Genomic selection: A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops

UTTAM KUMAR Rajeev Ranjan Kumar Philomin Juliana Sundeep Kumar (2022, [Artículo])

Genomic Selection Single-Trait Genomic Selection Multi-Trait Genomic Selection Genomic Estimated Breeding Value Climate-Resilient Crops CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MARKER-ASSISTED SELECTION CLIMATE CHANGE STRESS CLIMATE RESILIENCE CROPS ABIOTIC STRESS BIOTIC STRESS

Gender, rainfall endowment, and farmers’ heterogeneity in wheat trait preferences in Ethiopia

Hom Nath Gartaula Moti Jaleta (2024, [Artículo])

Wheat is a vital cereal crop for smallholders in Ethiopia. Despite over fifty years of research on wheat varietal development, consideration of gendered trait preferences in developing target product profiles for wheat breeding is limited. To address this gap, our study used sex-disaggregated survey data and historical rainfall trends from the major wheat-growing regions in Ethiopia. The findings indicated heterogeneity in trait preferences based on gender and rainfall endowment. Men respondents tended to prefer wheat traits with high straw yield and disease-resistance potential, while women showed a greater appreciation for wheat traits related to good taste and cooking quality. Farmers in high rainfall areas seemed to prioritize high straw yield and disease resistance traits, while those in low rainfall areas valued good adaptation traits more highly. Most of the correlation coefficients among the preferred traits were positive, indicating that farmers seek wheat varieties with traits that serve multiple purposes. Understanding men's and women's preferences and incorporating them in breeding and seed systems could contribute to the development of more targeted and effective wheat varieties that meet the diverse needs of men and women farmers in Ethiopia.

Trait Preferences Multivariate Probit Model CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT AGRONOMIC CHARACTERS GENDER RAINFALL PROBIT ANALYSIS

Genome-wide association study of common resistance to rust species in tetraploid wheat

Daniela Marone Anna Maria Mastrangelo Karim Ammar Filippo Maria Bassi Meinan Wang Xianming Chen Diego Rubiales Oadi Matny Brian Steffenson (2024, [Artículo])

Wheat Rusts Tetraploid Wheat Multi-Location Trials CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA QUANTITATIVE TRAIT LOCI TETRAPLOIDY WHEAT RUSTS GENOME-WIDE ASSOCIATION STUDIES

Análisis a escala atómica de interfases magnéticas con aplicaciones en espintrónica

Atomic scale analysis of magnetic interfases with spintronics applications

Rocio González Díaz (2023, [Tesis de maestría])

La espintrónica es un área de la nanociencia que tiene por cometido el estudio y manipulación del espín de los electrones para el desarrollo y mejoramiento de dispositivos electrónicos. De manera particular, se ha orientado a la búsqueda de materiales para la fabricación de memorias magnéticas de acceso aleatorio (MRAM), diseñadas a partir de uniones túnel magnéticas (MTJ). Dichas uniones son heteroestructuras construidas a partir de un material aislante en cuya capa superior e inferior se dispone un compuesto ferromagnético. Una de las características de estos dispositivos es que presentan una anisotropía magnética perpendicular (PMA) y un efecto de torque por transferencia de espín (STT). Recientemente, un estudio experimental señala que la heteroestructura B2-CoAl/L10-MnAl es un candidato idóneo para la fabricación de MRAM, pues presenta PMA y STT. Sin embargo, en el trabajo experimental no se reporta un análisis de la estabilidad termodinámica de la heteroestructura. Dicho lo anterior, en este trabajo se hizo un estudio de la estabilidad termodinámica y estructural de B2-CoAl/L10-MnAl usando la teoría del funcional de la densidad (DFT). Se propusieron diferentes modelos de interfaz CoAl/MnAl y se determinó a través de un análisis energético cuál es la interfaz más estable. Los resultados obtenidos indican que la interfaz más estable sucede entre la última capa de Al del CoAl y la primera capa de Mn del MnAl. Además, se comprobó un efecto PMA en la heteroestructura B2-CoAl/L10-MnAl y se determinó que este comportamiento se origina esencialmente debido a la naturaleza ferromagnética de MnAl, pues CoAl no presenta características ferromagnéticas.

