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Registro completo
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Biblioteca (s) : |
INIA Las Brujas; INIA Treinta y Tres. |
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Fecha : |
23/07/2021 |
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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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Autor : |
DEVINCENZI, T.; JAURENA, M.; DURANTE, M.; SAVIAN, J.V.; CIAPPESONI, G.; NAVAJAS, E.; CIGANDA, V.; LATTANZI, F.; PARUELO, J. |
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Afiliación : |
THAIS DEVINCENZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN ALEJANDRO JAURENA BARRIOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTÍN DURANTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Instituto Nacional de Tecnología Agropecuaria, Estación Experimental Agropecuaria INTA Concepción Del Uruguay, Concepción del Uruguay, Argentina; JEAN VICTOR SAVIAN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VERONICA SOLANGE CIGANDA BRASCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO A. LATTANZI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Building the GLENCOE Platform -Grasslands LENding eConomic and ecOsystems sErvices. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Frontiers in Sustainable Food Systems, June 2021, volume 516, Article 547301. OPEN ACCESS. Doi: https://doi.org/10.3389/fsufs.2021.547301 |
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ISSN : |
2571-581X |
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DOI : |
10.3389/fsufs.2021.547301 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 31 March 2020, Accepted 26 April 2021, Published 16 June 2021.
Edited by: Iain James Gordon, Australian National University, Australia. Reviewed by: Karl Behrendt, Harper Adams University, United Kingdom; Kamaljit Kaur Sangha, Charles Darwin University, Australia.
This article is part of the research topic: Grazing in Future Multi-scapes: From Thought scapes to Landscapes, Creating Health from the Ground Up (Url: https://www.frontiersin.org/research-topics/11179/grazing-in-future-multi-scapes-from-thoughtscapes-to-landscapes-creating-health-from-the-ground-up#articles)
Correspondence: Devincenzi, T.; Instituto Nacional de Investigación Agropecuaria (INIA), Programa Producción de Carne y Lana, Estación Experimental INIA Tacuarembó, Tacuarembó, Uruguay; email: tdevincenzi@inia.org.uy |
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Contenido : |
ABSTRACT - To feed the rising population whilst also preserving ecosystem functions, creative solutions are needed for the ecological intensification of natural grassland-based livestock systems. In Uruguay, natural grasslands are the main nutritional resource for livestock production. In these ecosystems, cattle and sheep graze together all the year round, and grasslands are frequently heavily grazed. Considerable research has been generated concerning grassland management, but there is still no knowledge about the impact of decision rules that supports management actions on long-term ecosystem functioning, at the system level. To meet this deficit, a participatory working group of farmers, researchers, and consultants have developed the GLENCOE platform. This platform is a large-scale facility, supported by INIA-Uruguay, designed to answer the following question: How to intensify the grazing management to improve the sustainability of livestock systems based on natural grasslands? To build the platform three steps were followed: (I) definition of the research problem using a problem tree analysis; (ii) conceptualization of the platform and the design of the grazing systems to be evaluated; and, (iii) spatial allocation of the grazing systems according to the variability of soil, slopes, and seasonal dynamic of vegetation indexes. These criteria were considered across farmlets that were equivalent in the initial stage, allowing causal inferences for the systems trajectories on productive and environmental traits. The platform is composed of three independent farmlets of 50 ha each, where multiparous Hereford cows and Merinos wethers co-graze under three grazing management systems. Each farmlet is managed according to different spatio-temporal decisions of the specific management of vegetation communities, grazing methods, and the stockpile of forage that is allowed by the number of the existing paddocks. Farmlet-1; comprises less decisions (2 paddocks), Farmlet-2; intermediate (8 paddocks), and Farmlet-3; high level of decisions (32 paddocks). This innovative platform will be used as a participatory and interdisciplinary space for research and co-learning of management on processes that can only be observed in long-term evaluations, and at farmlet scale. We expect that this new approach will contribute to the developement and implemention of sustainable grazing management systems in Uruguay.
