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GGE Biplot Analysis of Multi-Environment Yield Trials in Soybean Promising Lines

Ayda Krisnawati(1*), M. Muchlish Adie(2)

(1) Indonesian Legumes and Tuber Crops Research Institute, Malang
(2) Indonesian Legumes and Tuber Crops Research Institute, Malang
(*) Corresponding Author


Soybean in Indonesia is grown in diverse agro-ecological environments. The performance of soybean yield often varies due to significant genotype × environment interaction (GEI), therefore the yield stability of performance is an important consideration in the breeding program. The aim of the research was to exploring the GEI pattern and yield stability of soybean promising lines in the tropics using GGE (Genotype and Genotype by Environment Interaction) biplot method. A total of 16 soybean promising lines were evaluated in ten environments during 2016 growing season. The experiment was arranged in a randomized completely block design with four replicates. The analysis of variance revealed that environments (E) explained the highest percentage of variation (51.45%), meanwhile the genotypes (G) and genotype × environment interactions (GEI) contributed for 3.24%, and 14.59% of the total variation, respectively. Seed yield of 16 soybean promising lines ranged from 2.41 to 2.83 t.ha-1 with an average of 2.74 t.ha-1. Joint effects of genotype and interaction (G+GE) which was partitioned using GGE biplot analysis showed that the first two components were significant, explaining 60.88% (37.89% PC1 and 22.98% PC2) of the GGE sum of squares. Indonesia can be divided into at least four putative mega environments for soybean production. The GGE biplot identified G10 as high yielding and stable promising line, thus recommended to be developed in multi-environment in tropical regions of Indonesia.


Biplot; High Yield; Soybean; Stable

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Abady, M.I., A.A.M. El-Emam, S.A.E. Seadh and F.I. Yousof. 2012. Soybean seed quality as affected by cultivars, threshing methods and storage periods. Research Journal of Seed Science, 5: 115−125.

Adie, M.M., A. Krisnawati and G.W.A. Susanto. 2014. Development of high yielding soybean variety with early days to maturity and large seed size. Annual Report. Indonesian Legume and Tuber Crops Research Institutes. Malang.

Adie, M.M., A. Krisnawati and D. Harnowo. 2015. Diversity and clustering of the soybean promising lines in Sleman District, Yogyakarta. Prosiding Seminar Nasional Masyarakat Biodiversitas Indonesia, 1: 787−791.

Adie, M.M., A. Krisnawati dan G.W.A. Susanto. 2013. Genotype × environment interactions, yield potential and stability of black soybean promising lines. Berita Biologi, 12 (1): 79−86.

Adie, M.M. and A. Krisnawati. 2017. Clustering of high-yielding and early-maturing soybean genotypes. In: Taufik T et al. (eds), pp.13−19. Proceedings of the 2nd International Conference on Sustainable Innovation (ICoSI) 2014. Springer, Singapore.

Alghamdi, S.S. 2009. Yield stability of some soybean genotypes across diverse environments. Pakistan Journal of Biological Sciece, 7 (12): 2109−2114.

Amira, J.O., D.K. Ojo, O.J. Ariyo, O.A. Oduwaye and M.A. Ayo-Vaughan. 2013. Relative discriminating powers of GGE and AMMI models in the selection of tropical soybean (Glycine max L. Merr.) genotypes. African Crop Science Journal, 21: 67−73.

Antarlina, S.S., J.S. Utomo, E. Ginting and E. Nikkuni. 2002. Evaluation of Indonesian soybean varieties for food processing. In: Rahmianna AA, Nikkuni S (Eds.). Soybean production and postharvest technology for innovation in Indonesia, Malang: Proceedings of RILETJIRCAS Workshop on Soybean Research, p. 58−68.

Asfaw, A., F. Alemayehu, F. Gurum and M. Atnaf. 2009. AMMI and SREG GGE biplot analysis for matching varieties onto soybean production environments in Ethiopia. Science Research Essays, 4: 1322−1330.

Atnaf, M., S. Kidane, S. Abadi and Z. Fisha. 2013. GGE biplots to analyze soybean multi-environment yield trial data in north Western Ethiopia. Journal of Plant Breeding and Crop Science, 5 (12): 245−254.

Baker, R.J. 1988. Tests for crossover genotype × environment interactions. Canadian Journal of Plant Science, 68: 405−410.

Bhartiya, A., J.P. Aditya, K. Singh, Pushpendra, J.P. Purwar and A. Agarwal. 2017. AMMI & GGE biplot analysis of multi environment yield trial of soybean in North Western Himalayan state Uttarakhand of India. Legume Research, 40 (2): 306−312.

