An Assessment of Soybean (Glycine max, L. Merrill) Grain Yield in Different Environments Using AMMI and GGE Biplot Models in Humidorest Fringes of Southeast Nigeria

Abay F., Bjornstad A. (2009): Specific adaptation of barley varieties in different locations in Ethiopia. Euphytica 167, 181-195.10.1007/s10681-008-9858-3Search in Google Scholar

Adomou M., Ntare B. R., Williams, J. H. (1997): Stability of pod yields and parameters of a simple physiological model for yield among peanut lines in Northern Benin. Peanut Science 24(2): 107-112.10.3146/i0095-3679-24-2-10Search in Google Scholar

Akcura M., Taner S., Kaya Y. (2011): Evaluation of bread wheat genotypes under irrigated multi-environment conditions using GGE biplot analyses. Agriculture 98(1), 35-40.Search in Google Scholar

Alake C. O, Ariyo O. J. (2012): Comparative Analysis of Genotype × Environment Interaction Techniques in West African Okra, (Abelmoschuss caillei, A. Chev Stevels). Journal of Agricultural Science 4(4): 135-150.Search in Google Scholar

Alghamdi S.S. (2004): Yield stability of some soybean genotypes across diverse environments. Pakistan Journal of Biological Science 7(12): 2109-2114.Search in Google Scholar

Amira J. O., Ojo D. K., Ariyo O. J., Oduwaye O. A., Ayo-Vaughan M. A. (2013): Relative Discriminating Powers of GGE and AMMI Models in the selection of Tropical Soybean Genotypes. African Crop Science Journal 21 (1): 67-73.Search in Google Scholar

Asad M.A., Bughio H.R., Odhano I.A., Arain M.A., Bughio M.S. (2009): Interactive effect of genotype and environment on the paddy yield in Sindh Province. Pakistan Journal of Botany 41(4): 1775-1779.Search in Google Scholar

Baiyeri K.P., Nwokocha H. N. (2001): Evaluation of sweet potato Genotypes for yield stability in Southeastern Nigeria. Journal of Sustainable Agriculture and Environment 3(2): 254-262.Search in Google Scholar

Bello L.L., Ojo A.A., Adeyemo M.O., Omojor Y.M. (1996): Effect of planting date on yield component and seed viability in soybean in southern Guinea Savanna, Nigeria. African Crop Science Journal 4: 393-397.Search in Google Scholar

Calvino P.A., Sadras V.O., Andrade F.H. (2003): Quantification of environmental and management effects on the yield of late-sown soybean. Field Crops Research 83: 67-77.10.1016/S0378-4290(03)00062-5Search in Google Scholar

Cicek M.S., Chen P., Saghai Maroof M.A., Buss G.R. (2006): Interrelationships among Agronomic and Seed Quality Traits in an interspecific Soybean Recombinant Inbred Population. Crop Science 46: 1253-1259.10.2135/cropsci2005.06-0162Search in Google Scholar

Crossa J. (1990): Statistical analyses of multilocation trials. Advances in Agronomy 44: 55-85.10.1016/S0065-2113(08)60818-4Search in Google Scholar

Dashiell K. E., Ariyo O.J., Bello L. (1994): Genotype × environment interaction and simultaneous selection for high yield and stability in soybeans (Glycine max (L.) Merr.). Annals of Applied Biology 124, 133-139.10.1111/j.1744-7348.1994.tb04121.xSearch in Google Scholar

Fekadu G., Hussein M., Getinet A. (2009): Genotype × Environment interactions and stability of soybean for grain yield and nutrition quality. African Crop Science Journal 17(2): 87-99.Search in Google Scholar

GenStat (2011): GenStat Release 10.3DE, Discovery Edition 4, VSN International Ltd. (Rothamsted Experimental Station).Search in Google Scholar

Hartman G.L., Ellen D.W., Herman T.K. (2011): Crops that feed the World 2. Soybean - worldwide production, use, and constraints caused by pathogens and pests. Food Security 3: 5-17.10.1007/s12571-010-0108-xSearch in Google Scholar

Jandong E.A., Uguru M.I., Oyiga B.C. (2011): Determination of yield stability of seven Soybean (Glycine max) genotypes across diverse soil pH levels using GGE biplot analysis. Journal of Applied Biosciences 43: 2924- 2941.Search in Google Scholar

Kamadi R. E. (2001): Relative stability, performance and superiority of crop genotypes across environments. Journal of Agricultural, Biological and Environmental Statistics 76: 197-199.10.1198/10857110152946820Search in Google Scholar

