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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 : |
05/04/2019 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
HERD, R. M.; VELAZCO, J.I.; SMITH, H.; ARTHUR, P. F.; HINE, B.; ODDY, H.; DOBOS, R. C.; HEGARTY, R. S. |
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Afiliación : |
ROBERT M. HERD, NSW Department of Primary Industries, Livestock Industries Centre. Environmental and Rural Science, University of New England; JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Environmental and Rural Science, University of New England.; HELEN SMITH, Local Land Services Agency; PAUL F. ARTHUR, NSW Department of Primary Industries; BRAD HINE, CSIRO Agriculture and Food, F.D McMaster Laboratory; HUTTON ODDY, NSW Department of Primary Industries, Livestock Industries Centre; ROBIN C. DOBOS, NSW Department of Primary Industries, Livestock Industries Centre; ROGER S. HEGARTY, Environmental and Rural Science, University of New England. |
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Título : |
Genetic variation in residual feed intake is associated with body composition, behavior, rumen, heat production, hematology, and immune competence traits in Angus cattle. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Journal of Animal Science: 2019, skz077, Corrected Proof, Available online 20 february 2019. In Press. |
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DOI : |
10.1093/jas/skz077 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 05 November 2018//Revision Received: 04 February 2019// Accepted: 20 February 2019. |
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Contenido : |
This experiment was to evaluate a suite of biological traits likely to be associated with genetic variation in residual feed intake (RFI) in Angus cattle. Twenty nine steers and 30 heifers bred to be divergent in postweaning RFI (RFIp) and that differed in midparent RFIp-EBV (RFIp-EBVmp) by more than 2 kg DMI/d were used in this study. A 1-unit (1 kg DM/d) decrease in RFIp-EBVmp was accompanied by a 0.08 kg (SE = 0.03; P < 0.05) increase in ADG, a 0.58 kg/d (0.17; P < 0.01) decrease in DMI, a 0.89 kg/kg (0.22; P < 0.001) decrease in FCR, and a 0.62 kg/d (0.12; P < 0.001) decrease in feedlot RFI (RFIf). Ultrasonically scanned depths of subcutaneous fat at the rib and rump sites, measured at the start and end of the RFI test, all had strong positive correlations with RFIp-EBVmp, DMI, and RFIf (all r values ?0.5 and P < 0.001). Variation in RFIp-EBVmp was significantly correlated (P < 0.05) with flight speed (r = ?0.32), number of visits to feed bins (r = 0.45), and visits to exhaled-emission monitors (r = ?0.27), as well as the concentrations of propionate (r = ?0.32) and valerate (r = ?0.31) in rumen fluid, white blood cell (r = ?0.51), lymphocyte (r = ?0.43), and neutrophil (r = ?0.31) counts in blood. RFIp-EBVmp was also correlated with the cellular immune response to vaccination (r = 0.25; P < 0.1) and heat production in fasted cattle (r = ?0.46; P < 0.001). Traits that explained significant variation (P < 0.05) in DMI over the RFI test were midtest metabolic-BW (44.7%), rib fat depth at the end of test (an additional 18%), number of feeder visits (additional 5.7%), apparent digestibility of the ration by animals (additional 2.4%) and white blood-cell count (2.1%), and the cellular immune response to vaccine injection (additional 1.1%; P < 0.1), leaving ~23% of the variation in DMI unexplained. The same traits (BW excluded) explained 33%, 12%, 3.6%, 3.7%, and 3.1%, and together explained 57% of the variation in RFIf. This experiment showed that genetic variation in RFI was accompanied by variation in estimated body composition, behavior, rumen, fasted heat production, hematology, and immune competence traits, and that variation in feedlot DMI and RFIf was due to differences in BW, scanned fatness, and many other factors in these cattle fed ad libitum and able to display any innate differences in appetite, temperament, feeding behavior, and activity. MenosThis experiment was to evaluate a suite of biological traits likely to be associated with genetic variation in residual feed intake (RFI) in Angus cattle. Twenty nine steers and 30 heifers bred to be divergent in postweaning RFI (RFIp) and that differed in midparent RFIp-EBV (RFIp-EBVmp) by more than 2 kg DMI/d were used in this study. A 1-unit (1 kg DM/d) decrease