European maize landraces made accessible for plant breeding and genome-based studies

Armin C. Hölker, Manfred Mayer, Thomas Presterl, Therese Bolduan, Eva Bauer, Bernardo Ordas, Pedro C. Brauner, Milena Ouzunova, Albrecht E. Melchinger, Chris Carolin Schön

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

Key message: Doubled-haploid libraries from landraces capture native genetic diversity for a multitude of quantitative traits and make it accessible for breeding and genome-based studies. Abstract: Maize landraces comprise large allelic diversity. We created doubled-haploid (DH) libraries from three European flint maize landraces and characterized them with respect to their molecular diversity, population structure, trait means, variances, and trait correlations. In total, 899 DH lines were evaluated using high-quality genotypic and multi-environment phenotypic data from up to 11 environments. The DH lines covered 95% of the molecular variation present in 35 landraces of an earlier study and represent the original three landrace populations in an unbiased manner. A comprehensive analysis of the target trait plant development at early growth stages as well as other important agronomic traits revealed large genetic variation for line per se and testcross performance. The majority of the 378 DH lines evaluated as testcrosses outperformed the commercial hybrids for early development. For total biomass yield, we observed a yield gap of 15% between mean testcross yield of the commercial hybrids and mean testcross yield of the DH lines. The DH lines also exhibited genetic variation for undesirable traits like root lodging and tillering, but correlations with target traits early development and yield were low or nonsignificant. The presented diversity atlas is a valuable, publicly available resource for genome-based studies to identify novel trait variation and evaluate the prospects of genomic prediction in landrace-derived material.

Original languageEnglish
Pages (from-to)3333-3345
Number of pages13
JournalTheoretical and Applied Genetics
Volume132
Issue number12
DOIs
StatePublished - 1 Dec 2019

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