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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
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Fecha : |
05/04/2022 |
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Actualizado : |
02/12/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
TALMÓN, D.; MENDOZA, A.; CARRIQUIRY, M. |
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Afiliación : |
DANIEL TALMÓN, Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, 12900, Uruguay; ALEJANDRO FRANCISCO MENDOZA AGUIAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIANA CARRIQUIRY, Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, 12900, Uruguay. |
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Título : |
Holstein strain affects energy and feed efficiency in a grazing dairy system. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Animal Production Science, 2022, Volume 62, Issue 8, pages 765-773. doi: https://doi.org/10.1071/AN20587 |
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ISSN : |
1836-0939 |
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DOI : |
10.1071/AN20587 |
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Idioma : |
Inglés |
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Notas : |
Article history: Submitted 18 October 2020; Accepted 23 November 2021; Published online 20 January 2022.
Handling Editor: Pablo Gregorini.
Corresponding author: Talmón, D.; Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; email:danieltalmon94@gmail.com |
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Contenido : |
ABSTRACT.- Context: Improving the partitioning of the energy consumed by dairy cows towards milk-solid production is a priority in grazing diary systems because energy efficiency has been associated with sustainability. Different selection criteria in the Holstein breed have led to divergent Holstein strains with different suitability to grazing systems. Aim: The objective of this work was to quantify and evaluate the energy partitioning between maintenance and milk production of two divergent Holstein strains (New Zealand Holstein and North American Holstein) in a grazing system without supplementation of concentrate. Methods: New Zealand Holstein and North American Holstein cows, nine of each, in mid-lactation (183 ± 37 days in milk, mean ± s.d.) were allocated in a randomised block design and evaluated under grazing conditions. The cows were managed under a daily strip-grazing system and grazed perennial ryegrass as the only source of nutrients. After an adaptation period of 14 days, heat production, retained energy in milk and metabolisable energy intake were measured over 7 days, and animal behaviour was simultaneously recorded. Key results: Milk yield did not differ between Holstein strains, but fat and protein content were greater for New Zealand than North American Holstein cows; consequently, retained energy in milk was 13% greater for the former strain. Heat production did not differ between Holstein strains, but metabolisable energy intake (kJ/bodyweight0.75.day) was greater for New Zealand than North American Holstein cows, which was associated with a greater pasture dry matter intake relative to their body weight. Both feed and energy efficiency were greater for New Zealand than North American Holstein cows. Conclusions: The results supported that the New Zealand Holstein strain has greater energy and feed efficiency, demonstrating that it could be more suitable to be managed under a grazing dairy system without supplementation than the North American Holstein strain. Implications: The New Zealand Holstein strain may be suited to selection as a dairy cow with the capacity to fulfil energy requirements from pasture, which is a key factor to improve production efficiency of grazing dairy systems. © 2022 MenosABSTRACT.- Context: Improving the partitioning of the energy consumed by dairy cows towards milk-solid production is a priority in grazing diary systems because energy efficiency has been associated with sustainability. Different selection criteria in the Holstein breed have led to divergent Holstein strains with different suitability to grazing systems. Aim: The objective of this work was to quantify and evaluate the energy partitioning between maintenance and milk production of two divergent Holstein strains (New Zealand Holstein and North American Holstein) in a grazing system without supplementation of concentrate. Methods: New Zealand Holstein and North American Holstein cows, nine of each, in mid-lactation (183 ± 37 days in milk, mean ± s.d.) were allocated in a randomised block design and evaluated under grazing conditions. The cows were managed under a daily strip-grazing system and grazed perennial ryegrass as the only source of nutrients. After an adaptation period of 14 days, heat production, retained energy in milk and metabolisable energy intake were measured over 7 days, and animal behaviour was simultaneously recorded. Key results: Milk yield did not differ between Holstein strains, but fat and protein content were greater for New Zealand than North American Holstein cows; consequently, retained energy in milk was 13% greater for the former strain. Heat production did not differ between Holstein strains, but metabolisable energy intake (kJ/bodyweight0.75.day) ... Presentar Todo |
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Palabras claves : |
Dairy cattle; Dairy cows; Dairy nutrition; Feed conversion efficiency; Grazing; Heat production; Holstein–Friesian; Pasture-based system. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 03407naa a2200277 a 4500
001 1062739
005 2022-12-02
008 2022 bl uuuu u00u1 u #d
022 $a1836-0939
024 7 $a10.1071/AN20587$2DOI
100 1 $aTALMÓN, D.
