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Registro Completo |
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Biblioteca(s): |
Embrapa Uva e Vinho. |
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Data corrente: |
07/01/2019 |
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Data da última atualização: |
27/04/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MAIA, J. D. G.; RITSCHEL, P. S.; LAZZAROTTO, J. J. |
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Afiliação: |
JOAO DIMAS GARCIA MAIA, CNPUV; PATRICIA SILVA RITSCHEL, CNPUV; JOELSIO JOSE LAZZAROTTO, CNPUV. |
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Título: |
A viticultura de mesa no Brasil: produção para o mercado nacional e internacional. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Territoires du Vin, v. 9, p. 1-9, 2018. |
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Idioma: |
Português |
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Conteúdo: |
A cadeia brasileira de uvas de mesa é diversificada, em relação às condições climáticas das regiões de produção e à matriz de cultivares, que inclui uvas americanas e as finas e híbridas do tipo fino, com e sem sementes. A preferência do consumidor brasileiro pela uva Niágara Rosada, cultivada no centro-sul do país, se manteve estável no período compreendido entre 2007 e 2016. Dentre as uvas tradicionais com sementes destacam-se, as uvas do grupo Itália, cultivadas no centro-sul e também em clima tropical semiárido. Entretanto, a opção do consumidor nacional por uvas com sementes vem diminuindo, e as apirênicas, cuja produção era totalmente destinada à exportação, passaram a ocupar posição importante no mercado doméstico. Este movimento, somado ao elevado custo de produção do cultivo de uvas finas tradicionais sem sementes (Thompson, Crimson e Superior) na região tropical de clima semiárido tem resultado na busca por novas cultivares. Assim, na última década, diversos genótipos desenvolvidos por empresas internacionais têm sido introduzidos na região e testados, juntamente com as cultivares ?BRS?, desenvolvidas pela Embrapa. O menor custo dos ?royalties? pagos pelo uso das cultivares nacionais, associado à maior fertilidade de gemas, ao manejo simplificado de cachos, à possibilidade de realização de duas safras por ano e à tolerância ao míldio e às chuvas, têm estimulado a expansão do cultivo de BRS Núbia (com sementes), BRS Isis e BRS Vitória, que já apresenta uma área plantada no semiárido estimada em 1.500 ha. The Brazilian table grapes chain is diversified, in relation both to the climatic conditions of the production regions and to the cultivar matrix, which includes American grapes and European and hybrid grapevines, with and without seeds. The Brazilian consumer preference for the Niágara Rosada grape, grown in the center-south of the country, remained stable in the period from 2007 and 2016. Among the traditional grapes with seeds are the Italy group grapes, grown in the center-south and also in semi-arid tropical climate. However, the national consumer's choice for grapes with seeds has been decreasing, and the seedless grapes, whose production was once wholly destined for export, came to occupy a vital position also in the domestic market. This movement, coupled with the high cost of production of traditional seedless grapes (Thompson, Crimson and Superior) in the tropical semi-arid region has resulted in the search for new cultivars. Thus, in the last decade, several genotypes developed by international companies have been introduced in the area and tested, along with "BRS" cultivars, developed by Embrapa. The lower cost of the royalties paid for the use of the national varieties, associated with the higher fertility of buds, the simplified management of bunches, the possibility of two harvests per year and the tolerance to mildew and rainfall, have stimulated the expansion of cultivation of BRS Nubia (with seeds), BRS Isis and BRS Vitória, which already has a planted area in the semiarid region estimated as 1,500 ha. MenosA cadeia brasileira de uvas de mesa é diversificada, em relação às condições climáticas das regiões de produção e à matriz de cultivares, que inclui uvas americanas e as finas e híbridas do tipo fino, com e sem sementes. A preferência do consumidor brasileiro pela uva Niágara Rosada, cultivada no centro-sul do país, se manteve estável no período compreendido entre 2007 e 2016. Dentre as uvas tradicionais com sementes destacam-se, as uvas do grupo Itália, cultivadas no centro-sul e também em clima tropical semiárido. Entretanto, a opção do consumidor nacional por uvas com sementes vem diminuindo, e as apirênicas, cuja produção era totalmente destinada à exportação, passaram a ocupar posição importante no mercado doméstico. Este movimento, somado ao elevado custo de produção