Evaluating Yield Response of Paddy Rice to Irrigation and Soil Management with Application of the AquaCrop Model

2012 ◽  
Vol 55 (3) ◽  
pp. 839-848 ◽  
Author(s):  
L. Lin ◽  
B. Zhang ◽  
L. Xiong
Keyword(s):  
Soil Management ◽  
Paddy Rice ◽  
Yield Response ◽  
Aquacrop Model

scholarly journals An Economic-Based Evaluation of Maize Production under Deficit and Supplemental Irrigation for Smallholder Farmers in Northern Togo, West Africa

Resources ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 175
Author(s):  
Agossou Gadedjisso-Tossou ◽  
Tamara Avellán ◽  
Niels Schütze
Keyword(s):  
West Africa ◽  
Smallholder Farmers ◽  
Irrigation Management ◽  
Management Strategies ◽  
Irrigation Scheduling ◽  
Yield Response ◽  
Exceedance Probability ◽  
World Population ◽  
Supplemental Irrigation ◽  
Aquacrop Model

While the world population is expected to reach 9 billion in 2050, in West Africa, it will more than double. This situation will lead to a high demand for cereals in the region. At the same time, farmers are experiencing yield losses due to erratic rainfall. To come up with a sound and effective solution, the available but limited water should be used to achieve high yields through irrigation. Therefore, full and deficit irrigation management strategies were evaluated. The expected profit that can be obtained by a smallholder farmer under a conventional irrigation system in the short-term of investment was also assessed considering rope and bucket, treadle pump, and motorized pump water-lifting methods. The study focused on maize in northern Togo. The framework used in this study consisted of (i) a weather generator for simulating long-term climate time series; (ii) the AquaCrop model, which was used to simulate crop yield response to water; and (iii) a problem-specific algorithm for optimal irrigation scheduling with limited water supply. Results showed high variability in rainfall during the wet season leading to significant variability in the expected yield under rainfed conditions. This variability was substantially reduced when supplemental irrigation was applied. This holds for the irrigation management strategies evaluated in the dry season. Farmers’expected net incomes were US$ 133.35 and 78.11 per hectare for treadle pump and rope and bucket methods, respectively, under 10% exceedance probability. The motorized pump method is not appropriate for smallholder farmers in the short run.

CALIBRATION AND VALIDATION OF FAO-AQUACROP MODEL FOR IRRIGATED AND WATER DEFICIENT BAMBARA GROUNDNUT

2011 ◽  
Vol 47 (3) ◽  
pp. 509-527 ◽  
Author(s):  
A. S. KARUNARATNE ◽  
S. N. AZAM-ALI ◽  
G. IZZI ◽  
P. STEDUTO
Keyword(s):  
Field Experiments ◽  
Water Productivity ◽  
Canopy Cover ◽  
Research Unit ◽  
Bambara Groundnut ◽  
Women Farmers ◽  
Sub Saharan Africa ◽  
Yield Response ◽  
Grain Legume ◽  
Aquacrop Model

SUMMARYSimulation of yield response to water plays an increasingly important role in optimization of crop water productivity (WP) especially in prevalent drought in Africa. The present study is focused on a representative crop: bambara groundnut (Vigna subterranea), an ancient grain legume grown, cooked, processed and traded mainly by subsistence women farmers in sub-Saharan Africa. Over four years (2002, 2006–2008), glasshouse experiments were conducted at the Tropical Crops Research Unit, University of Nottingham, UK under controlled environments with different landraces, temperatures (23 ± 5 °C, 28 ± 5 °C, 33 ± 5 °C) and soil moisture regimes (irrigated, early drought, late drought). Parallel to this, field experiments were conducted in Swaziland (2002/2003) and Botswana (2007/2008). Crop measurements of canopy cover (CC), biomass (B) and pod yield (Y) of selected experiments from glasshouse (2006 and 2007) and field (Botswana) were used to calibrate the FAO AquaCrop model. Subsequently, the model was validated against independent data sets from glasshouse (2002 and 2008) and field (Swaziland) for different landraces. AquaCrop simulations for CC, B and Y of different bambara groundnut landraces are in good agreement with observed data with R2 (CC-0.88; B-0.78; Y-0.72), but with significant underestimation for some landraces.

