Publicações - ciências agrárias
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Rayane Sol Amaral Silva Sgarbossa;
Gisele Vieira Sechi;
Marconi Rodrigues de Farias;
Antonio Felipe Paulino de Figueiredo Wouk;
Raniere Gaertner;
Carolina Zaghi Cavalcante
ACTA SCIENTIAE VETERINARIAE (ONLINE),
v. 46,
p. 1-7,
2018
Palavra-chave:
myelolipoma;
hyperadrenocorticism;
Dog;
adrenal glands
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Medicina Veterinária; Clínica e Cirurgia Animal; Clínica Veterinária
resumo ...
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PAVELSKI, MARIANA;
SEIXAS, SANDRA V.;
WARTH, JOSÉ FRANCISCO G.;
SOUZA, CYBELLE DE;
Rosangela Locatelli Dittrich;
FROES, TILDE R.
Palavra-chave:
pulmonar
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Tecnologia de Alimentos
resumo ...
ABSTRACT: Fungal pneumonia has been a differential diagnosis in dogs and cats with pulmonary...
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PAVELSKI, MARIANA;
SEIXAS, SANDRA V.;
WARTH, JOSÉ FRANCISCO G.;
SOUZA, CYBELLE DE;
DITTRICH, ROSANGELA L.;
Tilde Froes
Palavra-chave:
fungal pneumonia;
Dog;
cat
resumo ...
ABSTRACT: Fungal pneumonia has been a differential diagnosis in dogs and cats with pulmonary...
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Hendyel Pacheco;
Simone Soares Silva;
Anil Sigdel;
Chun Kuen Mak;
Klibs Galvao;
Rodrigo de Almeida Teixeira;
Laila Talarico Dias Teixeira;
Francisco Peñagaricano
Palavra-chave:
calcium methabolism;
Enrichment analysis;
Periparturient hypocalcemia;
Vitamin D metabolism;
Whole-genome scan
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Zootecnia; Genética e Melhoramento dos Animais Domésticos
resumo ...
Milk fever is an important metabolic disorder that affects dairy cows around parturition. It is associated with a breakdown in the mechanisms of calcium homeostasis, resulting in very low blood calcium levels (hypocalcemia). The main objective of this study was to dissect the genetic basis underlying milk fever incidence in Holstein cattle. Data consisted of 31.6 k producer-recorded lactation incidence records from 15.3 k cows. The analysis included a whole-genome scan and a subsequent gene-set analysis in order to reveal individual genes, genetic mechanisms and biological pathways implicated in the incidence of periparturient hypocalcemia. The association analysis identified at least eight different genomic regions that explain considerable amounts of additive genetic variance for milk fever incidence. Notably, some of these regions harbor genes, such as CYP27A1, CYP2J2, GC, SNAI2, and PIM1, that are directly involved in vitamin D metabolic pathway. Moreover, the gene-set analysis revealed several functional terms, such as calcium ion binding, calcium ion transportation, T cell differentiation, B cell activation, protein phosphorylation, apoptosis, and protein kinase activity, among others, that could be implicated in the development of periparturient hypocalcemia. Overall, this comprehensive study contributes to a better understanding of the genetic control of this complex disease. In addition, these findings may contribute to the development of novel breeding strategies...
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PACHECO, HENDYEL A.;
DA SILVA, SIMONE;
SIGDEL, ANIL;
MAK, CHUN KUEN;
GALVÃO, KLIBS N.;
Rodrigo de Almeida Teixeira;
DIAS, LAILA T.;
PEÑAGARICANO, FRANCISCO
Palavra-chave:
metabolismo;
marcadores;
vacas leiteiras;
GWAS
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Zootecnia; Genética e Melhoramento dos Animais Domésticos
resumo ...
Milk fever is an important metabolic disorder that affects dairy cows around parturition. It is associated with a breakdown in the mechanisms of calcium homeostasis, resulting in very low blood calcium levels (hypocalcemia). The main objective of this study was to dissect the genetic basis underlying milk fever incidence in Holstein cattle. Data consisted of 31.6 k producer-recorded lactation incidence records from 15.3 k cows. The analysis included a whole-genome scan and a subsequent gene-set analysis in order to reveal individual genes, genetic mechanisms and biological pathways implicated in the incidence of periparturient hypocalcemia. The association analysis identified at least eight different genomic regions that explain considerable amounts of additive genetic variance for milk fever incidence. Notably, some of these regions harbor genes, such as CYP27A1, CYP2J2, GC, SNAI2, and PIM1, that are directly involved in vitamin D metabolic pathway. Moreover, the gene-set analysis revealed several functional terms, such as calcium ion binding, calcium ion transportation, T cell differentiation, B cell activation, protein phosphorylation, apoptosis, and protein kinase activity, among others, that could be implicated in the development of periparturient hypocalcemia. Overall, this comprehensive study contributes to a better understanding of the genetic control of this complex disease. In addition, these findings may contribute to the development of novel breeding strategies...
