Efeitos de doses de nitrogênio na produção de leite de vacas em pastagem de coast-cross

O objetivo do trabalho consistiu em avaliar os efeitos de três doses de nitrogênio (N), 100, 250 e 400 kg/ha/ano, aplicadas em pastagem de coast-cross (Cynodon dactylon (L.) Pers.) sobre a produção de leite em duas lactações de vacas da raça Holandesa. A pastagem foi irrigada na seca e manejada sob pastejo rotativo. O delineamento experimental foi o de blocos ao acaso, em parcelas subdividas (nas parcelas, doses de N; nas subparcelas, fases da lactação), com oito animais por tratamento e duas repetições de área. Os teores de proteína bruta do pasto foram semelhantes (P>0,05) entre os tratamentos. A taxa de lotação da pastagem foi inferior (P<0,05) na menor dose de N. Não foi observada diferença (P>0,05) na produção diária de leite por animal. As produções de leite por área foram mais elevadas (P<0,05) nas duas maiores doses de N. A aplicação de 100 kg/ha/ano de N foi a que proporcionou maior quantidade de leite por quilograma de N.

Keeping the Vermin Out: Perceived Disease Threat and Ideological Orientations as Predictors of Exclusionary Immigration Attitudes

Integrating evolutionary and social representations theories, the current study examines the relationship between perceived disease threat and exclusionary immigration attitudes in the context of a potential avian influenza pandemic. This large-scale disease provides a realistic context for investigating the link between disease threat and immigration attitudes. The main aim of this cross-sectional study (N=412) was to explore mechanisms through which perceived chronic and contextual disease threats operate on immigration attitudes. Structural equation models show that the relationship between chronic disease threat (germ aversion) and exclusionary immigration attitudes (assimiliationist immigration criteria, health-based immigration criteria and desire to reduce the proportion of foreigners) was mediated by ideological and normative beliefs (social dominance orientation, belief in a dangerous world), but not by contextual disease threat (appraisal of avian influenza pandemic threat). Contextual disease threat only predicted support for health-based immigration criteria. The conditions under which real-life disease threats influence intergroup attitudes are scrutinized. Convergence and dissimilarity of evolutionary and social representational approaches in accounting for the link between disease threat and immigration attitudes are discussed.

EuroPhenome: a repository for high-throughput mouse phenotyping data.

The broad aim of biomedical science in the postgenomic era is to link genomic and phenotype information to allow deeper understanding of the processes leading from genomic changes to altered phenotype and disease. The EuroPhenome project (http://www.EuroPhenome.org) is a comprehensive resource for raw and annotated high-throughput phenotyping data arising from projects such as EUMODIC. EUMODIC is gathering data from the EMPReSSslim pipeline (http://www.empress.har.mrc.ac.uk/) which is performed on inbred mouse strains and knock-out lines arising from the EUCOMM project. The EuroPhenome interface allows the user to access the data via the phenotype or genotype. It also allows the user to access the data in a variety of ways, including graphical display, statistical analysis and access to the raw data via web services. The raw phenotyping data captured in EuroPhenome is annotated by an annotation pipeline which automatically identifies statistically different mutants from the appropriate baseline and assigns ontology terms for that specific test. Mutant phenotypes can be quickly identified using two EuroPhenome tools: PhenoMap, a graphical representation of statistically relevant phenotypes, and mining for a mutant using ontology terms. To assist with data definition and cross-database comparisons, phenotype data is annotated using combinations of terms from biological ontologies.

Mechanisms of cross-modal plasticity in early-blind subjects.

A variety of studies have demonstrated enhanced blood oxygenation level dependent responses to auditory and tactile stimuli within occipital cortex as a result of early blindness. However, little is known about the organizational principles that drive this cross-modal plasticity. We compared BOLD responses to a wide variety of auditory and tactile tasks (vs. rest) in early-blind and sighted subjects. As expected, cross-modal responses were larger in blind than in sighted subjects in occipital cortex for all tasks (cross-modal plasticity). Within both blind and sighted subject groups, we found patterns of cross-modal activity that were remarkably similar across tasks: a large proportion of cross-modal responses within occipital cortex are neither task nor stimulus specific. We next examined the mechanisms underlying enhanced BOLD responses within early-blind subjects. We found that the enhancement of cross-modal responses due to early blindness was best described as an additive shift, suggesting that cross-modal plasticity within blind subjects does not originate from either a scaling or unmasking of cross-modal responsivities found in sighted subjects.

