Indirect selection based on multispectral aerial images in the early stages of a wheat breeding program

Documenti analoghi

• High‐throughput phenotyping and machine learning techniques in soybean breeding: Exploring the potential of aerial imaging and vegetation indices
  di: Melissa Cristina de Carvalho Miranda, et al.
  Pubblicazione: (2025)
• Rice breeding for multi‐canopy system: Estimations of genetic parameters and response to selection
  di: Ma'rifatus Sholehah, et al.
  Pubblicazione: (2024)
• Assessing relationships of cover crop biomass and nitrogen content to multispectral imagery
  di: Jarrod O. Miller, et al.
  Pubblicazione: (2024)
• Learning to balance wheat G × E × M interactions in response to a changing climate—The case for ultra‐early planting systems
  di: Graham R. S. Collier, et al.
  Pubblicazione: (2024)
• Near‐infrared spectroscopy and deep neural networks for early common root rot detection in wheat from multi‐season trials
  di: Yiyi Xiong, et al.
  Pubblicazione: (2024)