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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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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
29/10/2019 |
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Actualizado : |
29/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
SAVIAN, J.V.; PRIANO, M.E.; NADIN, L.B.; TIERI, M.P.; MARINHO TRES SCHONS, R.; BASSO, C.; PONTES PRATES, A.; BAYER, C. |
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Afiliación : |
JEAN VICTOR SAVIAN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Grazing Ecology Research Group, Federal University of Río Grande do Sul, Porto Alege, RS, Brasil.; MARÍA EUGENIA PRIANO, Research Center in Physics and Engineering of the Center of the Province of Buenos Aires; LAURA BEATRIZ NADIN, Veterinary Faculty, National University of the Centre of the Province of Buenos Aires, Tandil, Argentina; MARÍA PAZ TIERI, National Institute of Agricultural Technology, Rafaela, Santa Fé, Argentina; RADAEL MARINHO TRES SCHONS, Grazing Ecology Research Group, Federal University of Río Grande do Sul, Porto Alegre, Brasil.; CATARINE BASSO, Grazing Ecology Research Group, Federal University of Río Grande do Sul, RS, Brasil.; ARTHUR PONTES PRATES, Grazing Ecology Research Group, Federal University of Río Grande do Sul, RS, Brasil.; CIMÉLIO BAYER, Department of Soil Science, Federal University of Río Grande do Sul, Porto Alegre, RS, Brasil. |
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Título : |
Effect of sward management on the emissions of CH4 and N2O from faeces of sheep grazing Italian ryegrass pastures. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Small Ruminant Reseach, Sept. 2019, volume 178, Pages 123-128. |
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DOI : |
10.1016/j.smallrumres.2019.08.011 |
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Idioma : |
Inglés |
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Notas : |
History Article: Received 4 April 2019; Received in revised from 21 August 2019; Accepted 22 August 2019. Available online 24 August 2019. |
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Contenido : |
Rotatinuous stocking (RN) management is based on animal ingestive behaviour responses, where optimal preand post-grazing sward heights are defined to increase nutrient intake per unit of grazing time. We hypothesized that the optimal sward structure and consequently, a high herbage nutritive value in RN treatment results in a
greater faecal nitrogen (N) excretion by sheep and consequently, a greater faecal greenhouse gas (GHG) emissions compared with the traditional rotational stocking (RT) management, which is based on a maximum herbage accumulation and harvest. Therefore, the aim of this study was to evaluate the effect of two grazing
management strategies (RN and RT) on the amount of dry matter (DM) faecal excretion, faecal N excretion and faecal GHG (CH4 and N2O) emissions from growing sheep grazing Italian ryegrass pastures. In order to evaluate faecal production and N excretion per animal and per ha, a first experiment (1) was carried out: RT - pre and post-grazing sward heights of 25 and 5 cm, respectively and, RN - pre and post-grazing sward heights of 18 and 11 cm, respectively. A second experiment (2) was carried out to measure the CH4 and N2O fluxes from faeces, using the static chamber method. Daily DM faecal and N excretion per animal were higher (P<0.001) in RN compared with RT treatment. However, when considered daily DM faecal and N excretion per ha, results were lower (P<0.001) for the RN than the RT treatment. CH4 and N2O emissions from faeces were higher (P<0.001) in RN compared with RT treatment, both per animal and per hectare. In conclusion, our study showed that the RN grazing management, based on animal behaviour, resulted in a higher daily N excretion per animal and higher CH4 and N2O emissions from faeces of sheep grazing Italian ryegrass pastures. This study contributes to improve GHG national inventories for the subtropical Brazilian climatic conditions, where estimations from CH4 and N2O emissions factors for faeces from growing sheep grazing Italian ryegrass are markedly lower than the values reported by IPCC Default Tier 1. MenosRotatinuous stocking (RN) management is based on animal ingestive behaviour responses, where optimal preand post-grazing sward heights are defined to increase nutrient intake per unit of grazing time. We hypothesized that the optimal sward structure and consequently, a high herbage nutritive value in RN treatment results in a
