Impact of potential evapotranspiration on maize yields in Northern Cameroon using AquaCrop model

2020 ◽  
Vol 10 (1) ◽  
pp. 17
Author(s):  
Brice B.S. Wandjie ◽  
Andre Lenouo ◽  
David Monkam
Keyword(s):  
Potential Evapotranspiration ◽  
Aquacrop Model ◽  
Northern Cameroon ◽  
Maize Yields

scholarly journals Irrigation Requirements and Yields of Maize Crop Under Future Climate in Some Cities of Northern Cameroon

2020 ◽  
Vol 12 (8) ◽  
pp. 226
Author(s):  
Charveline Francine Donfack ◽  
Brice B. S. Wandjie ◽  
Andre Lenouo ◽  
David Monkam ◽  
Clement Tchawoua
Keyword(s):  
Irrigation Water ◽  
Meteorological Data ◽  
Moisture Stress ◽  
Regional Model ◽  
Future Climate ◽  
Maize Crop ◽  
Aquacrop Model ◽  
Northern Cameroon ◽  
Maize Yields ◽  
Irrigation Requirements

Using meteorological data obtained from Regional Model (REMO), maize yields from the years 2020 to 2099 were simulated by AquaCrop Model in Maroua, Garoua and Kaélé. These future yields are almost nil for the three cities. In view to determine the minimum quantities of water needed to improve them, the hypothesis of no water moisture stress was considered. For the four periods of 20 consecutive years (2020-2039, 2040-2059, 2060-2079 and 2080-2099), average yields of 5.21, 5.11, 4.97, and 4.73 ton/ha are obtained in Garoua, 5.05, 4.97, 4.64, and 3.87 ton/ha in Maroua and 4.91, 4.82, 4.51 and 3.69 t/ha in Kaélé. The average quantities of water irrigation (also obtained with AquaCrop) for the same periods are 13, 19, 46 and 78 mm for Garoua; 34, 48, 84 and 147 mm for Maroua and 57, 68, 111 and 171 mm for Kaélé. The yields by considering these irrigation water quantities are improved and the following values are obtained for the four periods indicated above: 5.20, 5.10, 4.99 and 4.82 ton/ha for Garoua; 5.10, 5.00, 4.78 and 4.35 ton/ha for Maroua and 4.99, 4.91, 4.75 and 4.50 ton/ha for Kaélé.

scholarly journals Influence of the AquaCrop soil module on the estimation of soybean and maize crop yield in the State of Parana, Brazil

2020 ◽  
Vol 38 (2) ◽  
pp. 234-241
Author(s):  
Jorge Luiz Moretti de Souza ◽  
Stefanie Lais Kreutz Rosa ◽  
Karla Regina Piekarski ◽  
Rodrigo Yoiti Tsukahara
Keyword(s):  
Crop Yields ◽  
Texture Classification ◽  
Simulation Models ◽  
Crop Productivity ◽  
Maize Crop ◽  
Aquacrop Model ◽  
Standard Scenario ◽  
Maize Yields ◽  
Soil Climate

The values of the physical-water attributes of soils for use in agricultural simulation models are usually obtained using difficult and time-consuming methods. The objective of this study was to analyze the performance of the AquaCrop model to estimate soybean and maize crop productivity in the region of Campos Gerais (Brazil), with the option of including soil physical-water attributes in the model. Real crop productivities and input data (soil, climate, crop and soil management) were obtained from experimental stations of the ABC Foundation for the crop years 2006 to 2014. Sixty-four yield simulations were performed for soybean (four municipalities) and 42 for maize (three municipalities), evaluating input soil data scenarios of AquaCrop as follows: i) all soil physical-water attributes were measured (standard) and ii) the attributes were measured only using textural classification of the area (alternative). Real and simulated yields were verified by simple linear regression analyses and statistical indices (r, d, c). The standard scenario yielded performances between very good and excellent (0.75<c≤1.0) for soybean and between bad and excellent (0.40<c≤1.0) for maize. The alternative scenario was more variable, with performances between terrible and excellent (0.0<c≤1.0) for soybean and terrible and medium (0.0<c≤0.65) for maize. Using only the soil texture classification in AquaCrop indicated an easier way to estimate crop yields, but low performances may restrict estimates of soybean and maize yields in Campos Gerais.

Use of Aquacrop Model to Predict Maize Yields under varying Rainfall and Temperature in a Semi-Arid Environment in Kenya

2007 ◽  
Vol 6 ◽  
pp. 26-35 ◽  
Author(s):  
Joab Wamari ◽  
◽  
Sijali Isaya ◽  
Lee Kheng ◽  
Joseph Miriti ◽  
...  
Keyword(s):  
Arid Environment ◽  
Aquacrop Model ◽  
Maize Yields ◽  
Semi Arid

Modelling the Bioclimatic Niche of a Cohort of Selected Mite Species (Acari, Acariformes) Associated with the Infestation of Stored Products

2019 ◽  
Vol 53 (5) ◽  
pp. 399-416
Author(s):  
V. M. Tytar ◽  
Ya. R. Oksentyuk
Keyword(s):  
Potential Evapotranspiration ◽  
Species Distribution Modeling ◽  
Mite Species ◽  
Extreme Weather Events ◽  
Stored Products ◽  
Weather Events ◽  
Moisture Regimes ◽  
Bioclimatic Variables ◽  
Contemporary Climate ◽  
Future Management

Abstract In this study an attempt is made to highlight important variables shaping the current bioclimatic niche of a number of mite species associated with the infestation of stored products by employing a species distribution modeling (SDM) approach. Using the ENVIREM dataset of bioclimatic variables, performance of the most robust models was mostly influenced by: 1) indices based on potential evapotranspiration, which characterize ambient energy and are mostly correlated with temperature variables, moisture regimes, and 2) strong fluctuations in temperature reflecting the severity of climate and/or extreme weather events. Although the considered mite species occupy man-made ecosystems, they remain more or less affected by the surrounding bioclimatic environment and therefore could be subjected to contemporary climate change. In this respect investigations are needed to see how this will affect future management targets concerning the safety of food storages.

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