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Using an incomplete block design to allocate lines to environments improves sparse genome-based prediction in plant breeding

Osval Antonio Montesinos-Lopez ABELARDO MONTESINOS LOPEZ RICARDO ACOSTA DIAZ Rajeev Varshney Jose Crossa ALISON BENTLEY (2022, [Artículo])

Genomic selection (GS) is a predictive methodology that trains statistical machine-learning models with a reference population that is used to perform genome-enabled predictions of new lines. In plant breeding, it has the potential to increase the speed and reduce the cost of selection. However, to optimize resources, sparse testing methods have been proposed. A common approach is to guarantee a proportion of nonoverlapping and overlapping lines allocated randomly in locations, that is, lines appearing in some locations but not in all. In this study we propose using incomplete block designs (IBD), principally, for the allocation of lines to locations in such a way that not all lines are observed in all locations. We compare this allocation with a random allocation of lines to locations guaranteeing that the lines are allocated to

the same number of locations as under the IBD design. We implemented this benchmarking on several crop data sets under the Bayesian genomic best linear unbiased predictor (GBLUP) model, finding that allocation under the principle of IBD outperformed random allocation by between 1.4% and 26.5% across locations, traits, and data sets in terms of mean square error. Although a wide range of performance improvements were observed, our results provide evidence that using IBD for the allocation of lines to locations can help improve predictive performance compared with random allocation. This has the potential to be applied to large-scale plant breeding programs.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA Bayes Theorem Genome Inflammatory Bowel Diseases Models, Genetic Plant Breeding

Síncrono / asíncrono. Convergencia y alternancia en la enseñanza futura del diseño

Francisco Gerardo Toledo Ramirez (2023, [Capítulo de libro])

La cuarentena sanitaria de los últimos dos años (COVID-19) obligó a “rediseñar”, “digitalizar” o “virtualizar” nuestros cursos y estilos de enseñanza en tiempo récord para “adaptarlas” al “formato virtual a distancia” (online). La profusión de comillas en las líneas anteriores tiene la intención de señalar el carácter incierto o erróneo que ciertos términos-fetiche adquirieron en el proceso. Es importante desmitificar esas figuras de la expresión que se elevaron casi al nivel de pseudo-epistemes (presuntamente novedosas) para la enseñanza del Diseño. Ese tema lo abordo con mayor amplitud en una nueva investigación, recientemente registrada en la UAM. En este texto esbozo (en forma algo lúdica) pero seria y breve a la vez, la conveniencia de tal desmitificación y avanzo en el delineamiento de un modelo de la alternancia y convergencia de recursos pedagógico-didácticos síncronos y asíncronos, mediante la tecnología-red digital, como un elemento estratégico para la educación futura en Diseño.

The health quarantine of the last 2 years (COVID-19) forced us to “redesign”, “digitize” or “virtualize” our courses and teaching styles in record time to “adapt” them to the “virtual format” “at a distance” (online). The profusion of quotation marks in the previous lines is intended to indicate the uncertain or erroneous character that certain fetish-terms acquired in the process. It is important to demystify those figures of expression that have risen almost to the level of pseudo-epistemes (presumably novel) for teaching design. I address this topic more fully in a new investigation, recently registered at the UAM. In this text I outline (in a somewhat playful way) but serious and brief at the same time, the convenience of such “demystification” and I advance in the outline of a model of alternation and convergence of synchronous and asynchronous pedagogical-didactic resources, through technology. -digital network, as a strategic element for future design education.

Síncrono, asíncrono, virtualidad, presencialidad, diseño, remoto. Synchronous, asynchronous, virtuality, face-to-face, design, remote. Design--Study and teaching, Higher. Distance education. Blended learning. Universidad Autónoma Metropolitana. Unidad Azcapotzalco. División de Ciencias y Artes para el Diseño. Artes gráficas. Educación a Distancia. Aprendizaje combinado. NK1170 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS

Educación del diseño en el futuro. Híbrida, sustentable y especializada

Rubén Sahagún Angulo (2023, [Capítulo de libro])

Las disciplinas del Diseño, como otras, sobre todo en escuelas de las grandes ciudades, deberán ofertar sus carreras a distancia para reducir significativamente los problemas asociados a la movilidad y la segregación socioespacial de sus estudiantes. También deberán revisar sus planes de estudio para verter los temas de la sustentabilidad de manera transversal. Finalmente, las especialidades serán una vía para que los profesionales del Diseño regresen a la Universidad a prepararse, en lugar de ofrecer únicamente maestrías y doctorados que, en su mayoría, son cursados por profesores o investigadores.

Design disciplines, like others, especially in schools in large cities, should offer their degrees online to significantly reduce the problems associated with mobility and socio-spatial segregation of their students. Also, they should review their study plans to cover sustainability issues in a transversal way. Finally, the specialties will be a way for design professionals to return to the University to prepare, instead of only offering master’s and doctoral degrees, which are mostly taken by professors or researchers.

Educación, diseño, híbrida, sustentable y especializada. Education, design, hybrid, sustainable and specialized. Design--Study and teaching, Higher. Sustainable design. Educational change. Distance education. Artes gráficas. Diseño sustentable. Cambio educativo. Educación a Distancia. NK1170 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS TEORÍA, ANÁLISIS Y CRÍTICA DE LAS BELLAS ARTES

Draft Genome Sequence of Pediococcus pentosaceus Strain PP16CC, Isolated from Oyster Crassostrea corteziensis

JULIO ANTONIO HERNANDEZ GONZALEZ RICARDO VAZQUEZ JUAREZ Jose Manuel Vazquez-Guillen Carlos Rangel Dávalos MARIA CRISTINA RODRIGUEZ PADILLA MAURILIA ROJAS CONTRERAS (2022, [Artículo])

"Pediococcus pentosaceus strain PP16CC comes from the intestine of Crassostrea corteziensis. A 1.82-Mbp draft genome of this strain was assembled using A5-miseq from illumina reads, resulting in 4 contigs and 1,856 predicted protein coding genes. Additionally, 23 proteins belonging to various glycosyl hydrolase families and 6 prophage regions were identified."

Genome Sequence, Pediococcus pentosaceus BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA ANIMAL (ZOOLOGÍA) GENÉTICA ANIMAL GENÉTICA ANIMAL