A latent factor approach to hyperspectral time series data for multivariate genomic prediction of grain yield in wheat

Documenti analoghi

• Improving Genomic Prediction using High-dimensional Secondary Phenotypes: the Genetic Latent Factor Approach
  di: Melsen, Killian A. C., et al.
  Pubblicazione: (2024)
• REML implementations of kernel-based genomic prediction models for genotype x environment x management interactions
  di: Melsen, Killian A. C., et al.
  Pubblicazione: (2025)
• Assessing the properties of the prediction interval in random-effects meta-analysis
  di: Matrai, Peter, et al.
  Pubblicazione: (2024)
• Machine learning algorithms to predict stroke in China based on causal inference of time series analysis
  di: Zheng, Qizhi, et al.
  Pubblicazione: (2025)
• A primer on inference and prediction with epidemic renewal models and sequential Monte Carlo
  di: Steyn, Nicholas, et al.
  Pubblicazione: (2025)