e points (every ~7 days starting from 53 to 138 days after sowing). The trials were performed using a randomized block design with five replications in each growing season: 2015–2016 and 2016–2017. The screening generated a total of 1.62 terabytes of RGB images (16,986,93 images; PNG format), which are available in a database ( http://plantphenomics.hzau.edu.cn/search_rape.action , 2015‐2016‐QTL and 2016‐2017‐QTL). A movie of the growth of the recurrent parent and two select ISLs is shown in Movies [Link] , [Link] , [Link] . The inspected lines and inspection dates are shown in Table S1 , where T1‐T12 represent the twelve time points. In our greenhouse experiment, the final yield per plant w
Open resource ↗plantphenomics.hzau.edu.cn · lines:165-171Unverified paper record
High-throughput phenotyping accelerates the dissection of the dynamic genetic architecture of plant growth and yield improvement in rapeseed.
Plant Biotechnology Journal · 5 May 2020 · 10.1111/pbi.13396
Abstract
Rapeseed is the second most important oil crop species and is widely cultivated worldwide. However, overcoming the 'phenotyping bottleneck' has remained a significant challenge. A clear goal of high-throughput phenotyping is to bridge the gap between genomics and phenomics. In addition, it is important to explore the dynamic genetic architecture underlying rapeseed plant growth and its contribution to final yield. In this work, a high-throughput phenotyping facility was used to dynamically screen a rapeseed intervarietal substitution line population during two growing seasons. We developed an automatic image analysis pipeline to quantify 43 dynamic traits across multiple developmental stages, with 12 time points. The time-resolved i-traits could be extracted to reflect shoot growth and predict the final yield of rapeseed. Broad phenotypic variation and high heritability were observed for these i-traits across all developmental stages. A total of 337 and 599 QTLs were identified, with 33.5% and 36.1% consistent QTLs for each trait across all 12 time points in the two growing seasons, respectively. Moreover, the QTLs responsible for yield indicators colocalized with those of final yield, potentially providing a new mechanism of yield regulation. Our results indicate that high-throughput phenotyping can provide novel insights into the dynamic genetic architecture of rapeseed growth and final yield, which would be useful for future genetic improvements in rapeseed.
Plant phenotyping relevance
アブラナの高スループット表現型解析施設を用い、自動画像解析パイプラインを開発して43の動的形質を定量化しており、表現型取得・抽出手法が研究の中心である。
abstracta high-throughput phenotyping facility was used to dynamically screen a rapeseed intervarietal substitution line population during two growing seasons.
abstractWe developed an automatic image analysis pipeline to quantify 43 dynamic traits across multiple developmental stages, with 12 time points.
Code and data availability
The paper explicitly deposits its rapeseed phenotyping data (RGB images, genotypic and phenotypic i-trait data for both growing seasons) in the HZAU plant phenomics database, and its image analysis pipeline source code (LabVIEW, DLL, cpp, test images) on the first author's public GitHub repositories. Both are paper-‐‑
easons in this study are available at http://plantphenomics.hzau.edu.cn/search_rape.action under the sections 2015‐2016‐QTL and 2016‐2017‐QTL. The phenotypic data are also shown in Table S13 . All the source code, including that of LabVIEW programs, the dynamic link library, cpp documents and test images, can be downloaded from https://github.com/fenghuifh2006?tab=repositories . Conflicts of interest The authors declare that they have no conflicts of interest. Author Contributions H.L., H.F. and W.Y. performed the experiments, analysed the data and wrote the manuscript. C.G., S.Y., W.H., X.X., J.L. G.C. and Q.L. assisted in the data analysis and database information construction. W.Y., L.X.
Open resource ↗github.com/fenghuifh2006 · lines:189-223This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.