PJB-2017-351
Assessment of Pakistani and Iranian bread wheat landraces using multivariate analysis for grain yield
Sumaira Salah-Ud-Din Lodhi, Peter John, Hadi Ali Pour, Mohammad Reza Bihamta, Seyed Ali Peyghambari, Abdul Mujeeb Kazi and Alvina Gul
Abstract
The cereal crops depend, in their production sustainability, on germplasm improvement and genetic diversity. The role of multivariate techniques is vital in classification of germplasm as well as studying the interrelationship between grain yield and its various components. Germplasm consisting of 192 Iranian and 202 Pakistani wheat landraces from different regions of Pakistan and Iran were evaluated for six quantitative traits, through simple correlation, stepwise regression, path coefficient analysis, cluster analysis and factor analysis. The results showed that grain yield in Pakistani wheat landraces has most commonly been affected by two traits, i.e., spike weight and 1000-grain weight. Similarly, for Iranian wheat landraces, spike weight, 1000-grain weight and number of grains/spike are the prominently influencing morpho-physiological traits affecting the yield. These variables will be helpful in the selection of suitable genotypes for wheat improvement programs to get high yielding genotypes. Cluster analysis divided the Pakistani and Iranian wheat landraces into four and three groups respectively. Principal component analysis confirmed the results of the cluster analysis. Iranian landraces were clearly separated into three groups. High genetic diversity among landraces is eligible to be used in future crosses to produce segregating populations.
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