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| Registros recuperados : 100 | |
| 8. |  | ZANONIANI, R.; LATTANZI, F. Rol de las pasturas cultivadas en los sistemas de la región Campos. In: Reunión del Grupo Técnico en Forrajeras del Cono Sur, Grupo Campos, 24, 2017, Tacuarembó, Uruguay; Ayala, W.; Boggiano, P.; Álvarez, O.; eds. Bioma campos : Retomando un camino de oportunidades para una producción ganadera sustentable. Memorias. Tacuarembó (Uruguay): Grupo Campos, 2017. p. 24-28.| Biblioteca(s): INIA Las Brujas. |
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| 9. | | LATTANZI, F.; ZARZA, R.; CUADRO, R. Herramientas para ayudar a la toma de decisión de fertilización fosfatada de pasturas. In: JORNADA PRODUCCIÓN LECHERA, 2016, LA ESTANZUELA, COLONIA, UY.; PROGRAMA NACIONAL PRODUCCIÓN DE LECHE; PROGRAMA NACIONAL PASTURAS Y FORRAJES. Producción Lechera: Manejo de pasturas, crianza y vaca en transición. La Estanzuela, Colonia, Uruguay:INIA, 2016 p. 15-16. (INIA Serie Actividades de Difusión; 767). Apoya: INIALE (Instituto Nacional de La Leche).| Biblioteca(s): INIA La Estanzuela; INIA Tacuarembó. |
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| 15. | | GARRIDO, J.; ORTEGA, G.; FARIÑA, S.; LATTANZI, F.; CHILIBROSTE, P. Análisis comparativo de dos métodos de estimación de biomasa en pasturas. [Resumen]. En: CONGRESO ASOCIACIÓN URUGUAYA DE PRODUCCIÓN ANIMAL (6º, Marzo, 2018, Tacuarembó, Uruguay). Tacuarembó: AUPA, 2018. p. 75.| Biblioteca(s): INIA La Estanzuela. |
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| 19. | | JAURENA, M.; NABINGER, C.; GIORELLO, D.; FEDRIGO, J.; LATTANZI, F. Differential effects of nitrogen, phosphorus and water addition on native grassland seasonal ANPP stability. In: Congreso Nacional sobre Manejo de Pastizales Naturales, 7. Encuentro de Ganaderos del Pastizal del Cono Sur, 10. 5-6 Nov. 2016, Virasoro, Corrientes (Argentina). p. 117 Revista de Divulgación Técnica Agropecuaria, Agroindustrial y Ambiental Facultad de Ciencias Agrarias. UNLZ, v. 3(4) 2016.| Biblioteca(s): INIA Tacuarembó. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
12/07/2023 |
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Actualizado : |
12/07/2023 |
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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 : |
ORTEGA, G.; CHILIBROSTE, P.; GARRIDO, J.M.; WALLER, A.; FARIÑA, S.; LATTANZI, F. |
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Afiliación : |
G. ORTEGA, Facultad de Agronomía Universidad de la República, Departamento de Producción Animal, Ruta 5 km 43, Progreso, Canelones, Uruguay; PABLO CHILIBROSTE, Facultad de Agronomía Universidad de la República, Departamento de Producción Animal, Ruta 3 km 363, Paysandú, Uruguay; J. M. GARRIDO, Facultad de Agronomía Universidad de la República, Departamento de Producción Animal, Ruta 5 km 43, Progreso, Canelones, Uruguay; ALICIA CAROLINA WALLER BARCENA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SANTIAGO FARIÑA, INIA (Instituto Nacional de Investigación Agropecuaria); FERNANDO A. LATTANZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Monitoring herbage mass and pasture growth rate of large grazing areas: a comparison of the correspondence, cost and reliability of indirect methods. |
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Complemento del título : |
Crops and Soils Research Paper. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
The Journal of Agricultural Science, 2023, 1-10. https://doi.org/10.1017/S0021859623000333 -- OPEN ACCES. |
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ISSN : |
0021-8596 |
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DOI : |
10.1017/S0021859623000333 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 20 December 2022; Revised 15 May 2023; Accepted 24 May 2023; Published online by Cambridge University Press 14 June 2023. -- Correspondence author: G. Ortega; Email: gortegaconforte@gmail.com -- License: This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/) . -- FUNDING: This project was funded by the Agencia Nacional de Investigación e Innovación (ANII) and Red Tecnológica Sectorial de Lechería (RTS) (project number ANII-RTS_X_2014_1_3) who also funded post-graduate scholarship awarded to G. Ortega (POS_NAC_2018_1_151491). -- |
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Contenido : |
Timely grazing decision-making requires routine information on the herbage mass (HM) and pasture growth rate (GR). The aim of this study was to compare the correspondence, cost, and reliability of two indirect methods -the comparative yield method (COMPYLD) and the pasture-meter (CDAX)- to estimate HM and weekly GR of a 42 ha grazing area. Weekly assessments from Apr 2017 to Oct 2018 were made with both methods to estimate HM and GR of 13 individual paddocks. In addition, estimated GR were compared to aerial net primary productivity (ANPP) estimated using remote sensing (SAT). Estimated HM was 22% lower for COMPYLD than CDAX (HMCOMPYLD=33+0.78*HMCDAX, R2=0.61, CV=17%, RMSE=291 kgDM/ha). The correspondence between methods of estimated weekly GR of individual paddocks was weak (GRCDAX=0.18*GRCOMPYLD+19.1, R2=0.05, CV=73%, RMSE=21.8 kgDM/ha/d). However, when integrated in three-week moving-averages, over the complete grazing area, COMPYLD and CDAX yielded similar GR up to 35 kg DM/ha/d. Accumulating GR of the grazing area over one year resulted similar to annual SAT-estimated ANPP. These results imply that, on one hand, decisions