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Registro Completo |
Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
19/05/2017 |
Data da última atualização: |
19/05/2017 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
OLIVEIRA, P. A. V. de; BELLI FILHO, P.; COLDEBELLA, A.; TAVARES, J. M. R.; ROBIN, P. |
Afiliação: |
PAULO ARMANDO VICTORIA DE OLIVEIRA, CNPSA; PAULO BELLI FILHO, UFSC; ARLEI COLDEBELLA, CNPSA; JORGE MANUEL RODRIGUES TAVARES, UFSC; PAUL ROBIN, INRA. |
Título: |
Modélisation du volume et de la composition du lisier des porcelets en post-sevrage au Brésil. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: 49 ÈMES JOURNÉES DE LA RECHERCHE PORCINE, 49., 2017, Paris. Association Française de Zootechnie: INRA: IFIP, 2017. p. 251-256. |
Idioma: |
Francês |
Conteúdo: |
Nous avons développé un modèle de prédiction du volume et de la composition du lisier produit par les porcelets en post-sevrage, à partir des articles publiés dans la littérature. Ce modèle a été validé au cours d'une expérience conduite dans le sud du Brésil, pendant 14 mois, dans 4 fermes commerciales de production de porcelets (7 et 25 kg de poids vif). On considère les flux générés depuis l'entrée des aliments et de l?eau jusqu'à la sortie des effluents. Le modèle calcule la teneur des effluents en matière sèche, en azote et en phosphore en prenant en compte les effets de la gestion des animaux (effectifs, performances), de celle de l'alimentation (quantité et composition des aliments, abreuvement) et de celle du bâtiment (température ambiante, ventilation, évacuation des effluents, lavage). Le modèle a été validé à partir de 16 lots de porcelets en post-sevrage. Deux saisons (froide et chaude) avec un effectif total de 26.695 porcelets ont été étudiées. Le modèle s'est avéré fiable et robuste pour la prédiction du volume d?effluent produit (R2 = 0,93), sa composition en azote (R2 = 0,69) et en phosphore (R2 = 0,67). Le modèle ainsi adapté est utilisable en conditions réelles de production porcine dans le sud du Brésil. A model to predict the volume and composition of the manure produced in commercial farms of weaned piglets was developed from articles published in the literature. The model was then validated in an experiment conducted over 14 months in 4 commercial farms (7 to 25 kg live weight of piglets) in southern Brazil. The fluxes of water and feed consumed by the animals were used as model inputs, and the manure produced was predicted. The dry matter, nitrogen and phosphorus contents were predicted by the model considering the effects of animal management (herd size and animal performance), feed and water management (quantity and composition of feed, water use) and housing conditions (room temperature, ventilation, manure disposal, cleaning facilities). The model was validated using the results of 16 batches of weaned piglets. Two periods of time (cold and warm periods), with a total of 26,695 piglets were monitored. The model proved to be robust and reliable to predict the volume of manure produced (R2 = 0.93) as well as its content in nitrogen (R2 = 0.69) and phosphorus (R2 = 0.67). The model can be used in commercial farms in southern Brazil. MenosNous avons développé un modèle de prédiction du volume et de la composition du lisier produit par les porcelets en post-sevrage, à partir des articles publiés dans la littérature. Ce modèle a été validé au cours d'une expérience conduite dans le sud du Brésil, pendant 14 mois, dans 4 fermes commerciales de production de porcelets (7 et 25 kg de poids vif). On considère les flux générés depuis l'entrée des aliments et de l?eau jusqu'à la sortie des effluents. Le modèle calcule la teneur des effluents en matière sèche, en azote et en phosphore en prenant en compte les effets de la gestion des animaux (effectifs, performances), de celle de l'alimentation (quantité et composition des aliments, abreuvement) et de celle du bâtiment (température