Zobrazeno 1 - 10
of 19
pro vyhledávání: '"John M. Hickey"'
Autor:
Paolo Gottardo, Gregor Gorjanc, Mara Battagin, R. Chris Gaynor, Janez Jenko, Roger Ros-Freixedes, C. Bruce A. Whitelaw, Alan J. Mileham, William O. Herring, John M. Hickey
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 9, Iss 1, Pp 203-215 (2019)
In this work, we performed simulations to develop and test a strategy for exploiting surrogate sire technology in animal breeding programs. Surrogate sire technology allows the creation of males that lack their own germline cells, but have transplant
Externí odkaz:
https://doaj.org/article/ee8c57aefe4e45d785ef036b431fd1f6
Autor:
Sudam C. Patil, Diego Jarquin, John M. Hickey, T. Radhakrishnan, Subramaniam Sundravadana, Ramesh S. Bhat, Sunil Chaudhari, Dhirendra Khare, Rajeev K. Varshney, Manish K. Pandey, José Crossa, Pasupuleti Janila
Publikováno v:
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
Pandey, M K, Chaudhari, S, Jarquin, D, Janila, P, Crossa, J, Patil, S C, Sundravadana, S, Khare, D, Bhat, R S, Radhakrishnan, T, Hickey, J M & Varshney, R K 2020, ' Genome-based trait prediction in multi- environment breeding trials in groundnut ', TAG Theoretical and Applied Genetics . https://doi.org/10.1007/s00122-020-03658-1
Pandey, M K, Chaudhari, S, Jarquin, D, Janila, P, Crossa, J, Patil, S C, Sundravadana, S, Khare, D, Bhat, R S, Radhakrishnan, T, Hickey, J M & Varshney, R K 2020, ' Genome-based trait prediction in multi- environment breeding trials in groundnut ', TAG Theoretical and Applied Genetics . https://doi.org/10.1007/s00122-020-03658-1
Key message Comparative assessment identified naïve interaction model, and naïve and informed interaction GS models suitable for achieving higher prediction accuracy in groundnut keeping in mind the high genotype × environment interaction for comp
Publikováno v:
Tolhurst, D J, Gaynor, R C, Gardunia, B, Hickey, J M & Gorjanc, G 2022, ' Genomic selection using random regressions on known and latent environmental covariates ', TAG Theoretical and Applied Genetics, vol. 135, pp. 3393-3415 . https://doi.org/10.1007/s00122-022-04186-w
Key message 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 into
Autor:
Gregor Gorjanc, John M. Hickey, Tim Byrne, P. R. Amer, Lorena G. Batista, Gaynor Rc, Gabriel Rodrigues Alves Margarido
Publikováno v:
PLoS ONE
Batista, L, Gaynor, C, Margarido, G, Byrne, T J, Amer, P, Gorjanc, G & Hickey, J 2021, ' Long-term comparison between index selection and optimal independent culling in plant breeding programs with genomic prediction ', PLoS ONE . https://doi.org/10.1371/journal.pone.0235554
PLoS ONE, Vol 16, Iss 5, p e0235554 (2021)
Batista, L, Gaynor, C, Margarido, G, Byrne, T J, Amer, P, Gorjanc, G & Hickey, J 2021, ' Long-term comparison between index selection and optimal independent culling in plant breeding programs with genomic prediction ', PLoS ONE . https://doi.org/10.1371/journal.pone.0235554
PLoS ONE, Vol 16, Iss 5, p e0235554 (2021)
In the context of genomic selection, we evaluated and compared breeding programs using either index selection or independent culling for recurrent selection of parents. We simulated a clonally propagated crop breeding program for 20 cycles using eith
Autor:
Jon Bančič, Christian R. Werner, R. Chris Gaynor, Gregor Gorjanc, Damaris A. Odeny, Henry F. Ojulong, Ian K. Dawson, Stephen P. Hoad, John M. Hickey
Publikováno v:
Bančič, J, Werner, C, Gaynor, C, Gorjanc, G, Odeny, D A, Ojulong, H, Dawson, I, Hoad, S P & Hickey, J 2021, ' Modelling illustrates that genomic selection provides new opportunities for intercrop breeding ', Frontiers in plant science, vol. 12, 605172 . https://doi.org/10.3389/fpls.2021.605172
Frontiers in Plant Science, Vol 12 (2021)
Frontiers in Plant Science
Frontiers in Plant Science, Vol 12 (2021)
Frontiers in Plant Science
