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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha : |
18/06/2015 |
Actualizado : |
12/05/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
DE BARBIERI, I.; HEGARTY, R.S.; SILVEIRA, C.; ODDY, V.H. |
Afiliación : |
LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROGER STEPHEN HEGARTY, School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia; CAROLINA INES SILVEIRA ROJAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; VICTOR H. ODDY, Beef Industry Centre, Department of Primary Industries NSW, Armidale, NSW 2351, Australia. |
Título : |
Positive consequences of maternal diet and post-natal rumen inoculation on rumen function and animal performance of Merino lambs. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Small Ruminant Research, Volume 129, August 2015, Pages 37-47. DOI: https://doi.org/10.1016/j.smallrumres.2015.05.017 |
DOI : |
10.1016/j.smallrumres.2015.05.017 |
Idioma : |
Inglés |
Notas : |
Article history: Received 13 October 2014; Received in revised form 26 May 2015; Accepted 27 May 2015; Available online 4 June 2015. Acknowledgments:
Authors thank David Paull and Drew Ferguson of CSIRO for their support. Additionally we want to thank Graeme Bremner, Andrew Blakely, Paul Ketly, Gary Taylor, Dave Lockrey, Michael Raue, Alistair Donaldson, Reg Woodgate, Andrew Eichorn, Sabrina Blakely, Grahame Chaffey, Jennie Hegarty, Jenny Wittig, and Sue Burgess for their contributions during the field and lab part of the research. Ignacio De Barbieri was supported by National Institute for Agricultural Research (INIA Uruguay). This work was supported in part by the Australian Government´s the Rumen Pangenome project within Filling the Research Gap (FTRG-1194147-75) program. |
Contenido : |
Neonatal modification of the microbial inoculum entering the gastrointestinal tract mayalter the rumen microbiome and consequently alter pre- and post-weaning rumen fer-mentation and growth of lambs. This study aimed to determine (1) if modifying the rumenby providing ewes with lipids differing in rumen-availability in late gestation and lacta-tion would affect performance of the lamb offspring and (2) whether cross-inoculation ofneonatal lambs with digesta from sheep on an alternate diet would modify the fermen-tation, size, and characteristics of the developing rumen and performance of lambs. Twodiets were offered ad libitum to 36 pregnant ewes (and to their lambs after lambing) from1 month pre-lambing until 2 weeks after weaning, after which lambs were grazed in treat-ment groups in paddocks. Diets consisted of 92% of a blend of oaten and lucerne choppedhay, 4% molasses and 4% fat (coconut oil ? CO or protected fat ? PF). Newborn lambs wereinoculated weekly while suckling (weeks one to eight postnatal) with fresh rumen fluidfrom donor ewes eating CO or PF diets, or were inoculated with water. Lamb body weight,condition score, wool growth, rumen fermentation, and rumen development were stud-ied during the first 5 months of life of the lambs. Diet and inoculation affected dry matterintake after weaning (P < 0.05), being lower in lambs eating CO or inoculated with water.Feeding of CO instead of PF reduced the protozoa population and daily methane produc-tion of lambs (P < 0.05). Type of gut inoculum had an effect on the concentrations of acetate,propionate, butyrate, total volatile fatty acids, and total protozoa numbers in the rumen oflambs during lactation. By weaning, effects of post-natal inoculation were only apparent forthe concentration of butyrate and the protozoal population. It is concluded that dietary fatcan affect rumen development and fermentation of the lambs. In addition inoculation withexogenous rumen fluid can modulate some aspects of rumen fermentation. However, lambperformance evaluated at weaning and at 5 months after birth was not altered by eitherdiet or early-life inoculum, suggesting that while the