in RFIp-EBVmp was accompanied by a 0.08 kg (SE = 0.03; P < 0.05) increase in ADG, a 0.58 kg/d (0.17; P < 0.01) decrease in DMI, a 0.89 kg/kg (0.22; P < 0.001) decrease in FCR, and a 0.62 kg/d (0.12; P < 0.001) decrease in feedlot RFI (RFIf). Ultrasonically scanned depths of subcutaneous fat at the rib and rump sites, measured at the start and end of the RFI test, all had strong positive correlations with RFIp-EBVmp, DMI, and RFIf (all r values ?0.5 and P < 0.001). Variation in RFIp-EBVmp was significantly correlated (P < 0.05) with flight speed (r = ?0.32), number of visits to feed bins (r = 0.45), and visits to exhaled-emission monitors (r = ?0.27), as well as the concentrations of propionate (r = ?0.32) and valerate (r = ?0.31) in rumen fluid, white blood cell (r = ?0.51), lymphocyte (r = ?0.43), and neutrophil (r = ?0.31) counts in blood. RFIp-EBVmp was also correlated with the cellular immune response to vaccination (r = 0.25; P < 0.1) and heat production in fasted cattle (r = ?0.46; P < 0.001). Traits that explained significant variation (P < 0.05) in DMI over the RFI test were midtest metabolic-BW (44.7%), r... Presentar Todo |
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Palabras claves : |
BODY COMPOSITION; CATTLE; DIGESTIBILITY; FEED EFFICIENCY; IMMUNE COMPETENCE. |
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Thesagro : |
PRODUCCIÓN ANIMAL. |
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Asunto categoría : |
L51 Fisiología Animal - Nutrición |
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Marc : |
LEADER 03460naa a2200301 a 4500
001 1059701
005 2019-10-15
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1093/jas/skz077$2DOI
100 1 $aHERD, R. M.
245 $aGenetic variation in residual feed intake is associated with body composition, behavior, rumen, heat production, hematology, and immune competence traits in Angus cattle.$h[electronic resource]
260 $c2019
500 $aArticle history: Received: 05 November 2018//Revision Received: 04 February 2019// Accepted: 20 February 2019.
520 $aThis experiment was to evaluate a suite of biological traits likely to be associated with genetic variation in residual feed intake (RFI) in Angus cattle. Twenty nine steers and 30 heifers bred to be divergent in postweaning RFI (RFIp) and that differed in midparent RFIp-EBV (RFIp-EBVmp) by more than 2 kg DMI/d were used in this study. A 1-unit (1 kg DM/d) decrease in RFIp-EBVmp was accompanied by a 0.08 kg (SE = 0.03; P < 0.05) increase in ADG, a 0.58 kg/d (0.17; P < 0.01) decrease in DMI, a 0.89 kg/kg (0.22; P < 0.001) decrease in FCR, and a 0.62 kg/d (0.12; P < 0.001) decrease in feedlot RFI (RFIf). Ultrasonically scanned depths of subcutaneous fat at the rib and rump sites, measured at the start and end of the RFI test, all had strong positive correlations with RFIp-EBVmp, DMI, and RFIf (all r values ?0.5 and P < 0.001). Variation in RFIp-EBVmp was significantly correlated (P < 0.05) with flight speed (r = ?0.32), number of visits to feed bins (r = 0.45), and visits to exhaled-emission monitors (r = ?0.27), as well as the concentrations of propionate (r = ?0.32) and valerate (r = ?0.31) in rumen fluid, white blood cell (r = ?0.51), lymphocyte (r = ?0.43), and neutrophil (r = ?0.31) counts in blood. RFIp-EBVmp was also correlated with the cellular immune response to vaccination (r = 0.25; P < 0.1) and heat production in fasted cattle (r = ?0.46; P < 0.001). Traits that explained significant variation (P < 0.05) in DMI over the RFI test were midtest metabolic-BW (44.7%), rib fat depth at the end of test (an additional 18%), number of feeder visits (additional 5.7%), apparent digestibility of the ration by animals (additional 2.4%) and white blood-cell count (2.1%), and the cellular immune response to vaccine injection (additional 1.1%; P < 0.1), leaving ~23% of the variation in DMI unexplained. The same traits (BW excluded) explained 33%, 12%, 3.6%, 3.7%, and 3.1%, and together explained 57% of the variation in RFIf. This experiment showed that genetic variation in RFI was accompanied by variation in estimated body composition, behavior, rumen, fasted heat production, hematology, and immune competence traits, and that variation in feedlot DMI and RFIf was due to differences in BW, scanned fatness, and many other factors in these cattle fed ad libitum and able to display any innate differences in appetite, temperament, feeding behavior, and activity.
