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Assessing potato transpiration, yield and water productivity under various water regimes and planting dates using the FAO dual Kc approach

Published on Jan 1, 2018in Agricultural Water Management 3.18
· DOI :10.1016/j.agwat.2017.09.011
Paula Paredes18
Estimated H-index: 18
(Instituto Superior de Agronomia),
Daniela D’Agostino3
Estimated H-index: 3
+ 2 AuthorsLuis S. Pereira51
Estimated H-index: 51
(Instituto Superior de Agronomia)
Abstract
Abstract Two years of experimental field data on potato (var. Spunta) were used to calibrate and validate the SIMDualKc model. This model adopts the FAO dual K c approach that provides the partition of crop evapotranspiration into crop transpiration and soil evaporation. Results of model calibration show a good agreement between soil water observations and predictions, with low errors of estimate – RMSE 0.87). The calibrated basal crop coefficients for the initial stage, mid-season and end of season are 0.15, 1.10 and 0.35, respectively. After model calibration, the crop transpiration simulations were used to derive the yield response factor (K y  = 1.09). Coupling SIMDualKc with the Stewart’s model provided for a good prediction of yields, with NRMSE lower than 8%. Irrigation scheduling scenarios were simulated with SIMDualKc model for various planting dates and limited stress conditions. Related results have shown that anticipating planting dates to the second half of February could lead to less irrigation requirements, higher yields and better water productivity relative to consumptive water use (WP ET ), crop transpiration (WP T ) and seasonal water use (WP WU ). These WP indicators were useful comparators. Contrarily, the WP relative to season irrigation depths (WP Irrig ) showed a great variation among scenarios and a tendency to be higher when deficit irrigation was applied, which contradicts the objectives of farmers in terms of obtaining high yields and economic returns. The model and methodologies used were adequate to support irrigation management advising for farmers.
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  • Citations (5)
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References56
Newest
Published on Jun 1, 2017in Water 2.07
Luis Giménez2
Estimated H-index: 2
,
Paula Paredes18
Estimated H-index: 18
,
Luis S. Pereira51
Estimated H-index: 51
Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter combined with the Stewart’s yield model. SIMDualKc applies the FAO56 dual crop coefficient approach for computing and partitioning evapotranspiration (ET) into actual crop transpiration (Tc act) and soil evaporation (Es), while AquaCrop uses an appro...
9 Citations Source Cite
Published on Feb 1, 2017in Field Crops Research 3.13
Rubi Raymundo6
Estimated H-index: 6
(University of Florida),
Senthold Asseng42
Estimated H-index: 42
(University of Florida)
+ 15 AuthorsQiaoxue Dong1
Estimated H-index: 1
(China Agricultural University)
Crop models are essential tools in climate change impact assessments, but they often lack comprehensive field testing. In this study, we tested the SUBSTOR-potato model with 87 field experiments, including 204 treatments from 19 countries. The field experiments varied in potato species and cultivars, N fertilizer application, water supply, sowing dates, soil types, temperature environments, and atmospheric CO2 concentrations, and included open top chamber and Free-Air-CO2-Enrichment (FACE) exper...
11 Citations Source Cite
Published on Jan 1, 2017in Agricultural Water Management 3.18
Paula Paredes18
Estimated H-index: 18
(Instituto Superior de Agronomia),
Gonçalo C. Rodrigues10
Estimated H-index: 10
(Instituto Superior de Agronomia)
+ 2 AuthorsLuis S. Pereira51
Estimated H-index: 51
(Instituto Superior de Agronomia)
The previously field calibrated approach of coupling the SIMDualKc soil water balance model with the Stewart’s water-yield model was used to assess the impacts of alternative sowing dates and irrigation schedules upon malting barley (Hordeum vulgare L. cv. Publican) yields. To properly support modelling, the study was based upon field observations in a farmers’ field during 2012 and 2013 crop seasons, respectively a dry and a wet year. The study aimed at assessing alternative sowing dates and ir...