rumen microbiome may have plas-ticity in its composition, microbial changes do not necessarily result in improved animalperformance. MenosNeonatal modification of the microbial inoculum entering the gastrointestinal tract mayalter the rumen microbiome and consequently alter pre- and post-weaning rumen fer-mentation and growth of lambs. This study aimed to determine (1) if modifying the rumenby providing ewes with lipids differing in rumen-availability in late gestation and lacta-tion would affect performance of the lamb offspring and (2) whether cross-inoculation ofneonatal lambs with digesta from sheep on an alternate diet would modify the fermen-tation, size, and characteristics of the developing rumen and performance of lambs. Twodiets were offered ad libitum to 36 pregnant ewes (and to their lambs after lambing) from1 month pre-lambing until 2 weeks after weaning, after which lambs were grazed in treat-ment groups in paddocks. Diets consisted of 92% of a blend of oaten and lucerne choppedhay, 4% molasses and 4% fat (coconut oil ? CO or protected fat ? PF). Newborn lambs wereinoculated weekly while suckling (weeks one to eight postnatal) with fresh rumen fluidfrom donor ewes eating CO or PF diets, or were inoculated with water. Lamb body weight,condition score, wool growth, rumen fermentation, and rumen development were stud-ied during the first 5 months of life of the lambs. Diet and inoculation affected dry matterintake after weaning (P < 0.05), being lower in lambs eating CO or inoculated with water.Feeding of CO instead of PF reduced the protozoa population and daily methane produc-tion of lambs (P < 0.... Presentar Todo |
Palabras claves : |
COCONUT OIL; METHANE PRODUCTION; MICROBIAL ECOLOGY; PROTECTED FAT; RUMEN FLUID INOCULATION. |
Thesagro : |
MERINO; OVINOS; RUMEN. |
Asunto categoría : |
L01 Ganadería |
Marc : |
LEADER 03944naa a2200277 a 4500 001 1052784 005 2020-05-12 008 2015 bl uuuu u00u1 u #d 024 7 $a10.1016/j.smallrumres.2015.05.017$2DOI 100 1 $aDE BARBIERI, I. 245 $aPositive consequences of maternal diet and post-natal rumen inoculation on rumen function and animal performance of Merino lambs. 260 $c2015 500 $aArticle history: Received 13 October 2014; Received in revised form 26 May 2015; Accepted 27 May 2015; Available online 4 June 2015. Acknowledgments: Authors thank David Paull and Drew Ferguson of CSIRO for their support. Additionally we want to thank Graeme Bremner, Andrew Blakely, Paul Ketly, Gary Taylor, Dave Lockrey, Michael Raue, Alistair Donaldson, Reg Woodgate, Andrew Eichorn, Sabrina Blakely, Grahame Chaffey, Jennie Hegarty, Jenny Wittig, and Sue Burgess for their contributions during the field and lab part of the research. Ignacio De Barbieri was supported by National Institute for Agricultural Research (INIA Uruguay). This work was supported in part by the Australian Government´s the Rumen Pangenome project within Filling the Research Gap (FTRG-1194147-75) program. 520 $aNeonatal modification of the microbial inoculum entering the gastrointestinal tract mayalter the rumen microbiome and consequently alter pre- and post-weaning rumen fer-mentation and growth of lambs. This study aimed to determine (1) if modifying the rumenby providing ewes with lipids differing in rumen-availability in late gestation and lacta-tion would affect performance of the lamb offspring and (2) whether cross-inoculation ofneonatal lambs with digesta from sheep on an alternate diet would modify the fermen-tation, size, and characteristics of the developing rumen and performance of lambs. Twodiets were offered ad libitum to 36 pregnant ewes (and to their lambs after lambing) from1 month pre-lambing until 2 weeks after weaning, after which lambs were grazed in treat-ment groups in paddocks. Diets consisted of 92% of a blend of oaten and lucerne choppedhay, 4% molasses and 4% fat (coconut oil ? CO or protected fat ? PF). Newborn lambs wereinoculated weekly while suckling (weeks one