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Andy Greenland

Researcher at National Institute of Agricultural Botany

Publications -  35
Citations -  1647

Andy Greenland is an academic researcher from National Institute of Agricultural Botany. The author has contributed to research in topics: Gene & Population. The author has an hindex of 17, co-authored 35 publications receiving 1329 citations.

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Application of genomics-assisted breeding for generation of climate resilient crops: Progress and prospects

TL;DR: The present review elaborates the progress and prospects of GAB for improving climate change resilience in crops, which is likely to play an ever increasing role in the effort to ensure global food security.
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Global agricultural intensification during climate change: a role for genomics.

TL;DR: The state of the art of genomic‐assisted breeding for the most important staples that feed the world is reviewed, and how to use and adapt such genomic tools to accelerate development of both major and minor crops with desired traits that enhance adaptation to, or mitigate the effects of climate change is reviewed.
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An Eight-Parent Multiparent Advanced Generation Inter-Cross Population for Winter-Sown Wheat: Creation, Properties, and Validation

TL;DR: Analysis show this large, diverse, and highly recombined MAGIC population to be a powerful resource for the genetic dissection of target traits in wheat, and it is well-placed to efficiently exploit ongoing advances in phenomics and genomics.
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Genetic and physiological analysis of Rht8 in bread wheat: an alternative source of semi-dwarfism with a reduced sensitivity to brassinosteroids

TL;DR: Morphological analyses and Physiological experiments show that the semi-dwarf phenotype of Rht8 lines is due to shorter internodal segments along the wheat culm, achieved through reduced cell elongation, and that the very high resolution potential of the plant material generated is crucial for the eventual cloning of RHT8.
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Applying association mapping and genomic selection to the dissection of key traits in elite European wheat

TL;DR: The application of association mapping and genomic selection for key breeding targets using a large panel of elite winter wheat varieties and a large volume of agronomic data suggests that whilst AM offers potential for application in both research and breeding, GS represents an exciting opportunity to select key traits.