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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
23/02/2023 |
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Data da última atualização: |
06/09/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CARRARA, E. R.; PEIXOTO, M. G. C. D.; SILVA, A. A. da; BRUNELI, F. A. T.; VENTURA, H. T.; ZADRA, L. E. F.; JOSAHKIAN, L. A.; VERONEZE, R.; LOPES, P. S. |
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Afiliação: |
EULA REGINA CARRARA, Universidade Federal de Viçosa; MARIA GABRIELA CAMPOLINA D PEIXOTO, CNPGL; ALESSANDRA ALVES DA SILVA, Universidade Estadual Paulista; FRANK ANGELO TOMITA BRUNELI, CNPGL; HENRIQUE TORRES VENTURA, Associação Brasileira dos Criadores de Zebu; LENIRA EL FARO ZADRA, Centro Brasileiro de Melhoramento Genético do Guzerá; LUIZ ANTÔNIO JOSAHKIAN, Associação Brasileira dos Criadores de Zebu; RENATA VERONEZE, Universidade Federal de Viçosa; PAULO SÁVIO LOPES, Universidade Federal de Viçosa. |
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Título: |
Genomic prediction in Brazilian Guzerá cattle: application of a single-step approach to productive and reproductive traits. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Tropical Animal Health and Production, v. 55, article 48, 2023. |
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DOI: |
https://doi.org/10.1007/s11250-023-03484-9 |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to investigate the feasibility of genomic prediction for productive and reproductive traits in Guzerá cattle using single-step genomic best linear unbiased prediction (ssGBLUP). Evaluations included the 305-day cumulative yields (frst lactation, in kg) of milk, lactose, protein, fat, and total solids; adjusted body weight (kg) at the ages of 450, 365, and 210 days; and age at frst calving (in days), from a database containing 197,283 measurements from Guzerá males and females born between 1954 and 2018. The pedigree included 433,823 animals spanning up to 14 overlapping generations. A total of 1618 animals were genotyped. The analyses were performed using ssGBLUP and traditional BLUP methods. Predictive ability and bias were accessed using cross-validation: predictive ability was similar between the methods and ranged from 0.27 to 0.47 for the genomic-based model and from 0.30 to 0.45 for the pedigree-based model; the bias was also similar between the methods, ranging from 0.88 to 1.35 in the genomic-based model and from 0.96 to 1.41 in the pedigree-based model. The individual accuracies of breeding values were evidently increased in the genomic evaluation, with values ranging from 0.41 to 0.56 in the genomic-based model and from 0.26 to 0.54 in the pedigree-based model. Even based on a small number of genotyped animals and a small database for some traits, the results suggest that ssGBLUP is feasible and may be applied to national genetic evaluation of the breed to increase the accuracy of breeding values without greatly impacting predictive ability and bias. MenosThis study aimed to investigate the feasibility of genomic prediction for productive and reproductive traits in Guzerá cattle using single-step genomic best linear unbiased prediction (ssGBLUP). Evaluations included the 305-day cumulative yields (frst lactation, in kg) of milk, lactose, protein, fat, and total solids; adjusted body weight (kg) at the ages of 450, 365, and 210 days; and age at frst calving (in days), from a database containing 197,283 measurements from Guzerá males and females born between 1954 and 2018. The pedigree included 433,823 animals spanning up to 14 overlapping generations. A total of 1618 animals were genotyped. The analyses were performed using ssGBLUP and traditional BLUP methods. Predictive ability and bias were accessed using cross-validation: predictive ability was similar between the methods and ranged from 0.27 to 0.47 for the genomic-based model and from 0.30 to 0.45 for the pedigree-based model; the bias was also similar between the methods, ranging from 0.88 to 1.35 in the genomic-based model and from 0.96 to 1.41 in the pedigree-based model. The individual accuracies of breeding values were evidently increased in the genomic evaluation, with values ranging from 0.41 to 0.56 in the genomic-based model and from 0.26 to 0.54 in the pedigree-based model. Even based on a small number of genotyped animals and a small database for some traits, the results suggest that ssGBLUP is feasible and may be applied to national genetic evaluation of the ... Mostrar Tudo |
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Palavras-Chave: |
Predição genômica. |
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Thesagro: |
Bovino; Gado Guzerá; Raça; Reprodução Animal. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02508naa a2200289 a 4500
001 2151876
005 2023-09-06
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11250-023-03484-9$2DOI
100 1 $aCARRARA, E. R.
