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Genetic analysis of agronomic characters in chickpea. I. Estimates of genetic variances from diallel mating designs

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Relation http://oar.icrisat.org/3537/
http://dx.doi.org/10.1007/BF00232956
JA 1199
 
Title Genetic analysis of agronomic characters in chickpea. I. Estimates of genetic variances from diallel mating designs
 
Creator Singh, Onkar
Gowda, C L L
Sethi, S C
Dasgupta, T
Smithson, J B
 
Subject Chickpea
 
Description Twenty-eight diallel trials over 8 years and two
locations were analysed to estimate genetic variances for
agronomic characters of chickpea (Cicer arietinum L.).
The data were analysed according to Method 4 and
Model I of Griffing (1956). Days to flowering, plant
height, and seed size were found to be predominantly
under additive inheritance and were highly predictable.
Both additive and non-additive genetic components were
important for seed yield, number of branches, pods per
plant, and seeds per pod. Although both general
combining ability (gca) and specific combining ability
(sca) varied significantly with generation, components of
gca mean squares were invariably much larger than
gca x generation interaction components, indicating that
either the F lor the F2 generation can be used to estimate
the gca components effectively. Combined diallel analysis
of F 2S over locations revealed the importance of
combining ability x location . interactions and emphasized
the need for testing over more than one location for
the precise estimation of combining ability. The implications
of these fmdings and those reported earlier in the
literature on the breeding strategies/methods for the genetic
improvement of agronomic characters in cbjckpea
are discussed.
 
Publisher Springer Verlag
 
Date 1992
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
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Identifier http://oar.icrisat.org/3537/1/0023.pdf
Singh, Onkar and Gowda, C L L and Sethi, S C and Dasgupta, T and Smithson, J B (1992) Genetic analysis of agronomic characters in chickpea. I. Estimates of genetic variances from diallel mating designs. TAG Theoretical and Applied Genetics, 83 (8). pp. 956-962. ISSN 1432-2242