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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
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Data corrente: |
10/02/2015 |
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Data da última atualização: |
22/02/2016 |
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Tipo da produção científica: |
Orientação de Tese de Pós-Graduação |
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Autoria: |
TONUCCI, L. B. |
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Afiliação: |
LÍVIA BORDALO TONUCCI. |
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Título: |
Evaluation of a probiotic fermented goat milk and its clinical application in type 2 diabetes Mellitus. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
2014 |
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Páginas: |
106 f. |
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Idioma: |
Inglês |
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Notas: |
Tese (Doutorado em Ciência da Nutrição) - Universidade Federal de Viçosa, MG, 2014. Co-Orientador: Karina Maria Olbrich dos Santos. |
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Palavras-Chave: |
Diabetes Mellitus tipo 2; Leite de cabra fermentado probiótico; Probiotic milk. |
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Thesaurus Nal: |
diabetes. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00626nam a2200169 a 4500
001 2008358
005 2016-02-22
008 2014 bl uuuu m 00u1 u #d
100 1 $aTONUCCI, L. B.
245 $aEvaluation of a probiotic fermented goat milk and its clinical application in type 2 diabetes Mellitus.
260 $a2014$c2014
300 $a106 f.
500 $aTese (Doutorado em Ciência da Nutrição) - Universidade Federal de Viçosa, MG, 2014. Co-Orientador: Karina Maria Olbrich dos Santos.
650 $adiabetes
653 $aDiabetes Mellitus tipo 2
653 $aLeite de cabra fermentado probiótico
653 $aProbiotic milk
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Registro original: |
Embrapa Agroindústria de Alimentos (CTAA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
28/11/2013 |
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Data da última atualização: |
10/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
PEZZOPANE, J. R. M.; CRUZ, P. G. da; SANTOS, P. M.; BOSI, C.; ARAUJO, L. C. de. |
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Afiliação: |
JOSE RICARDO MACEDO PEZZOPANE, CPPSE; PEDRO GOMES DA CRUZ, Federal Institute of Education, Science and Technology Goiano; PATRICIA MENEZES SANTOS, CPPSE; CRISTIAM BOSI, Luiz de Queiroz, College of Agriculture, University of São Paulo; LEANDRO COELHO DE ARAUJO, Universidade Estadual Paulista. |
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Título: |
Simple agrometeorological models for estimating Guineagrass yield in Southeast Brazil. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
International Journal of Biometeorology, v. 58, p. 1479-1487, 2014. |
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DOI: |
10.1007/s00484-013-0751-y |
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Idioma: |
Inglês |
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Conteúdo: |
The objective of this work was to develop and evaluate agrometeorological models to simulate the production of Guineagrass. For this purpose, we used forage yield from 54 growing periods between December 2004 ? January 2007 and April 2010? March 2012 in irrigated and non-irrigated pastures in São Carlos, São Paulo state, Brazil (latitude 21°57'42'' S, longitude 47°50'28'' W and altitude 860 m). Initially we performed linear regressions between the agrometeorological variables and the average dry matter accumulation rate for irrigated conditions. Then we determined the effect of soil water availability on the relative forage yield considering irrigated and non-irrigated pastures, bymeans of segmented linearregressionamong water balance and relative production variables (dry matter accumulation rates with and without irrigation). The models generated were evaluated with independent data related to 21 growing periods without irrigation in the same location, from eight growing periods in 2000 and 13 growing periods between December 2004 ? January 2007 and April 2010 ? March 2012. The results obtained show the satisfactory predictive capacity of the agrometeorological models under irrigated conditions based on univariate regression (mean temperature, minimum temperature and potential evapotranspiration or degreedays) or multivariate regression. The response of irrigation on production was well correlated with the climatological water balance variables (ratio between actual and potential evapotranspiration or between actual and maximum soil water storage). The models that performed best for estimating Guineagrass yield without irrigation were based on minimum temperature corrected by relative soil water storage, determined by the ratio between the actual soil water storage and the soil water holding capacity.irrigation in the same location, in 2000, 2010 and 2011. The results obtained show the satisfactory predictive capacity of the agrometeorological models under irrigated conditions based on univariate regression (mean temperature, potential evapotranspiration or degree-days) or multivariate regression. The