Genetic selection for spatial and temporal characteristics of root growth in plants using a highthroughput phenotyping platform

Kelly, Alison;Paccapelo, Valeria;Christopher, Jack;Chenu, Karine;Draye, Xavier;et.al.
(2020) International Biometrics Conference — Location: Seoul (6.July.2020)

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Authors
  • Kelly, Alison
    Author
  • Paccapelo, Valeria
    Author
  • Christopher, Jack
    Author
  • Chenu, Karine
    Author
  • Thaon, PatrickUCLouvain
    Author
  • Draye, Xavierorcid-logoUCLouvain
    Author
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Abstract
A hierarchy of models has been utilised for phenotyping, including • A point process model to predict spatial intensity of root tips • Using replicated data in a linear mixed model to partition experimental design effects from genetic effects and residual errors for predicted intensity • We have developed and implemented a novel method for QTL mapping in a NAM population to determine genetic regions associated with intensity of root tips • Integration of the spatial point process into the linear mixed model can be improved – Use of weights for intensity estimates in the LMM – Incorporation of an appropriate model over time for root growth
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Kelly, A., Paccapelo, V., Christopher, J., Chenu, K., Thaon, P., & Draye, X. (2020). Genetic selection for spatial and temporal characteristics of root growth in plants using a highthroughput phenotyping platform. International Biometrics Conference, Seoul. https://hdl.handle.net/2078.5/228624