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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 9, Issue:6, June, 2020

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(6): 254-262
DOI: https://doi.org/10.20546/ijcmas.2020.906.032


Multivariate Approach to Identify Potential Varieties of Bread Wheat (Triticum aestivum L.) for Bundelkhand Region of Uttar Pradesh, India
Hitesh Kumar1*, Amit Kumar1* and Vikas Gupta2
1Department of Genetics and Plant Breeding, Banda University of Agriculture and Technology, Banda-210001, India
2Division of Crop Improvement, ICAR-Indian Institute of Wheat and Barley Research,
Karnal 132001, India
*Corresponding author
Abstract:

The study aims to evaluate the yield potential of 60 bread wheat varieties along with three mega-varieties. The experiment was laid down in an augmented design at Banda Agriculture University, Banda, U.P. during rabi 2017-18. The data was recorded on days to 75% heading, days to maturity, plant height and grain yield. The recorded observation were analysed to identify the best performing varieties. Analysis of variance exhibited highly significant differences (P<0.001) among the test varieties for all traits except days to maturity indicating the presence of variability in the experimental material. The highest variance was found for grain yield followed by plant height and 75% flowering while, it was recorded lowest for days to maturity. The less significant difference were found for days to maturity among all lines. The varieties HI 1544 (5773 kg/ha), PBW 621(5773 kg/ha), MP 1203 (5583 kg/ha), UP 2526 (5545 kg/ha) and UP 2554 (5545 kg/ha) recorded highest grain yield. UP 2382 was early matured variety (109 days) among all tested varieties. The PCA and biplot analysis was also undertaken to understand the comparative performance of genotypes in terms of their yield and contributing traits. The first two PCs contributed 79.37% of total variance with 42.03 (PC1) and 37.35 (PC2) eigenvalues. The PC1 and PC2 were significantly influenced by days to 75% heading and seed yield.


Keywords: Bread wheat, yield potential, genetic variability, principal components

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How to cite this article:

Hitesh Kumar, Amit Kumar and Vikas Gupta. 2020. Multivariate Approach to Identify Potential Varieties of Bread Wheat (Triticum aestivum L.) for Bundelkhand Region of Uttar Pradesh, India.Int.J.Curr.Microbiol.App.Sci. 9(6): 254-262. doi: https://doi.org/10.20546/ijcmas.2020.906.032
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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