Article

Estimation of genetic parameters in indigenous rice

Advances in Agriculture & Botanics 01/2010; DOI:http://www.doaj.org/doaj?func=openurl&genre=article&issn=20667639&date=2010&volume=2&issue=1&spage=79
Source: DOAJ

ABSTRACT Significant genetic variability was observed among 22 genotypes of indigenous rice for yieldand quality contributing traits viz., number of spikelets per panicle, test weight, grain yield per hill,volume expansion ratio, head rice recovery, kernel length and length breadth ratio, indicating thatthere is presence of sufficient amount of variability in the study material and there is scope ofselection. On the basis of mean performance of yield and yield contributing traits it was concluded that“Indrani” was the best performer for both yield and quality which was at par with the hieghest yieldergenotype Jhumeri. For quality parameters Narendra-359 and Indrani were good, milling percentage ofLohandi was best followed by Bayalu & Dudagi general types. The results showed that PCV (phenotypiccoefficient of variance) in general was higher than GCV (genotypic coefficient of variation) for variouscharacters. However the difference between GCV and PCV was low for most of the characters studied.This indicates less degree of environmental influence on manifestation of these characters. Highheritability coupled with high genetic advance were recorded for number of spikelets per panicle,hulling percentage, milling percent and head rice recovery indicated the major role of additive geneaction in the inheritance of these character and these characters could be improved by selection insegregating generation. Thus, these characters may serve as an effective selection parameter duringbreeding programme for crop improvement.

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Keywords

Bayalu & Dudagi general types
 
characters studied.This
 
crop improvement
 
effective selection parameter duringbreeding programme
 
environmental influence
 
genotypic coefficient
 
grain yield
 
head rice recovery
 
hieghest yieldergenotype Jhumeri
 
indigenous rice
 
kernel length
 
milling percent
 
milling percentage ofLohandi
 
quality parameters Narendra-359
 
selection insegregating generation
 
Significant genetic variability
 
spikelets
 
traits viz
 
variability
 
yieldand quality