Performance of clustering procedures for grouping germplasms based on mixture data with missing observations

Occurrence of missing observations in mixture of qualitative and quantitative trait data is a common feature in breeding experiments. However, it becomes difficult to cluster the germplasms in presence of missing data. In the present study, five different clustering methods, six different ways of i...

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Bibliographic Details
Main Authors: RUPAM KUMAR SARKAR, A R RAO, S D WAHI, K V BHAT
Format: Article
Language:English
Published: Indian Council of Agricultural Research 2023-12-01
Series:The Indian Journal of Agricultural Sciences
Subjects:
Online Access:https://epubs.icar.org.in/index.php/IJAgS/article/view/26254