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The SoyaGen Project: Putting Genomics to Work for Soybean Breeders.
Belzile, François; Jean, Martine; Torkamaneh, Davoud; Tardivel, Aurélie; Lemay, Marc-André; Boudhrioua, Chiheb; Arsenault-Labrecque, Geneviève; Dussault-Benoit, Chloe; Lebreton, Amandine; de Ronne, Maxime; Tremblay, Vanessa; Labbé, Caroline; O'Donoughue, Louise; St-Amour, Vincent-Thomas Boucher; Copley, Tanya; Fortier, Eric; Ste-Croix, Dave T; Mimee, Benjamin; Cober, Elroy; Rajcan, Istvan; Warkentin, Tom; Gagnon, Éric; Legay, Sylvain; Auclair, Jérôme; Bélanger, Richard.
Afiliación
  • Belzile F; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • Jean M; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • Torkamaneh D; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • Tardivel A; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • Lemay MA; Centre de Recherche sur les Grains (CEROM), Saint-Mathieu-de-Beloeil, QC, Canada.
  • Boudhrioua C; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • Arsenault-Labrecque G; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • Dussault-Benoit C; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • Lebreton A; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • de Ronne M; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • Tremblay V; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • Labbé C; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • O'Donoughue L; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • St-Amour VB; Centre de Recherche sur les Grains (CEROM), Saint-Mathieu-de-Beloeil, QC, Canada.
  • Copley T; Département de Phytologie, Université Laval, Quebec City, QC, Canada.
  • Fortier E; Centre de Recherche sur les Grains (CEROM), Saint-Mathieu-de-Beloeil, QC, Canada.
  • Ste-Croix DT; Centre de Recherche sur les Grains (CEROM), Saint-Mathieu-de-Beloeil, QC, Canada.
  • Mimee B; Centre de Recherche sur les Grains (CEROM), Saint-Mathieu-de-Beloeil, QC, Canada.
  • Cober E; Agriculture and Agri-Food Canada, St-Jean-sur-Richelieu, QC, Canada.
  • Rajcan I; Agriculture and Agri-Food Canada, St-Jean-sur-Richelieu, QC, Canada.
  • Warkentin T; Agriculture and Agri-Food Canada, Ottawa, ON, Canada.
  • Gagnon É; Department of Plant Agriculture, University of Guelph, Guelph, ON, Canada.
  • Legay S; Department of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
  • Auclair J; Semences Prograin Inc., Saint-Césaire, QC, Canada.
  • Bélanger R; Sevita Genetics, Inkerman, ON, Canada.
Front Plant Sci ; 13: 887553, 2022.
Article en En | MEDLINE | ID: mdl-35557742
The SoyaGen project was a collaborative endeavor involving Canadian soybean researchers and breeders from academia and the private sector as well as international collaborators. Its aims were to develop genomics-derived solutions to real-world challenges faced by breeders. Based on the needs expressed by the stakeholders, the research efforts were focused on maximizing realized yield through optimization of maturity and improved disease resistance. The main deliverables related to molecular breeding in soybean will be reviewed here. These include: (1) SNP datasets capturing the genetic diversity within cultivated soybean (both within a worldwide collection of > 1,000 soybean accessions and a subset of 102 short-season accessions (MG0 and earlier) directly relevant to this group); (2) SNP markers for selecting favorable alleles at key maturity genes as well as loci associated with increased resistance to key pathogens and pests (Phytophthora sojae, Heterodera glycines, Sclerotinia sclerotiorum); (3) diagnostic tools to facilitate the identification and mapping of specific pathotypes of P. sojae; and (4) a genomic prediction approach to identify the most promising combinations of parents. As a result of this fruitful collaboration, breeders have gained new tools and approaches to implement molecular, genomics-informed breeding strategies. We believe these tools and approaches are broadly applicable to soybean breeding efforts around the world.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Plant Sci Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza