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Leaf to panicle ratio (LPR): a new physiological trait indicative of source and sink relation in japonica rice based on deep learning

Identification and characterization of new traits with sound physiological foundation is essential for crop breeding and production management. Deep learning has been widely used in image data analysis to explore spatial and temporal information on crop growth and development, thus strengthening the power of identification of physiological traits. Taking the advantage of deep learning, this study aims to develop a novel trait of canopy structure that integrate source and sink in japonica rice.

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Authors
  • Name: Yang, Zongfeng, Type: Corresponding Author,
  • Name: Gao, Shang, Type: Producteur,
  • Name: Xiao, Feng, Type: Producteur,
  • Name: Li, Ganghua, Type: Producteur,
  • Name: Ding, Yangfeng, Type: Producteur,
  • Name: Guo, Qinghua, Type: Producteur,
  • Name: Paul, Matthew J., Type: Producteur,
  • Name: Liu, Zhenghui, Type: Producteur,
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Article Host Type publisher
Article Is Open Access true
Article License Type cc-by
Article Version Type publishedVersion
Citation Report https://scite.ai/reports/10.1186/s13007-020-00660-y
DFW Organisation RRes
DFW Work Package 1
DOI 10.1186/s13007-020-00660-y
Date Last Updated 2020-11-30T15:45:14.439524
Evidence oa journal (via doaj)
Funder Code(s)
Journal Is Open Access true
Open Access Status gold
PDF URL https://plantmethods.biomedcentral.com/track/pdf/10.1186/s13007-020-00660-y.pdf
Publisher URL https://doi.org/10.1186/s13007-020-00660-y