ISSN

2277 - 3282

e ISSN

2277 - 3290

Publisher

Journal of Science

MULTIVARIATE ANALYSIS FOR MORPHOLOGICAL DIVERSITY OF BREAD WHEAT (TRITICUMAESTIVUM L.) GERMPLASM LINES IN KASHMIR VALLEY
Author / Afflication
M.A. Khan

Division of Genetics & Plant Breeding,Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura campus, Sopore-193201, Jammu and Kashmir, India
Azra Anjum

Division of Genetics & Plant Breeding,Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura campus, Sopore-193201, Jammu and Kashmir, India
M.A. Bhat

Division of Statistics, Economics & Extension, Faculty of Agriculture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura campus, Sopore-193201, Jammu and Kashmir, India.
B.A. Padder

Division of Plant Pathology, Faculty of Horticulture, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Jammu and Kashmir, Shalimar campus, Srinagar-190025, India.
Z.A. Mir

Division of Genetics & Plant Breeding,Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura campus, Sopore-193201, Jammu and Kashmir, India
Kamaluddin

Division of Genetics & Plant Breeding,Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Wadura campus, Sopore-193201, Jammu and Kashmir, India
Keywords
Genetic diversity analysis , Cluster mean analysis ,Wheat ,
Abstract

Bread wheat (Triticum aestivum L.) germplasm lines were subjected to multivariate analysis for five agromorphological traits using augmented experimental design. The germplasm lines formed four clusters based on the estimates of genetic diversity using Un-weighted Pair Group Method with Arithmetic mean (UPGMA) algorithm. On the basis of their greater intercluster distance, high value of cluster mean according to the character to be improved and performance of the individual germplasm for the character, the germplasm could be used in hybridization programme for improvement of different plant characters. From principal component analysis (PCA) the first three principal components explained 83.60% of the total variation, suggesting that traits such as plant height, days to flowering and maturity and grain yield are the principal discriminatory traits in the germplasm. The diverse parents from various clusters are helpful in planning and broadening the breeding programme by planning the crosses and increased use of heterosis and genetic diversity especially for grain yield in our country. It is concluded that the genetic variation existing in the germplasm set can efficiently be utilized in genetic improvement of bread wheat.

Volume / Issue / Year

5 , 6 , 2015

Starting Page No / Endling Page No

372 - 376