Application of cluster analysis and principal component analysis in vine selection
2007
Rojchev, V. | Dimova, D. | Bozhinov, B.
Cluster analysis in combination with Principal Component Analysis (PCA) was used to characterize the F1 progeny of the Super Early Bolgar х Kishmish Hyshrau cross. Twenty two characteristics of 30 individual plants were used for clustering and the resulting grouping was explained by PCA. The total number of fruiting braches, coefficient of fertility, total number of branches and yield were found to explain 28.7% of the total variability. Based on the analyses performed plants No. No. 6, 9, 20 and 21 were found to be most promising for initiating further crosses.
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Эту запись предоставил Institute of Agricultural Economics