Brar, K.S., P. Singh, V.P. Mittal, M.L. Jakhar, Y. Yadav, M.M. Sharma, U.S. Shekhawat and C. Kumar. 2010. GGE biplot analysis for visualization of mean performance and stability for seed yield in Taramira at diverse locations in India. Journal of Oilseed Brassica, 1(2): 66−74.

Bueno, R.D., L.L. Borges, K.M.A. Arruda, L.L. Bhering, E.G. Barros and M.A. Moreira. 2013. Genetic parameters and genotype × environment interaction for productivity, oil and protein content in soybean. African Journal of Agricultural Research, 8 (38): 4853−4859.

Chikoye, D., T. Gondwe and N. Nhamo. 2017. Smart Technologies for Sustainable Smallholder Agriculture: Upscaling in Developing Countries. Academic Press. 330p.

Choi, D.H., H.Y. Ban, B.S. Seo, K.J. Lee and B.W. Lee. 2016. Phenology and seed yield performance of determinate soybean cultivars grown at elevated temperatures in a temperate region. PLoS ONE 11(11): 1−18.

Cravero,V., M.A. Esposito, Anido, S.M. Garcia and E. Cointry. 2010. Identification of an ideal test environment for asparagus evaluation by GGE-biplot analysis. Australian Journal of Crop Science, 4 (4): 273−277.

Eberhart, S.A. and W.A. Russell. 1966. Stability parameters for comparing varieties. Crop Science, 6: 36-40.

Fan, X.M., M. Kang, H. Chen, Y. Zhang, J. Tan and C. Xu. 2007. Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan, China. Agronomy Journal, 99:220–228.

Farshadfar, E., M.M. Poursiahbidi and M. Jasemi. 2012. Evaluation of phenotypic stability in bread wheat genotypes using GGE-biplot. International Journal of Agricultural Crop Science, 4 (13): 904−910.

Finlay, K.W. and G.N. Wilkinson. 1963. The analysis of adaptation in plant breeding programme. Australian Journal of Agricultural Research, 14: 742−754.

Gauch, H.G. and R.W. Zobel. 1996. AMMI analysis of yield trials. In Kang MS, Gauch HG (Eds.). Genotype-by-Environment Interaction. CRC Press, Boca Raton. New York, United States of America.

Gauch, H.G. 1992. Statistical analysis of regional yield trials: AMMI analysis of factorial designs. Elsevier Science Pub. Amsterdam, Netherland.

Gauch, H.G. 2006. Statistical analysis of yield trials by AMMI and GGE. Crop Science, 46: 1488−1500.

Gedif, M., D. Yigzaw and G. Tsige. 2014. Genotype-environment interaction and correlation of some stability parameters of total starch yield in potato in Amhara region. Etiopia Journal of Plant Breeding and Crop Science, 6 (3): 31−40.

Gurmu, F., M. Hussein and G. Alemaw. 2009. Genotype × environment interactions and stability of soybean for grain iyeld and nutrition quality. African Crop Science Journal, 17 (2): 87 – 99.

Hagos, H.G. and Abbay. 2013. AMMI and GGE Biplot analysis of bread wheat genotypes in the northern part of Ethiopia. Journal of Plant Breeding and Genetics, 1: 12−18.

Iletri. 2011. Soybean Improved Variety. Indonesian Legumes and Tuber Crops Research Institute. PENAS XIII Special Edition, 18 June 2011, 2pp.

Iletri. 2015. Description of Soybean Improved Varieties. Indonesian Legumes and Tuber Crops Research Institute. 87p.

Jain, H.K. and M.C. Kharkwal. 2012. Plant Breeding: Mendelian to Molecular Approaches. Springer Science & Business Media. 811p.

Jandong, E.A., M.I. Uguru and B.C. Oyiga. 2011. Determination of yield stability of seven soybean (Glycine max) genotypes across diverse soil pH levels using GGE biplot analysis. Journal of Applied Bioscience, 43:2924−2941.

Kandil, A.A., A.E. Sharief, A.R. Morsy and A.I.M. El-Sayed. 2012. Performance of some promising genotypes of soybean under different planting dates using Biplots analysis. Journal of Basic & Applied Science, 8: 379−385.

Kaya, Y., M. Akcura and S. Taner. 2006. GGE biplot analysis of multi-environment yield trials in bread wheat. Turkish Journal of Agriculture and Forestry, 30: 325−337.

