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| Registros recuperados : 7 | |
| 2. |  | DE SOUZA, R.; GRASSO, R.; PEÑA-FLEITAS, M.T.; GALLARDO, M.; THOMPSON, R.B.; PADILLA, F.M. Effect of cultivar on chlorophyll meter and canopy reflectance measurements in cucumber. Sensors (Switzerland), 2 January 2020, Volume 20, Issue 2, Article number 509. OPEN ACCESS. Doi: https://doi.org/10.3390/s20020509 Article history: Received: 29 November 2019 / Revised: 13 January 2020 / Accepted: 14 January 2020 / Published: 16 January 2020.
This article belongs to the Special Issue Proximal Sensing for Nitrogen Management:...| Biblioteca(s): INIA Las Brujas. |
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| 3. | | PADILLA, F.M.; DE SOUZA, R.; PEÑA-FLEITAS, M.T.; GRASSO, R.; GALLARDO, M.; THOMPSON, R.B. Influence of time of day on measurement with chlorophyll meters and canopy reflectance sensors of different crop N status. Precision Agriculture, 1 December 2019, Volume 20, Issue 6, Pages 1087-1106. OPEN ACCESS. Doi: https://doi.org/10.1007/s11119-019-09641-1 Article history: Received 19 June 2019; Accepted 06 February 2020; Published 14 February 2020.
Corresponding author: Padilla, F.M.; Department of Agronomy, University of Almeria, Carretera de Sacramento s/n, La Cañada, Almería, Spain;...| Biblioteca(s): INIA Las Brujas. |
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| 4. | | PEÑA-FLEITAS, M.T.; GRASSO, R.; GALLARDO, M.; PADILLA, F.M.; DE SOUZA, R.; RODRÍGUEZ , A.; THOMPSON, R.B. Sample temperature affects measurement of nitrate with a rapid analysis ion selective electrode system used for N management of vegetable crops. Agronomy, 2022, Volume 12, Issue 12, 3031. OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12123031 Article history: Received 27 October 2022; Revised 23 November 2022; Accepted 26 November 2022; Published: 30 November 2022. --
This article belongs to the Special Issue Growth and Nutrient Management of Vegetables...| Biblioteca(s): INIA Las Brujas. |
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| 5. | | DE SOUZA, R.; PEÑA-FLEITAS, M.T.; THOMPSON, R.B.; GALLARDO, M.; GRASSO, R.; PADILLA, F.M. The use of chlorophyll meters to assess crop N status and derivation of sufficiency values for sweet pepper. Sensors (Basel, Switzerland), 4 July 2019, Volume 19, Issue 13, 2949. OPEN ACCESS. Article history: Received: 15 May 2019 / Revised: 19 June 2019 / Accepted: 1 July 2019 / Published: 4 July 2019.
(This article belongs to the Special Issue Proximal Sensing for Nitrogen Management).
This is an open access article...| Biblioteca(s): INIA Las Brujas. |
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| 7. | | FINOZZI, G.; KUCHMAN, M.; DUARTE, E.; BLANCO, N.; DE SOUZA, R.; GARCIA, C.; OTERO, A.; VARELA, P.; DE BRUM RODRÍGUEZ, F. Regando la Ganadería del Norte. Algunos resultados del predio piloto Grilli - Ferreira. Sustentabilidad. Revista INIA Uruguay, Junio 2022, no.69, p.38-41. (Revista INIA; 69).| Biblioteca(s): INIA Las Brujas. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
01/11/2021 |
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Actualizado : |
01/11/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
DE SOUZA, R.; PEÑA-FLEITAS, M.T.; THOMPSON, R.B.; GALLARDO, M.; GRASSO, R.; PADILLA, F.M. |
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Afiliación : |
ROMINA DE SOUZA, Department of Agronomy, University of Almeria, Almería, Spain; Universidad de la República, CENUR LN Departamento del Agua - Facultad de Agronomía, Salto, 50000, Uruguay; M. TERESA PEÑA-FLEITAS, Department of Agronomy, University of Almeria, Almería, Spain; RODNEY B. THOMPSON, Department of Agronomy, University of Almeria, Almería, Spain; CIAIMBITAL Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology, University of Almeria, Almería, Spain; MARÍA GALLARDO, Department of Agronomy, University of Almeria, Almería, Spain; CIAIMBITAL Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology, University of Almeria, Almería, Spain; RAFAEL GILLSON GRASSO RODRIGUEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANCISCO M. PADILLA, Department of Agronomy, University of Almeria, Almería, Spain; CIAIMBITAL Research Centre for Mediterranean Intensive Agrosystems and Agrifood Biotechnology, University of Almeria, Almería, Spain. |
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Título : |
Use of fluorescence indices as predictors of crop N status and yield for greenhouse sweet pepper crops. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Precision Agriculture, 2021, OPEN ACCESS. Doi: https://doi.org/10.1007/s11119-021-09837-4 |
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ISSN : |
1385-2256 |
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DOI : |
10.1007/s11119-021-09837-4 |
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Idioma : |
Inglés |
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Notas : |
Article history: Accepted 18 August 2021; Published 09 September 2021.
