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Biblioteca(s): |
Embrapa Acre; Embrapa Agroindústria de Alimentos; Embrapa Agroindústria Tropical; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Clima Temperado; Embrapa Cocais; Embrapa Meio-Norte; Embrapa Rondônia; Embrapa Semiárido; Embrapa Unidades Centrais. MenosEmbrapa Acre; Embrapa Agroindústria de Alimentos; Embrapa Agroindústria Tropical; Embrapa Algodão; Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Amazônia Oriental; Embrapa Clima Temperado; Embrapa Cocais; Embrapa Meio-Norte... Mostrar Todas |
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Data corrente: |
06/09/2013 |
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Data da última atualização: |
27/11/2023 |
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Tipo da produção científica: |
Folder/Folheto/Cartilha |
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Autoria: |
SOUZA, J. M. L. de; LEITE, F. M. N.; MEDEIROS, M. J.; BRITO, P. A. C. |
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Afiliação: |
JOANA MARIA LEITE DE SOUZA, CPAF-AC; FELICIA MARIA NOGUEIRA LEITE; MARLENE JARDIM MEDEIROS; PALMIRA ANTONIA CRUZ BRITO. |
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Título: |
Farinha mista de banana verde e de castanha-do-brasil. |
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Edição: |
2. ed. rev. e atual. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Brasília, DF: Embrapa; Rio Branco, AC: Embrapa Acre, 2012. |
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Páginas: |
49 p. |
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Série: |
(Coleção agroindústria familiar). |
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ISBN: |
978-85-7035-152-4 |
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Idioma: |
Português |
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Conteúdo: |
Dentre as frutas tropicais, a banana destaca-se como uma das mais ricas fontes de alimento energético. Por seu cultivo simples e por seu elevado valor nutricional, há interesse industrial na produção de farinhas de baixo custo derivadas da banana, que podem ser aproveitadas de forma alternativa na alimentação humana, como a farinha de banana verde. A banana é um fruto com larga faixa de maturidade fisiológica, podendo ser colhida e induzida ao amadurecimento com excelente qualidade, permitindo que o processo de maturação comercial seja uma operação de rotina, para se obter bananas em estado de maturação específico, de acordo com as exigências de mercado. A banana da variedade comprida (Musa paradisíaca cv. D?Angola) é largamente produzida e comercializada no Acre. Quando madura, pode ser consumida frita ou cozida e, quando verde, na forma de chips, habitualmente no café da manhã e em lanches da tarde. Em algumas regiões, essa banana é aproveitada, também, em recheios de beijus e de tapiocas, para enriquecer farofas salgadas ou ainda no preparo de bolos, crepes e tortas. A farinha de banana é obtida por meio da secagem da polpa do fruto verde ou semiverde. Essa secagem pode ser natural ou artificial. |
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Palavras-Chave: |
Agroindústria familiar; Farinha de banana; Farinha de castanha-do-brasil; Farinha de castanha-do-pará; Musa spp. |
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Thesagro: |
Banana; Castanha do Pará; Farinha mista; Indústria agrícola; Processamento; Tecnologia de Alimento. |
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Categoria do assunto: |
--
Q Alimentos e Nutrição Humana |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/128261/1/AGROIND-FAM-Farinha-mista-banana-verde-cast-brasil-ed02-2012.pdf
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Marc: |
LEADER 02187nam a2200325 a 4500
001 1975061
005 2023-11-27
008 2012 bl uuuu u0uu1 u #d
020 $a978-85-7035-152-4
100 1 $aSOUZA, J. M. L. de
245 $aFarinha mista de banana verde e de castanha-do-brasil.
250 $a2. ed. rev. e atual.
260 $aBrasília, DF: Embrapa; Rio Branco, AC: Embrapa Acre$c2012
300 $a49 p.
490 $a(Coleção agroindústria familiar).
520 $aDentre as frutas tropicais, a banana destaca-se como uma das mais ricas fontes de alimento energético. Por seu cultivo simples e por seu elevado valor nutricional, há interesse industrial na produção de farinhas de baixo custo derivadas da banana, que podem ser aproveitadas de forma alternativa na alimentação humana, como a farinha de banana verde. A banana é um fruto com larga faixa de maturidade fisiológica, podendo ser colhida e induzida ao amadurecimento com excelente qualidade, permitindo que o processo de maturação comercial seja uma operação de rotina, para se obter bananas em estado de maturação específico, de acordo com as exigências de mercado. A banana da variedade comprida (Musa paradisíaca cv. D?Angola) é largamente produzida e comercializada no Acre. Quando madura, pode ser consumida frita ou cozida e, quando verde, na forma de chips, habitualmente no café da manhã e em lanches da tarde. Em algumas regiões, essa banana é aproveitada, também, em recheios de beijus e de tapiocas, para enriquecer farofas salgadas ou ainda no preparo de bolos, crepes e tortas. A farinha de banana é obtida por meio da secagem da polpa do fruto verde ou semiverde. Essa secagem pode ser natural ou artificial.
