Modelling and multiple linear regression were used to explore the reason for low maize yield in the Atebubu-Amantin and West Mamprusi Districts of Ghana, West Africa. The study evaluated maize yields on twenty farms against measures of soil fertility, agronomic attributes and soil water availability. Correlations between yield, soil fertility, rain, crop density, and weed biomass, were low, and no single factor could explain the low yields. A 50-year virtual experiment was then set up using the Agricultural Production Systems Simulator (APSIM) to explore the interactions between climate, crop management (sowing date and nitrogen fertilization) and rooting depth on grain yield and nitrate (NO3-N) dynamics. The analysis showed that a lack of ...
Rain-fed farming systems dominate Ghanaian agriculture, especially regarding the cultivation of majo...
Change in cropping practices is required to address the food security issues in Africa. Yet, testing...
Remote sensing data, crop modelling, and statistical methods are combined in an original method to o...
Modelling and multiple linear regression were used to explore the reason for low maize yield in the ...
Yield levels and the factors determining crop yields is an important strand of research on rainfed f...
Agricultural production in Ghana should more than double to fulfil the estimated food demand in 205...
Climate change and variability pose a serious threat to food production in sub-Saharan Africa. The p...
Smallholder maize growers are experiencing significant yield gaps due to sub-optimal agricultural pr...
Maize production in low-yielding regions is influenced by climate variability, poor soil fertility, ...
Smallholder farmers in sub-Saharan Africa (SSA) currently grow rainfed maize with limited inputs inc...
Smallholder farmers in sub‐Saharan Africa (SSA) currently grow rainfed maize with limited inputs inc...
Smallholder farmers in sub‐Saharan Africa (SSA) currently grow rainfed maize with limited inputs inc...
Fertilizer use and intensity is low in Sub-Saharan Africa. Further, soil fertility has been declinin...
Open Access JournalMaize (Zea mays) has traditionally been a major cereal staple in southern Ghana. ...
Implementation of suitable innovation packages into cropping systems is required to address the issu...
Rain-fed farming systems dominate Ghanaian agriculture, especially regarding the cultivation of majo...
Change in cropping practices is required to address the food security issues in Africa. Yet, testing...
Remote sensing data, crop modelling, and statistical methods are combined in an original method to o...
Modelling and multiple linear regression were used to explore the reason for low maize yield in the ...
Yield levels and the factors determining crop yields is an important strand of research on rainfed f...
Agricultural production in Ghana should more than double to fulfil the estimated food demand in 205...
Climate change and variability pose a serious threat to food production in sub-Saharan Africa. The p...
Smallholder maize growers are experiencing significant yield gaps due to sub-optimal agricultural pr...
Maize production in low-yielding regions is influenced by climate variability, poor soil fertility, ...
Smallholder farmers in sub-Saharan Africa (SSA) currently grow rainfed maize with limited inputs inc...
Smallholder farmers in sub‐Saharan Africa (SSA) currently grow rainfed maize with limited inputs inc...
Smallholder farmers in sub‐Saharan Africa (SSA) currently grow rainfed maize with limited inputs inc...
Fertilizer use and intensity is low in Sub-Saharan Africa. Further, soil fertility has been declinin...
Open Access JournalMaize (Zea mays) has traditionally been a major cereal staple in southern Ghana. ...
Implementation of suitable innovation packages into cropping systems is required to address the issu...
Rain-fed farming systems dominate Ghanaian agriculture, especially regarding the cultivation of majo...
Change in cropping practices is required to address the food security issues in Africa. Yet, testing...
Remote sensing data, crop modelling, and statistical methods are combined in an original method to o...