Data-driven decentralized breeding increases prediction accuracy in a challenging crop production environment
de Sousa et al. present a data-driven decentralized crop breeding approach called 3D-breeding that is geared toward improving yields for smallholder farmers. 3D-breeding is applied to a case study of durum wheat in Ethiopia, which demonstrates higher prediction accuracies for grain yield than the ex...
Guardado en:
Autores principales: | Kauê de Sousa, Jacob van Etten, Jesse Poland, Carlo Fadda, Jean-Luc Jannink, Yosef Gebrehawaryat Kidane, Basazen Fantahun Lakew, Dejene Kassahun Mengistu, Mario Enrico Pè, Svein Øivind Solberg, Matteo Dell’Acqua |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6e151063464f4d729fd15559a72a36b3 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Joining smallholder farmers’ traditional knowledge with metric traits to select better varieties of Ethiopian wheat
por: Chiara Mancini, et al.
Publicado: (2017) -
Ascalona spoliata. The dismantling of the Roman city and the reuse in Late and post-classical eras through archaeological and literary evidence
por: Antonio Dell’Acqua
Publicado: (2021) -
Integrating EfficientNet into an HAFNet Structure for Building Mapping in High-Resolution Optical Earth Observation Data
por: Luca Ferrari, et al.
Publicado: (2021) -
Cross-modal representations of first-hand and vicarious pain, disgust and fairness in insular and cingulate cortex
por: Corrado Corradi-Dell’Acqua, et al.
Publicado: (2016) -
Superpixel-Based Singular Spectrum Analysis for Effective Spatial-Spectral Feature Extraction
por: Subhashree Subudhi, et al.
Publicado: (2021)