Beef Cattle Grazing Native Grasslands May Follow Three Different Supplement Response Patterns
- Autores
- Cazzuli, Fiorella; Durante, Martin; Hirigoyen, Andrés; Sánchez, Javier; Rovira, Pablo; Beretta, Virginia; Simeone, Alvaro; Jaurena, Martín; Savian, Jean Víctor; Poppi, Dennis; Montossi, Fabio; Lagomarsino, Ximena; Luzardo, Santiago; Brito, Gustavo; Velazco, José Ignacio; Lattanzi, Fernando Alfredo; Bremm, Carolina
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Previous studies on winter supplementation of growing cattle grazing stockpiled native Campos grasslands suggest that forage allowance (FA), herbage mass, and weather conditions before and during the supplementation period could all affect supplement feed efficiency (SFE)—that is, the difference or change in average daily gain (ADG) between supplemented (S) and control (C) animals (ADGchng, kg) per unit (kg) of supplement dry matter (DM) intake. In this study, we analyse data from fifteen collated winter supplementation trials carried out in Uruguay between 2004 and 2018. The working hypotheses of this research paper were: (i) that average substitution rates are positive, and (ii) that ADGchng is not constant throughout the supplementation period and that its variation may be attributed to sward, animal or weather variables. There were two main objectives: (i) to estimate the average supplement substitution rate (sSbR, kg forage, f, dry matter, DM intake reduction: kg supplement DM intake) and potential herbage intake substitution rate (hSbR, kg fDM intake reduction: kg fDM intake of control animals), and its association with SFE, and, (ii) to assess the existence of different phases and supplementation response patterns and its association with other relevant variables. Estimated substitution rates were always positive (sSbR = 0.3–1.1 kg/kg; hSbR = 0.1–0.3 kg/kg) and were negatively and moderately associated with SFE. Supplementation proved to be a dynamic process where three possible supplementation responses over the supplementation period were identified (linear, quadratic and Weibull). While linear patterns did not appear distinctly associated with any particular set of variables, quadratic models were mostly associated with herbage biomass and substitution rates, whereas Weibull models were the clearest in their association with frosts. Regardless of the response pattern, at the beginning of the trials it was the animals’ body weight and supplement quality that most influenced supplement response, whereas towards the end, supplementation intake, supplemented animals’ ADG and forage quality played a more relevant role. The estimated parameters and response patterns are expected to be used as inputs in decision support systems for livestock farmers in the future.
EEA Concepción del Uruguay
Fil: Cazzuli, Fiorella. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Tacuarembó; Uruguay
Fil: Durante, Martin. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentina
Fil: Durante, Martin. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Tacuarembó; Uruguay
Fil: Hirigoyen, Andrés. Instituto Nacional de Investigación Agropecuaria (INIA). Área Forestal. Estación Experimental INIA Tacuarembó; Uruguay
Fil: Sánchez, Javier. University of Prince Edward Island. Atlantic Veterinary College. Department of Health Management; Canadá
Fil: Rovira, Pablo. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Treinta y Tres; Uruguay
Fil: Beretta, Virginia. Universidad de la República. Animal Science Department; Uruguay
Fil: Simeone, Alvaro. Universidad de la República. Animal Science Department; Uruguay
Fil: Jaurena, Martín. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Tacuarembó; Uruguay
Fil: Savian, Jean Víctor. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Treinta y Tres; Uruguay
Fil: Poppi, Dennis. The University of Queensland. School of Agriculture and Food Sciences; Australia
Fil: Montossi, Fabio. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Tacuarembó; Uruguay
Fil: Lagomarsino, Ximena. Universidad de la Empresa. Facultad de Ciencias Agrarias; Uruguay
Fil: Luzardo, Santiago. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Tacuarembó; Uruguay
Fil: Brito, Gustavo. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Tacuarembó; Uruguay
Fil: Velazco, José Ignacio. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Treinta y Tres; Uruguay
Fil: Lattanzi, Fernando Alfredo. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA La Estanzuela; Uruguay
Fil: Bremm, Carolina. Federal University of Rio Grande do Sul. Grazing Ecology Research Group; Brasil - Fuente
- Grasses 2 (3) : 168-184. (Agosto de 2023)
- Materia
-
Ganado de Carne
Pastoreo
Alimentación Complementaria
Invierno
Beef Cattle
Grazing
Food Supplementation
Winter
Uruguay - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/15002
Ver los metadatos del registro completo
| id |
INTADig_0c1e7093f6c1d1ca0a559b9c24157e42 |
|---|---|
| oai_identifier_str |
oai:localhost:20.500.12123/15002 |
| network_acronym_str |
INTADig |
