European Wheat Breeding Center, BASF Agricultural Solutions GmbH, Am Schwabeplan 8, 06466, Stadt Seeland OT Gatersleben, Germany.
KWS SAAT SE & Co. KGaA, Einbeck, 37574, Germany.
Theor Appl Genet. 2023 Oct 24;136(11):229. doi: 10.1007/s00122-023-04450-7.
Sedimentation values and falling number in the last decades have helped maintain high baking quality despite rigorous selection for grain yield in wheat. Allelic combinations of major loci sustained the bread-making quality while improving grain yield. Glu-D1, Pinb-D1, and non-gluten proteins are associated with sedimentation values and falling number in European wheat. Zeleny sedimentation values (ZSV) and Hagberg-Perten falling number (HFN) are among the most important parameters that help determine the baking quality classes of wheat and, thus, influence the monetary benefits for growers. We used a published data set of 372 European wheat varieties evaluated in replicated field trials in multiple environments. ZSV and HFN traits hold a wide and significant genotypic variation and high broad-sense heritability. The genetic correlations revealed positive and significant associations of ZSV and HFN with each other, grain protein content (GPC) and grain hardness; however, they were all significantly negatively correlated with grain yield. Besides, GPC appeared to be the major predictor for ZSV and HFN. Our genome-wide association analyses based on high-quality SSR, SNP, and candidate gene markers revealed a strong quantitative genetic nature of ZSV and HFN by explaining their total genotypic variance as 41.49% and 38.06%, respectively. The association of known Glutenin (Glu-1) and Puroindoline (Pin-1) with ZSV provided positive analytic proof of our studies. We report novel candidate loci associated with globulins and albumins-the non-gluten monomeric proteins in wheat. In addition, predictive breeding analyses for ZSV and HFN suggest using genomic selection in the early stages of breeding programs with an average prediction accuracy of 81 and 59%, respectively.
过去几十年,沉降值和降落数值在小麦严格的籽粒产量选择中帮助保持了较高的烘焙品质。主要基因座的等位基因组合维持了面包制作品质,同时提高了籽粒产量。Glu-D1、Pinb-D1 和非醇溶蛋白与欧洲小麦的沉降值和降落数值有关。Zeleny 沉降值 (ZSV) 和 Hagberg-Perten 降落数值 (HFN) 是帮助确定小麦烘焙品质等级的最重要参数之一,从而影响种植者的经济利益。我们使用了已发表的 372 个欧洲小麦品种的数据,这些品种在多个环境中的重复田间试验中进行了评估。ZSV 和 HFN 性状具有广泛且显著的基因型变异和高的广义遗传力。遗传相关性揭示了 ZSV 和 HFN 之间、与籽粒蛋白质含量 (GPC) 和籽粒硬度之间存在正相关且显著的关系;然而,它们与籽粒产量均呈显著负相关。此外,GPC 似乎是 ZSV 和 HFN 的主要预测因子。我们基于高质量 SSR、SNP 和候选基因标记的全基因组关联分析表明,ZSV 和 HFN 具有很强的数量遗传性质,分别解释了它们总基因型方差的 41.49%和 38.06%。已知醇溶蛋白 (Glu-1) 和麦醇溶蛋白 (Pin-1) 与 ZSV 的关联为我们的研究提供了积极的分析证据。我们报告了与球蛋白和白蛋白相关的新的候选基因座,球蛋白和白蛋白是非醇溶蛋白单体蛋白。此外,对 ZSV 和 HFN 的预测育种分析表明,在育种计划的早期阶段使用基因组选择,平均预测准确性分别为 81%和 59%。