Open AccessPERFORMANCE EVALUATION AND VARIABILITY ANALYSIS FOR MAJOR GROWTH AND FLOWERING TRAITS OF Lilium longiflorum THUNB. GENOTYPES
Author(s) -
Rameshwar Rai,
Jong Hwa Kim
Publication year - 2021
Publication title -
journal of experimental biology and agricultural sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.108
H-Index - 2
ISSN - 2320-8694
DOI - 10.18006/2021.9(4).439.444
Subject(s) - heritability , biology , randomized block design , lilium , coefficient of variation , genotype , genetic variation , selection (genetic algorithm) , horticulture , plant breeding , microbiology and biotechnology , genetics , statistics , gene , mathematics , artificial intelligence , computer science
The performance evaluation and variability estimation are some of the most important basic steps in any breeding scheme and are usually taken as a pre-breeding task. This experiment was carried out to evaluate the performance and estimate the variability for major growth and flowering traits of Sixteen Lilium longiflorum Thunb genotypes in a randomized complete block design (RCBD) with three replications. The estimated analysis of variance (ANOVA) demonstrated prevailing significant variability for studied ten growth and flowering traits of all 16 genotypes. The experiment was conducted to quantify the genetic variability, heritability, and genetic advance as a percentage of the mean (GAM), for understanding the breeding potentiality of L. longiflorum genotypes based on their performance for growth and flowering traits, so that pre-breeding scheme could be executed properly. The estimated genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) value, along with heritability estimate and GAM, revealed that almost all studied traits besides flower diameter were controlled by additive gene action. For these traits, improvement would be possible through the selection after cross-breeding among these genotypes. The choice of genotypes for the hybridization scheme could be made based on the mean performance of those genotypes for the particular traits of the breeding scheme.