| repository_id_str |
l |
| network_name_str |
INTA Digital (INTA) |
| spelling |
Beef Cattle Grazing Native Grasslands May Follow Three Different Supplement Response PatternsCazzuli, FiorellaDurante, MartinHirigoyen, AndrésSánchez, JavierRovira, PabloBeretta, VirginiaSimeone, AlvaroJaurena, MartínSavian, Jean VíctorPoppi, DennisMontossi, FabioLagomarsino, XimenaLuzardo, SantiagoBrito, GustavoVelazco, José IgnacioLattanzi, Fernando AlfredoBremm, CarolinaGanado de CarnePastoreoAlimentación ComplementariaInviernoBeef CattleGrazingFood SupplementationWinterUruguayPrevious studies on winter supplementation of growing cattle grazing stockpiled native Campos grasslands suggest that forage allowance (FA), herbage mass, and weather conditions before and during the supplementation period could all affect supplement feed efficiency (SFE)—that is, the difference or change in average daily gain (ADG) between supplemented (S) and control (C) animals (ADGchng, kg) per unit (kg) of supplement dry matter (DM) intake. In this study, we analyse data from fifteen collated winter supplementation trials carried out in Uruguay between 2004 and 2018. The working hypotheses of this research paper were: (i) that average substitution rates are positive, and (ii) that ADGchng is not constant throughout the supplementation period and that its variation may be attributed to sward, animal or weather variables. There were two main objectives: (i) to estimate the average supplement substitution rate (sSbR, kg forage, f, dry matter, DM intake reduction: kg supplement DM intake) and potential herbage intake substitution rate (hSbR, kg fDM intake reduction: kg fDM intake of control animals), and its association with SFE, and, (ii) to assess the existence of different phases and supplementation response patterns and its association with other relevant variables. Estimated substitution rates were always positive (sSbR = 0.3–1.1 kg/kg; hSbR = 0.1–0.3 kg/kg) and were negatively and moderately associated with SFE. Supplementation proved to be a dynamic process where three possible supplementation responses over the supplementation period were identified (linear, quadratic and Weibull). While linear patterns did not appear distinctly associated with any particular set of variables, quadratic models were mostly associated with herbage biomass and substitution rates, whereas Weibull models were the clearest in their association with frosts. Regardless of the response pattern, at the beginning of the trials it was the animals’ body weight and supplement quality that most influenced supplement response, whereas towards the end, supplementation intake, supplemented animals’ ADG and forage quality played a more relevant role. The estimated parameters and response patterns are expected to be used as inputs in decision support systems for livestock farmers in the future.EEA Concepción del UruguayFil: Cazzuli, Fiorella. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Tacuarembó; UruguayFil: Durante, Martin. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; ArgentinaFil: Durante, Martin. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Tacuarembó; UruguayFil: Hirigoyen, Andrés. Instituto Nacional de Investigación Agropecuaria (INIA). Área Forestal. Estación Experimental INIA Tacuarembó; UruguayFil: Sánchez, Javier. University of Prince Edward Island. Atlantic Veterinary College. Department of Health Management; CanadáFil: Rovira, Pablo. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Treinta y Tres; UruguayFil: Beretta, Virginia. Universidad de la República. Animal Science Department; UruguayFil: Simeone, Alvaro. Universidad de la República. Animal Science Department; UruguayFil: Jaurena, Martín. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Tacuarembó; UruguayFil: Savian, Jean Víctor. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Treinta y Tres; UruguayFil: Poppi, Dennis. The University of Queensland. School of Agriculture and Food Sciences; AustraliaFil: Montossi, Fabio. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Tacuarembó; UruguayFil: Lagomarsino, Ximena. Universidad de la Empresa. Facultad de Ciencias Agrarias; UruguayFil: Luzardo, Santiago. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Tacuarembó; UruguayFil: Brito, Gustavo. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Tacuarembó; UruguayFil: Velazco, José Ignacio. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Treinta y Tres; UruguayFil: Lattanzi, Fernando Alfredo. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA La Estanzuela; UruguayFil: Bremm, Carolina. Federal University of Rio Grande do Sul. Grazing Ecology Research Group; BrasilMDPI2023-08-24T12:10:28Z2023-08-24T12:10:28Z2023-08-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/15002https://www.mdpi.com/2813-3463/2/3/142813-3463https://doi.org/10.3390/grasses2030014Grasses 2 (3) : 168-184. (Agosto de 2023)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-09-29T13:46:03Zoai:localhost:20.500.12123/15002instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:46:03.792INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
