Genomic Prediction in Oat Grown Under Organic Conditions (original) (raw)

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.

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: EnglishUNSPECIFIEDUNSPECIFIED
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Refereed: Not peer-reviewed

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