Datación de sedimentos recientes utilizando isótopos radioactivos en el río Verde, en el estado de Oaxaca, México

Dating of recent sediments using radioactive isotopes in the Rio Verde, Oaxaca state, Mexico

José Alfredo González Verdugo EDITH ROSALBA SALCEDO SANCHEZ MARIA JOSELINA CLEMENCIA ESPINOZA AYALA MANUEL MARTINEZ MORALES (2013, [Artículo])

Con objeto de conocer la evolución de los procesos sedimentarios en la parte baja del río Verde, Oaxaca, se realizaron mediciones en dos núcleos de sedimentos. El fechado y determinación de la tasa de sedimentación, se realizó utilizando los isótopos radioactivos Plomo-210 y Cesio-137, que sirven como indicadores de períodos de deposición de los últimos 100 años. La velocidad de sedimentación en el Río Verde obtenida por medio del isótopo Pb -210 es 0.69 a 0.89 cm/año. Por otro lado, la velocidad de sedimentación en la zona de estudio mediante el isótopo Cs-137 es del orden de 0.61 cm/año y 0.87 cm/año. El método de Cesio-137 proporciona marcadores distintivos de eventos, mientras que el método de Plomo-210 proporciona pendientes de concentración, que al aplicarse de manera conjunta proporcionan una validación de ambos métodos. En este estudio, los dos métodos coinciden en los valores de sedimentación para la zona del Río Verde. Los resultados de este trabajo permiten conocer la dinámica de los procesos de transporte de sedimentos en la zona, información que resulta útil para la planeación de obras hidráulicas y estimación de los impactos ambientales, así como la implementación de las medidas de mitigación correspondientes.

Sedimentación Datación Isótopos radiactivos Marcadores Morfología de ríos CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA

International Winter Wheat nurseries data: Facultative and Winter Wheat Observation Nurseries and International Winter Wheat yield trials for semi-arid and irrigated conditions

Mesut KESER fatih ozdemir Pietro Bartolini (2022, [Artículo])

Germplasm Exchange International Nurseries Multi-Locations CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WINTER WHEAT BREEDING GERMPLASM YIELDS DATA

Disruptive approach to integrate data in a digital environment: progress report CIMMYT-Bluenumber 2023

Andrea Gardeazabal (2023, [Documento de trabajo])

This report describes the process carried out a pilot project to evaluate a scalable disruptive approach to integrating data for agronomy research that also incentivizes sustainable production and enables traceability using open data sharing protocol with self-sovereign identity (SSI).

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DIGITAL TECHNOLOGY DATA AGRICULTURAL RESEARCH

Product development for Eastern Africa: EA-PP1

&

EA-PP2

Berhanu Tadesse Ertiro Aparna Das Yoseph Beyene Dan Makumbi Manje Gowda Suresh L.M. Anani Bruce Walter Chivasa Vijay Chaikam Juan Burgueño Prasanna Boddupalli (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA PRODUCT DEVELOPMENT TESTING DATA MAIZE

Evaluation of multiple satellite precipitation products for rainfed maize production systems over Vietnam

Paresh Shirsath Dakshina Murthy Kadiyala (2022, [Artículo])

Rainfall Datasets Satellite Rainfall Estimates CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RAIN RAINFED FARMING DATA SATELLITES

Multi-trait, multi-environment deep learning modeling for genomic-enabled prediction of plant traits

Osval Antonio Montesinos-Lopez Jose Crossa Francisco Javier Martin Vallejo (2018, [Artículo])

Deep Learning Genomic Prediction Bayesian Modeling Shared Data Resources CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BAYESIAN THEORY RESOURCES DATA BREEDING PROGRAMMES

Alternative cropping and feeding options to enhance sustainability of mixed crop-livestock farms in Bangladesh

Timothy Joseph Krupnik Jeroen Groot (2024, [Artículo])

