ArticlePlant biotechnology journal2020
Hybrid breeding of rice via genomic selection.
Article in Plant biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.
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Who cites it
60 citing papers in PubMed.
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- Dissecting the genetic basis of agronomic traits by multi-trait GWAS and genetic networks in maize (aBIOTECH · 2025Article
- Evaluating effect of different dominance genotype encodings on genome-wide association studies and genomic selection.Animal bioscience · 2025Article
- Integrating Traditional Breeding and Modern Biotechnology for Advanced Forest Tree Improvement.International journal of molecular sciences · 2025Review
- GWAS and GS analysis revealed the selection and prediction efficiency for yield, plant morphological, and fiber quality in Gossypium barbadense.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Advancements in hybrid rice production: improvements in male sterility and synthetic apomixis for sustainable agriculture.Plant biotechnology journal · 2025Review
- SPDC-HG: An accelerator of genomic hybrid breeding in maize.Plant biotechnology journal · 2025Article
- Genomic data uncover complex hybridization and evolutionary history of the bunchberry species complex (Horticulture research · 2025Article
- Phenotype and transcriptome analysis identify the key genes controlling seed size and oil accumulation in oil-Camellia.Plant cell reports · 2025Article
- Metabolic marker-assisted genomic prediction improves hybrid breeding.Plant communications · 2025Article
- Past and future of cytoplasmic male sterility and heterosis breeding in crop plants.Plant cell reports · 2025Review
- GPOSYSH: Genomic Prediction ofRecent advances in food, nutrition & agriculture · 2025Article
- How Rice Responds to Temperature Changes and Defeats Heat Stress.Rice (New York, N.Y.) · 2024Review
- Enhancing Across-Population Genomic Prediction for Maize Hybrids.Plants (Basel, Switzerland) · 2024Article
- Unlocking the mystery of heterosis opens the era of intelligent rice breeding.Plant physiology · 2024Review
- Production of grains with ultra-low heavy metal accumulation by pyramiding novel Alleles of OsNramp5 and OsLsi2 in two-line hybrid rice.Plant biotechnology journal · 2024Article
- GA-GBLUP: leveraging the genetic algorithm to improve the predictability of genomic selection.Briefings in bioinformatics · 2024Article
- Conversion of superior bread wheat genotype HD3209 carrying Lr19/Sr25 into CMS line for development of rust-resistant wheat hybrids.Scientific reports · 2024Article
- High-quality genome assembly enables prediction of allele-specific gene expression in hybrid poplar.Plant physiology · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Hybrid breeding is the main strategy for improving productivity in many crops, especially in rice and maize. Genomic hybrid breeding is a technology that uses whole-genome markers to predict future hybrids. Predicted superior hybrids are then field evaluated and released as new hybrid cultivars after their superior performances are confirmed. This will increase the opportunity of selecting true superior hybrids with minimum costs. Here, we used genomic best linear unbiased prediction to perform hybrid performance prediction using an existing rice population of 1495 hybrids. Replicated 10-fold cross-validations showed that the prediction abilities on ten agronomic traits ranged from 0.35 to 0.92. Using the 1495 rice hybrids as a training sample, we predicted six agronomic traits of 100 hybrids derived from half diallel crosses involving 21 parents that are different from the parents of the hybrids in the training sample. The prediction abilities were relatively high, varying from 0.54 (yield) to 0.92 (grain length). We concluded that the current population of 1495 hybrids can be used to predict hybrids from seemingly unrelated parents. Eventually, we used this training population to predict all potential hybrids of cytoplasm male sterile lines from 3000 rice varieties from the 3K Rice Genome Project. Using a breeding index combining 10 traits, we identified the top and bottom 200 predicted hybrids. SNP genotypes of the training population and parameters estimated from this training population are available for general uses and further validation in genomic hybrid prediction of all potential hybrids generated from all varieties of rice.
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