Breedbase: a digital ecosystem for modern plant breeding

Modern breeding methods integrate next-generation sequencing and phenomics to identify plants with the best characteristics and greatest genetic merit for use as parents in subsequent breeding cycles to ultimately create improved cultivars able to sustain high adoption rates by farmers. This data-dr...

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Detalles Bibliográficos
Autores principales: Morales, Nicolas, Ogbonna, Alex C, Ellerbrock, Bryan J, Bauchet, Guillaume J, Tantikanjana, Titima, Tecle, Isaak Y, Powell, Adrian F, Lyon, David, Menda, Naama, Simoes, Christiano C, Saha, Surya, Hosmani, Prashant, Flores, Mirella, Panitz, Naftali, Preble, Ryan S, Agbona, Afolabi, Rabbi, Ismail, Kulakow, Peter, Peteti, Prasad, Kawuki, Robert, Esuma, Williams, Kanaabi, Micheal, Chelangat, Doreen M, Uba, Ezenwanyi, Olojede, Adeyemi, Onyeka, Joseph, Shah, Trushar, Karanja, Margaret, Egesi, Chiedozie, Tufan, Hale, Paterne, Agre, Asfaw, Asrat, Jannink, Jean-Luc, Wolfe, Marnin, Birkett, Clay L, Waring, David J, Hershberger, Jenna M, Gore, Michael A, Robbins, Kelly R, Rife, Trevor, Courtney, Chaney, Poland, Jesse, Arnaud, Elizabeth, Laporte, Marie-Angélique, Kulembeka, Heneriko, Salum, Kasele, Mrema, Emmanuel, Brown, Allan, Bayo, Stanley, Uwimana, Brigitte, Akech, Violet, Yencho, Craig, de Boeck, Bert, Campos, Hugo, Swennen, Rony, Edwards, Jeremy D, Mueller, Lukas A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Software and Data Resources
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258556/
https://www.ncbi.nlm.nih.gov/pubmed/35385099
http://dx.doi.org/10.1093/g3journal/jkac078

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