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Evaluation of Yield Stability of Bread Wheat Genotypes using a Combination of AMMI and BLUP Features
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Seyedeh Somayeh Mousavi  , Omidali Akbarpour * , Tahmasb Hosseinpour |
| Production Engineering and Plant Genetics Department, Faculty of Agriculture, Lorestan University, Khorramabad, Iran , akbarpour.oa@lu.ac.ir |
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Abstract: (2568 Views) |
| In this research, 15 bread wheat genotypes along with Aftab variety as a control variety were implemented with 4 replications in the form of randomized complete block design for 3 crop years (2016-2019) at Sarab Chengai Station in Khorramabad. The likelihood ratio test (LRT) showed that the genotype-year interaction effect was significant for grain yield. Based on this, singular value analysis (SVD) was performed on the matrix of best linear unbiased predictions (BLUP) of genotype × year interaction to evaluate the stability of genotypes. The scree plot showed that the first principal component accounted for 71.7% and the second principal component accounted for 28.3% of the matrix changes resulting from the best unbiased predictions of the genotype interaction per year. The biplot of the first principal component of the environment against the nominal yield also showed that genotypes No. 9, 12 and 13 had a negligible contribution to the genotype × year interaction and had higher general stability. Also, the biplot of grain yield against the weighted average of absolute scores (WAASB) placed the genotypes in four regions, so that genotypes No. 15, 16, 12, 11, and 10 are in the fourth region due to high stability (low values WAASB) and magnitude of response variable (high performance) were identified as superior genotypes. The WAASBY index (weighted average of WAASB stability and performance) identified genotypes No. 15, 16, 12, 10, 11, 14, 9 and 4 as stable and high yielding genotypes. In general, based on WAASB and WAASBY indices and their comparison, genotypes 15, 16, 12, 11 and 10 were selected as the best genotypes that can be recommended for cultivation in similar climates. |
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| Keywords: Genotype × environment interaction effects, Combination of AMMI and BLUP method, Stability, Bread wheat |
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Full-Text [PDF 1171 kb]
(1004 Downloads)
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Type of Study: Research |
Subject:
Plant improvement
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1. Burgueno, J., Cadena, A., Crossa, J., Banziger, M., Gilmour, A. and Cullis, B. (2000). Users Guide for Spatial Analysis of Field Variety Trials Using ASREML, Cimmyt, Mixico. 2. De Abreu, H.K.A., Ceccon, G., Correa, A.M., Fachinelli, A., Yamamoto, E.L. and MTeodoro, P.E. (2019). Adaptability and stability of cowpea genotypes via REML-BLUP and GGE Biplot. Bioscience Journal, 35(4): 1071-1082. [ DOI:10.14393/BJ-v35n4a2019-42125] 3. Dehghani, H., Sabaghpour, S.H. and Sabaghnia, N. (2008). Genotype × environment interaction for grain yield of some lentil genotypes and relationship among univariate stability statistics. Spanish Journal of Agricultural Research, 6(3): 385-394. [ DOI:10.5424/sjar/2008063-5292] 4. Donoso-Ñanculao, G., Paredes, M., Becerra, V., Arrepol, C. and Balzarini, M. (2016). GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate. Chilean Journal of Agricultural Research, 76(2): 152-157. [ DOI:10.4067/S0718-58392016000200003] 5. FAO. (2021). FAOSTAT. Food and Agricultural Organization of the United Nations. Available at http://www.fao.org/faostat/en/#data/QC. FAO. Rome, Italy. 