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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 : |
24/11/2015 |
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Actualizado : |
24/06/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
COTTLE, D.J.; VELAZCO, J.I.; HEGARTY, R.S.; MAYER, D.G. |
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Afiliación : |
JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Estimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Animal, 2015, v. 9 (12), p. 1949-1957. |
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DOI : |
10.1017/S1751731115001676 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 19 March 2015; Accepted 17 July 2015; First published online 24 August 2015. |
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Contenido : |
Spot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a reenFeed emission monitoring (GEM) unit. The data were analysed to estimate daily methane production (DMP; g/day) and derived methane yield (MY; g/kg dry matter intake (DMI)). A one-compartment dose model of spot emission rate v. time since the preceding meal was compared with the models of Wood (1967) and Dijkstra et al. (1997) and the average of spot measures. Fitted values for DMP were calculated from the area under the curves. Two methods of relating methane and feed intakes were then studied: the classical calculation of MY as DMP/DMI (kg/day); and a novel method of estimating DMP from time and size of preceding meals using either the data for only the two meals preceding a spot measurement, or all meals for 3 days prior. Two approaches were also used to estimate DMP from spot measurements: fitting of
splines on a ?per-animal per-day? basis and an alternate approach of modelling DMP after each feed event by least squares (using Solver), summing (for each animal) the contributions from each feed event by best-fitting a one-compartment model. Time since the preceding meal was of limited value in estimating DMP. Even when the meal sizes and time intervals between a spot measurement and all feeding events in the previous 72 h were assessed, only 16.9% of the variance in spot emission rate
measured by GEM was explained by this feeding information. While using the preceding meal alone gave a biased (underestimate) of DMP, allowing for a longer feed history removed this bias. A power analysis taking into account the sources of variation in DMP indicated that to obtain an estimate of DMP with a 95% confidence interval within 5% of the observed 64 days mean of spot measures would require 40 animals measured over 45 days (two spot measurements per day) or 30 animals measured over 55 days. These numbers suggest that spot measurements could be made in association with feed efficiency tests made over 70 days. Spot measurements of enteric emissions can be used to define DMP but the number of animals and samples are larger than are needed when day-long measures are made. MenosSpot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a reenFeed emission monitoring (GEM) unit. The data were analysed to estimate daily methane production (DMP; g/day) and derived methane yield (MY; g/kg dry matter intake (DMI)). A one-compartment dose model of spot emission rate v. time since the preceding meal was compared with the models of Wood (1967) and Dijkstra et al. (1997) and the average of spot measures. Fitted values for DMP were calculated from the area under the curves. Two methods of relating methane and feed intakes were then studied: the classical calculation of MY as DMP/DMI (kg/day); and a novel method of estimating DMP from time and size of preceding meals using either the data for only the two meals preceding a spot measurement, or all meals for 3 days prior. Two approaches were also used to estimate DMP from spot measurements: fitting of
splines on a ?per-animal per-day? basis and an alternate approach of modelling DMP after each feed event by least squares (using Solver), summing (for each animal) the contributions from each feed event by best-fitting a one-compartment model. Time since the preceding meal was of limited value in estimating DMP. Even when the meal sizes and time intervals between a spot measurement and all feeding events in the previous 72 h were assessed, only 16.9% of the variance in spot emission rate
measured by GEM was explained by ... Presentar Todo |
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Palabras claves : |
GASES DE EFECTO INVERNADERO; GREENFEED; MODELS; SPLINES. |
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Thesagro : |
METANO; MODELOS ANIMALES; VACUNOS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03126naa a2200265 a 4500
001 1053984
005 2021-06-24
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1017/S1751731115001676$2DOI
100 1 $aCOTTLE, D.J.
245 $aEstimating daily methane production in individual cattle with irregular feed intake patterns from short-term methane emission measurements.$h[electronic resource]
260 $c2015
500 $aArticle history: Received 19 March 2015; Accepted 17 July 2015; First published online 24 August 2015.
520 $aSpot measurements of methane emission rate (n = 18 700) by 24 Angus steers fed mixed rations from GrowSafe feeders were made over 3- to 6-min periods by a reenFeed emission monitoring (GEM) unit. The data were analysed to estimate daily methane production (DMP; g/day) and derived methane yield (MY; g/kg dry matter intake (DMI)). A one-compartment dose model of spot emission rate v. time since the preceding meal was compared with the models of Wood (1967) and Dijkstra et al. (1997) and the average of spot measures. Fitted values for DMP were calculated from the area under the curves. Two methods of relating methane and feed intakes were then studied: the classical calculation of MY as DMP/DMI (kg/day); and a novel method of estimating DMP from time and size of preceding meals using either the data for only the two meals preceding a spot measurement, or all meals for 3 days prior. Two approaches were also used to estimate DMP from spot measurements: fitting of splines on a ?per-animal per-day? basis and an alternate approach of modelling DMP after each feed event by least squares (using Solver), summing (for each animal) the contributions from each feed event by best-fitting a one-compartment model. Time since the preceding meal was of limited value in estimating DMP. Even when the meal sizes and time intervals between a spot measurement and all feeding events in the previous 72 h were assessed, only 16.9% of the variance in spot emission rate measured by GEM was explained by this feeding information. While using the preceding meal alone gave a biased (underestimate) of DMP, allowing for a longer feed history removed this bias. A power analysis taking into account the sources of variation in DMP indicated that to obtain an estimate of DMP with a 95% confidence interval within 5% of the observed 64 days mean of spot measures would require 40 animals measured over 45 days (two spot measurements per day) or 30 animals measured over 55 days. These numbers suggest that spot measurements could be made in association with feed efficiency tests made over 70 days. Spot measurements of enteric emissions can be used to define DMP but the number of animals and samples are larger than are needed when day-long measures are made.
650 $aMETANO
650 $aMODELOS ANIMALES
650 $aVACUNOS
653 $aGASES DE EFECTO INVERNADERO
653 $aGREENFEED
653 $aMODELS
653 $aSPLINES
700 1 $aVELAZCO, J.I.
700 1 $aHEGARTY, R.S.
700 1 $aMAYER, D.G.
773 $tAnimal, 2015$gv. 9 (12), p. 1949-1957.
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INIA Treinta y Tres (TT) |
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| Registros recuperados : 4 | |
| 4. |  | BAI, M.; VELAZCO, J.I.; COATES, T. W.; PHILLIPS, F. A.; FLESCH, T. K.; HILL, J.; MAYER, D. G.; TOMKINS, N.W.; HEGARTY, R. S.; CHEN, D. Beef cattle methane emissions measured with tracer-ratio and inverse dispersion modelling techniques. Atmospheric Measurement Techniques, May 2021,volume 14, Issue 5, pages 3469 - 3479. OPEN ACCESS. Doi: https://doi.org/10.5194/amt-14-3469-2021 Article history: Received: 8 November 2020 // Discussion started: 25 November 2020 //Revised: 18 March 2021 // Accepted: 6 April 2021 // Published: 12 May 2021.
Corresponding Author: Mei Bai (mei.bai@unimelb.edu.au)| Biblioteca(s): INIA Treinta y Tres. |
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| Registros recuperados : 4 | |
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