do cultivo de uvas finas tradicionais sem sementes (Thompson, Crimson e Superior) na região tropical de clima semiárido tem resultado na busca por novas cultivares. Assim, na última década, diversos genótipos desenvolvidos por empresas internacionais têm sido introduzidos na região e testados, juntamente com as cultivares ?BRS?, desenvolvidas pela Embrapa. O menor custo dos ?royalties? pagos pelo uso das cultivares nacionais, associado à maior fertilidade de gemas, ao manejo simplificado de cachos, à possibilidade de realização de duas safras por ano e à tolerância ao míldio e às chuvas, têm estimulado a expansão do cultivo de BRS Núbia (com sementes), BRS Isis e BRS Vitória, que já apresenta uma área plan... Mostrar Tudo |
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Palavras-Chave: |
American grapevine cultivars; Brasil; Brazilian grapevine cultivars; Clima subtropical; Cultivares de videiras americanas; Cultivares de videiras brasileiras; Cultivares de videiras europeias; European grapevine cultivars; Nordeste; Northeast; Seeded table grapes; Seedless table grapes; South; Subtropical climate; Sul; Temperate climate; Tropical climate; Uvas apirênicas; Uvas com sementes. |
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Thesagro: |
Clima Temperado; Clima Tropical. |
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Thesaurus Nal: |
Brazil. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189870/1/A-Viticultura-de-Mesa-no-Brasil.pdf
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Marc: |
LEADER 04344naa a2200409 a 4500
001 2103185
005 2019-04-27
008 2018 bl uuuu u00u1 u #d
100 1 $aMAIA, J. D. G.
245 $aA viticultura de mesa no Brasil$bprodução para o mercado nacional e internacional.$h[electronic resource]
260 $c2018
520 $aA cadeia brasileira de uvas de mesa é diversificada, em relação às condições climáticas das regiões de produção e à matriz de cultivares, que inclui uvas americanas e as finas e híbridas do tipo fino, com e sem sementes. A preferência do consumidor brasileiro pela uva Niágara Rosada, cultivada no centro-sul do país, se manteve estável no período compreendido entre 2007 e 2016. Dentre as uvas tradicionais com sementes destacam-se, as uvas do grupo Itália, cultivadas no centro-sul e também em clima tropical semiárido. Entretanto, a opção do consumidor nacional por uvas com sementes vem diminuindo, e as apirênicas, cuja produção era totalmente destinada à exportação, passaram a ocupar posição importante no mercado doméstico. Este movimento, somado ao elevado custo de produção do cultivo de uvas finas tradicionais sem sementes (Thompson, Crimson e Superior) na região tropical de clima semiárido tem resultado na busca por novas cultivares. Assim, na última década, diversos genótipos desenvolvidos por empresas internacionais têm sido introduzidos na região e testados, juntamente com as cultivares ?BRS?, desenvolvidas pela Embrapa. O menor custo dos ?royalties? pagos pelo uso das cultivares nacionais, associado à maior fertilidade de gemas, ao manejo simplificado de cachos, à possibilidade de realização de duas safras por ano e à tolerância ao míldio e às chuvas, têm estimulado a expansão do cultivo de BRS Núbia (com sementes), BRS Isis e BRS Vitória, que já apresenta uma área plantada no semiárido estimada em 1.500 ha. The Brazilian table grapes chain is diversified, in relation both to the climatic conditions of the production regions and to the cultivar matrix, which includes American grapes and European and hybrid grapevines, with and without seeds. The Brazilian consumer preference for the Niágara Rosada grape, grown in the center-south of the country, remained stable in the period from 2007 and 2016. Among the traditional grapes with seeds are the Italy group grapes, grown in the center-south and also in semi-arid tropical climate. However, the national consumer's choice for grapes with seeds has been decreasing, and the seedless grapes, whose production was once wholly destined for export, came to occupy a vital position also in the domestic market. This movement, coupled with the high cost of production of traditional seedless grapes (Thompson, Crimson and Superior) in the tropical semi-arid region has resulted in the search for new cultivars. Thus, in the last decade, several genotypes developed by international companies have been introduced in the area and tested, along with "BRS" cultivars, developed by Embrapa. The lower cost of the royalties paid for the use of the national varieties, associated with the higher fertility of buds, the simplified management of bunches, the possibility of two harvests per year and the tolerance to mildew and rainfall, have stimulated the expansion of cultivation of BRS Nubia (with seeds), BRS Isis and BRS Vitória, which already has a planted area in the semiarid region estimated as 1,500 ha.
