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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
10/08/2021 |
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Data da última atualização: |
10/08/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, H. T.; LOPES, P. S.; CARVALHEIRA, J.; SILVA, D. A.; SILVA, A. A.; SILVA, F. F.; VERONEZE, R.; THOMPSON, G.; COSTA, C. N. |
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Afiliação: |
HUGO TEIXEIRA SILVA, Universidade Federal de Viçosa; PAULO SÁVIO LOPES, Universidade Federal de Viçosa; JÚLIO CARVALHEIRA, Universidade do Porto; DELVAN ALVES SILVA, Universidade Federal de Viçosa; ALESSANDRA ALVES SILVA, Universidade Federal de Viçosa; FABYANO FONSECA SILVA, Universidade Federal de Viçosa; RENATA VERONEZE, Universidade Federal de Viçosa; GERTRUDE THOMPSON, Universidade do Porto; CLAUDIO NAPOLIS COSTA, CNPGL. |
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Título: |
Autoregressive model for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Reproduction in Domestic Animals, v. 56, n. 3, p. 391-399, 2021. |
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Idioma: |
Inglês |
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Conteúdo: |
Reproductive efficiency is major determinant of the dairy herd profitability. Thus, reproductive traits have been widely used as selection objectives in the current dairy cattle breeding programs. We aimed to evaluate strategies to model days open (DO), calving interval (CI) and daughter pregnancy rate (DPR) in Brazilian Holstein cattle. These reproductive traits were analysed by the autoregressive (AR) model and compared with classical repeatability (REP) model using 127,280, 173,092 and 127,280 phenotypic records, respectively. The first three calving orders of cows from 1,469 Holstein herds were used here. The AR model reported lower values for Akaike Information Criteria and Mean Square Errors, as well as larger model probabilities, for all evaluated traits. Similarly, larger additive genetic and lower residual variances were estimated from AR model. Heritability and repeatability estimates were similar for both models. Heritabilities for DO, CI and DPR were 0.04, 0.07 and 0.04; and 0.05, 0.06 and 0.04 for AR and REP models, respectively. Individual EBV reliabilities estimated from AR for DO, CI and DPR were, in average, 0.29, 0.30 and 0.29 units higher than those obtained from REP model. Rank correlation between EBVs obtained from AR and REP models considering the top 10 bulls ranged from 0.72 to 0.76; and increased from 0.98 to 0.99 for the top 100 bulls. The percentage of coincidence between selected bulls from both methods increased over the number of bulls included in the top groups. Overall, the results of model-fitting criteria, genetic parameters estimates and EBV predictions were favourable to the AR model, indicating that it may be applied for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle. MenosReproductive efficiency is major determinant of the dairy herd profitability. Thus, reproductive traits have been widely used as selection objectives in the current dairy cattle breeding programs. We aimed to evaluate strategies to model days open (DO), calving interval (CI) and daughter pregnancy rate (DPR) in Brazilian Holstein cattle. These reproductive traits were analysed by the autoregressive (AR) model and compared with classical repeatability (REP) model using 127,280, 173,092 and 127,280 phenotypic records, respectively. The first three calving orders of cows from 1,469 Holstein herds were used here. The AR model reported lower values for Akaike Information Criteria and Mean Square Errors, as well as larger model probabilities, for all evaluated traits. Similarly, larger additive genetic and lower residual variances were estimated from AR model. Heritability and repeatability estimates were similar for both models. Heritabilities for DO, CI and DPR were 0.04, 0.07 and 0.04; and 0.05, 0.06 and 0.04 for AR and REP models, respectively. Individual EBV reliabilities estimated from AR for DO, CI and DPR were, in average, 0.29, 0.30 and 0.29 units higher than those obtained from REP model. Rank correlation between EBVs obtained from AR and REP models considering the top 10 bulls ranged from 0.72 to 0.76; and increased from 0.98 to 0.99 for the top 100 bulls. The percentage of coincidence between selected bulls from both methods increased over the number of bulls included ... Mostrar Tudo |
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Palavras-Chave: |
Avaliação genética; Cow fertility; Desempenho reprodutivo; Model evaluation. |
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Thesagro: |
Bovino; Fertilidade; Gado Holandês; Reprodução Animal. |
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Thesaurus Nal: |
Autocorrelation; Reproductive performance. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02755naa a2200337 a 4500
001 2133402
005 2021-08-10
008 2021 bl uuuu u00u1 u #d
100 1 $aSILVA, H. T.