245 $aGenomic prediction in Brazilian Guzerá cattle$bapplication of a single-step approach to productive and reproductive traits.$h[electronic resource]
260 $c2023
520 $aThis study aimed to investigate the feasibility of genomic prediction for productive and reproductive traits in Guzerá cattle using single-step genomic best linear unbiased prediction (ssGBLUP). Evaluations included the 305-day cumulative yields (frst lactation, in kg) of milk, lactose, protein, fat, and total solids; adjusted body weight (kg) at the ages of 450, 365, and 210 days; and age at frst calving (in days), from a database containing 197,283 measurements from Guzerá males and females born between 1954 and 2018. The pedigree included 433,823 animals spanning up to 14 overlapping generations. A total of 1618 animals were genotyped. The analyses were performed using ssGBLUP and traditional BLUP methods. Predictive ability and bias were accessed using cross-validation: predictive ability was similar between the methods and ranged from 0.27 to 0.47 for the genomic-based model and from 0.30 to 0.45 for the pedigree-based model; the bias was also similar between the methods, ranging from 0.88 to 1.35 in the genomic-based model and from 0.96 to 1.41 in the pedigree-based model. The individual accuracies of breeding values were evidently increased in the genomic evaluation, with values ranging from 0.41 to 0.56 in the genomic-based model and from 0.26 to 0.54 in the pedigree-based model. Even based on a small number of genotyped animals and a small database for some traits, the results suggest that ssGBLUP is feasible and may be applied to national genetic evaluation of the breed to increase the accuracy of breeding values without greatly impacting predictive ability and bias.
650 $aBovino
650 $aGado Guzerá
650 $aRaça
650 $aReprodução Animal
653 $aPredição genômica
700 1 $aPEIXOTO, M. G. C. D.
700 1 $aSILVA, A. A. da
700 1 $aBRUNELI, F. A. T.
700 1 $aVENTURA, H. T.
700 1 $aZADRA, L. E. F.
700 1 $aJOSAHKIAN, L. A.
700 1 $aVERONEZE, R.
700 1 $aLOPES, P. S.
773 $tTropical Animal Health and Production$gv. 55, article 48, 2023.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
31/03/2021 |
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Data da última atualização: |
18/10/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
RODRIGUES, A. F.; LATAWIEC, A. E.; REID, B. J.; SOLÓRZANO, A.; SCHULER, A. E.; LACERDA, C.; FIDALGO, E. C. C.; SCARANO, F. R.; TUBENCHLAK, F.; PENA, I.; VICENTE-VICENTE, J. L.; KORYS, K. A.; COOPER, M.; FERNANDES, N. F.; PRADO, R. B.; MAIOLI, V.; DIB, V.; TEIXEIRA, W. G. |
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Afiliação: |
ALINE F. RODRIGUES, PUC-RJ/INTERNATIONAL INSTITUTE FOR SUSTAINABILITY; AGNIESZKA E. LATAWIEC, PUC-RIO/INTERNATIONAL INSTITUTE FOR SUSTAINABILITY/UNIVERSITY OF AGRICULTURE IN KRAKÓW/UNIVERSITY OF EAST ANGLIA; BRIAN J. REID, UNIVERSITY OF EAST ANGLIA; ALEXANDRO SOLÓRZANO, PUC-RJ; AZENETH EUFRAUSINO SCHULER, CNPS; CARINE LACERDA, PUC-RJ; ELAINE CRISTINA CARDOSO FIDALGO, CNPS; FABIO R. SCARANO, UFRJ/BRAZILIAN PLATFORM ON BIODIVERSITY AND ECOSYSTEM SERVICE; FERNANDA TUBENCHLAK, INTERNATIONAL INSTITUTE FOR SUSTAINABILITY; INGRID PENA, PUC-RJ/INTERNATIONAL INSTITUTE FOR SUSTAINABILITY; JOSE LUIS VICENTE-VICENTE, LEIBNIZ CENTRE FOR AGRICULTURAL LANDSCAPE RESEARCH; KATARZYNA A. KORYS, INTERNATIONAL INSTITUTE FOR SUSTAINABILITY; MIGUEL COOPER, USP/ESALQ; NELSON F. FERNANDES, UFRJ; RACHEL BARDY PRADO, CNPS; VERONICA MAIOLI, INTERNATIONAL INSTITUTE FOR SUSTAINABILITY; VIVIANE DIB, INTERNATIONAL INSTITUTE FOR SUSTAINABILITY/UFRJ; WENCESLAU GERALDES TEIXEIRA, CNPS. |
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Título: |
Systematic review of soil ecosystem services in tropical regions. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Royal Society Open Science, v. 8, n. 3, 201584, Mar. 2021. |
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DOI: |
https://doi.org/10.1098/rsos.201584 |
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Idioma: |
Inglês |
