Obsa Bulti Tesso, Eglinton Jason, Coventry Stewart, March Timothy, Guillaume Maxime, Le Thanh Phuoc, Hayden Matthew, Langridge Peter, Fleury Delphine
Australian Centre for Plant Functional Genomics, School of Agriculture, Food and Wine, Waite Research Institute, The University of Adelaide, Glen Osmond, South Australia, Australia.
School of Agriculture, Food and Wine, Waite Research Institute, The University of Adelaide, Glen Osmond, South Australia, Australia.
PLoS One. 2017 May 23;12(5):e0178111. doi: 10.1371/journal.pone.0178111. eCollection 2017.
Identifying yield and grain plumpness QTL that are independent of developmental variation or phenology is of paramount importance for developing widely adapted and stable varieties through the application of marker assisted selection. The current study was designed to dissect the genetic basis of yield performance and grain plumpness in southern Australia using three doubled haploid (DH) populations developed from crosses between adapted parents that are similar in maturity and overall plant development. Three interconnected genetic populations, Commander x Fleet (CF), Commander x WI4304 (CW), and Fleet x WI4304 (FW) developed from crossing of Australian elite barley genotypes, were used to map QTL controlling yield and grain plumpness. QTL for grain plumpness and yield were analysed using genetic linkage maps made of genotyping-by-sequencing markers and major phenology genes, and field trials at three drought prone environments for two growing seasons. Seventeen QTL were detected for grain plumpness. Eighteen yield QTL explaining from 1.2% to 25.0% of the phenotypic variation were found across populations and environments. Significant QTL x environment interaction was observed for all grain plumpness and yield QTL, except QPlum.FW-4H.1 and QYld.FW-2H.1. Unlike previous yield QTL studies in barley, none of the major developmental genes, including Ppd-H1, Vrn-H1, Vrn-H2 and Vrn-H3, that drive barley adaption significantly affected grain plumpness and yield here. Twenty-two QTL controlled yield or grain plumpness independently of known maturity QTL or genes. Adjustment for maturity effects through co-variance analysis had no major effect on these yield QTL indicating that they control yield per se.
通过标记辅助选择培育广泛适应且稳定的品种时,识别与发育变异或物候无关的产量和籽粒饱满度QTL至关重要。本研究旨在利用从成熟度和整体植株发育相似的适应性亲本杂交产生的三个双单倍体(DH)群体,剖析澳大利亚南部产量表现和籽粒饱满度的遗传基础。利用澳大利亚优良大麦基因型杂交产生的三个相互关联的遗传群体,即Commander×Fleet(CF)、Commander×WI4304(CW)和Fleet×WI4304(FW),来定位控制产量和籽粒饱满度的QTL。使用由测序分型标记和主要物候基因构建的遗传连锁图谱以及在三个易旱环境下进行的两个生长季的田间试验,分析了籽粒饱满度和产量的QTL。共检测到17个籽粒饱满度QTL。在不同群体和环境中发现了18个产量QTL,其解释的表型变异从1.2%到25.0%不等。除QPlum.FW - 4H.1和QYld.FW - 2H.1外,所有籽粒饱满度和产量QTL均观察到显著的QTL×环境互作。与之前大麦产量QTL研究不同的是,驱动大麦适应性的主要发育基因,包括Ppd - H1、Vrn - H1、Vrn - H2和Vrn - H3,在此处均未对籽粒饱满度和产量产生显著影响。22个QTL独立于已知的成熟度QTL或基因控制产量或籽粒饱满度。通过协方差分析对成熟度效应进行校正,对这些产量QTL没有重大影响,表明它们控制的是产量本身。