Physiological responses and production of 'Syrah' vines as a function of training systems

Plant architecture and its interaction with agricultural practices and environmental constraints is determinant for grapevine canopy structure, which is related to carbon assimilation, bud fertility and fruit quality. In this context, this study evaluated the performance of field-grown 'Syrah' grapevines conducted by two management systems: Vertical Shoot Position (VSP) or a modified Geneva Double Curtain (GDC), in Pirapora, state of Minas Gerais, Brazil, during the winters of 2007 and 2008. The evaluations of leaf area, water relations and net CO2 assimilation were made at the end of the ripening period. Yield per vine and per hectare were estimated and mean berry weight and diameter, total soluble solids, pH and titratable acidity were evaluated during berry ripening. The grapevines trained in VSP had higher water status as compared to GDC, shown by differences in pre-dawn leaf water potential (ψpd) and stem water potential (ψstem). However, the CO2 assimilation was similar in both training systems. Fruit exposure was higher in VSP than in GDC, which contributed to increasing berry temperature. At harvest, the berries in GDC reached values near to 23 ºBrix whereas berries in VSP showed values near 21 ºBrix

The psychological science accelerator’s COVID-19 rapid-response dataset

In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data

Measurement of CP asymmetries and branching fraction ratios of B− decays to two charm mesons

The $CP$ asymmetries of seven $B^-$ decays to two charm mesons are measured using data corresponding to an integrated luminosity of $9\text{fb}^{-1}$ of proton-proton collisions collected by the LHCb experiment. Decays involving a $D^{*0}$ or $D^{*-}_s$ meson are analysed by reconstructing only the $D^0$ or $D^-_s$ decay products. This paper presents the first measurement of $\mathcal{A}^{CP}(B^- \rightarrow D^{*-}_s D^0)$ and $\mathcal{A}^{CP}(B^- \rightarrow D^{-}_s D^{*0})$, and the most precise measurement of the other five $CP$ asymmetries. There is no evidence of $CP$ violation in any of the analysed decays. Additionally, two ratios between branching fractions of selected decays are measured.The CP asymmetries of seven B$^{−}$ decays to two charm mesons are measured using data corresponding to an integrated luminosity of 9 fb$^{−1}$ of proton-proton collisions collected by the LHCb experiment. Decays involving a D$^{*0}$ or ${D}_s^{\ast -}$ meson are analysed by reconstructing only the D$^{0}$ or ${D}_s^{-}$ decay products. This paper presents the first measurement of $\mathcal{A} ^{CP}$(B$^{−}$→${D}_s^{\ast -}$D$^{0}$) and $\mathcal{A} ^{CP}$(B$^{−}$→${D}_s^{-}$D$^{∗0}$), and the most precise measurement of the other five CP asymmetries. There is no evidence of CP violation in any of the analysed decays. Additionally, two ratios between branching fractions of selected decays are measured.[graphic not available: see fulltext]The $CP$ asymmetries of seven $B^-$ decays to two charm mesons are measured using data corresponding to an integrated luminosity of $9\text{ fb}^{-1}$ of proton-proton collisions collected by the LHCb experiment. Decays involving a $D^{*0}$ or $D^{*-}_s$ meson are analysed by reconstructing only the $D^0$ or $D^-_s$ decay products. This paper presents the first measurement of $\mathcal{A}^{CP}(B^- \rightarrow D^{*-}_s D^0)$ and $\mathcal{A}^{CP}(B^- \rightarrow D^{-}_s D^{*0})$, and the most precise measurement of the other five $CP$ asymmetries. There is no evidence of $CP$ violation in any of the analysed decays. Additionally, two ratios between branching fractions of selected decays are measured

Helium identification with LHCb

The identification of helium nuclei at LHCb is achieved using a method based on measurements of ionisation losses in the silicon sensors and timing measurements in the Outer Tracker drift tubes. The background from photon conversions is reduced using the RICH detectors and an isolation requirement. The method is developed using pp collision data at √(s) = 13 TeV recorded by the LHCb experiment in the years 2016 to 2018, corresponding to an integrated luminosity of 5.5 fb-1. A total of around 105 helium and antihelium candidates are identified with negligible background contamination. The helium identification efficiency is estimated to be approximately 50% with a corresponding background rejection rate of up to O(10^12). These results demonstrate the feasibility of a rich programme of measurements of QCD and astrophysics interest involving light nuclei

Variabilidade espacial do potencial erosivo das chuvas no Estado do Rio de Janeiro Spatial variability of the rainfall erosive potential in the State of Rio de Janeiro, Brazil

