|
|
Registro Completo |
Biblioteca(s): |
Embrapa Meio-Norte. |
Data corrente: |
29/08/1996 |
Data da última atualização: |
06/02/2024 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
PEREIRA, J. A.; NOGUEIRA, C. C. P.; RIBEIRO, V. Q. |
Afiliação: |
JOSE ALMEIDA PEREIRA, CPAMN; CARLOS CESAR PEREIRA NOGUEIRA, CPAMN; VALDENIR QUEIROZ RIBEIRO, CPAMN. |
Título: |
Avaliação de linhagens avançadas de arroz irrigado no Estado do Piauí. |
Ano de publicação: |
1994 |
Fonte/Imprenta: |
In: SEMINARIO DE PESQUISA AGROPECUARIA DO PIAUI, 8.; SIMPOSIO AGROPECUARIO E FLORESTAL DO MEIO-NORTE, 1., 1994, Teresina. Resumos. Teresina: EMBRAPA-CPAMN; São Luís: EMAPA, 1994. p. 44 |
Idioma: |
Português |
Conteúdo: |
No Piauí as condições edafoclimáticas são consideradas excelentes para o cultivo do arroz irrigado. No ano agrícola 1993/94 foram plantados 12.446 ha neste sistema, obtendo-se um rendimento médio de 3.585 kg/ha. |
Palavras-Chave: |
0ryza sativa; Brasil; Piaui; Potencial. |
Thesagro: |
Arroz Irrigado; Qualidade; Rendimento. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189490/1/Semi-Res-p44.pdf
|
Marc: |
LEADER 00938nam a2200217 a 4500 001 1053365 005 2024-02-06 008 1994 bl uuuu u00u1 u #d 100 1 $aPEREIRA, J. A. 245 $aAvaliação de linhagens avançadas de arroz irrigado no Estado do Piauí. 260 $aIn: SEMINARIO DE PESQUISA AGROPECUARIA DO PIAUI, 8.; SIMPOSIO AGROPECUARIO E FLORESTAL DO MEIO-NORTE, 1., 1994, Teresina. Resumos. Teresina: EMBRAPA-CPAMN; São Luís: EMAPA, 1994. p. 44$c1994 520 $aNo Piauí as condições edafoclimáticas são consideradas excelentes para o cultivo do arroz irrigado. No ano agrícola 1993/94 foram plantados 12.446 ha neste sistema, obtendo-se um rendimento médio de 3.585 kg/ha. 650 $aArroz Irrigado 650 $aQualidade 650 $aRendimento 653 $a0ryza sativa 653 $aBrasil 653 $aPiaui 653 $aPotencial 700 1 $aNOGUEIRA, C. C. P. 700 1 $aRIBEIRO, V. Q.
Download
Esconder MarcMostrar Marc Completo |
Registro original: |
Embrapa Meio-Norte (CPAMN) |
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
| Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Semiárido. |
Data corrente: |
06/02/2014 |
Data da última atualização: |
05/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
VIEIRA, P. A. S.; PEREIRA, L. G. R.; AZEVÊDO, J. A. G.; NEVES, A. L. A.; CHIZZOTTI, M. L.; SANTOS, R. D. dos; ARAUJO, G. G. L. de; MISTURA, C.; CHAVES, A. V. |
Afiliação: |
PABLO ALMEIDA SAMPAIO VIEIRA, Universidade Federal do Vale do São Francisco; LUIZ GUSTAVO RIBEIRO PEREIRA, CNPGL; JOSÉ AUGUSTO GOMES AZEVÊDO, UESC; ANDRE LUIS ALVES NEVES, CNPGL; MÁRIO LUIZ CHIZZOTTI, UFLA; RAFAEL DANTAS DOS SANTOS, CPATSA; GHERMAN GARCIA LEAL DE ARAUJO, CPATSA; CLAUDIO MISTURA, Universidade do Estado da Bahia; ALEXANDRE VIEIRA CHAVES, University of Sydney, Australia. |
Título: |
Development of mathematical models to predict dry matter intake in feedlot Santa Ines rams. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Small Ruminant Research, v. 112, n. 1/3, p. 78-84, 2013. |
DOI: |
https://doi.org/10.1016/j.smallrumres.2012.10.007 |
Idioma: |
Inglês |
Conteúdo: |
Mathematical models to predict the dry matter intake (DMI) of feedlot Santa Ines rams were developed and evaluated in this study. The available database had 100 experimental units from 13 studies. Study effect was integrated and random effects of their interactions as components of a hybrid model. The independent variables were initially adjusted to a model which included fixed effects for y-intercept and slope and random effects in y-intercept and slope study, using unstructured covariance model (e.g.: UN-unstructured). Study effect on database was verified, and then a meta-analysis procedure to develop DMI prediction equations was performed. For validation and comparisons between existing prediction equations in the national and international literature, independent data from one survey with 21 animals were used. Validation methods of the observed and predicted DMI were based on linear regression model adjustment of the observed values over predicted values. The following variables: average live weight (ALW), metabolic live weight (MLW0.75), average daily gain (ADG) and average daily gain2 (ADGsq) presented positive correlation with DMI. In contrast diet concentrate level showed a negative correlation. Among eight models