Global Advanced Research Journal of Agricultural Science (GARJAS) ISSN: 2315-5094
March 2015 Vol. 4(3): pp. 145-155
Copyright © 2015 Global Advanced Research Journals
Full Length Research Paper
Modelling heat stress effect on two maize varieties in Northern Region of Ghana
Trawally Demba N. A.1, Heidi Webber 2, Wilson Agyei Agyare3, Mathias Fosu4, Jesse Naab5 and Thomas Gaiser2
1Department of Civil Engineering, College of Engineering, Kwame Nkrumah University of Science and Technology, Kumasi–Ghana.
2Institute of Crop Science and Resource Conservation Crop Science Group, Katzenburgweg 5, 53115 Bonn, Germany.
3Department of Agricultural Engineering, Kwame Nkrumah University of Science and Technology (KNUST) Kumasi. Ghana.
4Ghana Association of Church-based Development Non-Governmental Organisations in Northern Ghana (ACDEP) Tamale.
5West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL) Competent centre Ouagadougou, Burkina Faso.
*Corresponding Author’s Email: firstname.lastname@example.org;
Tel: (+233) 266 558296
Accepted 07 March, 2015
Agriculture in Ghana accounts for more than 30% of GDP and three-quarters of export earnings. In Sub-Saharan Africa, climate change is predicted to affect the agricultural sector most. The objectives of this study were: to use the SIMPLACE (Scientific Impact assessment and Modelling Platform for Advanced Crop and Ecosystem management) to simulate maize yield under heat stress. To compare SIMPLACE model output with heat stress, and without heat stress. Finally simulate the effect of heat stress on maize yield depending on the sowing date. The study collected and analysed data from field experiments during the 2012/2013 dry season and repeated in 2014 at Botanga irrigation site and the 2014 rainy season at Gbulahagu farming community based on three (3) sowing dates (SD). Comparing the SIMPLACE model output to the observed field data, the duration of development phases were predicted with acceptable accuracy among the three sowing dates. Simulated and observed showed good agreement for maize biomass at several growth stages of the maize. The heat stress component of SIMPLACE gave a good prediction for yield under heat stress when no other stress (water, nutrients) occurred. The estimations of the final yield showed an over estimation when the model was run with no heat stress condition in the rainy season experiment in particular under nutrient stress. The model was successfully parameterized and evaluated for simulating the effect of heat stress on maize yield under no nutrient and drought stress and can therefore be used as a research tool in the study area.
Keywords: maize, sowing date, heat stress, no heat stress biomass, yield.
- Trawally Demba N. A. on Google Scholar
- Trawally Demba N. A. on Pubmed
- Heidi Webber on Google Scholar
- Heidi Webber on Pubmed
- Wilson Agyei Agyare on Google Scholar
- Wilson Agyei Agyare on Pubmed
- Mathias Fosu on Google Scholar
- Mathias Fosu on Pubmed
- Jesse Naab on Google Scholar
- Jesse Naab on Pubmed
- Thomas Gaiser on Google Scholar
- Thomas Gaiser on Pubmed