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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Corte. |
Data corrente: |
20/12/2018 |
Data da última atualização: |
21/12/2018 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
MENEZES, G. R. de O.; GOMES, R. da C.; RIBAS, M. N.; TORRES JUNIOR, R. A. de A.; FERNANDES JUNIOR, J. A.; PEREIRA, G. M.; FAVERO, R.; SILVA, L. O. C. da. |
Afiliação: |
GILBERTO ROMEIRO DE OLIVEIRA MENEZE, CNPGC; RODRIGO DA COSTA GOMES, CNPGC; Intergado Ltd; ROBERTO AUGUSTO DE A TORRES JUNIOR, CNPGC; Grama Senepol; Universidade Católica Dom Bosco - UCDB; Universidade Estadual de Londrian - UEL; LUIZ OTAVIO CAMPOS DA SILVA, CNPGC. |
Título: |
Genetic and phenotypic parameters for feed and water efficiency in Senepol cattle. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
In: BRYANT, J.; BURKE, M.; COOK, R.; HARRIS, B; MOSCONI, C.; WICKHAM, B. (Ed.). Cooperation, networking and global interactions in the animal production sector. Rome, Italy: ICAR |
Série: |
(ICAR Technical Series, 23) |
Idioma: |
Inglês |
Notas: |
Proceedings of the ICAR Conference held in Auckland, NZ, 10-11 February 2018. |
Conteúdo: |
The sustainability of beef production in the world demands the identification and selection of efficient animals that can produce more products with fewer inputs. Feed accounts for around 50-70% of variable costs of beef cattle systems, depending on the level of intensification adopted. Water has been traditionally considered an inexpensive, readily available, and renewable natural resource. However, growing concerns about the availability of drinkable water have increasingly pushed pressure on livestock production, especially cattle. Thus, genetic and phenotypic parameters were estimated for feed and water efficiency in Senepol cattle in order to evaluate their use as selection criteria. Records on 587 Senepol heifers, involved in performance tests, were used. Traits studied included residual feed intake (RFI), residual water intake (RWI), average daily feed intake (ADFI), average daily water intake (ADWI) and average daily gain (ADG). Individual daily feed and water intake records were collected over a 70-day period, using electronic feed and water bunks developed by Intergado Ltd. The ADG was calculated dividing the total weight gained during the test by its duration. A linear regression model of ADFI on metabolic weight (mean weight 0.75 ) and ADG was fitted, within each test edition. RFI was calculated as ADFI minus that predicted using the regression equation. The same was performed for calculating RWI by using ADWI instead of ADFI in the linear regression model. |
Palavras-Chave: |
Residual feed intake; Residual water intake; Selection. |
Thesaurus Nal: |
Beef; Correlation; Heritability. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189098/1/Genetic-and-phenotypic-parameters.pdf
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Marc: |
LEADER 02547nam a2200289 a 4500 001 2102269 005 2018-12-21 008 2018 bl uuuu u00u1 u #d 100 1 $aMENEZES, G. R. de O. 245 $aGenetic and phenotypic parameters for feed and water efficiency in Senepol cattle.$h[electronic resource] 260 $aIn: BRYANT, J.; BURKE, M.; COOK, R.; HARRIS, B; MOSCONI, C.; WICKHAM, B. (Ed.). Cooperation, networking and global interactions in the animal production sector. Rome, Italy: ICAR$c2018 490 $a(ICAR Technical Series, 23) 500 $aProceedings of the ICAR Conference held in Auckland, NZ, 10-11 February 2018. 