650 $aPRODUCCIÓN ANIMAL
653 $aBODY COMPOSITION
653 $aCATTLE
653 $aDIGESTIBILITY
653 $aFEED EFFICIENCY
653 $aIMMUNE COMPETENCE
700 1 $aVELAZCO, J.I.
700 1 $aSMITH, H.
700 1 $aARTHUR, P. F.
700 1 $aHINE, B.
700 1 $aODDY, H.
700 1 $aDOBOS, R. C.
700 1 $aHEGARTY, R. S.
773 $tJournal of Animal Science: 2019, skz077, Corrected Proof, Available online 20 february 2019. In Press.
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INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
|
Fecha actual : |
25/11/2015 |
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Actualizado : |
11/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - B |
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Autor : |
HERD, R.M.; VELAZCO, J.I.; ARTHUR, P. F.; HEGARTY, R. S. |
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Afiliación : |
NSW Department of Primary Industries, Beef Industry Centre, Australia; JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Environmental and Rural Science, University of New England, Australia.; NSW Department of Primary Industries, Agricultural Institute, Australia.; Environmental and Rural Science, University of New England, Australia. |
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Título : |
Proxies to adjust methane production rate of beef cattle when the quantity of feed consumed is unknown. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
Animal Production Science, 2016, 56, p. 231-237. |
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DOI : |
10.1071/AN15477 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 24 August 2015, accepted 11 November 2015, published online 9 February 2016.
http://dx.doi.org/10.1071/AN15477 |
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Contenido : |
Abstract:
The aim of this experiment was to evaluate the utility of CO2 production rate (CPR; g CO2/d) and animal weight (WT) data as proxies for feed-intake to adjust methane production rate (MPR; g CH4/d) in situations where dry-matter intake (DMI) is not known. This experiment measured individual-animal DMI, MPR and CPR in the feedlot, and then again on restricted quantities of grain and roughage diets in open-circuit respiration chambers. Of the 59 cattle tested in the feedlot, 41 had MPR and CPR recorded, and 59 and 57 had test results on the restricted grain and roughage rations. Methane production relative to DMI by individual animals was calculated as methane yield (MY; MPR/ DMI) and as residual methane production (RMPDMI; calculated as MPR less predicted MPR based on DMI). A second form of residual methane production: RMPCO2, was calculated by regressing MPR against CPR to determine whether animals were producing more or less CH4 than predicted for their CPR. Carbon-dioxide production rate was positively associated with DMI in all 3 test phases (R2=0.25, 0.45 and 0.47; all P<0.001). The associations for MY with MPR:CPR were moderate and positive: R2=0.49 in the feedlot test; R2=0.37 in the restricted grain test; and R2=0.59 in the restricted roughage test, and with RMPCO2 R-square were 0.57, 0.34 and 0.59 in the 3 test phases (all P<0.001). The R-square for RMPDMI with MPR:CPR in all 3 tests were 0.50, 0.79 and 0.69, and with RMPCO2 R-square were 0.68, 0.79 and 0.68 (all P<0.001). The high R-square for MY with MPR:CPR and RMPCO2 and even higher R-square for RMPDMI with MPR:CPR and RMPCO2 in all 3 test phases showed that CPR can be used to adjust MPR data for DMI when DMI is not recorded. In the feedlot test, where animal WT data was recorded over 70 days, MPR adjusted for WT and WT gain had R-square with MY and RMPDMI of 0.60 and 0.83 respectively (P<0.001) offering the possibility that animal WT data determined over an extended time period could also be used as a proxy for DMI in adjustment of MPR. MenosAbstract:
