Quantitative Determination of Germinability of Puccinia striiformis f. sp. tritici Urediospores Using Near Infrared Spectroscopy Technology
Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is an important disease on wheat. In this study, quantitative determination of germinability of Pst urediospores was investigated by using near infrared reflectance spectroscopy (NIRS) combined with quantitative partial least squares (Q...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2015/384214 |
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| author | Yaqiong Zhao Feng Qin Pei Cheng Xiaolong Li Zhanhong Ma Longlian Zhao Junhui Li Haiguang Wang |
| author_facet | Yaqiong Zhao Feng Qin Pei Cheng Xiaolong Li Zhanhong Ma Longlian Zhao Junhui Li Haiguang Wang |
| author_sort | Yaqiong Zhao |
| collection | DOAJ |
| description | Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is an important disease on wheat. In this study, quantitative determination of germinability of Pst urediospores was investigated by using near infrared reflectance spectroscopy (NIRS) combined with quantitative partial least squares (QPLS) and support vector regression (SVR). The near infrared spectra of the urediospore samples were acquired using FT-NIR MPA spectrometer and the germination rate of each sample was measured using traditional spore germination method. The best QPLS model was obtained with vector correction as the preprocessing method of the original spectra and 4000–12000 cm−1 as the modeling spectral region while the modeling ratio of the training set to the testing set was 4 : 1. The best SVR model was built when vector normalization was used as the preprocessing method, the modeling ratio was 5 : 1 and the modeling spectral region was 8000–11000 cm−1. The results showed that the effect of the best model built using QPLS or SVR was satisfactory. This indicated that quantitative determination of germinability of Pst urediospores using near infrared spectroscopy technology is feasible. A new method based on NIRS was provided for rapid, automatic, and nondestructive determination of germinability of Pst urediospores. |
| format | Article |
| id | doaj-art-0894b78ada574ee5b4c7113895913396 |
| institution | Kabale University |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-0894b78ada574ee5b4c71138959133962025-02-03T05:44:11ZengWileyJournal of Spectroscopy2314-49202314-49392015-01-01201510.1155/2015/384214384214Quantitative Determination of Germinability of Puccinia striiformis f. sp. tritici Urediospores Using Near Infrared Spectroscopy TechnologyYaqiong Zhao0Feng Qin1Pei Cheng2Xiaolong Li3Zhanhong Ma4Longlian Zhao5Junhui Li6Haiguang Wang7College of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, ChinaCollege of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, ChinaCollege of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, ChinaCollege of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, ChinaCollege of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, ChinaCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, ChinaCollege of Information and Electrical Engineering, China Agricultural University, Beijing 100083, ChinaCollege of Agriculture and Biotechnology, China Agricultural University, Beijing 100193, ChinaStripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is an important disease on wheat. In this study, quantitative determination of germinability of Pst urediospores was investigated by using near infrared reflectance spectroscopy (NIRS) combined with quantitative partial least squares (QPLS) and support vector regression (SVR). The near infrared spectra of the urediospore samples were acquired using FT-NIR MPA spectrometer and the germination rate of each sample was measured using traditional spore germination method. The best QPLS model was obtained with vector correction as the preprocessing method of the original spectra and 4000–12000 cm−1 as the modeling spectral region while the modeling ratio of the training set to the testing set was 4 : 1. The best SVR model was built when vector normalization was used as the preprocessing method, the modeling ratio was 5 : 1 and the modeling spectral region was 8000–11000 cm−1. The results showed that the effect of the best model built using QPLS or SVR was satisfactory. This indicated that quantitative determination of germinability of Pst urediospores using near infrared spectroscopy technology is feasible. A new method based on NIRS was provided for rapid, automatic, and nondestructive determination of germinability of Pst urediospores.http://dx.doi.org/10.1155/2015/384214 |
| spellingShingle | Yaqiong Zhao Feng Qin Pei Cheng Xiaolong Li Zhanhong Ma Longlian Zhao Junhui Li Haiguang Wang Quantitative Determination of Germinability of Puccinia striiformis f. sp. tritici Urediospores Using Near Infrared Spectroscopy Technology Journal of Spectroscopy |
| title | Quantitative Determination of Germinability of Puccinia striiformis f. sp. tritici Urediospores Using Near Infrared Spectroscopy Technology |
| title_full | Quantitative Determination of Germinability of Puccinia striiformis f. sp. tritici Urediospores Using Near Infrared Spectroscopy Technology |
| title_fullStr | Quantitative Determination of Germinability of Puccinia striiformis f. sp. tritici Urediospores Using Near Infrared Spectroscopy Technology |
| title_full_unstemmed | Quantitative Determination of Germinability of Puccinia striiformis f. sp. tritici Urediospores Using Near Infrared Spectroscopy Technology |
| title_short | Quantitative Determination of Germinability of Puccinia striiformis f. sp. tritici Urediospores Using Near Infrared Spectroscopy Technology |
| title_sort | quantitative determination of germinability of puccinia striiformis f sp tritici urediospores using near infrared spectroscopy technology |
| url | http://dx.doi.org/10.1155/2015/384214 |
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