Developing methodologies in the fields of phenomics and genomic prediction have the potential to increase the production of crop species by influencing germplasm improvement. The integration of these technologies into germplasm improvement and breeding programs requires evidence that there will be a direct economic benefit to the program. We determined a basic set of parameters, such as prediction accuracy greater than 0.3, the ability to genotype over 7 lines for the cost of one phenotypic evaluation, and heritability levels below 0.4, at which the use of genomic selection would be of economic benefit in terms of genetic gain and operational costs to the Kansas State University (KSU) winter wheat breeding program. The breeding program was then examined to determine whether the parameters benefitting genomic selection were observed or achievable in a practical sense. Our results show that the KSU winter wheat breeding program is at a decision point with regards to their primary means of selection. A few operational changes to increase prediction accuracy would place the program in the parameter space where genomic selection would be of greatest benefit to the program.

中文翻译：

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冬小麦基因组选择育种程序的优化

基因组学和基因组预测领域中发展的方法学有可能通过影响种质改良来增加农作物的产量。将这些技术整合到种质改良和育种计划中需要有证据表明该计划将直接带来经济利益。我们确定了一组基本参数，例如预测准确度大于0.3，对7个品系进行基因分型的能力（一次表型评估的成本）以及可遗传性水平低于0.4，在这种情况下，使用基因组选择将具有一定的经济效益。堪萨斯州立大学（KSU）冬小麦育种计划的遗传增益和运营成本。然后检查育种程序，以确定在实际意义上是否观察到或可实现有利于基因组选择的参数。我们的结果表明，就其主要选择方式而言，KSU冬小麦育种计划处于决策点。为了提高预测精度而进行的一些操作更改将使程序放置在参数空间中，在该空间中，选择基因组将对程序有最大的好处。