Apparent fertilizer nitrogen recovery and residual soil nitrate under continuous potato cropping: Effect of N fertilization rate and timing

Cambouris, Athyna N.; Zebarth, Bernie J.; Nolin, Michel C.; Laverdière, M. R.

doi:10.4141/cjss07107

Cited by 56 publications

(40 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There are several factors that a grower should consider in choosing a fertilizer N rate for a specific field including soil type, variety to be grown, previous crop, expected time of harvest, yield goal, crop residue or soil amendments application history, rainfall history, and irrigation. Crop recovery of fertilizer-N decreases with an increase in the rate of N application (Cambouris et al 2008) and recovery is less in sandy soil (Macdonald et al 1997). Therefore, sandy soils and especially irrigated systems require split application of N to increase use efficiency and reduce NO 3 leaching (Errebhi et al 1998a).…”

Section: Nitrogen Fertilizer Managementmentioning

confidence: 99%

“…The spatial variation in response to N fertilization and irrigation has led to an interest in precision farming, which considers sitespecific soil variability, provides data on the amounts of N needed for specific field, and reduces potential NO 3 leaching. Therefore, it is critical to manage N using site specific nutrient management (SSNM) system, which accounts for spatial soil variability within the fields and makes precise recommendation of N need that increases efficiency of applied N (Khosla et al 2002;Cambouris et al 2008). Site-specific N management has reduced NO 3 leaching on areas with high leaching potential on loamy fine sandy soil of Washington, indicating SSNM's potential to improve N management in potato cropping system (Whitley et al 2001).…”

Section: Site-specific Nitrogen Management (Ssnm) and Precision Agricmentioning

confidence: 99%

See 1 more Smart Citation

Strategies to Reduce Nitrate Leaching into Groundwater in Potato Grown in Sandy Soils: Case Study from North Central USA

2010

View full text Add to dashboard Cite

There is increasing public concern to reduce nitrate pollution to groundwater, especially in sandy soils. Strategies to reduce nitrate leaching are developed to increase N use efficiency, reduce groundwater pollution, and increase tuber yield. A growing interest in N management should consider management strategies for N supply, soil moisture for transport, and crop N demand that are economical and compatible with local production systems. We present a review of the literature on conventional and innovative strategies for N, irrigation, and crop management for potato production in reducing N leaching in sandy soils. The amount of fertilizer-N should be decided based on an integrated evaluation of soil organic matter content, soil texture, residual soil N, crop residues, credit to organic N sources, crops to be grown including varieties and crop physiological needs, cropping systems, yield potential, water management, and N concentrations in irrigation water. Research advances have no quick fix for controlling NO 3 leaching to groundwater. However, the best combination of proven strategies can reduce leaching potential significantly.Resumen Existe una preocupación pública en aumento para reducir la contaminación de nitrato en el agua del subsuelo, especialmente en suelos arenosos. Se han desarrollado estrategias para reducir la lixiviación de nitratos para aumentar el uso eficiente de N, reducir la contaminación del agua del subsuelo, y para aumentar el rendimiento de tubérculo. Un interés en aumento en manejo de N debería de considerar estrategias de manejo para suministro de N, humedad del suelo para el transporte, y demanda de N del cultivo que sean económicas y compatibles con los sistemas locales de producción. Presentamos una revisión de la literatura en las estrategias convencionales e innovativas para el manejo de N, riego y del cultivo para producción de papa en la reducción de la lixiviación de N en suelos arenosos. La cantidad del fertilizante nitrogenado deberá decidirse con base a una evaluación integrada del contenido de materia orgánica en el suelo, textura, N residual, residuos de cosecha, reconocimiento a las fuentes de N orgánico, cultivos a sembrarse incluyendo variedades y necesidades fisiológicas del cultivo, sistemas de cultivo, potencial de rendimiento, manejo del agua, y concentraciones de N en el agua de riego. Los avances en investigación no tienen un remedio rápido para controlar la lixiviación de NO3 al agua del subsuelo. No obstante, la mejor combinación de estrategias probadas pueden reducir significativamente el potencial de lixiviación.

show abstract

Section: Nitrogen Fertilizer Managementmentioning

confidence: 99%

Section: Site-specific Nitrogen Management (Ssnm) and Precision Agricmentioning

confidence: 99%

Strategies to Reduce Nitrate Leaching into Groundwater in Potato Grown in Sandy Soils: Case Study from North Central USA

2010

View full text Add to dashboard Cite

show abstract

“…The algorithm performs regression in the high-dimension feature space using the ε -insensitive loss as cost function (see [11], for details) and, simultaneously, reduces model complexity minimizing 2 ω . This can be described by introducing the non-negative slack variables i ξ and i ξ * that measure the deviation of the n training samples outside the ε -insensitive zone (also named ε -tube).…”

