Modeling the potential for closing quinoa yield gaps under varying water availability in the Bolivian Altiplano

Geerts, Sam; Raes, Dirk; Garcia, Magalı́; Taboada, Cristal; Miranda, Roberto; Cusicanqui, Jorge; Mhizha, Teddious; Vacher, Jean

doi:10.1016/j.agwat.2009.06.020

Cited by 62 publications

(37 citation statements)

References 36 publications

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“…Moreover, it is important to point out that fluctuation of expected quinoa yield between rainfed and def icit irrigation might be up to three times greater for a similar ETa, that is the result of the timing of the water application under deficit irrigation, which is applied during flowering and early grain filling phase, compared to rainfed conditions that cannot be controlled, which is a competitive advantage of this technology for stabilize quinoa yield. Quinoa yield for the Southern Bolivian Altiplano under rainfed and different irrigation strategies reported by several authors varied from 0.3 to 2.1 ton ha -1 (Aguilar & Jacobsen, 2003;Bosque et al, 2003;García et al, 2003;Geerts et al, 2008bGeerts et al, , 2009a. These confirm the results found in the present study where quinoa yield was well simulated by the AquaCrop model.…”

Section: Discussionsupporting

confidence: 82%

“…those found by Hexem & Heady (1978), Taylor et al (1983), DeTar (2008 and Geerts et al (2009a). Moreover, it is important to point out that fluctuation of expected quinoa yield between rainfed and def icit irrigation might be up to three times greater for a similar ETa, that is the result of the timing of the water application under deficit irrigation, which is applied during flowering and early grain filling phase, compared to rainfed conditions that cannot be controlled, which is a competitive advantage of this technology for stabilize quinoa yield.…”

Section: Discussionsupporting

confidence: 75%

“…The rainfall analysis showed that in despite of the fact that we worked with longer climate-data records (27 years), results of rainfall analysis were similar to those reported by Geerts et al (2009a) who defined a dry year as one with a rainfall smaller than 207 mm and a wet year as one with a rainfall larger than 377 mm for seasonal rainfall. However, with the object of reflect in a more accurate way the dryness of the area, which is a characteristic aspect of the arid and semi-arid regions; we generated four different climate groups (wet, normal, dry and very dry year) classified by the amount of seasonal rainfall.…”

Section: Discussionsupporting

confidence: 61%

“…Geerts et al (2009a) working with quinoa, and Rodrigues & Pereira (2009) working with maize, sunflower and wheat, found that water productivity and economic water productivity are highly dependent on climate conditions. Also, Playán & Mateos (2006) reported higher water productivity for cotton with def icit irrigation than with full irrigation.…”

Section: Discussionmentioning

confidence: 99%

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Economic assessment at farm level of the implementation of deficit irrigation for quinoa production in the Southern Bolivian Altiplano

Cusicanqui

Dillen

Garcia

et al. 2013

Span. j. agric. res.

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In the Southern Bolivian Altiplano recent research has suggested to introduce deficit irrigation as a strategy to boost quinoa yields and to stabilize it at 2.0 ton ha-1. In this study we carried out an economic assessment of the implementation of deficit irrigation at farm level using a hydro-economic model for simulating profit for quinoa production. As input of the model we worked with previously developed farms typology (livestock, quinoa and subsistence farms), simulated quinoa production with and without irrigation using AquaCrop model, and calculated yield response functions for four different climate scenarios (wet, normal, dry and very dry years). Results from the hydro-economic model demonstrate that maximum profit is achieved with less applied irrigated water than for maximum yield, and irrigated quinoa earned more profit than rainfed production for all farms types and climate scenarios. As expected, the benefits of irrigation under dry and very dry climate conditions were higher than those under normal and wet years, and benefits among farms types were higher for quinoa farms. In fact, profit of irrigated quinoa might be stabilized at around BOB 6500 ha-1 (about USD 920) compared with the huge differences found for rainfed conditions for all climate scenarios. Interestingly, the economic water productivity, expressed in terms of economic return for amount of applied irrigated water (BOB mm-1), reached the highest values with intermediate and low level of water availability schemes of deficit irrigation for all climate scenarios.