Contiene información suplementaria. |
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Contenido : |
ABSTRACT. - To increase nitrogen (N) use efficiency and reduce water pollution from vegetable production, it is necessary to optimize N management. Fluorescence-based optical sensors are devices that can improve N fertilization through non-destructive field monitoring of crop variables. The aim of this work was to compare the performance of five fluorescence indices (SFR-R, SFR-G, FLAV, NBI-R, and NBI-G) to predict crop variables, as dry matter production, crop N content, crop N uptake, Nitrogen Nutrition Index (NNI), absolute and relative yield, in sweet pepper (Capsicum annuum) crops grown in greenhouse. Fluorescence measurements were periodically made with the Multiplex® 3.6 sensor throughout three cropping cycles subjected to five N application treatments. The performance of fluorescence indices to predict crop variables considered calibration and validation analyses. In general, the five fluorescence indices were strongly related with NNI, crop N content and relative yield. The best performing indices to predict crop N content and NNI at the early stages of the crops (i.e., vegetative and flowering phenological stages) were the SFR indices, both under red (SFR-R) and green (SFR-G) excitation. However, in the final stage of the crop (i.e., harvest stage), the best performing indices were NBI, both under red (NBI-R) and green (NBI-G) excitation, and FLAV. The two SFR indices best predicted relative yield of sweet pepper at early growth stages. Overall, the fluorescence sensor and the fluorescence indices evaluated were able to predict crop variables related to N status in sweet pepper. They have the capacity to be incorporated into best N management practices. © 2021, The Author(s). MenosABSTRACT. - To increase nitrogen (N) use efficiency and reduce water pollution from vegetable production, it is necessary to optimize N management. Fluorescence-based optical sensors are devices that can improve N fertilization through non-destructive field monitoring of crop variables. The aim of this work was to compare the performance of five fluorescence indices (SFR-R, SFR-G, FLAV, NBI-R, and NBI-G) to predict crop variables, as dry matter production, crop N content, crop N uptake, Nitrogen Nutrition Index (NNI), absolute and relative yield, in sweet pepper (Capsicum annuum) crops grown in greenhouse. Fluorescence measurements were periodically made with the Multiplex® 3.6 sensor throughout three cropping cycles subjected to five N application treatments. The performance of fluorescence indices to predict crop variables considered calibration and validation analyses. In general, the five fluorescence indices were strongly related with NNI, crop N content and relative yield. The best performing indices to predict crop N content and NNI at the early stages of the crops (i.e., vegetative and flowering phenological stages) were the SFR indices, both under red (SFR-R) and green (SFR-G) excitation. However, in the final stage of the crop (i.e., harvest stage), the best performing indices were NBI, both under red (NBI-R) and green (NBI-G) excitation, and FLAV. The two SFR indices best predicted relative yield of sweet pepper at early growth stages. Overall, the fluorescence se... Presentar Todo |
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Palabras claves : |
Flavonols meter; Fluorimeter; Nitrogen Nutrition Index; Vegetable crops; Yield. |
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Thesagro : |
CAPSICUM ANNUUM. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
https://link.springer.com/content/pdf/10.1007/s11119-021-09837-4.pdf
https://static-content.springer.com/esm/art%3A10.1007%2Fs11119-021-09837-4/MediaObjects/11119_2021_9837_MOESM1_ESM.docx
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Marc : |
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022 $a1385-2256
024 7 $a10.1007/s11119-021-09837-4$2DOI
100 1 $aDE SOUZA, R.
245 $aUse of fluorescence indices as predictors of crop N status and yield for greenhouse sweet pepper crops.$h[electronic resource]
260 $c2021
500 $aArticle history: Accepted 18 August 2021; Published 09 September 2021. Contiene información suplementaria.
520 $aABSTRACT. - To increase nitrogen (N) use efficiency and reduce water pollution from vegetable production, it is necessary to optimize N management. Fluorescence-based optical sensors are devices that can improve N fertilization through non-destructive field monitoring of crop variables. The aim of this work was to compare the performance of five fluorescence indices (SFR-R, SFR-G, FLAV, NBI-R, and NBI-G) to predict crop variables, as dry matter production, crop N content, crop N uptake, Nitrogen Nutrition Index (NNI), absolute and relative yield, in sweet pepper (Capsicum annuum) crops grown in greenhouse. Fluorescence measurements were periodically made with the Multiplex® 3.6 sensor throughout three cropping cycles subjected to five N application treatments. The performance of fluorescence indices to predict crop variables considered calibration and validation analyses. In general, the five fluorescence indices were strongly related with NNI, crop N content and relative yield. The best performing indices to predict crop N content and NNI at the early stages of the crops (i.e., vegetative and flowering phenological stages) were the SFR indices, both under red (SFR-R) and green (SFR-G) excitation. However, in the final stage of the crop (i.e., harvest stage), the best performing indices were NBI, both under red (NBI-R) and green (NBI-G) excitation, and FLAV. The two SFR indices best predicted relative yield of sweet pepper at early growth stages. Overall, the fluorescence sensor and the fluorescence indices evaluated were able to predict crop variables related to N status in sweet pepper. They have the capacity to be incorporated into best N management practices. © 2021, The Author(s).
650 $aCAPSICUM ANNUUM
653 $aFlavonols meter
653 $aFluorimeter
653 $aNitrogen Nutrition Index
653 $aVegetable crops
653 $aYield
700 1 $aPEÑA-FLEITAS, M.T.
700 1 $aTHOMPSON, R.B.
700 1 $aGALLARDO, M.
700 1 $aGRASSO, R.
700 1 $aPADILLA, F.M.
773 $tPrecision Agriculture, 2021, OPEN ACCESS. Doi: https://doi.org/10.1007/s11119-021-09837-4
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