650 $aBrazil
650 $aClima Temperado
650 $aClima Tropical
653 $aAmerican grapevine cultivars
653 $aBrasil
653 $aBrazilian grapevine cultivars
653 $aClima subtropical
653 $aCultivares de videiras americanas
653 $aCultivares de videiras brasileiras
653 $aCultivares de videiras europeias
653 $aEuropean grapevine cultivars
653 $aNordeste
653 $aNortheast
653 $aSeeded table grapes
653 $aSeedless table grapes
653 $aSouth
653 $aSubtropical climate
653 $aSul
653 $aTemperate climate
653 $aTropical climate
653 $aUvas apirênicas
653 $aUvas com sementes
700 1 $aRITSCHEL, P. S.
700 1 $aLAZZAROTTO, J. J.
773 $tTerritoires du Vin$gv. 9, p. 1-9, 2018.
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Registro original: |
Embrapa Uva e Vinho (CNPUV) |
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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. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
08/02/2021 |
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Data da última atualização: |
06/02/2024 |
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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: |
CAIRO, F. C.; PEREIRA, L. G. R.; CAMPOS, M. M.; TOMICH, T. R.; COELHO, S. G.; LAGE, C. F. A.; FONSECA, A. P.; BORGES, A. M.; ALVES, B. R. C.; DOREA, J. R. R. |
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Afiliação: |
F. C. Cairo, Universidade Estadual do Sudoeste da Bahia, Itapetinga, BA; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; MARIANA MAGALHAES CAMPOS, CNPGL; THIERRY RIBEIRO TOMICH, CNPGL; S. G. Coelho, UFMG; C. F. A. Lage, UFMG; A. P. Fonseca, UFMG; A. M. Borges, UFMG; B. R. C. Alves, University of Nevada, Reno, USA; J. R. R. Dorea, University of Wisconsin, Madison, USA. |
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Título: |
Applying machine learning techniques on feeding behavior data for early estrus detection in dairy heifers. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Computers and Electronics in Agriculture, v. 179, 105855, 2020. |
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DOI: |
https://doi.org/10.1016/j.compag.2020.105855 |
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Idioma: |
Inglês |
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Conteúdo: |
The recent advances in sensor technology have allowed accurate predictions of estrus events using animal behavior information. Behavioral variables generated by electronic feed and water bins have not been explored as potential predictors for estrus detection. The objectives of this study were: (i) to evaluate the effect of estrus expression on feed intake and animal behavior (feeding and drinking) and (ii) to develop and evaluate predictive approaches to detect estrus expression using electronic feed and water bins data. Feed intake, animal behavior, and estrus events were measured in 57 Holstein × Gyr heifers (374 ± 21.2 kg and 22.6 ± 0.60 months). Previous to each estrus event, the following covariates were computed: total feed intake (FI, as-fed basis), number of visits at the feed bins (VF) and water bins (VW), time spent eating (TE), and time spent drinking water (TD). Three predictive approaches were evaluated: Generalized Linear Models (GLM), Artificial Neural Network (ANN), and Random Forest (RF). Twelve covariate sets were established to investigate: (ii.a) the prediction quality for estrus detection when long (−174 to 0 h) or short (−24 to 0 h) time series were used as predictors (6 h of time window, with estrus event at 0 h); (ii.b) the ability of machine learning algorithms to predict estrus 6 and 12 h in advance; and (ii.c) the predictive quality for estrus detection when only feeding and drinking behavior data (without intake variables) were included as predictors. The predictive approaches were evaluated through Leave-One-Out Cross-validation. Estrus events altered feeding and drinking behavior patterns, and feed intake. ANN, RF, and GLM presented similar accuracies within covariate sets. There was no benefit of using longer time series for estrus detection. Earlier detection of estrus event (6 and 12 h in advance) reduced model accuracy compared to predictions performed at 0 h. However, ANN and RF showed accuracy values ranging between 75.7% and 96.5%, which indicates a great potential for early estrus detection. The exclusion of feed intake data of the covariate sets did not reduce the accuracy, sensitivity, and specificity of the models for estrus detection. These findings suggest that behavioral data can early predict estrus events, which could be incorporated in sensor technologies capable of generating behavioral information, such as electronic bins, wearable sensors, and computer vision systems. MenosThe recent advances in sensor technology have allowed accurate predictions of estrus events using animal