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| Registros recuperados : 146 | |
| 63. |  | DEL CAMPO, M. Bienestar animal: castración de terneros: [disertación]. In JORNADAS URUGUAYAS DE BUIATRÍA, 42., 2014, Paysandú, UY; ELIZONDO, V.; MATTO, C. (Ed.). [Trabajos presentados]: disertaciones. Paysandú: Centro Médico Veterinario de Paysandú/Sociedad Uruguaya de Buiatría, 2014. p. 32-48.| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó; INIA Treinta y Tres. |
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| 64. | | DEL CAMPO, M.; HERNANDEZ, S.; ANCHAÑO, A.; GIORELLO, S.; SOARES DE LIMA, J.M.; BOTERO, S.; FERRON, M.; FREITAS, G.; ALBERNAZ, F.; RODRIGUEZ, A.; PIÑEIRO, J.; MONDRAGÓN-ANCELMO, J; MARTINEZ, J.; FREINTAS, G.; LARRONDA, J.; LEMOS, R.; MARQUEZ, H. Bienestar animal en bovinos. Resultados experimentales: castración de terneros. Evaluación de las respuestas de estrés en terneros con diferentes métodos y edad a la castración: años 2009, 2010 y 2011. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. p. 493-527 (Serie Técnica; 217)| Biblioteca(s): INIA Tacuarembó. |
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| 65. | | DEL CAMPO, M.; HERNANDEZ, S.; ANCHAÑO, A.; GIORELLO, S.; SOARES DE LIMA, J.M.; BOTERO, S.; FERRON, M.; FREITAS, G.; ALBERNAZ, F.; RODRIGUEZ, A.; PIÑEIRO, J.; MONDRAGON, J.; MARTINEZ, J.; FREINTAS, G.; LARRONDA, J.; LEMOS, R.; MARQUEZ, H. Bienestar animal en bovinos. Resultados experimentales: castración de terneros. Evaluación de las respuestas de estrés en terneros con diferentes métodos y edad a la castración: años 2009, 2010 y 2011. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. p. 493-527 (Serie Técnica; 217)| Biblioteca(s): INIA Treinta y Tres. |
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| 66. | | DEL CAMPO, M. Bienestar animal en la cadena cárnica. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. p. 477-484 (Serie Técnica; 217)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 67. | | DEL CAMPO, M.; HERNANDEZ, S.; BOTERO, S.; MOREIRA, E.; ROVIRA, F.; FRUGONI, J.; LEVRATTO, J.; FERRON, M.; MONDRAGÓN-ANCELMO, J; DE BARBIERI, I. Bienestar animal en ovinos. Resultados experimentales: castración y descole en corderos. Evaluación de las respuestas de estrés en corderos, con diferentes métodos de castración y descole: años 2009 y 2010. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. p. 485-492 (Serie Técnica; 217)| Biblioteca(s): INIA Tacuarembó. |
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| 68. | | DEL CAMPO, M.; HERNANDEZ, S.; BOTERO, S.; MOREIRA, E.; ROVIRA, F.; FRUGONI, J.; LEVRATTO, J.; FERRON, M.; MONDRAGON, J.; DE BARBIERI, I. Bienestar animal en ovinos. Resultados experimentales: castración y descole en corderos. Evaluación de las respuestas de estrés en corderos, con diferentes métodos de castración y descole: años 2009 y 2010. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. p. 485-492 (Serie Técnica; 217)| Biblioteca(s): INIA Treinta y Tres. |
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| 69. | | DEL CAMPO, M.; DARRICARRERE, N.; BRITO, G.; HERNANDEZ, P.; MANTECA, X.; SOARES DE LIMA, J.M.; MONTOSSI, F. Bienestar animal y calidad de carne en bovinos. Resultados experimentales: sistemas de terminación, manejo pre faena, calidad de producto. I. Efecto del sistema de alimentación y el manejo previo a la faena sobre el animal y calidad de producto. Año 1. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. p. 529-538 (Serie Técnica; 217)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 71. | | DEL CAMPO, M.; BRITO, G.; SOARES DE LIMA, J.M.; SALAVERRY, S.; CHALKLING, D. Effect of the castration method on steers performance and meat quality. In: INTERNATIONAL CONGRESS OF MEAT SCIENCE AND TECHNOLOGY (ICoMST), 60., 2014, Punta del Este, Uruguay. Proceedings... Montevideo: INIA, 2014.| Biblioteca(s): INIA Tacuarembó. |
