From Gene-Based Breeding to Haplotype-Based Breeding for Rice (Oryza sativa) Improvement in the Genomics Era

Rice (Oryza sativa L.) improvement increasingly uses genome-scale variation, but breeding decisions remain trait-oriented and depend on genetic architecture, recipient background, target environment, and selection resources. This review assesses when phased haplotype information adds value beyond causal-gene markers, single-nucleotide polymorphism assays, phenotypic selection, and genomic prediction. Reported configurations for yield, grain quality, nutrition, biotic resistance, and abiotic-stress adaptation are evaluated according to population structure, carrier frequency, effect uncertainty, haplotype-by-background interaction, haplotype-by-environment interaction, linkage drag, transferability, assay availability, and current breeding use. A three-tier hierarchy classifies configurations as Candidate, Validated, or Breeder-Ready. Most reported favorable haplotypes remain Candidate targets, fewer have controlled genetic validation, and few sequence-defined multi-variant haplotypes have documented use in active breeding programs. Practical deployment requires stable sequence nomenclature, accessible donors, diagnostic assays, elite-background and multi-environment evaluation, cost analysis, and donor-segment recovery. Graph pangenomes, phased long-read assemblies, causal reconstruction, and prospective comparisons with current selection methods can improve future assessment. Haplotype information has greatest value when phase improves a defined breeding decision and increases target-environment performance, annual genetic gain, selection efficiency, or cultivar delivery.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2026-10-10
DOI
https://doi.org/10.3390/ijms27208972
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
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article

From Gene-Based Breeding to Haplotype-Based Breeding for Rice (Oryza sativa) Improvement in the Genomics Era

Sudisha Jogaiah, Saad Sulieman, Nguyen Nguyen Chuong, Lam‐Son Phan Tran et al.
International Journal of Molecular Sciences
Genetic Mapping and Diversity in Plants and Animals
article

From Gene-Based Breeding to Haplotype-Based Breeding for Rice (Oryza sativa) Improvement in the Genomics Era

Sudisha Jogaiah, Saad Sulieman, Nguyen Nguyen Chuong, Lam‐Son Phan Tran, Đồng Huy Giới, Hong Viet La, Touhidur Rahman Anik, Ha Duc Chu, Nguyen Quoc Trung, Anh Quynh Ho, Nguyet Thi Minh Nguyen
article en

Abstract

Rice (Oryza sativa L.) improvement increasingly uses genome-scale variation, but breeding decisions remain trait-oriented and depend on genetic architecture, recipient background, target environment, and selection resources. This review assesses when phased haplotype information adds value beyond causal-gene markers, single-nucleotide polymorphism assays, phenotypic selection, and genomic prediction. Reported configurations for yield, grain quality, nutrition, biotic resistance, and abiotic-stress adaptation are evaluated according to population structure, carrier frequency, effect uncertainty, haplotype-by-background interaction, haplotype-by-environment interaction, linkage drag, transferability, assay availability, and current breeding use. A three-tier hierarchy classifies configurations as Candidate, Validated, or Breeder-Ready. Most reported favorable haplotypes remain Candidate targets, fewer have controlled genetic validation, and few sequence-defined multi-variant haplotypes have documented use in active breeding programs. Practical deployment requires stable sequence nomenclature, accessible donors, diagnostic assays, elite-background and multi-environment evaluation, cost analysis, and donor-segment recovery. Graph pangenomes, phased long-read assemblies, causal reconstruction, and prospective comparisons with current selection methods can improve future assessment. Haplotype information has greatest value when phase improves a defined breeding decision and increases target-environment performance, annual genetic gain, selection efficiency, or cultivar delivery.

International Journal of Molecular SciencesVol. 27(20)
Texas Tech University (US), United Arab Emirates University (AE), Central University of Kerala (IN), Hanoi Pedagogical University 2 (VN), Vietnam National University of Agriculture (VN), VinUniversity (VN), Vietnam Academy of Agricultural Sciences (VN), VNU University of Engineering and Technology (VN)
Openalex Percentile: Top 14%
Genetic Mapping and Diversity in Plants and Animals
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