245 $aHolstein strain affects energy and feed efficiency in a grazing dairy system.$h[electronic resource]
260 $c2022
500 $aArticle history: Submitted 18 October 2020; Accepted 23 November 2021; Published online 20 January 2022. Handling Editor: Pablo Gregorini. Corresponding author: Talmón, D.; Departamento de Producción Animal y Pasturas, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; email:danieltalmon94@gmail.com
520 $aABSTRACT.- Context: Improving the partitioning of the energy consumed by dairy cows towards milk-solid production is a priority in grazing diary systems because energy efficiency has been associated with sustainability. Different selection criteria in the Holstein breed have led to divergent Holstein strains with different suitability to grazing systems. Aim: The objective of this work was to quantify and evaluate the energy partitioning between maintenance and milk production of two divergent Holstein strains (New Zealand Holstein and North American Holstein) in a grazing system without supplementation of concentrate. Methods: New Zealand Holstein and North American Holstein cows, nine of each, in mid-lactation (183 ± 37 days in milk, mean ± s.d.) were allocated in a randomised block design and evaluated under grazing conditions. The cows were managed under a daily strip-grazing system and grazed perennial ryegrass as the only source of nutrients. After an adaptation period of 14 days, heat production, retained energy in milk and metabolisable energy intake were measured over 7 days, and animal behaviour was simultaneously recorded. Key results: Milk yield did not differ between Holstein strains, but fat and protein content were greater for New Zealand than North American Holstein cows; consequently, retained energy in milk was 13% greater for the former strain. Heat production did not differ between Holstein strains, but metabolisable energy intake (kJ/bodyweight0.75.day) was greater for New Zealand than North American Holstein cows, which was associated with a greater pasture dry matter intake relative to their body weight. Both feed and energy efficiency were greater for New Zealand than North American Holstein cows. Conclusions: The results supported that the New Zealand Holstein strain has greater energy and feed efficiency, demonstrating that it could be more suitable to be managed under a grazing dairy system without supplementation than the North American Holstein strain. Implications: The New Zealand Holstein strain may be suited to selection as a dairy cow with the capacity to fulfil energy requirements from pasture, which is a key factor to improve production efficiency of grazing dairy systems. © 2022
653 $aDairy cattle
653 $aDairy cows
653 $aDairy nutrition
653 $aFeed conversion efficiency
653 $aGrazing
653 $aHeat production
653 $aHolstein–Friesian
653 $aPasture-based system
700 1 $aMENDOZA, A.
700 1 $aCARRIQUIRY, M.
773 $tAnimal Production Science, 2022, Volume 62, Issue 8, pages 765-773. doi: https://doi.org/10.1071/AN20587
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
07/02/2023 |
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Actualizado : |
24/04/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
DA CUNHA, L. L.; BREMM, C.; SAVIAN, J.V.; ZUBIETA, Á. S.; ROSSETTO, J.; CARVALHO, P. C. DE F. |
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Afiliación : |
LAIS LEAL DA CUNHA, LAIS LEAL, Grazing Ecology Research Group, Federal University of Rio Grande Do Sul, RS, Porto Alegre, Brazil; CAROLINA BREMM, State Foundation of Agricultural Research, Rua Gonçalves Dias, 570, Bairro Menino Deus, RS, Porto Alegre, Brazil; JEAN VICTOR SAVIAN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ÁNGEL SANCHEZ ZUBIETA, Grazing Ecology Research Group, Federal University of Rio Grande Do Sul, RS, Porto Alegre, Brazil; JUSIANE ROSSETTO, Grazing Ecology Research Group, Federal University of Rio Grande Do Sul, RS, Porto Alegre, Brazil; PAULO CÉSAR DE FACCIO CARVALHO, Grazing Ecology Research Group, Federal University of Rio Grande Do Sul, RS, Porto Alegre, Brazil. |
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Título : |
Relevance of sward structure and forage nutrient contents in explaining methane emissions from grazing beef cattle and sheep. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Science of the Total Environment, 2023. Volume 869, Article number 161695. doi: https://doi.org/10.1016/j.scitotenv.2023.161695 |
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ISSN : |
0048-9697 |
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DOI : |
10.1016/j.scitotenv.2023.161695 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 18 March 2022; Received in revised form 30 December 2022; Accepted 15 January 2023; Available online 21 January 2023; To be published 15 April 2023. -- Corresponding author: da Cunha, L.L.; Grazing Ecology Research Group, Department of Forage Plants and Agrometeorology, Faculty of Agronomy, Federal University of Rio Grande Do Sul, Bento Gonçalves Ave., 7712, RS, Porto Alegre, Brazil; email:laiscvet@gmail.com -- Editor: Kuishuang Feng -- |
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Contenido : |
ABSTRACT.- Forage nutrient contents are an important factor explaining the dry matter intake (DMI), average daily gain (ADG), and methane emissions (CH4) of ruminants fed indoors. However, for grazing animals, the forage nutrient contents might be limited in explaining such response variables. We aimed to verify the explanatory power of forage nutrient contents and sward structure on daily intake, performance, and CH4 emissions by sheep and beef cattle grazing different grassland types in southern Brazil. We analyzed data from five grazing trials using sheep and beef cattle grazing on Italian ryegrass (Lolium multiflorum), mixed Italian ryegrass and black oat (Lolium multiflorum + Avena strigosa), pearl millet (Pennisetum americanum), and multispecies native grassland. We used mixed models, including the forage nutrient contents [crude protein (CP), neutral detergent fiber (NDF), and acid detergent fiber (ADF)], sward structure (sward height and herbage mass) and their interactions, as fixed effects and trial, season, methodologies, animal species, grassland type, and paddock, as random effects. The model for DMI (kg DM/LW0.75) had an adjusted coefficient of determination (R2adj) of 71.6 %, where 11.3, 23.1, and 37.2 % of the R2adj were explained by the forage nutrient contents, sward structure, and their interaction, respectively. The ADG (kg/LW0.75) model presented an R2adj of 74.2 %, with 12.5 % explained by forage nutrient contents, 29.3 % by sward structure, and 32.4 % by their interaction. The daily CH4 emission (g/LW0.75) model had a lower adjusted coefficient of determination (R2adj = 47.6 %), with 16.8 % explained by forage nutrient contents and 30.8 % explained by sward structure, but no effect of the interaction. Our results show that in grazing ecosystems, the forage nutrient contents explain a small fraction, and the greater explanatory power for DMI, ADG, and CH4 emissions models is related to sward structure descriptors, such as sward height and herbage mass. Moreover, the interaction between these variables explains most of the variation. In conclusion, forage nutrient contents and sward structure have different influences on DMI, ADG, and CH4 emissions by grazing ruminants. Because of its relevance to daily CH4 emissions, offering an optimal sward structure to grazing animals is a major climate-smart strategy to improve animal production and mitigate CH4 emissions in pastoral ecosystems. © 2023 Elsevier B.V. MenosABSTRACT.- Forage nutrient contents are an important factor explaining the dry matter intake (DMI), average daily gain (ADG), and methane emissions (CH4) of ruminants fed indoors. However, for grazing animals, the forage nutrient contents might be limited in explaining such response variables. We aimed to verify the explanatory power of forage nutrient contents and sward structure on daily intake, performance, and CH4 emissions by sheep and beef cattle grazing different grassland types in southern Brazil. We analyzed data from five grazing trials using sheep and beef cattle grazing on Italian ryegrass (Lolium multiflorum), mixed Italian ryegrass and black oat (Lolium multiflorum + Avena strigosa), pearl millet (Pennisetum americanum), and multispecies native grassland. We used mixed models, including the forage nutrient contents [crude protein (CP), neutral detergent fiber (NDF), and acid detergent fiber (ADF)], sward structure (sward height and herbage mass) and their interactions, as fixed effects and trial, season, methodologies, animal species, grassland type, and paddock, as random effects. The model for DMI (kg DM/LW0.75) had an adjusted coefficient of determination (R2adj) of 71.6 %, where 11.3, 23.1, and 37.2 % of the R2adj were explained by the forage nutrient contents, sward structure, and their interaction, respectively. The ADG (kg/LW0.75) model presented an R2adj of 74.2 %, with 12.5 % explained by forage nutrient contents, 29.3 % by sward structure, and 32.4 % ... Presentar Todo |
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Palabras claves : |
Forage chemical composition; Grasslands; Livestock; Pastoral ecosystems; Sward height. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
LEADER 03850naa a2200277 a 4500
001 1063954
005 2023-04-24
008 2023 bl uuuu u00u1 u #d
022 $a0048-9697
024 7 $a10.1016/j.scitotenv.2023.161695$2DOI
100 1 $aDA CUNHA, L. L.
