Abdulahi, A., Mohammadi, R., & Pourdad, S. S. (2007). Evaluation of safflower (
Carthamus spp.) genotypes in multi-environment trials by nonparametric methods.
Asian Journal of Plant Sciences,
6(5), 827–832.
https://doi.org/10.3923/ajps.2007.827.832
Aghaei-Sarbarze, M., Dastfal, M., Farzadi, H., Andarzian, B., Shahbazpour-Shahbazi A, Bahari, M., & Rostami, H. (2014). Evaluation of yield and yield stability of durum wheat genotypes in tropical and dried region of Iran.
Seed and Plant Improvement Journal,
28, 315-325. (In Persian).
https://doi.org/10.22092/spij.2017.111109
Amelework, A. B., Bairu, M. W., Marx, R., Laing, M., & Venter, S. L. (2023). Genotype × environment interaction and stability analysis of selected cassava cultivars in South Africa.
Plants,
12(13), 2490.
https://doi.org/10.3390/plants12132490
Farshadfar, E., Mahmudi, N., & Sheibanirad, A. (2014). Nonparametric methods for interpreting genotype×environment interaction in bread wheat genotypes. Journal of Biodiversity and Environmental Sciences, 4(3), 55–62.
Fox, P. N., Skovmand, B., Thompson, B. K., Braun, H. J., & Cormier, R. (1990). Yield and adaptation of hexaploid spring triticale.
Euphytica,
47(1), 57–64.
https://doi.org/10.1007/BF00040364
Haghpanah, M., Kazemitabar, S. K., Hashemi, S. H., & Alavi, S. M. (2015). Evaluation of Mazandaran nettle (
Urtica dioica) population structure and genetic diversity by AFLP markers.
Iranian Journal of Rangelands and Forests Plant Breeding and Genetic Research,
22(2), 241-250. (In Persian).
https://doi.org/10.22092/ijrfpbgr.2015.12227
Jamshidmoghaddam, M., & Pourdad, S. S. (2013). Genotype × environment interactions for seed yield in rainfed winter safflower (
Carthamus tinctorius L.) multi-environment trials in Iran.
Euphytica,
190(3), 357–369.
https://doi.org/10.1007/s10681-012-0776-z
Katsenios, N., Sparangis, P., Leonidakis, D., Katsaros, G., Kakabouki, I., Vlachakis, D., & Efthimiadou, A. (2021). Effect of genotype × environment interaction on yield of maize hybrids in Greece using AMMI analysis.
Agronomy,
11(3), 479.
https://doi.org/10.3390/agronomy11030479
Katsura, K., Tsujimoto, Y., Oda, M., Matsushima, K., Inusah, B., Dogbe, W., & Sakagami, J. I. (2016). Genotype-by-environment interaction analysis of rice (
Oryza spp.) yield in a floodplain ecosystem in West Africa.
European Journal of Agronomy,
73, 152–159.
https://doi.org/10.1016/j.eja.2015.11.014
Najafi Mirak, T., Dastfal, M., Andarzian, B., Farzadi, H., Bahari, M., & Zali, H. (2018). Stability analysis of grain yield of durum wheat promising lines in warm and dry areas using parametric and non-parametric methods.
Journal of Crop Production and Processing,
8(2), 79-96. (In Persian).
https://doi.org/10.29252/jcpp.8.2.79
Namdari, A., Pezeshkpoor, P., Mehraban, A., Mirzaei, A., & Vaezi, B. (2022a). Evaluation of grain yield stability of advanced rainfed lentil genotypes using multivariate AMMI method.
Journal of Crop Breeding,
14(42), 169-176. (In Persian).
https://doi.org/10.52547/jcb.14.42.169
Namdari, A., Pezeshkpour, P., Mehraban, A., Naseri, A., Vaezi, B., & Nazarli, H. (2022b). Evaluation the grain yield stability of promising rainfed lentil genotypes using parametric and non-parametric statistics.
Iranian Journal of Field Crop Science,
53(3), 145-159. (In Persian).
https://doi.org/10.22059/ijfcs.2021.330502.654854
Nassar, R., & Huehn, M. (1987). Studies on estimation of phenotypic stability: Tests of significance for nonparametric measures of phenotypic stability.
