| Frontiers in Sustainable Food Systems | |
| Modeling the effect of soil fertility management options on maize yield stability under variable climate in a sub-humid zone in Ghana | |
| Sustainable Food Systems | |
| Godfred K. Ofosu-Budu1  Andreas Fliessbach2  Noah Adamtey3  Benedicta Y. Fosu-Mensah4  Dilys S. MacCarthy5  Bright S. Freduah5  | |
| [1] Forest and Horticultural Crops Research Centre, School of Agriculture, University of Ghana, Kade, Ghana;Department of Crop Science, School of Agriculture, College of Basic and Applied Science (CBAS), University of Ghana, Legon, Accra, Ghana;Forschungsinstitut für Biologischen Landbau (FiBL), Research Institute of Organic Agriculture, Institut de Recherche de l’agriculture Biologique, Frick, Switzerland;Forschungsinstitut für Biologischen Landbau (FiBL), Research Institute of Organic Agriculture, Institut de Recherche de l’agriculture Biologique, Frick, Switzerland;International Water Management Institute, Accra, Ghana;Institute for Environment and Sanitation Studies (IESS), College of Basic and Applied Science (CBAS), University of Ghana, Accra, Ghana;Soil and Irrigation Research Centre, Kpong, School of Agriculture, College of Basic and Applied Science (CBAS), University of Ghana, Accra, Ghana; | |
| 关键词: local organic resources; yield uncertainty; integrated nutrient management; West Africa; resource use efficiency; climate variability; | |
| DOI : 10.3389/fsufs.2023.1132732 | |
| received in 2022-12-27, accepted in 2023-08-11, 发布年份 2023 | |
| 来源: Frontiers | |
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【 摘 要 】
IntroductionUncertainty in the yield of maize due to variability in weather is a major challenge to smallholder farmers in Sub Sahara Africa. This study explores the potential of combining locally available organic resources and inorganic fertilizer to increase grain yield and reduce variability in yields associated with variations in rainfall distribution.MethodsTo assess the effectiveness of this practice, the Agricultural Production Systems sIMulator (APSIM) crop model was calibrated and evaluated using maize experiments on nutrient management options. The evaluated model was used to simulate maize growth and yield using multiple-year data (1984–2018) under different planting windows for two growing seasons. The treatments were (i) control, (ii) inorganic fertilizer alone (INOFRecom), combining organic resources [empty fruit bunch of palm (EFB) and compost with inorganic fertilizer (INOF) to make up equivalent nutrients in (ii)]; (iii) EFB + INOF and (iv) Comp + INOF.ResultsThough all the soil amendments boosted grain output, the EFB + INOF treatment outperformed the other treatments in the major season with gains of between 161 and 211% and the most stable (least inter-annual variability of 27%) yield. Across the planting windows, the INOFRecom and EFB + INOF treatments achieved comparable yield increments in the minor season. Though grain yield variability was high during the minor rainy season, combining organic and inorganic fertilizers reduced inter-annual yield variability, thus, lowering uncertainty in yield due to variable inter-annual rainfall. Combining local organic resources with a reduced amount of inorganic fertilizer produced higher yields and better yield stability compared to using only inorganic fertilizer.DiscussionsThus, such soil fertility management solutions might sustain resource use and boost maize grain yield in the study area, where strategies for sustainable crop nutrition remain a critical necessity. The improved nitrogen management regimes may result in fewer environmental hazards for vulnerable rainfed agricultural systems.
【 授权许可】
Unknown
Copyright © 2023 MacCarthy, Adamtey, Freduah, Fosu-Mensah, Ofosu-Budu and Fliessbach.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202310104641044ZK.pdf | 4374KB |
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