Publications

2024, to be continued!

Pre-prints

Peer reviewed

2023 Cover crop cultivars and species differ in root traits potentially impacting their selection for ecosystem services. Wong, K.M., Griffiths, M., Moran A, Johnston, A., Liu, A.E., Sellers, M.A., & Topp, C.N. (2023). Plant and Soil

2023 A temporal analysis and response to nitrate availability of 3D root system architecture in diverse pennycress (Thlaspi arvense L.) accessions. Griffiths, M., Liu, E.A., Gunn, S.L., Mutan, N.M., Morales, E.Y. & Topp, C.N. (2023). Frontiers in Plant Science

2022 X-ray CT reveals 4D root system development and lateral root responses to nitrate in soil Griffiths M, Mellor N, Sturrock CJ, Atkinson B, Johnson J, Mairhofer S, York LM, Atkinson JA, Soltaninejad M, Foulkes JF, Pound MP, Mooney SJ, Pridmore TP, Bennett MJ, Wells DM. The Plant Phenome Journal

2022 Whole-plant phenotypic engineering: Moving beyond ratios for multi-objective optimization of nutrient use efficiency York LM, Griffiths M, Tai McClellanMaaz. Current Opinion in Biotechnology 75, 102682

2022 Optimisation of root traits to provide enhanced ecosystem services in agricultural systems: a focus on cover crops Griffiths M, Delory BM, Jawahir V, Wong KM, Bagnall GC, Dowd TG, Nusinow DA , Miller AJ, Topp CN. Plant Cell Environment

2022 Application of synthetic peptide CEP1 increases nutrient uptake rates along plant roots Roy S#, Griffiths M#, Torres-Jerez I, Sanchez B, Antonelli E, Jain D, Krom N, Zhang S, York LM, Scheible WR, Udvard MK. Frontiers in Plant Science

2022 Interactions among rooting traits for deep water and nitrogen uptake in upland and lowland ecotypes of switchgrass (Panicum virgatum L.) Griffiths M, Wang X, Dhakal K, Guo H, Seethepalli A, Kang Y, York LM. Journal of Experimental Botany

2022 Identification of QTL and underlying genes for root system architecture associated with nitrate nutrition in hexaploid wheat Griffiths M, Atkinson JA, Gardiner LJ, Swarup R, Pound MP, Wilson MH, Bennett MJ, Wells DM. Journal of Integrative Agriculture

2021 RhizoVision Explorer: Open-source software for root image analysis and measurement standardization Seethepalli A, Dhakal K, Griffiths M, Guo H, Freschet GT, York LM. AoB PLANTS

2021 A multiple ion-uptake phenotyping platform reveals shared mechanisms affecting nutrient uptake by roots Griffiths M, Roy S, Guo H, Seethepalli A, Huhman D, Ge Y, Sharp RE, Fritschi FB, York LM. Plant Physiology

2021 Functional phenomics and genetics of the root economics space in winter wheat using high-throughput phenotyping of respiration and architecture Guo H, Ayalew H, Seethepalli A, Dhakal K, Griffiths M, Ma X, York LM. New Phytologist

2021 Dark Respiration Measurement from Arabidopsis Shoots Fonseca J, Griffiths M, York LM, Mysore K. Bio-protocol

2020 A 3D print repository for plant phenomics Griffiths M.
Plant Phenomics

2020 Iron–Sulfur Cluster Protein NITROGEN FIXATION S-LIKE1 and Its Interactor FRATAXIN Function in Plant Immunity Fonseca JP, Lee HK, Boschiero C, Griffiths M, Lee S, Zhao P, York LM, Mysore KS. Plant Physiology

2020 Three Dimensional Root CT Segmentation using Multi-Resolution Encoder-Decoder Networks Soltaninejad M, Sturrock CJ, Griffiths M, Pridmore TP, Pound MP. IEEE Transactions on Image Processing

2020 Targeting root ion uptake kinetics to increase plant productivity and nutrient use efficiency Griffiths M & York LM. Plant Physiology

2020 RhizoVision Crown: An Integrated Hardware and Software Platform for Root Crown Phenotyping Seethepalli A, Guo H, Liu X, Griffiths M, Almtarfi H, Li Z, Liu S, Zare A, Fritschi F, Blancaflor E, Ma X, York LM. Plant Phenomics

2018 Identifying wheat root traits and regulatory genes for nitrogen uptake efficiency Griffiths M, Bennett MJ, Wells DM. PhD Thesis

2017 Shaping 3D root system architecture Morris EC, Griffiths M, Golebiowska A, Mairhofer S, Burr-Hersey J, Goh T, von Wangenheim D, Atkinson B, Sturrock SJ, Lynch JP, Vissenberg K, Ritz K, Wells DM, Mooney SJ, Bennett MJ. Current Biology

2017 Combining semi-automated image analysis techniques with machine learning algorithms to accelerate large scale genetic studies. Atkinson JA, Lobet G, Noll M, Meyer PE, Griffiths M, Wells DM. GigaScience gix084

2017 Deep machine learning provides state-of-the-art performance in image-based plant phenotyping. Pound MP, Atkinson JA, Townsend AJ, Wilson MH, Griffiths M, Jackson AS, Bulat A, Tzimiropoulos G, Wells DM, Murchie EH, Pridmore TP, French AP. GigaScience gix083

2017 OpenSimRoot: widening the scope and application of root architectural models. Postma JA, Kuppe C, Owen MR, Mellor N, Griffiths M, Bennett MJ, Lynch JP, Watt M. New Phytologist 215

2015 Phenotyping pipeline reveals major seedling root growth QTL in hexaploid wheat. Atkinson JA, Wingen LU, Griffiths M, Pound MP, Oorbessy G, Foulkes MJ, Le Gouis J, Griffiths S, Bennett MJ, Julie K, Wells DM. Journal of Experimental Botany 66

Citations

Source: Google Scholar