520 $aThe sustainability of beef production in the world demands the identification and selection of efficient animals that can produce more products with fewer inputs. Feed accounts for around 50-70% of variable costs of beef cattle systems, depending on the level of intensification adopted. Water has been traditionally considered an inexpensive, readily available, and renewable natural resource. However, growing concerns about the availability of drinkable water have increasingly pushed pressure on livestock production, especially cattle. Thus, genetic and phenotypic parameters were estimated for feed and water efficiency in Senepol cattle in order to evaluate their use as selection criteria. Records on 587 Senepol heifers, involved in performance tests, were used. Traits studied included residual feed intake (RFI), residual water intake (RWI), average daily feed intake (ADFI), average daily water intake (ADWI) and average daily gain (ADG). Individual daily feed and water intake records were collected over a 70-day period, using electronic feed and water bunks developed by Intergado Ltd. The ADG was calculated dividing the total weight gained during the test by its duration. A linear regression model of ADFI on metabolic weight (mean weight 0.75 ) and ADG was fitted, within each test edition. RFI was calculated as ADFI minus that predicted using the regression equation. The same was performed for calculating RWI by using ADWI instead of ADFI in the linear regression model. 650 $aBeef 650 $aCorrelation 650 $aHeritability 653 $aResidual feed intake 653 $aResidual water intake 653 $aSelection 700 1 $aGOMES, R. da C. 700 1 $aRIBAS, M. N. 700 1 $aTORRES JUNIOR, R. A. de A. 700 1 $aFERNANDES JUNIOR, J. A. 700 1 $aPEREIRA, G. M. 700 1 $aFAVERO, R. 700 1 $aSILVA, L. O. C. da
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Embrapa Gado de Corte (CNPGC) |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Milho e Sorgo. |
Data corrente: |
02/07/2020 |
Data da última atualização: |
28/08/2023 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
BRANDAO, Z. N.; RESENDE, A. V. de; GREGO, C. R.; SPERANZA, E. A. |
Afiliação: |
ZIANY NEIVA BRANDAO, CNPA; ALVARO VILELA DE RESENDE, CNPMS; CELIA REGINA GREGO, CNPTIA; EDUARDO ANTONIO SPERANZA, CNPTIA. |
Título: |
Agricultura de precisão: tecnologias para o algodoeiro. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
In: BELOT, J.-L.; VILELA, P. M. C. A. (ed.). Manual de boas práticas de manejo do algodoeiro em Mato Grosso. 4. ed. Cuiabá: IMA, 2020. |
Páginas: |
p. 78-97. |
Idioma: |
Português |
Conteúdo: |
1. Uso de tecnologias sítio-específicas na cultura do algodão. 2. Importância da escolha dos sensores para a AP. 2.1 Sensores para o monitoramento do solo. 2.2 Sensores para monitoramento das plantas. 2.3 Sensores de produtividade e mapas de rendimento. 3. Uso de drones na agricultura. 4. Técnicas usadas no tratamento dos dados. 4.1 A geoestatística e a confiabilidade na tomada de decisão. 5. Considerações finais. |
Palavras-Chave: |
Algodoeiro; Monitoramento; Sensor. |
Thesagro: |
Agricultura de Precisão; Algodão; Produtividade; Solo; Tecnologia Agrícola. |
Thesaurus NAL: |
Precision agriculture. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/214337/1/Agricultura-precisao.pdf
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Marc: |
LEADER 01259naa a2200277 a 4500 001 2123583 005 2023-08-28 008 2020 bl uuuu u00u1 u #d 100 1 $aBRANDAO, Z. N. 245 $aAgricultura de precisão$btecnologias para o algodoeiro.$h[electronic resource] 260 $c2020 300 $ap. 78-97. 520 $a1. Uso de tecnologias sítio-específicas na cultura do algodão. 2. Importância da escolha dos sensores para a AP. 2.1 Sensores para o monitoramento do solo. 2.2 Sensores para monitoramento das plantas. 2.3 Sensores de produtividade e mapas de rendimento. 3. Uso de drones na agricultura. 4. Técnicas usadas no tratamento dos dados. 4.1 A geoestatística e a confiabilidade na tomada de decisão. 5. Considerações finais. 650 $aPrecision agriculture 650 $aAgricultura de Precisão 650 $aAlgodão 650 $aProdutividade 650 $aSolo 650 $aTecnologia Agrícola 653 $aAlgodoeiro 653 $aMonitoramento 653 $aSensor 700 1 $aRESENDE, A. V. de 700 1 $aGREGO, C. R. 700 1 $aSPERANZA, E. A. 773 $tIn: BELOT, J.-L.; VILELA, P. M. C. A. (ed.). Manual de boas práticas de manejo do algodoeiro em Mato Grosso. 4. ed. Cuiabá: IMA, 2020.
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