Krisnawati, A. and M.M. Adie. 2015. Selection of soybean genotypes by seed size and its prospects for industrial raw material in Indonesia. Procedia Food Science, 3: 355 – 363.

Kumar, A., S. Kumar, C. Kapoor, R. Bhagawati, A. Pandey, and A. Pattanayak. 2014. GGE biplot analysis of genotype × environment interaction in soybean grown in NEH regions of India. Environmental Ecology, 32 (3A): 1047−1050.

Kuswantoro, H. 2016. Potential yield of acid-adaptive soybean promising lines in ultisols of Tanah Laut Regency, South Kalimantan Province, Indonesia. BIOTROPIA, 23 (1): 52−57.

Liu, X.B. and S.J. Herbert. 2002. Fifteen years of research examining cultivation of continuous soybean in Northeast China. Field Crops Research, 79:1–7.

Luo, J., Y.B. Pan, Y. Que, H. Zhang, M.P. Grisham and L. Xu. 2015. Biplot evaluation of test environments and identification of mega-environment for sugarcane cultivars in China. Scientific Reports, 5:15505.

Oldeman, L.R. 1974. An agroclimatic classification for evaluation of cropping systems 1974 in Southeast Asia. In Report of the FAO/UNDP International expert consultation on the use of improved technology for food production in raifed areas of tropical Asia. Annex III, 1−18, FAO, Rome.

Perkins, J.M. and J.L. Jinks. 1968. Environmental and genotype-environmental component of variability. III. Multiple lines and crosses. Heredity, 23: 339−356.

Purwantoro, Suhartina, N. Nugrahaeni and A. Sulistyo. 2017. Response of soybean genotypes introduced from South Korea to drought stress during reproductive stage. Biodiversitas, 18: 15−19.

Rakshit, S., K.N. Ganapathy, S.S. Gomashe, A. Rathore, R.B. Ghorade, M.V.G. Kumar, K. Ganesmurthy, S.K. Jain, M.Y. Kamtar, J.S. Sachan, S.S. Ambekar, B.R. Ranwa, D.G. Kanawade, M. Balusamy, D. Kadam, A. Sarkar, V.A. Tonapi and J.V. Patil. 2012. GGE biplot analysis to evaluate genotype, environment and their interactions in sorghum multi-location data. Euphytica, 185: 465–479.

Rao, P.S., P.S. Reddy, A. Rathore, B.V. Reddy and S. Panwar. 2011. Application GGE biplot and AMMI model to evaluate sweet sorghum (Sorghum bicolor) hybrids for genotype × environment interaction and seasonal adaptation. Indian Journal of Agricultural Science, 81 (5): 438−44.

Samonte, S.O., L.T. Wilson, A.M. McClung and J.C. Medley. 2005. Targeting cultivars onto rice growing environments using AMMI and SREG GGE biplot analyses. Crop Science, 45:2414–2424.

Tonk, F.A., E. Ilker and M. Tosun. 2011. Evaluation of genotype × environment interactions in maize hybrids using GGE biplot analysis. Crop Breeding and Applied Biotechnology, 11: 1−9

Ullah, H., I.H. Khalil, Durrishahwar, Iltafullah, I.A. Khalil, M. Fayaz, J. Yan and F. Ali. 2012. Selecting high yielding and stable mungbean [Vigna radiata (L.) Wilczek] genotypes using GGE biplot techniques. Canadian Journal of Plant Science, 92: 951−960.

Yan, W., P.L. Cornelius, J. Crossa and L.A. Hunt. 2001. Two types of GGE biplots for analysis of multi- environment trial data. Crop Science, 41: 565−663.

Yan, W., L.A. Hunt, Q. Sheng and Z. Szlavnies. 2000. Cultivar evaluation and mega-environment investigation based on GGE biplot. Crop Science, 40: 597−605.

Yan, W., M.S. Kang, B. Ma, S. Woods and P.L. Cornelius. 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science, 47: 643–655.

Yan, W. and M.S. Kang. 2003. GGE biplot analysis: a graphical tool for breeders, geneticists and agronomist. CRC Press, Boca Raton, FL. 271pp

Yan, W. and N. Tinker. 2006. Biplot analysis of multi-location trail data: principles and applications. Canadian Journal of Plant Sciece, 86: 623−645.

Yan, W. 2001. GGE biplot- A windows aplication for graphical analysis of multienvironment trial data and other types of two - way data. Agronomy Journal, 93: 1111−1118.

Yan, W. 2002. Singular value partitioning in biplot analysis of multienvironment trial data. Agronomy Journal, 94: 990−996.


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