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| 72. | | COSTA, F.O.; DEL CAMPO, M.; SOARES DE LIMA, J.M.; BRITO, G.; PARANHOS DA COSTA, M.J.R The effect of different pre slaughter procedures on carcas and meat quality in Uruguay. In: INTERNATIONAL CONGRESS OF MEAT SCIENCE AND TECHNOLOGY (ICoMST), 60., 2014, Punta del Este, Uruguay. Proceedings... Montevideo: INIA, 2014.| Biblioteca(s): INIA Tacuarembó. |
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| 73. | | BRITO, G.; SAN JULIAN, R.; LA MANNA, A.; DEL CAMPO, M.; MONTOSSI, F.; BANCHERO, G. Growth, carcass traits and palatability: Can the influence of the feeding regimes explain the variability found on those attributes in different uruguayan genotypes? Meat Science, July 2014, v. 98, p.533-538. Article history:Received 16 April 2014/Received in revised form 4 July 2014/Accepted 7 July 2014/Available online 12 July 2014.| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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| 74. | | DEL CAMPO, M.; BRITO, G.; SOARES DE LIMA, J.M.; SALAVERRY, S.; CHALKLING, D. Is it possible to obtain high standards of meat quality with entire young males? In: INTERNATIONAL CONGRESS OF MEAT SCIENCE AND TECHNOLOGY (ICoMST), 60., 2014, Punta del Este, Uruguay. Proceedings... Montevideo: INIA, 2014.| Biblioteca(s): INIA Tacuarembó. |
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| 75. | | DEL CAMPO, M.; BRITO, G.; DE OLIVEIRA COSTA, F.; VERGARA, E.; ANCHAÑO, E.; FRUGONI, J.; BOTTERO, S.; LEVRATTO, J.; RODRIGUEZ, H.; HERNANDEZ, S.; ESCAYOLA, A.; OLIVERA, P. II. Efecto del manejo previo a la faena sobre el bienestar animal y la calidad de producto. Año 2. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. p. 539-554 (Serie Técnica; 217)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 76. | | PELLECCHIA, A.J.R.; BRAGA, J.S.; BORGES, T.D.; PÁSCOA, A.G.; PARANHOS DA COSTA, M.J.R.; DEL CAMPO, M. A survey about the number and age of bruises in bovine carcasses: effect of animal category. In: INTERNATIONAL CONGRESS OF MEAT SCIENCE AND TECHNOLOGY (ICoMST), 60., 2014, Punta del Este, Uruguay. Proceedings... Montevideo: INIA, 2014.| Biblioteca(s): INIA Tacuarembó. |
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| 77. | | MONTOSSI, F.; FONT-I-FURNOLS, M.; DEL CAMPO, M.; SAN JULIAN, R.; BRITO, G.; SAÑUDO, C. Producción sostenible de carne ovina y las tendencias en las preferencias de los consumidores: compatibilidades, contradicciones y dilemas sin resolver. In:SARAVIA, H.; AYALA, W.; BARRIOS, E. (Ed.). Seminario de actualización técnica: producción de carne ovina de calidad. Montevideo (UY) : Montevideo (UY) : INIA, 2014. p. 1-44 (Serie Técnica; 221)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| 79. | | PARANHOS DA COSTA, M.J.R.; PELLECCHIA, A.J.R.; JANAINA S. BRAGA; BORGES, T.D.; PÁSCOA, A.G.; DEL CAMPO, M. Risks (odds ratios) of bruises on cattle carcasses in different animal categories: preliminary results. In: INTERNATIONAL CONGRESS OF MEAT SCIENCE AND TECHNOLOGY (ICoMST), 60., 2014, Punta del Este, Uruguay. Proceedings... Montevideo: INIA, 2014.| Biblioteca(s): INIA Tacuarembó. |
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| 80. | | BRITO, G.; LAGOMARSINO, X.; SAN JULIAN, R.; DEL CAMPO, M. Efecto de diferentes sistemas de producción en el crecimiento animal, la calidad de la canal y la carne en novillos de cruza británica. In: MONTOSSI, F. (Ed.). Invernada de precisión: Pasturas, Calidad de Carne, Genética, Gestión Empresarial e Impacto Ambiental (GIPROCAR II) Montevideo (UY): INIA, 2013. p. 137-153 (Serie Técnica; 211)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| Registros recuperados : 146 | |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
03/08/2021 |
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Actualizado : |
02/09/2022 |
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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 : |
GASO, D.; DE WIT, A.; BERGER, A.; KOOISTRA, L. |
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Afiliación : |
