ArticleFrontiers in plant science2023
Genomic prediction and allele mining of agronomic and morphological traits in pea (
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Harnessing exotic germplasm for red clover improvement: Tracking genomic introgression and deploying genomic selection.The plant genome · 2026Article
- Unravelling genetic diversity in grain amaranth (Amaranthus hypochondriacus L.) core accessions using genome-wide SNP markers.Molecular genetics and genomics : MGG · 2026Article
- Genome-wide association studies of a pea germplasm reveal novel markers and candidate genes implicated in resistance to Fusarium oxysporum f. sp. pisi races 1 and 2.The plant genome · 2026Article
- Characterization of Genetic Diversity and Genomic Prediction of Secondary Metabolites in Pea Genetic Resources.Plants (Basel, Switzerland) · 2026Article
- Crop wild relatives of legumes: evolutionary resources for climate-responsive pre-breeding.Frontiers in plant science · 2026Review
- Adaptation of faba bean cultivars across Norwegian environments: identification of elite material and definition of optimal breeding and cultivar testing procedures.Frontiers in plant science · 2026Article
- Genetic Variation and Genome-Enabled Prediction of White Lupin Frost Resistance in Different Reference Populations.International journal of molecular sciences · 2025Article
- Genetic variation and genome-enabled selection of white lupin for key seed quality traits.BMC genomics · 2025Article
- Genome wide association study unveils the genetic basis of Orobanche crenata resistance in pea.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Harnessing historical genebank data to accelerate pea breeding.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Targeted genotyping (90K-SPET) facilitates genome-wide association studies and the prediction of yield-related traits in faba bean (Vicia faba L.).BMC plant biology · 2025Article
- Genomic Selection for Pea Grain Yield and Protein Content in Italian Environments for Target and Non-Target Genetic Bases.International journal of molecular sciences · 2025Article
- Comparison of phenotypic selection of inbred lines, genomic selection of inbred lines, and evolutionary populations for field pea breeding in three Mediterranean regions.Frontiers in plant science · 2025Article
- Genomic prediction for rust resistance in pea.Frontiers in plant science · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Well-performing genomic prediction (GP) models for polygenic traits and molecular marker sets for oligogenic traits could be useful for identifying promising genetic resources in germplasm collections, setting core collections, and establishing molecular variety distinction. This study aimed at (i) defining GP models and key marker sets for predicting 15 agronomic or morphological traits in germplasm collections, (ii) verifying the GP model usefulness also for selection in breeding programs, (iii) investigating the consistency between molecular and phenotypic diversity patterns, and (iv) identifying genomic regions associated with to the target traits. The study was based on phenotyping data and over 41,000 genotyping-by-sequencing-generated SNP markers of 220 landraces or old cultivars belonging to a world germplasm collection and 11 modern cultivars. Non-metric multi-dimensional scaling (NMDS) and an analysis of population genetic structure indicated a high level of genetic differentiation of material from Western Asia, a major West-East diversity gradient, and quite limited genetic diversity of the improved germplasm. Mantel's test revealed a low correlation (
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.