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Selecciona los temas de tu interés y recibe en tu correo las publicaciones más actuales
Shailendra Sharma Avinash Kumar Apekshita Singh deepmala sehgal Shailendra Goel SoomNath Raina (2022, [Artículo])
Immune Evasion Mutation Analysis Novel Spike Mutations Reduced Neutralization SARS-CoV-2 CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA COVID-19 NEUTRALIZATION SPIKES
CAIXIA LAN Ravi Singh JULIO HUERTA_ESPINO Zaifeng Li Evans Lagudah sridhar bhavani (2022, [Artículo])
Genetic Analysis Molecular Mapping Wheat Rusts APR Genes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ADULT PLANT RESISTANCE LANDRACES WHEAT RUSTS
Md Abdul Matin (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SMALLHOLDERS ECONOMIC ANALYSIS
Review of Nationally Determined Contributions (NCD) of Kenya from the perspective of food systems
Tek Sapkota (2023, [Documento de trabajo])
Agriculture is one of the fundamental pillars of the 2022–2027 Bottom-up Economic Transformation Plan of the Government of Kenya for tackling complex domestic and global challenges. Kenya's food system is crucial for climate change mitigation and adaptation. Kenya has prioritized aspects of agriculture, food, and land use as critical sectors for reducing emissions towards achieving Vision 2030's transformation to a low-carbon, climate-resilient development pathway. Kenya's updated NDC, as well as supporting mitigation and adaptation technical analysis reports and other policy documents, has identified an ambitious set of agroecological transformative measures to promote climate-smart agriculture, regenerative approaches, and nature-positive solutions. Kenya is committed to implementing and updating its National Climate Change Action Plans (NCCAPs) to present and achieve the greenhouse gas (GHG) emission reduction targets and resilience outcomes that it has identified.
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE GREENHOUSE GAS EMISSIONS FOOD SYSTEMS LAND USE CHANGE AGRICULTURE POLICIES DATA ANALYSIS FOOD WASTES
Soil analysis and integrated nutrient management
Isaiah Nyagumbo (2021, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SOIL ANALYSIS NUTRIENT MANAGEMENT SOIL FERTILITY
David Israel Flores Granados (2014, [Artículo])
The automatic identification of catalytic residues still remains an important challenge in structural bioinformatics. Sequence-based methods are good alternatives when the query shares a high percentage of identity with a well-annotated enzyme. However, when the homology is not apparent, which occurs with many structures from the structural genome initiative, structural information should be exploited. A local structural comparison is preferred to a global structural comparison when predicting functional residues. CMASA is a recently proposed method for predicting catalytic residues based on a local structure comparison. The method achieves high accuracy and a high value for the Matthews correlation coefficient. However, point substitutions or a lack of relevant data strongly affect the performance of the method. In the present study, we propose a simple extension to the CMASA method to overcome this difficulty. Extensive computational experiments are shown as proof of concept instances, as well as for a few real cases. The results show that the extension performs well when the catalytic site contains mutated residues or when some residues are missing. The proposed modification could correctly predict the catalytic residues of a mutant thymidylate synthase, 1EVF. It also successfully predicted the catalytic residues for 3HRC despite the lack of information for a relevant side chain atom in the PDB file. © 2014 Flores et al.
1UU9 protein, 3HRC protein, protein, thymidylate synthase, unclassified drug, protein kinase, thymidylate synthase, accuracy, algorithm, Article, CMASA, CMASA Substitution Matrix, Contact Matrix Average Deviation, controlled study, correlation coeffi CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA MATEMÁTICAS ANÁLISIS NUMÉRICO ANÁLISIS NUMÉRICO
Suministro de agua potable en México: ni equidad ni eficiencia
JOSE LUIS MONTESILLO CEDILLO (2006, [Documento de trabajo])
Este artículo presenta un análisis económico de las tarifas de agua potable para uso doméstico en el ámbito estatal de México. Se aclara la diferencia existente entre los conceptos “servicio estratégico y de seguridad nacional” y “bien propiedad de la nación”. De igual manera, se plantean y estiman modelos econométricos con la finalidad de escrutar el grado de eficiencia de las tarifas del servicio de agua potable para uso doméstico, así como para ver, de manera nítida, el nivel de equidad de dicho servicio, en el entendido de que la eficiencia se refiere a lo que es y la equidad a lo que se desea. La principal conclusión, con base en información correspondiente al año 2000, es que las tarifas por el servicio bajo estudio no son equitativas ni eficientes. Finalmente, se hace una propuesta de tarifación.
