Filtrar por:
Tipo de publicación
- Artículo (88)
- Objeto de congreso (21)
- Capítulo de libro (3)
- Libro (2)
- Otro (1)
Autores
- sridhar bhavani (10)
- Govindan Velu (7)
- Alison Bentley (6)
- Ravi Singh (6)
- JULIO HUERTA_ESPINO (5)
Años de Publicación
Editores
- Ciudad de México : UAM, Unidad Cuajimalpa, División de Ciencias Naturales e Ingeniería (1)
- IJERA (1)
- INFOTEC Centro de Investigación e Innovación en Tecnologías de la Información y Comunicación (1)
- Instituto Mexicano de Tecnología del Agua (1)
Repositorios Orígen
- Repositorio Institucional de Publicaciones Multimedia del CIMMYT (110)
- CIATEQ Digital (1)
- Concentración de Recursos de Información Científica y Académica, UAM Cuajimalpa (1)
- Repositorio Digital Institucional de la Universidad Autónoma de Yucatán (1)
- Repositorio Institucional de INFOTEC (1)
Tipos de Acceso
- oa:openAccess (115)
Idiomas
Materias
- CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA (110)
- WHEAT (85)
- DISEASE RESISTANCE (16)
- RUSTS (15)
- BREEDING (13)
Selecciona los temas de tu interés y recibe en tu correo las publicaciones más actuales
Tek Sapkota Sieglinde Snapp (2022, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CEREAL PRODUCTS PRODUCTION SYSTEMS CEREALS NITROGEN RICE WHEAT MAIZE
Wenfei Tian Maria Itria Ibba Govindan Velu Shuanghe Cao Zhonghu He (2024, [Artículo])
CIMMYT Germplasm CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GERMPLASM FERULIC ACID FUNCTIONAL FOODS PHYTOCHEMICALS YIELD POTENTIAL WHEAT FOOD PRODUCTION
Satellite imagery for high-throughput phenotyping in breeding plots
Francisco Pinto Mainassara Zaman-Allah Matthew Paul Reynolds Urs Schulthess (2023, [Artículo])
Optimized Soil Adjusted Vegetation Index CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA HIGH-THROUGHPUT PHENOTYPING SATELLITES WHEAT MAIZE BREEDING NORMALIZED DIFFERENCE VEGETATION INDEX
Multimodal deep learning methods enhance genomic prediction of wheat breeding
Carolina Rivera-Amado Francisco Pinto Francisco Javier Pinera-Chavez David González-Diéguez Matthew Paul Reynolds Paulino Pérez-Rodríguez Huihui Li Osval Antonio Montesinos-Lopez Jose Crossa (2023, [Artículo])
Conventional Methods Genomic Prediction Accuracy Deep Learning Novel Methods CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT BREEDING MACHINE LEARNING METHODS MARKER-ASSISTED SELECTION
A 'wiring diagram' for sink strength traits impacting wheat yield potential
Gustavo Slafer John Foulkes Matthew Paul Reynolds Erik Murchie A Elizabete Carmo-Silva Simon Griffiths (2023, [Artículo])
Grain Number Grain Weight Yield Physiology CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING GRAIN HARVEST INDEX SOURCE SINK RELATIONS YIELD COMPONENTS WHEAT
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
CIMMYT seed systems interventions
AbduRahman Issa (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA SEED SYSTEMS VALUE CHAINS POLICIES HYBRIDS MAIZE WHEAT
Impact of manures and fertilizers on yield and soil properties in a rice-wheat cropping system
Alison Laing Akbar Hossain (2023, [Artículo])
The use of chemical fertilizers under a rice-wheat cropping system (RWCS) has led to the emergence of micronutrient deficiency and decreased crop productivity. Thus, the experiment was conducted with the aim that the use of organic amendments would sustain productivity and improve the soil nutrient status under RWCS. A three-year experiment was conducted with different organic manures i.e. no manure (M0), farmyard manure@15 t ha-1 (M1), poultry manure@6 t ha-1(M2), press mud@15 t ha-1(M3), rice straw compost@6 t ha-1(M4) along with different levels of the recommended dose of fertilizer (RDF) i.e. 0% (F1), 75% (F2 and 100% (F3 in a split-plot design with three replications and plot size of 6 m x 1.2 m. Laboratory-based analysis of different soil as well as plant parameters was done using standard methodologies. The use of manures considerably improved the crop yield, macronutrients viz. nitrogen, phosphorus, potassium and micronutrients such as zinc, iron, manganese and copper, uptake in both the crops because of nutrient release from decomposed organic matter. Additionally, the increase in fertilizer dose increased these parameters. The system productivity was maximum recorded under F3M1 (13,052 kg ha-1) and results were statistically identical with F3M2 and F3M3. The significant upsurge of macro and micro-nutrients in soil and its correlation with yield outcomes was also observed through the combined use of manures as well as fertilizers. This study concluded that the use of 100% RDF integrated with organic manures, particularly farmyard manure would be a beneficial resource for increased crop yield, soil nutrient status and system productivity in RWCS in different regions of India.
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ORGANIC FERTILIZERS YIELDS SOIL PROPERTIES RICE WHEAT CROPPING SYSTEMS
Ming Li Shuanghe Cao xianchun xia Zhonghu He Yong Zhang (2023, [Artículo])
KASP Markers CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA PREHARVEST SPROUTING GERMINATION INDEX QUANTITATIVE TRAIT LOCI WHEAT