Spintronics is nanoscience area whose aim is the study and manipulation of electrons spin to development and improvement of electronic devices. In a particular way, the spintronics has focused to search of new materials to fabrication of magnetic random-access memory (MRAM), which are designed from devices call magnetic tunnel junctions (MTJ). This devices are heterostructures built from an insulating material with a ferromagnetic compound on top and bottom layers and characterized by the perpendicular magnetic anisotropy and spin-transfer torque (STT) effects prensent on it. Recently, an experimental study indicates the B2-CoAl/L10-MnAl heterostructure is a suitable candidate for the fabrication of MRAM based on MTJ devices. Nevertheless, the thermodynamic stability of the heteroestructure is not reported in the experimental work. Therefore, in this work a study of the thermodynamic and structural stability of B2-CoAl/L10-MnAl was performed using density functional theory (DFT). Different CoAl/MnAl interface models were proposed and the most stable interface was determined by an energy analysis. The results obtained, indicate that the most stable interface occurs between the last Al layer of CoAl and the first Mn layer of MnAl. In addition, a PMA effect in the B2-CoAl/L10-MnAl heterostructure was demonstrated and it was determined that this behaviour is essentially due to the ferromagnetic nature of MnAl, since CoAl does not present ferromagnetic characteristics.

simulaciones computacionales, interfases magnéticas, estabilidad termodinámica computational simulation, magnetic interfaces, termodinamic stability INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE MATERIALES PROPIEDADES DE LOS MATERIALES PROPIEDADES DE LOS MATERIALES

Using Observed Residual Error Structure Yields the Best Estimates of Individual Growth Parameters

Marcelo Vidal Curiel Bernal EUGENIO ALBERTO ARAGON NORIEGA MIGUEL ANGEL CISNEROS MATA LAURA SANCHEZ VELASCO SYLVIA PATRICIA ADELHEID JIMENEZ ROSENBERG ALEJANDRO FRANCISCO PARES SIERRA (2021, [Artículo])

"Obtaining the best possible estimates of individual growth parameters is essential in studies of physiology, fisheries management, and conservation of natural resources since growth is a key component of population dynamics. In the present work, we use data of an endangered fish species to demonstrate the importance of selecting the right data error structure when fitting growth models in multimodel inference. The totoaba (Totoaba macdonaldi) is a fish species endemic to the Gulf of California increasingly studied in recent times due to a perceived threat of extinction. Previous works estimated individual growth using the von Bertalanffy model assuming a constant variance of length-at-age. Here, we reanalyze the same data under five different variance assumptions to fit the von Bertalanffy and Gompertz models. We found consistent significant differences between the constant and nonconstant error structure scenarios and provide an example of the consequences using the growth performance index _0 to show how using the wrong error structure can produce growth parameter values that can lead to biased conclusions. Based on these results, for totoaba and other related species, we recommend using the observed error structure to obtain the individual growth parameters."

multimodel inference, error structure, totoaba, growth performance BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA ANIMAL (ZOOLOGÍA) FISIOLOGÍA ANIMAL FISIOLOGÍA ANIMAL

Genotype by Environment Interaction (GEI) of maize varieties resistant to maize lethal necrosis for Mid Altutides of Rwanda

Claver Ngaboyisonga Suresh L.M. (2022, [Artículo])

Additive Main Effect and Multiplicative Interaction Area Under Disease Progress Curve Maize Lethal Necrosis Variety x Environment Interaction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE CHLOROTIC MOTTLE VIRUS RESISTANCE VARIETIES INOCULATION DISEASE MANAGEMENT SUGARCANE MOSAIC VIRUS

