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 water transpired and irrigation on maize yields for future climate scenarios using Regional Model

2021 ◽  
Author(s):  
Charveline F. Donfack ◽  
Brice B. S. Wandjie ◽  
Eric Efon ◽  
Andre Lenouo ◽  
David Monkam ◽  
...  
Keyword(s):  
Regional Model ◽  
Future Climate ◽  
Climate Scenarios ◽  
Influence Of Water ◽  
Maize Yields

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.

scholarly journals Assessment of Agricultural Water Requirements for Semi-Arid Areas: A Case Study of the Boufakrane River Watershed (Morocco)

2021 ◽  
Vol 11 (21) ◽  
pp. 10379
Author(s):  
Mohammed El Hafyani ◽  
Ali Essahlaoui ◽  
Kimberley Fung-Loy ◽  
Jason A. Hubbart ◽  
Anton Van Rompaey
Keyword(s):  
Land Use ◽  
Irrigation Water ◽  
Fruit Trees ◽  
Agricultural Water ◽  
Water Requirements ◽  
Crop Types ◽  
Olive Trees ◽  
Semi Arid ◽  
Irrigation Requirements

This work was undertaken to develop a low-cost but reliable assessment method for agricultural water requirements in semi-arid locations based on remote sensing data/techniques. In semi-arid locations, water resources are often limited, and long-term water consumption may exceed the natural replenishment rates of groundwater reservoirs. Sustainable land management in these locations must include tools that facilitate assessment of the impact of potential future land use changes. Agricultural practices in the Boufakrane River watershed (Morocco) were used as a case study application. Land use practices were mapped at the thematic resolution of individual crops, using a total of 13 images generated from the Sentinel-2 satellites. Using a supervised classification scheme, crop types were identified as cereals, other crops followed by cereals, vegetables, olive trees, and fruit trees. Two classifiers were used, namely Support vector machine (SVM) and Random forest (RF). A validation of the classified parcels showed a high overall accuracy of 89.76% for SVM and 84.03% for RF. Results showed that cereal is the most represented species, covering 8870.43 ha and representing 52.42% of the total area, followed by olive trees with 4323.18 ha and a coverage rate of 25%. Vegetables and other crops followed by cereals cover 1530.06 ha and 1661.45 ha, respectively, representing 9.4% and 9.8% of the total area. In the last rank, fruit trees occupy only 3.67% of the total area, with 621.06 ha. The Food and Agriculture Organization (FAO) free software was used to overlay satellite data images with those of climate for agricultural water resources management in the region. This process facilitated estimations of irrigation water requirements for all crop types, taking into account total potential evapotranspiration, effective rainfall, and irrigation water requirements. Results showed that olive trees, fruit trees, and other crops followed by cereals are the most water demanding, with irrigation requirements exceeding 500 mm. The irrigation requirements of cereals and vegetables are lower than those of other classes, with amounts of 300 mm and 150 mm, respectively.

scholarly journals Simulation of future climate scenarios and the impact on the water availability in southern Brazil

2021 ◽  
Vol 43 ◽  
pp. e56026
Author(s):  
Gabriela Leite Neves ◽  
Jorim Sousa das Virgens Filho ◽  
Maysa de Lima Leite ◽  
Frederico Fabio Mauad
Keyword(s):  
Climate Change ◽  
Water Balance ◽  
Water Availability ◽  
Meteorological Data ◽  
Future Climate ◽  
Climate Scenarios ◽  
Southern Brazil ◽  
Climate Data ◽  
Intergovernmental Panel ◽  
The Impact

Water is an essential natural resource that is being impacted by climate change. Thus, knowledge of future water availability conditions around the globe becomes necessary. Based on that, this study aimed to simulate future climate scenarios and evaluate the impact on water balance in southern Brazil. Daily data of rainfall and air temperature (maximum and minimum) were used. The meteorological data were collected in 28 locations over 30 years (1980-2009). For the data simulation, we used the climate data stochastic generator PGECLIMA_R. It was considered two scenarios of the fifth report of the Intergovernmental Panel on Climate Change (IPCC) and a scenario with the historical data trend. The water balance estimates were performed for the current data and the simulated data, through the methodology of Thornthwaite and Mather (1955). The moisture indexes were spatialized by the kriging method. These indexes were chosen as the parameters to represent the water conditions in different situations. The region assessed presented a high variability in water availability among locations; however, it did not present high water deficiency values, even with climate change. Overall, it was observed a reduction of moisture index in most sites and in all scenarios assessed, especially in the northern region when compared to the other regions. The second scenario of the IPCC (the worst situation) promoting higher reductions and dry conditions for the 2099 year. The impacts of climate change on water availability, identified in this study, can affect the general society, therefore, they must be considered in the planning and management of water resources, especially in the regional context

scholarly journals Mediterranean irrigation under climate change: more efficient irrigation needed to compensate increases in irrigation water requirements

2015 ◽  
Vol 12 (8) ◽  
pp. 8459-8504 ◽  
Author(s):  
M. Fader ◽  
S. Shi ◽  
W. von Bloh ◽  
A. Bondeau ◽  
W. Cramer
Keyword(s):  
Climate Change ◽  
Irrigation Water ◽  
Mediterranean Region ◽  
Eastern Mediterranean ◽  
Water Requirements ◽  
Co2 Fertilization ◽  
Fertilization Effect ◽  
Co2 Fertilization Effect ◽  
The Mediterranean ◽  
Irrigation Requirements

