Publications by authors named "Jason Brook"

Article Synopsis
  • - The study examines the variation in rosette shape among different Arabidopsis plant accessions using a high-throughput phenotyping method that employs automatic image analysis to gather and quantify shape data over time.
  • - Researchers analyzed a set of Recombinant Inbred Lines from a genetic mapping population and discovered significant heritable variation in rosette shape, identifying over 116 chromosomal regions linked to this trait through QTL mapping.
  • - Many identified QTLs are associated with genes involved in hormonal signaling, shade avoidance, and flowering processes, indicating that rosette shape is influenced by various genetic factors and environmental pressures, making these QTLs important for future studies on plant architecture.
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Drought is a major abiotic stress that limits crop productivity and is driving the need to introduce new tolerant crops with better economic yield. Tef (Eragrostis tef) is a neglected (orphan) Ethiopian warm-season annual gluten-free cereal with high nutritional and health benefits. Further, tef is resilient to environmental challenges such as drought, but the adaptive mechanisms remain poorly understood.

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We present an image processing method for accurately segmenting crop plots from Unmanned Aerial System imagery (UAS). The use of UAS for agricultural monitoring has increased significantly, emerging as a potentially cost effective alternative to manned aerial surveys and field work for remotely assessing crop state. The accurate segmentation of small densely-packed crop plots from UAS imagery over extensive areas is an important component of this monitoring activity in order to assess the state of different varieties and treatment regimes in a timely and cost-effective manner.

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The incorporation of new sophisticated phenotyping technologies within a crop improvement program allows for a plant breeding strategy that can include selections for major root traits previously inaccessible due to the challenges in their phenotype assessment. High-throughput precision phenotyping technology is employed to evaluate root ontogeny and progressive changes to root architecture of both novel amphiploid and introgression lines of over four consecutive months of the growing season and these compared under the same time frame to that of closely related perennial ryegrass () varieties. Root imaging using conventional photography and assembled multiple merged images was used to compare frequencies in root number, their distribution within 0-20 and 20-40 cm depths within soil columns, and progressive changes over time.

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