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Dario Grattapaglia

Researcher at Empresa Brasileira de Pesquisa Agropecuária

Publications -  182
Citations -  11632

Dario Grattapaglia is an academic researcher from Empresa Brasileira de Pesquisa Agropecuária. The author has contributed to research in topics: Population & Genome. The author has an hindex of 51, co-authored 175 publications receiving 10287 citations. Previous affiliations of Dario Grattapaglia include University of Brasília & North Carolina State University.

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Genetic linkage maps of Eucalyptus grandis and Eucalyptus urophylla using a pseudo-testcross: mapping strategy and RAPD markers

TL;DR: The combined use of RAPD markers and the pseudo-testcross configuration is proposed as a general strategy for the construction of single individual genetic linkage maps in outbred forest trees as well as in any highly heterozygous sexually reproducing living organisms.
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The genome of Eucalyptus grandis

Alexander Andrew Myburg, +87 more
- 19 Jun 2014 - 
TL;DR: Of 36,376 predicted protein-coding genes, 34% occur in tandem duplications, the largest proportion thus far in plant genomes, which shows the highest diversity of genes for specialized metabolites such as terpenes that act as chemical defence and provide unique pharmaceutical oils.
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High-throughput gene and SNP discovery in Eucalyptus grandis, an uncharacterized genome

TL;DR: It is demonstrated that SNPs sampled in large-scale with 454 pyrosequencing can be used to detect evolutionary signatures among genes, providing one of the first genome-wide assessments of nucleotide diversity and Ka/Ks for a non-model plant species.
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Agriculture: Feeding the future

Susan R. McCouch, +46 more
- 03 Jul 2013 - 
TL;DR: Humanity depends on fewer than a dozen of the approximately 300,000 species of flowering plants for 80% of its caloric intake and capitalize on only a fraction of the genetic diversity that resides within each of these species.
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Genomic selection in forest tree breeding

TL;DR: The cautiously optimistic outlook is that GS has great potential to accelerate tree breeding, however, further simulation studies and proof-of-concept experiments of GS are needed before recommending it for operational implementation.