R Chris Gaynor
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Explore the profile of R Chris Gaynor including associated specialties, affiliations and a list of published articles.
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23
Citations
501
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Recent Articles
1.
Genomic and phenotypic characterization of finger millet indicates a complex diversification history
Bancic J, Odeny D, Ojulong H, Josiah S, Buntjer J, Gaynor R, et al.
Plant Genome
. 2023 Nov;
17(1):e20392.
PMID: 37986545
Advances in sequencing technologies mean that insights into crop diversification can now be explored in crops beyond major staples. We use a genome assembly of finger millet, an allotetraploid orphan...
2.
Tolhurst D, Gaynor R, Gardunia B, Hickey J, Gorjanc G
Theor Appl Genet
. 2023 Aug;
136(8):178.
PMID: 37542182
No abstract available.
3.
Pocrnic I, Obsteter J, Gaynor R, Wolc A, Gorjanc G
Front Genet
. 2023 May;
14:1168212.
PMID: 37234871
Nucleus-based breeding programs are characterized by intense selection that results in high genetic gain, which inevitably means reduction of genetic variation in the breeding population. Therefore, genetic variation in such...
4.
Jackson R, Buntjer J, Bentley A, Lage J, Byrne E, Burt C, et al.
Front Genet
. 2023 May;
14:1164935.
PMID: 37229190
Genomic selection has recently become an established part of breeding strategies in cereals. However, a limitation of linear genomic prediction models for complex traits such as yield is that these...
5.
Werner C, Gaynor R, Sargent D, Lillo A, Gorjanc G, Hickey J
Theor Appl Genet
. 2023 Mar;
136(4):74.
PMID: 36952013
For genomic selection in clonally propagated crops with diploid (-like) meiotic behavior to be effective, crossing parents should be selected based on genomic predicted cross-performance unless dominance is negligible. For...
6.
Powell O, Mrode R, Gaynor R, Johnsson M, Gorjanc G, Hickey J
JDS Commun
. 2022 Nov;
2(6):366-370.
PMID: 36337118
Breeding has increased genetic gain for dairy cattle in advanced economies but has had limited success in improving dairy cattle in low- to middle-income countries (LMIC). Genetic evaluations are a...
7.
Tolhurst D, Gaynor R, Gardunia B, Hickey J, Gorjanc G
Theor Appl Genet
. 2022 Sep;
135(10):3393-3415.
PMID: 36066596
The integration of known and latent environmental covariates within a single-stage genomic selection approach provides breeders with an informative and practical framework to utilise genotype by environment interaction for prediction...
8.
Lara L, Pocrnic I, Oliveira T, Gaynor R, Gorjanc G
Heredity (Edinb)
. 2021 Dec;
128(1):21-32.
PMID: 34912044
Genetic variance is a central parameter in quantitative genetics and breeding. Assessing changes in genetic variance over time as well as the genome is therefore of high interest. Here, we...
9.
Gonen S, Wimmer V, Gaynor R, Byrne E, Gorjanc G, Hickey J
Crop Sci
. 2021 Aug;
61(4):2243-2253.
PMID: 34413534
This paper presents an extension to a heuristic method for phasing and imputation of genotypes of descendants in biparental populations so that it can phase and impute genotypes of parents...
10.
Gaynor R, Gorjanc G, Hickey J
G3 (Bethesda)
. 2021 Mar;
11(2).
PMID: 33704430
This paper introduces AlphaSimR, an R package for stochastic simulations of plant and animal breeding programs. AlphaSimR is a highly flexible software package able to simulate a wide range of...