Original Article
Genetic Divergence and GGE Bi-plot Analysis of Multienvironment Trial Data of Barley (Hordeum vulgare L.) to Identify “Ideal” Genotype
Year: 2021 | Month: March | Volume 14 | Issue 1
Ali, H., Singh, S.K., Misra, C.N., RAM, D., Bharadwaj D.N. J. and Singh, H.L. 2007. Divergence Analysis of Exotic strain in barley (Hordeum vulgare L.). Asian J. Biol. Sci., 2(2): 66-68.
View at Google ScholarAl, J., Al-Fraihat, and Alimad, H. 2012. Genetic Variation, Heritability, Phenotypic and Genotypic Correlation Studies for Yield and Yield Components in Promising Barley Genotypes. J. Agri. Sci., 4(13): 193.
View at Google ScholarAgyeman A., Parkes E. and Peprah B.B. 2015. AMMI and GGE bi-plot analysis of root yield performance of cassava genotypes in the forest and coastal ecologies. Int. J. Agri. Policy Res., 3(3): 222–232.
View at Google ScholarEisemann, R.L., Copper, M. and Woodruff, D.R. 1990. Beyond analytical methodology, better interpretation of genotype by environment interaction. In: Kang MS, Genotype-byenvironment Interation and Plant Breeding.
View at Google ScholarGauch, H.G. and Zobel, R.W. 1996 AMMI Analysis of Yield Trials. In Kang, M.S. and Gauch, H.G., Eds., Genotype by Environment Interaction.
View at Google ScholarKumar, S. and Prasad, L.C. 2002. Variability and correlation study in barley (Hordeum vulgare L.). Res. on Crops, 3(2): 432-436.
View at Google ScholarLodhi1, R., Prasad, L.C., Madakemohekar, A.H., Bornare S., Prasad, R. 2015. Study of Genetic parameter for yield and yield contributing trait of elite genotypes of barley (Hordeum vulgare L.). Ind. Res. J. Genet. Biotech., 7(1): 17-21
View at Google ScholarMohammadi R., Haghparast R., Sadeghzadeh B., Ahmadi H., Solimani K. and Amri A. 2014. Adaptation patterns and yield stability of durum wheat land races to highland cold rainfed areas of Iran. Crop Sci., 3(1): 944–954.
View at Google ScholarMahalanobis, P.C. 1936. On the Generalized Distance in Statistics. Proceedings of the National Institute of Science of India, 2(4): 49-55.
View at Google ScholarNavin, K., Markar, S., Vijay, K. and Sunil. 2014. Studies on heritability and genetic advance estimates in timely sown bread wheat (Triticum aestivum L.). Biosc. Discovery, 5(1): 64-69.
View at Google ScholarRaffi, S.A., Newaz, M.A. and Khan, N. 2004. Stability analysis for pod and seed production in dry beans (Phaseolus vulgare L.).
View at Google ScholarRam Kishore, R.L., Pandy, D.D. and Varma, S.K. 2000. Genetic variability and character association in hull-less barley (Horeum vulgare L.). Crop Res. (Hissar), 19(2): 241-244.
View at Google ScholarRao, C.R. 1952. Advanced Statistical Methods in Biometrical Research. New York: John Willey and Sons Inc.
View at Google ScholarSingh, J., Prasad, L.C., Madakemohekar A.H. and Bornare S.S. 2014. Genetic variability and character association in diverse genotypes of barley (Hordeum vulgare L.). The Bioscan, 9(2): 759-761.
View at Google ScholarTofiq, S.E., Taban, N., Hama Amin., Suaad, M.S.A. and Dana, A.A. 2015. Correlations and Path coefficient analysis of grain yields and yields components in some barley genotypes created by full diallel analysis in Sulaimani region for F2 generation. Int. J. Plant, Anim. Environ. Sci., 5(4): 76-79.
View at Google ScholarYan, W. and Kang, M.S. 2003. GGE Bi-plot Analysis A Graphical Tool for Breeders Geneticists and Agronomists CRC Press, Boca Raton, FL.
View at Google ScholarYan, Kang, 2003. Developed the, GGE bi-plot technique for graphical Analysis of multi environments trial evaluation
View at Google Scholar



