Response of Maize to Different Nitrogen Application Rates and Tillage Practices Under Two Slope Positions in the Face of Current Climate Variability in the Sudan Savanna of West Africa

Danso, Isaac; Gaiser, Thomas; Webber, Heidi; Naab, Jesse B.; Ewert, Frank

doi:10.1007/978-981-10-4796-1_3

Cited by 4 publications

(9 citation statements)

References 12 publications

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“…This indicates that maize is very sensitive to growing conditions, and more than it can be expressed with the limited set of genotype, climate, soil and management factors used for our simulations. Wide differences are expected to arise at the local scale due to slope position as well as between regions, even within the same climatic zone and similar soil characteristics [75]. One major factor limiting maize crop yield is the depth of soil root penetration, which in Sudanian savannas is limited by the common presence of laterite layers near the soil surface [93].…”

Section: Biomass and Grain Yieldsmentioning

confidence: 99%

Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

Martínez

Fürst

2021

Land

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West African land use systems have been experiencing one of the fastest transformations in the world over recent decades. The Sudanian savanna is an interesting example, as it hosts the cultivation of some crops typical of the Guinean savanna as well as some of the Sahel. Therefore, this region is likely to experience further changes in its crop portfolio over the next decades due to crop migration processes responding to environmental change. Simulation approaches can guide the development of agricultural production strategies that contribute to sustainably optimize both food and fuel production. This study used crop models already available in the APSIM platform to simulate plant production and the soil water and nutrient cycles of plots cultivated with groundnut, millet, sorghum, maize, and rice on three (two upland and one lowland) soil fertility classes and subjected to five levels of management (conventional tillage without residue incorporated to the soil and nor fertilizer application; conventional tillage without residue incorporated to the soil and 5 kg N ha−1; conventional tillage with residue incorporated to the soil 20 kg N ha−1, and no-till herbicide treated with 50 and 100 kg N ha−1). Simulation outputs were contrasted against data reported in the literature and converted into nutritional, fuel and feed yields based on the qualities and uses of their different plant comparments. Groundnut yields outperformed all of the cereals across most growing conditions, nutritional and feed indicators. Maize and rice provided the highest caloric yields, with the least fertile growing conditions. Sorghum provided average to high caloric and iron yields across all of the treatments. Millet provided the highest iron yields and high fuel yields across most treatments. Some simulated treatments could not be compared against literature review data because of their absence in actual cropping systems and the lack of experimental data. Plant production was simulated with higher accuracy than the other components of the simulation. In particular, there is a need to better parameterize and validate the rice, groundnut and millet models under Sudanian savanna conditions in order to perform more accurate comparative assessments among species.

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Section: Biomass and Grain Yieldsmentioning

confidence: 99%

Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

Martínez

Fürst

2021

Land

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“…The field experiments to calibrate and evaluate the DSSAT tillage model have been described earlier (Danso, 2015;Danso et al, 2018aDanso et al, , 2018bNafi et al, 2020Nafi et al, , 2019. The experiments were conducted from 2012 to 2016 on farmers' fields in Dassari (10˚49´N, 1˚04´E), Atakora Province, Republic of Benin, and in Dano (11˚10´N, 2˚38´W), Ioba province, Burkina-Faso.…”

Section: Site Descriptionmentioning

confidence: 99%

“…The study sites belong to the Sudan-Savanna agro-ecological zone, characterized by a semi-humid climate. This region has a monomodal rainfall regime of 3-6 months from May to October with a mean rainfall ranges between 900 mm to 1000 mm, while the mean temperature is 15 ˚C during the night and 40 ˚C during the day in the rainy season (Danso et al, 2018a(Danso et al, , 2018bKpongor, 2007). The mean monthly cumulative rainfall in Dano and Dassari during the maize growing seasons (June to October) in 2014 and 2016 were 780 mm and 850 mm, respectively (Nafi et al, 2019).…”

Section: Site Descriptionmentioning

confidence: 99%

“…A factorial combination of 2 tillage operations (contour ridge and reduced tillage), 1 crop residue treatment (with crop residue), and 2 N fertilizer rates (recommended N fertilizer: 60 kg ha -1 and double recommended N rate: 120 kg ha -1 ) was implemented as treatments in the model to compare the effect of the two tillage options under baseline and future warmer climate scenarios. During the scenario simulation, we omitted the 0 Kg ha -1 N fertilizer treatment (N0) as evidenced from experimental data that N0 has no significant effects on maize yield, N use efficiency, and soil properties (Danso et al, 2018a(Danso et al, , 2018bNafi et al, 2020Nafi et al, , 2019. A common planting date, 7 th July was set for all simulations depending on the number of consecutive rainfall days.…”

Section: Scenario Simulation Setupmentioning

confidence: 99%

“…According to Danso et al (2018a), higher maize yield was attributed to the contour ridge tillage system compared to the reduced tillage system. Nafi et al (2020Nafi et al ( , 2019) also showed a higher crop NUE, SOC, and soil nutrient stocks under contour ridge tillage in St2 and St4, while reduced tillage led to a slightly better performance of maize crop in St3.…”

Section: Tillage Options Evaluationmentioning

confidence: 99%

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Can reduced tillage buffer the future climate warming effects on maize yield in different soil types of West Africa?

Nafi

Webber

Danso³

et al. 2021

Soil and Tillage Research

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Bias correction of daily precipitation for ungauged locations using geostatistical approaches: A case study for the CORDEX‐Africa ensemble

Lorenz

Bliefernicht

Kunstmann

2022

Intl Journal of Climatology

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Climate model simulations typically exhibit a bias, which can be corrected using statistical approaches. In this study, a geostatistical approach for bias correction of daily precipitation at ungauged locations is presented. The method utilizes a double quantile mapping with dry day correction for future periods. The transfer function of the bias correction for the ungauged locations is established using distribution functions estimated by ordinary kriging with anisotropic variograms. The methodology was applied to the daily precipitation simulations of the entire CORDEX-Africa ensemble for a study region located in the West African Sudanian Savanna. This ensemble consists of 23 regional climate models (RCM) that were run for three different future scenarios (RCP 2.6, RCP 4.5, and RCP 8.5). The evaluation of the approach for a historical 50-year period showed that the method can reduce the inherent strong precipitation bias of RCM simulations, thereby reproducing the main climatological features of the observed data. Moreover, the bias correction technique preserves the climate change signal of the uncorrected RCM simulations. However, the ensemble spread is increased due to an overestimation of the rainfall probability of uncorrected RCM simulations. The application of the bias correction method to the future period (2006-2100) revealed that annual precipitation increases for most models in the near (2020-2049) and far future (2070-2099) with a mean increase of up to 165 mm Á a − 1 (18%). An analysis of the monthly and daily time series showed a slightly delayed onset and intensification of the rainy season.

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Response of Maize to Different Nitrogen Application Rates and Tillage Practices Under Two Slope Positions in the Face of Current Climate Variability in the Sudan Savanna of West Africa

Cited by 4 publications

References 12 publications

Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

Simulating the Capacity of Rainfed Food Crop Species to Meet Social Demands in Sudanian Savanna Agro-Ecologies

Can reduced tillage buffer the future climate warming effects on maize yield in different soil types of West Africa?

Bias correction of daily precipitation for ungauged locations using geostatistical approaches: A case study for the CORDEX‐Africa ensemble

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