Approach to Petiole Sap Nutritional Diagnosis Method by Empirical Model Based on Climatic and Growth Parameters
The aim of this work is to evaluate the relationship between the nutrient concentration in petiole sap and different agronomic and climatic variables for a tomato crop grown in a greenhouse in Mediterranean conditions. In addition, the persistence of the nutrient concentration in petiole sap was inv...
Main Authors: | , , , , , , |
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Format: | info:eu-repo/semantics/article |
Language: | English |
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MDPI
2020
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Online Access: | http://hdl.handle.net/10835/7711 |
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author | Llanderal Quiroz, Alfonso García Caparrós, Pedro Pérez Alonso, José Contreras París, Juana Isabel Segura Pérez, María Luz Reca Cardeña, Juan Lao Arenas, María Teresa |
author_facet | Llanderal Quiroz, Alfonso García Caparrós, Pedro Pérez Alonso, José Contreras París, Juana Isabel Segura Pérez, María Luz Reca Cardeña, Juan Lao Arenas, María Teresa |
author_sort | Llanderal Quiroz, Alfonso |
collection | DSpace |
description | The aim of this work is to evaluate the relationship between the nutrient concentration in petiole sap and different agronomic and climatic variables for a tomato crop grown in a greenhouse in Mediterranean conditions. In addition, the persistence of the nutrient concentration in petiole sap was investigated with the aim of determining the sampling period that implies the best trade-off nutritional information. The experiment consisted of the selection of 20 sampling points inside the greenhouse. The samples of petiole, fully expanded leaf, and soil solution samples were collected weekly from 86 to 163 days after transplanting. Chloride, NO3−-N, H2PO4−-P, Na+, K+, Ca2+, and Mg2+ concentrations were determined in petiole sap and soil solution obtained by suction cups. Nitrogen, P, K, Cl, and Na concentrations were also determined in leaf. Finally, the petiole sap nutritional diagnosis method is the highest sensitive nutritional diagnosis method which compares soil solution and nutrient leaf content related to yield, and the statistical analysis performed in this research demonstrates that crop evapotranspiration (ETc), vapor pressure deficit (DPV), and leaf area index (LAI) are considered the most significant variables that allow the development of these empirical prediction models regarding nutrient concentration in petiole sap. |
format | info:eu-repo/semantics/article |
id | oai:repositorio.ual.es:10835-7711 |
institution | Universidad de Cuenca |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | dspace |
spelling | oai:repositorio.ual.es:10835-77112023-04-12T18:54:13Z Approach to Petiole Sap Nutritional Diagnosis Method by Empirical Model Based on Climatic and Growth Parameters Llanderal Quiroz, Alfonso García Caparrós, Pedro Pérez Alonso, José Contreras París, Juana Isabel Segura Pérez, María Luz Reca Cardeña, Juan Lao Arenas, María Teresa crop evapotranspiration leaf analysis leaf area index petiole sap soil solution vapor pressure deficit (VPD) The aim of this work is to evaluate the relationship between the nutrient concentration in petiole sap and different agronomic and climatic variables for a tomato crop grown in a greenhouse in Mediterranean conditions. In addition, the persistence of the nutrient concentration in petiole sap was investigated with the aim of determining the sampling period that implies the best trade-off nutritional information. The experiment consisted of the selection of 20 sampling points inside the greenhouse. The samples of petiole, fully expanded leaf, and soil solution samples were collected weekly from 86 to 163 days after transplanting. Chloride, NO3−-N, H2PO4−-P, Na+, K+, Ca2+, and Mg2+ concentrations were determined in petiole sap and soil solution obtained by suction cups. Nitrogen, P, K, Cl, and Na concentrations were also determined in leaf. Finally, the petiole sap nutritional diagnosis method is the highest sensitive nutritional diagnosis method which compares soil solution and nutrient leaf content related to yield, and the statistical analysis performed in this research demonstrates that crop evapotranspiration (ETc), vapor pressure deficit (DPV), and leaf area index (LAI) are considered the most significant variables that allow the development of these empirical prediction models regarding nutrient concentration in petiole sap. 2020-02-19T13:02:11Z 2020-02-19T13:02:11Z 2020-01-29 info:eu-repo/semantics/article 2073-4395 http://hdl.handle.net/10835/7711 en https://www.mdpi.com/2073-4395/10/2/188 Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess MDPI |
spellingShingle | crop evapotranspiration leaf analysis leaf area index petiole sap soil solution vapor pressure deficit (VPD) Llanderal Quiroz, Alfonso García Caparrós, Pedro Pérez Alonso, José Contreras París, Juana Isabel Segura Pérez, María Luz Reca Cardeña, Juan Lao Arenas, María Teresa Approach to Petiole Sap Nutritional Diagnosis Method by Empirical Model Based on Climatic and Growth Parameters |
title | Approach to Petiole Sap Nutritional Diagnosis Method by Empirical Model Based on Climatic and Growth Parameters |
title_full | Approach to Petiole Sap Nutritional Diagnosis Method by Empirical Model Based on Climatic and Growth Parameters |
title_fullStr | Approach to Petiole Sap Nutritional Diagnosis Method by Empirical Model Based on Climatic and Growth Parameters |
title_full_unstemmed | Approach to Petiole Sap Nutritional Diagnosis Method by Empirical Model Based on Climatic and Growth Parameters |
title_short | Approach to Petiole Sap Nutritional Diagnosis Method by Empirical Model Based on Climatic and Growth Parameters |
title_sort | approach to petiole sap nutritional diagnosis method by empirical model based on climatic and growth parameters |
topic | crop evapotranspiration leaf analysis leaf area index petiole sap soil solution vapor pressure deficit (VPD) |
url | http://hdl.handle.net/10835/7711 |
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