Generalized Neophobia: concept, theoretical model and measurement

Arturo Barraza Macías (2023, [Artículo, Artículo])

Objective: To build and validate the generalized neophobia scale and establish its prevalence and sociodemographic profile of the participants. Method: an instrumental and correlational study was carried out by applying the generalized neophobia scale to 517 people. Results: the scale has a reliability level that ranges between .79 and .88, the exploratory factor analysis reports a single factor that explains 69.29% of the total variance and the confirmatory factor analysis reports a perfect fit model; the prevalence in the surveyed population was 13.5% and it is women and younger people who report a higher level of neophobia. Conclusions: the theoretical-conceptual contributions of this research can be assessed as consistent and its empirical contribution can be considered as indicative since its main limitation is the selection of the sample determined by accessibility and availability.

fobia específica miedo situación novedosa emoción HUMANIDADES Y CIENCIAS DE LA CONDUCTA HUMANIDADES Y CIENCIAS DE LA CONDUCTA specific phobia afraid novel situation

A comprehensive account of SARS-CoV-2 genome structure, incurred mutations, lineages and COVID-19 vaccination program

Shailendra Sharma deepmala sehgal Apekshita Singh Shailendra Goel SoomNath Raina (2022, [Artículo])

Corona Viruses Genome Structure Novel Mutations Resistance to Vaccines SARS-CoV-2 CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA COVID-19 ANTIBODY FORMATION LIFE CYCLE VACCINATION VACCINES LINEAGE

Necessity as a driver in bending agricultural gender norms in the Eastern Gangetic Plains of South Asia

Pragya Timsina Emma Karki Brendan Brown (2023, [Artículo])

The majority of the farmers in the rural Global South continue to depend directly or indirectly on agriculture for their livelihoods. Despite the fact that women account for almost half of the world's farmers, they face gender-specific challenges such as deeply rooted cultural and social norms that limit their access to land, assets, financial markets, agricultural training, and information. Using semi-structured interviews with farmers in the Eastern Gangetic Plains, this study investigates how necessity is becoming one of the major drivers in the bending of agricultural gender norms. The study investigates the connections between feminist political ecology and agricultural technology production frameworks in order to comprehend the implications of technology adoption and influences on gender norms in communities. Women's participation in agriculture was found to be heavily influenced by social and cultural barriers, and they were frequently subjected to social criticism for breaking the systemic gender norms. This paper emphasizes on the growing pattern of bending gender norms with recommendations for increasing women's participation and scope in future agriculture development initiatives through policies and interventions that emphasize gender equity.

Social Barriers Cultural Barriers Feminist Political Ecology CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENDER NORMS WOMEN FARMERS AGRICULTURE TECHNOLOGY

Unanswered questions and unquestioned answers: the challenges of crop residue retention and weed control in Conservation Agriculture systems of southern Africa

Christian Thierfelder Blessing Mhlanga Hambulo Ngoma Paswel Marenya Md Abdul Matin Adane Tufa (2024, [Artículo])

Production and utilization of crop residues as mulch and effective weed management are two central elements in the successful implementation of Conservation Agriculture (CA) systems in southern Africa. Yet, the challenges of crop residue availability for mulch or the difficulties in managing weed proliferation in CA systems are bigger than a micro-level focus on weeds and crop residues themselves. The bottlenecks are symptoms of broader systemic complications that cannot be resolved without appreciating the interactions between the current scientific understanding of CA and its application in smallholder systems, private incentives, social norms, institutions, and government policy. In this paper, we elucidate a series of areas that represent some unquestioned answers about chemical weed control and unanswered questions about how to maintain groundcover demanding more research along the natural and social sciences continuum. In some communities, traditional rules that allow free-range grazing of livestock after harvesting present a barrier in surface crop residue management. On the other hand, many of the communities either burn, remove, or incorporate the residues into the soil thus hindering the near-permanent soil cover required in CA systems. The lack of soil cover also means that weed management through soil mulch is unachievable. Herbicides are often a successful stopgap solution to weed control, but they are costly, and most farmers do not use them as recommended, which reduces efficacy. Besides, the use of herbicides can cause environmental hazards and may affect human health. Here, we suggest further assessment of the manipulation of crop competition, the use of vigorously growing cover crops, exploration of allelopathy, and use of microorganisms in managing weeds and reducing seed production to deplete the soil weed seed bank. We also suggest in situ production of plant biomass, use of unpalatable species for mulch generation and change of grazing by-laws towards a holistic management of pastures to reduce the competition for crop residues. However, these depend on the socio-economic status dynamics at farmer and community level.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA INTEGRATED CROP-LIVESTOCK SYSTEMS CROP RESIDUES ZERO TILLAGE SOCIAL NORMS SUSTAINABLE INTENSIFICATION WEED CONTROL

Como las redes sociales contribuyen al conocimiento de la sistemática de plantas

RODRIGO STEFANO DUNO GERMAN CARNEVALI FERNANDEZ CONCHA (2022, [Artículo])

La ciencia y la sistemática, en particular, se han beneficiado enormemente de la tecnología. Pregúntele a cualquier amante de la naturaleza y de la fotografía, el cambio que significó la llegada de las cámaras digitales en sustitución de las cámaras convencionales. Hoy deseamos destacar otra novedad tecnológica, no menos tangible, y de enorme repercusión mundial; las redes sociales. En este breve texto presentaremos casos concretos de cómo las redes sociales pueden ser una herramienta fundamental para incrementar el conocimiento de la diversidad biológica.

