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Assessment of grain yield stability in soybean (Glycine max (L.) merril) genotypes with various parameters | ||
| Iran Agricultural Research | ||
| دوره 45، شماره 1، 2026، صفحه 90-98 اصل مقاله (469.89 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22099/iar.2026.51160.1633 | ||
| نویسندگان | ||
| Mahdieh Roshandel1؛ Alireza Pourmohammad* 1؛ Hamidreza Babaei2 | ||
| 1Department of Plant Production and Genetics, Faculty of Agriculture, University of Maragheh, Maragheh, East Azerbaijan, I. R. Iran | ||
| 2Department of Agricultural and Horticultural Research, Research Center, Agricultural Education and Natural Resources of Khorasan Razavi, Agricultural Education and Extension Research Organization, Mashhad, I. R. Iran | ||
| چکیده | ||
| Knowledge of genotype × environment interactions (GEI) and yield stability is essential for developing new cultivars with improved adaptation to diverse environmental constraints. Soybean (Glycine max (L.) Merrill) is a major source of food, protein, and oil; therefore, enhancing its yield under varying conditions remains an important research priority. In this study, the stability of soybean genotypes for grain yield was evaluated across four regions of Iran in 2019. The effects of environment, genotype, and their interaction on grain yield were all significant. The environment and GEI components contributed the largest proportions to the total sum of squares, highlighting their strong influence on soybean performance and the importance of stability assessment. Consequently, several stability analyses were conducted to identify stable genotypes. A comprehensive set of stability parameters was employed, including environmental variance, coefficient of variability (CVi), Wricke’s ecovalence (Wi), Shukla’s stability variance (σ2i), coefficient of determination (Ri2), Eberhart and Russell’s joint linear regression, Tai’s regression analysis, deviation from regression (S2di), and the α and λ stability parameters in Tai’s model. Based on environmental variance and the methods of Roemer and Francis and Kannenberg, genotypes 16, 19, and 13 were identified as the most stable. According to Shukla’s stability variance (σ2i) and Wi, genotypes 19 and 16 were classified as both high-yielding and stable. Tai’s regression analysis placed genotypes 1, 16, and 19 within the stability zone. Among them, genotypes 16 and 19 were preferred due to their superior yields and were therefore considered stable genotypes. Overall, integrating the results of all stability parameters indicated that genotype 19 was the most stable and is recommended for cultivation across all regions. This study demonstrates the accuracy and effectiveness of multiple stability assessment methods in identifying stable soybean genotypes. | ||
| کلیدواژهها | ||
| Genotype × environment interaction؛ Grain yield؛ Stability analysis | ||
| مراجع | ||
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Abdelghany, A. M., Zhang, S., Azam, M., Shaibu, A. S., Feng, Y., Qi, J., Li, J., Li, Y., Tian, Y., Hong, H., Lamlom S. F., Li, B., & Sun, J. (2021). Exploring the phenotypic stability of soybean seed compositions using multi-trait stability index approach. Agronomy, 11(11), 2200.
Abebe, A. T., Adewumi, A. S., Adebayo, M. A., Shaahu, A., Mushoriwa, H., Alabi, T., Derera, J., Agbona, A. & Chigeza, G. (2024). Genotype x environment interaction and yield stability of soybean (Glycine max L.) genotypes in multi-environment trials (METs) in Nigeria. Heliyon, 10(19), e38097.
Agwu, A. E., Ellah, J., Ekweagwu, E., & Iwuchukwu, J. C. (2008). Consumption patterns and intra-household roles in the production, processing and marketing of soybeans in the Northern Agricultural Zone of Benue State, Nigeria. African Journal of Biotechnology, 8, 605-613. https://doi.org/10.5897/AJB2009.000-9102
Aslam, M., Khan, N. A., & Mirza, M. S. (2002). Soybean seed yield and its components as affected by different irrigation regimes at different reproductive stages. Pakistan Journal of Agricultural Research, 17, 309-313.
