section: Use Of Hormonesmentioning

confidence: 99%

Role of conventional and molecular techniques in soybean yield and quality improvement: A critical review

Gai

Rasheed²,

Zhou

et al. 2021

Not Bot Horti Agrobo

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The soybean is one of the most significant legume crops around the globe and serves as a source of dietary components for humans and animals. It has a higher percentage of protein compared to any other crop. Soybean yield and quality have been affected by many environmental factors. The genetic mechanism of yield and quality is still not clearly understood. Hence there is still a need to investigate the major potent factors to shed light on the mechanism behind yield and quality traits in soybean. Recently, a lot of significant work, including novel QTL, genes, and CRISPR-based genome editing in soybeans, has been done, which opened new doors of hope. The current review has presented detailed work done previously. We have also discussed the role of different breeding techniques in the conventional way of soybean improvement. The genetic factors regulating yield, quality, and disease resistance could be further cloned and transferred into elite cultivars to attain higher output in the current situation of changing environment. The integrated use of several techniques, like CRISPR/Cas9, next-generation sequencing, omics approaches, would be a fruitful way to improve soybean yield and quality. Besides this, hybridization, mass selection, pure line selection, backcross breeding, and pedigree selection should be adopted to develop novel soybean cultivars. This review concluded that soybean yield and quality improvement could be enhanced by exploring its genetic mechanism using several molecular and conventional methods.

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Section: Use Of Hormonesmentioning

confidence: 99%

Role of conventional and molecular techniques in soybean yield and quality improvement: A critical review

Gai

Rasheed²,

Zhou

et al. 2021

Not Bot Horti Agrobo

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“…Numerous studies conducted on various plant species, including rice, maize, wheat, soybean, potato, cucumber, and tomato, have demonstrated the ability of GWAS to uncover associations between marker-trait associations (MTAs) and effectively identify the underlying genes ( Zhao et al., 2011 ; Wang et al., 2016 ; Yan et al., 2019 ; Torkamaneh et al., 2020 ; Gao et al., 2021 ; Zhou et al., 2021 ; Liang et al., 2022 ; Luo et al., 2022 ; Zhao et al., 2023 ; Sun et al., 2022a ; Sun et al., 2022b ; Wang et al., 2015 , 2018 ; Jhon et al., 2023 ; Zhu et al., 2023 ). In soybean, multiple research studies have specifically investigated the genetic basis of yield ( Dong et al., 2021 ; Zhao et al., 2021 ; Bhat et al., 2022 ). Over the past 20 years, more than 3000 quantitative trait loci (QTLs) have been identified through GWAS in soybean ( https://www.soybase.org/ ).…”

Section: Introductionmentioning

confidence: 99%

Genome-wide association studies reveal novel QTLs for agronomic traits in soybean

Han,

Zhao,

Zhang

et al. 2024

Front. Plant Sci.

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IntroductionSoybean, as a globally significant crop, has garnered substantial attention due to its agricultural importance. The utilization of molecular approaches to enhance grain yield in soybean has gained popularity.MethodsIn this study, we conducted a genome-wide association study (GWAS) using 156 Chinese soybean accessions over a two-year period. We employed the general linear model (GLM) and the mixed linear model (MLM) to analyze three agronomic traits: pod number, grain number, and grain weight. ResultsOur findings revealed significant associations between qgPNpP-98, qgGNpP-89 and qgHGW-85 QTLs and pod number, grain number, and grain weight, respectively. These QTLs were identified on chromosome 16, a region spanning 413171bp exhibited associations with all three traits. DiscussionThese QTL markers identified in this study hold potential for improving yield and agronomic traits through marker-assisted selection and genomic selection in breeding programs.

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“…was domesticated approximately 3,000-5,000 years ago in China [9]. It is one of the most widely cultivated economic legume crops for its oil, mineral, and protein resources [10][11][12]. Soybean seed contains 20% oil, 30%-40% protein, 30% carbohydrate, and considerable quantities of dietary fiber, minerals, and vitamins [13].…”

Section: Introductionmentioning

confidence: 99%

Transcriptome Analysis of Soybean in Response to Different Sulfur Concentrations

Wang¹,

Li²,

Wu³

et al. 2022

Phyton

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Sulfur is an indispensable nutrient for plant growth and development, and is important in the synthesis of sulfurcontaining amino acids. Although several studies on the effects of some macronutrients, including nitrogen and phosphorus, have been conducted on the performance of several crops at the genomic level, studies on the effect of sulfur on crop performance are limited. Therefore, this study aimed to examine the effect of different sulfur concentration on the transcriptome of soybean. Additionally, soybean yield parameters were also examined. Two soybean varieties, DND252 and HN84, were exposed to low and high concentrations of sulfur, and differentially expressed genes (DEGs) were identified using transcriptome analysis. The study results showed that the DEGs identified in the DND252 variety were involved in stimuli response, DNA binding and cell periphery under low sulfur concentrations. Also, the DEGs identified under high sulfur concentration were involved in membrane and membrane parts. Additionally, DEGs identified in the HN84 variety under low sulfur concentrations had similar functions as those identified in DND252 under high sulfur concentrations, indicating that HN84 was more sensitive to sulfur concentration changes than DND252. However, under higher sulfur concentrations, the DEGs identified in HN84 were primarily involved in membrane and membrane parts, indicating that high sulfur can cause cell membrane damage. Furthermore, soybean grown using 2.0 mmol/L sulfur had the best yield. The findings of this study identified candidate genes for the breeding and development of sulfur-efficient soybean varieties.

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Characterization of the Common Genetic Basis Underlying Seed Hilum Size, Yield, and Quality Traits in Soybean

Cited by 12 publications

References 35 publications

Role of conventional and molecular techniques in soybean yield and quality improvement: A critical review

Role of conventional and molecular techniques in soybean yield and quality improvement: A critical review

Genome-wide association studies reveal novel QTLs for agronomic traits in soybean

Transcriptome Analysis of Soybean in Response to Different Sulfur Concentrations

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