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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
18/08/2021 |
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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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Autor : |
CARAM, N.; CASALÁS, F.; SOCA, P.; ANFUSO, V.; GARCÍA-FAVRE, J.; WALLAU, M.; ZANONIANI, R.; CADENAZZI, M.; BOGGIANO, P. |
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Afiliación : |
Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la Republica, Paysandú, Uruguay.; Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la Republica, Paysandú, Uruguay; Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la Republica, Paysandú, Uruguay; VALENTIN ANFUSO ETCHEVERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la Republica, Paysandú, Uruguay; Agronomy Department, University of Florida, Gainesville.; Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la Republica, Paysandú, Uruguay.; Departamento de Biometría, Estadística y Computación, Facultad de Agronomía, Universidad de la República, Paysandú, Uruguay; Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la Republica, Paysandú, Uruguay. |
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Título : |
Configuration of daily grazing and searching of growing beef cattle in grassland: observational study. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Animal, 2021, volume 15, Issue 9, Article number 100336. Open Access. Doi: https://doi.org/10.1016/j.animal.2021.100336 |
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DOI : |
10.1016/j.animal.2021.100336 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 2 February 2021, Revised 29 June 2021, Accepted 2 July 2021. |
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Contenido : |
Abstract:
Many of the studies in Campos grasslands focus on management aspects such as the control of herbage allowance, and application of nutrients and/or overseeding with legumes. However, there is little literature on how the Campos grassland resource is utilised, especially regarding the grazing pattern and the relationship between pasture quantity and quality on daily grazing activities. The study of the ingestive behaviour in species-rich and heterogeneous native grasslands during daylight hours, and understanding how animals prioritise quality or quantity of intake in relation to pasture attributes, are important to comprehend the ingestive-digestive processes modulating the energy intake of animals and to achieve a better grazing management. Therefore, the objective was to describe and quantify the daily grazing behaviour of growing cattle grazing native pasture with different structures as a result of different management practices, and study the relationship of pasture attributes and intake through multivariate analysis. The study was carried out at the Faculty of Agronomy, Paysandú, Uruguay. Treatments were native grassland, overseeding with Trifolium pratense and Lotus tenuis + phosphorus, and native pasture + nitrogen-phosphorus. Grazing activities were discriminated into grazing, searching (defined when animals take 1?2 bites in one feeding station and then change to another feeding station and so on), ruminating and idling. The probability of time allocated to each activity was continuously measured during daylight hours (0700?1930) and was related to pasture structure and forage quality using regression tree models, while the bite rate was determined every 2 h. The diurnal pattern of growing cattle showed grazing and searching sessions, followed by ruminating and idling sessions. The length of sessions (as the probability of time allocated to each activity) varied throughout the day. The grazing probability was greater during afternoon than morning and midday (0.74 vs 0.45 vs 0.46, respectively), and it was associated with higher bite rate (34.2 bites/min). Regression tree models showed different grazing, searching and ruminating strategies according to pasture attributes. During the morning, animals modified grazing, searching, ruminating and idling strategies according to bite rate, crude protein in diet and herbage allowance. At midday, they only adjusted ruminating and idling, while during afternoon sessions, grazing activities were modified by pasture quantity attributes such as herbage mass and herbage allowance. By controlling the herbage allowance, herbage mass and pasture height, animals prioritise quality in the morning and quantity in the afternoon, integrating and modifying the grazing-searching and ruminating-idling pattern. MenosAbstract:
Many of the studies in Campos grasslands focus on management aspects such as the control of herbage allowance, and application of nutrients and/or overseeding with legumes. However, there is little literature on how the Campos grassland resource is utilised, especially regarding the grazing pattern and the relationship between pasture quantity and quality on daily grazing activities. The study of the ingestive behaviour in species-rich and heterogeneous native grasslands during daylight hours, and understanding how animals prioritise quality or quantity of intake in relation to pasture attributes, are important to comprehend the ingestive-digestive processes modulating the energy intake of animals and to achieve a better grazing management. Therefore, the objective was to describe and quantify the daily grazing behaviour of growing cattle grazing native pasture with different structures as a result of different management practices, and study the relationship of pasture attributes and intake through multivariate analysis. The study was carried out at the Faculty of Agronomy, Paysandú, Uruguay. Treatments were native grassland, overseeding with Trifolium pratense and Lotus tenuis + phosphorus, and native pasture + nitrogen-phosphorus. Grazing activities were discriminated into grazing, searching (defined when animals take 1?2 bites in one feeding station and then change to another feeding station and so on), ruminating and idling. The probability of time allocated t... Presentar Todo |
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Palabras claves : |
Cattle ingestive behaviour; Grazing management; Grazing pattern; Regression trees; Searching strategy. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16667/1/1-s2.0-S1751731121001798-main.pdf
https://www.sciencedirect.com/science/article/pii/S1751731121001798/pdfft?isDTMRedir=true&download=true
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Marc : |
LEADER 03831naa a2200301 a 4500
001 1062355
005 2022-09-02
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1016/j.animal.2021.100336$2DOI
100 1 $aCARAM, N.
