Genotype by Environment Interaction and Stability for Kernel Sweetness and Yield of 5 Sweet Corn Cultivars

Authors

  • Jiraporn Withano Banglamung District Agriculture Office, Department of Agricultural Extension, Chonburi
  • Supaporn Ieamkheng Department of Plant Production Technology, Faculty of Agriculture and Natural Resources Rajamangala University of Technology Tawan-ok, Chonburi
  • Rusama Marubodee Department of Plant Production Technology, Faculty of Agriculture and Natural Resources Rajamangala University of Technology Tawan-ok, Chonburi
  • Pramote Pornsuriya Department of Plant Production Technology, Faculty of Agriculture and Natural Resources Rajamangala University of Technology Tawan-ok, Chonburi

DOI:

https://doi.org/10.14456/jare-mju.2024.3

Keywords:

AMMI analysis, biplot, yield trial, Zea mays var. saccharata

Abstract

Genetic and environmental factors and their interactions had effects on yield of crops, therefor this research was conducted to determine the genotype by environment interaction (GEI) effects on kernel sweetness and husked ear yield of 5 sweet corn cultivars grown in 4 environments using AMMI (additive main effects and multiplicative interaction) analysis. Five sweet corn hybrid cultivars were evaluated in a randomized complete block design with 3 replications for 2 seasons. Each season was composed of 2 environments: chemical and organic fertilizations. Analysis of variance showed significant effects attributable to the cultivars (G), environment (E) and their interaction (GEI) for both characters. AMMI analysis revealed that the first two multiplicative components of the interaction (IPCA1 and IPCA2) accounted for 92.1 and 99.8% of the variation of GEI for kernel sweetness and husked ear yield, respectively. The scores of the principal interaction components showed high variability for the environments relative to the cultivar effects. Wanburi (G5) was the most stable cultivar for kernel sweetness because of its lowest AMMI stability value (ASV) and high kernel sweetness. Whereas Hybrix3 (G2) was the most stable for husked ear yield because of its lowest ASV and high husked ear yield.

References

Adham, A., M.B.A. Ghaffar, A.M., Ikmal and N.A.A. Shamsudin. 2022. Genotype × environment interaction and stability analysis of commercial hybrid grain corn genotypes in different environments. Life 12(11): 1773.

Akpan, E.A. and V.S. Udoh. 2017. Evaluation of cassava (Manihot esculenta crantz) genotype for yield and yield component, tuber bulking, early maturity in cross river basin flood plains. Canadian Journal of Agriculture and Crops 2(2): 68-73.

Badu-Apraku, B., M. Oyekunle, K. Obeng-Antwi, A.S. Osuman, S.G. Ado, N. Coulibay, C.G. Yallou, M. Abdulai, G.A. Boakyewaa and A. Didjeira. 2012. Performance of extra-early maize cultivars based on GGE biplots and AMMI analysis. Journal Agricultural Sciences 150: 473-483.

Balestre, M., R.G. Von Pinho, J.C. Souza and R.L. Oliveira. 2009. Genotypic stability and adaptability in tropical maize based on AMMI and GGE biplot analysis. Genetics and Molecular Research 8(4): 1311-1322.

Becker, H.C. and J. Leon. 1988. Stability analysis in Plant Breeding. Plant Breeding 101: 1-23.

Crossa, H.M. 1990. Statistical analyses of multilocation trials. Advances in Agronomy 44: 55-85.

Crossa, J., H.G. Gauch and R.W. Zobel. 1990. Additive main effect and multiplicative interaction analysis of two international maize cultivar trials. Crop Science 30: 493-500.

Ebdon, J.S. and H.G. Gauch. 2002. Additive main effects and multiplicative interaction analysis of national turfgrass performance trials. Crop Science 42: 497-506.

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

Farshadfar, E. and J. Sutka. 2006. Biplot analysis of genotype-environment interaction in durum wheat using the AMMI model. Acta Agronomica Hungarica 54(4): 459-467.