245 $aAutoregressive model for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle.$h[electronic resource]
260 $c2021
520 $aReproductive efficiency is major determinant of the dairy herd profitability. Thus, reproductive traits have been widely used as selection objectives in the current dairy cattle breeding programs. We aimed to evaluate strategies to model days open (DO), calving interval (CI) and daughter pregnancy rate (DPR) in Brazilian Holstein cattle. These reproductive traits were analysed by the autoregressive (AR) model and compared with classical repeatability (REP) model using 127,280, 173,092 and 127,280 phenotypic records, respectively. The first three calving orders of cows from 1,469 Holstein herds were used here. The AR model reported lower values for Akaike Information Criteria and Mean Square Errors, as well as larger model probabilities, for all evaluated traits. Similarly, larger additive genetic and lower residual variances were estimated from AR model. Heritability and repeatability estimates were similar for both models. Heritabilities for DO, CI and DPR were 0.04, 0.07 and 0.04; and 0.05, 0.06 and 0.04 for AR and REP models, respectively. Individual EBV reliabilities estimated from AR for DO, CI and DPR were, in average, 0.29, 0.30 and 0.29 units higher than those obtained from REP model. Rank correlation between EBVs obtained from AR and REP models considering the top 10 bulls ranged from 0.72 to 0.76; and increased from 0.98 to 0.99 for the top 100 bulls. The percentage of coincidence between selected bulls from both methods increased over the number of bulls included in the top groups. Overall, the results of model-fitting criteria, genetic parameters estimates and EBV predictions were favourable to the AR model, indicating that it may be applied for genetic evaluation of longitudinal reproductive traits in Brazilian Holstein cattle.
650 $aAutocorrelation
650 $aReproductive performance
650 $aBovino
650 $aFertilidade
650 $aGado Holandês
650 $aReprodução Animal
653 $aAvaliação genética
653 $aCow fertility
653 $aDesempenho reprodutivo
653 $aModel evaluation
700 1 $aLOPES, P. S.
700 1 $aCARVALHEIRA, J.
700 1 $aSILVA, D. A.
700 1 $aSILVA, A. A.
700 1 $aSILVA, F. F.
700 1 $aVERONEZE, R.
700 1 $aTHOMPSON, G.
700 1 $aCOSTA, C. N.
773 $tReproduction in Domestic Animals$gv. 56, n. 3, p. 391-399, 2021.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Acre; Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental. |
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Data corrente: |
14/06/2019 |
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Data da última atualização: |
14/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
PIPONIOT, C.; RÖDIG, E.; PUTZ, F. E.; RUTISHAUSER, E.; SIST, P.; ASCARRUNZ, N.; BLANC, L.; DERROIRE, G.; DESCROIX, L.; GUEDES, M. C.; CORONADO, E. H.; HUTH, A.; KANASHIRO, M.; LICONA, J. C.; FREITAS, L. J. M. de; OLIVEIRA, M. V. N. d'; PEÑA-CLAROS, M.; RODNEY, K.; SHENKIN, A.; SOUZA, C. R. de; VIDAL, E.; WEST, T. A. P.; WORTEL, V.; HÉRAULT, B. |
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Afiliação: |
Camille Piponiot, CIRAD/Université de Guyane/Université des Antilles/Univ Montpellier; Edna Rödig, UFZ—Helmholtz Centre for Environmental Research, Leipzig, Germany; Francis E Putz, University of Florida, Gainesville, United States of America; Ervan Rutishauser, CarboForExpert, Hermance, Switzerland/Smithsonian Tropical Research Institute, Balboa, Panamá; Plinio Sist, Cirad, Univ Montpellier, Montpellier, France; Nataly Ascarrunz, Instituto Boliviano de Investigación Forestal, Santa Cruz, Bolivia; Lilian Blanc, Cirad, Univ Montpellier, UR Forests and Societies, Montpellier, France; Géraldine Derroire, Cirad,UMREcoFoG (Agroparistech, CNRS, Inra, Université des Antilles, Université de Guyane), Kourou, French Guiana, France; Laurent Descroix, ONF-Guyane, Réserve de Montabo, French Guiana, France; MARCELINO CARNEIRO GUEDES, CPAF-AP; Euridice Honorio Coronado, Instituto de Investigaciones de la Amazonía Peruana, Iquitos, Peru; Andreas Huth, UFZ—Helmholtz Centre for Environmental Research, Leipzig, Germany; MILTON KANASHIRO, CPATU; Juan Carlos Licona, Instituto Boliviano de Investigación Forestal, Santa Cruz, Bolivia; LUCAS JOSE MAZZEI DE FREITAS, CPATU; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; Marielos Peña-Claros, Forest Ecology and Forest Management Group, Wageningen University, Wageningen, The Netherlands; Ken Rodney, Iwokrama, Georgetown, Guyana; Alexander Shenkin, Environmental Change Institute, University of Oxford, Oxford, United Kingdom; CINTIA RODRIGUES DE SOUZA, CPAA; Edson Vidal, Departamento de Ciências Florestais, University of São Paulo, Piracicaba, São Paulo; Thales A. P. West, Department of Biology, University of Florida, Gainesville, United States of America; Verginia Wortel, Forest Management department, CELOS, Paramaribo, Surinam; Bruno Hérault, Cirad, Univ Montpellier,URForests and Societies, Montpellier, France/INP-HB (Institut National Polytechnique Félix Houphouët Boigny), Yamoussoukro, Côte d’Ivoire. |
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Título: |
Can timber provision from Amazonian production forests be sustainable? |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Environmental Research Letters, v. 14, n. 6, article 064014, 2019. |
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DOI: |
10.1088/1748-9326/ab195e |
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Idioma: |