greater faecal nitrogen (N) excretion by sheep and consequently, a greater faecal greenhouse gas (GHG) emissions compared with the traditional rotational stocking (RT) management, which is based on a maximum herbage accumulation and harvest. Therefore, the aim of this study was to evaluate the effect of two grazing
management strategies (RN and RT) on the amount of dry matter (DM) faecal excretion, faecal N excretion and faecal GHG (CH4 and N2O) emissions from growing sheep grazing Italian ryegrass pastures. In order to evaluate faecal production and N excretion per animal and per ha, a first experiment (1) was carried out: RT - pre and post-grazing sward heights of 25 and 5 cm, respectively and, RN - pre and post-grazing sward heights of 18 and 11 cm, respectively. A second experiment (2) was carried out to measure the CH4 and N2O fluxes from faeces, using the static chamber method. Daily DM faecal and N excretion per animal were higher (P<0.001) in RN compared with RT treatment. However, when considered daily DM faecal and N excretion per ha, results were lower (P<0.001) for the RN than the RT treatment. CH4 and N2O emissions from faeces were higher (... Presentar Todo |
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Palabras claves : |
FACTOR DE EMISIÓN FECAL; FAECAL EMISSION FACTOR; GREENHOUSE GASES; GROWING SHEEP; PASTURE MANAGEMENT; SWARD HEIGHT. |
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Thesagro : |
GASES DE EFECTO INVERNADERO; MANEJO DE PASTURAS. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03219naa a2200325 a 4500
001 1060357
005 2019-10-29
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1016/j.smallrumres.2019.08.011$2DOI
100 1 $aSAVIAN, J.V.
245 $aEffect of sward management on the emissions of CH4 and N2O from faeces of sheep grazing Italian ryegrass pastures.$h[electronic resource]
260 $c2019
500 $aHistory Article: Received 4 April 2019; Received in revised from 21 August 2019; Accepted 22 August 2019. Available online 24 August 2019.
520 $aRotatinuous stocking (RN) management is based on animal ingestive behaviour responses, where optimal preand post-grazing sward heights are defined to increase nutrient intake per unit of grazing time. We hypothesized that the optimal sward structure and consequently, a high herbage nutritive value in RN treatment results in a greater faecal nitrogen (N) excretion by sheep and consequently, a greater faecal greenhouse gas (GHG) emissions compared with the traditional rotational stocking (RT) management, which is based on a maximum herbage accumulation and harvest. Therefore, the aim of this study was to evaluate the effect of two grazing management strategies (RN and RT) on the amount of dry matter (DM) faecal excretion, faecal N excretion and faecal GHG (CH4 and N2O) emissions from growing sheep grazing Italian ryegrass pastures. In order to evaluate faecal production and N excretion per animal and per ha, a first experiment (1) was carried out: RT - pre and post-grazing sward heights of 25 and 5 cm, respectively and, RN - pre and post-grazing sward heights of 18 and 11 cm, respectively. A second experiment (2) was carried out to measure the CH4 and N2O fluxes from faeces, using the static chamber method. Daily DM faecal and N excretion per animal were higher (P<0.001) in RN compared with RT treatment. However, when considered daily DM faecal and N excretion per ha, results were lower (P<0.001) for the RN than the RT treatment. CH4 and N2O emissions from faeces were higher (P<0.001) in RN compared with RT treatment, both per animal and per hectare. In conclusion, our study showed that the RN grazing management, based on animal behaviour, resulted in a higher daily N excretion per animal and higher CH4 and N2O emissions from faeces of sheep grazing Italian ryegrass pastures. This study contributes to improve GHG national inventories for the subtropical Brazilian climatic conditions, where estimations from CH4 and N2O emissions factors for faeces from growing sheep grazing Italian ryegrass are markedly lower than the values reported by IPCC Default Tier 1.
