Prediction of Aboveground Biomass of Three Cassava (<i>Manihot esculenta</i>) Genotypes Using a Terrestrial Laser Scanner
Challenges in rapid prototyping are a major bottleneck for plant breeders trying to develop the needed cultivars to feed a growing world population. Remote sensing techniques, particularly LiDAR, have proven useful in the quick phenotyping of many characteristics across a number of popular crops. Ho...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/7/1272 |
| _version_ | 1797539858752733184 |
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| author | Tyler Adams Richard Bruton Henry Ruiz Ilse Barrios-Perez Michael G. Selvaraj Dirk B. Hays |
| author_facet | Tyler Adams Richard Bruton Henry Ruiz Ilse Barrios-Perez Michael G. Selvaraj Dirk B. Hays |
| author_sort | Tyler Adams |
| collection | DOAJ |
| description | Challenges in rapid prototyping are a major bottleneck for plant breeders trying to develop the needed cultivars to feed a growing world population. Remote sensing techniques, particularly LiDAR, have proven useful in the quick phenotyping of many characteristics across a number of popular crops. However, these techniques have not been demonstrated with cassava, a crop of global importance as both a source of starch as well as animal fodder. In this study, we demonstrate the applicability of using terrestrial LiDAR for the determination of cassava biomass through binned height estimations, total aboveground biomass and total leaf biomass. We also tested using single LiDAR scans versus multiple registered scans for estimation, all within a field setting. Our results show that while the binned height does not appear to be an effective method of aboveground phenotyping, terrestrial laser scanners can be a reliable tool in acquiring surface biomass data in cassava. Additionally, we found that using single scans versus multiple scans provides similarly accurate correlations in most cases, which will allow for the 3D phenotyping method to be conducted even more rapidly than expected. |
| first_indexed | 2024-03-10T12:51:52Z |
| format | Article |
| id | doaj.art-04216894ffc545be90d769b36c1cab33 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T12:51:52Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-04216894ffc545be90d769b36c1cab332023-11-21T12:59:10ZengMDPI AGRemote Sensing2072-42922021-03-01137127210.3390/rs13071272Prediction of Aboveground Biomass of Three Cassava (<i>Manihot esculenta</i>) Genotypes Using a Terrestrial Laser ScannerTyler Adams0Richard Bruton1Henry Ruiz2Ilse Barrios-Perez3Michael G. Selvaraj4Dirk B. Hays5Molecular & Environmental Plant Sciences, Texas A&M University, College Station, TX 77843, USADepartment of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USAMolecular & Environmental Plant Sciences, Texas A&M University, College Station, TX 77843, USAMolecular & Environmental Plant Sciences, Texas A&M University, College Station, TX 77843, USAInternational Center for Tropical Agriculture, Santiago de Cali 6713, ColombiaDepartment of Soil and Crop Sciences, Texas A&M University, College Station, TX 77843, USAChallenges in rapid prototyping are a major bottleneck for plant breeders trying to develop the needed cultivars to feed a growing world population. Remote sensing techniques, particularly LiDAR, have proven useful in the quick phenotyping of many characteristics across a number of popular crops. However, these techniques have not been demonstrated with cassava, a crop of global importance as both a source of starch as well as animal fodder. In this study, we demonstrate the applicability of using terrestrial LiDAR for the determination of cassava biomass through binned height estimations, total aboveground biomass and total leaf biomass. We also tested using single LiDAR scans versus multiple registered scans for estimation, all within a field setting. Our results show that while the binned height does not appear to be an effective method of aboveground phenotyping, terrestrial laser scanners can be a reliable tool in acquiring surface biomass data in cassava. Additionally, we found that using single scans versus multiple scans provides similarly accurate correlations in most cases, which will allow for the 3D phenotyping method to be conducted even more rapidly than expected.https://www.mdpi.com/2072-4292/13/7/1272remote sensinghigh-throughput phenotypingterrestrial laser scannercassavapoint cloudbinned height |
| spellingShingle | Tyler Adams Richard Bruton Henry Ruiz Ilse Barrios-Perez Michael G. Selvaraj Dirk B. Hays Prediction of Aboveground Biomass of Three Cassava (<i>Manihot esculenta</i>) Genotypes Using a Terrestrial Laser Scanner Remote Sensing remote sensing high-throughput phenotyping terrestrial laser scanner cassava point cloud binned height |
| title | Prediction of Aboveground Biomass of Three Cassava (<i>Manihot esculenta</i>) Genotypes Using a Terrestrial Laser Scanner |
| title_full | Prediction of Aboveground Biomass of Three Cassava (<i>Manihot esculenta</i>) Genotypes Using a Terrestrial Laser Scanner |
| title_fullStr | Prediction of Aboveground Biomass of Three Cassava (<i>Manihot esculenta</i>) Genotypes Using a Terrestrial Laser Scanner |
| title_full_unstemmed | Prediction of Aboveground Biomass of Three Cassava (<i>Manihot esculenta</i>) Genotypes Using a Terrestrial Laser Scanner |
| title_short | Prediction of Aboveground Biomass of Three Cassava (<i>Manihot esculenta</i>) Genotypes Using a Terrestrial Laser Scanner |
| title_sort | prediction of aboveground biomass of three cassava i manihot esculenta i genotypes using a terrestrial laser scanner |
| topic | remote sensing high-throughput phenotyping terrestrial laser scanner cassava point cloud binned height |
| url | https://www.mdpi.com/2072-4292/13/7/1272 |
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