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GENETIC DIVERGENCE AND ASSOCIATION ANALYSIS IN RICE (Oryza sativa L.)

KrishiKosh

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Title GENETIC DIVERGENCE AND ASSOCIATION ANALYSIS IN RICE (Oryza sativa L.)
 
Creator KAILASHNATH
 
Contributor DAYAKAR REDDY, T
 
Subject grain, developmental stages, planting, genetics, rice, yields, genotypes, biological phenomena, heritability, productivity
 
Description In the present investigation, sixty four genotypes of rice were evaluated to study the
genetic diversity present in the experimental material for selection of the diverse parents, to
estimate the genetic parameters among the genotypes for yield and quality traits, and the
extent of association between the yield and its component characters including the direct
and indirect effects. The experiment was laid out in a randomized block design with two
replications at Rice section farm, Agricultural Research Institute, Rajendranagar,
Hyderabad during kharif2011.
Analysis of variance indicated the existence of significant genotypic differences
among the genotypes for the yield, its components and grain quality traits for all the
characters. High GCV and PCV values were observed for number of productive tillers per
plant, number of filled grains per panicle, grain yield per plant and head rice recovery.
High heritability coupled with high genetic advance as per cent of mean was
observed for plant height, number of productive tillers per plant, number of filled grains
per panicle, 1000-grain weight, grain yield per plant and head rice recovery. which
indicated that these traits were controlled by additive type of gene action. The remaining
traits were mostly under the influence of non-additive gene effects as they recorded low to
moderate estimates of genetic advance.
Based on the relative magnitude of D2 values, the genotypes were grouped into
twelve clusters. Cluster I was the largest comprising of twenty genotypes followed by
cluster III with fifteen genotypes, cluster II with eleven genotypes, cluster IV with seven
genotypes, cluster VI with three genotypes, cluster VIII with two genotypes and cluster V,
VII, IX, X, XI and XII with one genotype each. The highest divergence occurred between
cluster VII and cluster XI (54.74) followed by cluster VII and cluster IX (49.49), cluster V
and cluster XI (49.09) and cluster VIII and cluster IX (47.23).
Based on the inter cluster distances, a hybridization between the genotypes
(CR2642-51) of cluster VII and cluster XI (NDR 2106), cluster VII (CR2642-51) and
cluster IX (NDR 9479(IR 7017-14-SRN-4-UBN-2-B-1-2-2)), cluster V (KMP 149) with
cluster XI (NDR 2106), is suggested to generate promising segregants for grain yield and
quality traits would produce encouraging results.
The data on character means for twelve clusters indicated that, cluster X with only
one genotype (KAGR 424) exhibited highest cluster mean for four traits viz., panicle
length, kernel length, L/B ratio and kernel length after cooking. Cluster VII with one
genotypes (CR2642-51) recorded highest mean value for days to 50 per cent flowering,
head rice recovery and kernel breadth. Cluster V with one genotype (KMP 149) possessed
highest mean value for number of filled grains per panicle, hulling percentage and milling
percentage. Cluster VI possessed highest mean value for plant height, number of
productive tillers per plant and grain yield per plant containing genotypes viz., NP -6226,
CN1740-5-3-3-2-MLD9 and CN 1780-4.
The maximum genetic divergence was contributed by head rice recovery was
highest towards genetic divergence (51.44%), followed by Number of grains per panicle
(20.78%), kernel length after cocking (16.91%), milling per cent (3.03%), L/B ratio
(2.93%), Kernel length (1.59%), Kernel Breadth (1.19%), Grain Yield per plant (0.64%),
elongation ratio (0.60%), no of productive tillers per plant (0.50%), panicle length (0.25%)
and plant height (0.15%).
Character association studies revealed that the characters grain yield per plant
showed significant positive association with number of productive tillers per plant, number
of filled grains per panicle, plant height and positive association with panicle length and
kernel breadth. This indicated that simultaneous selection of all these characters was
important for yield improvement.
A critical analysis of the results by path analysis revealed that the traits numbers of
productive tillers per plant followed by kernel length, number of filled grains per panicle
and plant height were directly influencing the grain yield per plant. Hence, these traits were
considered as important attributes in formulating selection criterion for achieving desired
targets.
 
Date 2016-06-14T10:01:49Z
2016-06-14T10:01:49Z
2012
 
Type Thesis
 
Identifier http://krishikosh.egranth.ac.in/handle/1/67314
 
Language en
 
Relation D9119;
 
Format application/pdf
 
Publisher ACHARYA N. G. RANGA AGRICULTURAL UNIVERSITY