Negisho Kefyalew, Shibru Surafel, Matros Andrea, Pillen Klaus, Ordon Frank, Wehner Gwendolin
National Agricultural Biotechnology Research Center, Ethiopian Institute of Agricultural Research (EIAR), Holeta, Ethiopia.
Melkassa Research Center, Ethiopian Institute of Agricultural Research (EIAR), Melkassa, Ethiopia.
Front Plant Sci. 2022 May 26;13:838088. doi: 10.3389/fpls.2022.838088. eCollection 2022.
Ethiopia is a major producer of durum wheat in sub-Saharan Africa. However, its production is prone to drought stress as it is fully dependent on rain, which is erratic and unpredictable. This study aimed to detect marker-trait associations (MTAs) and quantitative trait loci (QTLs) related to indices. Six drought tolerance indices, i.e., drought susceptibility index (DSI), geometric mean productivity (GMP), relative drought index (RDI), stress tolerance index (STI), tolerance index (TOL), and yield stability index (YSI) were calculated from least-square means (lsmeans) of grain yield (GY) and traits significantly ( < 0.001) correlated with grain yield (GY) under field drought stress (FDS) and field non-stress (FNS) conditions. GY, days to grain filling (DGF), soil plant analysis development (SPAD) chlorophyll meter, seeds per spike (SPS), harvest index (HI), and thousand kernel weight (TKW) were used to calculate DSI, GMP, RDI, STI, TOL, and YSI drought indices. Accessions, DW084, DW082, DZ004, C037, and DW092 were selected as the top five drought-tolerant based on DSI, RDI, TOL, and YSI combined ranking. Similarly, C010, DW033, DW080, DW124-2, and C011 were selected as stable accessions based on GMP and STI combined ranking. A total of 184 MTAs were detected linked with drought indices at -logp ≥ 4.0,79 of which were significant at a false discovery rate (FDR) of 5%. Based on the linkage disequilibrium (LD, ≥ 0.2), six of the MTAs with a positive effect on GY-GMP were detected on chromosomes 2B, 3B, 4A, 5B, and 6B, explaining 14.72, 10.07, 26.61, 21.16, 21.91, and 22.21% of the phenotypic variance, respectively. The 184 MTAs were clustered into 102 QTLs. Chromosomes 1A, 2B, and 7A are QTL hotspots with 11 QTLs each. These chromosomes play a key role in drought tolerance and respective QTL may be exploited by marker-assisted selection for improving drought stress tolerance in wheat.
埃塞俄比亚是撒哈拉以南非洲硬质小麦的主要生产国。然而,由于其完全依赖降雨,而降雨不稳定且不可预测,其生产容易受到干旱胁迫。本研究旨在检测与指标相关的标记-性状关联(MTA)和数量性状位点(QTL)。根据田间干旱胁迫(FDS)和田间非胁迫(FNS)条件下的谷物产量(GY)最小二乘均值(lsmeans)以及与谷物产量(GY)显著相关(<0.001)的性状,计算了六个耐旱指标,即干旱敏感指数(DSI)、几何平均生产力(GMP)、相对干旱指数(RDI)、胁迫耐受指数(STI)、耐受指数(TOL)和产量稳定性指数(YSI)。使用GY、灌浆天数(DGF)、土壤植物分析发展(SPAD)叶绿素仪、每穗粒数(SPS)、收获指数(HI)和千粒重(TKW)来计算DSI、GMP、RDI、STI、TOL和YSI干旱指数。根据DSI、RDI、TOL和YSI的综合排名,DW084、DW082、DZ004、C037和DW092被选为前五名耐旱品种。同样,根据GMP和STI的综合排名,C010、DW033、DW080、DW124 - 2和C011被选为稳定品种。在-logp≥4.0时,共检测到184个与干旱指数相关的MTA,其中79个在5%的错误发现率(FDR)下显著。基于连锁不平衡(LD,≥0.2),在2B、3B、4A、5B和6B染色体上检测到六个对GY - GMP有正向影响的MTA,分别解释了14.72%、10.07%、26.61%、21.16%、21.91%和22.21%的表型变异。这184个MTA被聚类为102个QTL。1A、2B和七A染色体是QTL热点,每个染色体有11个QTL。这些染色体在耐旱性中起关键作用,相应的QTL可通过标记辅助选择加以利用,以提高小麦的干旱胁迫耐受性。