to eight postnatal) with fresh rumen fluidfrom donor ewes eating CO or PF diets, or were inoculated with water. Lamb body weight,condition score, wool growth, rumen fermentation, and rumen development were stud-ied during the first 5 months of life of the lambs. Diet and inoculation affected dry matterintake after weaning (P < 0.05), being lower in lambs eating CO or inoculated with water.Feeding of CO instead of PF reduced the protozoa population and daily methane produc-tion of lambs (P < 0.05). Type of gut inoculum had an effect on the concentrations of acetate,propionate, butyrate, total volatile fatty acids, and total protozoa numbers in the rumen oflambs during lactation. By weaning, effects of post-natal inoculation were only apparent forthe concentration of butyrate and the protozoal population. It is concluded that dietary fatcan affect rumen development and fermentation of the lambs. In addition inoculation withexogenous rumen fluid can modulate some aspects of rumen fermentation. However, lambperformance evaluated at weaning and at 5 months after birth was not altered by eitherdiet or early-life inoculum, suggesting that while the rumen microbiome may have plas-ticity in its composition, microbial changes do not necessarily result in improved animalperformance. 650 $aMERINO 650 $aOVINOS 650 $aRUMEN 653 $aCOCONUT OIL 653 $aMETHANE PRODUCTION 653 $aMICROBIAL ECOLOGY 653 $aPROTECTED FAT 653 $aRUMEN FLUID INOCULATION 700 1 $aHEGARTY, R.S. 700 1 $aSILVEIRA, C. 700 1 $aODDY, V.H. 773 $tSmall Ruminant Research, Volume 129, August 2015, Pages 37-47. DOI: https://doi.org/10.1016/j.smallrumres.2015.05.017
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
17/05/2022 |
Actualizado : |
17/05/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
PACHECO-ROMERO, M.; VALLEJOS, M.; PARUELO, J.; ALCARAZ-SEGURA, D.; TORRES-GARCÍA, M. T.; SALINAS-BONILLO, M. J.; CABELLO, JAVIER |
Afiliación : |
MANUEL PACHECO-ROMERO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), Univ. of Almería, Spain; Dept. of Biology and Geology, Univ. of Almería, Spain; Faculty of Sustainability, Leuphana, Univ. Lüneburg, Germany.; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Cátedra de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Buenos Aires, Argentina; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Cátedra Métodos Cuantitativos y Sistemas de Información, Fac. Agronomía, Univ. de Buenos Aires, Bs.As., Argentina; Fac. de Ciencias, IECA, Universidad de la República, Mdeo, Uruguay.; DOMINGO ALCARAZ-SEGURA, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), Univ. of Almería, Spain;Dept. of Botany, Univ. of Granada, Spain; Iecolab, Interuniversity Institute for Earth System Research (IISTA), Univ. of Granada, Spain; M. TRINIDAD TORRES-GARCÍA, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain Department of Biology and Geology, University of Almería, Almería, Spain; MARÍA J. SALINAS-BONILLO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain Department of Biology and Geology, University of Almería, Almería, Spain; JAVIER CABELLO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain Department of Biology and Geology, University of Almería, Almería, Spain. |
Título : |
A data-driven methodological routine to identify key indicators for social-ecological system archetype mapping. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Environmental Research Letters, 2022, Volume 17, Issue 4, Article number 045019. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/ac5ded |
ISSN : |
1748-9318 |
DOI : |
10.1088/1748-9326/ac5ded |
Idioma : |
Inglés |
Notas : |
Article history: Received 2 July 2021; Revised 28 January 2022; Accepted for publication 15 March 2022; Published 30 March 2022.
License: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must
maintain attribution to the author(s) and the title of the work, journal citation and DOI. -- Article: Gold Open Access, Green Open Access.