Abastecimiento de agua Eficiencia Tarifas Análisis económico CIENCIAS SOCIALES
Análisis numérico del clima interior en un invernadero de tres naves con ventilación mecánica
JORGE FLORES VELAZQUEZ ENRIQUE MEJIA SAENZ ABRAHAM ROJANO AGUILAR (2011, [Artículo])
Uno de los principales problemas que enfrenta la agricultura en invernaderos, sobre todo en regiones de clima cálido, es moderar y controlar los problemas derivados del incremento de temperatura que ocurre en marcados periodos del año, ya que reducen la calidad y cantidad de la cosecha. Un método efectivo para el control del clima es la ventilación (natural o forzada) y aunque la ventilación forzada sea más predecible que la natural, su descripción es compleja y una simplificación obliga un mayor conocimiento del proceso. El objetivo de este trabajo fue validar y aplicar un modelo numérico basado en la dinámica de fluidos computacional (CFD) para el análisis climático de un invernadero cenital de tres naves sin cultivo y con ventilación forzada.
Invernaderos Análisis numérico Clima INGENIERÍA Y TECNOLOGÍA
Natural disasters and economic growth: a synthesis of empirical evidence
Fernando Antonio Ignacio González (2023, [Artículo, Artículo])
Natural disasters pose a serious threat globally and, in the future, their frequency and severity are expected to increase due to climate change. Empirical evidence has reported conflicting results in terms of the impact of disasters on economic growth. In this context, the present work seeks to synthesize the recent empirical evidence related to this topic. More than 650 estimates, from studies published in the last five years (2015-2020), are used. Meta-analysis and meta-regression techniques are employed. The review includes three sources (Scopus, Science Direct, and Google Scholar). The results identified the existence of a negative and significant combined effect (-0.015). Developing countries are especially vulnerable to disasters. The negative impact is greater for disasters that occurred in the last decade -in relation to previous disasters-. These findings constitute a call for attention in favor of mitigation and adaptation policies.
Disasters GDP meta-analysis meta-regression desastres crecimiento PIB meta-análisis meta-regresión CIENCIAS SOCIALES CIENCIAS SOCIALES
On-farm assessment of yield and quality traits in durum wheat
Facundo Tabbita Iván Ortíz-Monasterios Francisco Javier Pinera-Chavez Maria Itria Ibba Carlos Guzman (2023, [Artículo])
BACKGROUND: Durum wheat is key source of calories and nutrients for many regions of the world. Demand for it is predicted to increase. Further efforts are therefore needed to develop new cultivars adapted to different future scenarios. Developing a novel cultivar takes, on average, 10 years and advanced lines are tested during the process, in general, under standardized conditions. Although evaluating candidate genotypes for commercial release under different on-farm conditions is a strategy that is strongly recommended, its application for durum wheat and particularly for quality traits has been limited. This study evaluated the grain yield and quality performance of eight different genotypes across five contrasting farmers’ fields over two seasons. Combining different analysis strategies, the most outstanding and stable genotypes were identified. RESULTS: The analyses revealed that some traits were mainly explained by the genotype effect (thousand kernel weight, flour sodium dodecyl sulfate sedimentation volume, and flour yellowness), others by the management practices (yield and grain protein content), and others (test weight) by the year effect. In general, yield showed the highest range of variation across genotypes, management practices, and years and test weight the narrowest range. Flour yellowness was the most stable trait across management conditions, while yield-related traits were the most unstable. We also determined the most representative and discriminative field conditions, which is a beneficial strategy when breeders are constrained in their ability to develop multi-environment experiments. CONCLUSIONS: We concluded that assessing genotypes in different farming systems is a valid and complementary strategy for on-station trials for determining the performance of future commercial cultivars in heterogeneous environments to improve the breeding process and resources.
Wheat Quality GGE Analysis Flour Yellowness CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FLOURS WHEAT QUALITY YIELDS FIELD EXPERIMENTATION