ambiante, ventilation, évacuation des effluents, lavage). Le modèle a été validé à partir de 16 lots de porcelets en post-sevrage. Deux saisons (froide et chaude) avec un effectif total de 26.695 porcelets ont été étudiées. Le modèle s'est avéré fiable et robuste pour la prédiction du volume d?effluent produit (R2 = 0,93), sa composition en azote (R2 = 0,69) et en phosphore (R2 = 0,67). Le modèle ainsi adapté est utilisable en conditions réelles de production porcine dans le sud du Brésil. A model to predict the volume and composition of the manure produced in commercial farms of weaned piglets was developed from articles published in the literature. The model was then validated in an experiment conducted over 14 months in 4 commercial farm... Mostrar Tudo |
Thesagro: |
Agricultura sustentável; Dejeto; Desmama; Leitão; Manejo; Meio ambiente; Suíno. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/160062/1/final8438.pdf
|
Marc: |
LEADER 03222nam a2200241 a 4500 001 2069788 005 2017-05-19 008 2017 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, P. A. V. de 245 $aModélisation du volume et de la composition du lisier des porcelets en post-sevrage au Brésil.$h[electronic resource] 260 $aIn: 49 ÈMES JOURNÉES DE LA RECHERCHE PORCINE, 49., 2017, Paris. Association Française de Zootechnie: INRA: IFIP, 2017. p. 251-256.$c2017 520 $aNous avons développé un modèle de prédiction du volume et de la composition du lisier produit par les porcelets en post-sevrage, à partir des articles publiés dans la littérature. Ce modèle a été validé au cours d'une expérience conduite dans le sud du Brésil, pendant 14 mois, dans 4 fermes commerciales de production de porcelets (7 et 25 kg de poids vif). On considère les flux générés depuis l'entrée des aliments et de l?eau jusqu'à la sortie des effluents. Le modèle calcule la teneur des effluents en matière sèche, en azote et en phosphore en prenant en compte les effets de la gestion des animaux (effectifs, performances), de celle de l'alimentation (quantité et composition des aliments, abreuvement) et de celle du bâtiment (température ambiante, ventilation, évacuation des effluents, lavage). Le modèle a été validé à partir de 16 lots de porcelets en post-sevrage. Deux saisons (froide et chaude) avec un effectif total de 26.695 porcelets ont été étudiées. Le modèle s'est avéré fiable et robuste pour la prédiction du volume d?effluent produit (R2 = 0,93), sa composition en azote (R2 = 0,69) et en phosphore (R2 = 0,67). Le modèle ainsi adapté est utilisable en conditions réelles de production porcine dans le sud du Brésil. A model to predict the volume and composition of the manure produced in commercial farms of weaned piglets was developed from articles published in the literature. The model was then validated in an experiment conducted over 14 months in 4 commercial farms (7 to 25 kg live weight of piglets) in southern Brazil. The fluxes of water and feed consumed by the animals were used as model inputs, and the manure produced was predicted. The dry matter, nitrogen and phosphorus contents were predicted by the model considering the effects of animal management (herd size and animal performance), feed and water management (quantity and composition of feed, water use) and housing conditions (room temperature, ventilation, manure disposal, cleaning facilities). The model was validated using the results of 16 batches of weaned piglets. Two periods of time (cold and warm periods), with a total of 26,695 piglets were monitored. The model proved to be robust and reliable to predict the volume of manure produced (R2 = 0.93) as well as its content in nitrogen (R2 = 0.69) and phosphorus (R2 = 0.67). The model can be used in commercial farms in southern Brazil. 650 $aAgricultura sustentável 650 $aDejeto 650 $aDesmama 650 $aLeitão 650 $aManejo 650 $aMeio ambiente 650 $aSuíno 700 1 $aBELLI FILHO, P. 700 1 $aCOLDEBELLA, A. 700 1 $aTAVARES, J. M. R. 700 1 $aROBIN, P.
