Global Advanced Research Journal of Agricultural Science (GARJAS) ISSN: 2315-5094
April 2016 Vol. 5(4): pp. 132-140
Copyright © 2016 Global Advanced Research Journals

 

Full Length Research Paper

Assessment of Drought Tolerance in Spring Wheat (Triticum Aestivum L.) At Different Growth Stages under the Rainfed Conditions of Rawalakot Azad Kashmir Pakistan

Sumaira Hafeez 1,2, Liu Zhangyong 1,2, Jin Tao*1,2, Shahid Iqbal Awan3, Irshad Ahmad4, Toheed Anwar1,2, Rahat Sharif1,2, Ntambo Mbuya Sylvain1,2 and Consolatha Chambi2

 

1Hubei Collaborative Innovation Center for Grain Industry

2 Engnieering Research of Ecology and Agricultural Uses of Wetlands (China Ministry of Education), Yangtze   University Jingzhou, Hubei P.R. China

3Department of Plant Breeding & Molecular Genetics, The University of Poonch Rawalakot, Pakistan 4Yangzhou University, College of Agriculture, Jiangsu P.R China

Email: jintao19790512@hotmail.com

Accepted 04 April, 2016

 

Abstract

Twenty wheat genotypes were sown in field conditions to assess the variability for drought tolerance at various growth stages under the rainfed conditions of Rawalakot Azad Kashmir Pakistan. A multivariate approach including correlation, factor, cluster and principle component analysis was used to quantify the amount of variability among the genotypes. Correlation analysis showed that grain yield was positively correlated with plant height. Days to 50% heading showed positive correlation with drought traits like residual transpiration and relative water content. Principle component analysis showed that seven factors contributed 82.66% of the total variability with the Eigen value greater than 1. Cluster analysis grouped 20 genotypes into six clusters. Cluster 1,4 and 5 consist of 3 genotypes, cluster 2 contained 7 while cluster 3 and 6 had 2 genotypes. Cluster 1 genotype showed highest value of grain yield while cluster 4 genotype showed drought tolerant trait like high relative water content. Less residual transpiration was shown in cluster 2 genotype. Cluster 4 and cluster 2 genotypes will be used for further breeding programs.

Keywords: Wheat, Drought, Multivariate Analysis, Morpho-physiological traits, Correlation.


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Sumaira Hafeez on Google Scholar
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Liu Zhangyong on Google Scholar
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Jin Tao* on Google Scholar
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Shahid Iqbal Awan on Google Scholar
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Irshad Ahmad on Google Scholar
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Toheed Anwar on Google Scholar
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