Biometrics,
43, 45–53.
https://doi.org/10.2307/2531947
Omrani, A., Omrani, S., Khodarahmi, M., Shojaei, S. H., Illés, Á., Bojtor, C., Mousavi, S. M. N., & Nagy, J. (2022). Evaluation of grain yield stability in some selected wheat genotypes using AMMI and GGE biplot methods.
Agronomy,
12(5), 1130.
https://doi.org/10.3390/agronomy12051130
Pezeshkpour, P., & Karimizadeh, R. (2023). Evaluation of the mean performance and stability of chickpea genotypes by integration AMMI and BLUP models and selection based on Multi-Trait Stability Index (MTSI).
Journal of Crop Breeding,
15(46), 73-83. (In Persian).
https://doi.org/10.61186/jcb.15.46.73
Pour-Aboughadareh, A., Khalili, M., Poczai, P., & Olivoto, T. (2022). Stability indices to deciphering the Genotype-by-Environment Interaction (GEI) effect: An applicable review for use in plant breeding programs.
Plants,
11(3), 414.
https://doi.org/10.3390/plants11030414
Senguttuvel, P., Sravanraju, N., Jaldhani, V., Divya, B., Beulah, P., Nagaraju, P., Manasa, Y., Prasad, A. S. H., Brajendra, P., Gireesh, C., Anantha, M. S., Suneetha, K., Sundaram, R. M., Madhav, M. S., Tuti, M. D., Subbarao, L. V., Neeraja, C. N., Bhadana, V. P., Rao, P. R., Voleti, S. R., & Subrahmanyam, D. (2021). Evaluation of genotype by environment interaction and adaptability in lowland irrigated rice hybrids for grain yield under high temperature.
Scientific Reports,
11(1), 15825.
https://doi.org/10.1038/s41598-021-95264-4
Singh, C., Gupta, A., Gupta, V., Kumar, P., Sendhil, R., Tyagi, B., Singh, G., Chatrath, R., & Singh, G. (2019). Genotype x environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models.
Crop Breeding and Applied Biotechnology,
19(3), 309–318.
https://doi.org/10.1590/1984-70332019v19n3a43
Song, W., Sun, S., Ibrahim, S. E., Xu, Z., Wu, H., Hu, X., Jia, H., Cheng, Y., Yang, Z., Jiang, S., Wu, T., Sinegovskii, M., Sapey, E., Nepomuceno, A., Jiang, B., Hou, W., Sinegovskaya, V., Wu, C., Gai, J., & Han, T. (2019). Standard cultivar selection and digital quantification for precise classification of maturity groups in soybean.
Crop Science,
59(5), 1997–2006.
https://doi.org/10.2135/cropsci2019.02.0095
Subedi, M., Khazaei, H., Arganosa, G., Etukudo, E., & Vandenberg, A. (2021). Genetic stability and genotype × environment interaction analysis for seed protein content and protein yield of lentil.
Crop Science,
61(1), 342–356.
https://doi.org/10.1002/csc2.20282
Sun, X., Ma, P., & Mumm, R. H. (2012). Nonparametric method for genomics-based prediction of performance of quantitative traits involving epistasis in plant breeding.
Plos One,
7(11), e50604.
https://doi.org/10.1371/journal.pone.0050604
Thennarasu, K. (1995). On certain non-parametric procedures for studying genotype environment interactions and yield stability. IARI, Division of Agricultural Statistics. New Delhi.
Zali, H., & Barati, A. (2020). Evaluation of selection index of ideal genotype (SIIG) in other to selection of barley promising lines with high yield and desirable agronomy traits.
Journal of Crop Breeding,
12(34), 93-104. (In Persian).
https://doi.org/10.29252/jcb.12.34.93
Zali, H., Farshadfar, E., & Sabaghpour, S. H. (2011). Non-parametric analysis of phenotypic stability in chickpea (Cicer arietinum L.) genotypes in Iran. Crop Breeding Journal, 1, 89-100. (In Persian).
Zeinalzadeh-Tabrizi, H., Mansouri, S., & 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).
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