| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Pecuária Sul. |
|
Data corrente: |
05/02/2016 |
|
Data da última atualização: |
10/03/2016 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
NEVES, M. C.; PEREZ, N. B.; SISTI, R. N. |
|
Afiliação: |
MARCOS CORREA NEVES, CNPMA; NAYLOR BASTIANI PEREZ, CPPSUL; RODISON NATIVIDADE SISTI, CPPSUL. |
|
Título: |
Análise exploratória de dados de monitoramento da dinâmica do gado em uma pastagem natural invadida pelo capim-annoni. |
|
Ano de publicação: |
2015 |
|
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. |
|
Páginas: |
p. 2252-2258. |
|
Idioma: |
Português |
|
Conteúdo: |
Abstract: The Precision Agriculture considers spatial variability in the agricultural parcel to increase the efficiency in production process. For this it is necessary to know the behavior of the relevant variables and develop viable strategies for action in system. The application of the Precision Agriculture principles in a livestock system involves a higher degree of difficulty due to the greater number of factors involved and the presence of animal component. Variables such as mobility, trampling, defecations of animals and preferential areas may impact the system and should be considered. The objective of this paper is to perform an exploratory analysis of data from monitoring of animals in an experimental plot of a livestock system, evaluating the behavior of animals in different situations, and in future relate this behavior with other factors present in the system. The monitoring of the animals was performed with a set of GPS devices, fixed in six animals from a herd. GPS data (position, velocity, etc.) were complemented by field observations. Data were analyzed with the Kernel intensity estimator in different situations: moving animals; without movement, grazing animals, and nongrazing. Maps resulting from the analysis are presented for the situations investigated. The data analysis allowed us to identify the areas used for the rest of the animals and areas with different grazing intensities. |
|
Palavras-Chave: |
Estimador de intensidade kernel; Monitoramento; Spacial data. |
|
Thesagro: |
Agricultura de precisão; Capim annoni; Gado de corte; Pastagem; Pecuária; Sensoriamento remoto. |
|
Thesaurus Nal: |
Livestock; Precision agriculture; Remote sensing. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/126729/1/2006AA001.pdf
|
|
Marc: |
LEADER 02387naa a2200301 a 4500
001 2036234
005 2016-03-10
008 2015 bl --- 0-- u #d
100 1 $aNEVES, M. C.
245 $aAnálise exploratória de dados de monitoramento da dinâmica do gado em uma pastagem natural invadida pelo capim-annoni.$h[electronic resource]
260 $c2015
300 $ap. 2252-2258.
520 $aAbstract: The Precision Agriculture considers spatial variability in the agricultural parcel to increase the efficiency in production process. For this it is necessary to know the behavior of the relevant variables and develop viable strategies for action in system. The application of the Precision Agriculture principles in a livestock system involves a higher degree of difficulty due to the greater number of factors involved and the presence of animal component. Variables such as mobility, trampling, defecations of animals and preferential areas may impact the system and should be considered. The objective of this paper is to perform an exploratory analysis of data from monitoring of animals in an experimental plot of a livestock system, evaluating the behavior of animals in different situations, and in future relate this behavior with other factors present in the system. The monitoring of the animals was performed with a set of GPS devices, fixed in six animals from a herd. GPS data (position, velocity, etc.) were complemented by field observations. Data were analyzed with the Kernel intensity estimator in different situations: moving animals; without movement, grazing animals, and nongrazing. Maps resulting from the analysis are presented for the situations investigated. The data analysis allowed us to identify the areas used for the rest of the animals and areas with different grazing intensities.
650 $aLivestock
650 $aPrecision agriculture
650 $aRemote sensing
650 $aAgricultura de precisão
650 $aCapim annoni
650 $aGado de corte
650 $aPastagem
650 $aPecuária
650 $aSensoriamento remoto
653 $aEstimador de intensidade kernel
653 $aMonitoramento
653 $aSpacial data
700 1 $aPEREZ, N. B.
700 1 $aSISTI, R. N.
