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Genomic prediction offers the most effective marker assisted breeding approach for ability to prevent arsenic accumulation in rice grains

Julien Frouin, Axel Labeyrie, Arnaud Boisnard, Gian Attilio Sacchi, Nourollah Ahmadi
doi: https://doi.org/10.1101/452276

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doi 
https://doi.org/10.1101/452276
History 
  • October 24, 2018.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Julien Frouin1,2,
  2. Axel Labeyrie1,2,
  3. Arnaud Boisnard4,
  4. Gian Attilio Sacchi3 and
  5. Nourollah Ahmadi1,2,*
  1. 1CIRAD, UMR AGAP, F-34398 Montpellier, France.
  2. 2AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
  3. 3Università degli Studi di Milano, Via Celoria 2, 20133 Milano, Italy.
  4. 4Centre Français du Riz, Mas du Sonnailler, 13200 Arles, France.
  1. ↵* Correspondence: Nourollah Ahmadi, E-mail: nourollah.ahmadi{at}cirad.fr, Phone number: (33) 4 67 61 57 41
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Posted October 24, 2018.
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Genomic prediction offers the most effective marker assisted breeding approach for ability to prevent arsenic accumulation in rice grains
Julien Frouin, Axel Labeyrie, Arnaud Boisnard, Gian Attilio Sacchi, Nourollah Ahmadi
bioRxiv 452276; doi: https://doi.org/10.1101/452276
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