6. Gauch, H.G. and Zobel, R.W. (1997). Identifying mega -environments and targeting genotypes. Iranian Journal of Crop Sciences, 37(1): 311-326. [ DOI:10.2135/cropsci1997.0011183X003700020002x] 7. Gauch, H.G. (1988). Model selection and validation for yield trials with interaction. Biometrics, 44(3): 705-715. [ DOI:10.2307/2531585] 8. Hemdane, S., Jacobs, P.J., Dornez, E., Verspreet, J., Delcour, J.A. and Courtin, C.M. (2016). Wheat (Triticum aestivum L.) bran in bread making: a critical review. Comprehensive Reviews in Food Science and Food Safety, 15(1): 28-42. [ DOI:10.1111/1541-4337.12176] 9. Karimizadeh, R., Pezeshkpour, P., Barzali, M., Mehraban, A. and Sharifi, P. (2021). Evaluation the mean performance and stability of lentil genotypes by combining features of AMMI and BLUP techniques. Journal of Crop Breeding, 12(36): 160-170 (In Persian). [ DOI:10.52547/jcb.12.36.160] 10. Kempton, R.A. (1984) The use of the bi-plots in interpreting variety by environment interactions. Journal of Agricultural Science, 103: 123-135. [ DOI:10.1017/S0021859600043392] 11. Lin, C.S. and Binns, M.R. (1988). A method of analyzing cultivar× location× year experiments: a new stability parameter. Theoretical and Applied Genetics, 75: 425-430. [ DOI:10.1007/BF00265344] 12. Mahdavi, A.M., Babaeian Jelodar, N., Farshadfar, E. and Bagheri N. (2020). Evaluation of stability and adaption of bread wheat genotypes using univariate statistics parameters and AMMI. Plant Genetic Researches, 7(1): 19-32 (In Persian). [ DOI:10.52547/pgr.7.1.2] 13. Moradpour, G., Ahmadi, H., Bagheri, M. and Guderzi, D. (2022). Evaluation of stability and adaptability in the selected lines of some iranian eggplant (Solanum melongena L.) by AMMI and GGE biplot methods. Plant Genetic Researches, 9(1): 135-146 (In Persian). [ DOI:10.52547/pgr.9.1.10] 14. Najafi Mirak, T., Dastfal, M., Andarzian, B., Farzadi, H., Bahari, M. and Zali, H. (2018). Assessment of non - parametric methods in selection of stable genotypes of durum wheat (Triticum turgidum L. var. durum). Iranian Journal of Crop Sciences, 19(2): 126-138 (In Persian). 15. Olivoto, T., Nardino, M., Carvalho, I.R., Follmann, D.N., Ferrari, M., Szareski, V.J., de Pelegrin, A.J. and de Souza, V.Q. (2017). REML/BLUP and sequential path analysis in estimating genotypic values and interrelationships among simple maize grain yield -related traits. Genetics and Molecular Research, 16(1): 1-19. [ DOI:10.4238/gmr16019525] 16. Olivoto, T., Lúcio, A.D.C., Da Silva, J.A.G., Marchioro, V.S., De Souza, V.Q. and Jost, J. (2019). Mean performance and stability in multi-environment trials I: combining features of AMMI and BLUP techniques. Agronomy Journal, 111(6): 2949-2960. [ DOI:10.2134/agronj2019.03.0220] 17. Quddus, M.R., Rahman, M.A., Jahan, N., Debsharma, S.K., Disha, R.F., Hasan, M.M., Aditya, T.L., Iftekharuddaula, K.M. and Collard, B.Y. (2019). Estimating pedigree-based breeding values and stability parameters of elite rice breeding lines for yield under salt stress during the Boro season in Bangladesh. Plant Breeding and Biotechnology, 7(3): 257-271. [ DOI:10.9787/PBB.2019.7.3.257] 18. Sharifi, P., Abbasian, A. and Mohaddesi, A. (2021). Evaluation the mean performance and stability of rice genotypes by combining features of AMMI and BLUP techniques and selection based on multiple traits. Plant Genetic Researches, 7(2): 163-180 (In Persian). [ DOI:10.52547/pgr.7.2.13] 19. Smith, A.B., Cullis, B.R. and Thompson, R. (2005). The analysis of crop cultivar breeding and evaluation trials: An overview of current mixed model approaches. Journal of Agricultural Science, 143(1): 449-462. [ DOI:10.1017/S0021859605005587] 20. Yang, R.C. (2002). Likelihood-based analysis of genotype-environment interactions. Crop Science, 42: 1434-1440. [ DOI:10.2135/cropsci2002.1434] 21. Yang, R.C. (2010). Towards understanding and use of mixed-model analysis of agricultural experiments. Canadian Journal of Plant Science, 90: 605-627. [ DOI:10.4141/CJPS10049] 22. Zeinalzadeh-Tabrizi, H., Mansouri, S. and 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). [ DOI:10.52547/pgr.8.1.4] |
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Mousavi S S, Akbarpour O, Hosseinpour T. Evaluation of Yield Stability of Bread Wheat Genotypes using a Combination of AMMI and BLUP Features. pgr 2023; 10 (1) :111-122 URL: http://pgr.lu.ac.ir/article-1-277-en.html
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