response of irrigation on production was well correlated with the climatological water balance variables (ratio between actual and potential evapotranspiration or between actual and maximum soil water storage). The models that performed best for estimating Guineagrass yield without irrigation were based on degree-days corrected by the water deficit factor. MenosThe objective of this work was to develop and evaluate agrometeorological models to simulate the production of Guineagrass. For this purpose, we used forage yield from 54 growing periods between December 2004 ? January 2007 and April 2010? March 2012 in irrigated and non-irrigated pastures in São Carlos, São Paulo state, Brazil (latitude 21°57'42'' S, longitude 47°50'28'' W and altitude 860 m). Initially we performed linear regressions between the agrometeorological variables and the average dry matter accumulation rate for irrigated conditions. Then we determined the effect of soil water availability on the relative forage yield considering irrigated and non-irrigated pastures, bymeans of segmented linearregressionamong water balance and relative production variables (dry matter accumulation rates with and without irrigation). The models generated were evaluated with independent data related to 21 growing periods without irrigation in the same location, from eight growing periods in 2000 and 13 growing periods between December 2004 ? January 2007 and April 2010 ? March 2012. The results obtained show the satisfactory predictive capacity of the agrometeorological models under irrigated conditions based on univariate regression (mean temperature, minimum temperature and potential evapotranspiration or degreedays) or multivariate regression. The response of irrigation on production was well correlated with the climatological water balance variables (ratio between actual and po... Mostrar Tudo |
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Palavras-Chave: |
Degre day; Modelling. |
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Thesagro: |
Panicum Maximum. |
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Thesaurus NAL: |
air temperature; water balance. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 03221naa a2200241 a 4500
001 1972336
005 2023-03-10
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1007/s00484-013-0751-y$2DOI
100 1 $aPEZZOPANE, J. R. M.
245 $aSimple agrometeorological models for estimating Guineagrass yield in Southeast Brazil.$h[electronic resource]
260 $c2014
520 $aThe objective of this work was to develop and evaluate agrometeorological models to simulate the production of Guineagrass. For this purpose, we used forage yield from 54 growing periods between December 2004 ? January 2007 and April 2010? March 2012 in irrigated and non-irrigated pastures in São Carlos, São Paulo state, Brazil (latitude 21°57'42'' S, longitude 47°50'28'' W and altitude 860 m). Initially we performed linear regressions between the agrometeorological variables and the average dry matter accumulation rate for irrigated conditions. Then we determined the effect of soil water availability on the relative forage yield considering irrigated and non-irrigated pastures, bymeans of segmented linearregressionamong water balance and relative production variables (dry matter accumulation rates with and without irrigation). The models generated were evaluated with independent data related to 21 growing periods without irrigation in the same location, from eight growing periods in 2000 and 13 growing periods between December 2004 ? January 2007 and April 2010 ? March 2012. The results obtained show the satisfactory predictive capacity of the agrometeorological models under irrigated conditions based on univariate regression (mean temperature, minimum temperature and potential evapotranspiration or degreedays) or multivariate regression. The response of irrigation on production was well correlated with the climatological water balance variables (ratio between actual and potential evapotranspiration or between actual and maximum soil water storage). The models that performed best for estimating Guineagrass yield without irrigation were based on minimum temperature corrected by relative soil water storage, determined by the ratio between the actual soil water storage and the soil water holding capacity.irrigation in the same location, in 2000, 2010 and 2011. The results obtained show the satisfactory predictive capacity of the agrometeorological models under irrigated conditions based on univariate regression (mean temperature, potential evapotranspiration or degree-days) or multivariate regression. The response of irrigation on production was well correlated with the climatological water balance variables (ratio between actual and potential evapotranspiration or between actual and maximum soil water storage). The models that performed best for estimating Guineagrass yield without irrigation were based on degree-days corrected by the water deficit factor.
650 $aair temperature
650 $awater balance
650 $aPanicum Maximum
653 $aDegre day
653 $aModelling
700 1 $aCRUZ, P. G. da
700 1 $aSANTOS, P. M.
700 1 $aBOSI, C.
700 1 $aARAUJO, L. C. de
773 $tInternational Journal of Biometeorology$gv. 58, p. 1479-1487, 2014.
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