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 | Acesso ao texto completo restrito à biblioteca da Embrapa Rondônia. Para informações adicionais entre em contato com cpafro.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Pantanal; Embrapa Rondônia. |
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Data corrente: |
01/04/2021 |
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Data da última atualização: |
14/06/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PFEIFER, L. F. M.; RODRIGUES, W. B.; NOGUEIRA, E. |
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Afiliação: |
LUIZ FRANCISCO MACHADO PFEIFER, CPAF-RO; WALVONVITIS BAES RODRIGUES, Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado do Mato Grosso do Su; ERIKLIS NOGUEIRA, CPAP. |
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Título: |
Relationship between body condition score index and fertility in beef cows subjected to timed artificial insemination. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Livestock Science, v. 248, 104482, June 2021. |
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ISSN: |
1871-1413 |
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DOI: |
https://doi.org/10.1016/j.livsci.2021.104482 |
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Idioma: |
Inglês |
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Conteúdo: |
Visual evaluation of body condition score (BCS) is an important method for the subjective quantification of body energy reserves in cattle. The objective of this study was to develop an index to estimate the relationship between BCS and fertility, using 2321 lactating Nelore cows from 29 cohorts in Mato Grosso do Sul and Rondonia states, Brazil enrolled in timed artificial insemination (TAI) programs. All females were evaluated according to BCS (scale 1 to 5) and were included in an estradiol-progesterone-based TAI protocol. Estrus scores were evaluated (scale 1?3) for all cows at TAI. The cows in each TAI protocol were categorized according to pregnancy per AI (P/AI) into low (< 45%, LF), moderate (45%?60%, MF), and high (>60%, HF) fertility groups. To evaluate whether the BCS of each cow was in accordance with the target BCS (3 to 4) for beef cows to be enrolled in TAI programs, three variables were calculated: (1) adequate BCS rate (ABR), in which cows with BCS on target received 100% and cows with BCS values outside the target range received 0%; (2) the difference between the real BCS and the target BCS (DBCS); and (3) the adjusted DBCS (ADBCS), in which DBCS was transformed into an inverse value. Finally, the average between ABR and ADBCS resulted in a BCS index (BCSi). Analysis of variance was used to compare BCSi, BCS, and estrus scores among fertility groups, and Tukey?s test was used to compare means among groups. There were differences in BCSi between fertility groups (P<0.05). Both the BCSi and BCS were highest in the HF groups, which also showed the highest estrus scores. However, the BCSi provides information that takes into account the proportion of cows with or without adequate BCS, and could be more useful to apply in practice. The results demonstrate that determining the BCSi presents a novel approach that is highly associated with fertility in TAI programs. MenosVisual evaluation of body condition score (BCS) is an important method for the subjective quantification of body energy reserves in cattle. The objective of this study was to develop an index to estimate the relationship between BCS and fertility, using 2321 lactating Nelore cows from 29 cohorts in Mato Grosso do Sul and Rondonia states, Brazil enrolled in timed artificial insemination (TAI) programs. All females were evaluated according to BCS (scale 1 to 5) and were included in an estradiol-progesterone-based TAI protocol. Estrus scores were evaluated (scale 1?3) for all cows at TAI. The cows in each TAI protocol were categorized according to pregnancy per AI (P/AI) into low (< 45%, LF), moderate (45%?60%, MF), and high (>60%, HF) fertility groups. To evaluate whether the BCS of each cow was in accordance with the target BCS (3 to 4) for beef cows to be enrolled in TAI programs, three variables were calculated: (1) adequate BCS rate (ABR), in which cows with BCS on target received 100% and cows with BCS values outside the target range received 0%; (2) the difference between the real BCS and the target BCS (DBCS); and (3) the adjusted DBCS (ADBCS), in which DBCS was transformed into an inverse value. Finally, the average between ABR and ADBCS resulted in a BCS index (BCSi). Analysis of variance was used to compare BCSi, BCS, and estrus scores among fertility groups, and Tukey?s test was used to compare means among groups. There were differences in BCSi between fertility gro... Mostrar Tudo |
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Palavras-Chave: |
Mato Grosso do Sul; Rondônia. |
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Thesagro: |
Condição Corporal; Fertilidade Animal; Gado Nelore; Inseminação Artificial; Lactação; Prenhez; Reprodução Animal; Vaca de Corte. |
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Thesaurus Nal: |
Animal fertility; Animal reproduction; Artificial insemination; Beef cows; Body condition; Lactation; Nellore; Pregnancy. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03041naa a2200385 a 4500
001 2131021
005 2021-06-14
008 2021 bl uuuu u00u1 u #d
022 $a1871-1413
024 7 $ahttps://doi.org/10.1016/j.livsci.2021.104482$2DOI
100 1 $aPFEIFER, L. F. M.
