High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model
Improvement of crop water use efficiency (CWUE), defined as crop yield per volume of water used, is an important goal for both crop management and breeding. While many technologies have been developed for measuring crop water use in crop management studies, rarely have these techniques been applied...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/10/11/1682 |
| _version_ | 1819294459072872448 |
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| author | Kelly R. Thorp Alison L. Thompson Sara J. Harders Andrew N. French Richard W. Ward |
| author_facet | Kelly R. Thorp Alison L. Thompson Sara J. Harders Andrew N. French Richard W. Ward |
| author_sort | Kelly R. Thorp |
| collection | DOAJ |
| description | Improvement of crop water use efficiency (CWUE), defined as crop yield per volume of water used, is an important goal for both crop management and breeding. While many technologies have been developed for measuring crop water use in crop management studies, rarely have these techniques been applied at the scale of breeding plots. The objective was to develop a high-throughput methodology for quantifying water use in a cotton breeding trial at Maricopa, AZ, USA in 2016 and 2017, using evapotranspiration (ET) measurements from a co-located irrigation management trial to evaluate the approach. Approximately weekly overflights with an unmanned aerial system provided multispectral imagery from which plot-level fractional vegetation cover (<inline-formula> <math display="inline"> <semantics> <msub> <mi>f</mi> <mi>c</mi> </msub> </semantics> </math> </inline-formula>) was computed. The <inline-formula> <math display="inline"> <semantics> <msub> <mi>f</mi> <mi>c</mi> </msub> </semantics> </math> </inline-formula> data were used to drive a daily ET-based soil water balance model for seasonal crop water use quantification. A mixed model statistical analysis demonstrated that differences in ET and CWUE could be discriminated among eight cotton varieties (<inline-formula> <math display="inline"> <semantics> <mrow> <mi>p</mi> <mo><</mo> <mn>0</mn> <mo>.</mo> <mn>05</mn> </mrow> </semantics> </math> </inline-formula>), which were sown at two planting dates and managed with four irrigation levels. The results permitted breeders to identify cotton varieties with more favorable water use characteristics and higher CWUE, indicating that the methodology could become a useful tool for breeding selection. |
| first_indexed | 2024-12-24T04:26:39Z |
| format | Article |
| id | doaj.art-9591f151cfa74fc1ac63ab56a6db5a0c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-12-24T04:26:39Z |
| publishDate | 2018-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-9591f151cfa74fc1ac63ab56a6db5a0c2022-12-21T17:15:34ZengMDPI AGRemote Sensing2072-42922018-10-011011168210.3390/rs10111682rs10111682High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance ModelKelly R. Thorp0Alison L. Thompson1Sara J. Harders2Andrew N. French3Richard W. Ward4USDA-ARS, Arid-Land Agricultural Research Center, Maricopa, AZ 85138, USAUSDA-ARS, Arid-Land Agricultural Research Center, Maricopa, AZ 85138, USAUSDA-ARS, Arid-Land Agricultural Research Center, Maricopa, AZ 85138, USAUSDA-ARS, Arid-Land Agricultural Research Center, Maricopa, AZ 85138, USAMaricopa Agricultural Center, University of Arizona, Maricopa, AZ 85138, USAImprovement of crop water use efficiency (CWUE), defined as crop yield per volume of water used, is an important goal for both crop management and breeding. While many technologies have been developed for measuring crop water use in crop management studies, rarely have these techniques been applied at the scale of breeding plots. The objective was to develop a high-throughput methodology for quantifying water use in a cotton breeding trial at Maricopa, AZ, USA in 2016 and 2017, using evapotranspiration (ET) measurements from a co-located irrigation management trial to evaluate the approach. Approximately weekly overflights with an unmanned aerial system provided multispectral imagery from which plot-level fractional vegetation cover (<inline-formula> <math display="inline"> <semantics> <msub> <mi>f</mi> <mi>c</mi> </msub> </semantics> </math> </inline-formula>) was computed. The <inline-formula> <math display="inline"> <semantics> <msub> <mi>f</mi> <mi>c</mi> </msub> </semantics> </math> </inline-formula> data were used to drive a daily ET-based soil water balance model for seasonal crop water use quantification. A mixed model statistical analysis demonstrated that differences in ET and CWUE could be discriminated among eight cotton varieties (<inline-formula> <math display="inline"> <semantics> <mrow> <mi>p</mi> <mo><</mo> <mn>0</mn> <mo>.</mo> <mn>05</mn> </mrow> </semantics> </math> </inline-formula>), which were sown at two planting dates and managed with four irrigation levels. The results permitted breeders to identify cotton varieties with more favorable water use characteristics and higher CWUE, indicating that the methodology could become a useful tool for breeding selection.https://www.mdpi.com/2072-4292/10/11/1682breedingdroughtevapotranspirationmodelingphenomicsremote sensingunmanned aerial system |
| spellingShingle | Kelly R. Thorp Alison L. Thompson Sara J. Harders Andrew N. French Richard W. Ward High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model Remote Sensing breeding drought evapotranspiration modeling phenomics remote sensing unmanned aerial system |
| title | High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model |
| title_full | High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model |
| title_fullStr | High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model |
| title_full_unstemmed | High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model |
| title_short | High-Throughput Phenotyping of Crop Water Use Efficiency via Multispectral Drone Imagery and a Daily Soil Water Balance Model |
| title_sort | high throughput phenotyping of crop water use efficiency via multispectral drone imagery and a daily soil water balance model |
| topic | breeding drought evapotranspiration modeling phenomics remote sensing unmanned aerial system |
| url | https://www.mdpi.com/2072-4292/10/11/1682 |
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