Multi-environment trials are important to identify desirable genotypes. A field experiment was carried out at four locations for two years to evaluate thirteen malt-sorghum genotypes together with two checks so as to identify stable and high-yielding genotypes. The trial was laid out in a three-time replicated randomized complete block design. Data were collected on seven agronomic and yield-related traits. The results of the combined analyses of variance over years and across locations showed significant (p<0.01) differences among the sorghum genotypes for all the seven traits considered. Both the genotype × location (p<0.05) and genotype × location × year (p<0.01) interactions significantly affected grain yield. The genotype G4 (SDSL89473) gave the highest (4.663 t ha-1) grain yield as compared to the farmers’ variety (3.489 t ha-1). The average-environment coordination view of Genotype main effect plus Genotype-Environment interaction biplot ranked G4 (SDSL89473) as the most desirable (high-yielder and stable) genotype, followed by G7 and G13. Most of the stability statistics including cultivar superiority, mean ranks, mean absolute differences of pairs of ranks and variance of ranks were also identified SDSL89473 as the most stable malt-sorghum genotype. The genotype SDSL89473 could, therefore, be recommended for production in dry low-altitude areas of Northeast Ethiopia. It could also be used as a parent in future malt-sorghum improvement program as a possible parent for crossing.
GGE, malt-sorghum, moisture stress, multi-environment, stability
Abate, F., Mekbib, F., & Dessalegn, Y. (2015). Association of different parametric and nonparametric stability models in durum wheat (Triticum turgidum Desf.) genotypes Int. J. Plant Soil Sci., 7(4), 192-201. doi: 10.9734/IJPSS/2015/15568.
Bantilan, M.C.S., Deb, U.K., Gowda, C.L.L., Reddy, B.V.S., Obilana, A.B., & Evenso, R.E. (2004). Introduction. In: M.C.S. Bantilan, U.K. Deb, C.L.L. Gowda, B.V.S. Reddy, A.B. Obilana and R.E. Evenson (eds.). Sorghum genetic enhancement: research process, dissemination and impacts (pp. 5-18). Andhra Pradesh, India: ICRISAT.
Becker, H.C., & Leon, J. (1988). Stability analysis in plant breeding. Plant Breeding, 101, 11-23. https://doi.org/10.1111/j.1439-0523.1988.tb00261.x
Benor, S., & Sisay, L. (2003). Folk classification of sorghum (Sorghum bicolor (L.) Moench) land races and its ethnobotanical implication: a case study in northeastern Ethiopia. Etnobiología, 3, 29-41.
Crossa, J., Gauch Jr. H.G., & Zobel, R.W. (1990). Additive main effects and multiplicative interaction analysis of two international maize cultivar trials. Crop science, 30, 493-500. https://doi.org/10.2135/cropsci1990.0011183X003000030003x
CSA (Central Statistical Authority) (2019). Agricultural Sample Survey 2018/19, Volume I: Report on area and production for major crops. Statistical bulletin 589. Addis Ababa, Ethiopia.
Derese, S.A., Shimelis, H., Mwadzingeni, L., & Laing, M. (2018). Agro-morphological characterisation and selection of sorghum landraces. ACTA Agriculturae Scandinavica, Section B — Soil & Plant Science, 1-11.
Desmae, H., Jordan, D.R., & Godwin, I.D. (2016). Geographic patterns of phenotypic diversity in sorghum (Sorghum bicolor (L.) Moench) landraces from North Eastern Ethiopia. Afr. J. Agric. Res., 11(33), 3111-3122.
Lin, C.S., & Binns, M.R. 1988. A superiority measure of cultivar performance for cultivar x location data. Can. J. Plant Sci., 68, 193-198. https://doi.org/10.4141/cjps88-018
Mare, M., Manjeru, P., Ncube, B., & Sisito, G. (2017). GGE biplot analysis of genotypes by environment interaction on Sorghum bicolor L. (Moench) in Zimbabwe. Afr. J. Plant Sci., 11(7), 308-319.
MoANR. (2016). Crop variety register. Issue No. 18. Plant variety release, protection and seed quality control directorate. Addis Ababa, Ethiopia.
Nassar, R., & Huehn, M. (1987). Studies on estimation of phenotypic stability: Test of significance for non-parametric measures of phenotypic stability. Biometrics, 43, 45-53. doi: 10.2307/2531947
Noruzi, E., & Ebadi, A. (2015). Comparison of parametric and non-parametric methods for analysing genotype × environment interactions in sunflower (Helianthus annuus L.) inbred lines. Jordan Journal of Agricultural Sciences, 11(4), 959-979.
Purchase, J.L., Hatting, H., & van Deventer, C.S. (2000). Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. S. Afr. J. Plant Soil, 17(3), 101-107. DOI: 10.1080/02571862.2000.10634878
Seyoum, A., Tadesse, T., Nega, A., Kinfe, H., Tsehaye, Y., & Belay, S.S. (2019). Adaptation and verification of malt sorghum (Sorghum bicolor (L.) Moench) genotype in drought prone areas of Ethiopia. Acad. Res. J. Agri. Sci. Res., 7(3), 160-165.
Steel, R.G., & Torrie, J.H. (1980). Principles and procedures of statistics. McGraw-Hill, New York.
Temesgen, T., Keneni, G., Sefera, T.,& Jarso, M. (2015). Yield stability and relationships among stability parameters in faba bean (Vicia faba L.) genotypes. The Crop Journal, 3, 258-268. http://dx.doi.org/10.1016/j.cj.2015.03.004
Tesfahun, G., Tadesse, G., Worede, F., & Hassen, J. (2007). Characterizing the patterns and challenges of sorghum production in Welo, pp. 395-410. In: T. Zegeye, S. Regessa and D. Alemu (eds). Technologies, markets and poverty: Evidence from studies of agricultural commodities in Ethiopia. Proceedings of the second workshop, 29-30 November 2005. Ethiopian Institute of Agricultural Research, Addis Ababa.
Worede, F., Tarekegn, F., & Teshome, K. (2021). Simultaneous selection for grain yield and stability of sorghum [Sorghum bicolor (L.) Moench] genotypes in Northeast Ethiopia. Afr. J. Agric. Res., 17(10), 1316-1323.
Worede, F., Mamo, M., Assefa, S., Gebremariam, T., & Beze, Y. (2020a). Yield stability and adaptability of lowland sorghum (Sorghum bicolor (L.) Moench) in moisture-deficit areas of Northeast Ethiopia. Cogent Food and Agriculture, 6, 1736865. https://doi.org/10.1080/23311932.2020.1736865
Worede, F., Mehadi, T., & Wondimu, S. (2020b). Stability analyses of tef (Eragrostis tef [Zucc.] Trotter) grain yield in dryland areas of Northeast Ethiopia. Cogent Food and Agriculture, 6(1), 1847760. https://doi.org/10.1080/23311932.2020.1847760
Wricke, G. (1962). Method of understanding the biological diversity in field research. Pfianzenzuchtg, 47, 92-146.
Yan, W., Hunt, L.A., Sheng, Q., & Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40, 597-605. https://doi.org/10.2135/cropsci2000.403597x
Yan, W., ent trial data: Principles and applications. Can. J. Plant Sci., 86, 623-645.
