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Genomic Selection and Marker-Assisted Breeding in Crops
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Genomic Selection and Marker-Assisted Breeding in Crops

A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Genetics, Genomics and Biotechnology".

Deadline for manuscript submissions: 31 January 2025 | Viewed by 2220

Special Issue Editor

Dr. Bo-Keun Ha

E-Mail Website
Guest Editor
Department of Applied Plant Science, Chonnam National University, Gwangju 61186, Republic of Korea
Interests: soybean; cowpea; QTL mapping; GWAS; MAS
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Genomic selection and marker-assisted breeding are powerful technologies that speed up the breeding process, enable the precise selection of desirable traits at the molecular level, increase breeding efficiency through the high-throughput screening of a large number of Plants and enhance crop performance for resistance to disease, tolerance to environmental stresses or improved yields. 

This Special Issue of Plants will focus on recent advances in genomic selection and marker-assisted breeding for various agronomic traits in crops. We would like to invite research articles or reviews related to identification of molecular markers linked to quantitative trait loci (QTLs)/genes through various genomic tools including bi-parental QTL approaches, genome-wide association study (GWAS), mutagenesis, etc., and their application for marker-assisted selection (MAS)/genomic selection in crops.

Dr. Bo-Keun Ha
Guest Editor

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. Plants is an international peer-reviewed open access semimonthly 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 2700 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

  • crop breeding
  • molecular marker
  • marker-assisted selection (MAS)
  • quantitative trait locus (QTL)
  • genome-wide association study (GWAS)
  • mutagenesis
  • genomic selection

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Published Papers (2 papers)

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Research

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15 pages, 2057 KiB  
Article
Screening Germplasms and Detecting Quantitative Trait Loci for High Sucrose Content in Soybean
by Se-Hee Kang, Seo-Young Shin, Byeong Hee Kang, Sreeparna Chowdhury, Won-Ho Lee, Woon Ji Kim, Jeong-Dong Lee, Sungwoo Lee, Yu-Mi Choi and Bo-Keun Ha
Plants 2024, 13(19), 2815; https://doi.org/10.3390/plants13192815 - 8 Oct 2024
Viewed by 641
Abstract
Sucrose is a desirable component of processed soybean foods and animal feed, and thus, its content is used as an important characteristic for assessing the quality of soybean seeds. However, few studies have focused on the quantitative trait loci (QTLs) associated with sucrose [...] Read more.
Sucrose is a desirable component of processed soybean foods and animal feed, and thus, its content is used as an important characteristic for assessing the quality of soybean seeds. However, few studies have focused on the quantitative trait loci (QTLs) associated with sucrose regulation in soybean seeds. This study aims to measure the sucrose content of 1014 soybean accessions and identify genes related to high sucrose levels using QTL analysis. Colorimetric analysis based on the enzymatic reaction of invertase (INV) and glucose oxidase (GOD) was employed to test the germplasms. A total of six high-sucrose genetic resources (IT186230, IT195321, IT263138, IT263276, IT263286, and IT276521) and two low-sucrose genetic resources (IT025668 and IT274054) were identified. Two F2:3 populations, IT186230 × IT025668 and Ilmi × IT186230, were then established from these germplasms. QTL analysis identified four QTLs (qSUC6.1, qSUC11.1, qSUC15.1, and qSUC17.1), explaining 7.3–27.6% of the phenotypic variation in the sugar content. Twenty candidate genes were found at the four QTLs. Notably, Glyma.17G152300, located in the qSUC17.1 QTL region, exhibited a 17-fold higher gene expression in the high-sucrose germplasm IT186230 compared to the control germplasm Ilmi, confirming its role as a major gene regulating the sucrose content in soybean. These results may assist in marker-assisted selection for breeding programs that aim to develop soybean lines with a higher sucrose content. Full article
(This article belongs to the Special Issue Genomic Selection and Marker-Assisted Breeding in Crops)
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Review

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16 pages, 557 KiB  
Review
Hybrid Prediction in Horticulture Crop Breeding: Progress and Challenges
by Ce Liu, Shengli Du, Aimin Wei, Zhihui Cheng, Huanwen Meng and Yike Han
Plants 2024, 13(19), 2790; https://doi.org/10.3390/plants13192790 - 4 Oct 2024
Viewed by 971
Abstract
In the context of rapidly increasing population and diversified market demands, the steady improvement of yield and quality in horticultural crops has become an urgent challenge that modern breeding efforts must tackle. Heterosis, a pivotal theoretical foundation for plant breeding, facilitates the creation [...] Read more.
In the context of rapidly increasing population and diversified market demands, the steady improvement of yield and quality in horticultural crops has become an urgent challenge that modern breeding efforts must tackle. Heterosis, a pivotal theoretical foundation for plant breeding, facilitates the creation of superior hybrids through crossbreeding and selection among a variety of parents. However, the vast number of potential hybrids presents a significant challenge for breeders in efficiently predicting and selecting the most promising candidates. The development and refinement of effective hybrid prediction methods have long been central to research in this field. This article systematically reviews the advancements in hybrid prediction for horticultural crops, including the roles of marker-assisted breeding and genomic prediction in phenotypic forecasting. It also underscores the limitations of some predictors, like genetic distance, which do not consistently offer reliable hybrid predictions. Looking ahead, it explores the integration of phenomics with genomic prediction technologies as a means to elevate prediction accuracy within actual breeding programs. Full article
(This article belongs to the Special Issue Genomic Selection and Marker-Assisted Breeding in Crops)
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