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Selecciona los temas de tu interés y recibe en tu correo las publicaciones más actuales
Yoseph Beyene (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE HYBRIDS PEST INSECTS RESEARCH
Overview of Ukama Ustawi scaling pathways
Evan Girvetz Christian Thierfelder Iddo Dror (2022, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RESILIENCE DIVERSIFICATION AGRICULTURE RESEARCH INTENSIFICATION SCALING UP
Visualising the pattern of long-term genotype performance by leveraging a genomic prediction model
Vivi Arief Ian Delacy Thomas Payne Kaye Basford (2022, [Artículo])
Factor Analytic Genotype-By-Year Historical Data Relationship Matrix CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOTYPES PLANT BREEDING SPRING WHEAT RESEARCH
Jelle Van Loon (2022, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA AGRIFOOD SYSTEMS INNOVATION SUSTAINABLE INTENSIFICATION TRAINING RESEARCH
Editorial: Model organisms in plant science: Maize
Manje Gowda (2023, [Artículo])
Model Organism Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE PLANT SCIENCES RESEARCH CROP IMPROVEMENT PLANT PHYSIOLOGY PLANT BREEDING
The Chemical Evolution of Narrow Emission Line Galaxies: the Key to their Formation Processes
JUAN PABLO TORRES PAPAQUI ROGER COZIOL RENE ALBERTO ORTEGA MINAKATA (2011, [Artículo])
Using the largest sample of narrow emission line galaxies available so far, we show that their spectral characteristics are correlated with different physical parameters, like the chemical abundances, the morphologies, the masses of the bulge and the mean stellar age of the stellar populations of the host galaxies. It suggests that the spectral variations observed in standard spectroscopic diagnostic diagrams are not due solely to variations of ionization parameters or structures but reflect also the chemical evolution of the galaxies, which in turn can be explained by different galaxy formation processes.
Utilizando la mayor muestra de galaxias con líneas de emisión angostas disponible hasta el momento, se muestra que sus características espectrales están correlacionadas con diferentes parámetros físicos, como las abundancias químicas, las morfologías, las masas del bulbo, y la edad estelar promedio de las poblaciones estelares de la galaxia anfitrio-na. Por lo tanto, se sugiere que las variaciones espectrales observadas en diagramas de diagnóstico estándares no se deben únicamente a las variaciones de los parámetros o las estructuras de ionización, sino que reflejan también la evolución química de las galaxias, relacionada con diferentes procesos de formación
CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA Galaxy Chemical Activity Formation Chemical evolution Galaxias Actividad química Formación Evolución química
Strong floristic distinctiveness across Neotropical successional forests
Catarina Jakovac Jorge Arturo Meave del Castillo Frans Bongers Susan Letcher JUAN MANUEL DUPUY RADA Daniel Piotto Danaë Rozendaal Marielos Peña-Claros Dylan Craven Braulio Santos Alexandre Siminski Alfredo Fantini Alice Cristina Rodrigues Alma Hernandez-Jaramillo Álvaro Idárraga-Piedrahita André Junqueira Angelica Almeyda Zambrano Bernardus de Jong Bruno X. Pinho Bryan Finegan Carolina Castellanos Castro Daisy Christiane Zambiazi Daisy Dent Daniel Hernán Garcia-Villalobos Deborah Kennard Diego Delgado Eben Broadbent Edgar Ortiz-Malavasi Eduardo A. Pérez-García Edwin Lebrija-Trejos Erika Berenguer Erika Marin-Spiotta Esteban Alvarez_Davila EVERARDO VALADARES DE SÁ SAMPAIO Felipe Melo Fernando Elias Filipe França Florian Oberleitner Francisco Mora Ardila G. Bruce Williamson Gabriel Colletta George Cabral Geraldine Derroire Geraldo Fernandes Hans van der Wal Heitor Mancini Teixeira Henricus F.M. Vester Hernando Garcia Ima Vieira Jaider Jiménez-Montoya Jarcilene Almeida Cortez Jefferson Hall Jerome Chave Jess Zimmerman Jhon Edison Nieto Vargas Joice Ferreira JORGE ENRIQUE RODRIGUEZ VELAZQUEZ Jorge Ruiz Jos Barlow Jose Aguilar Cano JOSE LUIS HERNANDEZ STEFANONI Julien Engel Justin Becknell Kátia Janaina Zanini Madelon Lohbeck Marcelo Tabarelli Marco Antonio Romero Romero Maria Uriarte Maria das Dores Magalhães Veloso Mário do Espírito Santo Masha van der Sande Michiel van Breugel Miguel Martínez-Ramos Naomi Schwartz Natalia Norden Nathalia Pérez-Cárdenas Noel Antonio González_Valdivia PASCAL PETRONELLI Patricia Balvanera Paulo Massoca Pedro Brancalion Pedro Manuel Villa Peter Hietz Rebecca Ostertag René López Camacho Ricardo Cesar Rita Mesquita Robin Chazdon Rodrigo Muñoz Saara DeWalt Sandra Müller Sandra M Duran Sebastião Martins Susana Ochoa-Gaona Susana Rodriguez-Buritica T. Mitchell Aide Tony Vizcarra Bentos Vanessa de Souza Moreno Laura Vanessa Granda William Thomas Whendee Silver YULE NUNES Lourens Poorter (2022, [Artículo])
Forests that regrow naturally on abandoned fields are important for restoring biodiversity and ecosystem services, but can they also preserve the distinct regional tree floras? Using the floristic composition of 1215 early successional forests (≤20 years) in 75 human-modified landscapes across the Neotropic realm, we identified 14 distinct floristic groups, with a between-group dissimilarity of 0.97. Floristic groups were associated with location, bioregions, soil pH, temperature seasonality, and water availability. Hence, there is large continental-scale variation in the species composition of early successional forests, which is mainly associated with biogeographic and environmental factors but not with human disturbance indicators. This floristic distinctiveness is partially driven by regionally restricted species belonging to widespread genera. Early secondary forests contribute therefore to restoring and conserving the distinctiveness of bioregions across the Neotropical realm, and forest restoration initiatives should use local species to assure that these distinct floras are maintained. Copyright © 2022 The Authors, some rights reserved.
CONSERVATION ECOSYSTEMS FORESTRY BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL
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
Establishment of heterotic groups for hybrid wheat breeding
Yunbi Xu (2022, [Artículo])
Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE CROPS FORECASTING PLANTS COMBINING ABILITY HETEROSIS HETEROTIC GROUPS MALE INFERTILITY PLANT HEIGHT WHEAT