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Statistical analysis on genotype by environment interaction in finger millet (Eleusine coracana Gaertn)

International Research Journal of Agricultural Economics and Statistics

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Title Statistical analysis on genotype by environment interaction in finger millet (Eleusine coracana Gaertn)
 
Creator NAGARAJA, M. S.; Department of Farm Engineering, Institute of Agricultural Sciences, Banaras Hindu University, VARANASI (U.P.) INDIA Email: msn8129@gmail.com
HALAGUNDEGOWDA, G. R.; Department of Farm Engineering, Institute of Agricultural Sciences, Banaras Hindu University, VARANASI (U.P.) INDIA.
MEENAKSHI, H. K.; Farm Section, Central Coffee Research Institute, Coffee Research Station Post, Balehonnur, Koppa, CHIKKAMAGALUR (KARNATAKA) INDIA
 
Subject Stability, Genotypes, GXE-interaction, Pooled ANOVA, Yield attributes
 
Description Finger millet is nutritionally superior to many cereals providing fair amount of proteins, minerals, calcium and vitamins in abundance to people. GXE-interaction has been a major challenge for plant breeders. Ten Finger millet genotypes were evaluated over nine locations for three years 2006, 2007 and 2008. GXE interaction has been analyzed using the pooled two-way analysis of variance for traits like plant height, number of productive tillers, main ear length, number fingers per ear, days to 50 per cent flowering, grain yield and fodder yield. The pooled two-way analysis of variancerevealed that the mean sum of squares (MSS) due to genotype and environment interaction was highly significant for all traits over a different years and locations.
 
Publisher HIND AGRICULTURAL RESEARCH AND TRAINING
 
Date 2015-06-18
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://www.myresearchjournals.com/index.php/IRJAES/article/view/2116
 
Source International Research Journal of Agricultural Economics and Statistics; Vol 6, No 1 (2015)
2231-6434
2229-7278
 
Language eng
 
Relation http://www.myresearchjournals.com/index.php/IRJAES/article/view/2116/2046
 
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International Research Journal of Agricultural Economics and Statistics