Knowledge Center Catalog

High-throughput phenotyping enabled genetic dissection of crop lodging in wheat (Record no. 60348)

MARC details
000 -LEADER
fixed length control field 03571nab a22003857a 4500
001 - CONTROL NUMBER
control field 60348
003 - CONTROL NUMBER IDENTIFIER
control field MX-TxCIM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240919021226.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190416s2019 sz |||po|p||| 00| 0 eng d
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
International Standard Serial Number 1664-462X
024 8# - OTHER STANDARD IDENTIFIER
Source of number or code https://doi.org/10.3389/fpls.2019.00394
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) 3851
Personal name Singh, D.
245 10 - TITLE STATEMENT
Title High-throughput phenotyping enabled genetic dissection of crop lodging in wheat
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Switzerland :
Name of publisher, distributor, etc. Frontiers Media,
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. Novel high-throughput phenotyping (HTP) approaches are needed to advance the understanding of genotype-to-phenotype and accelerate plant breeding. The first generation of HTP has examined simple spectral reflectance traits from images and sensors but is limited in advancing our understanding of crop development and architecture. Lodging is a complex trait that significantly impacts yield and quality in many crops including wheat. Conventional visual assessment methods for lodging are time-consuming, relatively low-throughput, and subjective, limiting phenotyping accuracy and population sizes in breeding and genetics studies. Here, we demonstrate the considerable power of unmanned aerial systems (UAS) or drone-based phenotyping as a high-throughput alternative to visual assessments for the complex phenological trait of lodging, which significantly impacts yield and quality in many crops including wheat. We tested and validated quantitative assessment of lodging on 2,640 wheat breeding plots over the course of 2 years using differential digital elevation models from UAS. High correlations of digital measures of lodging to visual estimates and equivalent broad-sense heritability demonstrate this approach is amenable for reproducible assessment of lodging in large breeding nurseries. Using these high-throughput measures to assess the underlying genetic architecture of lodging in wheat, we applied genome-wide association analysis and identified a key genomic region on chromosome 2A, consistent across digital and visual scores of lodging. However, these associations accounted for a very minor portion of the total phenotypic variance. We therefore investigated whole genome prediction models and found high prediction accuracies across populations and environments. This adequately accounted for the highly polygenic genetic architecture of numerous small effect loci, consistent with the previously described complex genetic architecture of lodging in wheat. Our study provides a proof-of-concept application of UAS-based phenomics that is scalable to tens-of-thousands of plots in breeding and genetic studies as will be needed to uncover the genetic factors and increase the rate of gain for complex traits in crop breeding.
526 ## - STUDY PROGRAM INFORMATION NOTE
Program name Wheat CRP
Wheat Flagship Projects FP3 - Global partnership to accelerate genetic gain in farmers field
546 ## - LANGUAGE NOTE
Language note Text in English
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
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
700 0# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 9093
Personal name Xu Wang
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Kumar, U.
Miscellaneous information Formerly Borlaug Institute for South Asia (BISA)
Field link and sequence number INT3331
9 (RLIN) 921
700 0# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 9094
Personal name Liangliang Gao
700 0# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 9095
Personal name Muhammad Noor
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 917
Personal name Imtiaz, M.
Miscellaneous information Global Wheat Program
Field link and sequence number INT3326
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Singh, R.P.
Miscellaneous information Global Wheat Program
Field link and sequence number INT0610
9 (RLIN) 825
700 1# - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 2092
Personal name Poland, J.A.
773 0# - HOST ITEM ENTRY
Related parts v. 10, art. 394
Title Frontiers in Plant Science
Record control number u56875
International Standard Serial Number 1664-462X
Place, publisher, and date of publication Switzerland : Frontiers Media, 2019.
856 4# - ELECTRONIC LOCATION AND ACCESS
Link text Open Access through DSpace
Uniform Resource Identifier https://hdl.handle.net/10883/20116
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
04/16/2019   04/16/2019 Article Not Lost Dewey Decimal Classification     CIMMYT Staff Publications Collection   CIMMYT Knowledge Center: John Woolston Library CIMMYT Knowledge Center: John Woolston Library 04/16/2019

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