Corresponding author: Pacheco-Romero, M.; Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain; email:manuel.pacheco@ual.es --
Funding text - We thank R Romero-Calcerrada and J M Requena-Mullor for helpful discussions, and three anonymous reviewers for their constructive suggestions to improve this paper. We also thank the Spanish Ministry of Economy and Business (Project CGL2014-61610-EXP) for the financial support, as well as the Spanish Ministry of Education for the FPU Predoctoral Fellowship of MPR (FPU14/06782) and MTTG (16/02214). MPR gratefully acknowledges funding from Universidad de Almería for a research stay at the Laboratory of Regional Analysis and Remote Sensing (LART) of University of Buenos Aires to develop this study. This research was done within the LTSER Platforms of the Arid Iberian South East—Spain (LTER_EU_ES_027) and Sierra Nevada/Granada (ES- SNE)—Spain (LTER_EU_ES_010), and contributes to the Global Land Programme. |
Contenido : |
ABSTRACT.- The spatial mapping of social-ecological system (SES) archetypes constitutes a fundamental tool to operationalize the SES concept in empirical research. Approaches to detect, map, and characterize SES archetypes have evolved over the last decade towards more integrative and comparable perspectives guided by SES conceptual frameworks and reference lists of variables. However, hardly any studies have investigated how to empirically identify the most relevant set of indicators to map the diversity of SESs. In this study, we propose a data-driven methodological routine based on multivariate statistical analysis to identify the most relevant indicators for mapping and characterizing SES archetypes in a particular region. Taking Andalusia (Spain) as a case study, we applied this methodological routine to 86 indicators representing multiple variables and dimensions of the SES. Additionally, we assessed how the empirical relevance of these indicators contributes to previous expert and empirical knowledge on key variables for characterizing SESs. We identified 29 key indicators that allowed us to map 15 SES archetypes encompassing natural, mosaic, agricultural, and urban systems, which uncovered contrasting land sharing and land sparing patterns throughout the territory. We found synergies but also disagreements between empirical and expert knowledge on the relevance of variables: agreement on their widespread relevance (32.7% of the variables, e.g. crop and livestock production, net primary productivity, population density); relevance conditioned by the context or the scale (16.3%, e.g. land protection, educational level); lack of agreement (20.4%, e.g. economic level, land tenure); need of further assessments due to the lack of expert or empirical knowledge (30.6%). Overall, our data-driven approach can contribute to more objective selection of relevant indicators for SES mapping, which may help to produce comparable and generalizable empirical knowledge on key variables for characterizing SESs, as well as to derive more representative descriptions and causal factor configurations in SES archetype analysis.
© 2022 The Author(s). Published by IOP Publishing Ltd. MenosABSTRACT.- The spatial mapping of social-ecological system (SES) archetypes constitutes a fundamental tool to operationalize the SES concept in empirical research. Approaches to detect, map, and characterize SES archetypes have evolved over the last decade towards more integrative and comparable perspectives guided by SES conceptual frameworks and reference lists of variables. However, hardly any studies have investigated how to empirically identify the most relevant set of indicators to map the diversity of SESs. In this study, we propose a data-driven methodological routine based on multivariate statistical analysis to identify the most relevant indicators for mapping and characterizing SES archetypes in a particular region. Taking Andalusia (Spain) as a case study, we applied this methodological routine to 86 indicators representing multiple variables and dimensions of the SES. Additionally, we assessed how the empirical relevance of these indicators contributes to previous expert and empirical knowledge on key variables for characterizing SESs. We identified 29 key indicators that allowed us to map 15 SES archetypes encompassing natural, mosaic, agricultural, and urban systems, which uncovered contrasting land sharing and land sparing patterns throughout the territory. We found synergies but also disagreements between empirical and expert knowledge on the relevance of variables: agreement on their widespread relevance (32.7% of the variables, e.g. crop and livestock prod... Presentar Todo |
