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Janet A. Condie

Researcher at National Research Council

Publications -  17
Citations -  3645

Janet A. Condie is an academic researcher from National Research Council. The author has contributed to research in topics: Nucleic acid sequence & Gene. The author has an hindex of 10, co-authored 17 publications receiving 2707 citations.

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Shifting the limits in wheat research and breeding using a fully annotated reference genome

Rudi Appels, +207 more
- 17 Aug 2018 - 
TL;DR: This annotated reference sequence of wheat is a resource that can now drive disruptive innovation in wheat improvement, as this community resource establishes the foundation for accelerating wheat research and application through improved understanding of wheat biology and genomics-assisted breeding.
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Draft genome sequence of chickpea ( Cicer arietinum ) provides a resource for trait improvement

TL;DR: This work reports the ∼738-Mb draft whole genome shotgun sequence of CDC Frontier, a kabuli chickpea variety, which contains an estimated 28,269 genes, and identifies targets of both breeding-associated genetic sweeps and breeding- associated balancing selection.
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Polyploid Evolution of the Brassicaceae during the Cenozoic Era

TL;DR: The synchronized diversification of Brassicaceae species suggests that polyploid events may have conferred higher adaptability and increased tolerance toward the drastically changing global environment, thus facilitating species radiation.
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Isolation, expression and phylogenetic inheritance of an acetolactate synthase gene from Brassica napus.

TL;DR: It is concluded that the B. napus gene isolated here originated in B. campestris, and was re-introduced into plants, using Agrobacterium vectors, producing a herbicide-resistant phenotype which is characteristic of the predicted gene product.
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Gene-based SNP discovery and genetic mapping in pea

TL;DR: The development of a genome-wide transcriptome-based pea single-nucleotide polymorphism (SNP) marker platform establishes a foundation for future molecular breeding efforts by enabling both the identification and tracking of introgression of genomic regions harbouring QTLs related to agronomic and seed quality traits.