Open AccessAssessment of Genetic Diversity using D2 Statistics in Chickpea (Cicer arietinum L.) under Late Sown Conditions
Author(s) -
Velugoti Priyanka Reddy,
Gaibriyal M. Lal,
Subhadra Pattanayak,
Jakkam Mahipal Reddy
Publication year - 2021
Publication title -
international journal of plant and soil science
Language(s) - English
Resource type - Journals
ISSN - 2320-7035
DOI - 10.9734/ijpss/2021/v33i1330494
Subject(s) - germplasm , biology , genetic diversity , agriculture , genetic divergence , selection (genetic algorithm) , divergence (linguistics) , agronomy , genetic variability , veterinary medicine , microbiology and biotechnology , statistics , genotype , mathematics , demography , ecology , genetics , sociology , medicine , gene , population , linguistics , philosophy , artificial intelligence , computer science
An experiment was conducted during Rabi, 2019-20 at Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj (Allahabad) consisting of 36 chickpea genotypes obtained from ICAR-Indian Institute of Pulses Research, Kanpur, U.P in RBD with three replications. The data was recorded on 13 traits to study the genetic divergence. Analysis of variance revealed that there was considerable genetic variability in the available germplasm for all the characters studied. Divergence analysis revealed that highest inter cluster distance (1505.25) was found between clusters I and V indicates that there is ample scope for selection of better parents.