Record Details

MULTIVARIATE ASSESSMENT OF YIELD AND ITS COMPONENTS IN OKRA [Abelmoschus esculentus (L.) Moench] GENOTYPES

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title MULTIVARIATE ASSESSMENT OF YIELD AND ITS COMPONENTS IN OKRA [Abelmoschus esculentus (L.) Moench] GENOTYPES
 
Creator Mahesh Badiger,
P Gangadhara Rao,
M Pitchaimuthu,
K M Indiresh and
H B Lingaiah
 
Subject okra, multivariant assessment, yield
 
Description Not Available
Okra [Abelmoschus esculentus (L.) Moench] is a valuable
vegetable in many regions of the world, especially in
the tropics and sub-tropics. It is not only a nutrient-rich
vegetable but also an important medicinal herb (Yuan et
al., 2014). Although India is the largest producer of okra
with 6.35 million tonnes production (72.9% of total world
production) from 0.53 million hectare area (Anonymous,
2015), its productivity potential is low. A major constraint in
okra productivity is the low genetic potential of the present
okra varieties.
Improvement of okra requires a broad spectrum of
genetic variability from which useful characters can be
selected for developing broad-based populations to be used in
hybridization programme (Lester et al., 1990; Hammond and
Charrier, 1983). Genetic distance estimates form the basis for
selecting parental combinations. Genetic distance estimates
for population can be estimated by different methods. One
of the approaches is to apply multivariate analysis as it has
extensive use in summarizing and describing the inherent
variation among crop genotypes. Multivariate statistical tools
include Mahalanobis D2 analysis, cluster analysis, principal
component analysis (PCA) and discriminate analysis
(Oyelola, 2004). Mahalanobis D2 multivariate analysis
(Mahalanobis, 1936) for obtaining quantitative estimates
of genetic divergence and Tocher’s method for grouping of
different genotypes of a particular crop are more valuable
tools in choosing suitable parents for heterosis breeding. PCA
can be used to uncover similarities between variables and
classify the genotypes. With this backdrop, an attempt was
made in the present study to assess the nature and magnitude
of genetic divergence of some okra genotypes consisting of
advanced breeding elite lines developed at Indian Institute
of Horticultural Research (IIHR), Bangalore using various
multivariate analysis tools.
Not Available
 
Date 2019-04-24T08:08:19Z
2019-04-24T08:08:19Z
2018-03-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/18827