Evaluation of genotype by environment interaction of lentil genotypes using the combination of AMMII and BLUP methods

Document Type : Original Article

Authors

1 MSc. graduate,, Department of Plant Production and Genetics Engineering, Faculty of Agriculture Lorestan University, Khorramabad, Iran

2 Assistant Professor, Department of Plant Production and Genetics Engineering, Faculty of Agriculture Lorestan University, Khorramabad, Iran

3 Assistant Professor, Crop and Horticultural Science Research Department, Lorestan Agricultural and Natural Resources Research and Education Center )AREEO(, Khorramabad, Iran

10.22034/plant.2025.142663.1137

Abstract

This research aimed to estimate the genotype-environment interaction and select stable genotypes using a combination of AMMII and BLUP methods. In this study, 14 lentil genotypes along with two check cultivars, Sepehr and Gachsaran, were evaluated over four cropping years (2016-2020) in a randomized complete blocks design with three replications at the Sarab Chengai Agricultural Research Station in Khorramabad, Iran. The combined analysis results showed that  genotype and environment main effects, and the genotype-environment interaction were significant. Using a combination of AMMII and BLUP methods, the stability of the genotypes was assessed. The first and second principal components cumulatively accounted for approximately 87.8% of the variances in the genotype-environment interaction. The likelihood ratio test (LRT) confirmed the significance of the genotype-environment interaction. According to the best linear unbiased predictions (BLUP) method, the WAASB and WAASBY indices, and nominal grain yield against the scores of the first axis of the principal environmental component of interaction (IPCA1), genotypes G5, G11, and G4 were identified as stable genotypes with high yield. Based on the results of this research, genotypes (FLIP2014-032L) G5, (FLIP2014-103L) G11, and (FLIP2014-021L) G4, with average grain yields of 1574.68, 1484.74, and 1452.54 kg ha⁻¹ respectively, were introduced as stable genotypes and are recommended for cultivation in environments similar to the studied climate.