The aim of this experiment was to evaluate the utility of CO2 production rate (CPR; g CO2/d) and animal weight (WT) data as proxies for feed-intake to adjust methane production rate (MPR; g CH4/d) in situations where dry-matter intake (DMI) is not known. This experiment measured individual-animal DMI, MPR and CPR in the feedlot, and then again on restricted quantities of grain and roughage diets in open-circuit respiration chambers. Of the 59 cattle tested in the feedlot, 41 had MPR and CPR recorded, and 59 and 57 had test results on the restricted grain and roughage rations. Methane production relative to DMI by individual animals was calculated as methane yield (MY; MPR/ DMI) and as residual methane production (RMPDMI; calculated as MPR less predicted MPR based on DMI). A second form of residual methane production: RMPCO2, was calculated by regressing MPR against CPR to determine whether animals were producing more or less CH4 than predicted for their CPR. Carbon-dioxide production rate was positively associated with DMI in all 3 test phases (R2=0.25, 0.45 and 0.47; all P<0.001). The associations for MY with MPR:CPR were moderate and positive: R2=0.49 in the feedlot test; R2=0.37 in the restricted grain test; and R2=0.59 in the restricted roughage test, and with RMPCO2 R-square were 0.57, 0.34 and 0.59 in the 3 test phases (all P<0.001). The R-square for RMPDMI with MPR:CPR in all 3 tests were 0.50, 0.79 and 0.69, and with RMPCO2 R-square were 0.68, 0.79 and 0.68... Presentar Todo |
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Palabras claves : |
GANADO VACUNO; GAS METANO; GASES EFECTO INVERNADERO; GEM; GREENHOUSE GAS; RESPIRATION CHAMBER. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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Marc : |
LEADER 02904naa a2200253 a 4500
001 1053986
005 2019-10-11
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1071/AN15477$2DOI
100 1 $aHERD, R.M.
245 $aProxies to adjust methane production rate of beef cattle when the quantity of feed consumed is unknown.$h[electronic resource]
260 $c2016
500 $aArticle history: Received 24 August 2015, accepted 11 November 2015, published online 9 February 2016. http://dx.doi.org/10.1071/AN15477
520 $aAbstract: The aim of this experiment was to evaluate the utility of CO2 production rate (CPR; g CO2/d) and animal weight (WT) data as proxies for feed-intake to adjust methane production rate (MPR; g CH4/d) in situations where dry-matter intake (DMI) is not known. This experiment measured individual-animal DMI, MPR and CPR in the feedlot, and then again on restricted quantities of grain and roughage diets in open-circuit respiration chambers. Of the 59 cattle tested in the feedlot, 41 had MPR and CPR recorded, and 59 and 57 had test results on the restricted grain and roughage rations. Methane production relative to DMI by individual animals was calculated as methane yield (MY; MPR/ DMI) and as residual methane production (RMPDMI; calculated as MPR less predicted MPR based on DMI). A second form of residual methane production: RMPCO2, was calculated by regressing MPR against CPR to determine whether animals were producing more or less CH4 than predicted for their CPR. Carbon-dioxide production rate was positively associated with DMI in all 3 test phases (R2=0.25, 0.45 and 0.47; all P<0.001). The associations for MY with MPR:CPR were moderate and positive: R2=0.49 in the feedlot test; R2=0.37 in the restricted grain test; and R2=0.59 in the restricted roughage test, and with RMPCO2 R-square were 0.57, 0.34 and 0.59 in the 3 test phases (all P<0.001). The R-square for RMPDMI with MPR:CPR in all 3 tests were 0.50, 0.79 and 0.69, and with RMPCO2 R-square were 0.68, 0.79 and 0.68 (all P<0.001). The high R-square for MY with MPR:CPR and RMPCO2 and even higher R-square for RMPDMI with MPR:CPR and RMPCO2 in all 3 test phases showed that CPR can be used to adjust MPR data for DMI when DMI is not recorded. In the feedlot test, where animal WT data was recorded over 70 days, MPR adjusted for WT and WT gain had R-square with MY and RMPDMI of 0.60 and 0.83 respectively (P<0.001) offering the possibility that animal WT data determined over an extended time period could also be used as a proxy for DMI in adjustment of MPR.
653 $aGANADO VACUNO
653 $aGAS METANO
653 $aGASES EFECTO INVERNADERO
653 $aGEM
653 $aGREENHOUSE GAS
653 $aRESPIRATION CHAMBER
700 1 $aVELAZCO, J.I.
700 1 $aARTHUR, P. F.
700 1 $aHEGARTY, R. S.
773 $tAnimal Production Science, 2016, 56, p. 231-237.
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