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POLIZEL, GUILHERME HENRIQUE GEBIM;
GRIGOLETTO, LAIS;
CARVALHO, MINOS ESPERÂNDIO;
Paulo Rossi Júnior;
FERRAZ, JOSÉ BENTO STERMAN;
SANTANA, MIGUEL HENRIQUE DE ALMEIDA
Palavra-chave:
Bovinos de corte;
growing bulls;
Gado Nelore - Nutrição
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Zootecnia; Nutrição e Alimentação Animal; Exigências Nutricionais dos Animais
resumo ...
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PASCOALINO, JOÃO AUGUSTO LOPES;
THOMPSON, JACQUELINE A.;
WRIGHT, GLADYS;
FRANCO, FRANCISCO ASSIS;
SCHEEREN, PEDRO LUIZ;
Volnei Pauletti;
MORAES, MILTON FERREIRA;
WHITE, PHILIP JOHN
Palavra-chave:
Biofortificação;
no till;
biofortification
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Agronomia; Ciência do Solo; Nutrição Mineral de Plantas;
CIENCIAS_AGRARIAS; Agronomia; Ciência do Solo; Fertilidade do Solo e Adubação
resumo ...
The combined application of nitrogen (N) and zinc (Zn) fertilizers is a promising agronomic strategy for the biofortification of wheat grain with Zn for human nutrition. A glasshouse experiment was carried out to assess the effects of supplying N on the uptake, translocation and accumulation of Zn in tissues of two wheat genotypes (Quartzo and BRS Parrudo) with contrasting potential for grain Zn biofortification. Winter wheat genotypes were grown to maturity in 5 cm diameter, 100 cm length tubes filled with a mixture of sand, grit and gravel (40:40:20 v/v/v) over a layer of 0.1 m3 of gravel, and supplied a full nutrient solution with low Zn (0.15 μM) or high Zn (2.25 μM) and low N (0.4 mM) or high N (4.0 mM) concentrations. High N supply increased biomass production, Zn concentration and Zn content of straw and grain in both Quartzo and BRS Parrudo. Grain Zn content more than doubled when the supplies of Zn and N were both increased from low to high in both genotypes. Quartzo had a greater grain yield than BRS Parrudo. BRS Parrudo had greater grain Zn concentration and Zn content than Quartzo. A greater N supply promoted better uptake, translocation to the shoot and accumulation of Zn within the grain. Quartzo and BRS Parrudo differed in their partitioning of biomass and Zn between tissues. It might be possible to combine the greater grain yield of Quartzo with the greater grain Zn accumulation of BRS Parrudo to deliver a greatly improved genotype for human food security.
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Gerson L. Lisboa;
Solon Jonas Longhi;
Afonso Figueiredo Filho;
Dirceu Lúcio Carneiro de Miranda;
Thiago Floriani Stepka;
Clebson Lima Cerqueira;
Luciano Cavalcante de Jesus França;
Edson Luis Serpe
REVISTA CIENTÍFICA ELETRÔNICA DE ENGENHARIA FLORESTAL,
v. 31,
n. 2,
p. 1-17,
2018
Palavra-chave:
analise multivariada;
composição florística;
fitossociologia;
floresta com araucária
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Recursos Florestais e Engenharia Florestal; Manejo Florestal; Dendrometria e Inventário Florestal;
CIENCIAS_AGRARIAS; Recursos Florestais e Engenharia Florestal; Conservação da Natureza; Recuperação de Areas Degradadas
resumo ...
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Nelson Potenciano Marinho;
GRACIELA I B DE MUNIZ;
Silvana Nisgoski;
Ivan Venson;
Pedro Henrique Gonzalez de Cademartori;
Alan Sulato de Andrade
Palavra-chave:
rami;
morfoanatomia
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Tecnologia e Utilização de Produtos Florestais; Tecnologia de Chapas
resumo ...
