Department of Agrobiotechnology, IFA-Tulln, University of Natural Resources and Life Sciences Vienna, Konrad-Lorenz-Str. 20, 3430, Tulln, Austria.
Saatzucht Donau GesmbH & CoKG, Saatzuchtstrasse 11, 2301, Probstdorf, Austria.
Theor Appl Genet. 2019 Oct;132(10):2767-2780. doi: 10.1007/s00122-019-03386-1. Epub 2019 Jul 1.
Simultaneous genomic selection for grain yield, protein content and dough rheological traits enables the development of resource-use efficient varieties that combine superior yield potential with comparably high end-use quality. Selecting simultaneously for grain yield and baking quality is a major challenge in wheat breeding, and several concepts like grain protein deviations have been developed for shifting the undesirable negative correlation between both traits. The protein quality is, however, not considered in these concepts, although it is an important aspect and might facilitate the selection of genotypes that use available resources more efficiently with respect to the quantity and quality of the final end products. A population of 480 lines from an applied wheat breeding programme that was phenotyped for grain yield, protein content, protein yield and dough rheological traits was thus used to assess the potential of using integrated genomic selection indices to ease selection decisions with regard to the plethora of quality traits. Additionally, the feasibility of achieving a simultaneous genetic improvement in grain yield, protein content and protein quality was investigated to develop more resource-use efficient varieties. Dough rheological traits related to either gluten strength or viscosity were combined in two separate indices, both of which showed a substantially smaller negative trade-off with grain yield than the protein content. Genomic selection indices based on regression deviations for the two latter traits were subsequently extended by the gluten strength or viscosity indices. They revealed a large merit for identifying resource-use efficient genotypes that combine both superior yield potential with comparably high end-use quality. Hence, genomic selection opens up the opportunity for multi-trait selection in early generations, which will most likely increase the efficiency when developing new and improved varieties.
同时对谷物产量、蛋白质含量和面团流变学特性进行基因组选择,可培育出兼具高产潜力和较高终端产品质量的资源高效品种。在小麦育种中,同时选择谷物产量和烘焙品质是一项重大挑战,已经提出了一些概念,如谷物蛋白质偏差,以改变这两个特性之间不良的负相关关系。然而,这些概念没有考虑蛋白质质量,尽管它是一个重要方面,并且可能有利于选择更有效地利用现有资源的基因型,无论是在最终产品的数量还是质量方面。因此,利用来自应用小麦育种计划的 480 个系进行表型分析,评估了使用综合基因组选择指数来简化与众多质量特性相关的选择决策的潜力。此外,还研究了同时在谷物产量、蛋白质含量和蛋白质质量方面实现遗传改良的可行性,以开发更具资源效率的品种。与面筋强度或粘度相关的面团流变学特性被组合在两个单独的指数中,这两个指数与谷物产量的负相关都明显小于蛋白质含量。随后,基于后两个性状回归偏差的基因组选择指数通过面筋强度或粘度指数得到了扩展。它们揭示了识别资源高效基因型的巨大优势,这些基因型兼具高产潜力和较高的终端产品质量。因此,基因组选择为早期世代的多性状选择提供了机会,这很可能会提高开发新的和改进品种的效率。