Predicting Longitudinal Traits Derived from High-Throughput Phenomics in Contrasting Environments Using Genomic Legendre Polynomials and B-Splines

समान संसाधन

• Multi-trait random regression models increase genomic prediction accuracy for a temporal physiological trait derived from high-throughput phenotyping
  द्वारा: Baba, Toshimi, और अन्य
  प्रकाशित: (2020)
• Leveraging Breeding Values Obtained from Random Regression Models for Genetic Inference of Longitudinal Traits
  द्वारा: Malachy Campbell, और अन्य
  प्रकाशित: (2019-06-01)
• Utilizing random regression models for genomic prediction of a longitudinal trait derived from high‐throughput phenotyping
  द्वारा: Campbell, Malachy, और अन्य
  प्रकाशित: (2018)
• Utilizing trait networks and structural equation models as tools to interpret multi-trait genome-wide association studies
  द्वारा: Momen, Mehdi, और अन्य
  प्रकाशित: (2019)
• ShinyAIM: Shiny‐based application of interactive Manhattan plots for longitudinal genome‐wide association studies
  द्वारा: Hussain, Waseem, और अन्य
  प्रकाशित: (2018)