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Yacob Beletse
CSIRO Agriculture and Food, GPO Box 1700, Canberra ACT 2601, Australia

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Journal article
Published: 22 September 2020 in Agriculture
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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 optimal sowing dates that synchronize radiation, rainfall events and nitrogen (N) management with critical growth stages explained the low farm yields.

ACS Style

Eric Danquah; Yacob Beletse; Richard Stirzaker; Christopher Smith; Stephen Yeboah; Patricia Oteng-Darko; Felix Frimpong; Stella Ennin. Monitoring and Modelling Analysis of Maize (Zea mays L.) Yield Gap in Smallholder Farming in Ghana. Agriculture 2020, 10, 420 .

AMA Style

Eric Danquah, Yacob Beletse, Richard Stirzaker, Christopher Smith, Stephen Yeboah, Patricia Oteng-Darko, Felix Frimpong, Stella Ennin. Monitoring and Modelling Analysis of Maize (Zea mays L.) Yield Gap in Smallholder Farming in Ghana. Agriculture. 2020; 10 (9):420.

Chicago/Turabian Style

Eric Danquah; Yacob Beletse; Richard Stirzaker; Christopher Smith; Stephen Yeboah; Patricia Oteng-Darko; Felix Frimpong; Stella Ennin. 2020. "Monitoring and Modelling Analysis of Maize (Zea mays L.) Yield Gap in Smallholder Farming in Ghana." Agriculture 10, no. 9: 420.