scholarly journals Performance of the AquaCrop model for the wheat crop in the subtropical zone in Southern Brazil

2020 ◽  
Vol 55 ◽  
Author(s):  
Stefanie Lais Kreutz Rosa ◽  
Jorge Luiz Moretti de Souza ◽  
Rodrigo Yoiti Tsukahara
Keyword(s):  
Linear Regression Analysis ◽  
Soil Management ◽  
Wheat Crop ◽  
Southern Brazil ◽  
Simple Linear Regression ◽  
Potential Yield ◽  
Subtropical Zone ◽  
Aquacrop Model ◽  
Index Of Agreement ◽  
Yield Penalty

Abstract: The objective of this work was to calibrate and validate the AquaCrop model for the wheat (Triticum aestivum) crop in the Campos Gerais region, in Southern Brazil. Five cultivars were evaluated in the harvests from 2007 to 2017. The input data for AquaCrop - related to climate, crop, soil, and soil management -, collected in the field, were obtained from the database of Fundação ABC and from the literature. From 35 to 43% of total harvests were selected for calibration, and the remaining, for validation. Calibration was performed for the parameters most sensitive to crop potential yield penalty. The simulated yields were compared with those observed in the field through simple linear regression analysis, root mean square error (RMSE), Pearson’s correlation coefficient (r), the index of agreement (d), and the performance index (c). Calibration showed good results (RMSE ≤ 609.78 kg ha-1; r ≥ 0.72; d ≥ 0.80) for all assessed cultivars and locations, but validation did not have the same performance (c ≤ 0.46). The attempted adjustment, considering the range of calibrated parameters in the harvests, indicated “very good” and “excellent” performances (Supera and Quartzo, respectively) for the cultivars in Castro and “tolerable” to “excellent” in Ponta Grossa.

scholarly journals Effect of different soil moisture regimes on plant growth and water use efficiency of Sunflower: experimental study and modeling

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
Rajesh Kumar Soothar ◽  
Ashutus Singha ◽  
Shakeel Ahmed Soomro ◽  
Azhar-u-ddin Chachar ◽  
Faiza Kalhoro ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Grain Yield ◽  
Water Use Efficiency ◽  
Water Use ◽  
Crop Yield ◽  
Growth And Yield ◽  
Irrigated Agriculture ◽  
Yield Response ◽  
Aquacrop Model ◽  
Use Efficiency

Abstract Background Climate change and increasing demand in non-agricultural sectors profoundly affect the availability and quality of water resources for irrigated agriculture. The FAO AquaCrop simulation model provides a sound theoretical framework to investigate crop yield response to environmental stress. This model has successfully simulated crop growth and yield as influenced by varying soil moisture environments for crops. Integrating crop models that simulate the effects of water on crop yield with targeted experimentation can facilitate the development of irrigation strategies for high yield procurement and improving farm level water management and water use efficiency (WUE) under climatic condition of District Hyderabad, Sindh, Pakistan. Results This study was based on completely randomized block design with three treatments including T1 (30% soil moisture depletion), T2 (50% soil moisture depletion) and T3 (70% soil moisture depletion) with three replicates. In order to determine the crop water requirements under desired treatments, the gypsum blocks were used for computing the daily soil moisture depletion. The result shows that total volume of water applied to crop under T1, T2 and T3 was 9689, 5200 and 2045 m3 ha−1, respectively. As a result, the grain yield under T1, T2 and T3 was 13.2, 12.1 and 14.3 t ha−1, respectively. These results advocate that total yield of crop under T1 and T2 was less as compared to T3. The T3 gave higher yield and WUE compared than other treatments. On the other hand, results revealed that the simulated sunflower yields showed a good agreement with their measured under T3. The simulated grain yield was 15.5 t ha−1, while the measured yield varied from 12.1 to 14.3 t ha−1. This study suggested that WUE under T3 was more as compared to T1 and T2. The results showed that the T3 gave the highest crop yield in relation to WUE and optimize yield of sunflower crop under water scarcity. Conclusion The Aquacrop model could very well predict crop yield and WUE at T3 under experiential region for sunflower production.

Sign in / Sign up

Export Citation Format

Share Document