| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Gado de Leite. |
|
Data corrente: |
04/10/2011 |
|
Data da última atualização: |
05/02/2024 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
FONSECA, I.; ANTUNES, G. R.; PAIVA, D. de S.; LANGE, C. C.; GUIMARÃES, S. E. F.; MARTINS, M. F. |
|
Afiliação: |
ISABELA FONSECA, UFV; GUSTAVO RESENDE ANTUNES, UFJF; DAISYLÉA DE SOUZA PAIVA, UFJF; CARLA CHRISTINE LANGE, CNPGL; SIMONE ELISA FACIONI GUIMARÃES, UFV; MARTA FONSECA MARTINS, CNPGL. |
|
Título: |
Differential expression of genes during mastitis in Holstein-Zebu crossbreed dairy cows. |
|
Ano de publicação: |
2011 |
|
Fonte/Imprenta: |
Genetics and Molecular Research, v. 10, n. 3, p. 1295-1303, 2011. |
|
DOI: |
https://doi.org/10.4238/vol10-3gmr1096 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Among the potential public health problems of animal production, infectious-contagious diseases stand out. Mastitis is among the main diseases affecting dairy cattle. One of the most promising options to reduce the problems caused by this disease, besides proper sanitary and management practices, is selective breeding of resistant animals. To shed light on the immune response mechanisms involved in the resistance/susceptibility phenotype to this disease, we quantified the relative expression of the genes IL-2, IL-6, IL-8, IL-12, IFN-γ, TNF-α, TLR-2, SEMA5A, and FEZL in cells of crossbreed dairy cows, divided into two groups, one healthy and the other suffering from clinical mastitis. Total RNA was extracted from the cells in the milk from the animals in each group (with and without clinical mastitis). Gene expression was determined using the real-time PCR method. The levels of gene expression were compared, and the cows with mastitis were found to express 2.5 times more TLR-2 than those free of mastitis (P < 0.05). There were no significant differences in the expression of the other genes. |
|
Palavras-Chave: |
Real-time PCR; Resistance to mastitis; Toll-like receptor 2 gene. |
|
Thesaurus Nal: |
immune response. |
|
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/54216/1/Differential-expression-of-genes-during.pdf
|
|
Marc: |
LEADER 01871naa a2200241 a 4500
001 1902309
005 2024-02-05
008 2011 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.4238/vol10-3gmr1096$2DOI
100 1 $aFONSECA, I.
245 $aDifferential expression of genes during mastitis in Holstein-Zebu crossbreed dairy cows.$h[electronic resource]
260 $c2011
520 $aAmong the potential public health problems of animal production, infectious-contagious diseases stand out. Mastitis is among the main diseases affecting dairy cattle. One of the most promising options to reduce the problems caused by this disease, besides proper sanitary and management practices, is selective breeding of resistant animals. To shed light on the immune response mechanisms involved in the resistance/susceptibility phenotype to this disease, we quantified the relative expression of the genes IL-2, IL-6, IL-8, IL-12, IFN-γ, TNF-α, TLR-2, SEMA5A, and FEZL in cells of crossbreed dairy cows, divided into two groups, one healthy and the other suffering from clinical mastitis. Total RNA was extracted from the cells in the milk from the animals in each group (with and without clinical mastitis). Gene expression was determined using the real-time PCR method. The levels of gene expression were compared, and the cows with mastitis were found to express 2.5 times more TLR-2 than those free of mastitis (P < 0.05). There were no significant differences in the expression of the other genes.
650 $aimmune response
653 $aReal-time PCR
653 $aResistance to mastitis
653 $aToll-like receptor 2 gene
700 1 $aANTUNES, G. R.
700 1 $aPAIVA, D. de S.
700 1 $aLANGE, C. C.
700 1 $aGUIMARÃES, S. E. F.
700 1 $aMARTINS, M. F.
