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Vol. 11, Issue 12 (2022)

Studies of correlation and path analysis in normal and late sown condition in wheat genotypes (Triticum aestivum L.) for heat tolerance

Author(s):
Totewad Prashant, Umate Sunil, Kalpande Hirakant, Bhadarge Hiraman, Thakur Niranjan, Deshmukh Akshay, Patil Sudhir and Kadam Sandeep
Abstract:
The field experiment was conducted to study the “Morpho-physiological and biochemical studies for heat tolerance traits in wheat (Triticum aestivum L.) genotypes.” at the farm of Wheat and maize Research Unit, Vasantrao Naik Marathwada Agriculture University, Parbhani, during Rabi season of 2020-21 and 2021-22. Total 16 genotypes collected from Wheat and maize Research Unit, VNMAU, Parbhani was taken to conduct the experiment. Each treatment was replicated two times. The experiment was laid out in simple lattice design. The high temperature stress was induced by manipulation of sowing dates. Different morpho-physiological traits viz., tillers per meter row length, relative water content, membrane stability index, chlorophyll content, canopy temperature, and total dry matter production were found to be correlated with grain yield. These traits may be used in breeding programme for development of thermo tolerant genotypes for late condition under changing climatic scenario. Plant height at 90 days after sowing showed positive significant correlation with grain yield, number of tillers 45 DAS, Flag leaf area 60 DAS, chlorophyll content 15 DAA and chlorophyll content 21 DAA. The characters viz., leaf area, chlorophyll content 15 DAA, canopy temperature 15 DAA and canopy temperature 21 DAS showed high direct effect on grain yield per plant.
Pages: 299-305  |  160 Views  48 Downloads


The Pharma Innovation Journal
How to cite this article:
Totewad Prashant, Umate Sunil, Kalpande Hirakant, Bhadarge Hiraman, Thakur Niranjan, Deshmukh Akshay, Patil Sudhir, Kadam Sandeep. Studies of correlation and path analysis in normal and late sown condition in wheat genotypes (Triticum aestivum L.) for heat tolerance. Pharma Innovation 2022;11(12):299-305.

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