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Registro original: |
Embrapa Suínos e Aves (CNPSA) |
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Biblioteca(s): |
Embrapa Florestas; Embrapa Solos. |
Data corrente: |
20/06/2022 |
Data da última atualização: |
10/11/2022 |
Tipo da produção científica: |
Nota Técnica/Nota Científica |
Autoria: |
LOMBARDO, U.; ARROYO-KALIN, M.; SCHMIDT, M.; HUISMAN, H.; LIMA, H. P.; MORAES, M. de P.; NEVES, E. G.; CLEMENT, C. R.; FONSECA, J. A. da; ALMEIDA, F. O. de; ALHO, C. F. B. V.; RAMSEY, C. B.; BROWN, G. G.; CAVALLINI, M. S.; COSTA, M. L. da; CUNHA, L.; ANJOS, L. H. C. dos; DENEVAN, W. M.; FAUSTO, C.; CAROMANO, C. F.; FONTANA, A.; FRANCHETTO, B.; GLASER, B.; HECKENBERGER, M. J.; HECHT, S.; HONORATO, V.; JAROSCH, K. A.; JUNQUEIRA, A. B.; KATER, T.; TAMANAHA, E. K.; KUYPER, T. W.; LEHMANN, J.; MADELLA, M.; MAEZUMI, S. Y.; CASCON, L. M.; MAYLE, F. E.; MCKEY, D.; MORAES, B.; MORCOTE-RÍOS, G.; BARBOSA, C. A. P.; MAGALHÃES, M. P.; PRESTES-CARNEIRO, G.; PUGLIESE, F.; PUPIM, F. N.; RACZKA, M. F.; PY-DANIEL, A. R.; ROCHA, B. C. da; RODRIGUES, L.; ROSTAIN, S.; MACEDO, R. S.; SHOCK, M. P.; SPRAFKE, T.; BASSI, F. S.; VALLE, R.; VIDAL-TORRADO, P.; VILLAGRÁN, X. S.; WATLING, J.; WEBER, S. L.; TEIXEIRA, W. G. |
Afiliação: |
UMBERTO LOMBARDO, Institut de Ciència i Tecnologia Ambientals, Universitat Autònoma de Barcelona (ICTA-UAB); MANUEL ARROYO-KALIN, Institute of Archaeology; MORGAN SCHMIDT, Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology; HANS HUISMAN, University of Groningen; HELENA P. LIMA, Museu Paraense Emílio Goeldi; CLAIDE DE PAULA MORAES, Universidade Federal do Oeste do Pará; EDUARDO G. NEVES, University of São Paulo; CHARLES R. CLEMENT, Instituto Nacional de Pesquisas da Amazônia; JOÃO AIRES DA FONSECA, ArqueoMaquina; FERNANDO OZORIO DE ALMEIDA, Universidade do Estado do Rio de Janeiro; CARLOS FRANCISCO BRAZÃO VIEIRA ALHO, Wageningen University & Research; CHRISTOPHER BRONK RAMSEY, University of Oxford; GEORGE GARDNER BROWN, CNPF; MARTA S. CAVALLINI, University of São Paulo; MARCONDES LIMA DA COSTA, Federal University of Pará; LUÍS CUNHA, Universidade de Coimbra; LÚCIA HELENA C. DOS ANJOS, Federal Rural University of Rio de Janeiro; WILLIAM M. DENEVAN, University of Wisconsin-Madison; CARLOS FAUSTO, Universidade Federal do Rio de Janeiro; CAROLINE FERNANDES CAROMANO, Naturalis Biodiversity Center; ADEMIR FONTANA, CNPS; BRUNA FRANCHETTO, Universidade Federal do Rio de Janeiro; BRUNO GLASER, Martin-Luther-Universität Halle-Wittenberg; MICHAEL J. HECKENBERGER, University of Florida; SUSANNA HECHT, School of Public Affairs, UCLA; VINICIUS HONORATO, Universidade Federal do Oeste do Pará; KLAUS A. JAROSCH, University of Bern; ANDRÉ BRAGA JUNQUEIRA, Universitat Autònoma de Barcelona (ICTA-UAB); THIAGO KATER, University of São Paulo; EDUARDO K. TAMANAHA, Instituto de Desenvolvimento Sustentável Mamirauá; THOMAS W. KUYPER, Wageningen University & Research, Wageningen; JOHANNES LEHMANN, Cornell University; MARCO MADELLA, Institució Catalana de Recerca i Estudis Avançats (ICREA); S. YOSHI MAEZUMI, University of Amsterdam; LEANDRO MATTHEWS CASCON, Leiden University; FRANCIS E. MAYLE, University of Reading; DOYLE MCKEY, Univ Paul-Valéry Montpellier; BRUNO MORAES, Amazon Hopes Collective; GASPAR MORCOTE-RÍOS, Universidad Nacional de Colombia; CARLOS A. PALHETA BARBOSA, Institute of National Historic and Artistic Heritage; MARCOS PEREIRA MAGALHÃES, Museu Paraense Emílio Goeldi; GABRIELA PRESTES-CARNEIRO, Universidade Federal do Oeste do Pará; FRANCISCO PUGLIESE, University of São