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您的检索式：作者名="Marcus Griffiths"
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| 1 | RhizoVision Crown:An Integrated Hardware and Software Platform for Root Crown Phenotyping显示文摘Root crown phenotyping measures the top portion of crop root systems and can be used for marker-assisted breeding,genetic mapping,and understanding how roots influence soil resource acquisition.Several imaging protocols and image analysis programs exist,but they are not optimized for high-throughput,repeatable,and robust root crown phenotyping.The RhizoVision Crown platform integrates an imaging unit,image capture software,and image analysis software that are optimized for reliable extraction of measurements from large numbers of root crowns.The hardware platform utilizes a backlight and a monochrome machine vision camera to capture root crown silhouettes.The RhizoVision Imager and RhizoVision Analyzer are free,open-source software that streamline image capture and image analysis with intuitive graphical user interfaces.The RhizoVision Analyzer was physically validated using copper wire,and features were extensively validated using 10,464 groundtruth simulated images of dicot and monocot root systems.This platform was then used to phenotype soybean and wheat root crowns.A total of 2,799 soybean(Glycine max)root crowns of 187 lines and 1,753 wheat(Triticum aestivum)root crowns of 186 lines were phenotyped.Principal component analysis indicated similar correlations among features in both species.The maximum heritability was 0.74 in soybean and 0.22 in wheat,indicating that differences in species and populations need to be considered.The integrated RhizoVision Crown platform facilitates high-throughput phenotyping of crop root crowns and sets a standard by which open plant phenotyping platforms can be benchmarked. | Anand Seethepalli Haichao Guo Xiuwei Liu Marcus Griffiths Hussien Almtarfi Zenglu Li Shuyu Liu Alina Zare Felix B.Fritschi Elison B.Blancaflor Xue-Feng Ma Larry M.York | 2020 | Plant Phenomics2020，2，1： | 2 |
| 2 | Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat显示文摘The root system architecture(RSA) of a crop has a profound effect on the uptake of nutrients and consequently the potential yield. However, little is known about the genetic basis of RSA and resource adaptive responses in wheat(Triticum aestivum L.). Here, a high-throughput germination paper-based plant phenotyping system was used to identify seedling traits in a wheat doubled haploid mapping population, Savannah×Rialto. Significant genotypic and nitrate-N treatment variation was found across the population for seedling traits with distinct trait grouping for root size-related traits and root distribution-related traits. Quantitative trait locus(QTL) analysis identified a total of 59 seedling trait QTLs. Across two nitrate treatments, 27 root QTLs were specific to the nitrate treatment. Transcriptomic analyses for one of the QTLs on chromosome 2 D, which was found under low nitrate conditions, revealed gene enrichment in N-related biological processes and 28 differentially expressed genes with possible involvement in a root angle response. Together, these findings provide genetic insight into root system architecture and plant adaptive responses to nitrate, as well as targets that could help improve N capture in wheat. | Marcus GRIFFITHS Jonathan A.ATKINSON Laura-Jayne GARDINER Ranjan SWARUP Michael P.POUND Michael H.WILSON Malcolm J.BENNETT Darren M.WELLS | 2022 | Journal of Integrative Agriculture2022，21，4： | 0 |
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