reference/33789094

http://rdf.ncbi.nlm.nih.gov/pubchem/reference/33789094

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Predicate	Object
contentType	Journal Article
issn	1746-4811
issueIdentifier	1
pageRange	57-
publicationName	Plant Methods
startingPage	57
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_71f4b76a18040ac36a51bcb8296c799c http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_274a87fdd2d7d6aaba9a3774c9e5d285 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_b5af8f3c25fcb6129e3174265aad0592 http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_e28346d188a429fea07742b72605044b
bibliographicCitation	Han L, Yang G, Dai H, Yang H, Xu B, Li H, Long H, Li Z, Yang X, Zhao C. Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenotyping platform. Plant Methods. 2019 May 28;15(1):57. doi: 10.1186/s13007-019-0444-6.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_0cc19058ca9c17af389c98b4050b3566 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_2a003ae198990785523b9407517ba21b http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d1a4dc85bce41037b6162732ab2a7b79 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_3b0608571aaebf820da187e4634dfde0 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_58924f9287562a5ee3089a1fd12666d5 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_e4dd58dfe4a3d092fe46f5fa54d13b8c http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_94da3c091415eba1f93e298e2f8504b5 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_d2a470694bb248e4a163a3359ce50c9f http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_69abebb907716a58443606c793e20594 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_6e0fdf6829040dbe33c0f808403c9d7d
date	2019-05-28^^<http://www.w3.org/2001/XMLSchema#date>
identifier	https://pubmed.ncbi.nlm.nih.gov/PMC6537385 https://pubmed.ncbi.nlm.nih.gov/31149023 https://doi.org/10.1186/s13007-019-0444-6
isPartOf	http://rdf.ncbi.nlm.nih.gov/pubchem/journal/32399 https://portal.issn.org/resource/ISSN/1746-4811
language	English
source	https://scigraph.springernature.com/ https://www.crossref.org/ https://pubmed.ncbi.nlm.nih.gov/
title	Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenotyping platform

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