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首页> 外文期刊>Plant Pathology >The reliability of leaf bioassays for predicting disease resistance on fruit: a case study on grapevine resistance to downy and powdery mildew
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The reliability of leaf bioassays for predicting disease resistance on fruit: a case study on grapevine resistance to downy and powdery mildew

机译:叶片生物测定法预测水果抗病性的可靠性:以葡萄对霜霉病和白粉病的抗性为例

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This study was designed to assess the reliability of grapevine leaf bioassays for predicting disease resistance on fruit in the field. The efficacy of various grapevine quantitative trait loci (QTLs) for conferring resistance to downy and powdery mildew was evaluated in bioassays and in a 2-year field experiment for downy mildew. The resistance genes studied were inherited from Muscadi-nia rotundifolia (Rpvl and Runl) and from American Vitis species through cv. Regent (QTLRgP and QTLRgD). In bioassays, genotypes carrying Runl blocked powdery mildew development at early stages. Genotypes combining Runl with QTLRgP displayed no greater level of resistance. For downy mildew, genotypes carrying Rpvl and/or QTLRgD were more resistant than the susceptible cv. Merlot, and showed a high level of leaf resistance in the field (<10% severity). Disease levels on bunches were much higher than those on leaves, with a high variability between Rpvl genotypes (1-48%). A Bayesian decision theory framework predicted that an OIV-452 threshold of 5 in leaf bioassays allowed accurate selection of grapevine genotypes (P = 0·83) with satisfactory disease severity on bunches. Therefore, this study validates that the use of early bioassays on leaves, as currently performed by grapevine breeders, ensures a satisfactory level of resistance to downy mildew of bunches in the field.
机译:这项研究旨在评估葡萄叶生物测定法在田间预测水果抗病性的可靠性。在生物测定法和为期2年的田间实验中,评估了各种葡萄定量性状基因座(QTL)赋予对霜霉病和白粉病抗性的功效。研究的抗性基因是从圆叶麝香(Rpvl和Runl)以及美国葡萄物种通过cv遗传的。摄政王(QTLRgP和QTLRgD)。在生物测定中,携带Runl的基因型会在早期阻止白粉病的发展。将Runl与QTLRgP结合的基因型没有显示出更高的抗性水平。对于霜霉病,携带Rpvl和/或QTLRgD的基因型比易感的cv更具抗性。梅乐,并在田间表现出高水平的叶片抗性(<10%严重度)。串上的病害水平比叶子上的病害水平高得多,Rpvl基因型之间的差异很大(1-48%)。贝叶斯决策理论框架预测,在叶片生物测定中将OIV-452阈值设为5可以准确选择葡萄基因型(P = 0·83),且串串病害严重程度令人满意。因此,这项研究证实了葡萄育种者目前对叶片的早期生物测定方法的使用可确保在田间对令人满意的丛生霜霉病具有抗性水平。

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