Document Type : Research Paper
Authors
1
PhD Student in Plant Breeding, Department of Plant Production and Genetics, Faculty of Agriculture, Urmia University, Urmia, Iran
2
Professor, Department of Plant Production and Genetics, Faculty of Agriculture and Natural Resources, Urmia University
10.22059/ijfcs.2023.365669.655031
Abstract
Considering the speed of environmental changes and the extent of the data obtained from breeding evaluations, the need to use fast and reliable data analysis methods is more than important. Biplot graphical methods, by providing the possibility of quick, comprehensive and accurate analysis of information; along with easy interpretation of the results, provide great helps to advance of breeding programs. A number of 100 oilseed sunflower genotypes were evaluated in terms of plant height, number of leaves, leaf length, leaf width, petiole length, stem diameter, chlorophyll content, days to flowering, days to maturity, head diameter, relative water content, seed oil percentage, and seed yield in the form of simple 10 x 10 lattice design under normal and limited irrigation conditions during 2012 and 2013. To identify the superior genotypes in each of irrigation conditions, the genotype-trait biplot analysis method was used. Under both irrigation conditions, a high correlation was observed between the traits including leaf length, leaf width, stem diameter, head diameter, seed oil percentage and petiole length with seed yield. In terms of all studied traits under both irrigation conditions, genotype with code number of 8 was the best and genotypes with code number of 59, 42 and 72 and genotypes with code number of 19, 59 and 17 were the worst genotypes under normal and drought stress conditions, respectively. Based on the results, the traits including stem diameter and head diameter can be used as indirect indicators for seed yield improvement under normal and drought stress conditions, respectively.
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