• Reference :1

    Akbarpour, O., Dehghani, H., Sorkhi, B., Guach, G., 2014. Evaluation of Genotype×environmentinteraction in Barley (Hordeum vulgare L.) based on AMMI model using developed SAS Program. Journal of Agricultural Science and Technology 16, 919–930.

    Annicchiarico, P., 1997. Joint regression vs AMMI analysis of genotype×environment interactions for cereals in Italy. Euphytica 94, 53–62.

    Bocianowsk, J., Warzecha, T., Nowosad, K., Bathelt, R., 2019b. Genotype by environment interaction using AMMI model and estimation of additive and epistasis gene effects for 1000-kernel weight in spring barley (Hordeum vulgare L.). Journal of Applied Genetics 60, 127–135.

    Bocianowski, J., Niemann, J., Nowosad, K., 2019a. Genotype-by-environment interaction for seed quality traits in interspecific cross-derived Brassica lines using additive main effects and multiplicative interaction model. Euphytica 215,7.

    Bocianowski, J., Nowosad, K., Szulc, P.,2019c. Soil tillage methods by years interaction for harvest index of maize (Zea mays L.) using additive main effects and multiplicative interaction model. Acta Agric Scand Sect B Soil Plant Science 69(1), 75–81.

    Carlos, T.D.S.D., Wojtek, J.K., 2006. Choosing Components InThe Additive Main Effect And Multiplicative Interaction (AMMI) models, Scientia Agricola (Piracicaba, Braz.), 63(2), 169–175.

    Edwards, J.W., 2016. Genotype×environment interaction for plant density response in maize (Zea mays L.). Crop Science 56, 1493–1505.

    Ferraudo, G.M., Perecin, D., 2014. Mixed model, AMMI and Eberhart-Russel comparison via simulation on genotype×environment interaction study in sugarcane. Applied Mathematics 5, 2107–2119.

    Guilly, S., Thomas, D., Audrey, T., Laurent, B., Jean-Yves, H., 2017. Analysis of multi environment trials (MET) in the sugarcane breeding program of Re´union Island. Euphytica 213, 213.

    Kamila, N., Alina, L., Wiesława, P., Jan, B.,2016. Genotype by environment interaction for seed yield in rapeseed (Brassica napus L.) using additive main effects and multiplicative interaction model. Euphytica 208, 187–194.

    Kendal, E., Tekdal, S., 2016. Application of AMMI Model for Evolution Spring Barley Genotypes in Multi-Environment Trials. Bangladesh Journal of Botany 45(3), 613–620.

    Kilic, H., 2014. Additive Main Effect and Multiplicative Interactions (AMMI) Analysis of Grain Yield in Barley Genotypes across Environments. Journal of Agricultural Science 20, 337–344.

    Mohammadi, M., Sharifi,P., Karimizadeh,R., Jafarby,J.A., Khanzadeh,H., Hosseinpour, T., Poursiabidi,M.M., Roustaii,M., Hassanpour Hosni, M., Mohammadi, P., 2015. Stability of grain yield of durum wheat genotypes by AMMI model. Agriculture & Forestry 61(3), 181–193.

    Mortazavian, S.M.M., Nikkhah, H.R., Hassani, F.A., Sharif-al-Hosseini, M., Taheri, M., Mahlooji, M., 2014. GGE Biplot and AMMI Analysis of Yield Performance of Barley Genotypes across Different Environments in Iran. Journal of Agricultural Science and Technology 16, 609–622.

    Naroui, R., Kadir, M.R.,  Rafii, M., Hawa, M.Y.J., Naghavi, Z.E., Farzaneh, M.R., 2013. Genotype×environment interaction by AMMI and GGE biplot analysis in three consecutive generations of wheat (Triticumaestivum) under normal and drought stress conditions. Australian Journal of Crop Science 7(7), 956–961.

    Ndhlela, T., Herselman, L., Magorokosho, C., Setimela, P., Mutimaamba, C., Labuschagne, M., 2014. Genotype×environment Interaction of Maize Grain Yield Using AMMI Biplots. Crop Science 54, 1992–1999.

    Nowosad, K., Liersch, A., Popławska, W., Bocianowski, J., 2016. Genotype by environment interaction for seed yield in rapeseed (Brassica napus L.) using additive main effects and multiplicative interaction model. Euphytica 208, 187–194

    Nowosad, K., Tratwal, A., Bocianowski, J., 2018. Genotype by environment interaction for grain yield in spring barley using additive main effects and multiplicative interaction model. Cereal Research Communications 46(4), 729–738.

    Purchase, J.L., 1997. Parametric analysis to describe G×E interaction and yield stability in winter wheat. Ph.D. thesis. Dep. of Agronomy, Faculty of Agriculture, Univ. of the Orange Free State, Bloemfontein, South Africa.

    Rahmatollah, K., Asghari, A., Chinipardaz, R., Sofalian, O., Ghaffari, A., 2016. Determining Yield Stability And Model Selection By AMMI Method In Rain-Fed Durum Wheat Genotypes. Turkish Journal of Field Crops 21(2), 174–183.

    Rao, A.R., Prabhakaran, V.T., 2005. Use of AMMI in simultaneous selection of genotypes for yield and stability. Journal of the Indian Society of Agricultural Statistics 59, 76–82.

    Regis, J. A. V. B., Andrade, J. A. C., Santos, A., Moraes, A., Trindade, R. W. R., Henriques, H.J.R., Oliveira, L.C., 2018. Adaptability and phenotypic stability of sugarcane clones. Pesquisa Agropecuária Brasileira 53(1), 42–52.

    Sabaghnia, N., Mohammadi, M., Karimizadeh, R., 2012. The Evaluation of Genotype×Environment Interactions of Durum Wheat’s Yield Using of the AMMI Model. Agriculture & Forestry 55, 5–21.

    Sabaghnia, N., Mohammadi, M., Karimizadeh, R., 2013. Parameters of AMMI model for yield stability analysis in durum wheat. Agriculturae Conspectus Scientificus 78(2), 119–124.

    Shahriari, Z., Heidari, B., Dadkhodaie, A., 2018. Dissection of genotype × environment interactions for mucilage and seed yield in Plantago species: Application of AMMI and GGE biplot analyses. PLoS ONE 13(5): e0196095

    Sneller, C.H., Kilgore-Norquest, L., Dombek,D., 1997. Repeatability of yield stability statistics in soybean. Crop Science 37, 383–390.

    Tekdal, S., Kendal, E., 2018. AMMI Model to Assess Durum Wheat Genotypes in Multi-Environment Trials, Journal of Agricultural Science and Technology 20, 153–166.

    Tena, E., Goshu, F., Mohamad, H., Tesfa, M., Tesfaye, D., Seife, A., 2019. Genotype×environment interaction by AMMI and GGE-biplot analysis for sugar yield in three crop cycles of sugarcane (Saccharum officinirum L.) clones in Ethiopia. Cogent Food & Agriculture 5, 1–14.

    Vaezi, B., Pour-Aboughadareh, A., Mohammadi, R., 2017. GGE Biplot and AMMI Analysis of Barley Yield Performance in Iran. Cereal Research Communications 45, 500–511.

    Zobel, R., 1994. Stress resistance and root systems. In Proceedings of the Workshop on Adaptation of Plants to Serious Stresses. 1–4 August. INTSORMIL Publication 94-2, Institute of Agriculture and Natural Recourses. Lincoln, USA: University of Nebraska.

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