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Principal Component and Path Analysis for Trait Selection Based on the Assessment of Diverse Lentil Populations Developed by Gamma-Irradiated Physical Mutation
Author(s) -
Sandip Debnath,
Abhik Sarkar,
Kahkashan Perveen,
Najat A. Bukhari,
Kavindra Kumar Kesari,
Amit Verma,
Nihar Ranjan Chakraborty,
Mulugeta Tesema
Publication year - 2022
Publication title -
biomed research international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 126
eISSN - 2314-6141
pISSN - 2314-6133
DOI - 10.1155/2022/9679181
Subject(s) - biology , mutation breeding , mutant , breeding program , trait , selection (genetic algorithm) , crop , principal component analysis , mutagenesis , quantitative trait locus , mutation , plant breeding , genetics , microbiology and biotechnology , path analysis (statistics) , agronomy , gene , cultivar , statistics , mathematics , artificial intelligence , computer science , programming language

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