Palabras claves : |
Coupled human and natural systems; Essential social-ecological system variables; Human-environment interactions; LONG-TERM SOCIAL-ECOLOGICAL RESEARCH; LTSER; Random forest; SOCIAL-ECOLOGICAL SYSTEM FRAMEWORK. |
Asunto categoría : |
A50 Investigación agraria |
URL : |
https://iopscience.iop.org/article/10.1088/1748-9326/ac5ded/pdf
|
Marc : |
LEADER 04770naa a2200313 a 4500 001 1063148 005 2022-05-17 008 2022 bl uuuu u00u1 u #d 022 $a1748-9318 024 7 $a10.1088/1748-9326/ac5ded$2DOI 100 1 $aPACHECO-ROMERO, M. 245 $aA data-driven methodological routine to identify key indicators for social-ecological system archetype mapping.$h[electronic resource] 260 $c2022 500 $aArticle history: Received 2 July 2021; Revised 28 January 2022; Accepted for publication 15 March 2022; Published 30 March 2022. License: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. -- Article: Gold Open Access, Green Open Access. Corresponding author: Pacheco-Romero, M.; Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain; email:manuel.pacheco@ual.es -- Funding text - We thank R Romero-Calcerrada and J M Requena-Mullor for helpful discussions, and three anonymous reviewers for their constructive suggestions to improve this paper. We also thank the Spanish Ministry of Economy and Business (Project CGL2014-61610-EXP) for the financial support, as well as the Spanish Ministry of Education for the FPU Predoctoral Fellowship of MPR (FPU14/06782) and MTTG (16/02214). MPR gratefully acknowledges funding from Universidad de Almería for a research stay at the Laboratory of Regional Analysis and Remote Sensing (LART) of University of Buenos Aires to develop this study. This research was done within the LTSER Platforms of the Arid Iberian South East—Spain (LTER_EU_ES_027) and Sierra Nevada/Granada (ES- SNE)—Spain (LTER_EU_ES_010), and contributes to the Global Land Programme. 520 $aABSTRACT.- The spatial mapping of social-ecological system (SES) archetypes constitutes a fundamental tool to operationalize the SES concept in empirical research. Approaches to detect, map, and characterize SES archetypes have evolved over the last decade towards more integrative and comparable perspectives guided by SES conceptual frameworks and reference lists of variables. However, hardly any studies have investigated how to empirically identify the most relevant set of indicators to map the diversity of SESs. In this study, we propose a data-driven methodological routine based on multivariate statistical analysis to identify the most relevant indicators for mapping and characterizing SES archetypes in a particular region. Taking Andalusia (Spain) as a case study, we applied this methodological routine to 86 indicators representing multiple variables and dimensions of the SES. Additionally, we assessed how the empirical relevance of these indicators contributes to previous expert and empirical knowledge on key variables for characterizing SESs. We identified 29 key indicators that allowed us to map 15 SES archetypes encompassing natural, mosaic, agricultural, and urban systems, which uncovered contrasting land sharing and land sparing patterns throughout the territory. We found synergies but also disagreements between empirical and expert knowledge on the relevance of variables: agreement on their widespread relevance (32.7% of the variables, e.g. crop and livestock production, net primary productivity, population density); relevance conditioned by the context or the scale (16.3%, e.g. land protection, educational level); lack of agreement (20.4%, e.g. economic level, land tenure); need of further assessments due to the lack of expert or empirical knowledge (30.6%). Overall, our data-driven approach can contribute to more objective selection of relevant indicators for SES mapping, which may help to produce comparable and generalizable empirical knowledge on key variables for characterizing SESs, as well as to derive more representative descriptions and causal factor configurations in SES archetype analysis. © 2022 The Author(s). Published by IOP Publishing Ltd. 653 $aCoupled human and natural systems 653 $aEssential social-ecological system variables 653 $aHuman-environment interactions 653 $aLONG-TERM SOCIAL-ECOLOGICAL RESEARCH 653 $aLTSER 653 $aRandom forest 653 $aSOCIAL-ECOLOGICAL SYSTEM FRAMEWORK 700 1 $aVALLEJOS, M. 700 1 $aPARUELO, J. 700 1 $aALCARAZ-SEGURA, D. 700 1 $aTORRES-GARCÍA, M. T. 700 1 $aSALINAS-BONILLO, M. J. 700 1 $aCABELLO, JAVIER 773 $tEnvironmental Research Letters, 2022, Volume 17, Issue 4, Article number 045019. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/ac5ded
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