650 $aBanana
650 $aCastanha do Pará
650 $aFarinha mista
650 $aIndústria agrícola
650 $aProcessamento
650 $aTecnologia de Alimento
653 $aAgroindústria familiar
653 $aFarinha de banana
653 $aFarinha de castanha-do-brasil
653 $aFarinha de castanha-do-pará
653 $aMusa spp
700 1 $aLEITE, F. M. N.
700 1 $aMEDEIROS, M. J.
700 1 $aBRITO, P. A. C.
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Registro original: |
Embrapa Acre (CPAF-AC) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão; Embrapa Cerrados. |
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Data corrente: |
07/05/2021 |
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Data da última atualização: |
07/05/2021 |
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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: |
BRUNES, L. C.; BALDI, F.; NARCISO, M. G.; LOBO, R. B.; ESPIGOLAN, R.; COSTA, M. F. O.; MAGNABOSCO, C. U. |
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Afiliação: |
LUDMILLA C. BRUNES, UFG; FERNANDO BALDI, UNESP, Jaboticabal-SP; MARCELO GONCALVES NARCISO, CNPAF; RAYSILDO B. LOBO, ASSOCIAÇÃO NACIONAL DE CRIADORES, Ribeirão Preto-SP; R. ESPIGOLAN, USP; MARCOS FERNANDO OLIVEIRA E COSTA, CNPAF; CLAUDIO DE ULHOA MAGNABOSCO, CPAC. |
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Título: |
Genomic prediction ability for feed efficiency traits using different models and pseudo-phenotypes under several validation strategies in Nelore cattle. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Animal. The International Journal of Animal Biosciences, v. 15, 100085, 2021. |
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ISSN: |
1751-7311 |
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DOI: |
https://doi.org/10.1016/j.animal.2020.100085 |
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Idioma: |
Inglês |
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Conteúdo: |
There is a growing interest to improve feed efficiency (FE) traits in cattle. The genomic selection was proposed to improve these traits since they are difficult and expensive to measure. Up to date, there are scarce studies about the implementation of genomic selection for FE traits in indicine cattle under different scenarios of pseudo-phenotypes, models, and validation strategies on a commercial large scale. Thus, the aim was to evaluate the feasibility of genomic selection implementation for FE traits in Nelore cattle applying different models and pseudo-phenotypes under validation strategies. Phenotypic and genotypic information from 4 329 and 3 467 animals were used, respectively, which were tested for residual feed intake, DM intake, feed efficiency, feed conversion ratio, residual BW gain, and residual intake and BW gain. Six prediction methods were used: single-step genomic best linear unbiased prediction, Bayes A, Bayes B, Bayes Cπ, Bayesian least absolute shrinkage and selection operator (BLASSO), and Bayes R. Phenotypes adjusted for fixed effects (Y*), estimated breeding value (EBV), and EBV deregressed (DEBV) were used as pseudo-phenotypes. The validation approaches used were: (1) random: the data was randomly divided into ten subsets and the validation was done in each subset at a time; (2) age: the partition into training and testing sets was based on year of birth and testing animals were born after 2016; and (3) EBV accuracy: the data was split into two groups, being animals with accuracy above 0.45 the training set; and below 0.45 the validation set. In the analyses that used the Y* as pseudo-phenotype, prediction ability (PA) was obtained by dividing the correlation between pseudo-phenotype and genomic EBV (GEBV) by the square root of the heritability of the trait. When EBV and DEBV were used as the pseudo-phenotype, the simple correlation of this quantity with the GEBV was considered as PA. The prediction methods show similar results for PA and bias. The random cross-validation presented higher PA (0.17) than EBV accuracy (0.14) and age (0.13). The PA was higher for Y* than for EBV and DEBV (30.0 and 34.3%, respectively). Random validation presented the highest PA, being indicated for use in populations composed mainly of young animals and traits with few generations of data recording. For high heritability traits, the validation can be done by age, enabling the prediction of the next-generation genetic merit. These results would support breeders to identify genomic approaches that are more viable for genomic prediction for FE-related traits. MenosThere is a growing interest to improve feed efficiency (FE) traits in cattle. The genomic selection was proposed to improve these traits since they are difficult and expensive to measure. Up to date, there are scarce studies about the implementation of genomic selection for FE traits in indicine cattle under different scenarios of pseudo-phenotypes, models, and validation strategies on a commercial large scale. Thus, the aim was to evaluate the feasibility of genomic selection implementation