Section: Least Squares Support Vector Machinementioning

confidence: 99%

“…Estimates of the apparent recovery of N fertiliser in the potato plant in Quebec ranged between 29% -70% in loamy sands [1] and 21% -62% in sandy soils [2]. Modeling could test the effect of management practices on nitrate leaching, particularly with regard to optimal N application rates.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Machine Learning Regression Methods to Simulate NO<sub>3</sub> Flux in Soil Solution under Potato Crops

Fortin

Morais²,

Anctil³

et al. 2014

View full text Add to dashboard Cite

Nitrate (NO3) leaching is a major issue in sandy soils intensively cropped to potato. Modelling could test the effect of management practices on nitrate leaching, particularly with regard to optimal N application rates. The NO3 concentration in the soil solution is well known for its local heterogeneity and hence represents a major challenge for modeling. The objective of this 2-yearstudy was to evaluate machine learning regression methods to simulate seasonal NO3 concentration dynamics in suction lysimeters in potato plots receiving different N application rates. Four machine learning function approximation methods were compared: multiple linear regressions, multivariate adaptive regression splines, multiple-layer perceptrons, and least squares support vector machines. Input candidates were chosen for known relationships with NO3 concentration. The best regression model was obtained with a 6-inputs least squares support vector machine combining cumulative rainfall, cumulative temperature, day of the year, N fertilisation rate, soil texture, and depth.

show abstract

“…Nitrogen application rates in excess of crop requirements can result in high residual soil NO 3 after harvest (Bélanger et al, 2003) and associated NO 3 leaching (Errebhi et al, 1998;Cambouris et al, 2008). Thus, it is important to understand N uptake and leaching and to identify suitable fertilization practices.…”

Section: Introductionmentioning

confidence: 99%

Simulating Potato Growth and Nitrogen Uptake in Eastern Canada with the STICS Model

et al. 2016

View full text Add to dashboard Cite

The ability of process‐based soil–crop models to simulate potato (Solanum tuberosum L.) yield and N uptake for a range of N fertilization under the conditions of eastern Canada has never been tested. Our objectives were (i) to calibrate and evaluate the performance of the STICS model for the Shepody and Russet Burbank cultivars with cultivar‐specific critical N concentration dilution curves, and (ii) to quantify the gain in model performance with cultivar‐specific N concentration curves rather than a generic curve. Data sets including measurements of leaf area index (LAI), total and tuber biomass, and total and tuber N uptake for several N rates (0–280 kg N ha−1) collected at Charlottetown, PE; Fredericton, NB; and Québec, QC, Canada were used. Calibration was done with one data set from Charlottetown for Shepody and one data set from Québec for Russet Burbank, while all the other data sets were used to evaluate model performance. Following calibration, the STICS model generally performed well, with a normalized root mean square error (NRMSE) < 30% and a normalized mean error (NME) ranging from –8% to 23%, for LAI and biomass. Model performance was slightly worse for total and tuber N uptake, although cultivar‐specific N concentration curves for Shepody and Russet Burbank improved model performance compared with a generic curve with a lower NRMSE (18–50% vs. 21–63%) and NME (–9 to 23% vs. –14 to 23%). Cultivar‐specific critical N concentration curves should therefore be used for assessing the N budget of potato cropping systems.Core Ideas The STICS soil–crop model was calibrated and evaluated for two potato cultivars. Calibrated and evaluated variables were LAI, total and tuber biomass, and total and tuber N uptake. Cultivar‐specific critical N concentration curves are recommended for N budget assessment.

show abstract

Apparent fertilizer nitrogen recovery and residual soil nitrate under continuous potato cropping: Effect of N fertilization rate and timing

Cited by 56 publications

References 42 publications

Strategies to Reduce Nitrate Leaching into Groundwater in Potato Grown in Sandy Soils: Case Study from North Central USA

Strategies to Reduce Nitrate Leaching into Groundwater in Potato Grown in Sandy Soils: Case Study from North Central USA

Comparison of Machine Learning Regression Methods to Simulate NO<sub>3</sub> Flux in Soil Solution under Potato Crops

Simulating Potato Growth and Nitrogen Uptake in Eastern Canada with the STICS Model

Contact Info

Product

Resources

About

Apparent fertilizer nitrogen recovery and residual soil nitrate under continuous potato cropping: Effect of N fertilization rate and timing

Cited by 56 publications

References 42 publications

Strategies to Reduce Nitrate Leaching into Groundwater in Potato Grown in Sandy Soils: Case Study from North Central USA

Strategies to Reduce Nitrate Leaching into Groundwater in Potato Grown in Sandy Soils: Case Study from North Central USA

Comparison of Machine Learning Regression Methods to Simulate NO&lt;sub&gt;3&lt;/sub&gt; Flux in Soil Solution under Potato Crops

Simulating Potato Growth and Nitrogen Uptake in Eastern Canada with the STICS Model

Contact Info

Product

Resources

About

Comparison of Machine Learning Regression Methods to Simulate NO<sub>3</sub> Flux in Soil Solution under Potato Crops