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 |