ارزیابی برهمکنش ژنوتیپ × محیط بر عملکرد هیبریدهای جدید سورگوم علوفه‌ای با استفاده از روش GGEبای‌پلات

Al-Naggar, A. M. M., Abd El-Salam, R. M., Asran, M. R., & Yaseen, Y. S. (2018). Yield adaptability and stability of grain sorghum genotypes across different environments in Egypt using AMMI and GGE-biplot models. Annual Research & Review in Biology, 23(3), 1-16. https://doi.org/ 10.9734/ARRB/2018/39491

Arif, A., Parveen, N., Waheed, M. Q., Atif, R. M., Waqar, I., & Shah, T. M. (2021). A comparative study for assessing the drought-tolerance of chickpea under varying natural growth environments. Frontiers in Plant Science, 11, 22-28. https://doi.org/10.3389/fpls.2020.607869

Azon, C. F., Hotegni, V. N. F., Sogbohossou, D. E. O., Gnanglè, L. S., Bodjrenou, G., Adjé, C. O., Dossa, Bangar, S.P., & Kajla, P. (2022). Introduction: Global Status and Production of Faba Bean. In: Punia Bangar, S. and Bala Dhull, S. (Eds) Faba Bean: Chemistry, Properties and Functionality. Springer, Cham. https://doi.org/10.1016/j.heliyon.2023.e21656

Batista, P. S. C., Menezes, C. B., Carvalho, A. J., Portugal, A. F., Bastos, E. A., Cardoso, M. J., Santos, C.V., & Julio M. P. M. (2017). Performance of grain sorghum hybrids under drought stress using GGE biplot analyses. Genetics and Molecular Research, 16(3), 111-135. https://doi.org/10.4238/gmr16039761

Demelash, H. (2024). Genotype by environment interaction, AMMI, GGE biplot, and mega environment analysis of elite Sorghum Sorghum bicolor (L.) Moench genotypes in humid lowland areas of Ethiopia. Heliyon, 10 (2024) 1-13. https://doi.org/10.1016/j.heliyon.2024.e26528

Enyew, M., Feyissa, T., Geleta, M., Tesfaye, K., Hammenhag, C., & Carlsson, A. S. (2021). Genotype by environment interaction, correlation, AMMI, GGE biplot and cluster analysis for grain yield and other agronomic traits in sorghum Sorghum bicolor (L.) Moench. Plos One, 16(10), 0258211. https://doi.org/10.1371/journal.pone.0258211

Feyzbakhsh, M. T. (2017). Effect of plant density on some morphological traits and quantitative and qualitative yeild of forage sorghum hybrids in golestan province. Seed and plant production, 32(2), 223-237. (In Persian). https://doi.org/22092/SPPJ.2016.113080

 Figueiredo, U. J., Nunesl, J. A. R., Parrella, R. A. C., Souza, E. D., Silva, A. R., Emygdio, B. M., Machado, J. R. A., & Tardin, F. D. (2015). Adaptability and stability of genotypes of sweet sorghum by GGE Biplot and Toler methods. Genetics and Molecular Research, 14(3), 11211-11221. https://doi.org  10.4238/2015.September.22.15.                                                                                                              

Ghaffar, M., Asghar, M. J., & Shahid, M. (2023). Estimation of G × E interaction of lentil genotypes for yield using AMMI and GGE biplot in Pakistan. Journal of Soil Science and Plant Nutrition, 23, 2316–2330. (In Persian). https://doi.org/10.1007/s42729-023-01182-x

Greveniotis, V., Bouloumpasi, E., Zotis, S., Korkovelos, A., Kantas, D., & Ipsilandis, C. G. (2023). Genotype-by-environment interaction analysis for quantity and quality traits in faba beans using AMMI, GGE models, and stability indices. Plants, 12, 3769. https://doi.org/10.3390/plants12213769

Khan, M. M. H., Rafii, M. Y., Ramlee, S. I., Jusoh, M., & Mamun, A. M. (2021). AMMI and GGE biplot analysis for yield performance and stability assessment of selected Bambara groundnut (Vigna subterranean L. Verdc.) genotypes under the multi-environmental trials (METs). Scientific Reports, 11, 22791. https://doi.org/10.1038/s41598-021-01411-2

Khazaei, A., Torabi, M., Feyzbakhsh, M. T., & Azari Nasrabad, A., (2021). Analysis of grain yield stability and assessment of genotype × environment interaction for grain sorghum [Sorghum bicolor (L.) Moench] genotypes. Iranian Journal of Crop Sciences, 23(3), 211-222. (In Persian). https://doi.org/20.1001.1.15625540.1400.23.3.2.0

Khazaei, A., Torabi, M., Mokhtarpour, H., & Beheshti, A. R. (2019). Evalaution of yield stability of forage sorghum Sorghum bicolor (L.) Moench using AMMI analysis. Iranian Journal of Crop Sciences, 21(3), 225-236 (In Persian). https://doi.org/10.29252/abj.21.3.225