245 $aConfiguration of daily grazing and searching of growing beef cattle in grassland$bobservational study.$h[electronic resource]
260 $c2021
500 $aArticle history: Received 2 February 2021, Revised 29 June 2021, Accepted 2 July 2021.
520 $aAbstract: Many of the studies in Campos grasslands focus on management aspects such as the control of herbage allowance, and application of nutrients and/or overseeding with legumes. However, there is little literature on how the Campos grassland resource is utilised, especially regarding the grazing pattern and the relationship between pasture quantity and quality on daily grazing activities. The study of the ingestive behaviour in species-rich and heterogeneous native grasslands during daylight hours, and understanding how animals prioritise quality or quantity of intake in relation to pasture attributes, are important to comprehend the ingestive-digestive processes modulating the energy intake of animals and to achieve a better grazing management. Therefore, the objective was to describe and quantify the daily grazing behaviour of growing cattle grazing native pasture with different structures as a result of different management practices, and study the relationship of pasture attributes and intake through multivariate analysis. The study was carried out at the Faculty of Agronomy, Paysandú, Uruguay. Treatments were native grassland, overseeding with Trifolium pratense and Lotus tenuis + phosphorus, and native pasture + nitrogen-phosphorus. Grazing activities were discriminated into grazing, searching (defined when animals take 1?2 bites in one feeding station and then change to another feeding station and so on), ruminating and idling. The probability of time allocated to each activity was continuously measured during daylight hours (0700?1930) and was related to pasture structure and forage quality using regression tree models, while the bite rate was determined every 2 h. The diurnal pattern of growing cattle showed grazing and searching sessions, followed by ruminating and idling sessions. The length of sessions (as the probability of time allocated to each activity) varied throughout the day. The grazing probability was greater during afternoon than morning and midday (0.74 vs 0.45 vs 0.46, respectively), and it was associated with higher bite rate (34.2 bites/min). Regression tree models showed different grazing, searching and ruminating strategies according to pasture attributes. During the morning, animals modified grazing, searching, ruminating and idling strategies according to bite rate, crude protein in diet and herbage allowance. At midday, they only adjusted ruminating and idling, while during afternoon sessions, grazing activities were modified by pasture quantity attributes such as herbage mass and herbage allowance. By controlling the herbage allowance, herbage mass and pasture height, animals prioritise quality in the morning and quantity in the afternoon, integrating and modifying the grazing-searching and ruminating-idling pattern.
653 $aCattle ingestive behaviour
653 $aGrazing management
653 $aGrazing pattern
653 $aRegression trees
653 $aSearching strategy
700 1 $aCASALÁS, F.
700 1 $aSOCA, P.
700 1 $aANFUSO, V.
700 1 $aGARCÍA-FAVRE, J.
700 1 $aWALLAU, M.
700 1 $aZANONIANI, R.
700 1 $aCADENAZZI, M.
700 1 $aBOGGIANO, P.
