Canopy Temperature as a Key Physiological Trait to Improve Yield Prediction under Water Restrictions in Potato

Canopy temperature (CT) as a surrogate of stomatal conductance has been highlighted as an essential physiological indicator for optimizing irrigation timing in potatoes. However, assessing how this trait could help improve yield prediction will help develop future decision support tools. In this stu...

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Autores principales:	Ninanya, Johan, Ramírez, David A., Rinza, Javier, Silva-Díaz, Cecilia, Cervantes, Marcelo, García, Jerónimo, Quíroz, Roberto
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	2021
Materias:	TEMPERATURA DOSEL RENDIMIENTO PAPA PREDICCION TRATAMIENTO DE AGUAS BALANCE HIDRICO MEJORA DE CULTIVOS BIOMASA COSECHA
Acceso en línea:	https://doi.org/10.3390/agronomy11071436 https://repositorio.catie.ac.cr/handle/11554/11128

id	RepoCATIE11128
record_format	dspace
spelling	RepoCATIE111282021-12-22T18:40:01Z Canopy Temperature as a Key Physiological Trait to Improve Yield Prediction under Water Restrictions in Potato Ninanya, Johan Ramírez, David A. Rinza, Javier Silva-Díaz, Cecilia Cervantes, Marcelo García, Jerónimo Quíroz, Roberto TEMPERATURA DOSEL RENDIMIENTO PAPA PREDICCION TRATAMIENTO DE AGUAS BALANCE HIDRICO MEJORA DE CULTIVOS BIOMASA COSECHA Canopy temperature (CT) as a surrogate of stomatal conductance has been highlighted as an essential physiological indicator for optimizing irrigation timing in potatoes. However, assessing how this trait could help improve yield prediction will help develop future decision support tools. In this study, the incorporation of CT minus air temperature (dT) in a simple ecophysiological model was analyzed in three trials between 2017 and 2018, testing three water treatments under drip (DI) and furrow (FI) irrigations. Water treatments consisted of control (irrigated until field capacity) and two-timing irrigation based on physiological thresholds (CT and stomatal conductance). Two model perspectives were implemented based on soil water balance (P1) and using dT as the penalizing factor (P2), affecting the biomass dynamics and radiation use efficiency parameters. One of the trials was used for model calibration and the other two for validation. Statistical indicators of the model performance determined a better yield prediction at harvest for P2, especially under maximum stress conditions. The P1 and P2 perspectives showed their highest coefficient of determination (R2) and lowest root-mean-squared error (RMSE) under DI and FI, respectively. In the future, the incorporation of CT combining low-cost infrared devices/sensors with spatial crop models, satellite image information, and telemetry technologies, an adequate decision support system could be implemented for water requirement determination and yield prediction in potatoes. 2021-07-22T21:22:23Z 2021-07-22T21:22:23Z 2021-07-20 Artículo https://doi.org/10.3390/agronomy11071436 https://repositorio.catie.ac.cr/handle/11554/11128 en Agronomy, Volumen 11, (2021) info:eu-repo/semantics/restrictedAccess application/pdf
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
topic	TEMPERATURA DOSEL RENDIMIENTO PAPA PREDICCION TRATAMIENTO DE AGUAS BALANCE HIDRICO MEJORA DE CULTIVOS BIOMASA COSECHA
spellingShingle	TEMPERATURA DOSEL RENDIMIENTO PAPA PREDICCION TRATAMIENTO DE AGUAS BALANCE HIDRICO MEJORA DE CULTIVOS BIOMASA COSECHA Ninanya, Johan Ramírez, David A. Rinza, Javier Silva-Díaz, Cecilia Cervantes, Marcelo García, Jerónimo Quíroz, Roberto Canopy Temperature as a Key Physiological Trait to Improve Yield Prediction under Water Restrictions in Potato
description	Canopy temperature (CT) as a surrogate of stomatal conductance has been highlighted as an essential physiological indicator for optimizing irrigation timing in potatoes. However, assessing how this trait could help improve yield prediction will help develop future decision support tools. In this study, the incorporation of CT minus air temperature (dT) in a simple ecophysiological model was analyzed in three trials between 2017 and 2018, testing three water treatments under drip (DI) and furrow (FI) irrigations. Water treatments consisted of control (irrigated until field capacity) and two-timing irrigation based on physiological thresholds (CT and stomatal conductance). Two model perspectives were implemented based on soil water balance (P1) and using dT as the penalizing factor (P2), affecting the biomass dynamics and radiation use efficiency parameters. One of the trials was used for model calibration and the other two for validation. Statistical indicators of the model performance determined a better yield prediction at harvest for P2, especially under maximum stress conditions. The P1 and P2 perspectives showed their highest coefficient of determination (R2) and lowest root-mean-squared error (RMSE) under DI and FI, respectively. In the future, the incorporation of CT combining low-cost infrared devices/sensors with spatial crop models, satellite image information, and telemetry technologies, an adequate decision support system could be implemented for water requirement determination and yield prediction in potatoes.
format	Artículo
author	Ninanya, Johan Ramírez, David A. Rinza, Javier Silva-Díaz, Cecilia Cervantes, Marcelo García, Jerónimo Quíroz, Roberto
author_facet	Ninanya, Johan Ramírez, David A. Rinza, Javier Silva-Díaz, Cecilia Cervantes, Marcelo García, Jerónimo Quíroz, Roberto
author_sort	Ninanya, Johan
title	Canopy Temperature as a Key Physiological Trait to Improve Yield Prediction under Water Restrictions in Potato
title_short	Canopy Temperature as a Key Physiological Trait to Improve Yield Prediction under Water Restrictions in Potato
title_full	Canopy Temperature as a Key Physiological Trait to Improve Yield Prediction under Water Restrictions in Potato
title_fullStr	Canopy Temperature as a Key Physiological Trait to Improve Yield Prediction under Water Restrictions in Potato
title_full_unstemmed	Canopy Temperature as a Key Physiological Trait to Improve Yield Prediction under Water Restrictions in Potato
title_sort	canopy temperature as a key physiological trait to improve yield prediction under water restrictions in potato
publishDate	2021
url	https://doi.org/10.3390/agronomy11071436 https://repositorio.catie.ac.cr/handle/11554/11128
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Canopy Temperature as a Key Physiological Trait to Improve Yield Prediction under Water Restrictions in Potato

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