MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03626nab a22003617a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
60013 |
| 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 |
190124s2019 ne |||po|p||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
|---|
| International Standard Serial Number |
0168-9452 |
| 024 8# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
https://doi.org/10.1016/j.plantsci.2018.10.022 |
| 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 13 - TITLE STATEMENT |
|---|
| Title |
A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Netherlands : |
| Name of publisher, distributor, etc. |
Elsevier, |
| Date of publication, distribution, etc. |
2019. |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Peer review |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Wheat improvement programs require rapid assessment of large numbers of individual plots across multiple environments. Vegetation indices (VIs) that are mainly associated with yield and yield-related physiological traits, and rapid evaluation of canopy normalized difference vegetation index (NDVI) can assist in-season selection. Multi-spectral imagery using unmanned aerial vehicles (UAV) can readily assess the VIs traits at various crop growth stages. Thirty-two wheat cultivars and breeding lines grown in limited irrigation and full irrigation treatments were investigated to monitor NDVI across the growth cycle using a Sequoia sensor mounted on a UAV. Significant correlations ranging from R2 = 0.38 to 0.90 were observed between NDVI detected from UAV and Greenseeker (GS) during stem elongation (SE) to late grain gilling (LGF) across the treatments. UAV-NDVI also had high heritabilities at SE (h2 = 0.91), flowering (F)(h2 = 0.95), EGF (h2 = 0.79) and mid grain filling (MGF) (h2 = 0.71) under the full irrigation treatment, and at booting (B) (h2 = 0.89), EGF (h2 = 0.75) in the limited irrigation treatment. UAV-NDVI explained significant variation in grain yield (GY) at EGF (R2 = 0.86), MGF (R2 = 0.83) and LGF (R2 = 0.89) stages, and results were consistent with GS-NDVI. Higher correlations between UAV-NDVI and GY were observed under full irrigation at three different grain-filling stages (R2 = 0.40, 0.49 and 0.45) than the limited irrigation treatment (R2 = 0.08, 0.12 and 0.14) and GY was calculated to be 24.4% lower under limited irrigation conditions. Pearson correlations between UAV-NDVI and GY were also low ranging from r = 0.29 to 0.37 during grain-filling under limited irrigation but higher than GS-NDVI data. A similar pattern was observed for normalized difference red-edge (NDRE) and normalized green red difference index (NGRDI) when correlated with GY. Fresh biomass estimated at late flowering stage had significant correlations of r = 0.30 to 0.51 with UAV-NDVI at EGF. Some genotypes Nongda 211, Nongda 5181, Zhongmai 175 and Zhongmai 12 were identified as high yielding genotypes using NDVI during grain-filling. In conclusion, a multispectral sensor mounted on a UAV is a reliable high-throughput platform for NDVI measurement to predict biomass and GY and grain-filling stage seems the best period for selection. |
| 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 |
|---|
| 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 |
|---|
| 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 |
|---|
| 9 (RLIN) |
1138 |
| Topical term or geographic name as entry element |
Grain |
| Source of heading or term |
AGROVOC |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
7724 |
| Personal name |
Mengjiao Yang |
| 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 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
8337 |
| Personal name |
Guijun Yang |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Reynolds, M.P. |
| Miscellaneous information |
Global Wheat Program |
| Field link and sequence number |
INT1511 |
| 9 (RLIN) |
831 |
| 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 |
|---|
| Related parts |
v. 282, p. 95-103 |
| Title |
Plant Science |
| Record control number |
u444702 |
| International Standard Serial Number |
0168-9452 |
| Place, publisher, and date of publication |
Netherlands : Elsevier, 2019. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Article |
| Suppress in OPAC |
No |