Unlocking big data doubled the accuracy in predicting the grain yield in hybrid wheat

The potential of big data to support businesses has been demonstrated in financial services, manufacturing, and telecommunications. Here, we report on efforts to enter a new data era in plant breeding by collecting genomic and phenotypic information from 12,858 wheat genotypes representing 6575 sing...

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Detalles Bibliográficos
Autores principales: Zhao, Yusheng, Thorwarth, Patrick, Jiang, Yong, Philipp, Norman, Schulthess, Albert W., Gils, Mario, Boeven, Philipp H. G., Longin, C. Friedrich H., Schacht, Johannes, Ebmeyer, Erhard, Korzun, Viktor, Mirdita, Vilson, Dörnte, Jost, Avenhaus, Ulrike, Horbach, Ralf, Cöster, Hilmar, Holzapfel, Josef, Ramgraber, Ludwig, Kühnle, Simon, Varenne, Pierrick, Starke, Anne, Schürmann, Friederike, Beier, Sebastian, Scholz, Uwe, Liu, Fang, Schmidt, Renate H., Reif, Jochen C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195483/
https://www.ncbi.nlm.nih.gov/pubmed/34117061
http://dx.doi.org/10.1126/sciadv.abf9106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195483/
https://www.ncbi.nlm.nih.gov/pubmed/34117061
http://dx.doi.org/10.1126/sciadv.abf9106

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