Recent Advances in Crops Genome-Wide Assisted Selection Breeding

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Crop Breeding and Genetics".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 1089

Special Issue Editors


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Guest Editor
China National Center for Rice Improvement and State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
Interests: rice; molecular breeding; gene editing
Special Issues, Collections and Topics in MDPI journals
China National Center for Rice Improvement and State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
Interests: rice; heading date; saline–alkali resistance; quantitative trait locus; map-based cloning; functional analysis
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
China National Center for Rice Improvement and State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
Interests: genetic improvement of rice quality; developmental biology of rice
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
China National Center for Rice Improvement and State Key Laboratory of Rice Biology and Breeding, China National Rice Research Institute, Hangzhou 311400, China
Interests: rice; yield; quantitative trait locus
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Genome-wide association selection (GWAS) technology in crops has been an important research direction in the field of plant science in recent years, significantly improving the efficiency and accuracy of crop trait improvement. Through high-throughput genomic sequencing technology, breeders can efficiently identify gene markers associated with important agronomic traits. In recent years, the application of GWAS in breeding practices of major crops such as wheat, rice, corn, and soybeans has achieved precise regulation of disease resistance, stress tolerance, and yield traits. Additionally, the integrated analysis of genetic genotypes and phenotypic data provides a new perspective for studying the genetic basis of traits. However, despite the progress made in both theory and application of GWAS, it still faces challenges such as data complexity, insufficient analytical capabilities, and biosafety. In the future, with the advancement of technology and improvements in data analysis methods, genome-wide association selection is expected to be more widely used in the field of crop breeding, providing important support for food security and sustainable agricultural development.

To promote the further development of GWAS in crop molecular breeding and provide researchers with research ideas and breeding guidance, we have created this Special Issue. The papers we are soliciting will focus on case studies, challenges, and solutions in the practical application of GWAS technology, aiming to provide new ideas and methods for the field of crop breeding. We would like to invite research articles or reviews related to the identification of molecular markers linked to quantitative trait loci (QTLs)/genes through various genomic tools including bi-parental QTL approaches, genome-wide association studies (GWASs), mutagenesis, etc., and their application for marker-assisted selection (MAS)/genomic selection in crops.

Dr. Xiaodeng Zhan
Dr. Weixun Wu
Dr. Xiangjin Wei
Dr. Yingxin Zhang
Guest Editors

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Keywords

  • crop breeding
  • Marker-assisted selection (MAS)
  • Quantitative trait locus (QTL)
  • Genome-wide association study (GWAS)
  • mutagenesis

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Published Papers (1 paper)

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Research

15 pages, 4086 KiB  
Article
Assessment of the Prediction Accuracy of Genomic Selection for Rice Amylose Content and Gel Consistency
by Yanjie Lu, Chengcai Xia, Zihao Wang, Qi Liu, Mengyuan Zhu, Xianqiu Xie, Yongyu Zhao, Yunwei Jiang, Xuan Luo, Meiling Zou, Dayong Fan and Zhiqiang Xia
Agronomy 2025, 15(2), 336; https://doi.org/10.3390/agronomy15020336 - 28 Jan 2025
Viewed by 446
Abstract
Genomic selection is an effective method for accelerating the enhancement of plant agronomic traits. Currently, genotype acquisition mainly depends on resequencing and chip technology, and the cost and efficiency are still the key factors restricting the wide application of genomic selection breeding. We [...] Read more.
Genomic selection is an effective method for accelerating the enhancement of plant agronomic traits. Currently, genotype acquisition mainly depends on resequencing and chip technology, and the cost and efficiency are still the key factors restricting the wide application of genomic selection breeding. We explore the merits of Hyper-seq population sequencing technology in genomic selection breeding. Seven genomic selection models were constructed using 417 rice germplasm resources, and each model showed high prediction accuracy for amylose content (0.8316–0.8360) and gel consistency (0.7075–0.7235). We also constructed GBLUP models to explore how the marker number and population size affected prediction accuracy. With increased marker number and population size, prediction accuracy first increased significantly, then leveled off. Finally, through genome-wide association studies, SNPs were selected from five different significance levels for prediction accuracy studies. The results indicated that using markers that are significantly associated with traits greatly enhances the accuracy of prediction. Full article
(This article belongs to the Special Issue Recent Advances in Crops Genome-Wide Assisted Selection Breeding)
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