APOCYNACEAE DROSERACEAE FACEBOOK NATURALISTA NOVEDADES TAXONOMICAS REDES SOCIALES BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL

Publisher Correction: Gut microbiota mediate caffeine detoxification in the primary insect pest of coffee (Nature Communications, (2015), 6, 1, (7618), 10.1038/ncomms8618)

Javier A. Ceja-Navarro Fernando E. Vega Ulas Karaoz Zhao Hao Petr Kosina Francisco Infante Trent Northen Eoin Brodie (2023, [Artículo])

Antibiotic Frass Non Antibiotic CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MICROBIAL FLORA PEST INSECTS HYPOTHENEMUS HAMPEI CAFFEINE

La historia detrás de Gonolobus caamali (Apocynaceae), endémica de la península de Yucatán

GERMAN CARNEVALI FERNANDEZ CONCHA GUSTAVO ADOLFO ROMERO GONZALEZ José Luis Tapia Muñoz Ivón Mercedes Ramírez Morillo CLAUDIA JANETH RAMIREZ DIAZ William Rolando Cetzal Ix RODRIGO STEFANO DUNO KATYA JEANNETH ROMERO SOLER (2022, [Artículo])

Publicar una especie nueva para la ciencia es siempre una tarea interesante y retadora, sobre todo en los tiempos modernos, donde la comunidad de sistemáticos de plantas y las revistas científicas exigen investigaciones de biología comparada más completas, integrando diferentes fuentes de evidencia (morfológica y molecular), más allá de una simple descripción morfológica. Esta historia comenzó hace más de 15 años y terminó este año, cuando Gonolobus caamali Carnevali & R. Duno (Apocynaceae), fue descrita como una nueva especie para la ciencia. Presentamos aquí algunos detalles de esta especie.

ASCLEPIADOIDEAE EXTINCION MEXICO NOVEDAD TAXONOMICA YUCATAN BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) TAXONOMÍA VEGETAL TAXONOMÍA VEGETAL

A novel method for genomic-enabled prediction of cultivars in new environments

Osval Antonio Montesinos-Lopez Brandon Alejandro Mosqueda González Jose Crossa (2023, [Artículo])

Genomic Best Linear Unbiased Prediction Gains in Accuracy Genomic Prediction Novel Methods CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOTYPE ENVIRONMENT INTERACTION METHODS ENVIRONMENT

Multimodal deep learning methods enhance genomic prediction of wheat breeding

Carolina Rivera-Amado Francisco Pinto Francisco Javier Pinera-Chavez David González-Diéguez Matthew Paul Reynolds Paulino Pérez-Rodríguez Huihui Li Osval Antonio Montesinos-Lopez Jose Crossa (2023, [Artículo])

Conventional Methods Genomic Prediction Accuracy Deep Learning Novel Methods CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT BREEDING MACHINE LEARNING METHODS MARKER-ASSISTED SELECTION

Predicción de la evapotranspiración de referencia mediante redes neuronales artificiales

JUAN MANUEL GONZALEZ CAMACHO ROCIO CERVANTES-OSORNIO WALDO OJEDA BUSTAMANTE IRINEO LORENZO LOPEZ CRUZ (2008, [Artículo])

La evapotranspiración de referencia (ETo) es una variable climática esencial para el cálculo de los requerimientos hídricos de los cultivos. Su previsión a corto plazo es importante para programar la distribución de volúmenes de agua en las zonas de riego. En este trabajo se presenta la aplicación de un modelo de Red Neuronal Artificial (RNA) tipo feedforward backpropagation para predecir la ETo a partir de datos diarios de temperatura del aire, radiación solar, humedad relativa y velocidad del viento. La arquitectura adoptada del modelo de RNA contiene cuatro neuronas en la capa intermedia, una neurona en la capa de salida y funciones de activación tangente hiperbólica en ambas capas. Este modelo fue aplicado a un conjunto de datos climáticos con cinco años de observaciones de la red agroclimática “Valle del Fuerte” del distrito de riego 075, localizada en el norte de Sinaloa, México. El algoritmo de entrenamiento supervisado de Levenberg-Marquardt permitió obtener un buen desempeño de la red en términos del error cuadrático medio y del coeficiente de determinación R2 para estimar la ETo en los diferentes escenarios considerados. Las predicciones de las RNA fueron comparadas con las predicciones de modelos de regresión lineal múltiple y lineal por partes; los resultados muestran que ambos modelos presentan niveles de ajuste muy similares a los datos experimentales.

Evapotranspiración Requerimientos de riego Variables climáticas Distritos de riego Regresión no lineal Redes neuronales artificiales CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA