Review
References
Bastos IT, Barbosa MHP, Resende MDV, Peternelli LA, Silveira LCI, Donda LR, Figueiredo ICR (2007). Avaliação da interação genótipo x ambiente em cana-de-açúcar via modelos mistos. Pesquis. Agropecuária Trop. 37(4):195-203. |
|
Beckett JL (1982). Variety x environment interactions in sugar beet variety trials. J. Agric. Sci. 98(02):425-435. |
|
Boer MP, Wright D, Feng L, Podlich DW, Luo L, Cooper M, van Eeuwijk FA (2007). A mixed-model quantitative trait loci (QTL) analysis for multiple-environment trial data using environmental covariables for QTL-by-environment interactions, with an example in maize. Genetics 177(3):1801-1813. |
|
Borges V, Soares AA, Reis MS, Resende MD, Cornélio VMO, Leite NA, Vieira AR (2010). Desempenho genotípico de linhagens de arroz de terras altas utilizando metodologia de modelos mistos. Bragantia 69(4):833-841. |
|
Carbonel SAM, Chiorato AF, Resende MD, Dias LDS, Beraldo ALA, Perina EF (2007). Estabilidade de cultivares e linhagens de feijoeiro em diferentes ambientes no estado de São Paulo. Bragantia 66(2):193-201. |
|
Crossa J (1990). Statistical analyses of multilocation trials. Adv. Agron. 44:55-85. |
|
Crossa J, Vargas M, Van Eeuwijk FA, Jiang C, Edmeades GO, Hoisington D (1999). Interpreting genotype x environment interaction in tropical maize using linked molecular markers and environmental covariables. Theor. Appl. Genet. 99(3-4):611-625. |
|
Denis JB (1988). Two way analysis using covarites. Statistics 19(1):123-132. |
|
Dobzhansky T, Levene H (1955). Genetics of natural populations. XXIV. Developmental homeostasis in natural populations of Drosophila pseudoobscura. Genetics 40(6):797. |
|
Duarte JB, Vencovsky R (1999). Interação genótipos x ambientes: uma introdução à análise AMMI. Ribeirão Preto: Sociedade Brasileira de Genética. P 60. |
|
Eberhart ST, Russell WA (1966). Stability parameters for comparing varieties. Crop Sci. 6(1):36-40. |
|
Farias Neto JTD, Moura EF, Resende MDVD, Celestino Filho P, Augusto SG (2013). Genetic parameters and simultaneous selection for root yield, adaptability and stability of cassava genotypes. Pesquis. Agropecuária Bras. 48(12):1562-1568. |
|
Finlay KW, Wilkinson GN (1963). The analysis of adaptation in a plant-breeding programme. Crop Pasture Sci. 14(6):742-754. |
|
Fox PN, Skovmand B, Thompson BK, Braun HJ, Cormier R (1990). Yield and adaptation of hexaploid spring triticale. Euphytica 47:57-64. |
|
Freeman GH (1973). Statistical methods for the analysis of genotype-environment interactions. Heredity 31(3):339-354. |
|
Freeman GH, Perkins JM (1971). Environmental and genotype-environmental components of variability. vIII. Heredity 27:15-23. |
|
Fripp YJ, Caten CE (1971). Genotype-environmental interactions in Schizophyllum commune. I. Analysis and character. Heredity 27(3):393-407. |
|
Gabriel KR (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika 58(3):453-467. |
|
Gauch HG (1988). Model selection and validation for yield trials with interaction. Biometrics 44(3):705-715. |
|
Gauch HG (1992). Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier Science Publishers. |
|
Gomez GM, Unęda-Trevisoli SH, Pinheiro JB, Di Mauro AO (2014). Adaptive and agronomic performances of soybean genotypes derived from different genealogies through the use of several analytical strategies. Afr. J. Agric. Res. 9(28):2146-2157. |
|
Gouvêa LRL, Silva GAP, Verardi CK, Oliveira ALB, Gonçalves ECP, Scaloppi-Junior EJ, Gonçalves P (2013). Rubber tree early selection for yield stability in time and among locations. Euphytica 191(3):365-373. |
|
Gripping B, Langridge J (1963). Phenotypic stability of growth in the self-fertilized species. Arabidopsis thaliana. In Statistical Genetics and Plant Breeding: A Symposium and Workshop. 982:368. National Academies. |
|
Hardwick RC, Wood JT (1972). Regression methods for studying genotype-environment interactions. Heredity 28(2):209-222. |
|
Haun JR (1982). Early prediction of corn yields from daily weather data and single predetermined seasonal constants. Agric. Meteorol. 27(3):191-207. |
|
Henderson CR (1973). Sire evaluation and genetic trends. J. Anim. Sci. Symp. pp. 10-41. |
|