Paulo; FABIANO N. PUPIM, Universidade Federal de São Paulo; MARCO F. RACZKA, University of Reading; ANNE RAPP PY-DANIEL, Universidade Federal do Oeste do Pará; BRUNA CIGARAN DA ROCHA, Universidade Federal do Oeste do Pará; LEONOR RODRIGUES, Agroscope; STÉPHEN ROSTAIN, French National Centre for Scientific Research; RODRIGO SANTANA MACEDO, Instituto Nacional do Semiárido; MYRTLE P. SHOCK, Universidade Federal do Oeste do Pará; TOBIAS SPRAFKE, Center of Competence for Soils; FILIPPO STAMPANONI BASSI, Museu da Amazônia; RAONI VALLE, Universidade Federal do Oeste do Pará; PABLO VIDAL-TORRADO, University of São Paulo; XIMENA S. VILLAGRÁN, University of São Paulo; JENNIFER WATLING, University of São Paulo; SADIE L. WEBER, University of São Paulo; WENCESLAU GERALDES TEIXEIRA, CNPS. |
Título: |
Evidence confirms an anthropic origin of Amazonian Dark Earths. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Nature Communications, v. 13, n. 3444, 2022. |
Páginas: |
6 p. |
DOI: |
https://doi.org/10.1038/s41467-022-31064-2 |
Idioma: |
Inglês Português |
Conteúdo: |
First described over 120 years ago in Brazil, Amazonian Dark Earths (ADEs) are expanses of dark soil that are exceptionally fertile and contain large quantities of archaeological artefacts. The elevated fertility of the dark and often deep A horizon of ADEs is widely regarded as an outcome of pre-Columbian human influence1. Archaeological research provides clear evidence that their widespread formation in lowland South America was concentrated in the Late Holocene, an outcome of sharp human population growth that peaked towards 1000 BP2,3,4. In their recent paper Silva et al.5 argue that the higher fertility of ADEs is principally a result of fluvial deposition and, as a corollary, that pre-Columbian peoples just made use of these locales, contributing little to their enhanced nutrient status.
Soil formation is inherently complex and often difficult to interpret, requiring a combination of geochemical data, stratigraphy, and dating. Although Silva et al. use this combination of methods to make their case5, their hypothesis, based on the analysis of a single ADE site and its immediate surroundings (Caldeirão, see maps in Silva et al.5), is too limited to distinguish among the multiple possible mechanisms for ADE formation. Moreover, it disregards or misreads a wealth of evidence produced by archaeologists, soil scientists, geographers and anthropologists, showing that ADEs are anthropic soils formed on land surfaces enriched by inputs associated with pre-Columbian sedentary settlement6,7,8,9. To be accepted, and be pertinent at a regional level, Silva et al.’s hypothesis5 would need to be supported by solid evidence (from numerous ADE sites), which we demonstrate is lacking. MenosFirst described over 120 years ago in Brazil, Amazonian Dark Earths (ADEs) are expanses of dark soil that are exceptionally fertile and contain large quantities of archaeological artefacts. The elevated fertility of the dark and often deep A horizon of ADEs is widely regarded as an outcome of pre-Columbian human influence1. Archaeological research provides clear evidence that their widespread formation in lowland South America was concentrated in the Late Holocene, an outcome of sharp human population growth that peaked towards 1000 BP2,3,4. In their recent paper Silva et al.5 argue that the higher fertility of ADEs is principally a result of fluvial deposition and, as a corollary, that pre-Columbian peoples just made use of these locales, contributing little to their enhanced nutrient status.
