Using AMMI model and its parameters for yield stability analysis of rice (Oryza sativa L.) advanced mutant genotypes of Tarrom-Mahalli

Aghaei-Sarbarze M., Dastfal M., Farzadi H., Andarzian B., Shahbazpour-Shahbazi A., Bahari M., and Rostami H. (2012). 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.

Ahloowalia B. S., Maluszynski M., and Nichterlein K. (2004). Global impact of mutation-derived varieties. Euphytica, 135: 187–204.

Ahmadikhoh A., Shojaeian H., Pahlevani M. H., and Nayyeripasand L. (2014). Study on ethyl methane sulfonate (EMS)-induced variability in morphological traits of rice and identification of
mutant lines with high yield potential. Plant Products Research Journal, 21: 47–65.

Ajay B. C., Bera S. K., Singh A. L., Narendra K., Gangadhar K., and Praveen K. (2020). Evaluation of genotype×environment interaction and yield stability analysis in peanut under phosphorus stress condition using stability parameters of AMMI model. Agricultural Research, 9: 477–486. https://doi.org/10.1007/s40003-020-00458-3.

Ajay B. C., Aravind J., and Abdul Fiyaz R. (2018) Ammistability: additive main effects and multiplicative interaction model stability parameters. https://cran.r-project.org/src/contrib/Archive/ammistability/.

Akter A., Hasan M. J., Kulsum M. U., Lipi L. F., Begum H., Rahman N. M. F., Farhat T., and Baki M. Z. I. (2019). Stability and adaptability of promising hybrid rice genotypes in different locations of Bangladesh. Advances in Plants & Agriculture Research, 9(1): 35–39.

Akter A., Hasan M. J., Kulsum U., Rahman M. H., Khatun M., and Islam M. R. (2015). GGE biplot analysis for yield stability in multi-environment trails of promising hybrid rice (Oryza sativa L.). Bangladesh Rice Journal, 19: 1–8.

Alemu B., Tesfaye K., Haileselassie T., and Lule D. (2017). Genotype by environment interactions and grain yield stability of released and advanced Desi type chickpea (Cicer arietinum L.) genotypes in western Ethiopia. International Journal for Biotechnology and Molecular Biology Research, 8: 30–37.

Annicchiarico P. (1997). Joint regression vs AMMI analysis of genotype-environment interactions for cereals in Italy. Euphytica, 94: 53–62.

Askarinia P., Saeidi G., and Rezai A. (2009). Pattern analysis of genotype×field environments interaction for grain yield in wheat using AMMI method. Electronic Journal of Crop Production, 2: 75–90. (In Persian)

Babarmanzoor A., Tariq M., Ghulam A., and Muhammad A. (2009). Genotype×environment interaction for seed yield in Kabuli Chickpea (Cicer arietinum L.) genotypes developed through mutation breeding. Pakistan Journal of Botany, 41: 1883–1890.

Bose L. K., Jambhulkar N. N., Pande K., and Singh O. N. (2014). Use of AMMI and other stability in simultaneous selection of rice genotypes for yield and stability under direct-seeded conditions. Chilean Journal of Agricultural Research, 74: 3–9.

Damavandi-Kamali S. (2007). Consideration of adaptation and stability of yield and yield components of modern genotypes of cotton in Golestan and Mazandaran provinces of Iran. MSc thesis. Sari Agricultural Sciences and Natural Resources University (SANRU), pp. 140. (In Persian)

Dehghani H., Sabaghpour S. H., and Ebadi A. (2010). Study of genotype×environment interaction for chickpea yield in Iran. Agronomy Journal, 102: 1–8.

Ebadi A., Abdollahi S., and Azizi H. (2016). Pattern analysis of genotype and year interaction for grain yield in mutant lines of rice (Oryza sativa L.) using AMMI multivariate method. Iranian Journal of Field Crop Science, 47: 565–573.

Ebdon J. S., and Gauch H. G. (2002). Additive main effect and multiplicative interaction analysis of national turf grass performance trials. II. Cultivar recommendations. Crop Science, 42: 497–506.

Farshadfar E. (2008). Incorporation of AMMI stability value and grain yield in a single non-parametric index (GSI) in bread wheat. Pakistan Journal of Biological Sciences, 11: 1791–1796.

Farshadfar E., Mahmodi N., and Yaghotipoor A. (2011). AMMI stability value and simultaneous estimation of yield and yield stability in bread wheat (Triticum aestivum L.). Australian Journal of Crop Science, 5: 1837–1844.