| dc.title.none.fl_str_mv |
Beef Cattle Grazing Native Grasslands May Follow Three Different Supplement Response Patterns |
| title |
Beef Cattle Grazing Native Grasslands May Follow Three Different Supplement Response Patterns |
| spellingShingle |
Beef Cattle Grazing Native Grasslands May Follow Three Different Supplement Response Patterns Cazzuli, Fiorella Ganado de Carne Pastoreo Alimentación Complementaria Invierno Beef Cattle Grazing Food Supplementation Winter Uruguay |
| title_short |
Beef Cattle Grazing Native Grasslands May Follow Three Different Supplement Response Patterns |
| title_full |
Beef Cattle Grazing Native Grasslands May Follow Three Different Supplement Response Patterns |
| title_fullStr |
Beef Cattle Grazing Native Grasslands May Follow Three Different Supplement Response Patterns |
| title_full_unstemmed |
Beef Cattle Grazing Native Grasslands May Follow Three Different Supplement Response Patterns |
| title_sort |
Beef Cattle Grazing Native Grasslands May Follow Three Different Supplement Response Patterns |
| dc.creator.none.fl_str_mv |
Cazzuli, Fiorella Durante, Martin Hirigoyen, Andrés Sánchez, Javier Rovira, Pablo Beretta, Virginia Simeone, Alvaro Jaurena, Martín Savian, Jean Víctor Poppi, Dennis Montossi, Fabio Lagomarsino, Ximena Luzardo, Santiago Brito, Gustavo Velazco, José Ignacio Lattanzi, Fernando Alfredo Bremm, Carolina |
| author |
Cazzuli, Fiorella |
| author_facet |
Cazzuli, Fiorella Durante, Martin Hirigoyen, Andrés Sánchez, Javier Rovira, Pablo Beretta, Virginia Simeone, Alvaro Jaurena, Martín Savian, Jean Víctor Poppi, Dennis Montossi, Fabio Lagomarsino, Ximena Luzardo, Santiago Brito, Gustavo Velazco, José Ignacio Lattanzi, Fernando Alfredo Bremm, Carolina |
| author_role |
author |
| author2 |
Durante, Martin Hirigoyen, Andrés Sánchez, Javier Rovira, Pablo Beretta, Virginia Simeone, Alvaro Jaurena, Martín Savian, Jean Víctor Poppi, Dennis Montossi, Fabio Lagomarsino, Ximena Luzardo, Santiago Brito, Gustavo Velazco, José Ignacio Lattanzi, Fernando Alfredo Bremm, Carolina |
| author2_role |
author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Ganado de Carne Pastoreo Alimentación Complementaria Invierno Beef Cattle Grazing Food Supplementation Winter Uruguay |
| topic |
Ganado de Carne Pastoreo Alimentación Complementaria Invierno Beef Cattle Grazing Food Supplementation Winter Uruguay |
| dc.description.none.fl_txt_mv |
Previous studies on winter supplementation of growing cattle grazing stockpiled native Campos grasslands suggest that forage allowance (FA), herbage mass, and weather conditions before and during the supplementation period could all affect supplement feed efficiency (SFE)—that is, the difference or change in average daily gain (ADG) between supplemented (S) and control (C) animals (ADGchng, kg) per unit (kg) of supplement dry matter (DM) intake. In this study, we analyse data from fifteen collated winter supplementation trials carried out in Uruguay between 2004 and 2018. The working hypotheses of this research paper were: (i) that average substitution rates are positive, and (ii) that ADGchng is not constant throughout the supplementation period and that its variation may be attributed to sward, animal or weather variables. There were two main objectives: (i) to estimate the average supplement substitution rate (sSbR, kg forage, f, dry matter, DM intake reduction: kg supplement DM intake) and potential herbage intake substitution rate (hSbR, kg fDM intake reduction: kg fDM intake of control animals), and its association with SFE, and, (ii) to assess the existence of different phases and supplementation response patterns and its association with other relevant variables. Estimated substitution rates were always positive (sSbR = 0.3–1.1 kg/kg; hSbR = 0.1–0.3 kg/kg) and were negatively and moderately associated with SFE. Supplementation proved to be a dynamic process where three possible supplementation responses over the supplementation period were identified (linear, quadratic and Weibull). While linear patterns did not appear distinctly associated with any particular set of variables, quadratic models were mostly associated with herbage biomass and substitution rates, whereas Weibull models were the clearest in their association with frosts. Regardless of the response pattern, at the beginning of the trials it was the animals’ body weight and supplement quality that most influenced supplement response, whereas towards the end, supplementation intake, supplemented animals’ ADG and forage quality played a more relevant role. The estimated parameters and response patterns are expected to be used as inputs in decision support systems for livestock farmers in the future. EEA Concepción del Uruguay Fil: Cazzuli, Fiorella. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Tacuarembó; Uruguay Fil: Durante, Martin. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Concepción del Uruguay; Argentina Fil: Durante, Martin. