Aquacrop Model Calibration in Potato and Its Use to Estimate Yield Variability under Field Conditions

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Atmospheric and Climate Sciences

ISSN Print: 2160-0414
ISSN Online: 2160-0422
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"Aquacrop Model Calibration in Potato and Its Use to Estimate Yield Variability under Field Conditions"
written by Antonio de la Casa, Gustavo Ovando, Luciano Bressanini, Jorge Martínez,
published by Atmospheric and Climate Sciences, Vol.3 No.3, 2013

has been cited by the following article(s):

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[1]	Evaluating the Performance of AquaCrop Model for Potato Production Under Deficit Irrigation
	Air, Soil and Water Research, 2022

[2]	Modeling of Different Irrigation Methods for Maize Using AquaCrop Model: Case Study: Modeling of Different Irrigation Methods for Maize Using AquaCrop Model …
	Ansari… - Engineering, 2021

[3]	Data collection design for calibration of crop models using practical identifiability analysis
	… and Electronics in …, 2021

[4]	AquaCrop model calibration and validation for chickpea (Cicer arietinum) in Southern Africa.
	2021

[5]	Calibration and validation of the AquaCrop model for the culture lettuce (Lactuca sativa L.) under fertilization levels in pluvial condition.
	2021

[6]	Evaluation of Yield Changes and Length of Dryland Wheat Phenological Stages under RCP Scenario Using DSSAT and AquaCrop Models in Western …
	Iranian Journal of Soil …, 2021

[7]	Rural Development Institute
	2021

[8]	The Negative Effect of Some Factors on Potato Yield in Mountain Areas and Ways to Prevent Them
	Russian Agricultural Sciences, 2021

[9]	Application and evaluation of aquacrop, dssat and simple model in modelling yield water use of selected underutilised cereal crops.
	2021

[10]	Yield and water use efficiency of potato cultivars in autumn and spring cultivations of moderate and cold regions.
	EurAsian Journal of …, 2020

[11]	Yield and water use efficiency of potato cultivars in autumn and spring cultivations of moderate and cold regions
	2020

[12]	Crop Simulation Models as Decision-Supporting Tools for Sustainable Potato Production: a Review
	2020

[13]	Calibration and validation of FAO-AquaCrop model to estimate the total biomass and yacon root yield
	2020

[14]	Irrigation Water Management for Wheat Using Aquacrop Model
	Journal of Soil Sciences and Agricultural Engineering, 2020

[15]	Simulating the Production of Rice Genotypes by Flood Management and End-Season Water Stress Conditions Using AquaCrop Model
	2020

[16]	Calibración, validación y utilización del modelo AquaCrop para el cultivo de la chufa (Cyperus esculentus L. var. sativus Boeck.) en Valencia.
	2020

[17]	Desempenho do modelo AquaCrop/FAO® para cultivo do milho em Alagoas.
	2019

[18]	Assessing irrigation water saving for crop production in Cambodia based on combined in situ and modelling approaches
	2019

[19]	Spatio-temporal characterization of Agricultural Drought using Soil Moisture Deficit Index (SMDI) in the Upper Tana River basin, Kenya
	2019

[20]	Spatio-Temporal Drought Characterization and Forecasting Using Indices and Artificial Neural Networks. A Case of the Upper Tana River Basin, Kenya
	2019

[21]	Simulation of Crop Growth and Water-Saving Irrigation Scenarios for Lettuce: A Monsoon-Climate Case Study in Kampong Chhnang, Cambodia
	Water, 2018

[22]	Forecasting Transplanted Rice Yield at the Farm Scale Using Moderate-Resolution Satellite Imagery and the AquaCrop Model: A Case Study of a Rice Seed …
	ISPRS International Journal of Geo-Information, 2018

[23]	Improving Irrigation Scheduling of Wheat to Increase Water Productivity in Shallow Groundwater Conditions Using Aquacrop
	Irrigation and Drainage, 2018

[24]	Evaluation of DSSAT model for potential yield prediction of potato under autumn cropping system (Case study: Jiroft, Iran)
	2018

[25]	Comparison between AquaCrop and radiation-thermal production potential models for potential yield estimation in part of Moghan plain, Ardabil Province, Iran
	2017

[26]	A Comparison between AquaCrop and Radiation-Thermal Production Potential Models for Potential Yield Estimation in Part of Moghan Plain, Ardabil Province, Iran
	2017

