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Selection of parents for crossing based on genotyping and phenotyping for stripe rust (Puccinia striiformis) resistance and agronomic traits in bread wheat breeding

机译:基于基因型和表型的杂交小麦亲本抗条锈(Puccinia striiformis)抗性和农艺性状的选育

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摘要

Bread wheat (Triticum aestivum L.) germplasm consisting of 45 genotypes were clustered phenotypically using ten morphological traits and Area Under Disease Progress Curve (AUDPC) as measure of stripe rust resistance. The clustering was ratified by using twenty three molecular markers (SSR, EST and STS) linked to stripe rust (Puccinia striiformis f. sp. tritici) resistant QTLs. The aim was to asses the extent of genetic variability among the genotypes in order to select the parents for crossing between the resistant and susceptible genotypes with respect to stripe rust. The Euclidian dissimilarity values resulted from phenotypic data regarding morphological traits and AUDPC were used to construct a dendrogram for clustering the accessions. Using un-weighted pair group method with arithmetic means, another dendrogram resulted from the similarity coefficient values was used to distinguish the genotypes with respect to stripe rust. Clustering based on phenotypic data produced two major groups and five clusters (with Euclidian dissimilarity ranging from 2.44 to 16.16) whereas genotypic data yielded two major groups and four clusters (with percent similarity coefficient values ranging from 0.1 to 46.0) to separate the gene pool into highly resistant, resistant, moderately resistant, moderately susceptible and susceptible genotypes. With few exceptions, the outcome of both type of clustering was almost similar and resistant as well as susceptible genotypes came in the same clusters of molecular genotyping as yielded by phenotypic clustering. As a result seven genotypes (Bakhtawar-92, Frontana, Saleem 2000, Tatara, Inqilab-91, Fakhre Sarhad and Karwan) of diverse genetic background were selected for pyramiding stripe rust resistant genes as well as some other agronomic traits after hybridization.
机译:利用十个形态特征和疾病进展曲线下面积(AUDPC)作为抗条锈性的度量,从表型上将由45个基因型组成的面包小麦(Triticum aestivum L.)种质进行表型聚类。通过使用与抗条锈病(Puccinia striiformis f。sp。tritici)的QTL连锁的二十三个分子标记(SSR,EST和STS)批准聚类。目的是评估基因型之间遗传变异的程度,以便选择亲本在条纹锈病的抗性和易感基因型之间进行杂交。由有关形态性状的表型数据产生的欧几里得相异值,并使用AUDPC来构建树状图以对这些种质进行聚类。使用具有算术平均值的非加权成对分组法,使用由相似系数值得出的另一个树状图来区分条锈病的基因型。基于表型数据的聚类产生两个主要组和五个聚类(欧几里得相异性在2.44至16.16之间),而基因型数据则产生两个主要组和四个聚类(相似性系数百分比值在0.1至46.0之间)以将基因库分为高抗性,抗性,中度抗性,中度易感和易感基因型。除少数例外,这两种类型的聚类结果几乎相似且具有抗药性,并且易感基因型与表型聚类产生的分子基因分型相同。结果,选择了具有不同遗传背景的七个基因型(Bakhtawar-92,Frontana,Saleem 2000,Tatara,Inqilab-91,Fakhre Sarhad和Karwan)来杂交条纹抗锈基因以及杂交后的其他一些农艺性状。

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