Repositorio Nacional

En el 2015, las Naciones Unidas proponen una serie de objetivos dirigidos a convocar a los habitantes del mundo a realizar acciones orientadas a acabar con la pobreza, mejorar las condiciones del planeta y lograr que, para el 2030, todas las personas puedan gozar de paz y bienestar. A estos objetivos se les conoce como los Objetivos de Desarrollo Sostenible (ODS). La educación superior juega un papel fundamental en el logro de los ODS. La UAM y, en el caso que nos compete, el CyAD están llamados a colaborar en esta tarea que nos involucra a todos y todas quienes formamos la comunidad universitaria. Este trabajo es una reflexión sobre la importancia que tiene la formación en activismo artístico en la educación del diseño para el logro de los ODS. Se propone que enfatizar el vínculo entre el diseño y el activismo artístico es parte de un escenario futuro indiscutiblemente necesario en el currículo de licenciatura en el CyAD.

In 2015, the United Nations proposed a series of goals aimed at calling on the world’s inhabitants to take action to end poverty, improve the conditions of the planet and ensure that by 2030 all people can enjoy peace and well-being. These goals are known as the Sustainable Development Goals (SDGs). Higher education plays a fundamental role in the achievement of the SDGs, the UAM and, in the case that concerns us, the CyAD are called to collaborate in this task that involves all of us who form the university community. This work is a reflection on the importance of training in artistic activism in design education for the achievement of the SDGs. It is proposed that emphasizing the link between design and art activism is part of an indisputably necessary future scenario in the undergraduate curriculum at CyAD.

Activismo artístico, educación del diseño, cultura. Artistic activism, design education, culture. Sustainable Development Goals. Art and social action. Education, Higher--Social aspects. Educational change. Artists--Political activity. Universidad Autónoma Metropolitana. Unidad Azcapotzalco. División de Ciencias y Artes para el Diseño. Desarrollo sustentable. Participación social. Cambio educativo. NX180.P64 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS

Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics

Xu Wang Sandesh Kumar Shrestha Philomin Juliana Suchismita Mondal Francisco Pinto Govindan Velu Leonardo Abdiel Crespo Herrera JULIO HUERTA_ESPINO Ravi Singh Jesse Poland (2023, [Artículo])

New Crop Varieties Plant Breeding Programs Yield Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LEARNING GRAIN YIELDS WHEAT BREEDING FOOD SECURITY

Editorial: Genome wide association studies and genomic selection for crop improvement in the era of Big Data

Alison Bentley Charles Chen Nunzio D'Agostino (2022, [Artículo])

Allele Mining High-Throughput Phenotyping Genomic Estimated Breeding Value CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROP IMPROVEMENT DNA CHROMOSOME MAPPING GENETIC LINKAGE GENOMES GENOTYPING GERMINATION HEAT STRESS QUALITY CONTROL SINGLE NUCLEOTIDE POLYMORPHISM TRITICUM AESTIVUM GENETIC DIVERSITY (AS RESOURCE) HIGH-THROUGHPUT SEQUENCING

The potential of UAV and very high-resolution satellite imagery for yellow and stem rust detection and phenotyping in Ethiopia

Gerald Blasch David Hodson Francelino Rodrigues (2023, [Artículo])

Very high (spatial and temporal) resolution satellite (VHRS) and high-resolution unmanned aerial vehicle (UAV) imagery provides the opportunity to develop new crop disease detection methods at early growth stages with utility for early warning systems. The capability of multispectral UAV, SkySat and Pleiades imagery as a high throughput phenotyping (HTP) and rapid disease detection tool for wheat rusts is assessed. In a randomized trial with and without fungicide control, six bread wheat varieties with differing rust resistance were monitored using UAV and VHRS. In total, 18 spectral features served as predictors for stem and yellow rust disease progression and associated yield loss. Several spectral features demonstrated strong predictive power for the detection of combined wheat rust diseases and the estimation of varieties’ response to disease stress and grain yield. Visible spectral (VIS) bands (Green, Red) were more useful at booting, shifting to VIS–NIR (near-infrared) vegetation indices (e.g., NDVI, RVI) at heading. The top-performing spectral features for disease progression and grain yield were the Red band and UAV-derived RVI and NDVI. Our findings provide valuable insight into the upscaling capability of multispectral sensors for disease detection, demonstrating the possibility of upscaling disease detection from plot to regional scales at early growth stages.

Very High Resolution Imagery Disease Detection Methods Early Growth Stages CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA UNMANNED AERIAL VEHICLES STEM RUST PHENOTYPING HIGH-THROUGHPUT PHENOTYPING WHEAT

Satellite imagery for high-throughput phenotyping in breeding plots

Francisco Pinto Mainassara Zaman-Allah Matthew Paul Reynolds Urs Schulthess (2023, [Artículo])

Optimized Soil Adjusted Vegetation Index CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HIGH-THROUGHPUT PHENOTYPING SATELLITES WHEAT MAIZE BREEDING NORMALIZED DIFFERENCE VEGETATION INDEX

Development of a next generation SNP genotyping array for wheat

Simon Griffiths Susanne Dreisigacker Alison Bentley Gina Brown-Guedira (2023, [Artículo])

Axiom Array High Throughput Genotyping Hexaploid Wheat Copy Number Variation Analysis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SINGLE NUCLEOTIDE POLYMORPHISMS WHEAT GENOTYPING GENETIC DIVERSITY (AS RESOURCE)

Multispectral-derived genotypic similarities from budget cameras allow grain yield prediction and genomic selection augmentation in single and multi-environment scenarios in spring wheat

Jose Crossa Osval Antonio Montesinos-Lopez Morten Lillemo (2024, [Artículo])

Multispectral Imaging Grain Yield Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GRAIN YIELDS HIGH-THROUGHPUT PHENOTYPING SPRING WHEAT