examined, the following resulting equation [DMI (g/day) = 238.74 ± 114.56 (0.0398) + 31.3574 ± 4.2737 (<0.0001) × MLW + 1.2623 ±0.2128 (<0.0001) × ADG − 5.1837 ± 0.7448 (<0.0001) × CON] has been found as the best fit model to predict DMI in feedlot Santa Ines ram MenosMathematical models to predict the dry matter intake (DMI) of feedlot Santa Ines rams were developed and evaluated in this study. The available database had 100 experimental units from 13 studies. Study effect was integrated and random effects of their interactions as components of a hybrid model. The independent variables were initially adjusted to a model which included fixed effects for y-intercept and slope and random effects in y-intercept and slope study, using unstructured covariance model (e.g.: UN-unstructured). Study effect on database was verified, and then a meta-analysis procedure to develop DMI prediction equations was performed. For validation and comparisons between existing prediction equations in the national and international literature, independent data from one survey with 21 animals were used. Validation methods of the observed and predicted DMI were based on linear regression model adjustment of the observed values over predicted values. The following variables: average live weight (ALW), metabolic live weight (MLW0.75), average daily gain (ADG) and average daily gain2 (ADGsq) presented positive correlation with DMI. In contrast diet concentrate level showed a negative correlation. Among eight models examined, the following resulting equation [DMI (g/day) = 238.74 ± 114.56 (0.0398) + 31.3574 ± 4.2737 (<0.0001) × MLW + 1.2623 ±0.2128 (<0.0001) × ADG − 5.1837 ± 0.7448 (<0.0001) × CON] has been found as the best fit model to predict DMI in feedlot S... Mostrar Tudo |
Palavras-Chave: |
Modelling; Nutritional requirements; Raça Santa Ines; Santa Ines. |
Thesagro: |
Carneiro; Matéria Seca. |
Thesaurus NAL: |
Dry matter intake; Meta-analysis; Ruminants. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 02527naa a2200337 a 4500 001 1979019 005 2024-02-05 008 2013 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.smallrumres.2012.10.007$2DOI 100 1 $aVIEIRA, P. A. S. 245 $aDevelopment of mathematical models to predict dry matter intake in feedlot Santa Ines rams.$h[electronic resource] 260 $c2013 520 $aMathematical models to predict the dry matter intake (DMI) of feedlot Santa Ines rams were developed and evaluated in this study. The available database had 100 experimental units from 13 studies. Study effect was integrated and random effects of their interactions as components of a hybrid model. The independent variables were initially adjusted to a model which included fixed effects for y-intercept and slope and random effects in y-intercept and slope study, using unstructured covariance model (e.g.: UN-unstructured). Study effect on database was verified, and then a meta-analysis procedure to develop DMI prediction equations was performed. For validation and comparisons between existing prediction equations in the national and international literature, independent data from one survey with 21 animals were used. Validation methods of the observed and predicted DMI were based on linear regression model adjustment of the observed values over predicted values. The following variables: average live weight (ALW), metabolic live weight (MLW0.75), average daily gain (ADG) and average daily gain2 (ADGsq) presented positive correlation with DMI. In contrast diet concentrate level showed a negative correlation. Among eight models examined, the following resulting equation [DMI (g/day) = 238.74 ± 114.56 (0.0398) + 31.3574 ± 4.2737 (<0.0001) × MLW + 1.2623 ±0.2128 (<0.0001) × ADG − 5.1837 ± 0.7448 (<0.0001) × CON] has been found as the best fit model to predict DMI in feedlot Santa Ines ram 650 $aDry matter intake 650 $aMeta-analysis 650 $aRuminants 650 $aCarneiro 650 $aMatéria Seca 653 $aModelling 653 $aNutritional requirements 653 $aRaça Santa Ines 653 $aSanta Ines 700 1 $aPEREIRA, L. G. R. 700 1 $aAZEVÊDO, J. A. G. 700 1 $aNEVES, A. L. A. 700 1 $aCHIZZOTTI, M. L. 700 1 $aSANTOS, R. D. dos 700 1 $aARAUJO, G. G. L. de 700 1 $aMISTURA, C. 700 1 $aCHAVES, A. V. 773 $tSmall Ruminant Research$gv. 112, n. 1/3, p. 78-84, 2013.
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. |
|
|