1. Burgueno, J., Cadena, A., Crossa, J., Banziger, M., Gilmour, A. and Cullis, B. (2000). Users Guide for Spatial Analysis of Field Variety Trials Using ASREML, Cimmyt, Mixico. 2. De Abreu, H.K.A., Ceccon, G., Correa, A.M., Fachinelli, A., Yamamoto, E.L. and MTeodoro, P.E. (2019). Adaptability and stability of cowpea genotypes via REML-BLUP and GGE Biplot. Bioscience Journal, 35(4): 1071-1082. [ DOI:10.14393/BJ-v35n4a2019-42125] 3. Dehghani, H., Sabaghpour, S.H. and Sabaghnia, N. (2008). Genotype × environment interaction for grain yield of some lentil genotypes and relationship among univariate stability statistics. Spanish Journal of Agricultural Research, 6(3): 385-394. [ DOI:10.5424/sjar/2008063-5292] 4. Donoso-Ñanculao, G., Paredes, M., Becerra, V., Arrepol, C. and Balzarini, M. (2016). GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate. Chilean Journal of Agricultural Research, 76(2): 152-157. [ DOI:10.4067/S0718-58392016000200003] 5. FAO. (2021). FAOSTAT. Food and Agricultural Organization of the United Nations. Available at http://www.fao.org/faostat/en/#data/QC. FAO. Rome, Italy. 6. Gauch, H.G. and Zobel, R.W. (1997). Identifying mega -environments and targeting genotypes. Iranian Journal of Crop Sciences, 37(1): 311-326. [ DOI:10.2135/cropsci1997.0011183X003700020002x] 7. Gauch, H.G. (1988). Model selection and validation for yield trials with interaction. Biometrics, 44(3): 705-715. [ DOI:10.2307/2531585] 8. Hemdane, S., Jacobs, P.J., Dornez, E., Verspreet, J., Delcour, J.A. and Courtin, C.M. (2016). Wheat (Triticum aestivum L.) bran in bread making: a critical review. Comprehensive Reviews in Food Science and Food Safety, 15(1): 28-42. [ DOI:10.1111/1541-4337.12176] 9. Karimizadeh, R., Pezeshkpour, P., Barzali, M., Mehraban, A. and Sharifi, P. (2021). Evaluation the mean performance and stability of lentil genotypes by combining features of AMMI and BLUP techniques. Journal of Crop Breeding, 12(36): 160-170 (In Persian). [ DOI:10.52547/jcb.12.36.160] 10. Kempton, R.A. (1984) The use of the bi-plots in interpreting variety by environment interactions. Journal of Agricultural Science, 103: 123-135. [ DOI:10.1017/S0021859600043392] 11. Lin, C.S. and Binns, M.R. (1988). A method of analyzing cultivar× location× year experiments: a new stability parameter. Theoretical and Applied Genetics, 75: 425-430. [ DOI:10.1007/BF00265344] 12. Mahdavi, A.M., Babaeian Jelodar, N., Farshadfar, E. and Bagheri N. (2020). Evaluation of stability and adaption of bread wheat genotypes using univariate statistics parameters and AMMI. Plant Genetic Researches, 7(1): 19-32 (In Persian). [ DOI:10.52547/pgr.7.1.2] 13. Moradpour, G., Ahmadi, H., Bagheri, M. and Guderzi, D. (2022). Evaluation of stability and adaptability in the selected lines of some iranian eggplant (Solanum melongena L.) by AMMI and GGE biplot methods. Plant Genetic Researches, 9(1): 135-146 (In Persian). [ DOI:10.52547/pgr.9.1.10] 14. Najafi Mirak, T., Dastfal, M., Andarzian, B., Farzadi, H., Bahari, M. and Zali, H. (2018). Assessment of non - parametric methods in selection of stable genotypes of durum wheat (Triticum turgidum L. var. durum). Iranian Journal of Crop Sciences, 19(2): 126-138 (In Persian). 15. Olivoto, T., Nardino, M., Carvalho, I.R., Follmann, D.N., Ferrari, M., Szareski, V.J., de Pelegrin, A.J. and de Souza, V.Q. (2017). REML/BLUP and sequential path analysis in estimating genotypic values and interrelationships among simple maize grain yield -related traits. Genetics and Molecular Research, 16(1): 1-19. [ DOI:10.4238/gmr16019525] 16. Olivoto, T., Lúcio, A.D.C., Da Silva, J.A.G., Marchioro, V.S., De Souza, V.Q. and Jost, J. (2019). Mean performance and stability in multi-environment trials I: combining features of AMMI and BLUP techniques. Agronomy Journal, 111(6): 2949-2960. [ DOI:10.2134/agronj2019.03.0220] 17. Quddus, M.R., Rahman, M.A., Jahan, N., Debsharma, S.K., Disha, R.F., Hasan, M.M., Aditya, T.L., Iftekharuddaula, K.M. and Collard, B.Y. (2019). Estimating pedigree-based breeding values and stability parameters of elite rice breeding lines for yield under salt stress during the Boro season in Bangladesh. Plant Breeding and Biotechnology, 7(3): 257-271. [ DOI:10.9787/PBB.2019.7.3.257] 18. Sharifi, P., Abbasian, A. and Mohaddesi, A. (2021). Evaluation the mean performance and stability of rice genotypes by combining features of AMMI and BLUP techniques and selection based on multiple traits. Plant Genetic Researches, 7(2): 163-180 (In Persian). [ DOI:10.52547/pgr.7.2.13] 19. Smith, A.B., Cullis, B.R. and Thompson, R. (2005). The analysis of crop cultivar breeding and evaluation trials: An overview of current mixed model approaches. Journal of Agricultural Science, 143(1): 449-462. [ DOI:10.1017/S0021859605005587] 20. Yang, R.C. (2002). Likelihood-based analysis of genotype-environment interactions. Crop Science, 42: 1434-1440. [ DOI:10.2135/cropsci2002.1434] 21. Yang, R.C. (2010). Towards understanding and use of mixed-model analysis of agricultural experiments. Canadian Journal of Plant Science, 90: 605-627. [ DOI:10.4141/CJPS10049] 22. Zeinalzadeh-Tabrizi, H., Mansouri, S. and Fallah-Toosi, A. (2021). Evaluation of seed yield stability of promising sesame lines using different parametric and nonparametric methods. Plant Genetic Researches, 8(1): 43-60 (In Persian). [ DOI:10.52547/pgr.8.1.4]
|