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Diluted density. Urban planning in the Monterrey Metropolitan Area
Sheila Ferniza Quiroz Jesús Manuel Fitch Osuna (2021, [Artículo, Artículo])
The Monterrey Metropolitan Area (mma) in Northern Mexico has had an expansive and dispersed growth in recent decades. In 35 years, the city doubled its population and grew 8 times in territory (Secretariat for Sustainable Development, 2020). As a mitigation measure and with the objective of repopulating the areas within the city, urban regulations have been promoted that allow higher density and building potentials in some municipalities; however, the efforts are isolated and without metropolitan coordination. What are the urban regulation guidelines in the municipalities of the mma? How dense are its municipalities? Where are located the densest areas of the city? The objective of this research is to establish the current state of local regulation regarding urban development and to map the housing density to identify the locations with the lowest and highest density at the mma. The gross density at the Ageb scale is mapped for the 18 municipalities of the mma through the QGis software; data from the Inegi 2020 National Population and Housing Census is used. It is found that the peripheral municipalities of recent incorporation to the mma, unlike those of greater urbanization, lack urban development plans, and that most of the municipalities do not have updated regulations based on the current laws. The areas with the highest density are located in the peripheral municipalities, associated with the construction of low-income mass housing, and those with the lowest density in interior municipalities in areas of higher socioeconomic status, diluting the small efforts of densification in the city.
density urban sprawl urban planning densidad expansión urbana planeación urbana HUMANIDADES Y CIENCIAS DE LA CONDUCTA HUMANIDADES Y CIENCIAS DE LA CONDUCTA
Roberto Fritsche-Neto Marlee Labroo (2024, [Artículo])
Genomic Prediction Reciprocal Recurrent Selection Heterotic Pools CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA STOCHASTIC MODELS RICE HYBRIDS GENETIC IMPROVEMENT GENETIC GAIN BREEDING PROGRAMMES
XUECAI ZHANG Yong Zhang (2022, [Artículo])
Fusarium Head Blight Resistance Fusarium verticillioides QTL Mapping Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FUSARIUM QUANTITATIVE TRAIT LOCI MAPPING TRITICUM AESTIVUM
Exploring GWAS and genomic prediction to improve Septoria tritici blotch resistance in wheat
Admas Alemu Abebe Pawan Singh Aakash Chawade (2023, [Artículo])
Septoria Tritici Blotch Wheat Breeding Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOME-WIDE ASSOCIATION STUDIES MYCOSPHAERELLA GRAMINICOLA DISEASE RESISTANCE WHEAT PLANT GROWTH
Nick Fradgley Alison Bentley Keith Gardner Stéphanie M. Swarbreck (2023, [Artículo])
Sustainable Food Systems Genomic Prediction Genome-Wide Association Analysis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT BREEDING MARKER-ASSISTED SELECTION VARIETIES FOOD SYSTEMS QUALITY
XUECAI ZHANG Ao Zhang (2023, [Artículo])
Genome-Wide Association Study Genomic Prediction Ear Height Tassel Branch Number Waxy Corn CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOMICS PLANT HEIGHT SWEET CORN WAXY MAIZE
Junjie Fu XUECAI ZHANG (2023, [Artículo])
Genomic Prediction Prediction Model Genetic Effects Hybrid Performance CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE GENETICS HYBRIDS PERFORMANCE ASSESSMENT
Efficacy of plant breeding using genomic information
Osval Antonio Montesinos-Lopez Alison Bentley Carolina Saint Pierre Leonardo Abdiel Crespo Herrera Morten Lillemo Jose Crossa (2023, [Artículo])
Genomic Selection Genomic Prediction Genomic Best Linear Unbiased Predictor CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA PLANT BREEDING GENOMICS MARKER-ASSISTED SELECTION ENVIRONMENT
Results from rapid-cycle recurrent genomic selection in spring bread wheat
Susanne Dreisigacker Paulino Pérez-Rodríguez Leonardo Abdiel Crespo Herrera Alison Bentley Jose Crossa (2023, [Artículo])
Genomic-Assisted Breeding Molecular Markers Pedigree Information Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENOMICS GENETIC MARKERS WHEAT BREEDING PROGRAMMES
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