Agahi K, Jafar Ahmadi, Hassan Amiri Oghan, Mohammad Hossein Fotokian,  Sedigheh Fabriki Orang (2020) Analysis of genotype × environment interaction for seed yield in spring oilseed rape using the AMMI model. Crop Breeding and Applied Biotechnology 20(1): e26502012

Ajay BC, Aravind J, Fiyaz R Abdul, Kumar Narendra, Lal Chuni, Gangadhar K, Kona Praveen, Dagla MC,  Bera SK (2019) Rectification of modified AMMI stability value (MASV). Indian Journal of Genetics & Plant Breeding 79(4): 726-731.

Akbarpour O, Dehghani H, Sorkhi B, Guach G (2014) Evaluation of Genotype × Environment Interaction in Barley (Hordeum Vulgare L.) Based on AMMI model Using Developed SAS Program. Journal of Agricultural Science & 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 (2019) 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 Genetic 60: 127–135.

Gauch HG (2013) A Simple Protocol for AMMI Analysis of Yield Trials. Crop Science 53:1860-1869.

Haider Z, Akhter M, Mahmood A, Khan RAR (2017) Comparison of GGE biplot and AMMI analysis of multi-environment trial (MET) data to assess adaptability and stability of rice genotypes. African Journal of Agricultural Research 12:3542-3548.

Hongyu K, García-Peña M, de Araújo LB,  dos Santos Dias CT (2014) Statistical analysis of yield trials by AMMI analysis of genotype× environment interaction. Biometrical letters 51:89-102.

Kamila N, Alina L, Wies?awa 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.

Mohammadi R, Amri A (2008) Comparison of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica 159: 419-432.

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

Rao AR, Prabhakaran VT (2005) Use of AMMI in simultaneous selection of genotypes for yield and stability. Journal of the Indian Society of Agricultural Statistics 59:76-82.

Resende MDV de,   Duarte JB (2007) Precision and quality control in variety trials. Pesquisa Agropecuaria Tropical 37(3): 182-194.

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 CH, 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 & Technology 20: 153-166

Yau SK (1995) Regression and AMMI analysis of genotype × environment interactions: An empirical comparison. Agronomy Journal 87: 121–126.

Zali H, Farshadfar E, Sabaghpour SH, Karimizadeh R (2012) Evaluation of genotype × environment interaction in chickpea using measures of stability from AMMI model. Annals of Biological Research 3(7): 3126-3136.

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.