Record Details

Variability and stability analysis for grain yield and its component traits in bread wheat

KrishiKosh

View Archive Info
 
 
Field Value
 
Title Variability and stability analysis for grain yield and its component traits in bread wheat
 
Creator Preeti
 
Contributor Panwar, I.S.
 
Subject Genotypes, Yields, Planting, Grain, Wheats, Developmental stages, Environment, Genetics, Animal husbandry, Proteins
 
Description The objectives of present investigation were to determine the genetic variability, estimation of
association between grain yield and its component traits and among themselves, finding out the
stability of 42 genotypes under four environments with different sowing dates and fertility levels and
genetic diversity analysis among wheat genotypes using ISSR markers. Significant differences were
observed among genotypes for all the traits under all the four environments. Genotypes WH1105,
WH1142, HD2967, DBW17, WH542, PBW343, DPW 621-50, PBW550 and WH1135 have been
found promising for grain yield under favourable environment. Grain yield per plant showed highly
significantly and positive phenotypic correlation with days to heading, days to maturity, plant height,
effective tillers per plant, number of grains per ear, biological yield, harvest index, protein content. The
path coefficient analysis revealed that Biological yield per plant registered the highest direct and
positive effects on grain yield per plant followed by harvest index, number of grains per ear, days to
heading and plant height. The stability analysis indicated that both linear and non-linear components
contributed to total GxE interaction for all the characters. Genotypes WH147, WH711, WH1080 and
WH1135 were found stable for grain yield in all the environments. However, genotypes WH1105,
PBW550, WH1081, WH542, DBW17 and HD2967 were found sable for favourable environment It is
suggested that these varieties can be used for developing desirable breeding material with better
stability. The NTSYS-PC UPGMA cluster tree as well as two and three dimensional PCA analysis led
to the grouping of 42 genotypes into two clusters at similarity index of 0.62. Cluster I was having 4
genotypes which were quite diverse from rest of the genotypes. Cluster II was further divided into five
sub-clusters, PBW343 and PBW373 showed maximum similarity, supported further by their parentage.
 
Date 2016-09-17T14:34:17Z
2016-09-17T14:34:17Z
2014
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/77225
 
Language en
 
Format application/pdf
 
Publisher CCSHAU