Early prediction of biomass in hybrid rye based on hyperspectral data surpasses genomic predictability in less-related breeding material
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Title
Early prediction of biomass in hybrid rye based on hyperspectral data surpasses genomic predictability in less-related breeding material
Authors
Keywords
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Journal
THEORETICAL AND APPLIED GENETICS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-02-25
DOI
10.1007/s00122-021-03779-1
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- (2017) Jibo Yue et al. Remote Sensing
- Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
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- Genomic selection in biparental populations: assessment of parameters for optimum estimation set design
- (2015) Jose J. Marulanda et al. PLANT BREEDING
- LinkImpute: Fast and Accurate Genotype Imputation for Nonmodel Organisms
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- The accuracy of prediction of genomic selection in elite hybrid rye populations surpasses the accuracy of marker-assisted selection and is equally augmented by multiple field evaluation locations and test years
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- A Review of Imaging Techniques for Plant Phenotyping
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- Analysis of Covariation of Grain Yield and Dry Matter Yield for Breeding Dual Use Hybrid Rye
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- (2013) Yuanyuan Fu et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Genomic BLUP Decoded: A Look into the Black Box of Genomic Prediction
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- The impact of genetic relationship information on genome-assisted breeding values
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