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Sacha J. Mooney

Researcher at University of Nottingham

Publications -  194
Citations -  8693

Sacha J. Mooney is an academic researcher from University of Nottingham. The author has contributed to research in topics: Soil structure & Soil water. The author has an hindex of 44, co-authored 181 publications receiving 6473 citations. Previous affiliations of Sacha J. Mooney include University College Dublin & Kobe University.

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Book ChapterDOI

Understanding and Reducing Lodging in Cereals

TL;DR: The prospects for continuing to reduce lodging risk through the selection of shorter genotypes may be limited and there does appear to be significant scope for increasing lodging resistance by strengthening the stem and the anchorage system by exploiting the wide genetic variation in these plant characters and through crop management decisions.
Journal ArticleDOI

Developing X-ray Computed Tomography to non-invasively image 3-D root systems architecture in soil

TL;DR: It is concluded that CT is well placed to contribute significantly to unravelling the complex interactions between roots and soil.
Journal ArticleDOI

Plant roots use a patterning mechanism to position lateral root branches toward available water

TL;DR: It is discovered that plant roots can sense microscale heterogeneity in water availability across their circumference, which causes dramatic differences in the patterning of tissues along this axis, which suggests that water availability is sensed and interpreted at the suborgan level and locally patterns a wide variety of developmental processes in the root.
Journal ArticleDOI

Assessing the effectiveness of actions to mitigate nutrient loss from agriculture: a review of methods.

TL;DR: The attributes and usefulness of different approaches (direct measurement, nutrient budgeting, risk assessment and modelling) to assess the efficacy of actions to mitigate sources and transport of nitrogen (N) and phosphorus (P) from agricultural land to water are compared.
Journal ArticleDOI

RooTrak: automated recovery of three-dimensional plant root architecture in soil from x-ray microcomputed tomography images using visual tracking.

TL;DR: The development of automatic root segmentation methods and software that view μCT data as a sequence of images through which root objects appear to move as the x-y cross sections are traversed along the z axis of the image stack are reported.