Chen, H., Chung, M. C., Tsai, Y. C., Wei, F. J., Hsieh, J. S., & Hsing, Y. (2015). Distribution of new satellites and simple sequence repeats in annual and perennial Glycine species. Botanical Studies, 56, 22. https://doi.org/10.1186/s40529-015-0103-9
Comstock, R. E., & Moll, R. H. (1963). Genotype × environment interactions. Symposium on Statistical Genetics and Plant Breeding. National Academy Science and National Research Council. Washington D. C., USA.
Dugje, I. Y., Omoigui, L. O., & Ekeleme, F. (2009). Guide to soybean production in Northern Nigeria. Nigeria: International Institute of Tropical Agriculture, Ibadan.
Ebdon, J. S., & Gauch, H. G. (2002). Additive main effect and multiplicative interaction analysis of national turf grass performance trials: I. Interpretation of genotype × environment interaction. Crop Science, 42, 489-496. https://doi.org/10.2135/cropsci2002.4970
Eberhart, S. A., and Russell, W. A. (1966). Stability parameters for comparing varieties. Crop Science, 6, 36-40. https://doi.org/10.2135/cropsci1966.0011183X000600010011x
El-Aty, M. S. A., Abo-Youssef, M. I., Sorour, F. A., Salem, M., Gomma, M. A., Ibrahim, O. M., Yaghoubi Khanghahi, M., Al-Qahtani, W. H., Abdel-Maksoud, M. A., & El-Tahan, A. M. (2024). Performance and stability for grain yield and its components of some rice cultivars under various environments. Agronomy, 14(9), 2137. https://doi.org/10.3390/agronomy14092137
Francis, T. R., & Kannenberg, L. W. (1978). Yield stability studies in short season maize: I. A descriptive method for grouping genotypes. Canadian Journal of Plant Science, 58, 1029–1034. https://doi.org/10.4141/cjps78-157.
Ghaed-Rahimi, L., Heidari, B., Dadkhodaie, A. (2015). Genotype × environment interactions for wheat grain yield and antioxidant changes in association with drought stress. Archives of Agronomy and Soil Science, 61 (2), 153-171. https://doi.org/10.1080/03650340.2014.926004
Gauch, H. G. (1988). Model selection and validation for yield trials with interaction. Biometrics, 44, 705-715. https://doi.org/10.2307/2531585
Habtegebriel, M. H. (2022). Adaptability and stability for soybean yield by AMMI and GGE models in Ethiopia. Frontiers in Plant Science, 13, 950992.
Hassani, M., Heidari, B., Dadkhodaie, A. (2018). genotype by environment interaction components underlying variations in root, sugar and white sugar yield in sugar beet (Beta vulgaris L.). Euphytica, 214, (79), 1-21.
Hallauer, A. R., & Miranda, J. B. (1983). Quantitative genetics in maize breeding. Iowa: Iowa State University Press, Ames, USA. https://doi.org/10.1007/978-1-4419-0766-0
Karimizadeh, R., Mohammadi, M., Sabaghnia, N., & Shefazadeh, M. K. (2012). Using different aspects of stability concepts for interpreting genotype by environment interaction of some lentil genotypes. Australian Journal of Crop Science, 6 (6), 1017-1023.
Kang, M. S., Aggarwal, V. D., & Chirwa, R. M. (2006). Adaptability and stability of bean cultivars as determined via yield-stability statistic and GGE biplot analysis. Journal of Crop Improvement, 15, 97–120. https://doi.org/10.1300/J411v15n01_08
Kobraee, S., Shamsi, K., & Rasekhi, B. (2011). Soybean production under water deficit condition. Annals of Biological Research, 2, 423-434.
Magari, R., & Kang M. S. (1993). Genotype selection via a new yield stability statistic in maize yield trials. Euphytica, 70, 105-111. https://doi.org/10.1007/BF00029647
Matei, G., Benin, G., Woyann, L. G., Dalló, S. C., Milioli, A. S., & Zdziarski, A. D. (2017). Agronomic performance of modern soybean cultivars in multi-environment trials. Pesquisa Agropecuária Brasileira, 52(07), 500-511.
