Aalborg Trine, Romé Hélène, Ranzau Christina, Bagge Merethe, Jensen Just, Nielsen Kåre Lehmann
Department of Chemistry and Bioscience, Aalborg University, Aalborg, Denmark.
Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark.
Plant Genome. 2025 Sep;18(3):e70066. doi: 10.1002/tpg2.70066.
Crop potato, Solanum tuberosum L., has great genetic improvement potential, but vegetative propagation, tetrasomic inheritance, and inbreeding depression have limited genetic gain in the elite gene pool. To elucidate the transmission ability of breeding material in the current elite gene pool, we estimated the additive genetic variance and specific combining abilities among 18 parents for 10 key agronomic traits and evaluated the impact of genotypic information in capturing trait inheritance patterns using genomic prediction. Analysis of 5013 clones from an F population of an 18-parent incomplete diallel cross showed that within the population, some traits had greater additive genetic effects, while others had greater nonadditive genetic contributions. There were clear differences in the breeding values between the evaluated parents. The effect of cytoplasmic genome type on phenotype was assessed and compared to its impact on fertility. These statistics were used to discuss the parental potential of the diallel parents. Including genotyping-by-sequencing information (available for 15% of the population) in a single-step approach improved the prediction accuracy of genetic breeding values, and, surprisingly, the greatest effect was observed for the genomic prediction of high-heritability traits. Increased prediction accuracy across multiple traits is crucial to support the breeder's decisions when selecting parents. The phenotypic and genetic correlations between traits were determined using pairwise bivariate models. Significant genetic correlations between several traits were identified, indicating that single-trait selection in breeding programs will result in the indirect selection of correlated traits-possibly with opposing additive contributions to different breeding goal traits by the same progenitor.
栽培马铃薯(Solanum tuberosum L.)具有巨大的遗传改良潜力,但无性繁殖、四体遗传和近交衰退限制了优良基因库中的遗传增益。为了阐明当前优良基因库中育种材料的传递能力,我们估计了18个亲本在10个关键农艺性状上的加性遗传方差和特殊配合力,并使用基因组预测评估了基因型信息在捕捉性状遗传模式方面的影响。对一个18亲本不完全双列杂交F群体的5013个克隆进行分析表明,在群体中,一些性状具有较大的加性遗传效应,而另一些性状具有较大的非加性遗传贡献。评估的亲本之间的育种值存在明显差异。评估了细胞质基因组类型对表型的影响,并将其与对育性的影响进行了比较。这些统计数据用于讨论双列杂交亲本的亲本潜力。在单步方法中纳入测序基因分型信息(该群体的15%可用)提高了遗传育种值的预测准确性,而且令人惊讶的是,对于高遗传力性状的基因组预测观察到了最大效应。提高多个性状的预测准确性对于支持育种者在选择亲本时的决策至关重要。使用成对双变量模型确定性状之间的表型和遗传相关性。鉴定出几个性状之间存在显著的遗传相关性,这表明育种计划中的单性状选择将导致相关性状的间接选择——同一亲本对不同育种目标性状的加性贡献可能相反。