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Qualitative and quantitative evaluation of cassava bacterial blight resistance in F1 progeny of a cross between elite cassava clones

机译:优良木薯无性系杂交后代F1 后代对木薯白叶枯病抗性的定性和定量评估

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摘要

Deployment of resistant varieties is one major approach to controlling cassava bacterial blight (CBB), caused by Xanthomonas axonopodis pv. manihotis (Xam). To understand the genetic determinism of resistance to CBB, the use of reliable parameters measuring resistance is necessary. In order to test a relevant method for evaluation of quantitative resistance for mapping QTL (quantitative trait loci), the response of 150 F1 individuals, inoculated with four different Xam strains (CIO-84, CIO-1, CIO-136 and CIO-295), was assessed under controlled conditions. We used two types of evaluations at different intervals after inoculation, one based on a scale of 0 to 5 and the second based on the determination of the bacterial population in the vascular system. Both evaluation types revealed interaction between strains and F1 genotypes. Population values at 3 and 6 cm from the point of inoculation showed a high level of correlation. By performing an association analysis, at 7 and 15 days after inoculation, a significant positive correlation between both evaluation types was obtained. However, the disease rating at 30 days did not correlate with bacterial populations at either 7 or 15 days after inoculation, except for one strain, CIO-84. Evaluation of the bacterial population in stem tissues is time and labour consuming, consequently, for a rapid and reliable assessment of CBB resistance for QTL analysis, we strongly recommend evaluation based on the use of a symptom scale.
机译:部署抗病品种是控制木薯黄腐病菌引起的木薯细菌性疫病的一种主要方法。 manihotis(Xam)。要了解抗CBB的遗传决定论,必须使用可靠的参数来测量CBB。为了测试评估QTL(定量性状基因座)定量抗性的相关方法,接种了四种Xam菌株(CIO-84,CIO-1,CIO-136)的150名F1 个体的反应和CIO-295)在受控条件下进行评估。我们在接种后的不同间隔使用了两种类型的评估,一种基于0到5的等级,第二种基于对血管系统中细菌种群的确定。两种评价类型均显示出菌株与F1 基因型之间的相互作用。距接种点3厘米和6厘米处的种群值显示出很高的相关性。通过在接种后第7天和第15天进行关联分析,获得了两种评估类型之间的显着正相关。但是,接种后30天的疾病等级与接种后7天或15天的细菌种群无关,除了一种菌株CIO-84。对干组织中细菌种群的评估非常耗时且费力,因此,为了快速可靠地评估CTL用于QTL分析的CBB抵抗力,我们强烈建议根据症状量表进行评估。

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