We investigated alternative cropping and feeding options for large (>10 cows), medium (5–10 cows) and small (≤4 cows) mixed crop – livestock farm types, to enhance economic and environmental performance in Jhenaidha and Meherpur districts – locations with increasing dairy production – in south western Bangladesh. Following focus group discussions with farmers on constraints and opportunities, we collected baseline data from one representative farm from each farm size class per district (six in total) to parameterize the whole-farm model FarmDESIGN. The six modelled farms were subjected to Pareto-based multi-objective (differential evolution algorithm) optimization to generate alternative dairy farm and fodder configurations. The objectives were to maximize farm profit, soil organic matter balance, and feed self-reliance, in addition to minimizing feed costs and soil nitrogen losses as indicators of sustainability. The cropped areas of the six baseline farms ranged from 0.6 to 4.0 ha and milk production per cow was between 1,640 and 3,560 kg year−1. Feed self-reliance was low (17%–57%) and soil N losses were high (74–342 kg ha−1 year−1). Subsequent trade-off analysis showed that increasing profit and soil organic matter balance was associated with higher risks of N losses. However, we found opportunities to improve economic and environmental performance simultaneously. Feed self-reliance could be increased by intensifying cropping and substituting fallow periods with appropriate fodder crops. For the farm type with the largest opportunity space and room to manoeuvre, we identified four strategies. Three strategies could be economically and environmentally benign, showing different opportunities for farm development with locally available resources.

Ruminant Feed Pareto-Based Optimization Farm Bioeconomic Model CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUMINANT FEEDING BIOECONOMIC MODELS MIXED CROPPING FARMS LIVESTOCK

Facile synthesis of a TiO2-Al2O3-GnPs compound and its application in the photocatalytic degradation of Diuron

Alina De J. Zurita Yduarte Diana J. Gallegos Hernández URIEL ALEJANDRO SIERRA GOMEZ GLADIS JUDITH LABRADA DELGADO SALVADOR FERNANDEZ TAVIZON Pedro Jesús Herrera Franco SRINIVAS GODAVARTHI JOSE GILBERTO TORRES TORRES ADRIAN CERVANTES URIBE CLAUDIA GUADALUPE ESPINOSA GONZALEZ (2022, [Artículo])

"New ternary materials TiO2-Al2O3-GnPs (TAG) were prepared by using an innocuous sol-gel method with a slight modification for the addition of graphene nanoplatelets (GnPs), under room temperature and atmospheric pressure. The materials TiO2-Al2O3-GnPs were prepared with variations of concentration between 0.05 and 1 wt % of GnPs. In this study, we analyzed the physicochemical properties by X-ray diffraction (XRD) and UV-Vis spectroscopy, textural properties by N2 physisorption, morphology by scanning and transmission electron microscopy (SEM, TEM) and a chemical species analysis was carried out by X-ray photoelectron spectroscopic (XPS). The photocatalytic activity of each material was evaluated in the degradation of a model molecule, Diuron, a carcinogenic and cytotoxic herbicide used in farm fields. To determine reaction selectivity and mineralization degree, the photocatalytic reaction was monitored by using UV-Vis spectroscopy and total organic carbon (TOC). In samples with higher GnPs’ concentration, a good enough specific surface area of up to 379 m2/g was observed, and reduced band gap energy (2.8 eV) with respect to TiO2 and mixed oxide (3.2 and 3.1 eV respectively), was obtained. These resulting properties were the key indicator so that the materials could be applied as photocatalysts. In the photocatalytic activity determination, TAG-0.75 was the sample that showed the best results with respect to the mixed oxide; the highest photocatalytic conversion, the reduced average life time, and increased mineralization and reaction selectivity."

Graphene nanoplatelets Mixed oxides Sol-gel Photocatalytic degradation BIOLOGÍA Y QUÍMICA QUÍMICA QUÍMICA

Multi-environment genomic prediction of plant traits using deep learners with dense architecture

Osval Antonio Montesinos-Lopez Jose Crossa (2018, [Artículo])

Shared Data Resources Deep Learning Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ACCURACY GENOMICS NEURAL NETWORKS FORECASTING DATA MARKER-ASSISTED SELECTION

A Flexible, Extensible, Machine-Readable, Human-Intelligible, and Ontology-Agnostic Metadata Schema (OIMS)

Gideon Kruseman (2022, [Artículo])

Reusability Java Script Object Notation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DATA MANAGEMENT INTEROPERABILITY METADATA SOCIOECONOMIC ASPECTS