野生番茄(Solanum pimpinellifolium)和栽培番茄(Solanum lycopersicum)基因型抗青枯病配合力及基因作用

Wangui Mathai Faith, P. Pascal, M. G. Robert
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引用次数: 0

摘要

番茄青枯病(Ralstonia solanacearum)是肯尼亚番茄最具破坏性和广泛传播的病害之一。本研究的目的是确定番茄抗青枯病的配合力效应和基因作用。对8个亲本进行北卡罗来纳II型配种设计,得到16个F1杂交种。采用α格子设计对F1杂交种和亲本基因型进行青枯病评价。在亲本中,klfacc III是两个种植周期内疾病进展曲线下面积(AUDPC)和发病率的最佳综合组合。Red Diamond × KLF acc III、Money makerx KK acc I、oxylyx KLF acc III和Money makerx KK acc II是AUDPC的最佳特异性组合。AUDPC、病害发生率和植株成活率的狭义遗传率较低,分别为0.14、0.16和0.20。加性与非加性基因作用对AUDPC、病害发病率和植物存活率的相对权重分别为0.19、0.20和0.50。AUDPC、病害发生率和植物存活率的一般预测比(GPR)分别为0.27、0.29和0.50。这些结果表明,非加性基因作用在控制性状中占主导地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combining ability and gene action for bacterial wilt disease resistance in wild tomato (Solanum pimpinellifolium) and cultivated tomato (Solanum lycopersicum) genotypes
Bacterial wilt caused by Ralstonia solanacearum is one of the most destructive and widespread diseases of tomato in Kenya. The objective of this study was to determine the combining ability effects and gene action conditioning bacterial wilt disease resistance in tomato. Eight parents were crossed in North Carolina II mating design scheme to produce sixteen F1 hybrids. The F1 hybrids and the parental genotypes were evaluated for bacterial wilt in an alpha lattice design. Among the parents, KLF acc III was the best general combiner for area under the disease progress curve (AUDPC) and disease incidence across the two cropping cycles. Red Diamond × KLF acc III, Money Maker× KK acc I, Oxyly× KLF acc III and Money Maker× KK acc II were the best specific combiners for AUDPC. Low narrow sense heritability values of 0.14, 0.16 and 0.20 were obtained for AUDPC, disease incidence and plant survival. Relative weights of additive versus non-additive gene action obtained for AUDPC, disease incidence and plant survival were 0.19, 0.20 and 0.50. General predictability ratios (GPR) values of 0.27, 0.29 and 0.50 were obtained for AUDPC, disease incidence and plant survival. These results indicated the predominance of non-additive gene action in governing the traits.
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