© Copyright © 2021 Devincenzi, Jaurena, Durante, Savian, Ciappesoni, Navajas, Ciganda, Lattanzi and Paruelo. MenosABSTRACT - To feed the rising population whilst also preserving ecosystem functions, creative solutions are needed for the ecological intensification of natural grassland-based livestock systems. In Uruguay, natural grasslands are the main nutritional resource for livestock production. In these ecosystems, cattle and sheep graze together all the year round, and grasslands are frequently heavily grazed. Considerable research has been generated concerning grassland management, but there is still no knowledge about the impact of decision rules that supports management actions on long-term ecosystem functioning, at the system level. To meet this deficit, a participatory working group of farmers, researchers, and consultants have developed the GLENCOE platform. This platform is a large-scale facility, supported by INIA-Uruguay, designed to answer the following question: How to intensify the grazing management to improve the sustainability of livestock systems based on natural grasslands? To build the platform three steps were followed: (I) definition of the research problem using a problem tree analysis; (ii) conceptualization of the platform and the design of the grazing systems to be evaluated; and, (iii) spatial allocation of the grazing systems according to the variability of soil, slopes, and seasonal dynamic of vegetation indexes. These criteria were considered across farmlets that were equivalent in the initial stage, allowing causal inferences for the systems trajectories... Presentar Todo |
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Palabras claves : |
Beef-cattle; Campos grasslands; Mixed-grazing; Rangelands; Sustainable intensification. |
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Asunto categoría : |
L02 Alimentación animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16658/1/fsufs-05-547301.pdf
https://www.frontiersin.org/articles/10.3389/fsufs.2021.547301/pdf
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Marc : |
LEADER 04320naa a2200313 a 4500
001 1062321
005 2022-09-02
008 2021 bl uuuu u00u1 u #d
022 $a2571-581X
024 7 $a10.3389/fsufs.2021.547301$2DOI
100 1 $aDEVINCENZI, T.
245 $aBuilding the GLENCOE Platform -Grasslands LENding eConomic and ecOsystems sErvices.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 31 March 2020, Accepted 26 April 2021, Published 16 June 2021. Edited by: Iain James Gordon, Australian National University, Australia. Reviewed by: Karl Behrendt, Harper Adams University, United Kingdom; Kamaljit Kaur Sangha, Charles Darwin University, Australia. This article is part of the research topic: Grazing in Future Multi-scapes: From Thought scapes to Landscapes, Creating Health from the Ground Up (Url: https://www.frontiersin.org/research-topics/11179/grazing-in-future-multi-scapes-from-thoughtscapes-to-landscapes-creating-health-from-the-ground-up#articles) Correspondence: Devincenzi, T.; Instituto Nacional de Investigación Agropecuaria (INIA), Programa Producción de Carne y Lana, Estación Experimental INIA Tacuarembó, Tacuarembó, Uruguay; email: tdevincenzi@inia.org.uy
520 $aABSTRACT - To feed the rising population whilst also preserving ecosystem functions, creative solutions are needed for the ecological intensification of natural grassland-based livestock systems. In Uruguay, natural grasslands are the main nutritional resource for livestock production. In these ecosystems, cattle and sheep graze together all the year round, and grasslands are frequently heavily grazed. Considerable research has been generated concerning grassland management, but there is still no knowledge about the impact of decision rules that supports management actions on long-term ecosystem functioning, at the system level. To meet this deficit, a participatory working group of farmers, researchers, and consultants have developed the GLENCOE platform. This platform is a large-scale facility, supported by INIA-Uruguay, designed to answer the following question: How to intensify the grazing management to improve the sustainability of livestock systems based on natural grasslands? To build the platform three steps were followed: (I) definition of the research problem using a problem tree analysis; (ii) conceptualization of the platform and the design of the grazing systems to be evaluated; and, (iii) spatial allocation of the grazing systems according to the variability of soil, slopes, and seasonal dynamic of vegetation indexes. These criteria were considered across farmlets that were equivalent in the initial stage, allowing causal inferences for the systems trajectories on productive and environmental traits. The platform is composed of three independent farmlets of 50 ha each, where multiparous Hereford cows and Merinos wethers co-graze under three grazing management systems. Each farmlet is managed according to different spatio-temporal decisions of the specific management of vegetation communities, grazing methods, and the stockpile of forage that is allowed by the number of the existing paddocks. Farmlet-1; comprises less decisions (2 paddocks), Farmlet-2; intermediate (8 paddocks), and Farmlet-3; high level of decisions (32 paddocks). This innovative platform will be used as a participatory and interdisciplinary space for research and co-learning of management on processes that can only be observed in long-term evaluations, and at farmlet scale. We expect that this new approach will contribute to the developement and implemention of sustainable grazing management systems in Uruguay. © Copyright © 2021 Devincenzi, Jaurena, Durante, Savian, Ciappesoni, Navajas, Ciganda, Lattanzi and Paruelo.