Desenvolveu-se este trabalho com o objetivo de analisar a variabilidade espacial da erosividade no Estado do Rio de Janeiro, por meio de análise geoestatística. Os índices de erosividade médios anuais EI30, definidos pelo produto da energia cinética da chuva e sua intensidade máxima em 30 min e KE>25 (definidos como a energia cinética das chuvas com intensidades superiores a 25 mm h-1) foram calculados a partir de dados pluviográficos de 36 estações, enquanto, para outras 57 estações, os mesmos índices foram estimados por meio de equações de regressão, totalizando 93 pontos de amostragem. O modelo matemático ajustado ao semivariograma experimental, para ambos os índices, foi o exponencial. A partir dos parâmetros dos modelos ajustados, foi possível gerar mapas de erosividade pelo método da krigagem, que apresenta vantagens em relação aos métodos convencionais. Além disso, também foram gerados mapas de variância de krigagem. Os maiores valores de erosividade foram observados nas regiões Serrana e da Baía da Ilha Grande, enquanto os menores valores foram observados nas regiões norte e noroeste do Estado. As maiores variâncias de krigagem foram observadas nas regiões Litorânea e Norte, que são as que apresentam menores densidades de amostragem.<br>The objective of this study was to analyze the spatial variability of the rainfall erosivity indices for the State of Rio de Janeiro, Brazil, using geostatistical analysis. Rainfall erosivity indices EI30 (defined by the product of kinetic energy of the rainfall and its maximum intensity on 30 minutes), and KE>25 (defined as the kinetic energy of the rain just to rainfall intensity higher than 25 mm h-1) were calculated using rain charts for 36 stations, while for the remaining 57 locations, this indices where estimated using standard regression procedures with rain gauges data. Therefore, the total number of points for the entire state was 93. The experimental semivariograms calculated for both indices were exponential. Using the model fitted to the experimental semivariograms it was possible to interpolate values for the locations where they were not known using kriging, which has advantages among other methods. Moreover, kriging variance maps were also generated. The largest values found for the rainfall erosivity indices were located at the Sierra regions and at Ilha Grande Bay, while the smallest values occurred at the Northern and Northwestern Regions of the state. The largest kriging variance values occurred at the Coastal and Northern Regions, where the data density is the smallest

Topography and spatial variability of soil physical properties Topografia e variabilidade espacial de propriedades físicas do solo

Among the soil formation factors, relief is one of the most used in soil mapping, because of its strong correlation with the spatial variability of soil attributes over a landscape. In this study the relationship between topography and the spatial variability of some soil physical properties was evaluated. The study site, a pasture with 2.84 ha, is located near Seropédica, Rio de Janeiro State, Brazil, where a regular square grid with 20 m spacing was laid out and georreferenced. In each sampling point, altitude was measured and undisturbed soil samples were collected, at 0.0-0.1, 0.1-0.2, and 0.2-0.3 m depths. Organic carbon content, soil texture, bulk density, particle density, and soil water retention at 10 (Field Capacity), 80 (limit of tensiometer reading) and 1500 kPa (Permanent Wilting Point) were determined. Descriptive statistics was used to evaluate central tendency and dispersion parameters of the data. Semivariograms and cross semivariograms were calculated to evaluate the spatial variability of elevation and soil physical attributes, as well as, the relation between elevation and soil physical attributes. Except for silt fraction content (at the three depths), bulk density (at 0.2-0.3 m) and particle density (at 0.0-0.1 m depth), all soil attributes showed a strong spatial dependence. Areas with higher elevation presented higher values of clay content, as well as soil water retention at 10, 80 and 1500 kPa. The correlation between altitude and soil physical attributes decreased as soil depth increased. The cross semivariograms demonstrated the viability in using altitude as an auxiliary variable to improve the interpolation of sand and clay contents at the depth of 0.0-0.3 m, and of water retention at 10, 80 and 1500 kPa at the depth of 0.0-0.2 m.<br>O relevo é um dos fatores de formação do solo mais usados em mapeamento de solos devido sua forte correlação com a variabilidade espacial de atributos do solo na paisagem. O objetivo desse trabalho foi avaliar a relação entre topografia e a variabilidade espacial de algumas propriedades físicas de solos. Em uma pastagem com 2,84 ha instalou-se uma grade regular com espaçamento de 20 m, nas proximidades de Seropédica, RJ, onde cada ponto de amostragem foi georreferenciado. Em cada ponto de amostragem foi medida a altitude e foram coletadas amostras indeformadas nas profundidades de 0,0-0,1; 0,1-0,2 e 0,2-0,3 m. Determinaram-se os teores de carbono, textura, densidade do solo e das partículas e retenção de água a 10, 80 e 1500 kPa. Estatística descritiva foi usada para avaliar a tendência central e a dispersão dos dados. Semivariogramas simples e cruzados foram usados para avaliar a variabilidade espacial da altitude, e dos atributos físicos do solo, bem como a relação entre altitude e atributos físicos do solo. Com exceção da fração silte (nas três profundidades), densidade do solo (0,2-0,3 m) e densidade das partículas (0,0-0,1 m), todos os atributos apresentaram forte dependência espacial. Encontraram-se maiores teores de argila, bem como de retenção de água a 10, 80 e 1500 kPa, nas cotas mais elevadas. A correlação entre altitude e atributos físicos decresceu com o aumento da profundidade. Os semivariogramas cruzados comprovaram a viabilidade do uso da altitude, por cokrigagem, para aperfeiçoar a interpolação de areia e argila na camada de 0.0-0.3 m, e de retenção de água a 10, 80 e 1500 kPa na camada de 0.0-0.2 m