Prediction of evolutionary constraint by genomic annotations improves functional prioritization of genomic variants in maize
Background Crop improvement through cross-population genomic prediction and genome
editing requires identification of causal variants at high resolution, within fewer than …
editing requires identification of causal variants at high resolution, within fewer than …
Assessing combining abilities, genomic data, and genotype× environment interactions to predict hybrid grain sorghum performance
Genomic selection in maize (Zea mays L.) has been one factor that has increased the rate of
genetic gain when compared with other cereals. However, the technological foundations in …
genetic gain when compared with other cereals. However, the technological foundations in …
Across-population genomic prediction in grapevine opens up promising prospects for breeding
Crop breeding involves two selection steps: choosing progenitors and selecting individuals
within progenies. Genomic prediction, based on genome-wide marker estimation of genetic …
within progenies. Genomic prediction, based on genome-wide marker estimation of genetic …
Accounting for group-specific allele effects and admixture in genomic predictions: theory and experimental evaluation in maize
Populations structured into genetic groups may display group-specific linkage
disequilibrium, mutations, and/or interactions between quantitative trait loci and the genetic …
disequilibrium, mutations, and/or interactions between quantitative trait loci and the genetic …
Genomic prediction for winter survival of lowland switchgrass in the northern USA
The lowland ecotype of switchgrass has generated considerable interest because of its
higher biomass yield and late flowering characteristics compared to the upland ecotype …
higher biomass yield and late flowering characteristics compared to the upland ecotype …
Genomic prediction of regional-scale performance in switchgrass (Panicum virgatum) by accounting for genotype-by-environment variation and yield surrogate traits
Switchgrass is a potential crop for bioenergy or carbon capture schemes, but further yield
improvements through selective breeding are needed to encourage commercialization. To …
improvements through selective breeding are needed to encourage commercialization. To …
Genome‐wide marker effect heterogeneity is associated with a large effect dormancy locus in winter malting barley
Prediction of trait values in plant breeding populations typically relies on assumptions about
marker effect homogeneity across populations. Evidence is presented for winter malting …
marker effect homogeneity across populations. Evidence is presented for winter malting …
Combining genetic resources and elite material populations to improve the accuracy of genomic prediction in apple
Genomic selection is an attractive strategy for apple breeding that could reduce the length of
breeding cycles. A possible limitation to the practical implementation of this approach lies in …
breeding cycles. A possible limitation to the practical implementation of this approach lies in …
Biomass yield improvement in switchgrass through genomic prediction of flowering time
NW Tilhou, MD Casler - GCB Bioenergy, 2022 - Wiley Online Library
The seasonal timing of the transition from vegetative to reproductive growth has a major
impact on biomass accumulation in switchgrass. Late‐flowering switchgrass cultivars …
impact on biomass accumulation in switchgrass. Late‐flowering switchgrass cultivars …
[BOOK][B] Quantitative genetics from genome assemblies to neural network aided omics-based prediction of complex traits
JA Freudenthal - 2020 - search.proquest.com
Quantitative genetics is the study of continuously distributed traits and their genetic
components. Recent developments in DNA sequencing technologies and computational …
components. Recent developments in DNA sequencing technologies and computational …