QTL analysis of genotype x environment interactions affecting cotton fiber quality

QTL analysis of genotype x environment interactions affecting cotton fiber quality
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DOI:
10.1007/s00122-002-1025-y
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发表时间:
2003-02-01
影响因子:
5.4
通讯作者:
Wright, RJ
Wright, RJ
中科院分区:
农林科学1区
文献类型:
--
作者:
Paterson, AH;Saranga, Y;Wright, RJ

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棉花在主要作物中是不寻常的,因为它是在灌溉和雨养条件下大面积种植的,这使得基因型x环境的相互作用在设计作物改进策略时比通常更重要。我们描述了丰水和限水生长条件对纤维质量遗传控制的影响,这是一套复杂的性状,共同决定了棉花的效用。影响纤维长度、长度均匀性、伸长率、强度、细度和颜色(黄度)的qtl分别为6个、7个、9个、21个、25个和11个。棉纤维品质的遗传控制受到生长季节(“年”)之间的一般差异和水分管理制度的具体差异的显著影响。17个qtl仅在限水处理中被检测到,而只有2个qtl特异于水分充足的处理,这表明水分胁迫下纤维质量的改善可能比水分充足条件下纤维质量的改善更加复杂。在棉花等广泛使用灌溉和雨养生产系统的作物中,需要操纵更多数量的基因以在两种条件下赋予足够的质量,这将降低预期的遗传增益率。通过鉴定和使用诊断性DNA标记(包括本文所鉴定的那些)获得的效率,可以部分地改善这些困难。
Cotton is unusual among major crops in that large acreages are grown under both irrigated and rainfed conditions, making genotype x environment interactions of even greater importance than usual in designing crop-improvement strategies. We describe the impact of well-watered versus water-limited growth conditions on the genetic control of fiber quality, a complex suite of traits that collectively determine the utility of cotton. Fiber length, length uniformity, elongation, strength, fineness, and color (yellowness) were influenced by 6, 7, 9, 21, 25 and 11 QTLs (respectively) that could be detected in one or more treatments. The genetic control of cotton fiber quality was markedly affected both by general differences between growing seasons ('years') and by specific differences in water management regimes. Seventeen QTLs were detected only in the water-limited treatment while only two were specific to the well-watered treatment, suggesting that improvement of fiber quality under water stress may be even more complicated than improvement of this already complex trait under well-watered conditions. In crops such as cotton with widespread use of both irrigated and rainfed production systems, the need to manipulate larger numbers of genes to confer adequate quality under both sets of conditions will reduce the expected rate of genetic gain. These difficulties may be partly ameliorated by efficiencies gained through identification and use of diagnostic DNA markers, including those identified herein.