Sarup, Pernille; Jihad, Orabi and Jahoor, Ahmed (2025) Genomic Prediction in Oat Grown Under Organic Conditions. Poster at: Plant and Animal Genome Conference (PAG32), San Diego, USA, 10-15, 2025.
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Summary in the original language of the document
The accuracy of genomic prediction for organic performance is often limited by the size of the training data set. We investigate how best to use drone phenotypes and conventional yield trials to increase accuracy of genomic prediction (GP) of organically grown oat.
| EPrint Type: | Conference paper, poster, etc. |
|---|---|
| Type of presentation: | Poster |
| Agrovoc keywords: | Language Value URI English UNSPECIFIED UNSPECIFIED |
| Subjects: | Crop husbandry > Breeding, genetics and propagation |
| Research affiliation: | Denmark > Organic RDD 7 > Oatganic |
| Deposited By: | Haldrup, Mr. Hans |
| ID Code: | 54763 |
| Deposited On: | 11 Feb 2025 09:10 |
| Last Modified: | 11 Feb 2025 09:10 |
| Document Language: | English |
| Status: | Published |
| Refereed: | Not peer-reviewed |
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