9 Citations Source Cite
Published on Jul 22, 2016in Water 2.07
Luis Giménez2
Estimated H-index: 2
,
Mario García Petillo1
Estimated H-index: 1
+ 1 AuthorsLuis S. Pereira51
Estimated H-index: 51
(University of Lisbon)
Various maize irrigation treatments including full and deficit irrigation were used to calibrate and validate the soil water balance and irrigation scheduling model SIMDualKc at Paysandu, western Uruguay. The model adopts the dual crop coefficient approach to partition actual evapotranspiration (ETc act) into actual transpiration (Tc act) and soil evaporation (Es). Low errors of estimation were obtained for simulating soil water content (Root mean square errors (RMSE) ≤ 0.014 cm3·cm−3 with calib...
9 Citations Source Cite
Published on Jun 1, 2016in Agricultural Water Management 3.18
Prem Woli3
Estimated H-index: 3
(Washington State University),
Gerrit Hoogenboom52
Estimated H-index: 52
(Washington State University),
A. K. Alva34
Estimated H-index: 34
(Agricultural Research Service)
The Columbia Basin in the Pacific Northwest is a highly productive area for potatoes in the United States. Here, nitrate is the most frequently documented groundwater contaminant, and the challenge of maximizing crop productivity while minimizing the nitrate pollution still remains. This study assessed the responses of tuber yield, nitrate leaching, and profit margin to irrigation water amount, irrigation interval, nitrogen application rate, and soil type using 30 years of historical weather dat...
15 Citations Source Cite
Published on Dec 1, 2015in American Journal of Potato Research 1.16
Alexander D. Pavlista11
Estimated H-index: 11
(University of Nebraska–Lincoln)
Droughts are common in the US High Plains, causing declining water availability and lowering water allocations. The objective of this 4-year field study was to identify a period of water deficit least detrimental to potato production. Fully irrigated ‘Atlantic’ potato received 62–63 cm of applied water. Total applied water was reduced by 25 % in three seasonal periods, 50 % water from emergence to 8 weeks after emergence (WAE) (early stress), 50 % water from 8 to 13 WAE (late stress), and 50 % f...
6 Citations Source Cite
Published on Sep 1, 2015in Agricultural Water Management 3.18
Luis S. Pereira51
Estimated H-index: 51
,
Paula Paredes18
Estimated H-index: 18
+ 1 AuthorsM. Manuela Neves5
Estimated H-index: 5
(University of Lisbon)
Two contrasting rainfall barley seasons, dry (2012) and wet (2013), were used to parameterize and assess the performance of the SIMDualKc and AquaCrop models. Field data were obtained from malt barley cropped in a farmer’s field in Ribatejo, Portugal. SIMDualKc applies the dual crop coefficient approach for computing and partitioning crop evapotranspiration (ET), while AquaCrop uses an empirical approach to estimate potential crop transpiration (Tc) and soil evaporation (Es) depending upon the c...
33 Citations Source Cite
Published on Mar 1, 2015in Agricultural Water Management 3.18
D. C. Camargo2
Estimated H-index: 2
(Canadian Real Estate Association),
F. Montoya2
Estimated H-index: 2
(Canadian Real Estate Association)
+ 1 AuthorsJ. F. Ortega5
Estimated H-index: 5
(University of Castilla–La Mancha)
We analyze the effects of four irrigation treatments on the growth and development of potatoes (Solanum tuberosum L.) cv Agria, using a pivot irrigation system in the province of Albacete (Castilla-La Mancha, Spain), during 2011 and 2012. We find no significant differences between irrigation treatments regarding when the phenological phases are reached. The high day and night temperatures that occurred during the second season contributed to the lengthening of the agronomic cycle. We observed ma...
