References
- Ajala, S. O., A. B. Olaniyan, M. O. Olayiwola, and A. O. Job. 2018. “Yield Improvement in Maize for Tolerance to Low Soil Nitrogen.” Plant Breeding 137 (2): 118–126. doi:https://doi.org/10.1111/pbr.12568.
- Annor, B., and B. Badu-Apraku. 2016. “Gene Action Controlling Grain Yield and Other Agronomic Traits of Extra-Early Quality Protein Maize under Stress and Non-Stress Conditions.” Euphytica 212 (2): 213–228. doi:https://doi.org/10.1007/s10681-016-1757-4.
- Badu-Apraku, B., and A. Fontem Lum. 2010. “The Pattern of Grain Yield Response of Normal and Quality Protein Maize Cultivars in Stress and Nonstress Environments.” Agronomy Journal 102 (2): 381–394. doi:https://doi.org/10.2134/agronj2009.0229.
- Badu-Apraku, B., and M. A. B. Fakorede. 2017. Advances in Genetic Enhancement of Early and Extra-Early Maize for Sub-Saharan Africa. Cham: Springer. doi:https://doi.org/10.1007/978-3-319-64852-1.
- Badu-Apraku, B., M. A. B. Fakorede, A. O. Talabi, M. Oyekunle, I. C. Akaogu, R. O. Akinwale, B. Annor, G. Melaku, Y. Fasanmade, and M. Aderounmu. 2016. “Gene Action and Heterotic Groups of Early White Quality Protein Maize Inbreds under Multiple Stress Environments.” Crop Science 56 (1): 183–199. doi:https://doi.org/10.2135/cropsci2015.05.0276.
- Badu-Apraku, B., M. A. B. Fakorede, M. Gedil, A. O. Talabi, B. Annor, M. Oyekunle, R. O. Akinwale, T. Y. Fasanmade, I. C. Akaogu, and M. Aderounmu. 2015. “Heterotic Responses among Crosses of IITA and CIMMYT Early White Maize Inbred Lines under Multiple Stress Environments.” Euphytica 206 (1): 245–262. doi:https://doi.org/10.1007/s10681-015-1506-0.
- Ceccarelli, S. 1996. “Positive Interpretation of Genotype by Environment Interaction in Relation to Sustainability and Biodiversity.” In Plant Adaptation and Crop Improvement, edited by M. Cooper and G. L. Hammer, 467–486. United Kingdom: CABI.
- Fajemisin, J. M. 2014. The Revolutionary Trend of Maize in Nigeria: My Memoir. Ibadan: Phaloray.
- Gauch, H. G., H. P. Piepho, and P. Annicchiarico. 2008. “Statistical Analysis of Yield Trials by AMMI and GGE: Further Considerations.” Crop Science 48 (3): 866–889. doi:https://doi.org/10.2135/cropsci2007.09.0513.
- Gauch, H. G., and W. Zobel. 1997. “Identifying Mega-Environments and Targeting Genotypes.” Crop Science 37 (2): 311–326. doi:https://doi.org/10.2135/cropsci1997.0011183X003700020002x.
- Institute, S. A. S. 2014. The SAS System for Windows. Vol. 9.3. Cary, NC: SAS Inst.
- Kang, M. S., and R. Magari. 1995. “STABLE: A BASIC Program for Calculating Stability and Yield-Stability Statistics.” Agronomy Journal 87 (2): 276–277. doi:https://doi.org/10.2134/agronj1995.00021962008700020023x.
- Mengesha, W., A. Menkir, S. Meseka, B. Bossey, A. Afolabi, J. Burgueno, and J. Crossa. 2019. “Factor Analysis to Investigate Genotype and Genotype × Environment Interaction Effects on Pro-Vitamin A Content and Yield in Maize Synthetics.” Euphytica 215 (11): 1–15. doi:https://doi.org/10.1007/s10681-019-2505-3.
- Meseka, S., A. Menkir, S. Olakojo, A. Jalloh, N. Coulibaly, and O. Bossey. 2016. “Yield Stability of Yellow Maize Hybrids in the Savannas of West Africa.” Agronomy Journal 108 (4): 1313–1320. doi:https://doi.org/10.2134/agronj2015.0366.
- Negash, A. W., H. Mwambi, T. Zewotir, and G. Taye. 2013. “Additive Main Effects and Multiplicative Interactions Model (AMMI) and Genotype Main Effect and Genotype by Environment Interaction (GGE) Biplot Analysis of Multi-Environmental Wheat Variety Trials.” African Journal of Agricultural Research 8 (12): 1033–1040. doi:https://doi.org/10.5897/AJAR2012.6648.
- Olayiwola, M. O., and O. J. Ariyo. 2013. “Relative Discriminatory Ability of GGE Biplot and YSi in the Analysis of Genotype × Environment Interaction in Okra.” International Journal of Plant Breeding and Genetics 7 (3): 146–158. doi:https://doi.org/10.3923/ijpbg.2013.146.158.
- Oyekunle, M., and B. Badu-Apraku. 2014. “Genetic Analysis of Grain Yield and Other Traits of Early-Maturing Maize Inbreds under Drought and Well-Watered Conditions.” Journal of Agronomy and Crop Science 200 (2): 92–107. doi:https://doi.org/10.1111/jac.12049.
- Rovere, R. L., T. Abdoulaye, G. Kostandini, Z. Guo, W. Mwangi, J. MacRobert, and J. Dixon. 2014. “Economic, Production, and Poverty Impacts of Investing in Maize Tolerant to Drought in Africa: An Ex-Ante Assessment.” The Journal of Developing Areas 48 (1): 199–225. doi:https://doi.org/10.1353/jda.2014.0016.
- Shukla, G. K. 1972. “Some Statistical Aspects of Partitioning Genotype-environmental Components of Variability.” Heredity 29 (2): 237–245. doi:https://doi.org/10.1038/hdy.1972.87.
- Sujiprihatt, S., S. Ghizan, and S. A. Elthahir. 2003. “Performance and Yield Predictions in Double Cross Hybrids of Tropical Grain Maize.” Pertanika Journal of Tropical Agricultural Science 26: 27–33.
- Wricke, G. 1962. ““Über eine Methode zur Erfassung der ökologischen Streubreite in Feldversuchen.” Z. Pflanzenzüchtg.” Zeitschrift für Pflanzenzüchtung 47: 92–96.
- Yan, W., and L. A. Hunt. 2001. “Interpretation of Genotype × Environment Interaction for Winter Wheat in Ontario.” Crop Science 41 (1): 19–25. doi:https://doi.org/10.2135/cropsci2001.41119x.
- Yan, W., L. A. Hunt, Q. Sheng, and Z. Szlavnics. 2000. “Cultivar Evaluation and Mega-Environment Investigation Based on the GGE Biplot.” Crop Science 40 (3): 597–605. doi:https://doi.org/10.2135/cropsci2000.403597x.
- Yan, W., and M. S. Kang. 2003. GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticist and Agronomist. Boca Raton Florida: CRC Press.
- Yan, W. 2001. “GGEBiplot - a Windows Application for Graphical Analysis of Multi-environment Trial Data and Other Types of Two-way Data.” Agronomy Journal 93 (5): 1111–1118. doi:https://doi.org/10.2134/agronj2001.9351111x.