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Identifying Promising Pearl Millet Hybrids Using AMMI and Clustering Models

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Relation http://oar.icrisat.org/9894/
http://dx.doi.org/10.20546/ijcmas.2017.602.153
10.20546/ijcmas.2017.602.153
 
Title Identifying Promising Pearl Millet Hybrids Using AMMI
and Clustering Models
 
Creator Sumathi, P
Govindaraj, M
Govintharaj, P
 
Subject Pearl Millet
 
Description A set of 27 pearl millet (Pennisetum glaucum (L.) R. Br.] ) hybrids that newly developed
using A1 cytoplasmic male-sterile lines, were evaluated over three (two wet and one dry)
crop seasons (hereafter refer to as environments) in Randomized Complete Block Design
(RCBD) with two replications to predict genotype by environment (G × E) interaction for
grain yield and its component traits, and to identify the high yielding stable hybrids
through AMMI and cluster analysis method for possible adaption. Analysis of variance
showed significant genetic variation for all studied traits exists. The Additive Main Effects
and Multiplicative Interaction (AMMI) analysis indicated that genotype, environment and
G × E interaction highly significant for grain yield and other traits. However, G × E
interaction component explained very low magnitude (3.87%) towards total genetic
variation, while genotype alone contributed much higher magnitude (8.04%) in AMMI
model and found TNBH 05 45 was an ideal hybrid for all three environments for grain
yield (34% over best control). Diversity analysis showed seven diverse clusters following
Euclidean distance coefficient of 0.91 and found TNBH 05 03 and TNBH 05 45 hybrids
are promising. Based on these two models, TNBH 05 03, TNBH 39 and TNBH 05 45 were
identified for stable performance per se in all the environments, and could be used for
subsequent advanced testing and hybrid breeding programmes for possible release within
regions.
 
Publisher Excellent Publishers
 
Date 2017-02
 
Type Article
PeerReviewed
 
Format application/pdf
 
Language en
 
Rights —
 
Identifier http://oar.icrisat.org/9894/1/International%20Journal%20of%20Current%20Microbiology%20and%20Applied%20Sciences%20.pdf
Sumathi, P and Govindaraj, M and Govintharaj, P (2017) Identifying Promising Pearl Millet Hybrids Using AMMI and Clustering Models. International Journal of Current Microbiology and Applied Sciences, 6 (2). pp. 1348-1359. ISSN 2319-7706