Soil formation is inherently complex and often difficult to interpret, requiring a combination of geochemical data, stratigraphy, and dating. Although Silva et al. use this combination of methods to make their case5, their hypothesis, based on the analysis of a single ADE site and its immediate surroundings (Caldeirão, see maps in Silva et al.5), is too limited to distinguish among the multiple possible mechanisms for ADE formation. Moreover, it disregards or misreads a wealth of evidence produced by archaeologists, soil scientists, geographers and anthropologists, showing that ADEs are anthropic soils formed on land surfaces enriched by inputs associated with pre-Columbian sedentary ... Mostrar Tudo |
Palavras-Chave: |
Amazonian Dark Earths; Arqueologia; Ciencias ambientais; Environmental sciences. |
Thesagro: |
Microbiologia do Solo; Solo. |
Thesaurus NAL: |
Amazonia; Archaeology; Terra preta. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1144138/1/NatureCommunications-2022-EvidenceConfirmAmazonDarkEarths.pdf
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Marc: |
LEADER 04190naa a2200949 a 4500 001 2144138 005 2022-11-10 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1038/s41467-022-31064-2$2DOI 100 1 $aLOMBARDO, U. 245 $aEvidence confirms an anthropic origin of Amazonian Dark Earths.$h[electronic resource] 260 $c2022 300 $a6 p. 520 $aFirst described over 120 years ago in Brazil, Amazonian Dark Earths (ADEs) are expanses of dark soil that are exceptionally fertile and contain large quantities of archaeological artefacts. The elevated fertility of the dark and often deep A horizon of ADEs is widely regarded as an outcome of pre-Columbian human influence1. Archaeological research provides clear evidence that their widespread formation in lowland South America was concentrated in the Late Holocene, an outcome of sharp human population growth that peaked towards 1000 BP2,3,4. In their recent paper Silva et al.5 argue that the higher fertility of ADEs is principally a result of fluvial deposition and, as a corollary, that pre-Columbian peoples just made use of these locales, contributing little to their enhanced nutrient status. Soil formation is inherently complex and often difficult to interpret, requiring a combination of geochemical data, stratigraphy, and dating. Although Silva et al. use this combination of methods to make their case5, their hypothesis, based on the analysis of a single ADE site and its immediate surroundings (Caldeirão, see maps in Silva et al.5), is too limited to distinguish among the multiple possible mechanisms for ADE formation. Moreover, it disregards or misreads a wealth of evidence produced by archaeologists, soil scientists, geographers and anthropologists, showing that ADEs are anthropic soils formed on land surfaces enriched by inputs associated with pre-Columbian sedentary settlement6,7,8,9. To be accepted, and be pertinent at a regional level, Silva et al.’s hypothesis5 would need to be supported by solid evidence (from numerous ADE sites), which we demonstrate is lacking. 650 $aAmazonia 650 $aArchaeology 650 $aTerra preta 650 $aMicrobiologia do Solo 650 $aSolo 653 $aAmazonian Dark Earths 653 $aArqueologia 653 $aCiencias ambientais 653 $aEnvironmental sciences 700 1 $aARROYO-KALIN, M. 700 1 $aSCHMIDT, M. 700 1 $aHUISMAN, H. 700 1 $aLIMA, H. P. 700 1 $aMORAES, M. de P. 700 1 $aNEVES, E. G. 700 1 $aCLEMENT, C. R. 700 1 $aFONSECA, J. A. da 700 1 $aALMEIDA, F. O. de 700 1 $aALHO, C. F. B. V. 700 1 $aRAMSEY, C. B. 700 1 $aBROWN, G. G. 700 1 $aCAVALLINI, M. S. 700 1 $aCOSTA, M. L. da 700 1 $aCUNHA, L. 700 1 $aANJOS, L. H. C. dos 700 1 $aDENEVAN, W. M. 700 1 $aFAUSTO, C. 700 1 $aCAROMANO, C. F. 700 1 $aFONTANA, A. 700 1 $aFRANCHETTO, B. 700 1 $aGLASER, B. 700 1 $aHECKENBERGER, M. J. 700 1 $aHECHT, S. 700 1 $aHONORATO, V. 700 1 $aJAROSCH, K. A. 700 1 $aJUNQUEIRA, A. B. 700 1 $aKATER, T. 700 1 $aTAMANAHA, E. K. 700 1 $aKUYPER, T. W. 700 1 $aLEHMANN, J. 700 1 $aMADELLA, M. 700 1 $aMAEZUMI, S. Y. 700 1 $aCASCON, L. M. 700 1 $aMAYLE, F. E. 700 1 $aMCKEY, D. 700 1 $aMORAES, B. 700 1 $aMORCOTE-RÍOS, G. 700 1 $aBARBOSA, C. A. P. 700 1 $aMAGALHÃES, M. P. 700 1 $aPRESTES-CARNEIRO, G. 700 1 $aPUGLIESE, F. 700 1 $aPUPIM, F. N. 700 1 $aRACZKA, M. F. 700 1 $aPY-DANIEL, A. R. 700 1 $aROCHA, B. C. da 700 1 $aRODRIGUES, L. 700 1 $aROSTAIN, S. 700 1 $aMACEDO, R. S. 700 1 $aSHOCK, M. P. 700 1 $aSPRAFKE, T. 700 1 $aBASSI, F. S. 700 1 $aVALLE, R. 700 1 $aVIDAL-TORRADO, P. 700 1 $aVILLAGRÁN, X. S. 700 1 $aWATLING, J. 700 1 $aWEBER, S. L. 700 1 $aTEIXEIRA, W. G. 773 $tNature Communications$gv. 13, n. 3444, 2022.
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