G3: Genes, Genomes, Genetics (Jan 2023)

Genomic prediction of switchgrass winter survivorship across diverse lowland populations

  • Neal W Tilhou,
  • Hari P Poudel,
  • John Lovell,
  • Sujan Mamidi,
  • Jeremy Schmutz,
  • Christopher Daum,
  • Matthew Zane,
  • Yuko Yoshinaga,
  • Anna Lipzen,
  • Michael D Casler

DOI
https://doi.org/10.1093/g3journal/jkad014
Journal volume & issue
Vol. 13, no. 3

Abstract

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AbstractIn the North-Central United States, lowland ecotype switchgrass can increase yield by up to 50% compared with locally adapted but early flowering cultivars. However, lowland ecotypes are not winter tolerant. The mechanism for winter damage is unknown but previously has been associated with late flowering time. This study investigated heading date (measured for two years) and winter survivorship (measured for three years) in a multi-generation population generated from two winter-hardy lowland individuals and diverse southern lowland populations. Sequencing data (311,776 markers) from 1,306 individuals were used to evaluate genome-wide trait prediction through cross-validation and progeny prediction (n = 52). Genetic variance for heading date and winter survivorship was additive with high narrow-sense heritability (0.64 and 0.71, respectively) and reliability (0.68 and 0.76, respectively). The initial negative correlation between winter survivorship and heading date degraded across generations (F1r2r2r