Predicting adaptation of maize landraces from genebanks by combining DNA-pool genotyping, genomic prediction and genomic offset

Abstract

Agustin Oscar Galaretto1 , Rosa Ana Malvar3 , Brigitte Gouesnard5 , Carlotta Balconi2 ,Delphine Madur1 ; Rita Redaelli2, Violeta Andjelkovic4 , Pedro Revilla3 , Cyril Bauland1 , Ana Butron3, Torri, Alessio2, Ana Maria Barata6, Natalija Kravic4, Pedro Mendes Moreira7 , Danela Murariu8, Hrvoje Šarčević9, Beate Schierscher Viret10, Morgane Vincent5, Anne Zanetto5, Bettina Kessel11, Tristan Mary-Huard1, André Pereira12, Domnica Daniela Placinta8, Alexandre Strigens13, Sandra Goritschnig14, Alain Charcosset1, Laurence Moreau1, Stéphane Nicolas1 1 Université Paris-Saclay, INRAE, CNRS, AgroParisTech, GQE - Gif-sur-Yvette, France 2 CREA- Council for Agricultural Research and Economics, Research Centre for Cereal and Industrial Crops, Bergamo, Italy 3 Misión Biológica de Galicia Consejo Superior de Investigaciones Científicas, Pontevedra, Spain; 4 Maize Research Institute Zemun Polje, Belgrade, Serbia; 5 UMR AGAP Institut, Univ Montpellier, CIRAD, INRAE, Institut Agro, Montpellier, France 6 Banco Português de Germoplasma Vegetal, S.Pedro de Merelim, Braga, Portugal 7 Agriculture School of the Polytechnic University of Coimbra (IPC-ESAC) and CERNAS – Research Centre for Natural Resources, Environment and Society Bencanta, Coimbra, Portugal 8 Suceava Genebank, Suceava, Romania 9 University of Zagreb Faculty of Agriculture, Svetošimunska Zagreb, Croatia 10 Agroscope, Nyon 1, Schweiz, Switzerland 11 KWS SAAT SE & Co. KGaA, Einbeck, Germany 12 CERNAS – Research Centre for Natural Resources, Environment and Society Bencanta, Coimbra, Portugal 13 DSP -Delley Semences et Plantes SA, Delley, Switzerland 14 ECPGR, Alliance of Bioversity International and CIAT Roma, Ital