Intercrop breeding programs using genomic selection can produce faster genetic gain than intercrop breeding programs using phenotypic selection. Intercropping is an agricultural practice in which two or more component crops are grown together. It can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30b1f6141b0575eb205d6d4f7e6a8c9d
https://hdl.handle.net/20.500.11820/e75ca887-c70c-4f8d-87e2-383a141362d4
https://hdl.handle.net/20.500.11820/e75ca887-c70c-4f8d-87e2-383a141362d4
Publikováno v:
Gaynor, C, Gorjanc, G & Hickey, J 2021, ' AlphaSimR: An R-package for Breeding Program Simulations ', G3: Genes | Genomes | Genetics . https://doi.org/10.1093/g3journal/jkaa017
G3: Genes|Genomes|Genetics
G3: Genes|Genomes|Genetics
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 plant and animal breeding programs for diploid and autopo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52ad8ac04b43324f3f96cdf398f5e414
https://doi.org/10.1101/2020.08.10.245167
https://doi.org/10.1101/2020.08.10.245167
For genomic selection in clonal breeding programs to be effective, crossing parents should be selected based on genomic predicted cross performance unless dominance is negligible. Genomic prediction of cross performance enables a balanced exploitatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3badc8e7f19e40ac9ac6521eaee846a
https://doi.org/10.1101/2020.06.15.152017
https://doi.org/10.1101/2020.06.15.152017
Autor:
Roberto Antolin, Owen Powell, Wallace Cowling, Stefan M Edwards, R. Chris Gaynor, Gregor Gorjanc, John M. Hickey
Publikováno v:
Cowling, W A, Gaynor, R C, Antolín, R, Gorjanc, G, Edwards, S M, Powell, O & Hickey, J M 2020, ' In silico simulation of future hybrid performance to evaluate heterotic pool formation in a self-pollinating crop ', Scientific Reports, vol. 10, no. 1, pp. 4037 . https://doi.org/10.1038/s41598-020-61031-0
Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-8 (2020)
Scientific Reports
Hybrid vigour has the potential to substantially increase the yield of self-pollinating crops such as wheat and rice, but future hybrid performance may depend on the initial strategy to form heterotic pools. We used in silico stochastic simulation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05b2beb79c4c49e7a1e5ba2b86b89120
https://hdl.handle.net/20.500.11820/d07dd813-cc2c-43b0-96a6-e9717a1770c3
https://hdl.handle.net/20.500.11820/d07dd813-cc2c-43b0-96a6-e9717a1770c3
In this paper we develop and test a method which uses high-throughput phenotypes to infer the genotypes of an individual. The inferred genotypes can then be used to perform genomic selection. Previous methods which used high-throughput phenotype data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5447ea6bc3f1162cb4121828cb396ec2
https://doi.org/10.1101/2020.02.28.969600
https://doi.org/10.1101/2020.02.28.969600
Autor:
Peter Jack, Gregor Gorjanc, Jaap B. Buntjer, Simon Berry, Eric S. Ober, Stefan M Edwards, Alison R. Bentley, Jacob Lage, Phil Howell, C. Burt, Charlotte Hayes, Stephen Smith, Ian Mackay, Gaynor Rc, Ed Byrne, Robert Jackson, John M. Hickey, Bruno Poupard, Edward Flatman
Publikováno v:
Edwards, S M, Buntjer, J, Jackson, R, Bentley, A R, Lage, J, Byrne, E, Burt, C, Jack, P, Berry, S, Flatman, E, Poupard, B, Smith, S, Hayes, C, Gaynor, R, Gorjanc, G, Howell, P, Ober, E, Mackay, I J & Hickey, J 2019, ' The effects of training population design on genomic prediction accuracy in wheat ', TAG Theoretical and Applied Genetics . https://doi.org/10.1007/s00122-019-03327-y
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
Genomic selection offers several routes for increasing the genetic gain or efficiency of plant breeding programmes. In various species of livestock, there is empirical evidence of increased rates of genetic gain from the use of genomic selection to t