Knowledge Center Catalog

Development and evaluation of a self-propelled electric platform for high-throughput field phenotyping in wheat breeding trials (Record no. 62044)

MARC details
000 -LEADER
fixed length control field 03259nab a22003257a 4500
001 - CONTROL NUMBER
control field 62044
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919021228.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200602s2020 ne |||p|op||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 0168-1699
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1016/j.compag.2020.105237
040 ## - CATALOGING SOURCE
Original cataloging agency MX-TxCIM
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
100 1# - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 12927
Personal name Ruiz Pérez, M.
245 10 - TITLE STATEMENT
Title Development and evaluation of a self-propelled electric platform for high-throughput field phenotyping in wheat breeding trials
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Amsterdam (Netherlands) :
Name of publisher, distributor, etc. Elsevier,
Date of publication, distribution, etc. 2020.
500 ## - GENERAL NOTE
General note Peer review
520 ## - SUMMARY, ETC.
Summary, etc. The use of high-throughput phenotyping systems in crop research offers a powerful alternative to traditional methods for understanding plant behaviours. These systems provide a rapid, consistent, repeatable, non-destructive and objective sampling method to quantify complex and previously unobtainable traits at relatively fine resolutions. In this study, a field-based high-throughput phenotyping solution for wheat was developed using a sensor suite mounted on a self-propelled electric platform. A 2D LiDAR was used to scan wheat plots from overhead, while an odometry system was used as a local navigation system to determine the precise plot/plant/scan location. Accurate 3D models of the scanned wheat plots were reconstructed based on the recorded LiDAR and odometry data. Seven plots of different wheat cultivars were scanned to calculate the canopy height using LiDAR data, and these results were compared with manual ground truth measurements. Additionally, in each of these seven plots, the NDVI and PRI spectral indices were calculated using low-cost spectral reflectance sensors (SRSs) and an expensive visible/near-infrared (VIS/NIR) spectral analysis system used for reference purposes. The results of the validation showed good agreement between the LiDAR and manual wheat plant height measurements with an R2 of 0.73 and RMSE = 2.63 cm for three days of campaign measurements. A statistically significant linear correlation was observed between the NDVI values obtained with the reference spectrometer and the low-cost SRS; the coefficients of determination were R2 = 0.69 for day 1 and R2 = 0.81 for day 2, suggesting a similar degree of accuracy among both sensing systems. The developed platform and the obtained wheat phenotyping results demonstrated the suitability of the system for acquiring reliable data under field conditions while maintaining a constant low speed and stability during field deployment. The adaptability of the platform to the structure of the crop and the repeatability of data collection throughout the growing season make the system suitable for integration into commercial breeding programmes.
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Wheat
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1310
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Plant breeding
Miscellaneous information AGROVOC
Source of heading or term
9 (RLIN) 1203
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 3634
Topical term or geographic name as entry element Phenotypes
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 13842
Personal name Prior, A.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 13843
Personal name Martinez-Guanter, J.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 13844
Personal name Apolo-Apolo, O.E.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 13845
Personal name Andrade-Sanchez, P.
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 13846
Personal name Egea, G.
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication Amsterdam (Netherlands) : Elsevier, 2020.
Related parts v, 169, art. 105237
Title Computers and Electronics in Agriculture
International Standard Serial Number 0168-1699
Record control number u444118
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Article
Suppress in OPAC No
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
06/08/2020   06/08/2020 Article Not Lost Dewey Decimal Classification     Reprints Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 06/08/2020

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