Knowledge Center Catalog

Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat (Record no. 61504)

MARC details
000 -LEADER
fixed length control field 03700nab a22004097a 4500
001 - CONTROL NUMBER
control field 61504
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231009164119.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200320s2019 xxk|||p|op||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1746-4811
024 8# - OTHER STANDARD IDENTIFIER
Standard number or code https://doi.org/10.1186/s13007-019-0419-7
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) 7723
Personal name Hassan, M.A.
245 10 - TITLE STATEMENT
Title Accuracy assessment of plant height using an unmanned aerial vehicle for quantitative genomic analysis in bread wheat
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. London (United Kingdom) :
Name of publisher, distributor, etc. BioMed Central,
Date of publication, distribution, etc. 2019.
500 ## - GENERAL NOTE
General note Peer review
500 ## - GENERAL NOTE
General note Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Background. Plant height is an important selection target since it is associated with yield potential, stability and particularly with lodging resistance in various environments. Rapid and cost-effective estimation of plant height from airborne devices using a digital surface model can be integrated with academic research and practical wheat breeding programs. A bi-parental wheat population consisting of 198 doubled haploid lines was used for time-series assessments of progress in reaching final plant height and its accuracy was assessed by quantitative genomic analysis. UAV-based data were collected at the booting and mid-grain fill stages from two experimental sites and compared with conventional measurements to identify quantitative trait loci (QTL) underlying plant height. Results. A significantly high correlation of R2 = 0.96 with a 5.75 cm root mean square error was obtained between UAV-based plant height estimates and ground truth observations at mid-grain fill across both sites. Correlations for UAV and ground-based plant height data were also very high (R2 = 0.84–0.85, and 0.80–0.83) between plant height at the booting and mid-grain fill stages, respectively. Broad sense heritabilities were 0.92 at booting and 0.90–0.91 at mid-grain fill across sites for both data sets. Two major QTL corresponding to Rht-B1 on chromosome 4B and Rht-D1 on chromosome 4D explained 61.3% and 64.5% of the total phenotypic variations for UAV and ground truth data, respectively. Two new and stable QTL on chromosome 6D seemingly associated with accelerated plant growth was identified at the booting stage using UAV-based data. Genomic prediction accuracy for UAV and ground-based data sets was significantly high, ranging from r = 0.47–0.55 using genome-wide and QTL markers for plant height. However, prediction accuracy declined to r = 0.20–0.31 after excluding markers linked to plant height QTL. Conclusion. This study provides a fast way to obtain time-series estimates of plant height in understanding growth dynamics in bread wheat. UAV-enabled phenotyping is an effective, high-throughput and cost-effective approach to understand the genetic basis of plant height in genetic studies and practical breeding.
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name Wheat CRP
Wheat Flagship Projects FP2 - Novel diversity and tools adapt to climate change and resource constraints
546 ## - LANGUAGE NOTE
Language note Text in English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 1836
Topical term or geographic name as entry element Aerial surveying
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 1132
Topical term or geographic name as entry element Genomics
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 1853
Topical term or geographic name as entry element Quantitative Trait Loci
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 1296
Topical term or geographic name as entry element Triticum aestivum
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Source of heading or term AGROVOC
9 (RLIN) 11401
Topical term or geographic name as entry element Unmanned aerial vehicles
700 0# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 7724
Personal name Mengjiao Yang
700 0# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 5903
Personal name Luping Fu
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Awais Rasheed
Miscellaneous information Global Wheat Program
Field link and sequence number I1706474
9 (RLIN) 1938
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 3434
Personal name Bangyou Zheng
700 0# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 377
Personal name Xianchun Xia
700 0# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 1687
Personal name Yonggui Xiao
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name He Zhonghu
Miscellaneous information Global Wheat Program
Field link and sequence number INT2411
9 (RLIN) 838
773 0# - HOST ITEM ENTRY
Place, publisher, and date of publication London (United Kingdom) : BioMed Central, 2019.
Related parts v. 15, art. 37
Title Plant Methods
Record control number 57210
International Standard Serial Number 1746-4811
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/20808
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
03/20/2020   03/20/2020 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 03/20/2020

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