650 $aGASES DE EFECTO INVERNADERO
650 $aMANEJO DE PASTURAS
653 $aFACTOR DE EMISIÓN FECAL
653 $aFAECAL EMISSION FACTOR
653 $aGREENHOUSE GASES
653 $aGROWING SHEEP
653 $aPASTURE MANAGEMENT
653 $aSWARD HEIGHT
700 1 $aPRIANO, M.E.
700 1 $aNADIN, L.B.
700 1 $aTIERI, M.P.
700 1 $aMARINHO TRES SCHONS, R.
700 1 $aBASSO, C.
700 1 $aPONTES PRATES, A.
700 1 $aBAYER, C.
773 $tSmall Ruminant Reseach, Sept. 2019, volume 178, Pages 123-128.
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INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
13/12/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
SÁNCHEZ, J. P.; MISZTAL, I.; AGUILAR, I.; BERTRAND, J. K. |
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Afiliación : |
J. P. SÁNCHEZ, Animal and Dairy Science Department, University of Georgia, United States; Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Spain; I. MISZTAL, Animal and Dairy Science Department, University of Georgia, United States; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; J. K. BERTRAND, Animal and Dairy Science Department, University of Georgia, United States. |
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Título : |
Genetic evaluation of growth in a multibreed beef cattle population using random regression-linear spline models. |
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Fecha de publicación : |
2008 |
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Fuente / Imprenta : |
Journal of Animal Science, 2008, 86 (2): 267-277. |
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ISSN : |
0021-8812 |
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DOI : |
10.2527/jas.2007-0064 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received January 24, 2007. // Accepted October 2, 2007. |
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Contenido : |
ABSTRACT.
The objective of this study was to examine the feasibility of using random regression-spline (RR-spline) models for fitting growth traits in a multibreed beef cattle population. To meet the objective, the results from the RR-spline model were compared with the widely used multitrait (MT) model when both were fit to a data set (1.8 million records and 1.1 million animals) provided by the American Gelbvieh Association. The effect of prior information on the EBV of sires was also investigated. In both RR-spline and MT models, the following effects were considered: individual direct and maternal additive genetic effects, contemporary group, age of the animal at measurement, direct and maternal heterosis, and direct and maternal additive genetic mean effect of the breed. Additionally, the RR-spline model included an individual direct permanent environmental effect. When both MT and RR-spline models were applied to a data set containing records for weaning weight (WWT) and yearling weight (YWT) within specified age ranges, the rankings of bulls' direct EBV (as measured via Pearson correlations) provided by both models were comparable, with slightly greater differences in the reranking of bulls observed for YWT evaluations (≥0.99 for BWT and WWT and ≥0.98 for YWT); also, some bulls dropped from the top 100 list when these lists were compared across methods. For maternal effects, the estimated correlations were slightly smaller, particularly for YWT; again, some drops from the top 100 animals were observed. As in regular MT multibreed genetic evaluations, the heterosis effects and the additive genetic effects of the breed could not be estimated from field data, because there were not enough contemporary groups with the proper composition of purebred and crossbred animals; thus, prior information based on literature values had to be included. The inclusion of prior information had a negligible effect in the overall ranking for bulls with greater than 20 birth weight progeny records; however, the effect of prior information for breeds or groups poorly represented in the data was important. The Pearson correlations for direct and maternal WWT and YWT ranged from 0.95 to 0.98 when comparing evaluations of data sets for which the out-of-range age records were removed or retained. Random regression allows for avoiding the discarding of records that are outside the usual age ranges of measurement; thus, greater accuracies are achieved, and greater genetic progress could be expected.
©2008 American Society of Animal Science. All rights reserved. MenosABSTRACT.
