Genome-wide prediction is a promising approach to boost selection gain in hybrid breeding.Our main objective was to evaluate the potential and limits of genome-wide prediction to identify superior hybrid combinations adapted to Northwest China. A total of 490 hybrids derived from crosses among 119 inbred lines from the Shaan A and Shaan B heterotic pattern were used for genome-wide prediction of ten agronomic traits. We tested eight different statistical prediction models considering additive（A）... 

【文章來(lái)源】：The Crop Journal. 2020,8(05)

【文章頁(yè)數(shù)】：13 頁(yè)

【文章目錄】：
1. Introduction
2. Materials and methods
    2.1. Plant materials and field trials
    2.2. Phenotypic data analyses
    2.3. Genotyping
    2.4. Analyses of population structure
    2.5. Genome-wide prediction
        2.5.1. Additive model
        2.5.2. Additive and non-additive model
        2.5.3. Additive and dominance models including trait-specific SNPs
        2.5.4. Selection differential to select superior hybrids
3. Results
    3.1. Extensive phenotypic variation observed in field trials
    3.2. Genetically distinct subpopulations
    3.3. Performance of genome-wide prediction models based on additive effects
    3.4. Adding dominance and epistatic effects to the model with additive effects did not improve the prediction ability
    3.5. The potential of trait-specific SNPs in genome-wide prediction
    3.6. Genome-wide selection is more effective than conventional selection
    3.7. Additional 34 excellent single-cross combinations were identified
4. Discussion
    4.1. Hybrid maize breeding based on the two divergent heterotic groups Shaan A and B
    4.2. The prediction models only marginally influenced the prediction abilities
    4.3. Modelling of non-additive effects did not improve the prediction ability for most traits
    4.4. Trait-specific SNPs can drive an increase in predictive ability
    4.5. Implications of genomic selection for hybrid maize breeding
5. Conclusions



本文編號(hào)：3060194