Evaluation of Maize Grain Yield in Drought-Prone Environment of Southern Guinea Savanna of Nigeria
Sažetak
Multi-location trials data obtained between 2007 and 2014 involving open pollinated (OPVs) and hybrid maize (Zea mays L.) were analyzed using the genotype and genotype x environment (GGE) and additive main effect and multiplicative interaction (AMMI) models to assess their performance and suitability as cultivars, identify promising genotypes and sites for further evaluations in the different locations of the southern Guinea savanna of Nigeria. The experiments were set up as a randomized complete block design with three replications in all the locations. The plot size consisted of two rows, 5m long with inter and intra row spacing of 0.75m x 0.4m for the early maturing varieties and 0.75m x 0.5m for Intermediate/Late maturing and hybrids. Two seeds were planted/hill to give a plant population of approximately 66,000 plants/ha (early) 54,000 plants/ha (intermediate/late). Data were collected on agronomic and yield parameters. The environment accounted for 84.80% and 90.42% of the total variation in grain yield of OPVs and hybrids, respectively. TZE-Y-DT STR C4 (early OPV) and white-DT-STR-SYN (intermediate/late OPV), TZE-W-Pop-DT STR-C5 (early maturing hybrids) and TZEEI 3 x TZEEI 46 (extra early genotype) were the most stable and good grain yields. The core test locations for evaluation of early OPVs, intermediate/late OPVs and hybrids are Ilorin/Ballah, Ejiba/Mokwa and Kishi/Badeggi, respectively. This study recommends that fewer but better locations that provide relevant information should be used for conducting multi-location trials and TZE-Y-DT STR C4, white-DT-STR-SYN, TZE-W-POP-DT STR-C5 and TZEEI 3 x TZEEI 46 should be further evaluated on farmer’s fields.
Reference
Badu-Apraku, B. and Lum, A.F. (2010). The pattern of grain yield response of normal and quality protein maizecultivars in stressed and non-stressed environments. Agron.Journal 102:381-394.
Badu-Apraku, B., Lum, A.F., Fakorede, M.A.B., Menkir, A., Chabi, Y. The, C., Abdulai, M., Jacob, S. and Agbaje, S. (2008). Performance of early maize cultivars derived from recurrent selection for grain yield and Striga resistance. Crop Sci. 48:99-112.
Badu-Apraku, B., Oyekunle, M., Obeng-Antwi, K., Osuman, A.S., Ado, S.G., Coulibaly, N., Yallou, C.G., Abdullai, M., Boakyewaa, G.A., and Didjeira, A. (2011). Performance of extra-early maize cutivars based on GGE biplot and AMMI analysis. J. Agric. Sci. 150: 473-483.
Badu-Apraku, B., Akinwale, R.O., Obeng-Antwi, K., Haruna, A., Usman, R.I., Ado, S.G., Coulibaly, N., Yallou G.C. and Oyekunle, M. (2013). Assessing the representativeness and repeatability of testing sites for drought-tolerant maize in West Africa. Can. J. Plant Sci. 93: 699-714
Beyene, Y., K. Semagn, J. Crossa, S. Mugo, G. Altin, A. Tarekegne, B. Meisel, P. Sehabiague, B.S. Vivek, S. Oikeh, G. Alvarado, L. Machida, M. Olsen, B.M. Prasanna and M. Bänziger. (2016). Improving maize grain yield under drought stress and non-stress environments in sub-saharan Africa using marker assisted recurrent selection. Crop Sci. 56:344-353.
Cairns, J.E., Hellin, J., Sonder, K., Araus, J.L., MacRobert, J.F., Thierfelder, C. and Prasanna, B.M.(2013). Adapting maize production to climate change in sub-Saharan Africa. Food Sec., 5:345–360.
Edemeades, G.O, Bazinger, M, Chapman, S.C, Ribault, J.M. and Bolanos, J. (1997). Recent advances in breeding for drought tolerance in maize. Pages 22-41. In B. Badu-apraku, M.O. Akorfoda, M. Ouderago and F.M. Quin (eds). Contributing to food self-sufficiency: Maize Research and Development in West Africa. Proceedings of a regional maize workshop 29 May – 2 June, 1995t. IITA, Cotouou, Benin Republic.
Jensen, S. 1994. Genetic improvement of maize for drought tolerance. Pages 67-75 in Jewell et.al (eds). Maize Research for stress environments. Proc. of 4th Eastern and Southern Africa Regional Maize conf. Harare, Zimbabwe.
Karimizadeh, R., Mohammad, M., Sabaghni, N., Mahmoodi, A.A., Roustami, B., Seyyedi, F. and Akbari, F. (2013). GGE biplot analysis of yield stability in multi-environment trials of lentil genotypes under rainfed condition. Not. Sci. Biol. 5(2): 256-262
Menkir, A. and Akintunde, A.O. (2001). Evaluation of the performance of maize hybrids, improved open pollinated and farmers’ local varieties under well watered and drought stress conditions. Maydica 46: 227-238.
Ngure, M. (1994). Strategies for increasing maize production in moisture stress areas of eastern Kenya. Pages 76-80 in Jewell et.al (eds). Maize Research for stress environments. Proc. of 4th Eastern and Southern Africa Regional Maize conf. Harare, Zimbabwe.
Njoroge, K. (1994). Seedling vigour as a selection criterium in breeding maize under water stress. Pages 86-91 in Jewell et.al (eds). Maize Research for stress environments. Proc. of 4th Eastern and Southern Africa Regional Maize conf. Harare, Zimbabwe.
Olaoye, G. (2009). Screening for moisture deficit tolerance in four maize populations derived from drought tolerant inbred and adapted cultivar crosses. J Tropical and Subtropical Agroecosystem. Mexico. 10:237-251.
Setimela, P.S., Vivek, B., Banziger, M., Crossa, J. and Maideni, F. (2007). Evaluation of early to medium maturing open pollinated maize varieties in SADC region using GGE biplot based on the SREG model. Field Crops Res 103:161-169.
Yan, W. (2001). GGE biplot- a Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron J. 93:1111-1118.
Yan, W. and Tinker, N.A. (2006). Biplot analysis of multi-environment trial data: principles and application. Can. J. Plant Sci. 86 (3), 623–645.
Yan, W., Pageau, D., Fregeau-Reid, J. and Durand, J. (2010). Assessing the representativeness and repeatability of test locations for genotype evaluation. Crop Sci. 51: 1603-1610.
Bolanos, J. and Edmeades, G.O. (1993). Eight cycles of drought tolerance in lowland tropical maize: response in grain yield, biomass, and radiation utilization. Field Crops Res. 31: 233-252.