Assessment of genetic diversity of bread wheat (Triticum aestivum L.) genotypes through cluster and principal component analysis

Ankur Poudel; Dhruba Bahadur Thapa; Manoj Sapkota

Authors

Ankur Poudel Institute of Agriculture and Animal Science, Tribhuvan University, Lamjung, Nepal
Dhruba Bahadur Thapa Agriculture and Botany Division, Nepal Agriculture Research Council, Khumaltar, Lalitpur, Nepal
Manoj Sapkota International Maize and Wheat Improvement Centre (CIMMYT), Nepal

Keywords:

Cluster analysis, PCA, selection, Triticum aestivum, wheat

Abstract

Genetic variation of plants decides their potential for enhancement of the efficiency and consequently their utilization in breeding, which eventually may lead to increased food production. Diversity assessment can be performed through various process. This study was conducted with the aim to assess the variability of advanced wheat lines and identification as well as selection of superior genotypes with the help of different multivariate technique. 50 genotypes obtained from CIMMYT were used for study. Field experiment was conducted in Alpha Lattice design. Observation were taken for days to booting, days to heading, days to maturity, days to flag leaf senescence, thousand kernel weight, grain filling duration, flag leaf area, SPAD reading, number of grains per spike, grain weight per spike, plant height and grin yield. The present study confirmed that bread wheat genotypes showed wide amount of variations for the character studied and it also suggested that ample opportunities for genetic improvement of bead wheat genotypes through selection of superior genotypes. Selection of genotypes from Cluster 2 (Gautam andSOKOLL/ 3/ PASTOR// HXL7573/ 2*BAU/5/ CROC_1/AE.SQUARROSA(205)//BORL95/3/PRL/SARA//TSI/VEE#5/4/FRET2) would lead to selection of the superior genotypes and these genotypes can be considered of breeding operations as well as for further study for developing superior wheat genotypes.

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