Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral Reflectance
Genetic variation among populations within plant species can have huge impact on canopy biochemistry and structure across broad spatial scales. Since canopy spectral reflectance is determined largely by canopy biochemistry and structure, spectral reflectance can be used as a means to capture the var...
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MDPI AG
2023-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/4/896 |
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| author | Jingxue Zhang Mengli Han Liwen Wang Minghui Chen Chen Chen Sicong Shen Jiangui Liu Chao Zhang Jiali Shang Xuebing Yan |
| author_facet | Jingxue Zhang Mengli Han Liwen Wang Minghui Chen Chen Chen Sicong Shen Jiangui Liu Chao Zhang Jiali Shang Xuebing Yan |
| author_sort | Jingxue Zhang |
| collection | DOAJ |
| description | Genetic variation among populations within plant species can have huge impact on canopy biochemistry and structure across broad spatial scales. Since canopy spectral reflectance is determined largely by canopy biochemistry and structure, spectral reflectance can be used as a means to capture the variability of th genetic characteristics of plant species. In this study, we used spectral measurements of Bermuda grass [<i>Cynodon dactylon</i> (L.) Pers.] at both the leaf and canopy levels to characterize the variability of plant traits pertinent to phylogeographic variation along the longitudinal and latitudinal gradients. An integration of airborne multispectral and hyperspectral data allows for the exploitation of spectral variations to discriminate between the five different genotypic groups using ANOVA and RF models. We evaluated the spectral variability among high-latitude genotypic groups and other groups along the latitudinal gradients and assessed spectral variability along longitudinal gradients. Spectral difference was observed between genetic groups from the northern regions and those from other regions along the latitudinal gradient, which indicated the usefulness of spectral signatures for discriminating between genetic groups. The canopy spectral reflectance was better suited to discriminate between genotypes of Bermuda grass across multiple scales than leaf spectral data, as assessed using random forest models. The use of spectral reflectance, derived from remote sensing, for studying genetic variability across landscapes is becoming an emerging research topic, with the potential to monitor and forecast phenology, evolution and biodiversity. |
| first_indexed | 2024-03-11T08:13:12Z |
| format | Article |
| id | doaj.art-c9b2d2ac56a6407e87df25e01157c30e |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T08:13:12Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-c9b2d2ac56a6407e87df25e01157c30e2023-11-16T23:00:59ZengMDPI AGRemote Sensing2072-42922023-02-0115489610.3390/rs15040896Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral ReflectanceJingxue Zhang0Mengli Han1Liwen Wang2Minghui Chen3Chen Chen4Sicong Shen5Jiangui Liu6Chao Zhang7Jiali Shang8Xuebing Yan9College of Animal Science and Technology, Yangzhou University, Yangzhou 225000, ChinaCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225000, ChinaCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225000, ChinaCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225000, ChinaCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225000, ChinaCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225000, ChinaOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, CanadaCollege of Hydraulie Science and Engineering, Yangzhou University, Yangzhou 225000, ChinaOttawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON K1A 0C6, CanadaCollege of Animal Science and Technology, Yangzhou University, Yangzhou 225000, ChinaGenetic variation among populations within plant species can have huge impact on canopy biochemistry and structure across broad spatial scales. Since canopy spectral reflectance is determined largely by canopy biochemistry and structure, spectral reflectance can be used as a means to capture the variability of th genetic characteristics of plant species. In this study, we used spectral measurements of Bermuda grass [<i>Cynodon dactylon</i> (L.) Pers.] at both the leaf and canopy levels to characterize the variability of plant traits pertinent to phylogeographic variation along the longitudinal and latitudinal gradients. An integration of airborne multispectral and hyperspectral data allows for the exploitation of spectral variations to discriminate between the five different genotypic groups using ANOVA and RF models. We evaluated the spectral variability among high-latitude genotypic groups and other groups along the latitudinal gradients and assessed spectral variability along longitudinal gradients. Spectral difference was observed between genetic groups from the northern regions and those from other regions along the latitudinal gradient, which indicated the usefulness of spectral signatures for discriminating between genetic groups. The canopy spectral reflectance was better suited to discriminate between genotypes of Bermuda grass across multiple scales than leaf spectral data, as assessed using random forest models. The use of spectral reflectance, derived from remote sensing, for studying genetic variability across landscapes is becoming an emerging research topic, with the potential to monitor and forecast phenology, evolution and biodiversity.https://www.mdpi.com/2072-4292/15/4/896multispectral datahyperspectral datagenetic differentiationpopulationsgrass |
| spellingShingle | Jingxue Zhang Mengli Han Liwen Wang Minghui Chen Chen Chen Sicong Shen Jiangui Liu Chao Zhang Jiali Shang Xuebing Yan Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral Reflectance Remote Sensing multispectral data hyperspectral data genetic differentiation populations grass |
| title | Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral Reflectance |
| title_full | Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral Reflectance |
| title_fullStr | Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral Reflectance |
| title_full_unstemmed | Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral Reflectance |
| title_short | Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral Reflectance |
| title_sort | study of genetic variation in bermuda grass along longitudinal and latitudinal gradients using spectral reflectance |
| topic | multispectral data hyperspectral data genetic differentiation populations grass |
| url | https://www.mdpi.com/2072-4292/15/4/896 |
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