Special Issue "Advances in Soybean Genetics and Breeding"

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Genotype Evaluation and Breeding".

Deadline for manuscript submissions: 15 December 2023 | Viewed by 785

Special Issue Editors

Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
Interests: soybean genetics; functional genomics; genomic selection; molecular breeding and computational breeding
Plant Biotechnology Center of Jilin Agricultural University, Changchun 130118, China
Interests: soybean genetics and breeding; crop biotechnology; functional and applied genomics; crop physiology and stress signaling

Special Issue Information

Dear Colleagues,

Soybean, a wealthy source of edible oil and protein, is cultivated globally. In the last century, conventional breeding has made significant progress in soybean breeding; however, considering its limitations of time-consuming variety development, low genetic gain per unit time, and environment sensitiveness, it is not able to maintain pace with the current population growth and climate change. In this context, molecular breeding has emerged as a potential approach to overcome this limitation and accelerate the crop production. Recent technological advances in the field of genome sequencing, “omics”, genome editing, and artificial intelligence-based approaches (e.g., machine learning and deep learning) have allowed to us explore the in-depth genetic mechanism at high accuracy underlying the important traits of soybean and to further deploy these results for the improvement of soybean yield, quality, and stress tolerance to achieve self-sufficiency in soybean production.

For this Special Issue, we seek the submission of research and review articles related to both basic research and technological advancements in soybean genetics and breeding. Authors are welcome to submit articles in the areas of genetic mapping, gene identification, genomic selection, gene editing, genetic engineering, marker-assisted breeding, omics-assisted breeding, high-throughput phenotyping, and other related areas. It is emphasized that papers submitted in this Special Issue are required to possess novel results and/or new plausible and testable models for the integrative analysis of the different approaches applied to soybean breeding.

Prof. Dr. Xianzhong Feng
Prof. Dr. Piwu Wang
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. Agriculture 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.


  • soybean
  • genetic mapping
  • functional genomics
  • yield and quality improvement
  • biotic and abiotic stress resistance
  • omics
  • molecular breeding

Published Papers (1 paper)

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Impact of Allelic Variation in Maturity Genes E1E4 on Soybean Adaptation to Central and West Siberian Regions of Russia
Agriculture 2023, 13(6), 1251; https://doi.org/10.3390/agriculture13061251 - 15 Jun 2023
Viewed by 550
Four maturity genes, namely, E1, E2, E3 and E4, have been found to play major roles in controlling the flowering and maturity time of soybean. Which genotypes of E1E4 genes provide effective adaptation to the varied conditions of [...] Read more.
Four maturity genes, namely, E1, E2, E3 and E4, have been found to play major roles in controlling the flowering and maturity time of soybean. Which genotypes of E1E4 genes provide effective adaptation to the varied conditions of Russia are unknown. To clarify this issue, we have studied the allele variation in soybean E1E4 genes in terms of both flowering and maturity time under the natural day-length conditions of Central Russia and Western Siberia in a collection of 176 soybean accessions, including 142 Russian and 34 foreign accessions. As a result, a high frequency of previously determined E1E4 alleles has been identified. The field experiment showed that genotypes with all recessive alleles from e1-nl/e2/e3/e4 and e1-as/e2/e3/e4 provide the effective adaptation of soybean to the mentioned conditions. Cultivars with these genotypes are considered to be most suitable for cultivation in Central Russia and Western Siberia. Full article
(This article belongs to the Special Issue Advances in Soybean Genetics and Breeding)
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