Ferreira, D.F., C.G.B. Demétrio, B.F.J. Manly, A.A. Machado and R. Vencovsky. 2006. Statistical models in agriculture: biometrical methods for evaluating phenotypic stability in plant breeding. Cerne 12: 373-388.

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

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

Gauch, H.G. and R.W. Zobel. 1996. AMMI analysis of yield trials. pp. 85-122. In Kang, M.S. and H.G. Gauch (eds.). Genotype by Environment Interaction. Boca Raton, FL: CRC Press.

Katsenios, N., P. Sparangis, S. Chanioti, M. Giannoglou, D. Leonidakis, M.V. Christopoulos, G. Katsaros and A. Efthimiadou. 2021. Genotype x environment interaction of yield and grain quality traits of maize hybrids in Greece. Agronomy 2021(11): 1-17.

Kempton, R.A. 1984. The use of biplots in interpreting variety by environment interactions. Journal of Agricultural Science 103: 123-135.

Lin, C.S., M.R. Binns and L.P. Lafkovitch. 1986. Stability analysis: where do we stand?. Crop Science 26: 894-900.

Little, T.M. and F.J. Hills. 1978. Agricultural Experimentation: Design and Analysis. Hoboken: John Wiley & Sons, Inc. 350 p.

Office of Agricultural Economics. 2022. Sweet corn: area cultivated and yield. [Online]. Available https://www.oae.go.th/assets/portals/1/fileups/prcaidata/files/sweet%20corn63.pdf (November 24, 2022). [in Thai]

Oliveira, E.J.D., J.P.X.D. Freitas and O.N.D. Jesus. 2014. AMMI analysis of the adaptability and yield stability of yellow passion fruit varieties. Scientia Agricola 71: 139-145.

Ottai, M.E.S., K.A. Aboud, I.M. Mahmoud and D.M. El-Hariri. 2006. Stability analysis of cultivars (Hibiscus sabdariffa L.) under different nitrogen fertilizer environments. World Journal of Agricultural Sciences 2(3): 333-339.

Oupadissakoon, S. 1994. Statistics, Experimental Design: Volume 2. Bangkok: Sahamit Offset Press. 492 p. [in Thai]

Puddhanon, P. 2005. Biometrics for Plant Breeding. Chiang Mai: Agronomy Department, Faculty of Agricultural Production, Maejo University. 243 p. [in Thai]

Purchase, J.L. H. Hatting and C.S. Vandeventer. 2000. Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa. II. stability analysis of yield performance. South African Journal of Plant and Soil 17: 101-107.

Ruswandi, D., Y. Yuwariah, M. Ariyanti, M. Syafii and A. Nuraini. 2020. Stability and adaptability of yield among earliness sweet corn hybrids in West Java, Indonesia. International Journal of Agronomy 2020: 1-9. DOI.org/10.1155/2020/4341906.

Syafi’i, M., R. Melati, B. Waluyo and D. Ruswandi. 2013. GxE interaction assessment of sr sweet corn yield based on additive main effect and multiplicative interaction (AMMI) and biplot in West Java. pp. 147-154. In Proceedings of International Conference on Sustainable Rural Development 2013 August 25-26, 2013. Jawa Tengah: Jenderal Soedirman University.

Wayupab, K. 2015. Report on Research and Development Projects of Fresh Corn. 124 p. In Research Report. Bangkok.: Department of Agriculture. [in Thai]

Zobel, R.W., M.J. Wright and H.G. Gauch. 1988. Statistical analysis of a yield trial. Agronomy Journal 80: 388-393.

Published

2024-04-09

How to Cite

Withano, J. ., Ieamkheng, S. ., Marubodee, R. ., & Pornsuriya, P. . (2024). Genotype by Environment Interaction and Stability for Kernel Sweetness and Yield of 5 Sweet Corn Cultivars. Journal of Agricultural Research and Extension, 41(1), 29–41. https://doi.org/10.14456/jare-mju.2024.3

Issue

Section

Research Article