Perkins, J. M., & Jinks, J. L. (1968). Environmental and genotype environmental components of variability. III. Multiple lines and crosses. Heredity, 23, 339-356. https://doi.org/10.1038/hdy.1968.48
Pinthus, M. J. (1973). Estimate of genotypic value: A proposed method. Euphytica, 22, 121-123. https://doi.org/10.1007/BF00021563
Rani, R., Raza, G., Ashfaq, H., Rizwan, M., Shimelis, H., Tung, M. H., & Arif, M. (2023). Analysis of genotype× environment interactions for agronomic traits of soybean (Glycine max [L.] Merr.) using association mapping. Frontiers in Genetics, 13, 1090994.
Rao, M. S., Mullinix, B. G., Rangappa, M., Cebert, E., Bhagsari, A. S., Sapra, V. T., Joshi, J. M., & Dadson, R. B. (2002). Genotype × environment interactions and yield stability of food-grade soybean genotypes. Agronomy Journal, 94, 72-80. https://doi.org/10.2134/agronj2002.7200
Roemer, J. (1917). Sinde die ertagdreichen Sorten ertagissicherer? DLG-Mitteilungen, 32, 87-89 (In German with an abstract in English).
Safavi, S. M., Bahraminejad, S. & Beheshtizadeh, H. (2025). Grain yield stability analysis of oat (Avena sativa L.) genotypes using univariate parametric and non-parametric methods. Cereal Biotechnology and Biochemistry, 4(1), 66-91. https://doi.org/10.22126/cbb.2024.11410.1093
SAS Institute (2014). SAS STAT User’s Guide; SAS Institute Incorporation. New York: United States.
Shahriari, Z., Heidari, B., Dadkhodaie, A., (2018). Dissection of genotype × environment interactions for mucilage and seed yield in Plantago species: Application of AMMI and GGE biplot analyses. PLOS ONE 13(5), e0196095. https://doi.org/org/10.1371/journal.pone.0196095
Shukla, G. K. (1972). Some statistical aspects of partitioning genotype–environmental components of variability. Heredity, 29, 237–245. https://doi.org/10.1038/hdy.1972.87
Souri Laki, E., Rabiei, B., Jokarfard, V., Shahbazi Miyangaskari, M., Marashi, H., & Börner, A. (2025). Evaluation of genotype × environment interactions in quinoa genotypes (Chenopodium quinoa Willd.). Agriculture, 15(5), 515. https://doi.org/10.3390/agriculture15050515
Sritongtae, C., Monkham, T., Sanitchon, J., Lodthong, S., Srisawangwong, S., Chankaew, S. (2021). Identification of superior soybean cultivars through the indication of specific adaptabilities within duo-environments for year-round soybean production in northeast Thailand. Agronomy, 11, 585. https://doi.org/10.3390/agronomy11030585
Tai, G. C. C. (1971). Genotypic stability analysis and its application to potato regional trials. Crop Science, 11, 184–190. https://doi.org/10.2135/cropsci1971.0011183X001100020006x
Vymyslický, T., Trněný, O., Rietman, H., Balko, C., Đorđević, V., Ranđelović, P., & Dybová, M. (2025). Phenotypic characterization of soybean genetic resources at multiple locations: breeding implications for enhancing environmental resilience, yield and protein content. Frontiers in Plant Science, 16, 1422162.
Wricke, G. (1962). On a method of understanding the biological diversity in field research. Z. Pflanzenzüchtg, 47, 92–96 (in German with an abstract in English).
Yirga, M., Sileshi, Y., Tesfaye, A., & Hailemariam, M. (2022). Genetic variability and association of traits in soybean (Glycine max (L.) genotypes in Ethiopia. Ethiopian Journal of Crop Science, 9, 49–74. | ||
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