DEBORAH VIVIANA GASO MELGAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALLARD DE WIT, Wageningen Environmental Research, Wageningen 6708 PB, The Netherlands.; ANDRES GUSTAVO BERGER RICCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LAMMERT KOOISTRA, Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Wageningen 6708 PB, Netherlands. |
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Título : |
Predicting within-field soybean yield variability by coupling Sentinel-2 leaf area index with a crop growth model. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Agricultural and Forest Meteorology, 2021, Volumes 308-309, article 108553. OPEN ACCESS. Doi: https://doi.org/10.1016/j.agrformet.2021.108553 |
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DOI : |
10.1016/j.agrformet.2021.108553 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 15 February 2021, Revised 3 June 2021, Accepted 9 July 2021, Available online 22 July 2021. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
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Contenido : |
ABSTRACT: Accurate within-field yield estimation is an essential step to conduct yield gap analysis and steer crop management towards more efficient use of resources. This study aims to develop and validate a process-based soybean model and to predict within-field yield variability by coupling leaf area index (LAI) retrieval from Sentinel-2 into the crop model. First, a soybean model is presented, which was successfully validated with field observations of total aboveground biomass, LAI and yield from seven contrasting field campaigns with strongly varying conditions. Within-field yield predictions were achieved by combining the model and the observations of LAI through an assimilation strategy. Four model parameters were chosen to optimize against the LAI curve: soil
depth, field capacity, initial LAI and nitrogen translocated from leaves to seed. Six fields were used to evaluate the methodology (21175 pixels). The accuracy assessment was conducted on a pixel-by-pixel basis using high density of information from the yield monitor. The overall accuracy quantified by the relative root mean square error (rRMSE) ranged from 28 to 51% (overall rRMSE 35.8%) across the studied fields. The Lee statistics index ranged from 0.61 to 0.71, confirming a high level of similarity between observed and simulated yield maps. Therefore, the methodology was capable of representing the observed spatial patterns of yield. Furthermore, the high consistency of the optimized WHC reflects the value of the assimilation data strategy to spatialize this relevant characteristic. Some challenges were identified for further study to reduce the sources of uncertainty and improve accuracy: i) the inability of the model to reallocate biomass by simulating plant response to source limitation, ii) the generalization of empirical algorithms to retrieve LAI, and iii) the exploration of an updating method as an assimilation strategy to overcome discrepancy between simulated and retrieved LAI. MenosABSTRACT: Accurate within-field yield estimation is an essential step to conduct yield gap analysis and steer crop management towards more efficient use of resources. This study aims to develop and validate a process-based soybean model and to predict within-field yield variability by coupling leaf area index (LAI) retrieval from Sentinel-2 into the crop model. First, a soybean model is presented, which was successfully validated with field observations of total aboveground biomass, LAI and yield from seven contrasting field campaigns with strongly varying conditions. Within-field yield predictions were achieved by combining the model and the observations of LAI through an assimilation strategy. Four model parameters were chosen to optimize against the LAI curve: soil