based on nominal HM, such as target HM and grazing strip size, would need to be adjusted depending on the method, but on the other hand, decisions based in temporal trends or GR, such as size and timing of setaside areas for reserves, would be unaffected by method. Compared with COMPYLD, CDAX would be advantageous whenever high labour costs offset higher amortization, maintenance and fuel costs, provided there is an alternative in place to monitor during downtime periods. © 2023 Cambridge University Press. All rights reserved. MenosTimely grazing decision-making requires routine information on the herbage mass (HM) and pasture growth rate (GR). The aim of this study was to compare the correspondence, cost, and reliability of two indirect methods -the comparative yield method (COMPYLD) and the pasture-meter (CDAX)- to estimate HM and weekly GR of a 42 ha grazing area. Weekly assessments from Apr 2017 to Oct 2018 were made with both methods to estimate HM and GR of 13 individual paddocks. In addition, estimated GR were compared to aerial net primary productivity (ANPP) estimated using remote sensing (SAT). Estimated HM was 22% lower for COMPYLD than CDAX (HMCOMPYLD=33+0.78*HMCDAX, R2=0.61, CV=17%, RMSE=291 kgDM/ha). The correspondence between methods of estimated weekly GR of individual paddocks was weak (GRCDAX=0.18*GRCOMPYLD+19.1, R2=0.05, CV=73%, RMSE=21.8 kgDM/ha/d). However, when integrated in three-week moving-averages, over the complete grazing area, COMPYLD and CDAX yielded similar GR up to 35 kg DM/ha/d. Accumulating GR of the grazing area over one year resulted similar to annual SAT-estimated ANPP. These results imply that, on one hand, decisions based on nominal HM, such as target HM and grazing strip size, would need to be adjusted depending on the method, but on the other hand, decisions based in temporal trends or GR, such as size and timing of setaside areas for reserves, would be unaffected by method. Compared with COMPYLD, CDAX would be advantageous whenever high labour costs offset high... Presentar Todo |
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Palabras claves : |
Aerial net primary productivity; Cattle; CDAX; Comparative yield method; Milk production. |
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Asunto categoría : |
L01 Ganadería |
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URL : |
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/8FA844C9EEF4B5DAEA10063F15B9B847/S0021859623000333a.pdf
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Marc : |
LEADER 03237naa a2200277 a 4500
001 1064249
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022 $a0021-8596
024 7 $a10.1017/S0021859623000333$2DOI
100 1 $aORTEGA, G.
245 $aMonitoring herbage mass and pasture growth rate of large grazing areas$ba comparison of the correspondence, cost and reliability of indirect methods.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 20 December 2022; Revised 15 May 2023; Accepted 24 May 2023; Published online by Cambridge University Press 14 June 2023. -- Correspondence author: G. Ortega; Email: gortegaconforte@gmail.com -- License: This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/) . -- FUNDING: This project was funded by the Agencia Nacional de Investigación e Innovación (ANII) and Red Tecnológica Sectorial de Lechería (RTS) (project number ANII-RTS_X_2014_1_3) who also funded post-graduate scholarship awarded to G. Ortega (POS_NAC_2018_1_151491). --
520 $aTimely grazing decision-making requires routine information on the herbage mass (HM) and pasture growth rate (GR). The aim of this study was to compare the correspondence, cost, and reliability of two indirect methods -the comparative yield method (COMPYLD) and the pasture-meter (CDAX)- to estimate HM and weekly GR of a 42 ha grazing area. Weekly assessments from Apr 2017 to Oct 2018 were made with both methods to estimate HM and GR of 13 individual paddocks. In addition, estimated GR were compared to aerial net primary productivity (ANPP) estimated using remote sensing (SAT). Estimated HM was 22% lower for COMPYLD than CDAX (HMCOMPYLD=33+0.78*HMCDAX, R2=0.61, CV=17%, RMSE=291 kgDM/ha). The correspondence between methods of estimated weekly GR of individual paddocks was weak (GRCDAX=0.18*GRCOMPYLD+19.1, R2=0.05, CV=73%, RMSE=21.8 kgDM/ha/d). However, when integrated in three-week moving-averages, over the complete grazing area, COMPYLD and CDAX yielded similar GR up to 35 kg DM/ha/d. Accumulating GR of the grazing area over one year resulted similar to annual SAT-estimated ANPP. These results imply that, on one hand, decisions based on nominal HM, such as target HM and grazing strip size, would need to be adjusted depending on the method, but on the other hand, decisions based in temporal trends or GR, such as size and timing of setaside areas for reserves, would be unaffected by method. Compared with COMPYLD, CDAX would be advantageous whenever high labour costs offset higher amortization, maintenance and fuel costs, provided there is an alternative in place to monitor during downtime periods. © 2023 Cambridge University Press. All rights reserved.
653 $aAerial net primary productivity
653 $aCattle
653 $aCDAX
653 $aComparative yield method
653 $aMilk production
700 1 $aCHILIBROSTE, P.
700 1 $aGARRIDO, J.M.
700 1 $aWALLER, A.
700 1 $aFARIÑA, S.
700 1 $aLATTANZI, F.
773 $tThe Journal of Agricultural Science, 2023, 1-10. https://doi.org/10.1017/S0021859623000333 -- OPEN ACCES.
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