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

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، بخش تحقیقات زراعی و باغی، مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان گلستان، سازمان تحقیقات، آموزش و ترویج کشاورزی، گرگان، ایران

2 دانشیار،موسسه تحقیقات اصلاح و تهیه نهال و بذر، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایران

10.22034/plant.2025.143212.1151

چکیده

در این تحقیق ده هیبرید سورگوم علوفه‌ای و هیبرید شاهد (اسپیدفید)، در دو منطقه کرج و گرگان به مدت دو سال زراعی 1403-1402و 1402-1401 مورد بررسی قرار گرفتند. آزمایش در قالب طرح بلوک‌های کامل تصادفی با سه تکرار انجام شد. هر کرت شامل چهار خط چهار متری با فواصل ردیف 60 سانتی‌متر و فواصل بوته‌ها روی خطوط کاشت، هشت سانتی‌متر بود. نتایج تجزیه واریانس مرکب داده‌ها نشان داد که اثرات ژنوتیپ، محیط و برهم‌کنش آن­ها بر عملکرد علوفه تر و خشک معنی‌دار بود. بر اساس مدل GEI برای علوفه تر، 63 درصد از تغییرات کل مربوط به مؤلفه‌ اصلی اول و 1/20 درصد از تغییرات کل مربوط به مؤلفه‌ اصلی دوم بود که در مجموع 1/83 درصد از تغییرات کل را توجیه کردند بر اساس تجزیه و تحلیل GEI و GGE-Biplot، محیط‌ آزمایشی کرج در هر دو سال آزمایش از قدرت تفکیک خوبی برخوردار بود و به ‌عنوان مکان مناسب جهت گزینش هیبریدهای برتر شناخته شد. بر اساس نتایج حاصله هیبرید KHFS10 (A2×R109) مناسب علوفه تر (سال اول و دوم به ترتیب 5/129 و 9/126 تن در هکتار) و علوفه خشک (سال اول و دوم به ترتیب 9/25 و 8/27 تن در هکتار) در گرگان و مناطق دارای اقلیم مشابه مناسب شناخته شد. هیبریدهای KHFS3 (پگاه×AICS88005) وKHFS10 (A2×R109) برای علوفه تر و هیبرید KHFS3 (پگاه×AICS88005) از نظر علوفه خشک (سال اول و دوم به ترتیب4/32 و2/32 تن در هکتار) در کرج مناسب شناخته شدند.

کلیدواژه‌ها

عنوان مقاله [English]

Interaction of genotype × environment on new hybrids yeild of forage sorghoum (Sorghum bicolor (L.) Moench) using GGE biplot method

نویسندگان [English]

  • Mohammad Taghi Feyzbakhsh 1
  • Azim Khazaei 2
1 Associate Professor, Field and Horticultural Crops Science Research Department, Golestan Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Gorgan, Iran
2 Associate Professor, Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran
چکیده [English]

In this study, ten forage sorghum hybrids and the control hybrid (Speedfeed) were evaluated in two regions, Karaj and Gorgan, over two growing seasons 2023-2024 and 2022-2023.The experiment was conducted using a randomized complete block design with three replications. Each plot consisted of 4 rows, each 4 meters long, with row spacing of 60 centimeters and plant spacing of 8 centimeters within the rows. The results of combine variance analysis showed that the effects of genotype, environment and their interaction on wet and dry forage yield and other studied traits were significantly different. According to the GEI model for wet forage, 63% and 20.1% of the total variations were described by the first and second component, respectively which totally explained 83.1% of the total variations. Based on the analysis of GEI and GGE-Biplot, the experimental environment of Karaj had a good separation power in both years of the experiment and was recognized as a suitable place for selecting superior hybrids. Based on the data, hybrid KHFS10 (A2xR109) was suitable for wet forage (129.5 and 126.9 tons ha-1 in the first and second year, respectively) and dry forage yield (25.9 and 27.8 ton ha-1 in the first and second year, respectively) in Gorgan and similar climates. KHFS3 (Pegah×AICS88005) and KHFS10 (A2×R109) hybrids were suitable for wet forage and hybrid KHFS3 (Pegah×AICS88005) for dry forage (first and second year, respectively, 32.4 and 32.2 ton. ha-1) in Karaj.

کلیدواژه‌ها [English]

  • Genotype ×environment interaction (GEI)
  • Ideal genotype
  • Mega environment
  • Yield stability

مراجع

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

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