7 Citations Source Cite
Published on Feb 1, 2015in Journal of Integrative Agriculture 1.04
Chunling Wang3
Estimated H-index: 3
(China Meteorological Administration),
Shuanghe Shen2
Estimated H-index: 2
+ 2 AuthorsYu-bi Yao1
Estimated H-index: 1
(China Meteorological Administration)
Potato grows in most part of China, it achieves higher yield and better quality in Gansu Province than in others. With global warming, its growth duration has been prolonged and sowing date become earlier than before. Therefore, to regulate its sowing date and growing period is of great significance for better harvest. In this study, experiments were conducted with six sowing-date treatments of potato in Dingxi, which is in the Loess Plateau of central Gansu Province in Northwest China in 2010. ...
7 Citations Source Cite
Published on Jan 1, 2015in Agricultural Water Management 3.18
Zheng Wei1
Estimated H-index: 1
,
Paula Paredes18
Estimated H-index: 18
(University of Lisbon)
+ 2 AuthorsLuis S. Pereira51
Estimated H-index: 51
(University of Lisbon)
The main objectives of this study were to assess and partition soybean evapotranspiration and modelling to predict yields. The SIMDualKc water balance model, that adopts the dual crop coefficient approach, was used to evaluate the transpiration and soil evaporation components. Transpiration estimates were then used with the Stewart's water-yield model to predict soybean yields. SIMDualKc was calibrated and validated using soil water observations relative to four crop seasons and six treatments. ...
43 Citations Source Cite
Cited By5
Newest
Published on Feb 1, 2019in Water 2.07
Marie Therese Abi Saab2
Estimated H-index: 2
,
Ihab Jomaa + 2 AuthorsMladen Todorovic13
Estimated H-index: 13
The suitability of cloud-based irrigation technologies remains questionable due to limited information on their evaluation in the field. This study focussed on the on-field assessment of a smartphone irrigation scheduling tool—Bluleaf®—with respect to traditional water application practices. Bluleaf® uses weather, crop, soil, and irrigation system data to support a farmer’s decision on the timing and amounts of irrigation. The smartphone application was tested in Bekaa Valley, Lebanon, on durum ...
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Published on Sep 12, 2018in ISH Journal of Hydraulic Engineering
Arunava Poddar (National Institute of Technology, Hamirpur), Navsal Kumar (National Institute of Technology, Hamirpur), Vijay Shankar6
Estimated H-index: 6
(National Institute of Technology, Hamirpur)
ABSTRACTWater shortage is the prominent limiting factor for agricultural sector in developing countries. The efficient water use is required which helps to obtain effective irrigation schedule for various crops. The present study aims at establishing optimized irrigation schedule for potato, which is a major cash crop in Northern India. Study is conducted in open field plot of Agricultural Experimental Station at National Institute of Technology Hamirpur (India) for Potato during 2013–2016. Irri...
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Published on Sep 7, 2018in Water 2.07
Yi Cui1
Estimated H-index: 1
,
Shangming Jiang1
Estimated H-index: 1
+ 2 AuthorsHongwei Yuan
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Published on Aug 16, 2018in Water 2.07
Huimeng Zhang2
Estimated H-index: 2
,
Guanhua Huang25
Estimated H-index: 25
+ 2 AuthorsQuanzhong Huang13
Estimated H-index: 13
2 Citations Source Cite
Published on Jun 1, 2018in Agricultural and Forest Meteorology 4.04
Jianzhao Tang2
Estimated H-index: 2
,
Jing Wang11
Estimated H-index: 11
+ 4 AuthorsXuebiao Pan4
Estimated H-index: 4
Abstract Precipitation is the key yield–determining factor for rainfed agricultural production such as the agro-pastoral ecotone in North China with high variation in precipitation. However, the yield–precipitation relationship depends on the distribution and amount of precipitation over the crop growth period. Understanding crop yield responses to precipitation can help develop appropriate measures to ensure stable crop production in the agro-pastoral ecotone. In this study, an experiment was c...
4 Citations Source Cite