The objective of this study was to examine the feasibility of using random regression-spline (RR-spline) models for fitting growth traits in a multibreed beef cattle population. To meet the objective, the results from the RR-spline model were compared with the widely used multitrait (MT) model when both were fit to a data set (1.8 million records and 1.1 million animals) provided by the American Gelbvieh Association. The effect of prior information on the EBV of sires was also investigated. In both RR-spline and MT models, the following effects were considered: individual direct and maternal additive genetic effects, contemporary group, age of the animal at measurement, direct and maternal heterosis, and direct and maternal additive genetic mean effect of the breed. Additionally, the RR-spline model included an individual direct permanent environmental effect. When both MT and RR-spline models were applied to a data set containing records for weaning weight (WWT) and yearling weight (YWT) within specified age ranges, the rankings of bulls' direct EBV (as measured via Pearson correlations) provided by both models were comparable, with slightly greater differences in the reranking of bulls observed for YWT evaluations (≥0.99 for BWT and WWT and ≥0.98 for YWT); also, some bulls dropped from the top 100 list when these lists were compared across methods. For maternal effects, the estimated correlations were slightly smaller, particularly for YWT; again, som... Presentar Todo |
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Palabras claves : |
BEEF CATTLE; GROWTH; MULTIBREED; RANDOM REGRESSION MODEL; SPLINE. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03374naa a2200253 a 4500
001 1012853
005 2018-12-13
008 2008 bl uuuu u00u1 u #d
022 $a0021-8812
024 7 $a10.2527/jas.2007-0064$2DOI
100 1 $aSÁNCHEZ, J. P.
245 $aGenetic evaluation of growth in a multibreed beef cattle population using random regression-linear spline models.
260 $c2008
500 $aArticle history: Received January 24, 2007. // Accepted October 2, 2007.
520 $aABSTRACT. The objective of this study was to examine the feasibility of using random regression-spline (RR-spline) models for fitting growth traits in a multibreed beef cattle population. To meet the objective, the results from the RR-spline model were compared with the widely used multitrait (MT) model when both were fit to a data set (1.8 million records and 1.1 million animals) provided by the American Gelbvieh Association. The effect of prior information on the EBV of sires was also investigated. In both RR-spline and MT models, the following effects were considered: individual direct and maternal additive genetic effects, contemporary group, age of the animal at measurement, direct and maternal heterosis, and direct and maternal additive genetic mean effect of the breed. Additionally, the RR-spline model included an individual direct permanent environmental effect. When both MT and RR-spline models were applied to a data set containing records for weaning weight (WWT) and yearling weight (YWT) within specified age ranges, the rankings of bulls' direct EBV (as measured via Pearson correlations) provided by both models were comparable, with slightly greater differences in the reranking of bulls observed for YWT evaluations (≥0.99 for BWT and WWT and ≥0.98 for YWT); also, some bulls dropped from the top 100 list when these lists were compared across methods. For maternal effects, the estimated correlations were slightly smaller, particularly for YWT; again, some drops from the top 100 animals were observed. As in regular MT multibreed genetic evaluations, the heterosis effects and the additive genetic effects of the breed could not be estimated from field data, because there were not enough contemporary groups with the proper composition of purebred and crossbred animals; thus, prior information based on literature values had to be included. The inclusion of prior information had a negligible effect in the overall ranking for bulls with greater than 20 birth weight progeny records; however, the effect of prior information for breeds or groups poorly represented in the data was important. The Pearson correlations for direct and maternal WWT and YWT ranged from 0.95 to 0.98 when comparing evaluations of data sets for which the out-of-range age records were removed or retained. Random regression allows for avoiding the discarding of records that are outside the usual age ranges of measurement; thus, greater accuracies are achieved, and greater genetic progress could be expected. ©2008 American Society of Animal Science. All rights reserved.
653 $aBEEF CATTLE
653 $aGROWTH
653 $aMULTIBREED
653 $aRANDOM REGRESSION MODEL
653 $aSPLINE
700 1 $aMISZTAL, I.
700 1 $aAGUILAR, I.
700 1 $aBERTRAND, J. K.
773 $tJournal of Animal Science, 2008, 86 (2): 267-277.
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