Vol. 7, Issue 4 (2019)
Multivariate analysis in bread wheat genotypes grown under late sown condition
Author(s): Soham Hazra, Shayree Chatterjee, V Umesh Kumar, Subhra Mukherjee and Anirban Maji
Abstract: Bread wheat (Triticum aestivum L.) is considered as one of the most important cereal crops and fundamental of human cultivation over the globe. The crop contributes about 20% of the world dietary calories and proteins worldwide. The crop has versatility to grow in diverse range of environments from temperate, sub-tropical to humid regions to the warmer areas of India. In West Bengal, wheat is mainly cultivated as late sown crop due to prolong rainy season, excess soil moisture and delayed paddy harvesting. Study of genetic diversity is one of the potent techniques to identify diverse genotype for future breeding programme. The present investigation aimed at evaluating 24 wheat genotypes to determine the genetic diversity through multivariate analysis. D2 analysis revealed all 24 genotypes were grouped into seven different clusters. Cluster I had maximum (9 genotypes) whereas Cluster VII was monotypic. Highest inter-cluster distance was observed between Cluster II and Cluster V (57.62) followed by Cluster I and Cluster V (56.38) Cluster IV and Cluster V (54.84). The grouping pattern suggested that selection of the genotypes between Cluster V & any other genotypes selected from Cluster I, II, III and & IV might be intercrossed to recover desirable segregants. The investigation also suggested seven characters namely plant height, tillers per sq.mt, grains per spike, Chl b, biomass, harvest index and economic yield contributed maximum towards total divergence. The principal component analysis revealed that the first principal component explained variation of 34.93% followed by PC II (23.52%), PC III (15.08%) and PC IV (13.51%). When all the four components were altogether considered, sum total of 87.04% variation was explained. The principal component analysis also revealed wide diversity present among the experimental materials.
Pages: 2549-2552 | 266 Views 98 Downloads
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How to cite this article:
Soham Hazra, Shayree Chatterjee, V Umesh Kumar, Subhra Mukherjee, Anirban Maji. Multivariate analysis in bread wheat genotypes grown under late sown condition. Int J Chem Stud 2019;7(4):2549-2552.