773 $tGenetics and Molecular Research$gv. 10, n. 3, p. 1295-1303, 2011.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
14/09/2021 |
|
Data da última atualização: |
14/09/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 2 |
|
Autoria: |
MARÇAL, M. F. M.; SOUZA, Z. M. de; TAVARES, R. L. M.; FARHATE, C. V. V.; OLIVEIRA, S. R. de M.; GALINDO, F. S. |
|
Afiliação: |
MARIA FERNANDA MAGIONI MARÇAL, FEAGRI/UNICAMP; ZIGOMAR MENEZES DE SOUZA, FEAGRI/UNICAMP; ROSE LUIZA MORAES TAVARES, UNIVERSITY OF RIO VERDE; CAMILA VIANA VIEIRA FARHATE, FEAGRI/UNICAMP, UNESP; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; FERNANDO SHINTATE GALINDO, FEAGRI/UNICAMP, UNESP. |
|
Título: |
Predictive models to estimate carbon stocks in agroforestry systems. |
|
Ano de publicação: |
2021 |
|
Fonte/Imprenta: |
Forests, v. 12, n. 9, p. 1-15, Sept. 2021. |
|
DOI: |
https://doi.org/10.3390/f12091240 |
|
Idioma: |
Inglês |
|
Notas: |
Article 1240. Na publicação: Stanley Robson Medeiros Oliveira. |
|
Conteúdo: |
Abstract: This study aims to assess the carbon stock in a pasture area and fragment of forest in natural regeneration, given the importance of agroforestry systems in mitigating gas emissions which contribute to the greenhouse effect, as well as promoting the maintenance of agricultural productivity. Our other goal was to predict the carbon stock, according to different land use systems, from physical and chemical soil variables using the Random Forest algorithm. We carried out our study at an Entisols Quartzipsamments area with a completely randomized experimental design: four treatments and six replites. The treatments consisted of the following: (i) an agroforestry system developed for livestock, (ii) an agroforestry system developed for fruit culture, (iii) a conventional pasture, and (iv) a forest fragment. Deformed and undeformed soil samples were collected in order to analyze their physical and chemical properties across two consecutive agricultural years. The response variable, carbon stock, was subjected to a boxplot analysis and all the databases were used for a predictive modeling which in turn used the Random Forest algorithm. Results led to the conclusion that the agroforestry systems developed both for fruit culture and livestock, are more efficient at stocking carbon in the soil than the pasture area and forest fragment undergoing natural regeneration. Nitrogen stock and land use systems are the most important variables to estimate carbon stock from the physical and chemical variables of soil using the Random Forest algorithm. The predictive models generated from the physical and chemical variables of soil, as well as the Random Forest algorithm, presented a high potential for predicting soil carbon stock and are sensitive to different land use systems. MenosAbstract: This study aims to assess the carbon stock in a pasture area and fragment of forest in natural regeneration, given the importance of agroforestry systems in mitigating gas emissions which contribute to the greenhouse effect, as well as promoting the maintenance of agricultural productivity. Our other goal was to predict the carbon stock, according to different land use systems, from physical and chemical soil variables using the Random Forest algorithm. We carried out our study at an Entisols Quartzipsamments area with a completely randomized experimental design: four treatments and six replites. The treatments consisted of the following: (i) an agroforestry system developed for livestock, (ii) an agroforestry system developed for fruit culture, (iii) a conventional pasture, and (iv) a forest fragment. Deformed and undeformed soil samples were collected in order to analyze their physical and chemical properties across two consecutive agricultural years. The response variable, carbon stock, was subjected to a boxplot analysis and all the databases were used for a predictive modeling which in turn used the Random Forest algorithm. Results led to the conclusion that the agroforestry systems developed both for fruit culture and livestock, are more efficient at stocking carbon in the soil than the pasture area and forest fragment undergoing natural regeneration. Nitrogen stock and land use systems are the most important variables to estimate carbon stock from the physic... Mostrar Tudo |
|
Palavras-Chave: |
Agroforestry systems; Data mining technique; Floresta aleatória; Land use systems; Mineração de dados; Modelo preditivo; Predictive models; Random forest; Sequestro de carbono; Sistemas agroflorestais; Sistemas de uso da terra. |
|
Thesagro: |
Matéria Orgânica; Uso da Terra. |
|
Thesaurus NAL: |
Agroforestry; Carbon sequestration; Land use; Organic matter. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225942/1/AP-Predictive-models-Forests-2021.pdf
|
|
Marc: |
LEADER 03046naa a2200409 a 4500
001 2134318
005 2021-09-14
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/f12091240$2DOI
100 1 $aMARÇAL, M. F. M.
245 $aPredictive models to estimate carbon stocks in agroforestry systems.$h[electronic resource]
260 $c2021
500 $aArticle 1240. Na publicação: Stanley Robson Medeiros Oliveira.
520 $aAbstract: This study aims to assess the carbon stock in a pasture area and fragment of forest in natural regeneration, given the importance of agroforestry systems in mitigating gas emissions which contribute to the greenhouse effect, as well as promoting the maintenance of agricultural productivity. Our other goal was to predict the carbon stock, according to different land use systems, from physical and chemical soil variables using the Random Forest algorithm. We carried out our study at an Entisols Quartzipsamments area with a completely randomized experimental design: four treatments and six replites. The treatments consisted of the following: (i) an agroforestry system developed for livestock, (ii) an agroforestry system developed for fruit culture, (iii) a conventional pasture, and (iv) a forest fragment. Deformed and undeformed soil samples were collected in order to analyze their physical and chemical properties across two consecutive agricultural years. The response variable, carbon stock, was subjected to a boxplot analysis and all the databases were used for a predictive modeling which in turn used the Random Forest algorithm. Results led to the conclusion that the agroforestry systems developed both for fruit culture and livestock, are more efficient at stocking carbon in the soil than the pasture area and forest fragment undergoing natural regeneration. Nitrogen stock and land use systems are the most important variables to estimate carbon stock from the physical and chemical variables of soil using the Random Forest algorithm. The predictive models generated from the physical and chemical variables of soil, as well as the Random Forest algorithm, presented a high potential for predicting soil carbon stock and are sensitive to different land use systems.
650 $aAgroforestry
650 $aCarbon sequestration
650 $aLand use
650 $aOrganic matter
650 $aMatéria Orgânica
650 $aUso da Terra
653 $aAgroforestry systems
653 $aData mining technique
653 $aFloresta aleatória
653 $aLand use systems
653 $aMineração de dados
653 $aModelo preditivo
653 $aPredictive models
653 $aRandom forest
653 $aSequestro de carbono
653 $aSistemas agroflorestais
653 $aSistemas de uso da terra
700 1 $aSOUZA, Z. M. de
700 1 $aTAVARES, R. L. M.
700 1 $aFARHATE, C. V. V.
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aGALINDO, F. S.
773 $tForests$gv. 12, n. 9, p. 1-15, Sept. 2021.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