653 $aBeef-cattle
653 $aCampos grasslands
653 $aMixed-grazing
653 $aRangelands
653 $aSustainable intensification
700 1 $aJAURENA, M.
700 1 $aDURANTE, M.
700 1 $aSAVIAN, J.V.
700 1 $aCIAPPESONI, G.
700 1 $aNAVAJAS, E.
700 1 $aCIGANDA, V.
700 1 $aLATTANZI, F.
700 1 $aPARUELO, J.
773 $tFrontiers in Sustainable Food Systems, June 2021, volume 516, Article 547301. OPEN ACCESS. Doi: https://doi.org/10.3389/fsufs.2021.547301
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
15/03/2023 |
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Actualizado : |
15/03/2023 |
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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 : |
MORALES-PIÑEYRUA, J.; SANT’ANNA, A. C.; BANCHERO, G.; DAMIÁN, J. P. |
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Afiliación : |
JESSICA TATIANA MORALES PIÑEYRUA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ALINE CRISTINA SANT’ANNA, Departamento de Zoologia, Instituto de Ciências Biológicas, Universidade Federal de Juiz de Fora, MG, Juiz de Fora, 36036-900, Brazil; GEORGGET ELIZABETH BANCHERO HUNZIKER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JUAN PABLO DAMIÁN, Departamento de Biociencias Veterinarias, Facultad de Veterinaria, Universidad de la República, Ruta 8 km 18, Montevideo, 13000, Uruguay. |
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Título : |
Dairy cows' temperament and milking performance during the adaptation to an automatic milking system. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Animals, 2023, volume 13, Issue 4, Article 562. OPEN ACCESS. doi: https://doi.org/10.3390/ani13040562 |
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ISSN : |
2076-2615 |
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DOI : |
10.3390/ani13040562 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 29 December 2022, Revised 23 January 2023, Accepted 28 January 2023, Published: 5 February 2023. -- Corresponde author:
Morales-Piñeyrúa, J.T.; Programa Nacional de Producción de Leche, Estación Experimental INIA La Estanzuela, Instituto Nacional de Investigación Agropecuaria (INIA), Ruta 50 km 11, Colonia, Uruguay; email:jmorales@inia.org.uy -- FUNDING: This research was funded by the Instituto Nacional de Investigación Agropecuaria (INIA, Route 50, km 11, Colonia, Uruguay (Grant No. N-23765 PL_25_0_00)) and the Agencia Nacional de Investigación e Innovación (ANII, Av. Italia 6201, Montevideo, Uruguay (Grant No. POS_NAC_ _2018_1_151523)). -- This article belongs to the Collection Welfare of Animals in Livestock Production Systems and at Slaughter (https://www.mdpi.com/journal/animals/topical_collections/Welfare_of_Animals_in_Livestock_Production_Systems_and_at_Slaughter ) -- |
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Contenido : |
Adaptative responses of cows to an automatic milking system (AMS) could depend on their temperament, i.e., cows with certain temperament profiles could be able to cope more successfully with the AMS. The relationships between dairy cows' temperament, behaviour, and productive parameters during the changeover from a conventional milking system (CMS) to an AMS were investigated. Thirty-three multiparous cows were classified as 'calm' or 'reactive' based on each of the temperament tests conducted: race time, flight speed (FS), and flight distance, at 5, 25, and 45 days in milk at CMS, then the cows were moved from the CMS to the AMS. During the first five milkings in AMS, the number of steps and kicks during each milking were recorded. The daily milk yield was automatically recorded. The number of steps did not vary by temperament classification, but the number of kicks per milking was greater for calm (0.45 ± 0.14) than for reactive cows (0.05 ± 0.03) when they were classified by FS (p < 0.01). During the first seven days in the AMS, reactive cows for the FS test produced more milk than calm cows (36.5 ± 1.8 vs. 33.2 ± 1.6 L/day; p = 0.05). In conclusion, behavioural and productive parameters were influenced by cows´ temperament during the milking system changeover since the calm cows kicked more and produced less than the reactive ones. © 2023 by the authors. |