773 $tIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Pecuária Sul (CPPSUL) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Gado de Leite. |
|
Data corrente: |
16/02/2022 |
|
Data da última atualização: |
21/12/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
B - 1 |
|
Autoria: |
HORTOLANI, B.; BERNARDES, P. A.; VERCESI FILHO, A. E.; PANETTO, J. C. do C.; EL FARO, L. |
|
Afiliação: |
BRUNA HORTOLANI, Instituto de Zootecnia; PRISCILA ARRIGUCCI BERNARDES, Universidade Federal de Santa Catarina; ANÍBAL EUGÊNIO VERCESI FILHO, Instituto de Zootecnia; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; LENIRA EL FARO, Instituto de Zootecnia. |
|
Título: |
Genetic parameters for body weight and milk production of dairy Gyr herds. |
|
Ano de publicação: |
2022 |
|
Fonte/Imprenta: |
Tropical Animal Health and Production, v. 54, article 84, 2022. |
|
DOI: |
https://doi.org/10.1007/s11250-022-03088-9 |
|
Idioma: |
Inglês |
|
Conteúdo: |
The aim of this study was to estimate genetic parameters for cow weight at calving (CW) and cumulative 305-day milk yield (MY305) in dairy Gyr cattle by two-trait analysis. The study used 1,847 CW records, in which 418 females presented more than one measure, and 4,048 MY305 records, wherein 1068 females provided repeated measures, from 2,339 females belonging to three herds, which calved between 1986 and 2019. Variance components were estimated by the restricted maximum likelihood method (REML) using a two-trait animal model. The model included direct additive genetic, permanent environmental and residual efects as random efects and the fxed efects of contemporary group, formed by animals that had calved on the same farm year and season, and age of cow at calving as covariates (ftted as linear and quadratic efect). The heritability estimates for CW and MY305 were 0.21±0.06 and 0.29±0.04, respectively, and repeatability estimates were 0.49±0.03 and 0.49±0.02. The genetic correlation between CW and MY305 was positive and of low magnitude (0.33±0.18), indicating that selection for MY305 will cause little genetic change in the weights of dairy Gyr animals. The genetic trends of breeding values of analyzed traits showed marked genetic gains in MY305, with little changes in CW of dairy Gyr cows over the years in the herds studied, which is an important result considering the production systems adopted in the tropics. |
|
Palavras-Chave: |
Correlação genética; Dairy Zebu; Efeito genético; Genetic efect; Herdabilidade. |
|
Thesagro: |
Gado Leiteiro; Gado Zebu; Lactação. |
|
Thesaurus NAL: |
Genetic correlation; Heritability; Lactation. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
Marc: |
LEADER 02356naa a2200313 a 4500
001 2140137
005 2022-12-21
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11250-022-03088-9$2DOI
100 1 $aHORTOLANI, B.
245 $aGenetic parameters for body weight and milk production of dairy Gyr herds.$h[electronic resource]
260 $c2022
520 $aThe aim of this study was to estimate genetic parameters for cow weight at calving (CW) and cumulative 305-day milk yield (MY305) in dairy Gyr cattle by two-trait analysis. The study used 1,847 CW records, in which 418 females presented more than one measure, and 4,048 MY305 records, wherein 1068 females provided repeated measures, from 2,339 females belonging to three herds, which calved between 1986 and 2019. Variance components were estimated by the restricted maximum likelihood method (REML) using a two-trait animal model. The model included direct additive genetic, permanent environmental and residual efects as random efects and the fxed efects of contemporary group, formed by animals that had calved on the same farm year and season, and age of cow at calving as covariates (ftted as linear and quadratic efect). The heritability estimates for CW and MY305 were 0.21±0.06 and 0.29±0.04, respectively, and repeatability estimates were 0.49±0.03 and 0.49±0.02. The genetic correlation between CW and MY305 was positive and of low magnitude (0.33±0.18), indicating that selection for MY305 will cause little genetic change in the weights of dairy Gyr animals. The genetic trends of breeding values of analyzed traits showed marked genetic gains in MY305, with little changes in CW of dairy Gyr cows over the years in the herds studied, which is an important result considering the production systems adopted in the tropics.
650 $aGenetic correlation
650 $aHeritability
650 $aLactation
650 $aGado Leiteiro
650 $aGado Zebu
650 $aLactação
653 $aCorrelação genética
653 $aDairy Zebu
653 $aEfeito genético
653 $aGenetic efect
653 $aHerdabilidade
700 1 $aBERNARDES, P. A.
700 1 $aVERCESI FILHO, A. E.
700 1 $aPANETTO, J. C. do C.
700 1 $aEL FARO, L.
773 $tTropical Animal Health and Production$gv. 54, article 84, 2022.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
