CORRELATION AND REGRESSION ANALYSIS FOR YIELD & RELATED ATTRIBUTES IN F2 POPULATION OF BREAD WHEAT (Triticum aestivum L.) GENOTYPES

Payar Ali Shar; Jay Kumar; Sohail Ahmed Otho; Ayaz Ali Soomro; Adil Ali Gadahi; Ghulam Fareed; Wazir Ahmed Shar; Muhammad Bux Shar; Kashif Ali Buriro

doi:10.34016/pjbt.2024.21.02.883

Authors

Payar Ali Shar Department of Plant Breeding and Genetics, Sindh Agriculture University, Tandojam, Sindh, Pakistan
Jay Kumar Wheat Breeding Research Institute, Wheat Research Centre, Sakrand, Sindh, Pakistan
Sohail Ahmed Otho Department of Entomology, Faculty of Crop Protection, Sindh Agriculture University, Tandojam, Sindh, Pakistan
Ayaz Ali Soomro Department of Plant Breeding and Genetics, Subcampus Umerkot, Sindh Agriculture University, Tandojam, Sindh, Pakistan
Adil Ali Gadahi Department of Plant Breeding and Genetics, Sindh Agriculture University, Tandojam, Sindh, Pakistan
Ghulam Fareed Department of Agriculture, University College of Dera Murad Jamali Naseerabad, LUAWMS, Balochistan, Pakistan
Wazir Ahmed Shar Cotton Research Institute, Agriculture Research Centre, Tandojam, Sindh, Pakistan
Muhammad Bux Shar Statistics Section, Agriculture Research Centre, Tandojam, Sindh, Pakistan
Kashif Ali Buriro Department of Agronomy Sindh Agriculture University Tandojam

DOI:

https://doi.org/10.34016/pjbt.2024.21.02.883

Keywords:

Correlation, Regression, Wheat, Yield performance

Abstract

This research was carried out to study correlation & regression analysis in bread wheat at Southern Wheat and Barley Research Institute, Tandojam in RCBD with three replications. The results showed that most of the traits were significantly different at (P≤0.01) among the genotypes. Correlation analysis showed that spikelets per spike had a positive and highly significant association with biological yield per plan (r = 0.82^**). Among the F₂ crosses, days to 75% heading was significantly and positively associated with the grain yield (r = 0.80^**). The trait tillers per plant had a positive association of significance with grain yield per plant (r = 0.86^**) and biological yield per plant (g) (r = 0.84^**). Regression analysis showed that the contribution rate of plant height to the change of grain yield was 0.47%; although the contribution to the variation of grain yield per plant was 08.21%. Spike length and spikelets per spike contributed 51.99% and 57.02% to the variation of grain yield per spike. The same character, grain yield was also contributed by grains per spike and seed index with the change of 58.99% and 78.36%. Above mentioned studies have shown that seed index, tillers per plant and spike length can be used to increase the grain yield of wheat genotypes to develop wheat varieties.

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