Utilização de gordura protegida durante o terço inicial da lactação de vacas leiteiras em pastagem de coast-cross

O experimento foi realizado com o objetivo de avaliar o aumento na densidade energética de um concentrado quando se usa uma fonte comercial de gordura protegida, fornecida para vacas da raça Holandesa em pastagem de coast-cross-1 (Cynodon dactylon (L.) Pers.), durante o terço inicial da lactação. Foram utilizadas 14 vacas, todas no início da lactação e recebendo 9, 6 e 3 kg/vaca/dia de concentrado (23,5% de proteína bruta e 80% de NDT), no terço inicial (até 90 dias), médio (91 a 180 dias) e final (de 181 a 273 dias), respectivamente. Esses animais foram distribuídos, usando blocos casualizados, em dois tratamentos (sete vacas cada) determinados pelo fornecimento ou não de 700 g/vaca/dia da gordura protegida. Usou-se cerca eletrificada para auxiliar no manejo da pastagem, que se baseou em pastejo rotativo, com um dia de ocupação dos piquetes e o período de descanso variando de 25 a 32 dias no verão e no inverno, respectivamente. As produções médias de leite nos três períodos avaliados aumentaram (P<0,05) de 18,4, 15,2 e 13,7 kg/vaca/dia para 21,3, 17,1 e 14,4 kg/vaca/dia, com o suprimento de gordura protegida nos primeiros 90 dias do experimento. A taxa de lotação média das pastagens foi de 4,6 vacas/ha, o que possibilitou produções médias diárias de leite, no decorrer do experimento, de 72,4 kg/ha corrigido para 3,5% de gordura para o tratamento testemunha, e de 80,4 kg/ha com o uso da gordura protegida.

Worlds of working poverty : Cross-national variation in the mechanisms that lead to poverty among workers

The objective of this paper is to distinguish between different types of working poverty, on the basis of the mechanisms that produce it. Whereas the poverty literature identifies a myriad of risk factors and of categories of disadvantaged workers, we focus on three immediate causes of working poverty, namely low wage rate, weak labour force attachment, and high needs, the latter mainly due to the presence of children (and sometimes to the increase in needs caused by a divorce). These three mechanisms are the channels through which macroeconomic, demographic and policy factors have a direct bearing on working households. The main assumption tested here is that welfare regimes strongly influence the relative weight of these three mechanisms in producing working poverty, and, hence, the composition of the working-poor population. Our figures confirm this hypothesis and show that low-wage employment is a key factor, but, by far, not the only one and that family policies broadly understood play a decisive role, as well as patterns of labour market participation and integration.

Impact of Duration of Primary Education on School Enrollment, Graduation and Drop-outs: A Cross- Country Analysis

Using a panel data for non-OECD countries covering the period 1970-2012, this chapter analyzes the impact of the duration of primary education on school enrollment, drop-out and completion rates. The empirical results show that for children in elementary school one ad- ditional grade of primary education have a negative impact on the enrollment rate, while the e ect on drop-outs is positive. Analogously, it is obtained that an additional grade in primary education reduces the enrollment rate in secondary education. These results are in line with the fertility model approach, that is, in developing and underdeveloped countries parents do not have incentive to send children to school given the high perceived economic value of children.

Prediction of cross-recognition of peptide-HLA A2 by Melan-A-specific cytotoxic T lymphocytes using three-dimensional quantitative structure-activity relationships.

The cross-recognition of peptides by cytotoxic T lymphocytes is a key element in immunology and in particular in peptide based immunotherapy. Here we develop three-dimensional (3D) quantitative structure-activity relationships (QSARs) to predict cross-recognition by Melan-A-specific cytotoxic T lymphocytes of peptides bound to HLA A*0201 (hereafter referred to as HLA A2). First, we predict the structure of a set of self- and pathogen-derived peptides bound to HLA A2 using a previously developed ab initio structure prediction approach [Fagerberg et al., J. Mol. Biol., 521-46 (2006)]. Second, shape and electrostatic energy calculations are performed on a 3D grid to produce similarity matrices which are combined with a genetic neural network method [So et al., J. Med. Chem., 4347-59 (1997)] to generate 3D-QSAR models. The models are extensively validated using several different approaches. During the model generation, the leave-one-out cross-validated correlation coefficient (q (2)) is used as the fitness criterion and all obtained models are evaluated based on their q (2) values. Moreover, the best model obtained for a partitioned data set is evaluated by its correlation coefficient (r = 0.92 for the external test set). The physical relevance of all models is tested using a functional dependence analysis and the robustness of the models obtained for the entire data set is confirmed using y-randomization. Finally, the validated models are tested for their utility in the setting of rational peptide design: their ability to discriminate between peptides that only contain side chain substitutions in a single secondary anchor position is evaluated. In addition, the predicted cross-recognition of the mono-substituted peptides is confirmed experimentally in chromium-release assays. These results underline the utility of 3D-QSARs in peptide mimetic design and suggest that the properties of the unbound epitope are sufficient to capture most of the information to determine the cross-recognition.