Estimation of wheat agronomic parameters using new spectral indices.
Crop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content ) are very important for the prediction of crop growth. The objective of this experiment was to investigate whether the wheat LAI, N uptake, and total Chl content could be accurately predicted usin...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2013-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3758323?pdf=render |
| _version_ | 1828414435656466432 |
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| author | Xiu-liang Jin Wan-ying Diao Chun-hua Xiao Fang-yong Wang Bing Chen Ke-ru Wang Shao-kun Li |
| author_facet | Xiu-liang Jin Wan-ying Diao Chun-hua Xiao Fang-yong Wang Bing Chen Ke-ru Wang Shao-kun Li |
| author_sort | Xiu-liang Jin |
| collection | DOAJ |
| description | Crop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content ) are very important for the prediction of crop growth. The objective of this experiment was to investigate whether the wheat LAI, N uptake, and total Chl content could be accurately predicted using spectral indices collected at different stages of wheat growth. Firstly, the product of the optimized soil-adjusted vegetation index and wheat biomass dry weight (OSAVI×BDW) were used to estimate LAI, N uptake, and total Chl content; secondly, BDW was replaced by spectral indices to establish new spectral indices (OSAVI×OSAVI, OSAVI×SIPI, OSAVI×CIred edge, OSAVI×CIgreen mode and OSAVI×EVI2); finally, we used the new spectral indices for estimating LAI, N uptake, and total Chl content. The results showed that the new spectral indices could be used to accurately estimate LAI, N uptake, and total Chl content. The highest R(2) and the lowest RMSEs were 0.711 and 0.78 (OSAVI×EVI2), 0.785 and 3.98 g/m(2) (OSAVI×CIred edge) and 0.846 and 0.65 g/m(2) (OSAVI×CIred edge) for LAI, nitrogen uptake and total Chl content, respectively. The new spectral indices performed better than the OSAVI alone, and the problems of a lack of sensitivity at earlier growth stages and saturation at later growth stages, which are typically associated with the OSAVI, were improved. The overall results indicated that this new spectral indices provided the best approximation for the estimation of agronomic indices for all growth stages of wheat. |
| first_indexed | 2024-12-10T13:26:19Z |
| format | Article |
| id | doaj.art-e95e5e7ee5cd4cce8e7dbddbfb09075c |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T13:26:19Z |
| publishDate | 2013-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-e95e5e7ee5cd4cce8e7dbddbfb09075c2022-12-22T01:47:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0188e7273610.1371/journal.pone.0072736Estimation of wheat agronomic parameters using new spectral indices.Xiu-liang JinWan-ying DiaoChun-hua XiaoFang-yong WangBing ChenKe-ru WangShao-kun LiCrop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content ) are very important for the prediction of crop growth. The objective of this experiment was to investigate whether the wheat LAI, N uptake, and total Chl content could be accurately predicted using spectral indices collected at different stages of wheat growth. Firstly, the product of the optimized soil-adjusted vegetation index and wheat biomass dry weight (OSAVI×BDW) were used to estimate LAI, N uptake, and total Chl content; secondly, BDW was replaced by spectral indices to establish new spectral indices (OSAVI×OSAVI, OSAVI×SIPI, OSAVI×CIred edge, OSAVI×CIgreen mode and OSAVI×EVI2); finally, we used the new spectral indices for estimating LAI, N uptake, and total Chl content. The results showed that the new spectral indices could be used to accurately estimate LAI, N uptake, and total Chl content. The highest R(2) and the lowest RMSEs were 0.711 and 0.78 (OSAVI×EVI2), 0.785 and 3.98 g/m(2) (OSAVI×CIred edge) and 0.846 and 0.65 g/m(2) (OSAVI×CIred edge) for LAI, nitrogen uptake and total Chl content, respectively. The new spectral indices performed better than the OSAVI alone, and the problems of a lack of sensitivity at earlier growth stages and saturation at later growth stages, which are typically associated with the OSAVI, were improved. The overall results indicated that this new spectral indices provided the best approximation for the estimation of agronomic indices for all growth stages of wheat.http://europepmc.org/articles/PMC3758323?pdf=render |
| spellingShingle | Xiu-liang Jin Wan-ying Diao Chun-hua Xiao Fang-yong Wang Bing Chen Ke-ru Wang Shao-kun Li Estimation of wheat agronomic parameters using new spectral indices. PLoS ONE |
| title | Estimation of wheat agronomic parameters using new spectral indices. |
| title_full | Estimation of wheat agronomic parameters using new spectral indices. |
| title_fullStr | Estimation of wheat agronomic parameters using new spectral indices. |
| title_full_unstemmed | Estimation of wheat agronomic parameters using new spectral indices. |
| title_short | Estimation of wheat agronomic parameters using new spectral indices. |
| title_sort | estimation of wheat agronomic parameters using new spectral indices |
| url | http://europepmc.org/articles/PMC3758323?pdf=render |
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