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Section: Discussionsupporting

confidence: 82%

Section: Discussionsupporting

confidence: 75%

Section: Discussionsupporting

confidence: 61%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Economic assessment at farm level of the implementation of deficit irrigation for quinoa production in the Southern Bolivian Altiplano

Cusicanqui

Dillen

Garcia

et al. 2013

Span. j. agric. res.

Self Cite

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“…The global applicability of AquaCrop is dependent on its being tested in a diverse environment under differing soil conditions, crops, agronomic practices, and climatic conditions [32,33] . For example, the calibration and evaluation of the performance of AquaCrop has been carried out for quinoa [34] , wheat [35][36][37][38][39] , sorghum [40] , maize [28,[41][42][43][44][45][46] , potato [32,47] , and cabbage [48,49] . Previous studies have demonstrated that AquaCrop is able to accurately simulate crop canopy cover, biomass yield and grain yield in diverse environments and under a variety of meteorological conditions and management practices.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of yield and soil water balance for summer maize on the piedmont of the North China Plain using AquaCrop

Wang¹,

Huang²,

Li³

2015

Front. Agr. Sci. Eng.

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The North China Plain (NCP) is a major grain production area in China, but the current winter wheatsummer maize system has resulted in a large water deficit. This water-shortage necessitates the improvement of crop water productivity in the NCP. A crop water model, AquaCrop, was adopted to investigate yield and water productivity (WP) for rain-fed summer maize on the piedmont of the NCP. The data sets to calibrate and validate the model were obtained from a 3-year (2011-2013) field experiment conducted on the Yanshan piedmont of the NCP. The range of root mean square error (RMSE) between the simulated and measured biomass was 0.67-1.25 t$hm -2 , and that of relative error (RE) was 9.4%-15.4%, the coefficient of determination (R 2 ) ranged from 0.992 to 0.994. The RMSE between the simulated and measured soil water storage at depth of 0-100 cm ranged from 4.09 to 4.39 mm; and RE and R 2 in the range of 1.07%-1.20% and 0.880-0.997, respectively. The WP as measured by crop yield per unit evapotranspiration was 2.50-2.66 kg$m . The simulated impact of long-term climate (i.e., 1980-2010) and groundwater depth on crop yield and WP revealed that the higher yield and WP could be obtained in dry years in areas with capillary recharge from groundwater, and much lower values elsewhere. The simulation also suggested that supplementary irrigation in areas without capillary groundwater would not result in groundwater over-tapping since the precipitation can meet the water required by both maize and ecosystem, thus a beneficial outcome for both food and ecosystem security can be assured.

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Modeling irrigation behavior in groundwater systems

Foster

Brozović

Butler

2014

Water Resources Research

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Integrated hydro-economic models have been widely applied to water management problems in regions of intensive groundwater-fed irrigation. However, policy interpretations may be limited as most existing models do not explicitly consider two important aspects of observed irrigation decision making, namely the limits on instantaneous irrigation rates imposed by well yield and the intraseasonal structure of irrigation planning. We develop a new modeling approach for determining irrigation demand that is based on observed farmer behavior and captures the impacts on production and water use of both well yield and climate. Through a case study of irrigated corn production in the Texas High Plains region of the United States we predict optimal irrigation strategies under variable levels of groundwater supply, and assess the limits of existing models for predicting land and groundwater use decisions by farmers. Our results show that irrigation behavior exhibits complex nonlinear responses to changes in groundwater availability. Declining well yields induce large reductions in the optimal size of irrigated area and irrigation use as constraints on instantaneous application rates limit the ability to maintain sufficient soil moisture to avoid negative impacts on crop yield. We demonstrate that this important behavioral response to limited groundwater availability is not captured by existing modeling approaches, which therefore may be unreliable predictors of irrigation demand, agricultural profitability, and resilience to climate change and aquifer depletion.

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Modeling the potential for closing quinoa yield gaps under varying water availability in the Bolivian Altiplano

Cited by 62 publications

References 36 publications

Economic assessment at farm level of the implementation of deficit irrigation for quinoa production in the Southern Bolivian Altiplano

Economic assessment at farm level of the implementation of deficit irrigation for quinoa production in the Southern Bolivian Altiplano

Quantitative analysis of yield and soil water balance for summer maize on the piedmont of the North China Plain using AquaCrop

Modeling irrigation behavior in groundwater systems

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