773 $tAnimal, 2021, volume 15, Issue 9, Article number 100336. Open Access. Doi: https://doi.org/10.1016/j.animal.2021.100336
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Registro original : |
INIA La Estanzuela (LE) |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
27/11/2020 |
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Actualizado : |
22/02/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
-- - -- |
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Autor : |
HERD, R.M.; ARTHUR, P.F.; HEGARTY, R.S.; BIRD-GARDINER, T.; DONOGHUE, K.A.; VELAZCO, J.I. |
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Afiliación : |
NSW Department of Primary Industries, Livestock Industry Centre. Environmental and Rural Science, University of New England, Australia.; NSW Department of Primary Industries, Elizabeth Macarthur Agricultural Institute; Environmental and Rural Science, University of New England.; NSW Department of Primary Industries, Agricultural Research Centre. Australia; NSW Department of Primary Industries, Agricultural Research Centre. Australia; JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Predicting metabolisable energy intake by free-ranging cattle using multiple short-term breath samples and applied to a pasture case-study. (Article in Press) |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Animal Production Science, 4 Nov. 2020, 61(4), p. 381-389 Doi: https://doi.org/10.1071/AN20162 |
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DOI : |
10.1071/AN20162 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 3 April 2020, accepted 11 October 2020, published online 4 November 2020. |
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Contenido : |
Context. Research into improving feed efficiency by ruminant animals grazing pastures has historically been restrained by an inability to measure feed intake by large numbers of individual animals. Recent advances in portable breath measurement technology could be useful for this purpose but methodologies need to be developed.
Aims. To evaluate predictive models for metabolisable energy intake (MEI) by free-ranging cattle using multiple short-term breath samples and then apply these to predict MEI by free-ranging cattle in a historic grazing experiment with cattle genetically divergent for residual feed intake (feed efficiency).
Methods. Predictive models for MEI were developed using bodyweight (BW) data, and carbon dioxide production rate (CPR) and methane production rate (MPR) from multiple short-term breath measurements, from an experiment with long-fed Angus steers on a grain-based diet, and an experiment with short-fed Angus heifers on a roughage diet.
Heat production was calculated using CPR and MPR. Energy retained (ER) in body tissue gain by steers was calculated from BW, ADG, initial and final subcutaneous fat depths, and for both groups using feeding-standards equations.
Key results. Metabolic mid-test BW (MBW) explained 49 and 47% of the variation in MEI in the steer and heifer experiment, respectively, and for the steers adding ADG and then subcutaneous fat gain resulted in the models accounting for 60 and then 65% of the variation in MEI. In the steer experiment, MBW with CPR explained 57% of the variation in MEI, and including MPR did not account for any additional variation. In the heifer experiment, MBW with CPR explained 50%, and with MPR accounted for 52% of the variation in MEI. Heat production plus ER explained 60, 35 and 85% of the variation in MEI in the steer and the heifer experiments, and in the pooled data from both experiments, respectively.
Conclusions. Multiple short-term breath measurements, together simple BW data, can be used to predict MEI by free-ranging cattle in studies in which animals do not have feed-intake or ADG recorded.
Implications. This methodology can be used for research into improving feed efficiency by farm animals grazing pastures. MenosContext. Research into improving feed efficiency by ruminant animals grazing pastures has historically been restrained by an inability to measure feed intake by large numbers of individual animals. Recent advances in portable breath measurement technology could be useful for this purpose but methodologies need to be developed.
Aims. To evaluate predictive models for metabolisable energy intake (MEI) by free-ranging cattle using multiple short-term breath samples and then apply these to predict MEI by free-ranging cattle in a historic grazing experiment with cattle genetically divergent for residual feed intake (feed efficiency).
Methods. Predictive models for MEI were developed using bodyweight (BW) data, and carbon dioxide production rate (CPR) and methane production rate (MPR) from multiple short-term breath measurements, from an experiment with long-fed Angus steers on a grain-based diet, and an experiment with short-fed Angus heifers on a roughage diet.