Keywords

References

Akbarpour, O. (2017). Application of variance components estimators in plant breeding. Plant Genetic Researchs, 4 (1), 1–24. https://doi.org/10.29252/pgr.4.1.1
Alipour, H., Abdi, H., Rahimi, Y., & Bihamta, M. R. (2019). Investigating grain yield and yield stability of wheat cultivars introduced in Iran over the last half century. Cereal Research, 9, 157–167. https://doi.org/10.22124/C.2019.13311.1492
Alizadeh, B., Rezaizad, A., Yazdandoost, M., Hamedani, Shiresmaeili, G., Nasserghadimi, F., Khademhamzeh, H., & Gholizadeh, A. (2020). Evaluation of seed yield stability of winter rapeseed (Brassica napus L.) genotypes using non-parametric methods. Journal of Crop Breeding, 35, 202–212. https://doi.org/10.52547/jcb.12.35.202 
Abo-Hegazy, S. R., Selim, T., & EL-Emam, E. A. A. (2012). Correlation and path coefficient analyses of yield and some yyield components in lentil. Egyptian Journal of Plant Breeding,16 (3), 147–159. https://doi.org/ 10.12816/0003954
Badooei Delfard, R., Mostafavi, Kh., & Mohammadi, A. (2016). Genotype-environment interaction and yield stability of winter barley varieties (Hordeum vulgare L.). Journal of Crop Breeding, 20, 99–106. https://dor.isc.ac/dor/20.1001.1.22286128.1395.8.20.1.8
Baggar, A., Safi, A., Gaboun, F., Taghouti, M., & Benbrahim, N. (2023). Identification of stable lentil genotypes through genotype by environment interactions on yield potential in Morocco. Plant Science Today, 10, 57–66. http://dx.doi.org/10.14719/pst.1814
Dehghanpour, Z., Karimizadeh, R., Dehghani, H., & Sabaghnia, N. (2007). Determination of adaptability and stability of seed yield of foreign early maturity corn hybrids. Iranian Journal of Agricultural Sciences, 38, 249–257. (In Persian).
Farshadfar, E. (2008). Incorporation of AMMI stability value and grain yield in a single nonparametric index (GSI) in bread wheat. Pakistan Journal of Biological Sciences, 11 (14), 1791–1796. https://doi.org/10.3923/pjbs.2008.1791 
Gabriel, K. R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika, 58 (3), 453–467. https://doi.org/10.1093/biomet/58.3.453
Gauch, H. G., & Zobel, R. W. (1988). Predictive and postdictive success of statistical analyses of yield trials. Theoretical and Applied Genetics, 76 (1), 1–10. https://doi.org/10.1007/BF00288824
Karimizadeh, R., Pezeshkpour, P., Barzali, M., Mehraban, A., & Sharifi, V. (2021). Evaluation of the mean performance and stability of lentil genotypes by combining features of AMMI and BLUP techniques. Journal of Crop Breeding, 12 (36), 160–170. https://doi.org/10.52547/jcb.12.36.160
Khan, M. A. U., Mohammad, F., Khan, F. U., Ahmad, S., Raza, M. A., & Kamal, T. (2020). Comparison among different stability models for yield in bread wheat. Sarhad Journal of Agriculture, 36 (1), 282–290. http:// doi.org/10.17582/journal.sja/2020/36.1.282.290
Mohammadi, M., Sharifi, P., & Karimizadeh, R. (2014). Stability analysis of seed yield of safflower genotypes (Carthamus tinctorius L.). Journal of Crop Breeding, 7 (16), 104–114. http:// doi.org/10.29252/jcb.10.26.139
Najafi Mirak, T., Dastfal, M., Sayyahfar, M., Farzadi, H., Sasani, Sh., Zali, H., & Naghipour, F. (2023). Investigating the grain yield stability of promising durum wheat lines using the combination of AMMI and BLUP methods. Journal of Agricultural Science and Sustainable Production, 34 (2), 281–298. https://doi.org/10.22034/SAPS.2023.54991.2973 
Namdari, A., Pezeshkpour, P., Meraban, A., Mirzaei, A., & Barzali, M. (2023). Assessment of seed yield stability of advanced rainfed lentil lines in multi-environmental trials using WAASB and WAASBY indices. Journal of seed ad plant, 38 (2), 129–146. https://doi.org/10.22092/SPJ.2023.360785.1283
Olivoto, T., Lúcio, A. D. C., da Silva, J. A. G., Marchioro, V. S., de Souza, V. Q., & Jost, E. (2019). Mean performance and stability in multi-environment trials I: Combining features of AMMI and BLUP techniques. Agronomy Journal, 111 (6), 2949–2960. https://doi.org/10.2134/agronj2019.03.0220
Pezeshkpour, P., & Karimizadeh, R. (2023). Evaluation of the mean performance and stability of chickpea genotypes by integration of AMMI and BLUP models and selection based on multi-trait stability index (MTSI). Journal of Crop Breeding, 46 (15), 73–83.  (In Persian).
Pezeshkpour, P., Karimizadeh, R., Mirzaei, A., & Barzali, M. (2021). Analysis of yield stability of lentil genotypes using AMMI method. Journal of Crop Breeding, 10 (13), 132–145.http://dx.doi.org/10.52547/jcb.13.37.132
Pezeshkpour, P., Mirzaei, A., & Karami, I. (2023). Evaluation of mean yield and stability of lentil genotypes using WAASB index and linear mixed effects model (LMM). Journal of Agricultural Science and Sustainable Production, 34, 95–115. https://doi.org/10.22034/saps.2023.53912.2941
Pour Aboughadareh, A., Barat, A., Zali, H., Koohkan, Sh., Hosseinpour, A., Gholipoor, A., & Marzoghian, A. (2023). Analysis of genotype-by-environment interaction in advanced genotypes of barley using AMMI and BLUP-based indices. Journal of Crop Breeding, 45 (15), 1–10.  (In Persian).
Saleem, A., Ashraf Zahid, M., Iqbal Javed, H., & Ansar, M. (2012). Effect of seeding rate on lentil (Lens culinaris Medik). Pakistan Journal of Agricultural Research, 25 (4), 312–316
Sellami, M. H., Pulvento, C., & Lavini, A. (2021). Selection of suitable genotypes of lentil (Lens culinaris Medik.) under rainfed conditions in South Italy using multi-trait stability index (MTSI). Agronomy, 11 (9), 1807. https://doi.org/10.3390/agronomy11091807
Sharifi, P., Abbasian, A., & Mohaddesi, A. (2021). Evaluation of 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. https://doi.org/10.52547/pgr.7.2.13
Shiri, M., Moharramnejad, S., Estakhr, A., Fareghi, Sh., Najafinezhad, H., Khavari Khorasani, S., Afarinesh, A., Anvari, K., & Eshraghi-Nejad, M. (2024). Determining the stability of new maize hybrids with WAASBY and MTSI indices. Journal of Crop Breeding, 16 (2), 14–28. https://doi.org/10.61186/jcb.16.2.14
Soughi, H., Vahabzadeh, M., Kalateh Arabi, M., JafarBay, J. A., Khavari Nezhad, S., Ghasemi, M., Falahi, H., & Amini, A. (2009). Study on grain yield stability of some promising bread wheat lines in northern warm and humid climate of Iran. Seed and Plant Improvement Journal, 25 (1), 211–222. (In Persian). https://doi.org/10.22092/SPIJ.2017.111023
Yan, W., Kang, M. S., Ma, B., Woods, S., & Cornelius, P. L. (2007). GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science, 47 (2), 643–653. https://doi.org/10.2135/cropsci2006.06.0374
 

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