Now showing items 1-2 of 2
Evaluation of the Ceres-maize model in the simulating maize (Zea Mays L)growth, development and yield at different planning dates and nitrogen rates in a subtropical environment of Zambia
(University of Zambia, 2014)
Crop simulation models can accurately predict yield with a priori knowledge of the soil properties and crop management practices. Generation of new information through traditional agronomic research practices is not ...
Interactive effects of n fertilization rate, cultivars and planting date under climate change on maize (zea mays l.) yield using crop simulation and statistical downscaling of climate models
(University of Zambia, 2019)
Generating new information using traditional agricultural trials which are expensive is not sufficient to meeting novel agro-technologies. Planting date (PD), low soil fertility and climate change influences maize (Zea ...