Kalpana Mugali Pundalik, Ramesh Sampangi, Siddu Chindi Basavaraj, Basanagouda Gonal, Madhusudan K, Sathish Hosakoti, Sindhu Dinesh, Kemparaju Munegowda, Anilkumar C
Department of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, India.
Central Sericultural Research and Training Institute, Pampore, India.
Plant Genome. 2025 Jun;18(2):e70039. doi: 10.1002/tpg2.70039.
Genomic prediction has been demonstrated to be an efficient approach for the selection of candidates based on marker information in many crops. However, efforts to understand the efficiency of genomic selection over phenotype-based selection in understudied crops such as dolichos bean (Lablab purpureus L. Sweet) are limited. Our objectives were to (i) explore the effective marker density for achieving high prediction accuracy and (ii) assess the effectiveness and efficiency of genomic selection over phenotype-based selection on seed yield at early segregating generations in dolichos bean. In this study, the training population, which consisted of F recombinant inbreds, had a shared common parent with the breeding population, which consisted of F generation breeding population. The populations were genotyped with newly synthesized genomic simple sequence repeat-based markers. The effective marker density for genomic prediction was assessed by using a varying number of markers in predictions using 11 different models. Furthermore, the effectiveness of genomic selection was assessed by comparing the genetic gains in progenies between genotypes selected based on predicted seed yield and phenotypically selected genotypes. Our results indicate that low-density markers that are evenly distributed throughout the genome are sufficient for the integration of genomic selection in dolichos breeding programs. The genomic selection was proved to be two times more effective than phenotypic selection in early-generation selection in dolichos beans. The results have a significant impact on adopting genomic selection in regular breeding programs of Dolichos beans at a low cost.
基因组预测已被证明是一种基于标记信息在许多作物中选择候选品种的有效方法。然而，对于像长豇豆（Lablab purpureus L. Sweet）这样研究较少的作物，了解基因组选择相对于基于表型选择的效率的努力有限。我们的目标是：（i）探索实现高预测准确性所需的有效标记密度；（ii）评估在长豇豆早期分离世代中，基因组选择相对于基于表型选择在种子产量方面的有效性和效率。在本研究中，由F重组自交系组成的训练群体与由F代育种群体组成的育种群体有一个共同亲本。这些群体使用新合成的基于基因组简单序列重复的标记进行基因分型。通过在使用11种不同模型的预测中使用不同数量的标记来评估基因组预测的有效标记密度。此外，通过比较基于预测种子产量选择的基因型和基于表型选择的基因型后代的遗传增益来评估基因组选择的有效性。我们的结果表明，在整个基因组中均匀分布的低密度标记足以将基因组选择整合到长豇豆育种计划中。在长豇豆的早期世代选择中，基因组选择被证明比表型选择有效两倍。这些结果对于以低成本在长豇豆常规育种计划中采用基因组选择具有重大影响。