Heat production was calculated using CPR and MPR. Energy retained (ER) in body tissue gain by steers was calculated from BW, ADG, initial and final subcutaneous fat depths, and for both groups using feeding-standards equations.
Key results. Metabolic mid-test BW (MBW) explained 49 and 47% of the variation in MEI in the steer and heifer experiment, respectively, and for the steers adding ADG and then subcutaneous fat gain resulted in the models accounting for 60 and then 65% of the variation in MEI. In the steer experiment... Presentar Todo |
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Palabras claves : |
AVERAGE DAILY GAIN; CARBON DIOXIDE; FEED EFFICIENCY; FEED INTAKE; GRAZING; METABOLISABLE ENERGY INTAKE; METHANE; METHANE PRODUCTION RATE; OXYGEN; PASTURE. |
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Asunto categoría : |
L02 Alimentación animal |
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Marc : |
LEADER 03329naa a2200325 a 4500
001 1061522
005 2021-02-22
008 2020 bl uuuu u00u1 u #d
024 7 $a10.1071/AN20162$2DOI
100 1 $aHERD, R.M.
245 $aPredicting metabolisable energy intake by free-ranging cattle using multiple short-term breath samples and applied to a pasture case-study. (Article in Press)$h[electronic resource]
260 $c2020
500 $aArticle history: Received 3 April 2020, accepted 11 October 2020, published online 4 November 2020.
520 $aContext. Research into improving feed efficiency by ruminant animals grazing pastures has historically been restrained by an inability to measure feed intake by large numbers of individual animals. Recent advances in portable breath measurement technology could be useful for this purpose but methodologies need to be developed. Aims. To evaluate predictive models for metabolisable energy intake (MEI) by free-ranging cattle using multiple short-term breath samples and then apply these to predict MEI by free-ranging cattle in a historic grazing experiment with cattle genetically divergent for residual feed intake (feed efficiency). Methods. Predictive models for MEI were developed using bodyweight (BW) data, and carbon dioxide production rate (CPR) and methane production rate (MPR) from multiple short-term breath measurements, from an experiment with long-fed Angus steers on a grain-based diet, and an experiment with short-fed Angus heifers on a roughage diet. Heat production was calculated using CPR and MPR. Energy retained (ER) in body tissue gain by steers was calculated from BW, ADG, initial and final subcutaneous fat depths, and for both groups using feeding-standards equations. Key results. Metabolic mid-test BW (MBW) explained 49 and 47% of the variation in MEI in the steer and heifer experiment, respectively, and for the steers adding ADG and then subcutaneous fat gain resulted in the models accounting for 60 and then 65% of the variation in MEI. In the steer experiment, MBW with CPR explained 57% of the variation in MEI, and including MPR did not account for any additional variation. In the heifer experiment, MBW with CPR explained 50%, and with MPR accounted for 52% of the variation in MEI. Heat production plus ER explained 60, 35 and 85% of the variation in MEI in the steer and the heifer experiments, and in the pooled data from both experiments, respectively. Conclusions. Multiple short-term breath measurements, together simple BW data, can be used to predict MEI by free-ranging cattle in studies in which animals do not have feed-intake or ADG recorded. Implications. This methodology can be used for research into improving feed efficiency by farm animals grazing pastures.
653 $aAVERAGE DAILY GAIN
653 $aCARBON DIOXIDE
653 $aFEED EFFICIENCY
653 $aFEED INTAKE
653 $aGRAZING
653 $aMETABOLISABLE ENERGY INTAKE
653 $aMETHANE
653 $aMETHANE PRODUCTION RATE
653 $aOXYGEN
653 $aPASTURE
700 1 $aARTHUR, P.F.
700 1 $aHEGARTY, R.S.
700 1 $aBIRD-GARDINER, T.
700 1 $aDONOGHUE, K.A.
700 1 $aVELAZCO, J.I.
773 $tAnimal Production Science, 4 Nov. 2020, 61(4), p. 381-389 Doi: https://doi.org/10.1071/AN20162
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