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  • × 农业科学(综合)
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Perspectivas em Ciencia da Informacao,2022年

Vilhena, Cláudia Maria Alves, Dias, Célia da Consolação

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This paper addresses theoretical issues surrounding the thematic information literacy aimed at museum professionals. The museum, it social function, museum professionals and information literacy are discussed. Its objective is to propose an information literacy model for museum professionals, based on the standards, performance indicators and desirable results proposed by Belluzzo (2007). The methodological procedures were built through a literature review, of a qualitative nature. The applicability was based on a closed questionnaire, in order to identify and recognize the information literacy of museum professionals. The research findings indicated that, for the application of information literacy models, they must be preceded by a survey (diagnosis) of the situation of each institution regarding the use of information, as well as the informational resources available. The conclusion highlighted that there is no single, closed and inflexible information literacy model to be developed in museums and in the workforce. On the contrary, the model must always meet the specific informational needs of each museum and its professionals.

    Perspectivas em Ciencia da Informacao,2022年

    Jiménez-Yañez, César

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    This paper analyzes the construction in the news of Frida Sofía, the non-existent girl who became the symbol of hope of the earthquake that hit Mexico City on September 19, 2017. The analysis focuses on the coverage carried out by Televisa’s news; the development of the journalistic work and the role of the media around the case. The investigation is based on the review of the documental, audiovisual and journalistic available material about this news. It concludes that the mass media structures the news agenda in order to modify postures and behaviors regarding the social agenda; in this case, they captured the attention of an entire country with the ghost of a girl and her rescue, building a media myth.

      Atmospheric Pollution Research,2022年

      Keyu Luo, Zhenyu Wang, Jiansheng Wu

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      Atmospheric pollution studies have linked diminished human activity during the COVID-19 pandemic to improve air quality. This study was conducted during January to March (2019–2021) in 332 cities in China to examine the association between population migration and air quality, and examined the role of three city attributes (pollution level, city scale, and lockdown status) in this effect. This study assessed six air pollutants , namely CO, NO 2 , O 3 , PM 10 , PM 2.5 , and SO 2 , and measured meteorological data, with-in city migration (WCM) index, and inter-city migration (ICM) index. A linear mixed-effects model with an autoregressive distributed lag model was fitted to estimate the effect of the percent change in migration on air pollution, adjusting for potential confounding factors. In summary, lower migration was associated with decreased air pollution (other than O 3 ). Pollution change in susceptibility is more likely to occur in NO 2 decrease and O 3 increase, but unsusceptibility is more likely to occur in CO and SO 2 , to city attributes from low migration. Cities that are less air polluted and population-dense may benefit more from decreasing PM 10 and PM 2.5 . The associations between population migration and air pollution were stronger in cities with stringent traffic restrictions than in cities with no lockdowns. Based on city attributes, an insignificant difference was observed between the effects of ICM and WCM on air pollution. Findings from this study may gain knowledge about the potential interaction between migration and city attributes, which may help decision-makers adopt air-quality policies with city-specific targets and paths to pursue similar air quality improvements for public health but at a much lower economic cost than lockdowns.

        Crop science,2022年

        Andrés Locatelli, Lucia Gutierrez, Valentin D. Picasso Risso

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        Intermediate wheatgrass [ Thinopyrum intermedium (Host) Barkworth and D.R. Dewey], bred for high grain yield, has become the first perennial grain in North America and is commercialized under the tradename Kernza. The expansion of this crop from the U.S. Midwest to areas with milder winters would require an understanding of its vernalization requirements for flowering and the availability of genetic diversity for this trait. The goal of this research was to determine the length of the cold period required for vernalization in Kernza intermediate wheatgrass. Two treatment factors (population and length of cold incubation period) were evaluated. Seeds from eight breeding populations from Kansas and Minnesota were evaluated in growth chambers at 5 °C and 10 h light for cold periods from 3 to 9 wk. The percentage of plants that flowered increased from 30 to 96% as the length of the cold incubation period increased from 3 to 7 wk following a sigmoid model. For most yield components, no changes were observed after 7 wk of cold incubation. There were no differences among populations for most traits and there was large within-population phenotypic diversity. These results confirm that Kernza intermediate wheatgrass populations have moderate vernalization requirements. Further research is needed to confirm the feasibility of breeding Kernza with lower vernalization requirements.

          Crop science,2022年

          Yoshifumi Terajima, Werapon Ponragdee, Taksina Sansayawichai, Amarawan Tippayawat, Sangdaun Chanachai, Masumi Ebina, Akira Sugimoto, Hiroko Takagi, Hisayoshi Hayashi

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          Erianthus species have potential as breeding materials for sugarcane and as a biomass crop for fiber production. However, limited information about their genetic variation in agronomic traits hinders their practical utilization. Thus, in this study, we evaluated genetic variation and genetic correlations among 11 agronomic traits in plants grown as multiple-ratoon crops (plant crop to the third ratoon crop) for 98 clones of E. arundinaceus and 32 clones of E. procerus collected across Thailand. Among the clones tested, large genetic variation was observed in the 4-yr average, range, and genetic coefficient of variation of dry matter yield for both E. arundinaceus (12.1, 2.2 to 30.6 kg stool −1 , and 41.7%, respectively) and E. procerus (8.0, 2.7 to 16.3 kg stool −1 , and 25.5%, respectively). Many clones provided better dry matter yield and lower yield reductions in ratoon crops than a sugarcane cultivar ( Saccharum spp. hybrid, 5.2 kg stool −1 ) and Napier grass ( Pennisetum purpureum , 6.6 kg stool −1 ). Genetic variation was observed for stalk number, stalk length, stalk diameter, single stalk weight, Brix, dry matter content, and proportions of both pith and stem parts in stalks, which are important traits in sugarcane breeding. The dry matter yield showed the highest genetic correlation with stalk number (.958 in E. arundinaceus and .700 in E. procerus ). Based on the results, clones with various combinations of advantageous traits were identified as promising genetic resources. These results provide important agronomic information that can be used to exploit this Erianthus germplasm for sugarcane improvement and fiber production in Thailand.

            Crop science,2022年

            Pratishtha Poudel, Nora M. Bello, David A. Marburger, Brett F. Carver, Ye Liang, Phillip D. Alderman

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            Yield components are widely recognized as drivers of wheat ( Triticum aestivum L.) yield across environments and genotypes. In this study, we used a hierarchical Bayesian approach to model wheat grain yield in Oklahoma on an eco-physiological basis using yield component traits thousand kernel weight (TKW) and nonyield biomass (NYB). The Bayesian approach allowed us to quantify uncertainties around the parameter values rather than obtaining a single value estimate for a parameter. The main objectives of this study were to (a) explain wheat yield as a function of component traits TKW and NYB, and thereby examine the implications for source-sink balance; and (b) assess their association with weather conditions during key stages of wheat development. A secondary objective was to introduce Bayesian estimation for eco-physiological modeling. Fifteen wheat genotypes planted in three locations in Oklahoma (Altus, Chickasha, and Lahoma) were evaluated across three harvest years (2017 to 2019), whereby the combination of location and year defined an environment. Results indicate that the environment explained a greater proportion of the variability in yield than genotypes or than genotype × environment (G × E) interaction; however, evidence for G × E was substantial. Yield was expected to increase with increasing TKW and NYB, which would suggest a source limitation to achieve potential yield. Yet, the contribution of early reproductive stage weather variables to the relationship between yield and NYB pointed in the direction of sink strength being compromised. In summary, our approach provides evidence for source-sink co-limitation in grain yield of this sample of hard red winter wheat genotypes.