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

open access: yesThe Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Genomic selection (GS) is a promising strategy for accelerating genetic gains of complex traits in breeding programs. Despite the recent advancements in high‐throughput genotyping technologies, the selection of the type of marker systems needed for GS remains challenging in breeding programs.
Samuel A. Adewale   +14 more
wiley   +1 more source

Genome‐wide association study identifies consistent genomic loci for yield and nutritional quality in Ethiopian sorghum landraces

open access: yesThe Plant Genome, Volume 19, Issue 1, March 2026.
Abstract Identifying genomic regions linked to yield and quality is crucial for sorghum (Sorghum bicolor L.) improvement, but limited studies on its genome and diversity hinder breeding efforts. This study aimed to identify phenotypic variance and common quantitative trait nucleotides (QTNs) associated with genomic regions linked with grain yield and ...
Chalachew Endalamaw   +7 more
wiley   +1 more source
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WIREs Computational Statistics, 2010
AbstractLinear least squares regression is among the most well known classical methods. This and other parametric least squares regression models do not perform well when the modeling is too restrictive to capture the nonlinear effect the covariates have on the response.
GIJBELS I, PROSDOCIMI I
openaire   +1 more source

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