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Weizhen Liu

Researcher at Wuhan University of Technology

Publications -  19
Citations -  235

Weizhen Liu is an academic researcher from Wuhan University of Technology. The author has contributed to research in topics: Medicine & Genome. The author has an hindex of 5, co-authored 15 publications receiving 105 citations. Previous affiliations of Weizhen Liu include Washington State University & Cornell University.

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Novel Sources of Stripe Rust Resistance Identified by Genome-Wide Association Mapping in Ethiopian Durum Wheat (Triticum turgidum ssp. durum).

TL;DR: This study reports effective sources of resistance to contemporary races in Ethiopia and the United States and reveals that Ethiopian durum wheat landraces are abundant in novel Pst resistance loci that may be transferred into adapted cultivars to provide resistance against Pst.
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Genome-wide association mapping reveals a rich genetic architecture of stripe rust resistance loci in emmer wheat (Triticum turgidum ssp. dicoccum)

TL;DR: SNP-based genome scanning in worldwide domesticated emmer germplasm showed high genetic diversity, rapid linkage disequilibrium decay and 51 loci for stripe rust resistance, a large proportion of which were novel.
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Chromosome-scale genome assembly of sweet cherry (Prunus avium L.) cv. Tieton obtained using long-read and Hi-C sequencing

TL;DR: The chromosome-scale assembly ofsweet cherry revealed that gene duplication events contributed to the expansion of gene families for salicylic acid/jasmonic acid carboxyl methyltransferase and ankyrin repeat-containing proteins in the genome of sweet cherry.
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Genome-wide association mapping for seedling and field resistance to Puccinia striiformis f. sp. tritici in elite durum wheat

TL;DR: This GWAS study is the first of its kind for stripe rust resistance in tetraploid wheat and provides an overview of resistance in elite germplasm and reports new loci that can be used in breeding resistant cultivars.
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High-Throughput Phenotyping of Morphological Seed and Fruit Characteristics Using X-Ray Computed Tomography.

TL;DR: The methods provide robust and novel tools for phenotyping the morphological seed and fruit traits of various plant species, which could benefit crop breeding and functional genomics.