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Conteúdo: |
Soil ecosystem service (SES) approaches evidence the importance of soil for human well-being, contribute to improving dialogue between science and decision-making and encourage the translation of scientific results into public policies. Herein, through systematic review, we assess the state of the art of SES approaches in tropical regions. Through this review, 41 publications were identified; while most of these studies considered SES, a lack of a consistent framework to define SES was apparent. Most studies measured soil natural capital and processes, while only three studies undertook monetary valuation. Although the number of publications increased (from 1 to 41), between 2001 and 2019, the total number of publications for tropical regions is still small. Countries with the largest number of publications were Brazil (n = 8), Colombia (n = 6) and Mexico (n = 4). This observation emphasizes an important knowledge gap pertaining to SES approaches and their link to tropical regions. With global momentum behind SES approaches, there is an opportunity to integrate SES approaches into policy and practice in tropical regions. The use of SES evaluation tools in tropical regions could transform how land use decisions are informed, mitigating soil degradation and protecting the ecosystems that soil underpins. |
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Palavras-Chave: |
Região Tropical; Serviços Ecossistêmicos do Solo. |
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Thesagro: |
Ecossistema; Solo. |
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Thesaurus NAL: |
Ecosystem services; Soil ecosystems. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222291/1/Systematic-review-of-soil-ecosystem-services-2021.pdf
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Marc: |
LEADER 02462naa a2200409 a 4500
001 2131012
005 2021-10-18
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1098/rsos.201584$2DOI
100 1 $aRODRIGUES, A. F.
245 $aSystematic review of soil ecosystem services in tropical regions.$h[electronic resource]
260 $c2021
520 $aSoil ecosystem service (SES) approaches evidence the importance of soil for human well-being, contribute to improving dialogue between science and decision-making and encourage the translation of scientific results into public policies. Herein, through systematic review, we assess the state of the art of SES approaches in tropical regions. Through this review, 41 publications were identified; while most of these studies considered SES, a lack of a consistent framework to define SES was apparent. Most studies measured soil natural capital and processes, while only three studies undertook monetary valuation. Although the number of publications increased (from 1 to 41), between 2001 and 2019, the total number of publications for tropical regions is still small. Countries with the largest number of publications were Brazil (n = 8), Colombia (n = 6) and Mexico (n = 4). This observation emphasizes an important knowledge gap pertaining to SES approaches and their link to tropical regions. With global momentum behind SES approaches, there is an opportunity to integrate SES approaches into policy and practice in tropical regions. The use of SES evaluation tools in tropical regions could transform how land use decisions are informed, mitigating soil degradation and protecting the ecosystems that soil underpins.
650 $aEcosystem services
650 $aSoil ecosystems
650 $aEcossistema
650 $aSolo
653 $aRegião Tropical
653 $aServiços Ecossistêmicos do Solo
700 1 $aLATAWIEC, A. E.
700 1 $aREID, B. J.
700 1 $aSOLÓRZANO, A.
700 1 $aSCHULER, A. E.
700 1 $aLACERDA, C.
700 1 $aFIDALGO, E. C. C.
700 1 $aSCARANO, F. R.
700 1 $aTUBENCHLAK, F.
700 1 $aPENA, I.
700 1 $aVICENTE-VICENTE, J. L.
700 1 $aKORYS, K. A.
700 1 $aCOOPER, M.
700 1 $aFERNANDES, N. F.
700 1 $aPRADO, R. B.
700 1 $aMAIOLI, V.
700 1 $aDIB, V.
700 1 $aTEIXEIRA, W. G.
773 $tRoyal Society Open Science$gv. 8, n. 3, 201584, Mar. 2021.
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