Multi-Trait Genomic Prediction Improves Predictive Ability for Dry Matter Yield and Water-Soluble Carbohydrates in Perennial Ryegrass

Lignende værker

• Genomic Predictive Ability for Foliar Nutritive Traits in Perennial Ryegrass
  af: Arojju, Sai Krishna, et al.
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• Deterministic and stochastic modelling of impacts from genomic selection and phenomics on genetic gain for perennial ryegrass dry matter yield
  af: Jahufer, M. Z. Z., et al.
  Udgivet: (2021)
• Predictive ability of genomic selection models in a multi-population perennial ryegrass training set using genotyping-by-sequencing
  af: Faville, Marty J., et al.
  Udgivet: (2017)
• Real-time, non-destructive and in-field foliage yield and growth rate measurement in perennial ryegrass (Lolium perenne L.)
  af: Kioumars Ghamkhar, et al.
  Udgivet: (2019-07-01)
• Real-time, non-destructive and in-field foliage yield and growth rate measurement in perennial ryegrass (Lolium perenne L.)
  af: Ghamkhar, Kioumars, et al.
  Udgivet: (2019)