*Result*: Effectiveness of low-density high-throughput marker platform and easy-to-measure traits for genomic prediction of biomass yield in oat (Avena sativa L.).

Effectiveness of low-density high-throughput marker platform and easy-to-measure traits for genomic prediction of biomass yield in oat (Avena sativa L.).

Adewale SA; Plant Breeding Graduate Program, University of Florida, Gainesville, Florida, USA.; Department of Agronomy, University of Florida, Gainesville, Florida, USA., Babar MA; Department of Agronomy, University of Florida, Gainesville, Florida, USA., Jarquin D; Department of Agronomy, University of Florida, Gainesville, Florida, USA., Khan N; Department of Agronomy, University of Florida, Gainesville, Florida, USA., Acharya JP; Department of Agronomy, University of Florida, Gainesville, Florida, USA., Kunwar S; Plant Breeding Graduate Program, University of Florida, Gainesville, Florida, USA.; Department of Agronomy, University of Florida, Gainesville, Florida, USA., McBreen J; Department of Agronomy, University of Florida, Gainesville, Florida, USA., Rios E; Department of Agronomy, University of Florida, Gainesville, Florida, USA., Harrison S; School of Plant, Environmental and Soil Sciences, Louisiana State University, Baton Rouge, Louisiana, USA., DeWitt N; School of Plant, Environmental and Soil Sciences, Louisiana State University, Baton Rouge, Louisiana, USA., Ibrahim A; AgriLife Research, Texas A&M University, College Station, Texas, USA., Murphy P; Department of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina, USA., Boyles R; Pee Dee Research and Education Center, Clemson University, Florence, South Carolina, USA., Fiedler JD; USDA-ARS Cereal Crops Improvement Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, USA., Nandety RS; USDA-ARS Cereal Crops Improvement Research Unit, Edward T. Schafer Agricultural Research Center, Fargo, North Dakota, USA.

The plant genome [Plant Genome] 2026 Mar; Vol. 19 (1), pp. e70179.

Journal Article

English

Publisher: Crop Science Society of America Country of Publication: United States NLM ID: 101273919 Publication Model: Print Cited Medium: Internet ISSN: 1940-3372 (Electronic) Linking ISSN: 19403372 NLM ISO Abbreviation: Plant Genome Subsets: MEDLINE

Original Publication: Madison, WI : Crop Science Society of America

Avena*/genetics , Avena*/growth & development , Genomics*/methods , Biomass* , Genome, Plant*, Polymorphism, Single Nucleotide ; Plant Breeding ; Genetic Markers ; Genotype ; Phenotype

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UF Plant Breeding Graduate Initiative; UF Food Crops Breeding Program

Local Abstract: [plain-language-summary] In the Southern United States, oats have been extensively used as a forage crop for animal feed. Nevertheless, collecting phenotypic data for aboveground biomass improvement in oat breeding programs is destructive, labor‐intensive, and takes a lengthy time. We investigated two different marker genotyping platforms for genomic prediction of oat biomass yield using different univariate and multivariate models. The inclusion of easy‐to‐measure secondary traits in our models resulted in a better ability to determine oat genotypes that will give higher biomass yield. Comparable predictive abilities were observed for both marker genotyping methods. Thus, the more robust 3K array genotyping method with lower marker density could be utilized by breeders for selection of oat genotypes in early generations using secondary traits in genomic selection to reduce cost, shorten the time required to develop new varieties, and eventually boost the availability of nutritious oat forage for the livestock industry.

0 (Genetic Markers)

Date Created: 20260116 Date Completed: 20260116 Latest Revision: 20260116

20260130

10.1002/tpg2.70179

41543178

MEDLINE