Mohammadi, R., Jafarzadeh, J., Poursiahbidi, M. M., & Hatamzadeh, H. (2023). Genotype-by-environment interaction and stability analysis for grain yield in durum wheat using GGE biplot and genotypic and environmental covariates. Agricultural Research, 12, 364–374 (In Persian). https://doi.org/10.1007/s40003-023- 00661-y

Rakshit, S., Ganapathy, K. N., Gomanshe, S. S., Dhandapani, A., Swapna, M., Ehtre, S. P., &Gadakh, S. R. (2017). Analysis of Indian post-rainy sorghum multi-location trial data reveals complexity of genotype × environment interaction. The Journal of Agricultural Science, 155(1), 44-59. https://doi.org/10.1017/S0021859616000137

Rao, P. S., Reddy, P. S., Rathore, A., & Reddy, B. V. S., (2011). Application GGE biplot and AMMI model to evaluate sweet sorghum (Sorghum bicolor) hybrids for genotype x environment interaction and seasonal adaptation. Indian Journal Agricultural Sciences, 81, 438-444.

Rezene, Y. (2019). GGE-Biplot analysis of multi-environment yield trials of common bean (Phaseolus vulgaris L.) in the southern Ethiopia. Journal of Plant Studies, 8, 35. https://doi.org/ 10.5539/jps.v8n1p35

Sheikh, F., Nazari, H., & Fanaei, H. (2022)a. Graphic analysis of trait relations and stability of faba bean genotypes using the biplot method. Journal of Crop Production, 15(2), 117-135 (In Persian). https://doi.org/10.22069/ejcp.2022.19563.2457

Sheikh, F., Sekhavat, R., Asteraki, H., Parkasi, A., & Aghajani, M. A. (2021)a. Evaluation of seed yield stability of faba bean (Vicia faba L.) genotypes using GGE biplot analysis. Journal of Crop Production and Processing, 11(3), 85-99 (In Persian). https://doi:10.47176/jcpp.11.3.36412

Sheikh, F., Sharifi, P., Asteraki, H., Miri, K., & Sekhavat, R. (2021)b. Evaluation stability of seed yield of faba bean (Vicia faba L.) genotypes by parametric and non-parametric methods. Journal of Crop Production, 14(3), 125-144. (In Persian). https://doi:10.22069/EJCP.2022.18908.2411

Sheikh. F., Sekhavat. R., & Aghajani, M. (2022)b. Evaluation of resistance to leaf spot diseases and yield characteristics in faba bean genotypes through cluster analysis and Genotype by Trait Biplot. Journal of Crop Breeding, 14(44),131-147 (In Persian). https://doi:10.52547/jcb.14.44.131

Singh, C., Gupta, A., Gupta, V., Kumar, P., Sendhil, R., Tyagi, B. S. Singh, G., Chatrath, R., & Singh, G. P. (2019). Genotype×environment interaction analysis of multi-environment wheat trials in India using AMMI and GGE biplot models. Crop Breeding and Applied Biotechnology, 19, 309-318.  https://doi.org/10.1590/1984-70332019v19n3a43

Tavazoh, M., Habibi, D., Golzardi, F., Ilkaee, M. N., & Paknejad, F. 2022. Evaluation of yield, water productivity, and drought tolerance of forage sorghum [Sorghum bicolor (L.) Moench] cultivars under different irrigation methods and regimes. Cereal Research, 12 (2), 115-133. https://doi.org/10.22124/CR.2023.23165.1744

Tolessa, T., Gemechu, K., Tadesse, G., Jarso, M., & Bekele, Y. (2013). Genotype × environment interaction and performance stability for grain yield in field pea (Pisum sativum L.) genotypes. International Journal of Plant Breeding, 7, 116-123. https://doi.org/10.1002/agj2.21268

Tolessa, T.T., Keneni, G., Mohammed, H., &  Ahmed, S. K. (2019). Decades of faba bean (Vicia faba L.) breeding for better grain yield and seed size has inadvertently reduced G × E interaction and increased inter-temporal performance stability. Journal of Crop Science and Biotechnology, 22, 265–274. https://doi. 10.1007/s12892-019-0071-0

Yan, W. (2016). Analysis and handling of G×E in a practical breeding program. Crop Science, 56, 2106-2118. https://doi.org/10.2135/cropsci2015.06.0336

Yan, W., & Kang, M. S. (2003). GGE biplot analysis: a graphical tool for breeders, geneticists and agronomists, CRC Press LLC., Boca Raton, Florida, USA. https://doi.org/10.1201/9781420040371

Yan, W., Hunt, L. A., Sheng Q., & Szlavnics, Z. (2000). Cultivar evaluation and mega environment investigations based on the GGE biplot. Crop Science, 40, 597-605. https://doi.org/10.2135/cropsci2000.403597x