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Tacuarembó; Uruguay Fil: Hirigoyen, Andrés. Instituto Nacional de Investigación Agropecuaria (INIA). Área Forestal. Estación Experimental INIA Tacuarembó; Uruguay Fil: Sánchez, Javier. University of Prince Edward Island. Atlantic Veterinary College. Department of Health Management; Canadá Fil: Rovira, Pablo. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Treinta y Tres; Uruguay Fil: Beretta, Virginia. Universidad de la República. Animal Science Department; Uruguay Fil: Simeone, Alvaro. Universidad de la República. Animal Science Department; Uruguay Fil: Jaurena, Martín. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Tacuarembó; Uruguay Fil: Savian, Jean Víctor. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA Treinta y Tres; Uruguay Fil: Poppi, Dennis. The University of Queensland. School of Agriculture and Food Sciences; Australia Fil: Montossi, Fabio. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Tacuarembó; Uruguay Fil: Lagomarsino, Ximena. Universidad de la Empresa. Facultad de Ciencias Agrarias; Uruguay Fil: Luzardo, Santiago. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Tacuarembó; Uruguay Fil: Brito, Gustavo. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Tacuarembó; Uruguay Fil: Velazco, José Ignacio. Instituto Nacional de Investigación Agropecuaria (INIA). Área Carne y Lana. Estación Experimental INIA Treinta y Tres; Uruguay Fil: Lattanzi, Fernando Alfredo. Instituto Nacional de Investigación Agropecuaria (INIA). Área Pasturas y Forrajes. Estación Experimental INIA La Estanzuela; Uruguay Fil: Bremm, Carolina. Federal University of Rio Grande do Sul. Grazing Ecology Research Group; Brasil |
| description |
Previous studies on winter supplementation of growing cattle grazing stockpiled native Campos grasslands suggest that forage allowance (FA), herbage mass, and weather conditions before and during the supplementation period could all affect supplement feed efficiency (SFE)—that is, the difference or change in average daily gain (ADG) between supplemented (S) and control (C) animals (ADGchng, kg) per unit (kg) of supplement dry matter (DM) intake. In this study, we analyse data from fifteen collated winter supplementation trials carried out in Uruguay between 2004 and 2018. The working hypotheses of this research paper were: (i) that average substitution rates are positive, and (ii) that ADGchng is not constant throughout the supplementation period and that its variation may be attributed to sward, animal or weather variables. There were two main objectives: (i) to estimate the average supplement substitution rate (sSbR, kg forage, f, dry matter, DM intake reduction: kg supplement DM intake) and potential herbage intake substitution rate (hSbR, kg fDM intake reduction: kg fDM intake of control animals), and its association with SFE, and, (ii) to assess the existence of different phases and supplementation response patterns and its association with other relevant variables. Estimated substitution rates were always positive (sSbR = 0.3–1.1 kg/kg; hSbR = 0.1–0.3 kg/kg) and were negatively and moderately associated with SFE. Supplementation proved to be a dynamic process where three possible supplementation responses over the supplementation period were identified (linear, quadratic and Weibull). While linear patterns did not appear distinctly associated with any particular set of variables, quadratic models were mostly associated with herbage biomass and substitution rates, whereas Weibull models were the clearest in their association with frosts. Regardless of the response pattern, at the beginning of the trials it was the animals’ body weight and supplement quality that most influenced supplement response, whereas towards the end, supplementation intake, supplemented animals’ ADG and forage quality played a more relevant role. The estimated parameters and response patterns are expected to be used as inputs in decision support systems for livestock farmers in the future. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023-08-24T12:10:28Z 2023-08-24T12:10:28Z 2023-08-07 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/15002 https://www.mdpi.com/2813-3463/2/3/14 2813-3463 https://doi.org/10.3390/grasses2030014 |
| url |
http://hdl.handle.net/20.500.12123/15002 https://www.mdpi.com/2813-3463/2/3/14 https://doi.org/10.3390/grasses2030014 |
| identifier_str_mv |
2813-3463 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
MDPI |
| publisher.none.fl_str_mv |
MDPI |
| dc.source.none.fl_str_mv |
Grasses 2 (3) : 168-184. (Agosto de 2023) reponame:INTA Digital (INTA) instname:Instituto Nacional de Tecnología Agropecuaria |
| reponame_str |
INTA Digital (INTA) |
| collection |
INTA Digital (INTA) |
| instname_str |
Instituto Nacional de Tecnología Agropecuaria |
| repository.name.fl_str_mv |
INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria |
| repository.mail.fl_str_mv |
tripaldi.nicolas@inta.gob.ar |
| _version_ |
1844619178055565312 |
| score |
12.559606 |