for FE traits in Nelore cattle applying different models and pseudo-phenotypes under validation strategies. Phenotypic and genotypic information from 4 329 and 3 467 animals were used, respectively, which were tested for residual feed intake, DM intake, feed efficiency, feed conversion ratio, residual BW gain, and residual intake and BW gain. Six prediction methods were used: single-step genomic best linear unbiased prediction, Bayes A, Bayes B, Bayes Cπ, Bayesian least absolute shrinkage and selection operator (BLASSO), and Bayes R. Phenotypes adjusted for fixed effects (Y*), estimated breeding value (EBV), and EBV deregressed (DEBV) were used as pseudo-phenotypes. The validation approaches used were: (1) random: the data was randomly divided into ten subsets and the validation was done in each subset at a time; (2) age: the partition into training and testing sets was based on year of birth and testing animals were born after 2016; and (3) EBV accuracy: the data was split into two... Mostrar Tudo |
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Palavras-Chave: |
Residual body weight gain; Residual feed intake; Single nucleotide polymorphisms. |
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Thesagro: |
Gado Nelore; Gado Zebu; Genética Animal. |
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Thesaurus NAL: |
Animal breeding; Feed intake; Genomics; Zebu. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 03682naa a2200337 a 4500
001 2131718
005 2021-05-07
008 2021 bl uuuu u00u1 u #d
022 $a1751-7311
024 7 $ahttps://doi.org/10.1016/j.animal.2020.100085$2DOI
100 1 $aBRUNES, L. C.
245 $aGenomic prediction ability for feed efficiency traits using different models and pseudo-phenotypes under several validation strategies in Nelore cattle.$h[electronic resource]
260 $c2021
520 $aThere is a growing interest to improve feed efficiency (FE) traits in cattle. The genomic selection was proposed to improve these traits since they are difficult and expensive to measure. Up to date, there are scarce studies about the implementation of genomic selection for FE traits in indicine cattle under different scenarios of pseudo-phenotypes, models, and validation strategies on a commercial large scale. Thus, the aim was to evaluate the feasibility of genomic selection implementation for FE traits in Nelore cattle applying different models and pseudo-phenotypes under validation strategies. Phenotypic and genotypic information from 4 329 and 3 467 animals were used, respectively, which were tested for residual feed intake, DM intake, feed efficiency, feed conversion ratio, residual BW gain, and residual intake and BW gain. Six prediction methods were used: single-step genomic best linear unbiased prediction, Bayes A, Bayes B, Bayes Cπ, Bayesian least absolute shrinkage and selection operator (BLASSO), and Bayes R. Phenotypes adjusted for fixed effects (Y*), estimated breeding value (EBV), and EBV deregressed (DEBV) were used as pseudo-phenotypes. The validation approaches used were: (1) random: the data was randomly divided into ten subsets and the validation was done in each subset at a time; (2) age: the partition into training and testing sets was based on year of birth and testing animals were born after 2016; and (3) EBV accuracy: the data was split into two groups, being animals with accuracy above 0.45 the training set; and below 0.45 the validation set. In the analyses that used the Y* as pseudo-phenotype, prediction ability (PA) was obtained by dividing the correlation between pseudo-phenotype and genomic EBV (GEBV) by the square root of the heritability of the trait. When EBV and DEBV were used as the pseudo-phenotype, the simple correlation of this quantity with the GEBV was considered as PA. The prediction methods show similar results for PA and bias. The random cross-validation presented higher PA (0.17) than EBV accuracy (0.14) and age (0.13). The PA was higher for Y* than for EBV and DEBV (30.0 and 34.3%, respectively). Random validation presented the highest PA, being indicated for use in populations composed mainly of young animals and traits with few generations of data recording. For high heritability traits, the validation can be done by age, enabling the prediction of the next-generation genetic merit. These results would support breeders to identify genomic approaches that are more viable for genomic prediction for FE-related traits.
650 $aAnimal breeding
650 $aFeed intake
650 $aGenomics
650 $aZebu
650 $aGado Nelore
650 $aGado Zebu
650 $aGenética Animal
653 $aResidual body weight gain
653 $aResidual feed intake
653 $aSingle nucleotide polymorphisms
700 1 $aBALDI, F.
700 1 $aNARCISO, M. G.
700 1 $aLOBO, R. B.
700 1 $aESPIGOLAN, R.
700 1 $aCOSTA, M. F. O.
700 1 $aMAGNABOSCO, C. U.
773 $tAnimal. The International Journal of Animal Biosciences$gv. 15, 100085, 2021.
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Embrapa Arroz e Feijão (CNPAF) |
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