Applying principal component and clustering analysis in studying N-use parameters among Egyptian wheat genotypes [electronic resource].

Includes reference.

This study aimed to conclude the important components associated with the explained genotypic variation among Egyptian wheat genotypes and to estabilish particularity of each genotype with regard to N use parameters, under urea and nitrate supply treatments. The principal components analysis (PCA) indicated that the first four components accounted for more than 93% of the total variance over all studied traits under both treatments. While the first PC accounted for about 38% and 58% for urea and nitrate treatments, respectively. N uptake efficiency and N productivity were the major contributors to genetic divergence among urea and nitrate supply treatments, respectively, reflecting the varied genetic architecture of wheat genotypes under both treatments. The second principal component axis, PC2, separated the common parent "Sakha 8" and its F₁ hybrids "Sakha 8 x Sids 7" and "Sakha 8 x Giza 168" than the other parents and hybrids under urea supply treatments, while under nitrate treatment the PC2 separated the common parent Sakha 8 than its F₁ hybrids. Based on the extent of the relative dissimilarities between the studied genotypes, the five parents and the six F₁ hybrids were grouped into five and three clusters under urea and nitrate supply treatments, respectively. Results of PC and clustering analyses appeared to be in complete accordance. Cluster analysis could efficiently describe the characteristics of groups of genotypes; however the components analysis gave a special representation of each axis. Both the PC and cluster analysis gave a sensible and useful integration of the data.

Summary in Arabic.

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