Please wait a minute...
Frontiers of Agricultural Science and Engineering

ISSN 2095-7505

ISSN 2095-977X(Online)

CN 10-1204/S

Postal Subscription Code 80-906

Front. Agr. Sci. Eng.    2021, Vol. 8 Issue (2) : 353-355    https://doi.org/10.15302/J-FASE-2021387
PERSPECTIVE
GLOBAL GENOMIC PREDICTION IN HORTICULTURAL CROPS: PROMISES, PROGRESS, CHALLENGES AND OUTLOOK
Craig HARDNER1(), Satish KUMAR2, Dorrie MAIN3, Cameron PEACE3
1. Queensland Alliance for Agriculture and Food Innovation University of Queensland, St Lucia QLD, 4072, Australia.
2. New Zealand Institute Plant & Food Res Ltd, Hawkes Bay Research Centre, Havelock North, 4130, New Zealand.
3. Department of Horticulture, Washington State University, Pullman, WA 99164, USA.
 Download: PDF(85 KB)   HTML
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Corresponding Author(s): Craig HARDNER   
Just Accepted Date: 05 February 2021   Online First Date: 12 March 2021    Issue Date: 13 July 2021
 Cite this article:   
Craig HARDNER,Satish KUMAR,Dorrie MAIN, et al. GLOBAL GENOMIC PREDICTION IN HORTICULTURAL CROPS: PROMISES, PROGRESS, CHALLENGES AND OUTLOOK[J]. Front. Agr. Sci. Eng. , 2021, 8(2): 353-355.
 URL:  
https://academic.hep.com.cn/fase/EN/10.15302/J-FASE-2021387
https://academic.hep.com.cn/fase/EN/Y2021/V8/I2/353
1 T H E Meuwissen, B J Hayes, M E Goddard. Prediction of total genetic value using genome-wide dense marker maps. Genetics, 2001, 157(4): 1819–1829
pmid: 11290733
2 B J Hayes, P M Visscher, M E Goddard. Increased accuracy of artificial selection by using the realized relationship matrix. Genetical Research, 2009, 91(1): 47–60
https://doi.org/10.1017/S0016672308009981 pmid: 19220931
3 A F Iezzoni, J McFerson, J Luby, K Gasic, V Whitaker, N Bassil, C Yue, K Gallardo, V McCracken, M Coe, C Hardner, J D Zurn, S Hokanson, E van de Weg, S Jung, D Main, C da Silva Linge, S Vanderzande, T M Davis, L L Mahoney, C Finn, C Peace. RosBREED: bridging the chasm between discovery and application to enable DNA-informed breeding in rosaceous crops. Horticulture Research, 2020, 7(1): 177
https://doi.org/10.1038/s41438-020-00398-7 pmid: 33328430
4 C M Hardner, S Kumar, C M Peace, J Luby, K M Evans. Reconstructing relationship matrices from dense SNP arrays for the prediction of genetic potential in unreplicated multilocation plantings of apple progeny. In: Onus N, Currie A, eds. Xxix International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes, 2016, 275–281
5 D S Falconer. The problem of environment and selection. American Naturalist, 1952, 86(830): 293–298
https://doi.org/10.1086/281736
6 C M Hardner, B J Hayes, S Kumar, S Vanderzande, L Cai, J Piaskowski, J Quero-Garcia, J A Campoy, T Barreneche, D Giovannini, A Liverani, G Charlot, M Villamil-Castro, N Oraguzie, C P Peace. Prediction of genetic value for sweet cherry fruit maturity among environments using a 6K SNP array. Horticulture Research, 2019, 6(1): 6
https://doi.org/10.1038/s41438-018-0081-7 pmid: 30603092
7 C M Hardner, K Evans, C Brien, F Bliss, C Peace. Genetic architecture of apple fruit quality traits following storage and implications for genetic improvement. Tree Genetics & Genomes, 2016, 12(2): 20
https://doi.org/10.1007/s11295-016-0977-z
8 S Kumar , C Molloy, P Munoz, H Daetwyler, D Chagne, R Volz. Genome-enabled estimates of additive and nonadditive genetic variances and prediction of apple phenotypes across environments. G3-Genes Genomes Genetics, 2015, 5(12): 2711–2718
9 S Kumar, E Hilario, C H Deng, C Molloy. Turbocharging introgression breeding of perennial fruit crops: a case study on apple. Horticulture Research, 2020, 7(1): 47
https://doi.org/10.1038/s41438-020-0270-z pmid: 32257233
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed