Genomic-inferred cross-selection methods for multi-trait improvement in a recurrent selection breeding program.

IF 4.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Sikiru Adeniyi Atanda, Nonoy Bandillo
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引用次数: 0

Abstract

The major drawback to the implementation of genomic selection in a breeding program lies in long-term decrease in additive genetic variance, which is a trade-off for rapid genetic improvement in short term. Balancing increase in genetic gain with retention of additive genetic variance necessitates careful optimization of this trade-off. In this study, we proposed an integrated index selection approach within the genomic inferred cross-selection (GCS) framework to maximize genetic gain across multiple traits. With this method, we identified optimal crosses that simultaneously maximize progeny performance and maintain genetic variance for multiple traits. Using a stochastic simulated recurrent breeding program over a 40-years period, we evaluated different GCS methods along with other factors, such as the number of parents, crosses, and progeny per cross, that influence genetic gain in a pulse crop breeding program. Across all breeding scenarios, the posterior mean variance consistently enhances genetic gain when compared to other methods, such as the usefulness criterion, optimal haploid value, mean genomic estimated breeding value, and mean index selection value of the superior parents. In addition, we provide a detailed strategy to optimize the number of parents, crosses, and progeny per cross that can potentially maximize short- and long-term genetic gain in a public breeding program.

在循环选择育种计划中改进多性状的基因组参考杂交选择方法。
在育种计划中实施基因组选择的主要缺点在于长期降低可加遗传变异,而这是短期快速遗传改良的代价。要在提高遗传增益和保留加性遗传变异之间取得平衡,就必须仔细优化这种权衡。在本研究中,我们在基因组推断交叉选择(GCS)框架内提出了一种综合指数选择方法,以最大限度地提高多个性状的遗传增益。通过这种方法,我们确定了同时最大化后代表现和保持多性状遗传变异的最优杂交。利用一个为期 40 年的随机模拟循环育种计划,我们评估了不同的 GCS 方法以及其他影响脉冲作物育种计划遗传增益的因素,如亲本数、杂交数和每个杂交的后代数。在所有育种方案中,与其他方法(如有用性标准、最佳单倍体值、平均基因组估计育种值和优良亲本的平均指数选择值)相比,后验平均方差始终能提高遗传增益。此外,我们还提供了优化亲本、杂交和每个杂交后代数量的详细策略,该策略有可能在公共育种计划中实现短期和长期遗传收益的最大化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Plant Methods
Plant Methods 生物-植物科学
CiteScore
9.20
自引率
3.90%
发文量
121
审稿时长
2 months
期刊介绍: Plant Methods is an open access, peer-reviewed, online journal for the plant research community that encompasses all aspects of technological innovation in the plant sciences. There is no doubt that we have entered an exciting new era in plant biology. The completion of the Arabidopsis genome sequence, and the rapid progress being made in other plant genomics projects are providing unparalleled opportunities for progress in all areas of plant science. Nevertheless, enormous challenges lie ahead if we are to understand the function of every gene in the genome, and how the individual parts work together to make the whole organism. Achieving these goals will require an unprecedented collaborative effort, combining high-throughput, system-wide technologies with more focused approaches that integrate traditional disciplines such as cell biology, biochemistry and molecular genetics. Technological innovation is probably the most important catalyst for progress in any scientific discipline. Plant Methods’ goal is to stimulate the development and adoption of new and improved techniques and research tools and, where appropriate, to promote consistency of methodologies for better integration of data from different laboratories.
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