Abstract

Aim: The aim of this study was to assess the extent of clustering and identifypromising bread wheat genotypes for further breeding.

Materials and Methods: A total of 100 bread wheat genotypes were evaluated in alpha-lattice design with two replications in the 2022 main cropping season at Liban Jawi District, West Shewa, Ethiopia.

Results: Cluster I was the largest cluster, which consisted of 51 bread wheat genotypes (51%) followed by cluster IV. The maximum distance was observed between cluster II and cluster V (176.39), whereas the shortest distance was found  between cluster III  and clusterIV(39.2). Principal component analysisrevealed that the first five principal components with Eigen values greater than one accounted   for 76% of the total variation among 100 bread wheat genotypes. Based on the present investigation among genotypes; genotypes viz 31790 (58.93 qt/ha), EBW192299 (57.97 qt/ha), 33682 (56.51 qt/ha) 34737 (55.38 qt/ha and Acc. 34159 (52.51 qt/ha) were identified as high yielders compared to another tested genotypes.

Conclusion: It was concluded that genotypes namely; 31790 (58.93 qt/ha), EBW192299 (57.97 qt/ha), 33682 (56.51 qt/ha), 34737 (55.38 qt/ha) and 34159 (52.51 qt/ha) were identified as high yielders genotypes compared to other tested genotypes.

Statistics