1,150 research outputs found

    Fermion family number and the Z-Z^{\prime} mixing in the 3-3-1 model with right-handed neutrinos

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    Theoretical consistency of the 3-3-1 model with right-handed neutrinos demands that the number of family of fermions be exactly equal to three. In this brief report we show that such theoretical requirement results in a clean and severe bound on the Z-Z^{\prime} mixing angle: -3,979\times 10^{-3}<\phi<1,309\times 10^{-4} {with 90% CL}.Comment: Minor modification in the conclusions, some refs added, to appear at MPL

    In vitro selection of yellow passion fruit genotypes for resistance to Fusarium vascular wilt.

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    Fusarium vascular wilt (caused by Fusarium oxysporum f. sp. passiflorae) is a limiting factor in the cultivation of yellow passion fruit (Passiflora edulis). Since there is no effective and economically viable control available, development of resistant or at least tolerant cultivars are in demand. A number of procedures have been used for the initial selection of plant genotypes resistant to various fungal pathogens by means of a fungal culture filtrate or purified toxin. In this study, seeds and in vitro-grown plantlets of passion fruit were screened with different concentrations of either Fusarium oxysporum f. sp. passiflorae (FOP) culture filtrate (0, 20, 30, 40 or 50%, v/v) or fusaric acid (0.10, 0.20, 0.30 or 0.40 mM) supplemented in Murashige and Skoog (MS) basal media. Subsequently, selected plants were inoculated with a conidial suspension of FOP to assess correlation between in vivo and in vitro responses. In vitro sensitivity to the selective agents and the resistance response to the pathogen were also compared. Root growth was markedly influenced by FA, culture filtrate, and conidial suspension culture treatments. Observations indicated that roots were primary targets for attack by F. oxysporum. Successful in vitro selection of resistant genotypes by both FA and culture filtrate treatments suggested that this strategy was viable for accelerating breeding of passion fruit for resistance to the Fusarium vascular wilt

    Fundamentos e perspectivas do desenvolvimento sustentável e do uso de indicadores de sustentabi-lidade em propriedades leiteiras.

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    Ecodesenvolvimento e sustentabilidade; Desenvolvimento sustentável: origem e definição; Indicadores de sustentabilidade; Safa/FAO; RISE (Response-Inducing Sustainability Evaluation)

    Detection of co-expressed pathway modules associated with mineral concentration and meat quality in nelore cattle

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    Meat quality is a complex trait that is influenced by genetic and environmental factors, which includes mineral concentration. However, the association between mineral concentration and meat quality, and the specific molecular pathways underlying this association, are not well explored. We therefore analyzed gene expression as measured with RNA-seq in Longissimus thoracis muscle of 194 Nelore steers for association with three meat quality traits (intramuscular fat, meat pH, and tenderness) and the concentration of 13 minerals (Ca, Cr, Co, Cu, Fe, K, Mg, Mn, Na, P, S, Se, and Zn). We identified seven sets of co-expressed genes (modules) associated with at least two traits, which indicates that common pathways influence these traits. From pathway analysis of module hub genes, we further found an over-representation for energy and protein metabolism (AMPK and mTOR signaling pathways) in addition to muscle growth, and protein turnover pathways. Among the identified hub genes FASN, ELOV5, and PDE3B are involved with lipid metabolism and were affected by previously identified eQTLs associated to fat deposition. The reported hub genes and over-represented pathways provide evidence of interplay among gene expression, mineral concentration, and meat quality traits. Future studies investigating the effect of different levels of mineral supplementation in the gene expression and meat quality traits could help us to elucidate the regulatory mechanism by which the genes/pathways are affected

    Automatic Power Consumption Reading on Digital Meters based on Adaptive Thresholds and Multiresolution Templates

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    The reading of electricity consumption in Brazil is usually performedmanually. One way to improve the time spent in the reading process is toprovide a tool that recognizes the consumption based on images. In thiscontext, this paper presents a method based on adaptive template matching forrecognizing the power consumption displayed in digital power meters troughimages. This is a part of SILEM - Mobile Reading System module, a validationsystem to automatically read and process images that are captured in the field,detect inconsistencies and at the same time perform automatic consumptionrecognition. The methodology results are promising, it recognized 72.18% ofall meter consumption correctly, with 86.38% of all meter having at least 5 of 6digits correctly recognized, minimizing human interactions to correct the readpower consumption

    Análise de haplótipos em QTL associado ao conteúdo de ferro no músculo de bovinos Nelore.

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    Editores técnicos: João de Mendonça Naime, Caue Ribeiro, Maria Alice Martins, Elaine Cristina Paris, Paulino Ribeiro Villas Boas, Ladislau Marcelino Rabello

    Iron content affects lipogenic gene expression in the muscle of nelore beef cattle.

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    Iron (Fe) is an essential mineral for metabolism and plays a central role in a range of biochemical processes. Therefore, this study aimed to identify differentially expressed (DE) genes and metabolic pathways in Longissimus dorsi (LD) muscle from cattle with divergent iron content, as well as to investigate the likely role of these DE genes in biological processes underlying beef quality parameters. Samples for RNA extraction for sequencing and iron, copper, manganese, and zinc determination were collected from LD muscles at slaughter. Eight Nelore steers, with extreme genomic estimated breeding values for iron content (Fe-GEBV), were selected from a reference population of 373 animals. From the 49 annotated DE genes (FDR<0.05) found between the two groups, 18 were upregulated and 31 down-regulated for the animals in the low Fe-GEBV group. The functional enrichment analyses identified several biological processes, such as lipid transport and metabolism, and cell growth. Lipid metabolism was the main pathway observed in the analysis of metabolic and canonical signaling pathways for the genes identified as DE, including the genes FASN, FABP4, and THRSP, which are functional candidates for beef quality, suggesting reduced lipogenic activities with lower iron content. Our results indicate metabolic pathways that are partially influenced by iron, contributing to a better understanding of its participation in skeletal muscle physiology

    Co-expression network analysis identifies genes associated with iron content in bovine muscle.

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    Editores: Luiz Lehmann Coutinho, ESALQ/USP; Luciana Correia de Almeida Regitano, Embrapa Pecuária Sudeste; Gerson Barreto Mourão, ESALQ/USP; Aline Silva Mello Cesar, ESALQ/USP; Bárbara Silva Vignato, FZEA/USP; Mirele Daiana Poleti, ESALQ/USP; Wellison Jarles da Silva Diniz, UFSCar
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