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Evaluation and Identification of Stable Chickpea Lines for Yield-Contributing Traits from an Association Mapping Panel

Authors :
Philanim Wungmarong Shimray
C. Bharadwaj
B. S. Patil
S. Mukesh Sankar
Neeraj Kumar
Sneha Priya Pappula Reddy
Tripti Singhal
Venkatraman Hegde
Swarup K. Parida
Manish Roorkiwal
Rajeev K. Varshney
Preeti Verma
Source :
Agronomy, Vol 12, Iss 12, p 3115 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

An association mapping panel consisting of 380 genotypes of chickpea was evaluated for three different years, including 2014–2015, 2015–2016 and 2016–2017, for yield-contributing parameters, including the seed number and seed weight. The AMMI analysis presented mainly concentrated on the seed weight and seed number, which are the two most important yield-contributing traits. The genotypes contributed 93.08% of the total variance, while the interaction effect was comparatively low, with 4.1% for the two traits. AMMI biplot analysis identified IG5986, IG5982, ILC6025 and ICCV14307 as desirable genotypes for the seed weight and IG5893, ILC6891 and IG5856 for the seed number. Identifying stable genotypes would help in strategic planning for yield improvement through component trait breeding.

Details

Language :
English
ISSN :
20734395
Volume :
12
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Agronomy
Publication Type :
Academic Journal
Accession number :
edsdoj.5ca813e677c458e94d9a67fac75e97b
Document Type :
article
Full Text :
https://doi.org/10.3390/agronomy12123115