Principal Component Analysis (PCA) is a multivariate statistical technique widely used in plant breeding to analyse and simplify complex datasets involving multiple traits. It converts correlated variables into a smaller set of uncorrelated variables called principal components,...
Open access
Research Article10.9734/jabb/2026/v29i53939
A field experiment was conducted for estimate the genetic variability and trait association for yield and yield attributing characters among eighteen genotypes of cowpea [Vigna unguiculata (L.) Walp] in a Randomized Complete Block Design (RCBD) with three replications at Research...
Open access
Research Article10.9734/ijpss/2025/v37i85643
Genetic divergence among genotypes can be measured using Mahalanobis D² statistics, which are widely used to classify genotypes into clusters based on multivariate traits. The present investigation was carried out during the kharif season of 2023 at the Instructional Research Far...
Open access
Research Article10.9734/ijpss/2026/v38i76173
Life forms and their health status are highly dependent on the surrounding environment especially on the air quality as air and its constituents are the basic requirements for life sustenance on earth. Booming population and their dependency on machineries such as vehicles for th...
Open access
Research Article10.9734/cjast/2021/v40i1131369