Interfaces hápticas para identificar marcadores digitales del Trastorno del Espectro Autista

Haptic interfaces to identify digital markers of Autism Spectrum Disorder

GLORIA IVONNE MONARCA PINTLE (2023, [Tesis de doctorado])

El uso de herramientas de cribado durante la infancia es de suma importancia para identificar a niños que pueden Trastorno del Espectro Autista (TEA); sin embargo, las pruebas que existen en la actualidad se basan en cuestionarios y observaciones contestadas por los padres por lo que el resultado puede ser subjetivo. Además, la mayoría de las pruebas de cribado se enfocan en el área social y de comunicación, dejando a un lado las características sensoriales, un área donde los padres notan las primeras señales de un desarrollo atípico. En los últimos años, ha crecido el interés por identificar marcadores digitales del TEA que puedan apoyar el cribado de dicho trastorno, usando tecnología que pueda ser usada en cualquier lugar y momento para agilizar el proceso de cribado. Hasta el momento, la investigación en torno a marcadores digitales del TEA relacionados con el procesamiento táctil, ha sido poco explorada debido a que la investigación se ha centrado en explorar otros comportamientos, como la atención visual, movimientos motores, y voz. El crecimiento de las interfaces hápticas abre la posibilidad de explorar el procesamiento táctil e identificar marcadores digitales del TEA. En esta tesis exploramos si las interfaces hápticas pueden ser usadas para promover y recolectar interacciones táctiles que revelen marcadores digitales del TEA. Para tener un mejor entendimiento de las interfaces hápticas, en este trabajo de tesis exploramos dos interfaces hápticas. Una interfaz háptica pasiva llamada BendableSound, la cual cuenta con una retroalimentación por textura y espacio; y una interfaz háptica activa llamada Feel and Touch, la cual es un juego móvil que utiliza patrones vibrotactiles para retroalimentar las interacciones de los niños. Los resultados muestran que las interfaces hápticas tienen la capacidad recolectar interacciones táctiles y revelar marcadores digitales que pueden estar asociados al TEA. En el caso pasivo, participaron 37 niños neurotípicos (NT) y 22 niños con TEA quienes interactuar con BendableSound; los resultados muestran que existen diferencias entre los niños NT y TEA en cuanto al ancho de las interacciones táctiles, la fuerza que aplican y el tiempo que utilizan para realizar interacciones táctiles. En el caso activo, participaron 36 niños NT y 19 niños con TEA quienes interactuaron con Feel and Touch; los resultados muestran que existen diferencias entre los niños NT y TEA en cuanto a la ...

The use of screening tools during infancy is crucial to identify children who are likely to have Autism Spectrum Disorder (ASD); however, the current screening tests are based on questionnaires and observations that parents answer bases on their observations; however, the results might be subjective. In addition, most screening tests focus on the assessment of social and communication skills, disregard sensory skills, an area where parents often notice the first signals of ASD. In recent years, there has been growing interest in identifying digital markers of ASD that can support screening, particularly those that that can be used at any time and any place to speed up the screening process. So far, research on digital markers of ASD related to tactile processing has been little explored due to the lack of tools to assess it. The growth of haptic interfaces opens the possibility to explore tactile processing and identify digital markers of ASD. In this thesis, we propose to investigate the use of haptic interfaces to promote and collect tactile interactions that can reveal digital markers of ASD. To have a better understanding of haptic interfaces, in this thesis work we explore two types of haptic interface. A passive haptic interface called BendableSound, which features texture and spatial feedback; and an active haptic interface called Feel and Touch, which is a mobile game that uses vibrotactile patterns to provide feedback on children’s interactions. The results show that haptic interfaces have the potential to collect touch interactions and reveal digital markers that may be associated with ASD. In the first case, 37 neurotypical (NT) children and 22 children with ASD participated and interacted with BendableSound; the results show that there are differences between NT and ASD children in the width of tactile interactions, the force they apply, and the time they use to perform tactile interactions. In the second case, 36 NT children and 19 children with ASD participated and interacted with Feel and Touch; the results show that there are differences between NT and ASD children in terms of the tilt they produce on the mobile when performing tactile interactions, the total acceleration they produce, and the closeness to the center of the screen of their tactile interactions. The results of this thesis indicate that haptic interfaces have the ability to gather touch interactions and uncover digital markers associated with ASD. The findings of this ...

