Seeing the wood for the trees:hyperspectral imaging for high throughput QTL detection in raspberry,a perennial crop species
作者机构：James Hutton InstituteErrol RoadDundee DD25DAUK Biomathematics and Statistics ScotlandInvergowrieDundee DD25DAUK James Hutton LimitedErrol RoadDundee DD25DAUK
出 版 物：《Fruit Research》 (果树研究（英文）)
年 卷 期：2021年第1卷第1期
页 面：57-67页
基 金：supported by Innovate UK(grant No.102130) the Scottish Government Rural and Environment Science and Analytical Services Division(RESAS)through the strategic research program and the Underpinning Capacity project‘Maintenance of Insect Pest Collections'
主 题：breeding consuming overcome
摘 要：Physiological and physical traits are excellent indicators of many crop characteristics,but precise phenotyping of these traits is time consuming and,therefore,limits progress in crop breeding and the speed of crop *** imaging offers an opportunity to overcome these barriers as a technique for high throughput field *** a recently developed hyperspectral imaging platform devised for plantations of the perennial crop raspberry,this study aimed to further develop the tool and test its capacity as an innovative approach for high throughput field phenotyping,data collection and *** imaging and visual crop assessments were carried out over two growing seasons in a field-grown raspberry mapping population,and data were subject to Quantitative Trait Loci(QTL)*** findings show that reflectance intensity at multiple wavelengths can be linked to known genetic markers in raspberry,and many of these‘spectral traits are expressed consistently through the growing season and between years,for example spectral ratio 719 nm/691 nm shows up consistently as a QTL on *** traits were identified that co-located with previously mapped physical traits,such as 719 nm/691 nm and cane *** study indicates that hyperspectral imaging can be used as an innovative approach for high throughput field phenotyping of raspberry and could be transferred readily to other perennial *** approach provides a pipeline for automated field data collection and analysis that can be used for rapid QTL detection of spectral traits.
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