245 $aRelationship between body condition score index and fertility in beef cows subjected to timed artificial insemination.$h[electronic resource]
260 $c2021
520 $aVisual evaluation of body condition score (BCS) is an important method for the subjective quantification of body energy reserves in cattle. The objective of this study was to develop an index to estimate the relationship between BCS and fertility, using 2321 lactating Nelore cows from 29 cohorts in Mato Grosso do Sul and Rondonia states, Brazil enrolled in timed artificial insemination (TAI) programs. All females were evaluated according to BCS (scale 1 to 5) and were included in an estradiol-progesterone-based TAI protocol. Estrus scores were evaluated (scale 1?3) for all cows at TAI. The cows in each TAI protocol were categorized according to pregnancy per AI (P/AI) into low (< 45%, LF), moderate (45%?60%, MF), and high (>60%, HF) fertility groups. To evaluate whether the BCS of each cow was in accordance with the target BCS (3 to 4) for beef cows to be enrolled in TAI programs, three variables were calculated: (1) adequate BCS rate (ABR), in which cows with BCS on target received 100% and cows with BCS values outside the target range received 0%; (2) the difference between the real BCS and the target BCS (DBCS); and (3) the adjusted DBCS (ADBCS), in which DBCS was transformed into an inverse value. Finally, the average between ABR and ADBCS resulted in a BCS index (BCSi). Analysis of variance was used to compare BCSi, BCS, and estrus scores among fertility groups, and Tukey?s test was used to compare means among groups. There were differences in BCSi between fertility groups (P<0.05). Both the BCSi and BCS were highest in the HF groups, which also showed the highest estrus scores. However, the BCSi provides information that takes into account the proportion of cows with or without adequate BCS, and could be more useful to apply in practice. The results demonstrate that determining the BCSi presents a novel approach that is highly associated with fertility in TAI programs.
650 $aAnimal fertility
650 $aAnimal reproduction
650 $aArtificial insemination
650 $aBeef cows
650 $aBody condition
650 $aLactation
650 $aNellore
650 $aPregnancy
650 $aCondição Corporal
650 $aFertilidade Animal
650 $aGado Nelore
650 $aInseminação Artificial
650 $aLactação
650 $aPrenhez
650 $aReprodução Animal
650 $aVaca de Corte
653 $aMato Grosso do Sul
653 $aRondônia
700 1 $aRODRIGUES, W. B.
700 1 $aNOGUEIRA, E.
773 $tLivestock Science$gv. 248, 104482, June 2021.
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Registro original: |
Embrapa Rondônia (CPAF-RO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Meio Ambiente; Embrapa Unidades Centrais. |
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Data corrente: |
12/03/2024 |
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Data da última atualização: |
12/03/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
BOLFE, E. L.; SANO, E. E.; MASSRUHA, S. M. F. S.; VICTORIA, D. de C.; SILVA, G. B. S. da; OLIVEIRA, A. F. de. |
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Afiliação: |
EDSON LUIS BOLFE, CNPTIA; EDSON EYJI SANO, CPAC; SILVIA MARIA FONSECA S MASSRUHA, PR; DANIEL DE CASTRO VICTORIA, CNPTIA; GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPMA; ARYEVERTON FORTES DE OLIVEIRA, CNPTIA. |
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Título: |
Potencial de expansão agrícola em áreas de pastagem degradadas no Brasil. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Agroanalysis, v. 44, n. 03, p. 25-27, mar. 2024. |
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Idioma: |
Português |
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Notas: |
Na publicação: Édson Bolfe, Edson Sano, Silvia Massruhá, Daniel Victoria, Gustavo Bayma, Aryeverton de Oliveira. |
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Conteúdo: |
Os dados disponibilizados por diversas instituições permitiram analisar o potencial de expansão agrícola em áreas de pastagem plantadas com baixo vigor vegetativo. A integração desses dados em um sistema de informações geográficas demonstrou a existência de 28 milhões de hectares de pastagens degradadas localizados em áreas com potencialidade agrícola classificada como “boa” e “muito boa”. A conversão dessas pastagens possibilitaria elevar a área plantada de grãos em até 35% em relação à área total da safra 2022/23 no Brasil. |
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Palavras-Chave: |
Degradação agronômica; Expansão agrícola; Pastagem degradada; ZARC; Zoneamento Agrícola de Risco Climático. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1162744/1/AP-Potencial-expansao-2024.pdf
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Marc: |
LEADER 01425naa a2200253 a 4500
001 2162744
005 2024-03-12
008 2024 bl uuuu u00u1 u #d
100 1 $aBOLFE, E. L.
245 $aPotencial de expansão agrícola em áreas de pastagem degradadas no Brasil.$h[electronic resource]
260 $c2024
500 $aNa publicação: Édson Bolfe, Edson Sano, Silvia Massruhá, Daniel Victoria, Gustavo Bayma, Aryeverton de Oliveira.
520 $aOs dados disponibilizados por diversas instituições permitiram analisar o potencial de expansão agrícola em áreas de pastagem plantadas com baixo vigor vegetativo. A integração desses dados em um sistema de informações geográficas demonstrou a existência de 28 milhões de hectares de pastagens degradadas localizados em áreas com potencialidade agrícola classificada como “boa” e “muito boa”. A conversão dessas pastagens possibilitaria elevar a área plantada de grãos em até 35% em relação à área total da safra 2022/23 no Brasil.
653 $aDegradação agronômica
653 $aExpansão agrícola
653 $aPastagem degradada
653 $aZARC
653 $aZoneamento Agrícola de Risco Climático
700 1 $aSANO, E. E.
700 1 $aMASSRUHA, S. M. F. S.
700 1 $aVICTORIA, D. de C.
700 1 $aSILVA, G. B. S. da
700 1 $aOLIVEIRA, A. F. de
773 $tAgroanalysis$gv. 44, n. 03, p. 25-27, mar. 2024.
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Embrapa Agricultura Digital (CNPTIA) |
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