Gauche H. G. (1992). Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier, Amsterdam, pp. 278.

Gauche H. G., and Zobel R. W. (1997). Identifying mega–environments and targeting genotypes. Crop Science, 37: 311–326.

Gauch H. G., Piepho H. P., Annicchiarico P. (2008). Statistical Analysis of Yield Trials by AMMI and GGE: Further Considerations. Crop Science, 48: 866–889.

Ghodrati-Niari F., and Abdolshahi R. (2014). Evaluation of yield stability of 40 bread wheat (Triticum aestivum L.) genotypes using additive main effects and multiplicative interaction (AMMI). Iranian Journal of Crop Sciences, 16: 322–333.

Han Y., Luo D., Usman B., Nawaz G., Zhao N., Liu F., and Li R. (2018). Development of high yielding glutinous cytoplasmic male sterile rice (Oryza sativa L.) lines through CRISPR/Cas9 based mutagenesis of Wx and TGW6 and Proteomic Analysis of Anther. Agronomy, 8: 290.

Ilirjana S., Ariana Y., and Andon D. (2007). Induced mutations for improving production on bread and durum wheat. AIP Conference Proceedings, 899: 747–747.

Jambhulkar N. N., Bose L. K., and Singh O. N. (2014). AMMI stability index for stability analysis. In: Mohapatra, T. (Eds.), Central Rice Research Institute, Cuttack, Orissa. 35: 15–15.

Kang M. S. (1993). Simultaneous selection for yield and stability: Consequences for growers. Agronomy Journal, 85: 754–757

Kang M. S. (1998). Using genotype by environment interaction for crop cultivar development. Advances in Agronomy, 35: 199–240.

Karadavut U., Paltea C., and Kavurmaci Bolek Z. U. (2010). Some grain yield parameters of multi environmental trials in faba bean (Vicia faba) genotypes. International Journal of Agriculture and Biology, 12: 217–220.

Karimzadeh R., Asghari A., Chinpardaz R., Sofalian O., and Ghaffari A. (2016). Determining yield stability and model selection by AMMI method in rain-fed durum wheat genotypes. Turkish Journal Of Field Crops, 21: 174–183.

Lakew T., Tariku S., Alem T., and Betew M. (2014). Agronomic performances and stability analysis of upland rice genotypes in North West Ethiopia. International Journal of Scientific and Research Publication, 4: 1–10.

Li Y., Suontama M., Burdon R. D., and Dungey H. S. (2017). Genotype by environment interactions in forest tree breeding: review of methodology and perspectives on research and application. Tree Genetics & Genomes, 13: 1–18.

Mofidian S. M. A., and Moghaddam A. (2013). Analysis of ecotype×location interaction in cold-region alfalfa ecotypes. Iranian Journal of Crop Sciences, 15: 181–195.

Mohammadi R., Abdulahi A., Haghparast R., and Armion M. (2007). Interpreting genotype×environment interactions for durum wheat grain yields using non-parametric methods. Euphytica, 157: 239–251.

Mohammadi M., Sharifi P., Karimizadeh R., Alt-Jafarby J., Khanzdeh H., Hosseinpour T., Mahi-Poursiabidi M., Roustaii M., Hassanpour-Hosni M., and Mohammadi P. (2015). Stability of grain yield of durum wheat genotypes by AMMI model. Agriculture and Forestry, 181–193.

Mohammadi R., and Amri A. (2008). Comparison of parametric and non–parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica, 159: 419–432.

Mostafavi K., Hosseini Imani S., and Firoozi M. (2014). stability analysis of grain yield in lines and cultivars of rice (Oryza sativa L.) using AMMI (Additive Main effects and Multiplicative Interaction) method. Iranian Journal of Field Crop Science, 45: 445–452. (In Persian)

Mukherjee A. K., Mohapatra N. K., Bose L. K., Jambhulkar N. N., and Nayak P. (2013). Additive main effects and multiplicative interaction (AMMI) analysis of genotype×environment interactions in rice-blast pathosystem to identify stable resistant genotypes. African Journal of Agricultural Research, 44: 5492–5507.

Musila R. N., Sibiya J., Derera J., Kimani J. M., and Tongoona P. (2017). Genotype×environment interactions for grain yield in rice under no drought and drought conditions. African Journal of Plant Science, 11: 282– 293.