245 $aRelevance of sward structure and forage nutrient contents in explaining methane emissions from grazing beef cattle and sheep.$h[electronic resource]
260 $c2023
500 $aArticle history: Received 18 March 2022; Received in revised form 30 December 2022; Accepted 15 January 2023; Available online 21 January 2023; To be published 15 April 2023. -- Corresponding author: da Cunha, L.L.; Grazing Ecology Research Group, Department of Forage Plants and Agrometeorology, Faculty of Agronomy, Federal University of Rio Grande Do Sul, Bento Gonçalves Ave., 7712, RS, Porto Alegre, Brazil; email:laiscvet@gmail.com -- Editor: Kuishuang Feng --
520 $aABSTRACT.- Forage nutrient contents are an important factor explaining the dry matter intake (DMI), average daily gain (ADG), and methane emissions (CH4) of ruminants fed indoors. However, for grazing animals, the forage nutrient contents might be limited in explaining such response variables. We aimed to verify the explanatory power of forage nutrient contents and sward structure on daily intake, performance, and CH4 emissions by sheep and beef cattle grazing different grassland types in southern Brazil. We analyzed data from five grazing trials using sheep and beef cattle grazing on Italian ryegrass (Lolium multiflorum), mixed Italian ryegrass and black oat (Lolium multiflorum + Avena strigosa), pearl millet (Pennisetum americanum), and multispecies native grassland. We used mixed models, including the forage nutrient contents [crude protein (CP), neutral detergent fiber (NDF), and acid detergent fiber (ADF)], sward structure (sward height and herbage mass) and their interactions, as fixed effects and trial, season, methodologies, animal species, grassland type, and paddock, as random effects. The model for DMI (kg DM/LW0.75) had an adjusted coefficient of determination (R2adj) of 71.6 %, where 11.3, 23.1, and 37.2 % of the R2adj were explained by the forage nutrient contents, sward structure, and their interaction, respectively. The ADG (kg/LW0.75) model presented an R2adj of 74.2 %, with 12.5 % explained by forage nutrient contents, 29.3 % by sward structure, and 32.4 % by their interaction. The daily CH4 emission (g/LW0.75) model had a lower adjusted coefficient of determination (R2adj = 47.6 %), with 16.8 % explained by forage nutrient contents and 30.8 % explained by sward structure, but no effect of the interaction. Our results show that in grazing ecosystems, the forage nutrient contents explain a small fraction, and the greater explanatory power for DMI, ADG, and CH4 emissions models is related to sward structure descriptors, such as sward height and herbage mass. Moreover, the interaction between these variables explains most of the variation. In conclusion, forage nutrient contents and sward structure have different influences on DMI, ADG, and CH4 emissions by grazing ruminants. Because of its relevance to daily CH4 emissions, offering an optimal sward structure to grazing animals is a major climate-smart strategy to improve animal production and mitigate CH4 emissions in pastoral ecosystems. © 2023 Elsevier B.V.
653 $aForage chemical composition
653 $aGrasslands
653 $aLivestock
653 $aPastoral ecosystems
653 $aSward height
700 1 $aBREMM, C.
700 1 $aSAVIAN, J.V.
700 1 $aZUBIETA, Á. S.
700 1 $aROSSETTO, J.
700 1 $aCARVALHO, P. C. DE F.
773 $tScience of the Total Environment, 2023. Volume 869, Article number 161695. doi: https://doi.org/10.1016/j.scitotenv.2023.161695
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