autismo, cribado, marcadores digitales, interfaces hápticas, aprendizaje automático autism, screnning, digital markers, haptic interfaces, machine learning INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES ORDENADORES DIGITALES ORDENADORES DIGITALES

Response of African sorghum genotypes for drought tolerance under variable environments

Hussein Shimelis Baloua Nébié (2023, [Artículo])

Additive Main Effect and Multiplicative Interaction Best Linear Unbiased Estimates Drought Tolerance Indices CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ABIOTIC STRESS DROUGHT TOLERANCE SORGHUM GENOTYPES

Assessing the Spatiotemporal Relationship between Coastal Habitats and Fish Assemblages at Two Neotropical Estuaries of the Mexican Pacific

VICTOR MANUEL MURO TORRES FELIPE AMEZCUA MARTINEZ Gerogina Ramírez Ortiz FRANCISCO JAVIER FLORES DE SANTIAGO Felipe Amezcua Linares Yareli Hernández Álvarez (2022, [Artículo])

"Differences in fish assemblages’ structures and their relations with environmental variables (due to the variations in sampled seasons, habitats, and zones) were analyzed in two adjacent estuaries on the north Pacific coast of Mexico. Environmental variables and fish catches were registered monthly between August 2018 and October 2020. Multivariate analyses were conducted to define habitats and zones based on their environmental characteristics, and the effect of this variability on fish assemblages’ composition, biomass, and diversity (α and β) was evaluated. A total of 12,008 fish individuals of 143 species were collected using different fishing nets. Multivariate analyses indicated that fish assemblages’ structures were different between zones due to the presence, height, and coverage of distinct mangrove species. Additionally, depth and salinity showed effects on fish assemblages’ diversity (α and β-nestedness), which presented higher values in the ocean and remained similar in the rest of the analyzed zones and habitats. These results and the differences in species replacement (β-turnover) indicate the singularity of fish assemblages at estuaries (even in areas close to the ocean) and the necessity to establish local management strategies for these ecosystems."

mangrove forests, marine protected areas, alpha diversity, beta diversity, multivariate analyses CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS PECES Y FAUNA SILVESTRE DINÁMICA DE LAS POBLACIONES DINÁMICA DE LAS POBLACIONES

A Comparison of Multi-Label Text Classification Models in Research Articles Labeled With Sustainable Development Goals

Roberto Carlos Morales-Hernández Joaquín Gutiérrez Jaguey David Becerra-Alonso (2022, [Artículo])

"The classification of scientific articles aligned to Sustainable Development Goals is crucial for research institutions and universities when assessing their influence in these areas. Machine learning enables the implementation of massive text data classification tasks. The objective of this study is to apply Natural Language Processing techniques to articles from peer-reviewed journals to facilitate their classification according to the 17 Sustainable Development Goals of the 2030 Agenda. This article compares the performance of multi-label text classification models based on a proposed framework with datasets of different characteristics. The results show that the combination of Label Powerset (a transformation method) with Support Vector Machine (a classification algorithm) can achieve an accuracy of up to 87% for an imbalanced dataset, 83% for a dataset with the same number of instances per label, and even 91% for a multiclass dataset."

Classification algorithm, multi-label text classification, problem transformation method, scientific articles, sustainable development goals, text classification INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES LENGUAJES ALGORÍTMICOS LENGUAJES ALGORÍTMICOS