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Bettina Berger
Researcher at University of Adelaide
Publications - 72
Citations - 3719
Bettina Berger is an academic researcher from University of Adelaide. The author has contributed to research in topics: Salinity & Population. The author has an hindex of 25, co-authored 63 publications receiving 2946 citations. Previous affiliations of Bettina Berger include University of Cologne & University of Cambridge.
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The R2R3‐MYB transcription factor HAG1/MYB28 is a regulator of methionine‐derived glucosinolate biosynthesis in Arabidopsis thaliana
TL;DR: Expression of HAG1/MYB28 was significantly induced by glucose, indicating a novel transcriptional regulatory mechanism for the integration of carbohydrate availability upon biotic challenge, and it is hypothesized that H AG1/ MYB28 is a novel regulator of aliphatic glucosinolate biosynthesis that controls the response to biotic challenges.
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The transcription factor HIG1/MYB51 regulates indolic glucosinolate biosynthesis in Arabidopsis thaliana.
Tamara Gigolashvili,Bettina Berger,Hans-Peter Mock,Caroline Müller,Bernd Weisshaar,Ulf-Ingo Flügge +5 more
TL;DR: In this article, an Arabidopsis thaliana activation-tagged line, displaying altered levels of secondary metabolites, was shown to be affected in the content of indolic and aliphatic glucosinolates.
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High-throughput shoot imaging to study drought responses
TL;DR: High-throughput imaging provides a valuable new tool which allows the dissection of plant responses to drought into a series of component traits, and the high-throughPUT phenotyping techniques available to measure those traits are described in this paper.
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Accurate inference of shoot biomass from high-throughput images of cereal plants.
Mahmood Reza Golzarian,Ross A Frick,Karthika Rajendran,Bettina Berger,Stuart J. Roy,Mark Tester,Desmond S. Lun,Desmond S. Lun +7 more
TL;DR: A method based on plant specific weight for improving the accuracy of the linear model and reducing the estimation bias is proposed, which indicates that the proposed method can be used to estimate biomass of individual plants regardless of what variety the plant is and what salt treatment has been applied.
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High-throughput phenotyping to detect drought tolerance QTL in wild barley introgression lines
TL;DR: High correlation between image based biomass estimates and actual biomass estimates was demonstrated, and the suitability of the system to accurately and non-destructively estimate biomass was validated, and quantitative trait loci (QTL) were located, which contributed to the genetic control of growth under drought stress.