Filtros
Filtrar por:
Tipo de publicación
- Artículo (80)
- Objeto de congreso (27)
- Documento de trabajo (10)
- Libro (6)
- Capítulo de libro (3)
Autores
- Jose Crossa (10)
- Alison Bentley (6)
- Berhanu Tadesse Ertiro (5)
- Francisco Pinto (5)
- Matthew Paul Reynolds (5)
Años de Publicación
Editores
- Instituto Mexicano de Tecnología del Agua (3)
- IMTA. Coordinación de Tratamiento y Calidad del Agua. Subcoordinación de Calidad del Agua (2)
- Antoni Margalida, University of Lleida, Spain (1)
- Asociación Latinoamericana para el Avance de las Ciencias (1)
- CICESE (1)
Repositorios Orígen
- Repositorio Institucional de Publicaciones Multimedia del CIMMYT (112)
- Repositorio institucional del IMTA (8)
- Repositorio Institucional CICESE (4)
- CIATEQ Digital (1)
- REPOSITORIO INSTITUCIONAL DEL CIESAS (1)
Tipos de Acceso
- oa:openAccess (130)
Idiomas
Materias
- CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA (116)
- BREEDING (31)
- MAIZE (27)
- WHEAT (23)
- BREEDING PROGRAMMES (14)
Selecciona los temas de tu interés y recibe en tu correo las publicaciones más actuales
Nurul Islam (1995, [Libro])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FOOD POLICIES FOOD PRODUCTION FOOD SUPPLY FORECASTING
Remote sensing of quality traits in cereal and arable production systems: A review
Zhenhai Li xiuliang jin Gerald Blasch James Taylor (2024, [Artículo])
Cereal is an essential source of calories and protein for the global population. Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers, grading harvest and categorised storage for enterprises, future trading prices, and policy planning. The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits. Many studies have also proposed models and methods for predicting such traits based on multi-platform remote sensing data. In this paper, the key quality traits that are of interest to producers and consumers are introduced. The literature related to grain quality prediction was analyzed in detail, and a review was conducted on remote sensing platforms, commonly used methods, potential gaps, and future trends in crop quality prediction. This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.
Quality Traits Grain Protein CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA REMOTE SENSING QUALITY GRAIN PROTEINS CEREALS PRODUCTION SYSTEMS
Xu Wang Sandesh Kumar Shrestha Philomin Juliana Suchismita Mondal Francisco Pinto Govindan Velu Leonardo Abdiel Crespo Herrera JULIO HUERTA_ESPINO Ravi Singh Jesse Poland (2023, [Artículo])
New Crop Varieties Plant Breeding Programs Yield Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA LEARNING GRAIN YIELDS WHEAT BREEDING FOOD SECURITY
Germano Costa Neto Jose Crossa (2024, [Artículo])
Forest Tree Breeding Genomic Relationship Matrix Genomic Selection Best Linear Unbiased Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FOREST TREES BREEDING MARKER-ASSISTED SELECTION MYRTACEAE EUCALYPTUS GLOBULUS
Dagne Wegary Gissa Amsal Tarekegne (2023, [Artículo])
Three-Way Crosses Single-Crosses Better and Mid-Parent Heterosis CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CROSS-BREEDING HYBRIDS HETEROSIS MAIZE
E. African spring wheat breeding pipeline and Network (CIMMYT-KALRO)
sridhar bhavani (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT PLANT BREEDING RESEARCH NETWORKS
Redesigning crop varieties to win the race between climate change and food security
Kevin Pixley Jill Cairns Santiago Lopez-Ridaura Chris Ojiewo Baloua Nébié Godfrey Asea Biswanath Das Benoit Joseph Batieno Clare Mukankusi Sarah Hearne Kanwarpal Dhugga Sieglinde Snapp Ernesto Adair Zepeda Villarreal (2023, [Artículo])
Crop Breeding Expert Survey CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE CHANGE CROPPING SYSTEMS FOOD SECURITY CROPS
Principles of field experimentation
Berhanu Tadesse Ertiro (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA FIELD EXPERIMENTATION EXPERIMENTAL DESIGN RANDOMIZED BLOCK DESIGN LATTICE DESIGN PLANT BREEDING
Genomic approaches for improving grain zinc and iron content in wheat
Chandan Roy Govindan Velu (2022, [Artículo])
Genome-Wide Association Study New Breeding Techniques Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BIOFORTIFICATION MARKER-ASSISTED SELECTION MALNUTRITION BREEDING QUANTITATIVE TRAIT LOCI MAPPING SPEED BREEDING ZINC IRON WHEAT
Anne M. Hansen DANGELO ANTONIO SANDOVAL CHACON (2019, [Documento de trabajo])
El objetivo del proyecto es evaluar experimentalmente y mediante modelación, las cargas externa (CE) e interna (CI) de carbono (C) en un cuerpo de agua. El sitio seleccionado para la realización de esta investigación, es la presa Valle de Bravo. La presa forma parte del sistema Cutzamala que suministra 345 Mm3 de agua potable para uso residencial e industrial tanto a la Ciudad como al Estado de México.
Carbono Gases del efecto invernadero Recursos hídricos CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA