The identification of quantitative trait loci (QTL) across different environments is a prerequisite for marker‐assisted selection (MAS) in crop improvement programmes. CottonSNP63k Illumina infinium array was used for genotyping 178 inter‐specific recombinant inbred lines and the parents, and identified 1,667 homozygous polymorphic markers between the parents. Of these, 1,430 markers were used for the construction of linkage map after removing 237 redundant markers. The genetic map spans a total genetic length of 3,149.8 cM with an average marker interval size of 2.2 cM. The phenotypic data from five environments were analysed separately using inclusive composite interval mapping which identified a total of 56 QTL explaining phenotypic variances (PVE) in the range of 8.18%–28.91%. There were 11 and 24 major QTL found for fibre quality and yield components, respectively. A total of 64 QTL were identified through Multi‐Environment Trials analysis, of which 34 recorded QTL × Environment interactions.

中文翻译：

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四倍体棉花的基因组图谱和分子标记鉴定，用于产量，产量构成和纤维品质性状

鉴定不同环境中的数量性状位点（QTL）是作物改良计划中标记辅助选择（MAS）的前提。CottonSNP63k Illumina无限阵列用于178个种间重组近交系和亲本的基因分型，并在亲本之间鉴定了1,667个纯合多态性标记。其中，删除了237个冗余标记后，将1,430个标记用于构建连锁图。遗传图谱的总遗传长度为3,149.8 cM，平均标记间隔大小为2.2 cM。来自五个环境的表型数据使用包含性复合区间映射进行了单独分析，共确定了56个QTL，解释了表型变异（PVE）在8.18％–28.91％的范围内。发现分别有11个和24个主要QTL涉及纤维质量和产量成分。通过多环境试验分析，总共鉴定出64个QTL，其中34个记录的QTL×环境相互作用。