Principal variable selection to explain grain yield variation in winter wheat from features extracted from UAV imagery

BACKGROUND: Automated phenotyping technologies are continually advancing the breeding process. However, collecting various secondary traits throughout the growing season and processing massive amounts of data still take great efforts and time. Selecting a minimum number of secondary traits that have...

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Detalles Bibliográficos
Autores principales: Li, Jiating, Veeranampalayam-Sivakumar, Arun-Narenthiran, Bhatta, Madhav, Garst, Nicholas D., Stoll, Hannah, Stephen Baenziger, P., Belamkar, Vikas, Howard, Reka, Ge, Yufeng, Shi, Yeyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824016/
https://www.ncbi.nlm.nih.gov/pubmed/31695728
http://dx.doi.org/10.1186/s13007-019-0508-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6824016/
https://www.ncbi.nlm.nih.gov/pubmed/31695728
http://dx.doi.org/10.1186/s13007-019-0508-7

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