Salt stress is a major threat for growth and development of wheat crop. Screening technique for salinity tolerance is an effective tool to identify tolerant cultivar and high yielding wheat genotypes. Present study was carried out to screen twenty wheat genotypes under laboratory terms utilizing various growth and physiological indices like plant fresh weight stress indices (PFSI), plant height stress tolerance index (PHSI), shoot length stress tolerance index (SLSI), germination stress tolerance index (GSI), plant dry weight stress indices (PDSI), root length stress tolerance index (RLSI), relative water content (RWC). Multivariate techniques like cluster analysis and correlation were used to analyze the variance between wheat genotypes. The correlations analysis indicated significant among different physiological indices like GSI, SLSI, RLSI, PFSI, PDSI and RWC. On the basis of cluster analysis 20 wheat genotypes were classified into three clusters: first cluster included (The genotype WL-711 was the premier scorer followed by Nifa Bathoor, ARRI-II and Millat-11) presents sufficient salt tolerating degree, on the other hand, cluster-2 is comprised of wheat genotypes (Inqilab-91, NIAB-09, Punjab-96, Sehar-2006, Tatara, AS-2002, SA-75, Lasani-09, FSD-08 and Galaxy-13) with medium level of salt tolerance and cluster-3 included genotypes (LU-26-S, Fakhar e Sarhad, Bakhtawar, Punjab-11, Barsat and Kohistan-97) did not perform upto the mark and have lower level of salt tolerance. Correlation analysis among different screening techniques indicated that physiological indices exhibited highly significant and positive correlations among GSI, PHSI, SLSI, PDSI, PFSI, and RWC while non-significant correlation existed among PDSI and RLSI. The correlation between PFSI and RWC was significant. Significant correlations between cluster analysis and different indices also proved that salt tolerant wheat genotypes screened.
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