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Agronomy
Special Issues
Soybean Molecular Breeding for Yield, Quality and Resistance Traits
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Soybean Molecular Breeding for Yield, Quality and Resistance Traits

A special issue of Agronomy (ISSN 2073-4395).

Deadline for manuscript submissions: 30 September 2024 | Viewed by 6190

Special Issue Editors

Prof. Dr. Junming Sun

E-Mail Website
Guest Editor
MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of AgriculturalSciences, 12 Zhongguancun South Street, Beijing 100081, China
Interests: soybean yieldbreeding; soybean resistance breeding; soybean molecular genetics
Special Issues, Collections and Topics in MDPI journals
Dr. Bin Li

E-Mail Website
Guest Editor
MARA Key Laboratory of Soybean Biology (Beijing), Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing 100081, China
Interests: soybean yield breeding; soybean resistance breeding; soybean molecular genetics

Special Issue Information

Dear Colleagues,

Soybean is one of the most economically important legumes worldwide, providing vegetable protein, oil and ingredients for human and animal consumption alike. Soybean seeds consist of about 40% protein and 20% oil, and improved oil and protein contents can increase the values of soybean. Soybean seeds also contain the nutritional and functional components beneficial to human health, such as amino acids, fatty acids, soluble sugars, isoflavones, folates, tocopherols, and carotenoids. Yield, quality and resistant traits are the most important traits for soybean breeding and industry. Plenty of genes and quantitative trait loci (QTL) related to the major traits were identified based on soybean genomic and genetic studies. Moreover, many novel soybean cultivars with high-yield, high-quality and high resistance have been successful released in the recent years worldwide.

This Special Issue will focus on the latest progress in our understanding of yield, quality and resistance traits. Submissions of reviews or original research articles, covering but not limited to the following themes, are welcome: (1) Novel determination methods for major traits in soybean; (2) genetic dissection of yield, quality and resistance traits in soybean; (3) molecular marker determination for yield, quality and resistance traits in soybean; (4) genotype environment interaction in seed nutritional compositions; and (5) changes in virulence pathogens and their interaction with soybean cultivars.

Prof. Dr. Junming Sun
Dr. Bin Li
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • soybean
  • yield
  • quality
  • resistance
  • tolerance
  • molecular breeding

Published Papers (3 papers)

