Evaluating deficit irrigation management strategies for grain sorghum using AquaCrop

Araya, A.; Kisekka, Isaya; Holman, Johnathon D.

doi:10.1007/s00271-016-0515-7

Cited by 45 publications

(48 citation statements)

References 30 publications

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“…Because the AquaCrop model is water-driven, many of its applications have been related to irrigation management, including the evaluation of responses to deficit irrigation. A number of reports have been published recently on that subject for maize (Ahmadi et al, 2015), sorghum (Araya et al, 2016), winter wheat (Xiangxiang et al, 2013), potato (Montoya et al, 2016), and soybean (Adeboye et al, 2017). Beyond the plot scale, AquaCrop has been used for economic optimization at the farm scale (García-Vila and Fereres, 2012), for yield gap analyses (Nyakudya and Stroosnijder, 2014;Angella et al, 2016), and for yield prediction in climate change scenarios (Vanuytrecht et al, 2016;Yang et al, 2017).…”

mentioning

confidence: 99%

Simulation of the Responses of Dry Beans (Phaseolus vulgaris L.) to Irrigation

Espadafor¹,

Couto²,

Resende³

et al. 2017

Transactions of the ASABE

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confidence: 99%

Simulation of the Responses of Dry Beans (Phaseolus vulgaris L.) to Irrigation

Espadafor¹,

Couto²,

Resende³

et al. 2017

Transactions of the ASABE

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“…; Araya et al. ). This can be achieved by studying water production functions (Barrett and Skogerboe ).…”

Section: Introductionmentioning

confidence: 96%

Simulating Soil Water Content, Evapotranspiration, and Yield of Variably Irrigated Grain Sorghum Using AquaCrop

Masasi

Taghvaeian

Gowda

et al. 2019

J American Water Resour Assoc

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Use of models to simulate crop production has become important in optimizing irrigation management in arid and semiarid regions. However, applicability and performance of these models differ across regions, due to differences in environmental and management factors. The AquaCrop model was used to simulate soil water content (SWC), evapotranspiration (ET), and yield for grain sorghum under different irrigation regimes and dryland conditions at two sites in Central and Southern High Plains. Prediction error (Pe), estimated as the difference between simulated and measured divided by measured, for SWC ranged from −17% to 4% in fully irrigated, −3% to −10% in limited irrigated, and −16% to 25% in dryland treatments. The Pe within ±4%, −5%, and −17% to 24% were attained for seasonal ET under fully irrigated, limited irrigated, and dryland conditions, respectively. Pe values for grain yield were within those previously reported and ranged from −10% to 12%, −12% to 7%, and 9% to 17% for fully irrigated, limited irrigated and dryland conditions, respectively. Overall performance of the AquaCrop model showed it could be used as an effective tool for evaluating the impacts of variable crop and irrigation managements on the production of grain sorghum in the study area. Finally, the application of the model in the study area revealed planting date has a significant impact on sorghum yield and irrigation requirements, but the impact of planting density was negligible. Editor's note: This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.

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“…IC refers to an irrigation system design, limited by flow/pumping rate, that allows the application of a certain irrigation depth consistently and uniformly at any given time. Once calibrated, cropping system models are well proven to be suitable to evaluate crop performance under various irrigation water management strategies (Klocke et al 2006;Araya et al 2016;Kisekka et al 2016) and ICs (Araya et al 2018). In western Kansas, decisions to grow crops depend mainly on profitability, yield, and IC (Klocke et al 2006).…”

Section: Introductionmentioning

confidence: 99%

Yield and Water Productivity of Winter Wheat under Various Irrigation Capacities

Araya

Prasad

Gowda

et al. 2019

J American Water Resour Assoc

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The Agricultural Production Systems sIMulator model validated in a prior study for winter wheat was used to simulate yield, aboveground crop biomass (BM), transpiration (T), and evapotranspiration under four irrigation capacities (ICs) (0, 1.7, 2.5, and 5 mm/day) with two nitrogen (N) application rates (N1, 94 kg N/ha; N2, 160 kg N/ha) to (1) understand the performance of winter wheat under different ICs and (2) develop crop water production function under various ICs and N rates. Evaluation was based on yield, aboveground crop BM, transpiration productivity (TP), crop water productivity (WP), and irrigation WP (IWP). Simulation results showed winter wheat yield increased with increase in N application rate and IC. However, the rate of yield increase gradually reduced with additional irrigation beyond 2.5 mm/day. A 5 mm/day IC required a total of 190 mm irrigation and produced a 5%–16% yield advantage over 2.5 mm/day. This indicates it is possible to reduce groundwater use for wheat by 50% incurring only 5%–16% yield loss relative to 5 mm/day. The TP and IWP for grain were slightly higher under IC of 1.7 mm/day (15.2–16.1 kg/ha/mm and 0.98–1.6 kg/m3) when compared to 5 mm/day (14.7–15.5 kg/ha/mm and 0.6–1.06 kg/m3), respectively. Since TP and IWPs are relatively higher under lower ICs, winter wheat could be a suitable crop under lower ICs in the region. Relationship between yield–T and yield–ET was linear with a slope of 15–16 and 9.5–10 kg/ha/mm, respectively. Editor's note: This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.

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Evaluating deficit irrigation management strategies for grain sorghum using AquaCrop

Cited by 45 publications

References 30 publications

Simulation of the Responses of Dry Beans (Phaseolus vulgaris L.) to Irrigation

Simulation of the Responses of Dry Beans (Phaseolus vulgaris L.) to Irrigation

Simulating Soil Water Content, Evapotranspiration, and Yield of Variably Irrigated Grain Sorghum Using AquaCrop

Yield and Water Productivity of Winter Wheat under Various Irrigation Capacities

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