Screening of drought tolerant wheat (Triticum aestivum L.) genotypes using stress tolerance indices and principle component analysis
Paper Details
Screening of drought tolerant wheat (Triticum aestivum L.) genotypes using stress tolerance indices and principle component analysis
Abstract
As climate is changing and shortage of water resources takes place at alarming level wheat productivity is influenced at larger scale. Keeping this scenario in view, a field experiment was conducted at the experimental farm of Nuclear Institute of Agriculture (NIA), Tandojam, Pakistan, during Rabi season 2017-18. In this study, sixteen wheat genotypes were used to evaluate appropriate genotypes best suited to water stress based on stress selection indices. Statistically experiment was conducted in randomized complete block design (RCBD) with three replications. Seven stress tolerance indices i.e, Stress Tolerance Index (STI), Stress Susceptibility Index (SSI), Tolerance Index (TOL), Harmonic Mean Productivity (HMP), Geometric Mean Productivity (GMP), Mean Productivity (MP) and Yield Stability Index (YSI) were evaluated. Result showed that in first and second factors in principle component analysis (PCA) exhibited 99.7% of variability. Based on PCA analysis four genotypes (CIM-04-10, C7-98-4, C2-13-5c and C5-13-5b) were categorized as tolerant (T), four genotypes (C2-98-8, C3-13-6b, V2-10-3 and NIA-Sunhari) were classified as moderate-tolerant (MT), five genotypes (V2-10-5, C5-13-2b, V2-10-15, Kiran-95 and C5-13-4a) were considered as moderate-sensitive (MS) and remaining three genotypes (CIM-04-18, V3-10-9 and Chakwal) were identified as sensitive (S) genotypes against water stress conditions. Thus, the identified stress tolerant genotypes could be utilized for further breeding programs.
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Muzamil Hussain Memon, Saima Mir Arain, Shah Nawaz Mari, Wazir Ali Metilo, Syed Razaq Amin Shah, Ghulam Sarwer Channa (2019), Screening of drought tolerant wheat (Triticum aestivum L.) genotypes using stress tolerance indices and principle component analysis; IJB, V15, N3, September, P130-136
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