Stability analysis in greengram [Vigna radiata (L.) Wilczek]
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Date
2007
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ACHARYA N.G. RANGA AGRICULTURAL UNIVERSITY, RAJENDRANAGAR, HYDERABAD
Abstract
The present study was conducted during rabi, 2006 at the Agricultural
Research Station, Madhira with 12 genotypes of greengram [Vigna radiata (L.)
Wilczek] over six environments, to study the genotype-environment
interaction, the association between yield and its component traits and direct
and indirect effects of different component traits on seed yield per plant.
The analysis of variance revealed significant differences among the
genotypes for days to 50% flowering, days to maturity, plant height (cm),
number of primary branches per plant, number of clusters per plant, number of
pods per plant, number of seeds per pod, 1000 seed weight (g), protein content
(%) and seed yield per plant (g), in all the environments indicating the
existence of high variability among genotypes for all the characters studied.
Name of the Author : KOTTAPALLI PRATAP
Title of the Thesis : “Stability analysis in greengram
[Vigna radiata (L.) Wilczek]”
Degree to which it is
submitted
: Master of Science in Agriculture
Faculty : Agriculture
Department : Genetics and Plant Breeding
Major Advisor : Sri. A. SUDARSHANAM
University : Acharya N.G. Ranga Agricultural
University
Year of submission : 2007
Environment-wise character association studies revealed that selection
can be practiced for plant height, number of primary branches per plant,
number of clusters per plant, number of pods per plant and number of seeds per
pod to bring improvement in seed yield per plant in all the environments.
Environment-wise path coefficient analysis indicated high direct effect
of number of pods per plant on seed yield per plant coupled with high positive
correlation suggesting that greater emphasis should be placed on this trait for
improving the seed yield per plant in greengram.
The analysis of variance (Eberhart & Russell, 1966) revealed
significance of mean sum of squares due to genotypes for all the characters
studied except 1000 seed weight (it showed significance when tested against
pooled error only) when tested against both pooled error and pooled deviation.
The mean sum of squares due to environment was highly significant for all
characters except days to 50% flowering, days to maturity and seeds per pod
when tested against both pooled error and pooled deviation. The genotype ×
environment interaction was significant only for number of pods per plant
(when tested against both pooled error and pooled deviation) and 1000 seed
weight (it showed significance when tested against pooled error only). While
linear component of G×E interaction was significant for plant height, number
of primary branches per plant, number of pods per plant, seed yield per plant
and protein content when tested against both pooled error and pooled deviation.
The nonlinear component of interaction was predominant for all characters
except days to maturity and plant height.
None of the genotype showed stable performance for all the characters
studied as per Eberhart & Russell (1966) model. Based on mean, bi and S2 di
values of Eberhart & Russell (1966), MGG 295 and MGG 353 were found to
be stable for days to 50% flowering and days to maturity with lower mean
values. LGG 407, LGG 460 and TM 96-2 were found to be stable for yield
contributing characters viz., plant height and number of clusters per plant with
higher mean values.
Based on ANOVA of AMMI, genotypes showed significance for all the
characters under study and environments showed significance for all the
characters under study except days to 50% flowering and days to maturity.
Among four IPCAs that explained the GE component, IPCA 1 was significant
for all the characters under study and IPCA 2 was significant only for plant
height. Based on AMMI analysis, genotypes MGG 295 and MGG 341 were
more stable for most of the traits under study.
Based on mean values genotypes, LGG 460 and LGG 407; based on
variance genotypes MGG 295, MGG 341 and MGG 353; based on variance of
ranks LGG 460, MGG 295 and MGG 348; based on stability factor genotypes
MGG 348, MGG 351 and MGG 341; based on mean variance due to genotype
environment interaction values genotypes LGG 407, MGG 347 and LGG 450;
based on ecovalence values MGG 295, LGG 450 and MGG 347; based on
deviation from regression values genotypes TM 96-2, LGG 450 and MGG 347
and based on regression values genotypes PDM 54, MGG 347 and LGG 450
were found to be stable for seed yield per plant.
Among different stability parameters that were studied Ecovalence
method is easy method and the results are similar with mean variance due to
G x E and Shukla’s (02i) stability variance in which calculations are
cumbersome.
Description
Keywords
Stability, analysis, greengram