Publications by authors named "Pierre-Luc Pradier"
Article Synopsis
- - Nutrient-efficient root system architecture (RSA) is a key focus in breeding crops, specifically soybeans, to enhance nutrient and water acquisition.
- - An advanced 2D root phenotyping platform was developed, which effectively cleans images of root systems to eliminate background noise, resulting in more accurate quantification of root traits.
- - Genome-wide association studies revealed significant genetic variants linked to root traits, identifying three positive regulators that enhance root depth and volume, along with one negative regulator affecting the number of lateral roots.
A plant's ability to maintain or improve its yield under limiting conditions, such as nutrient deficiency or drought, can be strongly influenced by root system architecture (RSA), the three-dimensional distribution of the different root types in the soil. The ability to image, track and quantify these root system attributes in a dynamic fashion is a useful tool in assessing desirable genetic and physiological root traits. Recent advances in imaging technology and phenotyping software have resulted in substantive progress in describing and quantifying RSA.
View Article and Find Full Text PDFRoot systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability.
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