Knowledge Center Catalog

Method for identifying maize haploid seeds by applying diffuse transmission near-infrared spectroscopy (Record no. 62840)

MARC details
000 -LEADER
fixed length control field 02146nab|a22003137a|4500
001 - CONTROL NUMBER
control field 62840
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211006085217.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201030s2018||||xxu|||p|op||||00||0|eng|d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0003-7028
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1943-3530 (Online)
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1177%2F0003702817742790
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Jianchu Lin
9 (RLIN) 16906
245 10 - TITLE STATEMENT
Title Method for identifying maize haploid seeds by applying diffuse transmission near-infrared spectroscopy
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. USA :
Name of publisher, distributor, etc. SAGE Publications,
Date of publication, distribution, etc. 2018.
500 ## - GENERAL NOTE
General note Peer review
520 ## - SUMMARY, ETC.
Summary, etc. The identification for haploid seeds is an important process in maize haploid breeding. Thanks to the diffuse transmission (DT) technology of near-infrared (NIR) spectroscopy, maize haploid seeds can be selected automatically using NIR spectrum features. However, the NIR spectra of maize seeds contain a large number of redundant features and noise that will degrade the identification performance. We resolved this problem by designing a low dimension and uniform space of seed spectrum features to improve the collected spectra. The zero-phase component analysis (ZCA) method was utilized to uniform the feature space and the partial least squares regression (PLSR) was employed to design the low dimension space. Then, by using the classifier of back propagation neural network (BPNN), a high qualitative identification method was developed for selecting maize haploid seeds. The study results demonstrate that the average accuracy of the proposed method is outstanding (96.16%) with a minor standard deviation (SD) compared with other methods. Therefore, our proposed method is potentially useful for automatically identifying maize haploid seeds.
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Identification
Source of heading or term AGROVOC
9 (RLIN) 6140
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Infrared spectrophotometry
Source of heading or term AGROVOC
9 (RLIN) 6179
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Maize
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1173
700 0# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 16907
Personal name Lina Yu
700 0# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 16908
Personal name Weijun Li
700 0# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 16909
Personal name Hong Qin
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication USA : SAGE Publications, 2018.
Title Applied Spectroscopy
Related parts v. 72, no. 4, p. 611-617
International Standard Serial Number 0003-7028
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Article
Suppress in OPAC No
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Date last seen Total Checkouts Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Withdrawn status Home library Current library Date acquired
11/06/2020   11/06/2020 Article Not Lost Dewey Decimal Classification     Reprints Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 11/06/2020

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