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

Modeling spatiotemporal patterns of land use/land cover change in Central Malawi using a neural network model

Leah Mungai Joseph Messina Leo Zulu Jiaguo Qi Sieglinde Snapp (2022, [Artículo])

Multilayer Perceptrons CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURE LAND USE POPULATION SATELLITE IMAGERY TEXTURE LAND COVER NEURAL NETWORKS REMOTE SENSING

Phenotyping with satellites

Urs Schulthess Gerald Blasch Francisco Pinto Mainassara Zaman-Allah (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SATELLITE OBSERVATION PHENOTYPING SATELLITE IMAGERY MONITORING

High-throughput plot-level quantitative phenotyping using convolutional neural networks on very high-resolution satellite images

Francisco Pinto Matthew Paul Reynolds Robert Furbank (2024, [Artículo])

Deep Learning Object-Based Image Analysis Optical Imagery CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRICULTURE IMAGE ANALYSIS PLANT BREEDING REMOTE SENSING MACHINE LEARNING

Emotions and social representations of distance education in university students from Chihuahua during the Covid-19 pandemic

Alejandro Mendoza Abraham Sifuentes (2024, [Artículo, Artículo])

This article analyzes the social representations that university students developed during the period of confinement due to the COVID-19 pandemic, particularly regarding their decision to continue their studies despite the challenges posed by the closure of educational institutions. The study is based on the situation in the northwest region of Chihuahua, encompassing at least 10 municipalities. This study utilized a mixed descriptive research approach, involving a survey comprising 69 items. The survey was conducted in the spring of 2021 among 313 students from five different academic programs within the Multidisciplinary Division of the UACJ in Nuevo Casas Grandes. Findings revealed that students, during the pandemic, had negative experiences with long distance education, primarily due to issues such as emotional management, time management skills, and poor technological access. These challenges resulted in negative emotions, although students did not perceive a decline in academic performance or disruptions in interactions with teachers or peers.

educación superior confinamiento representaciones sociales experiencias HUMANIDADES Y CIENCIAS DE LA CONDUCTA HUMANIDADES Y CIENCIAS DE LA CONDUCTA higher education confinement social representations experiences

Diseño y activismo artístico

Olivia Fragoso-Susunaga (2023, [Capítulo de libro])

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

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

Genome-wide association analyses of agronomic traits and Striga hermonthica resistance in pearl millet

Hussein Shimelis Chris Ojiewo Abhishek Rathore (2023, [Artículo])

Pearl millet (Pennisetum glaucum [L.] R. Br.) is a nutrient-dense, relatively drought-tolerant cereal crop cultivated in dry regions worldwide. The crop is under-researched, and its grain yield is low (< 0.8 tons ha−1) and stagnant in the major production regions, including Burkina Faso. The low productivity of pearl millet is mainly attributable to a lack of improved varieties, Striga hermonthica [Sh] infestation, downy mildew infection, and recurrent heat and drought stress. Developing high-yielding and Striga-resistant pearl millet varieties that satisfy the farmers’ and market needs requires the identification of yield-promoting genes linked to economic traits to facilitate marker-assisted selection and gene pyramiding. The objective of this study was to undertake genome-wide association analyses of agronomic traits and Sh resistance among 150 pearl millet genotypes to identify genetic markers for marker-assisted breeding and trait introgression. The pearl millet genotypes were phenotyped in Sh hotspot fields and screen house conditions. Twenty-nine million single nucleotide polymorphisms (SNPs) initially generated from 345 pearl millet genotypes were filtered, and 256 K SNPs were selected and used in the present study. Phenotypic data were collected on days to flowering, plant height, number of tillers, panicle length, panicle weight, thousand-grain weight, grain weight, number of emerged Striga and area under the Striga number progress curve (ASNPC). Agronomic and Sh parameters were subjected to combined analysis of variance, while genome-wide association analysis was performed on phenotypic and SNPs data. Significant differences (P < 0.001) were detected among the assessed pearl millet genotypes for Sh parameters and agronomic traits. Further, there were significant genotype by Sh interaction for the number of Sh and ASNPC. Twenty-eight SNPs were significantly associated with a low number of emerged Sh located on chromosomes 1, 2, 3, 4, 6, and 7. Four SNPs were associated with days-to-50%-flowering on chromosomes 3, 5, 6, and 7, while five were associated with panicle length on chromosomes 2, 3, and 4. Seven SNPs were linked to thousand-grain weight on chromosomes 2, 3, and 6. The putative SNP markers associated with a low number of emerged Sh and agronomic traits in the assessed genotypes are valuable genomic resources for accelerated breeding and variety deployment of pearl millet with Sh resistance and farmer- and market-preferred agronomic traits.

High-Yielding Varieties Striga-Resistant Agronomic Parameters CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOME-WIDE ASSOCIATION STUDIES STRIGA HERMONTHICA PEARL MILLET

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)