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利用高分辨率 RGB 和多光谱成像技术鉴定新的耐寒结缕草品种。

Identification of new cold tolerant Zoysia grass species using high-resolution RGB and multi-spectral imaging.

机构信息

Department of Plant Resources and Environment, Jeju National University, Jeju, 63243, Republic of Korea.

Department of Practical Arts Education, Cheongju National University of Education, Cheongju, 28708, Republic of Korea.

出版信息

Sci Rep. 2023 Aug 14;13(1):13209. doi: 10.1038/s41598-023-40128-2.

DOI:10.1038/s41598-023-40128-2
PMID:37580436
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10425389/
Abstract

Zoysia grass (Zoysia spp.) is the most widely used warm-season turf grass in Korea due to its durability and resistance to environmental stresses. To develop new longer-period greenness cultivars, it is essential to screen germplasm which maintains the greenness at a lower temperature. Conventional methods are time-consuming, laborious, and subjective. Therefore, in this study, we demonstrate an objective and efficient method to screen maintaining longer greenness germplasm using RGB and multispectral images. From August to December, time-series data were acquired and we calculated green cover percentage (GCP), Normalized Difference Vegetation Index (NDVI), Normalized Difference Red Edge Index (NDRE), Soil-adjusted Vegetation Index (SAVI), and Enhanced Vegetation Index (EVI) values of germplasm from RGB and multispectral images by applying vegetation indexs. The result showed significant differences in GCP, NDVI, NDRE, SAVI, and EVI among germplasm (p < 0.05). The GCP, which evaluated the quantity of greenness by counting pixels of the green area from RGB images, exhibited maintenance of greenness over 90% for August and September but, sharply decrease from October. The study found significant differences in GCP and NDVI among germplasm. san208 exhibiting over 90% GCP and high NDVI values during 153 days. In addition, we also conducted assessments using various vegetation indexes, namely NDRE, SAVI, and EVI. san208 exhibited NDRE levels exceeding 3% throughout this period. As for SAVI, it initially started at approximately 38% and gradually decreased to around 4% over the course of these days. Furthermore, for the month of August, it recorded approximately 6%, but experienced a decline from about 9% to 1% between September and October. The complementary use of both indicators could be an efficient method for objectively assessing the greenness of turf both quantitatively and qualitatively.

摘要

结缕草（Zoysia spp.）因其耐久性和对环境胁迫的抵抗力而成为韩国最广泛使用的暖季草坪草。为了开发新的更长绿期的品种，筛选在较低温度下保持绿色的种质资源是必不可少的。传统的方法耗时、费力且主观。因此，在这项研究中，我们展示了一种使用 RGB 和多光谱图像筛选保持更长绿色种质资源的客观、高效的方法。从 8 月到 12 月，我们获取了时间序列数据，并通过应用植被指数，从 RGB 和多光谱图像中计算种质的绿色覆盖率（GCP）、归一化差异植被指数（NDVI）、归一化差异红边指数（NDRE）、土壤调整植被指数（SAVI）和增强植被指数（EVI）值。结果表明，不同种质资源之间的 GCP、NDVI、NDRE、SAVI 和 EVI 存在显著差异（p<0.05）。GCP 通过计算 RGB 图像中绿色区域的像素数量来评估绿色数量，它在 8 月和 9 月保持 90%以上的绿色度，但从 10 月开始急剧下降。研究发现，不同种质资源之间的 GCP 和 NDVI 存在显著差异。san208 在 153 天内保持超过 90%的 GCP 和高 NDVI 值。此外，我们还使用各种植被指数（即 NDRE、SAVI 和 EVI）进行了评估。san208 在整个时期内的 NDRE 水平均超过 3%。至于 SAVI，它最初约为 38%，随后逐渐降至约 4%。此外，在 8 月，它记录了约 6%，但在 9 月和 10 月之间从约 9%下降到 1%。这两种指标的互补使用可能是一种客观评估草坪草绿色度的有效方法，既可以定量评估，也可以定性评估。

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