Open AccessCharacterization of the Genetic Variability in Rice (Oryza sativa L.) and its Assessment Using Principal Component Analysis (PCA)
Author(s) -
Mudavath Ramesh Naik,
C. P. Chetariya,
Jeevan Sai Akkenapally
Publication year - 2022
Publication title -
international journal of environment and climate change
Language(s) - English
Resource type - Journals
ISSN - 2581-8627
DOI - 10.9734/ijecc/2022/v12i1030923
Subject(s) - heritability , panicle , principal component analysis , path coefficient , biology , genetic divergence , oryza sativa , genetic variability , coefficient of variation , path analysis (statistics) , selection (genetic algorithm) , veterinary medicine , genetic variation , horticulture , genotype , agronomy , genetic diversity , mathematics , statistics , genetics , medicine , population , environmental health , artificial intelligence , gene , computer science