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Palabras claves : |
Animal welfare; Parlour; Personality; Robot; Stress. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
https://www.mdpi.com/2076-2615/13/4/562/pdf
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Marc : |
LEADER 03073naa a2200253 a 4500
001 1063979
005 2023-03-15
008 2023 bl uuuu u00u1 u #d
022 $a2076-2615
024 7 $a10.3390/ani13040562$2DOI
100 1 $aMORALES-PIÑEYRUA, J.
245 $aDairy cows' temperament and milking performance during the adaptation to an automatic milking system.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 29 December 2022, Revised 23 January 2023, Accepted 28 January 2023, Published: 5 February 2023. -- Corresponde author: Morales-Piñeyrúa, J.T.; Programa Nacional de Producción de Leche, Estación Experimental INIA La Estanzuela, Instituto Nacional de Investigación Agropecuaria (INIA), Ruta 50 km 11, Colonia, Uruguay; email:jmorales@inia.org.uy -- FUNDING: This research was funded by the Instituto Nacional de Investigación Agropecuaria (INIA, Route 50, km 11, Colonia, Uruguay (Grant No. N-23765 PL_25_0_00)) and the Agencia Nacional de Investigación e Innovación (ANII, Av. Italia 6201, Montevideo, Uruguay (Grant No. POS_NAC_ _2018_1_151523)). -- This article belongs to the Collection Welfare of Animals in Livestock Production Systems and at Slaughter (https://www.mdpi.com/journal/animals/topical_collections/Welfare_of_Animals_in_Livestock_Production_Systems_and_at_Slaughter ) --
520 $aAdaptative responses of cows to an automatic milking system (AMS) could depend on their temperament, i.e., cows with certain temperament profiles could be able to cope more successfully with the AMS. The relationships between dairy cows' temperament, behaviour, and productive parameters during the changeover from a conventional milking system (CMS) to an AMS were investigated. Thirty-three multiparous cows were classified as 'calm' or 'reactive' based on each of the temperament tests conducted: race time, flight speed (FS), and flight distance, at 5, 25, and 45 days in milk at CMS, then the cows were moved from the CMS to the AMS. During the first five milkings in AMS, the number of steps and kicks during each milking were recorded. The daily milk yield was automatically recorded. The number of steps did not vary by temperament classification, but the number of kicks per milking was greater for calm (0.45 ± 0.14) than for reactive cows (0.05 ± 0.03) when they were classified by FS (p < 0.01). During the first seven days in the AMS, reactive cows for the FS test produced more milk than calm cows (36.5 ± 1.8 vs. 33.2 ± 1.6 L/day; p = 0.05). In conclusion, behavioural and productive parameters were influenced by cows´ temperament during the milking system changeover since the calm cows kicked more and produced less than the reactive ones. © 2023 by the authors.
653 $aAnimal welfare
653 $aParlour
653 $aPersonality
653 $aRobot
653 $aStress
700 1 $aSANT’ANNA, A. C.
700 1 $aBANCHERO, G.
700 1 $aDAMIÁN, J. P.
773 $tAnimals, 2023, volume 13, Issue 4, Article 562. OPEN ACCESS. doi: https://doi.org/10.3390/ani13040562
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