Heslot N, Akdemir D, Sorrells ME, Jannink JL (2014). Integrating environmental covariates and crop modeling into the genomic selection framework to predict genotype by environment interactions. Theor. Appl. Genet. 127(2):463-480. |
|
Hirotsu C (1983). Defining the pattern of association in two-way contingency tables. Biometrika 70(3):579-589. |
|
Horner TW, Frey KJ (1957). Methods for determining natural areas for oat varietal recommendations. Agron. J. 49(6):313-315. |
|
Hühn VM (1979) Beitrage zur erfassung der phanotypischen stabilitat. EDV Med. Biol. 10:112-117. |
|
Kang MS (1988) A rank-sum method for selecting high-yielding, stable corn genotypes. Cereal Res. Comm. 16:113-115. |
|
Kempton RA (1984). The use of biplots in interpreting variety by environment interactions. J. Agric. Sci. 103(01):123-135. |
|
Lewis D (1954). Gene-environment interaction: A relationship between dominance, heterosis, phenotypic stability and variability. Heredity 8:333-356. |
|
Lin CS, Binns MR (1988). A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci. 68:193-198 |
|
Mandel J (1971). A new analysis of variance model for non-additive data. Technometrics 13(1):1-18. |
|
Mathews KL, Chapman SC, Trethowan R, Pfeiffer W, Van Ginkel M, Crossa J, Cooper M (2007). Global adaptation patterns of Australian and CIMMYT spring bread wheat. Theor. Appl. Genet. 115(6):819-835. |
|
Mendes FF, Guimarães LJM, Souza JC, Guimarães PEO, Pacheco CAP, Machado JRDA, Parentoni SN (2012). Adaptability and stability of maize varieties using mixed model methodology. Crop Breed. Appl. Biotechnol. 12(2):111-117. |
|
Nassar R, Hühn M (1987). Studies on estimation of phenotypic stability: Tests of significance for nonparametric measures of phenotypic stability. Biometrics 43:45-53. |
|
Ndhlela T, Herselman L, Magorokosho C, Setimela P, Mutimaamba C, Labuschagne M (2014). Genotype× Environment Interaction of Maize Grain Yield Using AMMI Biplots. Crop Sci. 54(5):1992-1999. |
|
Paderewski J, Gauch HG, MÄ…dry W, Drzazga T, Rodrigues PC (2011). Yield response of winter wheat to agro-ecological conditions using additive main effects and multiplicative interaction and cluster analysis. Crop Sci. 51(3):969-980. |
|
Perkins JM (1972). The principal component analysis of genotype-environmental interactions and physical measures of the environment. Heredity 29(1):51-70. |
|
Perkins JM, Jinks JL (1968). Environmental and genotype-environmental components of variability. 3. Multiple lines and crosses. Heredity 23(3):339-356. |
|
Piepho HP (1997). Analyzing genotype-environment data by mixed models with multiplicative terms. Biometrics pp. 761-766. |
|
Piepho HP (1998). Empirical best linear unbiased prediction in cultivar trials using factor-analytic variance-covariance structures. Theor. Appl. Genet. 97(1-2):195-201. |
|
Plaisted RL, Peterson LC (1959). A technique for evaluating the ability of selections to yield consistently in different locations or seasons. Am. Potato J. 36(11):381-385. |
|
Ramburan S, Zhou M, Labuschagne M (2011). Interpretation of genotype× environment interactions of sugarcane: Identifying significant environmental factors. Field Crops Res. 124(3):392-399. |
|
Resende MDV (2007). Matemática e estatística na análise de experimentos e no melhoramento genético. Colombo: Embrapa Florestas. P 362. |
|
Resende MDV, Thompson R (2004). Factor analytic multiplicative mixed models in the analysis of multiple experiments. Rev. Mat. Estat. 22(2):31-52. |
|
Rodrigues WP, Vieira HD, Barbosa DH, Souza Filho GR, Candido LS (2013). Adaptability and genotypic stability of Coffea arabica genotypes based on REML/BLUP analysis in Rio de Janeiro State, Brazil. Genet. Mol. Res. 12(3):2391-2399. |
|
Salmon SC (1951). Analysis of variance and long-time variety tests of wheat. Agron. J. 43(11):562-570. |
|
Samonte SOP, Wilson LT, McClung AM, Medley JC (2005). Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Sci. 45(6):2414-2424. |
|
Sandison A, Bartlett BO (1958). Comparison of varieties for yield. J. Nat. Inst. Agric. Bot. 8:351-357. |
|
Schaeffer LR (2004). Application of random regression models in animal breeding. Livest. Prod. Sci. 86(1):35-45. |
|
Schlichting CD (1986). The evolution of phenotypic plasticity in plants. Ann. Rev. Ecol. Syst. pp. 667-693. |
