Autor: Fritsche-Neto, Roberto
Autor: Carvalho, Humberto Fanelli
Ejemplares similares: Optimizing self-pollinated crop breeding employing genomic selection: From schemes to updating training sets
- Lifting the buzz out of provisioning pollination services- A review on role of forest management practices on pollination services
- Status of pollinators and pollination services in the Eastern Indian agricultural landscape (Webinar session 3)
- Pollination of cacao in Costa Rica
- Pollination supply models from a local to global scale
- Optimizing QTL introgression via stochastic simulations: an example of the IRRI rice breeding program
- Threats to an ecosystem service: pressures on pollinators
Ejemplares similares: Automated machine learning: A case study of genomic "image-based" prediction in maize hybrids
- Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data
- EnvRtype: a software to interplay enviromics and quantitative genomics in agriculture
- Genome-wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth-related traits in maize under plant growth-promoting bacteria inoculation
- Machine learning algorithms translate big data into predictive breeding accuracy
- Leveraging automated machine learning for environmental data-driven genetic analysis and genomic prediction in maize hybrids
- Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software