Yield under drought stress is a highly complex trait with large influence to even a minor fluctuation in the environmental conditions. Genomics-assisted breeding holds great promise for improving such complex traits more efficiently in less time, but requires markers associated with the trait of interest. In this context, a recombinant inbred line mapping population (TAG 24 × ICGV 86031) was used to identify markers associated with quantitative trait loci (QTLs) for yield and yield related traits at two important locations of West Africa under well watered and water stress conditions. Among the traits analyzed under WS condition, the harvest index (HI) and the haulm yield (HYLD) were positively correlated with the pod yield (PYLD) and showed intermediate broad sense heritability. QTL analysis using phenotyping and genotyping data resulted in identification of 52 QTLs. These QTLs had low phenotypic variance (<12 %) for all the nine traits namely plant height, primary branching, SPAD chlorophyll meter reading, percentage of sound mature kernels, 100 kernel weight, shelling percentage, HI, HYLD and PYLD. Interestingly, few QTLs identified in this study were also overlapped with previously reported QTLs detected for drought tolerance related traits identified earlier in Indian environmental conditions using the same mapping population. Accumulating these many small-effect QTLs into a single genetic background is nearly impossible through marker-assisted backcrossing and even marker-assisted recurrent selection. Under such circumstances, the deployment of genomic selection is the most appropriate approach for improving such complex traits with more precision and in less time.

中文翻译：

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尼日尔和塞内加尔不同水分条件下花生（Arachis hypogaea L.）产量和产量相关性状数量性状位点的鉴定

干旱胁迫下的产量是一个高度复杂的性状，对环境条件的微小波动影响很大。基因组学辅助育种有望在更短的时间内更有效地改善此类复杂性状，但需要与感兴趣的性状相关的标记。在此背景下，重组自交系作图群体（TAG 24 × ICGV 86031）用于在水分充足和水分胁迫条件下，在西非两个重要地点鉴定与产量和产量相关性状的数量性状基因座（QTL）相关的标记. 在WS条件下分析的性状中，收获指数（HI）和稻草产量（HYLD）与豆荚产量（PYLD）呈正相关，表现出中等广义遗传力。使用表型和基因分型数据的 QTL 分析导致鉴定了 52 个 QTL。这些 QTL 对所有 9 个性状（即株高、初级分枝、SPAD 叶绿素读数、完好成熟籽粒百分比、百粒重、脱壳百分比、HI、HYLD 和 PYLD）均具有低表型方差（<12%）。有趣的是，本研究中鉴定的少数 QTL 也与先前报道的使用相同作图群体在印度环境条件下鉴定的耐旱相关性状的 QTL 重叠。通过标记辅助回交甚至标记辅助循环选择，将这些许多小效应 QTL 积累到单个遗传背景中几乎是不可能的。在这样的情况下，