(en)
Analyzes of samples of stem and fiber Boehmeria nivea var. Murakami were performed to increase information on the plant and disseminate its multiple possibilities of use. The histochemical analyzes with dyes and reagents showed the presence of lignified, suberous and cutinized cell walls with Safranin in the xylem region. The presence of pectin-cellulose with Astra Blue was confirmed in the regions of fiber bundles (cortex). In all regions of the stem were identified substances such as fat and mucilage with Methylene Blue evidencing high concentrations in the regions of fiber bundles and bark (violet blue). By means of Lugol (dark brown) starches were identified in several parts of the stem with concentrations in the xylem and epidermal regions. Through analyzes by EDS it was possible to identify F, Mg, Al, Si, K and Ca with predominance of K. In the chemical analyzes of the fibers were found 71.75 of cellulose, 12.11 of hemicelluloses, 1.06 of lignin and 1.70% of ashes. The percentages of extractives soluble in hot and cold water were 5.28 and 3.12% respectively, for Ethanol-Toluene was 8.55 and NaOH (1%) 27.27%. Histochemical analyzes revealed important characteristics of the fiber and stem contributing with better knowledge of the species.
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SOUSA, INGRIDY MIKAELLY PEREIRA;
CARVALHO, EDMAR VINICIUS DE;
Antonio Carlos Batista;
MACHADO, IGOR ELOI SILVA;
TAVARES, MAIRA ELISA FERREIRA;
GIONGO, MARCOS
Palavra-chave:
fire burned areas;
spectral behavior;
orbital data
Áreas do conhecimento:
CIENCIAS_AGRARIAS; Recursos Florestais e Engenharia Florestal; Conservação da Natureza; Controle de incêndios florestais;
CIENCIAS_AGRARIAS; Recursos Florestais e Engenharia Florestal; Silvicultura; Fisiologia Florestal;
CIENCIAS_AGRARIAS; Recursos Florestais e Engenharia Florestal; Conservação da Natureza; Recuperação de Areas Degradadas
resumo ...
(en)
Obtaining information on burned areas has been studied and improved in the last decades, and the biggest question is the acquisition of consistent and detailed information about the occurrence of burnings in a simple and effective way. In view of this, remote sensing is a very interesting tool because it allows obtaining information in large areas of difficult access. The identification of areas burned by orbital data is directly related to their spectral behavior. The objective of this study was to analyze the performance of spectral indices in the identification of burned area in OLI/Landsat-8 satellite images. The indices for the before and after fire images were calculated using bands of red and near infrared: NDVI, MSAVI, SAVI, and GEMI, and bands of near infrared and short wave infrared: NBR, BAIMmod, and MIRBImod. The difference between pre and post-fire index was also calculated: dNDVI, dMSAVI, dSAVI, dGEMI, dNBR, dBAIMmod, and dMIRBImod. From these indices, six different compositions (RGB) were created and later they were segmented and classified in a non-supervised way and soon after made the extraction of the area of interest. The results of this classification were validated with the reference data obtained through the visual interpretation of the image. The methods had shown a good quality of classification, with a percentage of accuracy ranging from 85.54 to 92.46% and Kappa value of 0.70 to 0.89. The best method was the dNBR, NBRpost-fire, and dMIRBImod indices in the RGB composite.
(pt)
Obtaining information on burned areas has been studied and improved in the last decades, and the biggest question is the acquisition of consistent and detailed information about the occurrence of burnings in a simple and effective way. In view of this, remote sensing is a very interesting tool because it allows obtaining information in large areas of difficult access. The identification of areas burned by orbital data is directly related to their spectral behavior. The objective of this study was to analyze the performance of spectral indices in the identification of burned area in OLI/Landsat-8 satellite images. The indices for the before and after fire images were calculated using bands of red and near infrared: NDVI, MSAVI, SAVI, and GEMI, and bands of near infrared and short wave infrared: NBR, BAIMmod, and MIRBImod. The difference between pre and post-fire index was also calculated: dNDVI, dMSAVI, dSAVI, dGEMI, dNBR, dBAIMmod, and dMIRBImod. From these indices, six different compositions (RGB) were created and later they were segmented and classified in a non-supervised way and soon after made the extraction of the area of interest. The results of this classification were validated with the reference data obtained through the visual interpretation of the image. The methods had shown a good quality of classification, with a percentage of accuracy ranging from 85.54 to 92.46% and Kappa value of 0.70 to 0.89. The best method was the dNBR, NBRpost-fire, and dMIRBImod indices in the RGB composite.
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