behavior information. Behavioral variables generated by electronic feed and water bins have not been explored as potential predictors for estrus detection. The objectives of this study were: (i) to evaluate the effect of estrus expression on feed intake and animal behavior (feeding and drinking) and (ii) to develop and evaluate predictive approaches to detect estrus expression using electronic feed and water bins data. Feed intake, animal behavior, and estrus events were measured in 57 Holstein × Gyr heifers (374 ± 21.2 kg and 22.6 ± 0.60 months). Previous to each estrus event, the following covariates were computed: total feed intake (FI, as-fed basis), number of visits at the feed bins (VF) and water bins (VW), time spent eating (TE), and time spent drinking water (TD). Three predictive approaches were evaluated: Generalized Linear Models (GLM), Artificial Neural Network (ANN), and Random Forest (RF). Twelve covariate sets were established to investigate: (ii.a) the prediction quality for estrus detection when long (−174 to 0 h) or short (−24 to 0 h) time series were used as predictors (6 h of time window, with estrus event at 0 h); (ii.b) the ability of machine learning algorithms to predict estrus 6 and 12 h in advance; and (ii.c) the predictive quality for estrus detection when only feeding and drinking behavior data (without intake variables) were includ... Mostrar Tudo |
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Palavras-Chave: |
Artificial neural network; Heat detection; Machine learning; Precision livestock; Random forest. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03409naa a2200301 a 4500
001 2129867
005 2024-02-06
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.compag.2020.105855$2DOI
100 1 $aCAIRO, F. C.
245 $aApplying machine learning techniques on feeding behavior data for early estrus detection in dairy heifers.$h[electronic resource]
260 $c2020
520 $aThe recent advances in sensor technology have allowed accurate predictions of estrus events using animal behavior information. Behavioral variables generated by electronic feed and water bins have not been explored as potential predictors for estrus detection. The objectives of this study were: (i) to evaluate the effect of estrus expression on feed intake and animal behavior (feeding and drinking) and (ii) to develop and evaluate predictive approaches to detect estrus expression using electronic feed and water bins data. Feed intake, animal behavior, and estrus events were measured in 57 Holstein × Gyr heifers (374 ± 21.2 kg and 22.6 ± 0.60 months). Previous to each estrus event, the following covariates were computed: total feed intake (FI, as-fed basis), number of visits at the feed bins (VF) and water bins (VW), time spent eating (TE), and time spent drinking water (TD). Three predictive approaches were evaluated: Generalized Linear Models (GLM), Artificial Neural Network (ANN), and Random Forest (RF). Twelve covariate sets were established to investigate: (ii.a) the prediction quality for estrus detection when long (−174 to 0 h) or short (−24 to 0 h) time series were used as predictors (6 h of time window, with estrus event at 0 h); (ii.b) the ability of machine learning algorithms to predict estrus 6 and 12 h in advance; and (ii.c) the predictive quality for estrus detection when only feeding and drinking behavior data (without intake variables) were included as predictors. The predictive approaches were evaluated through Leave-One-Out Cross-validation. Estrus events altered feeding and drinking behavior patterns, and feed intake. ANN, RF, and GLM presented similar accuracies within covariate sets. There was no benefit of using longer time series for estrus detection. Earlier detection of estrus event (6 and 12 h in advance) reduced model accuracy compared to predictions performed at 0 h. However, ANN and RF showed accuracy values ranging between 75.7% and 96.5%, which indicates a great potential for early estrus detection. The exclusion of feed intake data of the covariate sets did not reduce the accuracy, sensitivity, and specificity of the models for estrus detection. These findings suggest that behavioral data can early predict estrus events, which could be incorporated in sensor technologies capable of generating behavioral information, such as electronic bins, wearable sensors, and computer vision systems.
653 $aArtificial neural network
653 $aHeat detection
653 $aMachine learning
653 $aPrecision livestock
653 $aRandom forest
700 1 $aPEREIRA, L. G. R.
700 1 $aCAMPOS, M. M.
700 1 $aTOMICH, T. R.
700 1 $aCOELHO, S. G.
700 1 $aLAGE, C. F. A.
700 1 $aFONSECA, A. P.
700 1 $aBORGES, A. M.
700 1 $aALVES, B. R. C.
700 1 $aDOREA, J. R. R.
773 $tComputers and Electronics in Agriculture$gv. 179, 105855, 2020.
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