Inglês |
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Notas: |
Supplementary material for this article is available online. |
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Conteúdo: |
Around 30Mm3 of sawlogs are extracted annually by selective logging of natural production forests in Amazonia, Earth?s most extensive tropical forest. Decisions concerning the management of these production forests will be of major importance for Amazonian forests? fate. To date, no regional assessment of selective logging sustainability supports decision-making. Based on data from 3500 ha of forest inventory plots, our modelling results show that the average periodic harvests of 20m3 ha?1 will not recover by the end of a standard 30 year cutting cycle. Timber recovery within a cutting cycle is enhanced by commercial acceptance of more species and with the adoption of longer cutting cycles and lower logging intensities. Recovery rates are faster in Western Amazonia than on the Guiana Shield. Our simulations suggest that regardless of cutting cycle duration and logging intensities, selectively logged forests are unlikely to meet timber demands over the long term as timber stocks are predicted to steadily decline. There is thus an urgent need to develop an integrated forest resource management policy that combines active management of production forests with the restoration of degraded and secondary forests for timber production. Without better management, reduced timber harvests and continued timber production declines are unavoidable. |
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Palavras-Chave: |
Ecosystem recovery; Exploración selectiva; Explotación forestal; Extração seletiva; Manejo florestal; Modelos de simulación; Regeneración natural; Selective logging; Tropical forestry. |
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Thesagro: |
Administração Florestal; Exploração Florestal; Extração da Madeira; Impacto Ambiental; Madeira Serrada; Modelo de Simulação; Regeneração Natural. |
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Thesaurus NAL: |
Environmental impact; Forest management; Logging; Lumber; Natural regeneration; Simulation models. |
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Categoria do assunto: |
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K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204774/1/CPAF-AP-2019-Can-timber-provision-from-Amazonian.pdf
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Marc: |
LEADER 03318naa a2200685 a 4500
001 2114232
005 2020-01-14
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1088/1748-9326/ab195e$2DOI
100 1 $aPIPONIOT, C.
245 $aCan timber provision from Amazonian production forests be sustainable?$h[electronic resource]
260 $c2019
500 $aSupplementary material for this article is available online.
520 $aAround 30Mm3 of sawlogs are extracted annually by selective logging of natural production forests in Amazonia, Earth?s most extensive tropical forest. Decisions concerning the management of these production forests will be of major importance for Amazonian forests? fate. To date, no regional assessment of selective logging sustainability supports decision-making. Based on data from 3500 ha of forest inventory plots, our modelling results show that the average periodic harvests of 20m3 ha?1 will not recover by the end of a standard 30 year cutting cycle. Timber recovery within a cutting cycle is enhanced by commercial acceptance of more species and with the adoption of longer cutting cycles and lower logging intensities. Recovery rates are faster in Western Amazonia than on the Guiana Shield. Our simulations suggest that regardless of cutting cycle duration and logging intensities, selectively logged forests are unlikely to meet timber demands over the long term as timber stocks are predicted to steadily decline. There is thus an urgent need to develop an integrated forest resource management policy that combines active management of production forests with the restoration of degraded and secondary forests for timber production. Without better management, reduced timber harvests and continued timber production declines are unavoidable.
650 $aEnvironmental impact
650 $aForest management
650 $aLogging
650 $aLumber
650 $aNatural regeneration
650 $aSimulation models
650 $aAdministração Florestal
650 $aExploração Florestal
650 $aExtração da Madeira
650 $aImpacto Ambiental
650 $aMadeira Serrada
650 $aModelo de Simulação
650 $aRegeneração Natural
653 $aEcosystem recovery
653 $aExploración selectiva
653 $aExplotación forestal
653 $aExtração seletiva
653 $aManejo florestal
653 $aModelos de simulación
653 $aRegeneración natural
653 $aSelective logging
653 $aTropical forestry
700 1 $aRÖDIG, E.
700 1 $aPUTZ, F. E.
700 1 $aRUTISHAUSER, E.
700 1 $aSIST, P.
700 1 $aASCARRUNZ, N.
700 1 $aBLANC, L.
700 1 $aDERROIRE, G.
700 1 $aDESCROIX, L.
700 1 $aGUEDES, M. C.
700 1 $aCORONADO, E. H.
700 1 $aHUTH, A.
700 1 $aKANASHIRO, M.
700 1 $aLICONA, J. C.
700 1 $aFREITAS, L. J. M. de
700 1 $aOLIVEIRA, M. V. N. d'
700 1 $aPEÑA-CLAROS, M.
700 1 $aRODNEY, K.
700 1 $aSHENKIN, A.
700 1 $aSOUZA, C. R. de
700 1 $aVIDAL, E.
700 1 $aWEST, T. A. P.
700 1 $aWORTEL, V.
700 1 $aHÉRAULT, B.
773 $tEnvironmental Research Letters$gv. 14, n. 6, article 064014, 2019.
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Embrapa Amapá (CPAF-AP) |
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