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Chris Brien

Researcher at University of Adelaide

Publications -  94
Citations -  2181

Chris Brien is an academic researcher from University of Adelaide. The author has contributed to research in topics: Population & Salinity. The author has an hindex of 24, co-authored 86 publications receiving 1685 citations. Previous affiliations of Chris Brien include Australian Centre for Plant Functional Genomics & University of South Australia.

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Salinity tolerance loci revealed in rice using high-throughput non-invasive phenotyping

TL;DR: This model allows the identification of previously undetected loci affecting TUE on chromosome 11, providing insights into the early responses of rice to salinity, in particular into the effects of salinity on plant growth and transpiration.
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Integrating Image-Based Phenomics and Association Analysis to Dissect the Genetic Architecture of Temporal Salinity Responses in Rice

TL;DR: A new approach to capture the dynamic plant responses to its environment and elucidate the genetic basis of these responses using a longitudinal genome-wide association model is presented.
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Three-dimensional analysis of active cervical motion: the effect of age and gender

TL;DR: In this article, the effects of age and gender on three-dimensional (3D) active cervical spine motion were investigated using the 3D Isotrak system, which was used to measure simultaneous 3D motion of the cervical spine.
Journal Article

Canopy microclimate modification for the cultivar Shiraz II. Effects on must and wine composition

TL;DR: In this paper, the degree of shading in Shiraz grapevine canopies was varied by four treatments and a naturally occurring vigour gradient, and the results correlated with must sugar, pH and K, and wine pH, acidity, K, colour density, total and ionised anthocyanins and phenol content.
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Exploring genetic variation for salinity tolerance in chickpea using image-based phenotyping.

TL;DR: This study proposes seed number as a selection trait in breeding salt tolerant chickpea cultivars with moderate to strong correlation was observed for different traits measured between glasshouse and two field sites indicating that the glasshouse assays are relevant to field performance.