Previous results from our laboratory have shown that optical sorter–based indirect selection reduced deoxynivalenol (DON) accumulation in soft red winter wheat (SRWW). In this paper we evaluate the efficacy of optical sorter–augmented genomic selection (OSA-GS) for lowering DON accumulation at three selection intensities across 2 yr. In total, 758 SRWW breeding lines were genotyped and then phenotyped in an inoculated Fusarium head blight (FHB) nursery. Accumulation of DON was measured on all breeding lines. The proportion of Fusarium-damaged kernels estimated using an optical sorter (FDKos) was measured on 120 lines; these data were used to train a genomic prediction model. Genomic estimated breeding values (GEBVs) for FDKos were computed for all lines without actual FDKos data. The top 20, 30, and 40% of lines without actual FDKos data were selected based on FDKos GEBVs. The same was done using actual measured DON values. Both strategies lowered DON, but traditional direct phenotypic selection based on actual DON values outperformed OSA-GS. In other words, phenotypic selection was necessary to achieve the greatest reductions in DON. However, using previously published cost estimates for the price of an optical sorter, DON analysis, and genotyping, we determined that OSA-GS required less financial investment than phenotypic selection based on measured DON. Taken together, our findings indicate that OSA-GS is a cost-effective method for lowering DON accumulation and support the usefulness of an optical sorter as a tool for FHB resistance breeding in SRWW.

中文翻译：

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光学分选机增强的基因组选择降低了小麦中脱氧雪腐镰刀菌烯醇的积累

我们实验室先前的结果表明，基于光选机的间接选择减少了软红冬小麦 (SRWW) 中脱氧雪腐镰刀菌烯醇 (DON) 的积累。在本文中，我们评估了光学分选机增强基因组选择 (OSA-GS) 在 2 年内以三种选择强度降低 DON 积累的功效。总共对 758 个 SRWW 育种品系进行了基因分型，然后在接种的镰刀菌枯萎病 (FHB) 苗圃中进行了表型分析。在所有育种品系上测量 DON 的积累。镰刀菌的比例-使用光学分选机 (FDKos) 在 120 行上测量了损坏的内核；这些数据用于训练基因组预测模型。在没有实际 FDKos 数据的情况下，对所有品系计算 FDKos 的基因组估计育种值 (GEBV)。没有实际 FDKos 数据的前 20%、30% 和 40% 的行是基于 FDKos GEBV 选择的。使用实际测量的 DON 值进行相同的操作。两种策略都降低了 DON，但基于实际 DON 值的传统直接表型选择优于 OSA-GS。换句话说，表型选择对于实现 DON 的最大减少是必要的。然而，使用之前公布的光学分选机价格、DON 分析和基因分型的成本估算，我们确定 OSA-GS 比基于测量的 DON 的表型选择需要更少的财务投资。综合起来，