depth, field capacity, initial LAI and nitrogen translocated from leaves to seed. Six fields were used to evaluate the methodology (21175 pixels). The accuracy assessment was conducted on a pixel-by-pixel basis using high density of information from the yield monitor. The overall accuracy quantified by the relative root mean square error (rRMSE) ranged from 28 to 51% (overall rRMSE 35.8%) across the studied fields. The Lee statistics index ranged from 0.61 to 0.71, confirming a high level of similarity between observed and simulated yield maps. Therefore, the methodology was capable of representing the observed spatial patterns of yield. Furthermore, the high consistency of the optimized WHC reflects the valu... Presentar Todo |
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Palabras claves : |
Crop growth model; Data assimilation; Sentinel-2; Soybean; Yield prediction. |
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Thesagro : |
Soja. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16670/1/1-s2.0-S0168192321002379-main.pdf
https://www.sciencedirect.com/science/article/pii/S0168192321002379/pdfft?md5=c4c224be450c53eba73eada140b04cc2&pid=1-s2.0-S0168192321002379-main.pdf
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Marc : |
LEADER 03060naa a2200253 a 4500
001 1062331
005 2022-09-02
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1016/j.agrformet.2021.108553$2DOI
100 1 $aGASO, D.
245 $aPredicting within-field soybean yield variability by coupling Sentinel-2 leaf area index with a crop growth model.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 15 February 2021, Revised 3 June 2021, Accepted 9 July 2021, Available online 22 July 2021. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
520 $aABSTRACT: Accurate within-field yield estimation is an essential step to conduct yield gap analysis and steer crop management towards more efficient use of resources. This study aims to develop and validate a process-based soybean model and to predict within-field yield variability by coupling leaf area index (LAI) retrieval from Sentinel-2 into the crop model. First, a soybean model is presented, which was successfully validated with field observations of total aboveground biomass, LAI and yield from seven contrasting field campaigns with strongly varying conditions. Within-field yield predictions were achieved by combining the model and the observations of LAI through an assimilation strategy. Four model parameters were chosen to optimize against the LAI curve: soil depth, field capacity, initial LAI and nitrogen translocated from leaves to seed. Six fields were used to evaluate the methodology (21175 pixels). The accuracy assessment was conducted on a pixel-by-pixel basis using high density of information from the yield monitor. The overall accuracy quantified by the relative root mean square error (rRMSE) ranged from 28 to 51% (overall rRMSE 35.8%) across the studied fields. The Lee statistics index ranged from 0.61 to 0.71, confirming a high level of similarity between observed and simulated yield maps. Therefore, the methodology was capable of representing the observed spatial patterns of yield. Furthermore, the high consistency of the optimized WHC reflects the value of the assimilation data strategy to spatialize this relevant characteristic. Some challenges were identified for further study to reduce the sources of uncertainty and improve accuracy: i) the inability of the model to reallocate biomass by simulating plant response to source limitation, ii) the generalization of empirical algorithms to retrieve LAI, and iii) the exploration of an updating method as an assimilation strategy to overcome discrepancy between simulated and retrieved LAI.
650 $aSoja
653 $aCrop growth model
653 $aData assimilation
653 $aSentinel-2
653 $aSoybean
653 $aYield prediction
700 1 $aDE WIT, A.
700 1 $aBERGER, A.
700 1 $aKOOISTRA, L.
773 $tAgricultural and Forest Meteorology, 2021, Volumes 308-309, article 108553. OPEN ACCESS. Doi: https://doi.org/10.1016/j.agrformet.2021.108553
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