Abstract. Irrigation in the Mediterranean is of vital importance for food security, employment and economic development. This study systematically assesses how climate change and increases in atmospheric CO2 concentrations may affect irrigation requirements in the Mediterranean region by 2080–2090. Future demographic change and technological improvements in irrigation systems are accounted for, as is the spread of climate forcing, warming levels and potential realization of the CO2-fertilization effect. Vegetation growth, phenology, agricultural production and irrigation water requirements and withdrawal were simulated with the process-based ecohydrological and agro-ecosystem model LPJmL after a large development that comprised the improved representation of Mediterranean crops. At present the Mediterranean region could save 35 % of water by implementing more efficient irrigation and conveyance systems. Some countries like Syria, Egypt and Turkey have higher saving potentials than others. Currently some crops, especially sugar cane and agricultural trees, consume in average more irrigation water per hectare than annual crops. Different crops show different magnitude of changes in net irrigation requirements due to climate change, being the increases most pronounced in agricultural trees. The Mediterranean area as a whole might face an increase in gross irrigation requirements between 4 and 18 % from climate change alone if irrigation systems and conveyance are not improved (2 °C global warming combined with full CO2-fertilization effect, and 5 °C global warming combined with no CO2-fertilization effect, respectively). Population growth increases these numbers to 22 and 74 %, respectively, affecting mainly the Southern and Eastern Mediterranean. However, improved irrigation technologies and conveyance systems have large water saving potentials, especially in the Eastern Mediterranean, and may be able to compensate to some degree the increases due to climate change and population growth. Both subregions would need around 35 % more water than today if they could afford some degree of modernization of irrigation and conveyance systems and benefit from the CO2-fertilization effect. Nevertheless, water scarcity might pose further challenges to the agricultural sector: Algeria, Libya, Israel, Jordan, Lebanon, Syria, Serbia, Morocco, Tunisia and Spain have a high risk of not being able to sustainably meet future irrigation water requirements in some scenarios. The results presented in this study point to the necessity of performing further research on climate-friendly agro-ecosystems in order to assess, on the one side, their degree of resilience to climate shocks, and on the other side, their adaptation potential when confronted with higher temperatures and changes in water availability.

Effects of Winged Bean on a Following Maize Crop

1991 ◽  
Vol 27 (3) ◽  
pp. 329-338 ◽  
Author(s):  
R. R. Weil ◽  
A. Samaranayake
Keyword(s):  
Response Curve ◽  
Maximum Yield ◽  
Winged Bean ◽  
Psophocarpus Tetragonolobus ◽  
Maize Crop ◽  
Nitrogen Response ◽  
Plant Parts ◽  
Previous Crop ◽  
Agroecological Zones ◽  
Maize Yields

SummaryThe effects of winged bean (Psophocarpus tetragonolobus) on a following crop of maize were assessed in two agroecological zones of Sri Lanka. Maize was grown after maize with variable rates of nitrogen fertilizer (0–150 kg N ha−1) or after winged bean or soyabean (Glytine max). Where it could be extrapolated from the nitrogen response curve, the apparent nitrogen contribution by winged bean was 70 kg N ha−1. However, in some cases maize after winged bean yielded more than the maximum yield predicted by the Mitscherlich N-response curve, suggesting the effect of some yield-enhancing mechanism in addition to nitrogen contribution. Where no fertilizer nitrogen was used, maize yields on land which had previously grown winged bean were 52–91% higher than those where maize was the previous crop. Winged bean proved to be an effective green manure crop even when all above-ground plant parts were harvested for food and fodder.

Arsenic contamination in irrigation water, agricultural soil and maize crop from an abandoned smelter site in Matehuala, Mexico

2017 ◽  
Vol 339 ◽  
pp. 330-339 ◽  
Author(s):  
Esther Aurora Ruíz-Huerta ◽  
Alonso de la Garza Varela ◽  
Juan Miguel Gómez-Bernal ◽  
Francisco Castillo ◽  
Miguel Avalos-Borja ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Agricultural Soil ◽  
Arsenic Contamination ◽  
Maize Crop

scholarly journals Integrating Sentinel-2 Imagery with AquaCrop for Dynamic Assessment of Tomato Water Requirements in Southern Italy

Agronomy ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 404 ◽  
Author(s):  
Anna Dalla Marta ◽  
Giovanni Battista Chirico ◽  
Salvatore Falanga Bolognesi ◽  
Marco Mancini ◽  
Guido D’Urso ◽  
...  
Keyword(s):  
Irrigation Water ◽  
Dynamic Assessment ◽  
Canopy Cover ◽  
Development Stage ◽  
Crop Water ◽  
Water Requirements ◽  
Tomato Crop ◽  
Crop Water Requirements ◽  
Aquacrop Model ◽  
Sentinel 2

A research study was conducted in an open field tomato crop in order to: (i) Evaluate the capability of Sentinel-2 imagery to assess tomato canopy growth and its crop water requirements; and (ii) explore the possibility to predict crop water requirements by assimilating the canopy cover estimated by Sentinel-2 imagery into AquaCrop model. The pilot area was in Campania, a region in the south west of Italy, characterized by a typical Mediterranean climate, where field campaigns were conducted in seasons 2017 and 2018 on processing tomato. Crop water use and irrigation requirement were estimated by means of three different methods: (i) The AquaCrop model; (ii) an irrigation advisory service based on Sentinel-2 imagery known as IRRISAT and (iii) assimilating the canopy cover estimated by Sentinel-2 imagery into AquaCrop model Sentinel-2 imagery proved to be effective for monitoring canopy growth and for predicting irrigation water requirements during mid-season stage of the crop, when the canopy is fully developed. Conversely, the integration of the Sentinel-2 imagery with a crop growth model can contribute to improve the irrigation water requirement predictions in the early and development stage of the crop, when the soil evaporation is not negligible with respect to the total evapotranspiration.

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