Nili A., Rabiei B., Allahgholipour M., and Ebadi A. (2017). Assessing molecular diversity and genetic relationships among rice (Oryza sativa L.) varieties. Cereal Research Communications, 7: 33–50. (In Persian)

Ogunbayo S. A., Sie M., Ojo D. K., Popoola A. R., Oduwaye O. A., Daniel I. O., Sanni K. A., Akinwale M. G., Toulou B., Shittu A., Gregorio G. B., and Mercado E. F. (2014). Comparative performance of forty-eight rice genotypes in diverse environment using the AMMI and GGE biplot analysis. International Journal of Plant Breeding and Genetics, 8: 139–152.

Oladosu Y., Rafli M. Y., Abdullah N., Magaji U., Miah G., Hussin G., and Ramli A. (2017). Genotype×environment interaction and stability analyses of yield and yield components of established and mutant rice genotypes tested in multiple locations in Malaysia. Acta Agriculturae Scandinavica, Section B- Soil & Plant Science, 7: 590–606.

Park G. H., Kim J. H., and Kim K. M. (2014). QTL analysis of yield components in rice using a cheongcheong/nagdong doubled haploid genetic map. American Journal of Plant Sciences, 5: 1174–1180.

Rahayu S. (2020). Yield stability analysis of rice mutant lines using AMMI method. J. Phys. Conf. Ser. 1436 012019.

Raju B. M. K. (2002). A study on AMMI model and its biplots. Journal of the Indian Society of Agricultural Statistics, 55: 297–322.

Rao A. R., and Prabhakaran V. T. (2005). Use of AMMI in simultaneous selection of genotypes for yield and stability. Journal of the Indian Society of Agricultural Statistics, 59: 76–82.

Sabaghnia N., Karimizadeh R., Mohammadi M. (2013). Using additive main effect and multiplicative interaction model for exploration of yield stability in some lentil (Lens culnaris Medik.) genotypes. Plant Breeding and Seed Science, 67: 45–60.

Samadi-Gorji M., Zaman Mirabadi A., Rammeah V., Hasanpour M., and Esmailifar A. (2015). Evaluation of agronomic traits of mutants induced by gamma irradiation in PF and RGS003 varieties of rapeseed (Brassica napus L.). Journal of Crop Breeding, 7: 135–114.

Seyou M., Alamerew S., and Bantte K. (2016). Stability analysis of grain yield in rice genotypes across environments of Jimma Zone, Western Ethiopia. Journal of Cereals and Oilseeds, 7: 27–33.

Sharifi P., Aminpanah H., Efrani R., Mohaddesi A., and Abbasian A. (2017). Evaluation of genotype×environment interaction in rice based on AMMI model in Iran. Rice Science, 24: 173–180.

Sneller C. H., Kilgore-Norquest L., and Dombek D. (1997). Repeatability of yield stability statistics in soybean. Crop Science, 37: 383–390.

Tarang A., Hossieni Chaleshtary M., Tolghilani A., and Esfahani M. (2013). Evaluation of grain yield stability of pure lines of rice in Guilan province. Iranian Journal of Crop Sciences, 15: 24–34. (In Persian)

Yan W., and Kang M. S. (2003). GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, New York, NY, pp. 267.

Zali H., Farshadfar E., Sabaghpour S. H., and Karimizadeh R. (2012). Evaluation of genotype×environment interaction in chickpea using measures of stability from AMMI model. Annals of Biological Research, 3: 3126–3136.

Zhang Z., Lu C., and Xiang Z. (1998). Analysis of variety stability based on AMMI model. Acta Agronomica Sinica, 24: 304–309.

Zobel R. W. (1994). Stress resistance and root systems. In: Proceedings of the Workshop on Adaptation of Plants to Soil Stress. Institute of Agriculture and Natural Resources, University of Nebraska-Lincoln, 80–99.

 Zobel R. W., Wright M. J., and Gauche H. G. (1988). Statistical analysis of a yield trial. Agron. J, 80: 388–393.

Zuo J. R., and Li J. Y. (2014). Molecular dissection of complex agronomic traits of rice: A team effort by Chinese scientists in recent years. National Science Review, 1: 253–276.

Xuan T. D., Anh T. T. T., Tran H. D. Khanh T. D., and Dat T. D. (2019). Mutation breeding of a N-methyl-N-nitrosourea (MNU)-Induced Rice (Oryza sativa L. ssp. Indica) population for the yield attributing traits. Sustainability, 11(4): 1062.