Burgueño J, Crossa J, Cotes JM, Vicente FS, Das B  (2011) Prediction assessment of linear mixed models for multi environment  trials.  Crop Science 51: 944-954.

Crespo-Herrera LA, Crossa J, Huerta-Espino J, Autrique E, Mondal S, Velu G (2017) Genetic yield gains in CIMMYT’s International Elite Spring Wheat Yield Trials by modeling the genotype × environment interaction. Crop Science 57:789–801.

Cullis BR, Jefferson P, Thompson R, Smith AB (2014) Factor analytic and reduced animal models for the investigation of additive genotype by environment interaction in out crossing plant species with application to a pinus radiata breeding program. Theoretical and Applied Genetics 127:2193–2210.

Duarte JB, Vencovsky R (1999) Interação genótipos x ambientes: uma introdução à análise AMMI. Ribeirão Preto: Soc Bras Genét. Pp. 60.

Friesen LF, Brule-Babel AL, Crow GH, Rothenburger PA (2016) Mixed model and stability analysis of spring wheat genotype yield evaluation data from Manitoba, Canada. Canadian Journal of Plant Science 96 : 305–320.

Gogel BJ, Smith AB,  Cullis BR (2018) Comparison of a one and two-stage mixed model analysis of Australia’s National Variety Trial Southern Region wheat data. Euphytica 214: 44-64.

Kleinknecht K, Laidig F, Piepho HP,  Möhring J (2011) Best linear unbiased prediction (BLUP): Is it beneficial in official variety performance trials?. Biuletyn Oceny Odmian 33:21–33.

Mendes FF, Guimarães LJM, Souza JC, Guimarães PEO, Pacheco CAP, de Machado J RA, Meirelles W F, da Silva A R,  Parentoni S (2012) Adaptability and stability of maize varieties using mixed model methodology. Crop Breeding and Applied Biotechnology 12: 111-117.

Murakami DM,  Cruz CD (2004) Proposal of methodologies for environment stratification and analysis of genotype adaptability. Crop Breeding and Applied Biotechnology 4:7-11.

Nuvunga JJ, Oliveira LA, Silva CP, Pamplona AKA, Silva AQ, Moura EG, Maleia MP,  Balestre M (2018) Adaptability and stability of cotton cultivars (Gossypium hirsutum L. race latifolium H.) using factor analytic model.  Genetics and Molecular Research 17 :1-10.

de Oliveira IJ, Atroch AL, Dias MC, Guimarães LJ, de Paulo EOG (2017) Selection of corn cultivars for yield, stability and adaptability in the state of Amazonas, Brazil. Pesquisa Agropecuária Brasileira  52:455-463.

Piepho HP, Möhring J, Melchinger AE,  Büchse A (2008) BLUP for phenotypic selection in plant breeding and variety testing. Euphytica 161: 209-228.         

Resende MDV (2007) Selegen-reml/blup: statistical system and computerized genetic selection by linear mixed models. Embrapa Florestas, Colombo, PR, Brazil.

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

Silva P da, Bisognin DA, Locatelli AB,  Storck L (2014) Adaptability and stability of corn hybrids grown for high grain yield. Acta Scientiarum. Agronomy 36:175-181.

Smith AB,  Cullis BR (2018) Plant breeding selection tools built on factor analytic mixed models for multi-environment trial data. Euphytica 214:143-161.

Verardi CK, Resende MDZV, Costa RB,  Gonçalves PS (2009) Adaptabilidade e estabilidade da produção de borracha e seleção em progênies de seringueira. Pesquisa Agropecuária Brasileira 44: 1277-1282.

Yang W,  Kang MS (2003) GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. CRC Press, Boca Raton, FL.