Karimizadeh R., Mohammadi M., Sabaghni N., Mahmoodi A.A., Roustami B., Seyyedi F., Akbari F. (2013): GGE Biplot Analysis of Yield Stability in Multi-environment Trials of Lentil Genotypes under Rainfed Condition. Notulae Scientia Biologicae 5(2): 256-262.10.15835/nsb529067Search in Google Scholar

Lal R. (2009): Soil degradation as a reason for inadequate human nutrition. Food Security 1: 45-57.10.1007/s12571-009-0009-zSearch in Google Scholar

Lin C. S., Binns M. R., Lefkovitch L. P. (1986): Stability analysis: where do we stand? Crop Science 26: 894-899.10.2135/cropsci1986.0011183X002600050012xSearch in Google Scholar

Makinde S.C.O., Ariyo O. J. (2011): Analysis of Genotype × Environment interaction of groundnut (Arachis hypogaea L.). Malaysian Journal of Applied Biology 40 (2): 19-26.Search in Google Scholar

Makinde S.C.O., Ariyo O.J., Akinbowale R.I. (2013): Assessment of groundnut performance in different environments using Additive Main effects and Multiplicative Interaction (AMMI) model. Canadian Journal of Plant Breeding 1(2): 60-66.Search in Google Scholar

Miranda G. V., Souza L. V., Guimarães L. J. M., Namorato H. L., Oliveira R., Soares M. O. (2009): Multivariate analyses of genotype × environment interaction of popcorn. Pesquisa Agropecuaria Brasileira 44(1): 45-50.10.1590/S0100-204X2009000100007Search in Google Scholar

Mitrovic B., Stanisavljevic D., Treski S., Stojakovic M., Ivanovic M., Bekavac G., Rajkovic M. (2012): Evaluation of experimental Maize hybrids tested in Multi-location trials using AMMI and GGE biplot analysis. Turkish Journal of Field Crops 17(1): 35-40.Search in Google Scholar

Naroui Rad M.R., Abdu Kadir M., Rafii M.Y., Jaafar H.Z.E., Naghavi M.R., Ahmadi F. (2013): Genotype × environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticum aestivum) under normal and drought stress conditions. Australian Journal of Crop Science 7(7): 956-961.Search in Google Scholar

Olufajo O.O., Pal U.R., Nnadi L.A., Adu J.K., Asenime I.O.R. (1984): Influence of cultural practices on soybean yield in Nigeria Savanna. Proceedings of the 4^th National Meeting of Nigerian soybean Scientists 4: 112-131.Search in Google Scholar

Pal U.R., Olufajo O.O., Nnadi L.A. (1983): Response of soybean to sowing date, planting arrangement and fertilizer application in Nigeria savanna. Proceedings of the 3^rd National Meeting of Nigerian Soybean Scientists 3: 108-124.Search in Google Scholar

R Core Team (2013): A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.Search in Google Scholar

Thiyagu D., Rafii M.Y., Mahmud T.M.M., Latif M.A., Malek M.A., Sentoor, G. (2013): Genotype by environment assessment in sweet potato as Leafy vegetable using AMMI model. Pakistan Journal of Botany 45(3): 843-852.Search in Google Scholar

Vaughan J. G., Geissler C.A. (2008): The New Oxford Book of Food Plant. Oxford University Press, 280 p.Search in Google Scholar

Van Euwijk F.A., Elgersma A. (1993): Incorporating environmental information in an analysis of G × E interaction for seed yield in perennial ryegrass. Heredity 70: 447-457.10.1038/hdy.1993.66Search in Google Scholar

Yan W., Hunt L.A. (2001): Interpretation of genotype × environment interaction for winter wheat yield in Ontario. Crop Science 41: 19-25.10.2135/cropsci2001.41119xSearch in Google Scholar

Yan W., Hunt L.A., Sheng Q., Szlavnics Z. (2000): Cultivar evaluation and mega-environment investigations based on the GGE biplot. Crop Science 40: 597-605.10.2135/cropsci2000.403597xSearch in Google Scholar

Yan, W., Rajcan I. (2003): Prediction of cultivar performance based on single-versus multiple-year test in soybean. Crop Science 43: 549-555.10.2135/cropsci2003.0549Search in Google Scholar

Yan W., Kang M. S, Ma B., Woods S., Cornelius P. L. (2007): GGE biplotvs. AMMI analysis of genotype-by-environment data. Crop Science 47: 643-655.10.2135/cropsci2006.06.0374Search in Google Scholar