Electronic Journal of Plant Breeding
Open Access
SCOPUS
  • Year: 2020
  • Volume: 11
  • Issue: 3

Genetic diversity analysis in bread weat (Triticum aestivum L.) under Gangetic Alluvium Zone of West Bengal

  • Author:
  • Tatini Tapaswini1, Nitesh Kumar2*, Subhra Mukherjee3, Prabir Kumar Bhattacharyya3, Anirban Maji3
  • Total Page Count: 6
  • Page Number: 749 to 754

1Assistant Agriculture Officer, Jajpur, Department of Agriculture, Government of Orissa.

2Research Scholar, Department of Genetics and Plant Breeding

3Department of Genetics and Plant Breeding, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, West Bengal741252, India.

*E-Mail: niteshkumar310@gmail.com

Online published on 17 October, 2020.

Abstract

Forty-nine genotypes of bread wheat (Triticum aestivum L.) were screened at District farm, AB Block, B.C.K.V., Kalyani, Nadia, West Bengal during Rabi season for two years, i.e. 2015-2016 and 2018-2019 following Randomized Block Design with two replications to study genetic diversity following the Mahalanobis D2 statistics and principal component analysis. The highest contribution towards total divergence was yield plant−1 followed by the number of grains spike−1, plant height, weight of grains spike−1 and the test weight. The maximum inter-cluster distance was observed between cluster IX and I (86.392), followed by clusters VIII and IX (82.829) indicating that the genotypes being represented in these clusters were distantly related. Therefore, any two genotypes selected from these two clusters may be utilized in crossing programs to synthesis potential high yielding genotypes. Principal component analysis (PCA) extracted 5 principal components explaining 80% to genetic variation. The PCA suggested that the genotypes are highly diverse.

Keywords

Bread wheat, Cluster analysis, Genetic diversity analysis, Principle component analysis, Yield