Cargando…
Improve Soybean Variety Selection Accuracy Using UAV-Based High-Throughput Phenotyping Technology
The efficiency of crop breeding programs is evaluated by the genetic gain of a primary trait of interest, e.g., yield, achieved in 1 year through artificial selection of advanced breeding materials. Conventional breeding programs select superior genotypes using the primary trait (yield) based on com...
Autores principales: | Zhou, Jing, Beche, Eduardo, Vieira, Caio Canella, Yungbluth, Dennis, Zhou, Jianfeng, Scaboo, Andrew, Chen, Pengyin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786709/ https://www.ncbi.nlm.nih.gov/pubmed/35087547 http://dx.doi.org/10.3389/fpls.2021.768742 |
Ejemplares similares
-
Estimation of Off-Target Dicamba Damage on Soybean Using UAV Imagery and Deep Learning
por: Tian, Fengkai, et al.
Publicado: (2023) -
Incorporation of Soil-Derived Covariates in Progeny Testing and Line Selection to Enhance Genomic Prediction Accuracy in Soybean Breeding
por: Canella Vieira, Caio, et al.
Publicado: (2022) -
Exploring Machine Learning Algorithms to Unveil Genomic Regions Associated With Resistance to Southern Root-Knot Nematode in Soybeans
por: Canella Vieira, Caio, et al.
Publicado: (2022) -
Assessment of Soybean Lodging Using UAV Imagery and Machine Learning
por: Sarkar, Shagor, et al.
Publicado: (2023) -
Identification of genomic regions associated with soybean responses to off-target dicamba exposure
por: Canella Vieira, Caio, et al.
Publicado: (2022)