PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

 

e-ISSN 2231-8542
ISSN 1511-3701

Home / Regular Issue / JTAS Vol. 41 (3) Aug. 2018 / JTAS-1101-2017

 

Evaluation of Agronomic Traits of Wheat Genotypes under Different Irrigation Regimes

Babak Hooshmandi and Ebrahim Khalilvand Behrouzyar

Pertanika Journal of Tropical Agricultural Science, Volume 41, Issue 3, August 2018

Keywords: Cluster analysis, water regimes, wheat genotypes, yield

Published on: 30 Aug 2018

Wheat is one of the important cereal crops in the world and is the main staple food for many. Among the different environmental stresses, drought is the most critical threatening wheat productivity worldwide. This study evaluated and classified morphological and physiological characteristics of wheat genotypes in two non-stress and drought-stress conditions. A field study was conducted at the Research Station of Agricultural Faculty of Islamic Azad University of Tabriz, Iran between 2012 and 2013. Thirty wheat genotypes with six replications were sown in a randomised complete block design. As indicated in the results analysis of variance, the studied genotypes were genetically different in all characteristics. The grain yield had positive correlation with straw yield, harvest index, and biological yield Based on factor analysis, in the non-stressed condition, the first factor was referred to as yield, and in the stressed condition, the first factor was called yield components. To classify genotypes, cluster analysis was performed on the Ward method. The results of the analysis were divided into three groups in non-stressed experiment genotypes while in stress experiment genotypes, they were divided into four groups. Considering the cluster analysis, the first group was presented as the optimal one in the non-stress condition. The results indicated that in order to obtain the desirable grain yield, we can increase most of the traits with positive and significant correlations with the yield.

ISSN 1511-3701

e-ISSN 2231-8542

Article ID

JTAS-1101-2017

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