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Research

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16 pages, 2704 KiB  
Article
QTL Mapping for Seed Quality Traits under Multiple Environments in Soybean (Glycine max L.)
by Jiaqi Liu, Aohua Jiang, Ronghan Ma, Weiran Gao, Pingting Tan, Xi Li, Chengzhang Du, Jijun Zhang, Xiaochun Zhang, Li Zhang, Xiaomei Fang, Zelin Yi and Jian Zhang
Agronomy 2023, 13(9), 2382; https://doi.org/10.3390/agronomy13092382 - 13 Sep 2023
Cited by 2 | Viewed by 1128
Abstract
Soybeans are the main source of vegetable protein and edible oil for humans, with an average content of about 40% crude protein and 20% crude fat. Soybean quality traits are mostly quantitative traits controlled by multiple genes. The quantitative trait loci (QTL) for [...] Read more.
Soybeans are the main source of vegetable protein and edible oil for humans, with an average content of about 40% crude protein and 20% crude fat. Soybean quality traits are mostly quantitative traits controlled by multiple genes. The quantitative trait loci (QTL) for soybean quality traits and mining related candidate genes are of great significance for the molecular breeding of soybean quality traits and understanding the genetic mechanism of protein/fat metabolism. In this study, the F2 population was derived from the high-protein material Changjiang Chun 2 and Jiyu 166. On the basis of a genetic linkage map constructed in our previous study, the QTL of crude protein content, crude oil content and fatty acid fractions were detected using the multiple-QTL model (MQM) mapping method. The results show that a total of 92 QTL were obtained affecting quality traits under three environments, including 14 QTL of crude oil content, 9 QTL of crude protein content, and 20, 20, 11, 10 and 8 QTL for the content of palmitic, stearic, oleic, linoleic and linolenic acids, respectively. Sixteen QTL clusters were identified, among which Loci01.1, Loci06.1 and Loci11.1 were identified as stable QTL clusters with phenotypic contribution rates of 16.5%, 16.4% and 12.1%, respectively, and candidate genes were mined in their regions. A total of 32 candidate genes related to soybean quality were finally screened via GO enrichment and gene annotation. The present study lies the foundations for understanding the genetic mechanism and elite germplasm innovation of seed quality in soybean. Full article
(This article belongs to the Special Issue Soybean Molecular Breeding for Yield, Quality and Resistance Traits)
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15 pages, 2395 KiB  
Article
QTL Mapping for Seed Tocopherol Content in Soybean
by Shibi Zhang, Kwadwo Gyapong Agyenim-Boateng, Shengrui Zhang, Yongzhe Gu, Jie Qi, Muhammad Azam, Caiyou Ma, Yecheng Li, Yue Feng, Yitian Liu, Jing Li, Bin Li, Lijuan Qiu and Junming Sun
Agronomy 2023, 13(5), 1188; https://doi.org/10.3390/agronomy13051188 - 23 Apr 2023
Cited by 2 | Viewed by 1519
Abstract
Tocopherol plays an important role as a powerful antioxidant in human beings and in plants. This study investigated the genetic basis of tocopherol content in soybean. A RIL population of 192 lines derived from 2 cultivars, ZH13 and ZH35, was evaluated for tocopherol [...] Read more.
Tocopherol plays an important role as a powerful antioxidant in human beings and in plants. This study investigated the genetic basis of tocopherol content in soybean. A RIL population of 192 lines derived from 2 cultivars, ZH13 and ZH35, was evaluated for tocopherol content across 3 environments. QTL mapping identified 38 QTL for tocopherol, with stable QTL identified on Chromosomes 5 and 12. Ninety polymorphic genes were identified from these regions. Further SNP variation of a natural population identified 47 SNPs, with missense variants in 19 genes, including the heat shock transcription factor gene (GmHSFA8) and gamma-tocopherol methyltransferase (GmVTE4), potentially related to tocopherol accumulation in soybean. Haplotype analysis revealed significant variations in these missense variants in the natural population. This study provides insights into the genetic mechanisms underlying tocopherol content in soybean, which is important for breeding high tocopherol soybean cultivars. Full article
(This article belongs to the Special Issue Soybean Molecular Breeding for Yield, Quality and Resistance Traits)
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Review

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19 pages, 2942 KiB  
Review
Folate Biofortification in Soybean: Challenges and Prospects
by Kwadwo Gyapong Agyenim-Boateng, Shengrui Zhang, Md. Jahidul Islam Shohag, Abdulwahab S. Shaibu, Jing Li, Bin Li and Junming Sun
Agronomy 2023, 13(1), 241; https://doi.org/10.3390/agronomy13010241 - 13 Jan 2023
Cited by 2 | Viewed by 2979
Abstract
Folate deficiency is a significant global health issue that affects millions of people and causes severe adverse effects. Major staple crops, which provide significant amounts of calories, often contain inadequate folate levels. Synthetic fortification has contributed to a reduction in low-folate populations, but [...] Read more.
Folate deficiency is a significant global health issue that affects millions of people and causes severe adverse effects. Major staple crops, which provide significant amounts of calories, often contain inadequate folate levels. Synthetic fortification has contributed to a reduction in low-folate populations, but a more sustainable solution is needed. Biofortification, or the breeding of crops to naturally increase their nutrient content, is a promising alternative. Soybean is a highly nutritious crop and a good candidate for folate biofortification. However, studies on folate have been limited due to the challenges in folate analysis. The development of sensitive and selective tools, reference materials, and studies on the stability of folate vitamers in crops has facilitated the development of improved folate determination methods. Additionally, the soybean folate biofortification program can be improved by leveraging previous studies in major cereals, common bean and pea, as well as combining conventional breeding with new genomics approaches. In this review, we discuss the folate content, composition, and analytical challenges in soybean and suggest possible frameworks and strategies for folate biofortification in soybean. We also conducted an in silico analysis of key folate biosynthesis enzymes in soybean. Full article
(This article belongs to the Special Issue Soybean Molecular Breeding for Yield, Quality and Resistance Traits)
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