International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2022 - IJCMAS--ICV 2022: 95.28 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020] For more details click here

Login as a Reviewer

See Guidelines to Authors
Current Issues
Download Publication Certificate

Original Research Articles                      Volume : 6, Issue:2, February, 2017

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : /
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2017.6(2): 1348-1359

Identifying Promising Pearl Millet Hybrids Using AMMI and Clustering Models
Pichaikannu Sumathi1, Mahalingam Govindaraj1,2* and Ponnaiah Govintharaj1
1Department of Millets, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore - 641003, India
2International Crops Research Institute for the Semi-arid Tropics (ICRISAT), Millet Breeding, Patancheru - 502324, Telangana, India
*Corresponding author

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.

Keywords: Additive main effects and Multiplicative interaction, Grain yield, Pearl millet, Stability.

Download this article as Download

How to cite this article:

Pichaikannu Sumathi, Mahalingam Govindaraj, Ponnaiah Govintharaj. 2017. Identifying Promising Pearl Millet Hybrids Using AMMI and Clustering Models.Int.J.Curr.Microbiol.App.Sci. 6(2): 1348-1359. doi:
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.