Near‐infrared reflectance spectroscopy phenomic prediction can perform similarly to genomic prediction of maize agronomic traits across environments

Documenti analoghi

• Multi‐environment evaluation and genomic prediction of agronomic traits in the southern US rice genepool
  di: Mary‐Francis LaPorte, et al.
  Pubblicazione: (2026)
• Integrating genomics, phenomics, and deep learning improves the predictive ability for Fusarium head blight–related traits in winter wheat
  di: Subash Thapa, et al.
  Pubblicazione: (2024)
• Exploring the efficacy of phenomic and genomic selection for yield and fruit quality traits in strawberry
  di: Joshua A. Sleper, et al.
  Pubblicazione: (2025)
• Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi‐kernel genomic prediction models integrating secondary traits and environmental covariates
  di: Sudip Kunwar, et al.
  Pubblicazione: (2025)
• Multi‐trait/environment sparse genomic prediction using the SFSI R‐package
  di: Marco Lopez‐Cruz, et al.
  Pubblicazione: (2025)