Similar papers
Open access
Sep 2026
Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa
Predictive breeding has been proposed as an effective approach to accelerate genetic gain for complex traits. Genomic prediction (GP) models have been developed in alfalfa ( Medicago sativa L.) for key traits in the last decade. More recently, phenomic prediction (PP) models have been proposed as a low‐cost, high...
P. Sipowicz, Ayush K. Sharma, M. M. Andrade et al.
· The Plant Phenome Journal · 0 citations
Open access
Sep 2026
Genomic prediction of agronomic traits in a switchgrass (Panicum virgatum L.) half‐sib progeny panel evaluated across multiple environments
Abstract Switchgrass (Panicum virgatum L.) improvement requires selection methods that remain effective across environments. Biomass yield is strongly influenced by genotype‐by‐environment (G × E) interaction. We evaluated genomic prediction models for biomass yield, spring emergence (SE), and flowering time (FT) in ha...
Jazib Ali Irfan, C. Abeyratne, H. B. Chhetri et al.
· The Plant Genome · 0 citations
Open access
Aug 2026
Improving hybrid breeding efficiency in winter oilseed rape under sparse multi-environment testing
Balanced, relationship-based omission, multi-environment predictions, and pedigree-genomic matrices improve genomic predictions, highlighting breeder’s ability to influence performance through strategic training set design and model choice. Genomic prediction is increasingly applied in plant breeding, yet its robustnes...
L. Thomsen, M. Frisch, C. Flachenecker et al.
· Theoretical and Applied Gene... · 0 citations
Open access
Sep 2026
Non-linear kernel methods for genomic prediction of soybean yield and quality in multi-environment trials
Nonlinear kernels improve the accuracy of genomic prediction while preserving the inferential framework of quantitative genetics. Improving the predictive accuracy of genomic prediction (GP) for complex genetic architectures involving non-additive effects and genotype-by-environment interactions (GEI) requires alternat...
Wanessa Alves Lima Paiva, W. G. da Costa, Leandro Pacheco Machado et al.
· Theoretical and Applied Gene... · 0 citations
Open access
Sep 2026
Assessment of genomic prediction and genetic gain in multi‑population half-sib families in the perennial grass crop intermediate wheatgrass
The University of Minnesota has been domesticating the perennial forage intermediate wheatgrass (IWG) since 2011 using a combination of conventional methods and modern breeding tools such as genomic selection. Globally, most IWG selection nurseries are spaced-planted individuals of several hundred genotypes whereas com...
P. Bajgain, J. Jungers, James A. Anderson
· PLoS ONE · 0 citations
Open access
Sep 2026
Combining genomic prediction and multi-trait indices through stochastic simulations: do index type and deployment order affect genetic gain?
Genomic selection (GS) has transformed plant breeding by enabling early selection and potentially reducing cycle length, but how to integrate GS with classical multi-trait selection indices remains unclear. We used stochastic simulations to compare seven strategies combining Smith–Hazel (SH), Pesek–Baker (PB), and empi...
Roberto Fritsche-Neto, Lorena Gabriela Coelho Queiroz, J. Viana et al.
· Theoretical and Applied Gene... · 0 citations