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.
Authors
- Sudisha Jogaiah (ORCID: https://orcid.org/0000-0003-2831-651X)
- Saad Sulieman (ORCID: https://orcid.org/0000-0003-2070-6660)
- Nguyen Nguyen Chuong (ORCID: https://orcid.org/0000-0001-9631-9953)
- Lam‐Son Phan Tran (ORCID: https://orcid.org/0000-0001-9883-9768)
- Đồng Huy Giới (ORCID: https://orcid.org/0000-0003-4977-3576)
- Hong Viet La (ORCID: https://orcid.org/0000-0002-6016-5857)
- Touhidur Rahman Anik (ORCID: https://orcid.org/0000-0003-1995-494X)
- Ha Duc Chu (ORCID: https://orcid.org/0000-0003-0087-9994)
- Nguyen Quoc Trung (ORCID: https://orcid.org/0000-0003-1123-3419)
- Anh Quynh Ho (ORCID: https://orcid.org/0009-0007-6973-6621)
- Nguyet Thi Minh Nguyen (ORCID: https://orcid.org/0009-0003-0978-3996)
Institutions
- 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)
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
- Field-Weighted Citation Impact
- 0.00