Study of Genetic Variation in Bermuda Grass along Longitudinal and Latitudinal Gradients Using Spectral Reflectance

被引:5
作者
Zhang, Jingxue [1 ]
Han, Mengli [1 ]
Wang, Liwen [1 ]
Chen, Minghui [1 ]
Chen, Chen [1 ]
Shen, Sicong [1 ]
Liu, Jiangui [2 ]
Zhang, Chao [3 ]
Shang, Jiali [2 ]
Yan, Xuebing [1 ]
机构
[1] Yangzhou Univ, Coll Anim Sci & Technol, Yangzhou 225000, Peoples R China
[2] Agr & Agrifood Canada, Ottawa Res & Dev Ctr, Ottawa, ON K1A 0C6, Canada
[3] Yangzhou Univ, Coll Hydraulie Sci & Engn, Yangzhou 225000, Peoples R China
基金
中国国家自然科学基金;
关键词
multispectral data; hyperspectral data; genetic differentiation; populations; grass; IMAGING SPECTROSCOPY; VEGETATION INDEXES; PHYLOGENETIC ANALYSIS; CHLOROPHYLL CONTENT; LEAF; PLANT; CLASSIFICATION; BIODIVERSITY; ALGORITHMS; DIVERSITY;
D O I
10.3390/rs15040896
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 [Cynodon dactylon (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.
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页数:16
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