Genetic constraints on in-situ reflectance spectral variation in bermudagrass populations across Hainan Island

作者：Jingxue Zhang, Jiali Shang, Jiangui Liu, Liwen Wang, Mengli Han, Minghui Chen, Chen Chen, Yuhong He, Xuebing Yan · 发表于：Plant Phenomics · 年份：2026 · DOI：10.1016/j.plaphe.2026.100168 · 研究领域：Turfgrass Adaptation and Management、Marine and coastal plant biology、Remote Sensing in Agriculture

) populations on Hainan Island and experimental common garden to investigate genetic constraints on spectral variation. We assessed relationships between genetic information and spectral signatures through Partial Mantel Tests and Partial Least Squares Discriminant Analysis (PLS-DA). Leaf spectral-genetic correlations (r = 0.4-0.7; P < 0.05) were detected significantly in the SWIR region between 1900 and 2400 nm, underscoring the role of ecological heterogeneity in shaping adaptive spectral traits. Environmental covariates including annual mean temperature, total annual precipitation, elevation, mean solar radiation, mean water vapor content, presented significant liner correlation (r > 0.4, p < 0.05) with leaf spectral-genetic similarity, which revealed that we disentangled SWIR bands as heritable spectral signals from plastic phenotypic responses. PLS-DA achieved a higher accuracy in classifying populations using natural leaf spectra (Accuracy = 86.76 %; Kappa = 0.86) than using canopy data (Accuracy = 41.74 %; Kappa = 0.37), which is influenced by canopy structure. Our findings highlight that integrating spectral-genetic similarity with environmental drivers can identify inheritable spectral signals, providing a pathway for monitoring the adaptive evolution of biodiversity using remote sensing under rapid global change.