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首页> 外文期刊>Potato Research >Disease progress curve parameters help to characterise the types of resistance to late blight segregating in cultivated potato.
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Disease progress curve parameters help to characterise the types of resistance to late blight segregating in cultivated potato.

机译:疾病进展曲线参数有助于表征栽培马铃薯对晚疫病隔离的抗性类型。

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To decrease the environmental impact of treatments against late blight caused by Phytophthora infestans on potato, plant genetic resistance is a keystone in developing new culture strategies. Nonspecific resistance to late blight is a complex trait which is difficult to evaluate, while selection is both difficult and time consuming. However, we consider it is important to select for this type of resistance as it is a promising way to achieve durable resistance. In this study, parameters derived from disease progress curves (DPCs) were used to characterise the types of resistance among individuals of three tetraploid full-sib families named G1, B2, and K2. These families were composed of 280 (G1), 280 (B2), and 150 (K2) genotypes. Our aim was to avoid visual inspection of 5,710 DPCs and to identify genotypes exhibiting stable resistance. We used three parameters: the slope of the DPC, the date of appearance of the first symptoms in the tested genotypes compared with a susceptible standard, and the relative area under the disease progress curve (rAUDPC). Using an appropriate threshold for each parameter, we demonstrated that it is possible to classify the response of each genotype in one of the following categories: susceptible, non-specific resistance, specific resistance, non-specific resistance plus specific resistance (or specific resistance not overcome). Data were obtained each year from 2005 to 2007 under conditions of natural infection. According to the parameters analysed, non-specific resistance and specific resistance segregated in the families. The year effect was more than double the family effect for rAUDPC. Empirical adjustment of threshold values in a subsample of the tested genotypes led to an increase in the effectiveness of our classification method. Calculated classification enabled detection of stable genotypes in each family. The impact of the year effect differed with the family. In the G1 family, the distribution of genotypes in each category was relatively stable over the 3 years, whereas in K2, the proportion of genotypes demonstrating specific resistance alone increased, particularly in 2007. In the B2 family, the proportion of genotypes in the non-specific resistance category decreased from 40% to 15% from 2005 to 2006, and then remained stable in 2007. The heritabilities of the parameters ranged from 61% to 96% depending on the family and on the parameter concerned.
机译:为了减少马铃薯疫霉菌对马铃薯晚疫病造成的晚疫病处理对环境的影响,植物遗传抗性是制定新的栽培策略的关键。对晚疫病的非特异性抗性是一个复杂的特征,难以评估,而选择既困难又费时。但是,我们认为选择这种类型的电阻很重要,因为这是实现持久电阻的一种有前途的方法。在这项研究中,使用源自疾病进展曲线(DPC)的参数来表征三个四倍体全同胞家族G1,B2和K2的个体之间的抗药性类型。这些家族由280(G1),280(B2)和150(K2)基因型组成。我们的目标是避免肉眼检查5,710枚DPC,并确定表现出稳定抗性的基因型。我们使用了三个参数:DPC的斜率,与易感标准品相比被测基因型中第一个症状出现的日期以及疾病进展曲线下的相对面积(rAUDPC)。通过为每个参数使用合适的阈值,我们证明可以将每种基因型的响应归为以下类别之一:易感,非特异性抗性,特异性抗性,非特异性抗性加特异性抗性(或非特异性抗性)克服)。在自然感染的条件下,从2005年至2007年每年获取数据。根据分析的参数,非特异性抗性和特异性抗性在科中分离。年效应是rAUDPC的家庭效应的两倍以上。对被测基因型子样本中阈值的经验调整导致我们分类方法有效性的提高。计算分类可以检测每个家庭中稳定的基因型。年效应的影响因家庭而异。在G1家族中,每个类别中基因型的分布在过去三年中相对稳定,而在K2中,仅表现出特定抗性的基因型的比例有所增加,特别是在2007年。从2005年到2006年,特异性抗性类别从40%下降到15%,然后在2007年保持稳定。根据家族和相关参数,参数的遗传力范围从61%到96%。

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