|
Schlichting CD, Levin DA (1986). Effects of inbreeding on phenotypic plasticity in cultivated Phlox. Theor. Appl. Genet. 72(1):114-119. |
|
Searle SR, Casella G, McCulloch CE (1992). Variance components. Hoboken: John Wiley & Sons. P 528. |
|
Shukla GK (1972). Some statistical aspects of partitioning genotype environmental components of variability. Heredity 29(2):237-245. |
|
Silva GO, Carvalho ADF, Vieira JV, Fritsche-Neto R (2012). Adaptabilidade e estabilidade de populações de cenoura. Hortic. Bras. 30(1):80-83. |
|
Silveira LCID, Kist V, Paula TOMD, Barbosa MHP, Peternelli LA, Daros E (2013). AMMI analysis to evaluate the adaptability and phenotypic stability of sugarcane genotypes. Scientia Agricola 70(1):27-32. |
|
Sprague GF, Federer WT (1951). A comparison of variance components in corn yield trials: II. Error, year x variety, location x variety, and variety components. Agron. J. 43(11):535-541. |
|
Thennarasu K (1995). On certain non-parametric procedures for studying genotype–environment interactions and yield stability. Ph.D. thesis. P.J. School, IARI, New Delhi, India. |
|
Thomason WE, Phillips SB (2006). Methods to evaluate wheat cultivar testing environments and improve cultivar selection protocols. Field Crops Res. 99(2):87-95. |
|
Torricelli R, Ciancaleoni S, Negri V (2014). Performance and stability of homogeneous and heterogeneous broccoli (Brassica oleracea L. var. italica Plenck) varieties in organic and low-input conditions. Euphytica 199(3):385-395. |
|
Van Eeuwijk FA, Denis JB, Kang MS (1996). Incorporating additional information on genotypes and environments in models for two-way genotype by environment tables. In: Kang MS, Gauch HG (eds). Genotype-by-environment interaction. Boca Raton: CRC Press. pp. 15-49. |
|
Van Eeuwijk FA, Malosetti M, Yin X, Struik PC, Stam P (2005). Statistical models for genotype by environment data: From conventional ANOVA models to eco-physiological QTL models. Crop Pasture Sci. 56(9):883-894. |
|
Vargas M, Crossa J, Sayre K, Reynolds M, Ramírez ME, Talbot M (1998). Interpreting Genotype x Environment Interaction in Wheat by Partial Least Squares Regression. Crop Sci. 38(3):679-689. |
|
Vargas M, Van Eeuwijk FA, Crossa J, Ribaut JM (2006). Mapping QTLs and QTL× environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods. Theor. Appl. Genet. 112(6):1009-1023. |
|
Verardi CK, Resende MD, Costa RD, Gonçalves PDS (2009). Adaptabilidade e estabilidade da produção de borracha e seleção em progênies de seringueira. Pesquis. Agropecuária Bras. 44(10):1277-1282. |
|
Voltas J, Lopez-Corcoles H, Borras G (2005). Use of biplot analysis and factorial regression for the investigation of superior genotypes in multi-environment trials. Eur. J. Agron. 22(3):309-324. |
|
Weisberg S (2005). Applied Linear Regression. Wiley Series in Probability and Mathematical Statistics. Hoboken: John Wiley & Sons. P 310. |
|
Williams W (1960). Relative variability of inbred lines and F1 hybrids in Lycopersicum esculentum. Genetics 45(11):1457. |
|
Witcombe JR, Whittington WJ (1971). Study of the genotype by environment interaction shown by germinating seeds of Brassica napus. Heredity 26:37-41. |
|
Wood JT (1976). The use of environmental variables in the interpretation of genotype-environment interaction. Heredity 37(1):1. |
|
Wricke G (1962). On a method of understanding the biological diversity in field research. Z. Pfl.- Zücht 47:92–146. |
|
Yan W, Hunt LA, Sheng Q, Szlavnics Z (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Sci. 40(3):597-605. |
|
Yan W, Tinker NA. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Can. J. Plant Sci. 86(3):623-645. |
|
Yates F, Cochran WG (1938). The analysis of groups of experiments. J. Agric. Sci. 28(04):556-580. |
|
Yokomizo GKI, Duarte JB, Vello NA, Unfried JR (2013). Análise AMMI da produtividade de grãos em linhagens de soja selecionadas para resistência à ferrugem asiática. Pesquis. Agropecuária Bras. 48(10):1372-1380. |
|
Zobel RW, Wright MJ, Gauch HG (1988). Statistical analysis of a yield trial. Agron. J. 80(3):388-393. |
|
Copyright © 2025 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0