[27]	Application of the FAO model AquaCrop for estimating crop yield under conditions of soil water deficit stress in the Cambodian lowlands
	2017

[28]	Global sensitivity analysis of the AquaCrop model for winter wheat under different water treatments based on the extended Fourier amplitude sensitivity test
	Journal of Integrative Agriculture, 2017

[29]	مقایسه مدل AquaCrop و مدل پتانسیل حرارتی-تابشی تولید در برآورد عملکرد پتانسیل در بخشی از اراضی دشت مغان در استان اردبیل‎
	2017

[30]	Simulation of potato yield in temperate condition by the AquaCrop model
	Agricultural Water Management, 2017

[31]	基于 EFAST 方法的不同水分处理下冬小麦 AquaCrop 模型参数全局敏感性分析
	2017

[32]	Drought assessment and forecasting using indice and artificial neural networks for the upper Tana River basin, Kenya
	2016

[33]	Empleo del NDVI de una camara digital modificada para estimar la cobertura del cultivo de papa bajo distintas condiciones de fertilización nitrogenada
	2016

[34]	基于 AquaCrop 模型的北京地区冬小麦水分利用效率
	2016

[35]	Performance assessment of AquaCrop model for estimating evapotranspiration, soil water content and grain yield of winter wheat in Tensift Al Haouz (Morocco): Application to irrigation management
	Agricultural Water Management, 2016

[36]	Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato
	Agricultural Water Management, 2016

[37]	Assessment of FAO AquaCrop Model for Simulating Maize Growth and Productivity under Deficit Irrigation in a Tropical Environment
	Water, 2016

[38]	Performance evaluation of AquaCrop model for irrigated field maize in south-eastern Albania
	2015

[39]	Estimación del rendimiento potencial de papa en Córdoba, Argentina, a partir de la eficiencia en el uso de la radiación y de la productividad del agua
	AGRISCIENTIA, 2014

[1]	Shallot growth and yield supported by irrigation and nitrogen application in utilizing dry land area in Mesuji, Lampung Province, Indonesia SAINS TANAH - Journal of Soil Science and Agroclimatology, 2023 DOI:10.20961/stjssa.v20i1.70711

[2]	Methodological evolution of potato yield prediction: a comprehensive review Frontiers in Plant Science, 2023 DOI:10.3389/fpls.2023.1214006

[3]	Evaluating the Performance of AquaCrop Model for Potato Production Under Deficit Irrigation Air, Soil and Water Research, 2022 DOI:10.1177/11786221221108216

[4]	Crop Simulation Models as Decision-Supporting Tools for Sustainable Potato Production: a Review Potato Research, 2021 DOI:10.1007/s11540-020-09483-9

[5]	AquaCrop model calibration and validation for chickpea (Cicer arietinum) in Southern Africa. Cogent Food & Agriculture, 2021 DOI:10.1080/23311932.2021.1898135

[6]	Simulating the Production of Rice Genotypes by Flood Management and End-Season Water Stress Conditions Using AquaCrop Model Communications in Soil Science and Plant Analysis, 2020 DOI:10.1080/00103624.2020.1813750

[7]	Forecasting Transplanted Rice Yield at the Farm Scale Using Moderate-Resolution Satellite Imagery and the AquaCrop Model: A Case Study of a Rice Seed Production Community in Thailand ISPRS International Journal of Geo-Information, 2018 DOI:10.3390/ijgi7020073

[8]	Simulation of Crop Growth and Water-Saving Irrigation Scenarios for Lettuce: A Monsoon-Climate Case Study in Kampong Chhnang, Cambodia Water, 2018 DOI:10.3390/w10050666

[9]	Improving Irrigation Scheduling of Wheat to Increase Water Productivity in Shallow Groundwater Conditions Using Aquacrop Irrigation and Drainage, 2018 DOI:10.1002/ird.2288

[10]	Improving Irrigation Scheduling of Wheat to Increase Water Productivity in Shallow Groundwater Conditions Using Aquacrop Irrigation and Drainage, 2018 DOI:10.1002/ird.2288

[11]	Global sensitivity analysis of the AquaCrop model for winter wheat under different water treatments based on the extended Fourier amplitude sensitivity test Journal of Integrative Agriculture, 2017 DOI:10.1016/S2095-3119(16)61626-X

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