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2020, vol. 26, iss. 1, pp. 52-58
Assessment of genotype × environment interaction for grain protein content in short-season soybean genotypes
Maize Research Institute 'Zemun Polje', Belgrade-Zemun, Serbia
Keywords: Glycine max; technological quality; AMMI-1model
The protein content is an important parameter of the technological quality of soybean grain. Therefore, the selection work is aimed at creating a genetic basis for obtaining varieties not only of high yield but also varieties of improved grain quality. In order to provide sustained progress in breeding, it is necessary to find a stable source for breeding for desired traits. The aim of this study was to examine the value of the genotype × environment (G× E) interaction for protein content in 14 Maize Research Institute "Zemun Polje" short-season soybean accessions and to identify stable sources that can be used in breeding for protein content improvement. G×E interaction for grain protein content was analyzed using a linear-bilinear AMMI-1 model. The influence of genotype and environment on the total variation of protein content was approximately equal, while the smallest variation is attributed to genotype x environment interaction. A large number of genotypes with different protein content (Korana, PI 180 507, Kabott, Krajina, Canatto) showed a small contribution to the interaction in studied environments, the most important of which were genotypes with above-average protein content, as potential sources for future breeding programs.
Baker, R.J. (1988) Tests for cross-over genotype x environment interactions. Canadian Journal of Plant Science, 68(2): 405-410
Balešević-Tubić, S., Đorđević, V., Miladinović, J., Đukić, V., Tatić, M. (2011) Stability of soybean seed composition. Genetika, vol. 43, br. 2, str. 217-227
Cober, E.R., Voldeng, H.D., Frégeau-Reid, J.A. (1997) Heritability of Seed Shape and Seed Size in Soybean. Crop Science, 37(6): 1767-1769
Crossa, J., Gauch, H.G., Zobel, R.W. (1990) Additive Main Effects and Multiplicative Interaction Analysis of Two International Maize Cultivar Trials. Crop Science, 30(3): 493-500
Dornbos, D.L.Jr., Mullen, R.E. (1992) Soybean seed protein and oil contents and fatty acid composition adjustments by drought and temperature. J Am Oil Chem Soc, 69(3): 228-231
Faria, P.N., Dias, C.T.D.S., Pinheiro, J.B., de Araújo, L.B., Cirillo, M.Â., Araújo, M.F.C. (2016) AMMI methodology in soybean: Cluster analysis with bootstrap resampling in genetic divergence and stability. Revista Ceres, 63(4): 461-468
Gauch, H.G., Zobel, R.W. (1996) AMMI analysis of yield trials. in: Kang M.S., Gauch H.G. [ed.] Genotype by environment interaction, Boca Raton: CRC Press, 85-122
Giauffret, C., Lothrop, J., Dorvillez, D., Gouesnard, B., Derieux, M. (2000) Genotype × Environment Interactions in Maize Hybrids from Temperate or Highland Tropical Origin. Crop Science, 40(4): 1004-1012
Hyten, D.L., Pantalone, V.R., Sams, C.E., Saxton, A.M., Landau-Ellis, D., Stefaniak, T.R., Schmidt, M.E. (2004) Seed quality QTL in a prominent soybean population. Theoretical and Applied Genetics, 109(3): 552-561
Kang, M.S. (2004) Breeding: Genotype-by-environment interaction. in: Encyclopedia of Plant and Crop Science, Marcel Decker, p. 218-221
Kelli, J.D., Kolkman, J.M., Schneider, K. (1998) Breeding for yield in dry bean (Phaseolus vulgaris L). Euphytica, 102(3): 343-356
Miklič, V., Ovuka, J., Marjanović-Jeromela, A., Terzić, S., Jocić, S., Cvejić, S., Miladinović, D., Hladni, N., Radić, V., Ostojić, B., Jocković, M., Dušanić, N., Đorđević, V., Miladinović, J. (2018) Breeding and seed production of oil crops in Serbia. Selekcija i semenarstvo, vol. 24, br. 2, str. 1-9
Miladinović, J., Hrustić, M., Vidić, M., Tatić, M. (1996) Path coefficient analysis of effect of yield, oil content and the duration of vegetative and reproductive periods on seed protein content in soybean. Eurosoya, 10: 51-56
Miladinović, J., Kurosaki, H., Burton, J.W., Hrustić, M., Miladinović, D. (2006) The adaptability of shortseason soybean genotypes to varying longitudinal regions. European Journal of Agronomy, 25(3): 243-249
Palomeque, L., Jun, L.L., Li, W., Hedges, B., Cober, E.R., Rajcan, I. (2009) QTL in mega environments: Agronomic trait QTL colocalized with seed yield QTL detected in a population derived from a cross of high-yielding adapted £ high-yielding exotic soybean lines. Theoretical and Applied Genetics, II, 119: 429-436
Sousa, L.B., Hamawaki, O.T., Nogueira, A.P.O., Batista, R.O., Oliveira, V.M., Hamawaki, R.L. (2015) Evaluation of soybean lines and environmental stratification using the AMMI, GGE biplot, and factor analysis methods. Genet. Mol. Res, 14 (4): 12660-12674
Sudarić, A., Vratarić, M., Rajcan, I. (2006) Evaluation of agronomic performance of domestic and exotic soybean germplasm in Croatia. Poljoprivreda, 12(2): 17-22
Voldeng, H.D., Cobber, E.R., Hume, D.J., Gillard, C., Morrison, M.J. (1997) Fifty-eight years of genetic improvement of short season soybean cultivars in Canada. Crop Sci, 37: 428-431
Vollmann, J., Winkler, J., Fritz, C.N., Grausgruber, H., Ruckenbauer, P. (2000) Spatial field variations in soybean (Glycine max (L.) Merr.) performance trials affect agronomic characters and seed composition. Eur. J. of Agron, 12: 13-22
Wollmann, J., Fritz, C.N., Wagentristl, H., Ruckenbauer, P. (2000) Environmental and genetic variation of soybean seed protein content under Central European growing conditions. Journal of the Science of Food and Agriculture, 80(9): 1300
Yan, W., Rajcan, I. (2002) Biplot Analysis of Test Sites and Trait Relations of Soybean in Ontario. Crop Science, 42(1): 11


article language: English
document type: Original Scientific Paper
DOI: 10.5937/SelSem2001052P
published in SCIndeks: 26/07/2020
Creative Commons License 4.0

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