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Year | Number of Results |
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2009 | 1 |
2021 | 2 |
2023 | 3 |
2024 | 1 |
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Page 1
Optimising clonal performance in sugarcane: leveraging non-additive effects via mate-allocation strategies.
Front Plant Sci. 2023 Nov 10;14:1260517. doi: 10.3389/fpls.2023.1260517. eCollection 2023.
Front Plant Sci. 2023.
PMID: 38023905
Free PMC article.
Accuracy of genomic prediction of complex traits in sugarcane.
Hayes BJ, Wei X, Joyce P, Atkin F, Deomano E, Yue J, Nguyen L, Ross EM, Cavallaro T, Aitken KS, Voss-Fels KP.
Hayes BJ, et al. Among authors: atkin f.
Theor Appl Genet. 2021 May;134(5):1455-1462. doi: 10.1007/s00122-021-03782-6. Epub 2021 Feb 15.
Theor Appl Genet. 2021.
PMID: 33590303
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Use of continuous genotypes for genomic prediction in sugarcane.
Yadav S, Ross EM, Wei X, Liu S, Nguyen LT, Powell O, Hickey LT, Deomano E, Atkin F, Voss-Fels KP, Hayes BJ.
Yadav S, et al. Among authors: atkin f.
Plant Genome. 2024 Mar;17(1):e20417. doi: 10.1002/tpg2.20417. Epub 2023 Dec 8.
Plant Genome. 2024.
PMID: 38066702
Free article.
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Improved genomic prediction of clonal performance in sugarcane by exploiting non-additive genetic effects.
Yadav S, Wei X, Joyce P, Atkin F, Deomano E, Sun Y, Nguyen LT, Ross EM, Cavallaro T, Aitken KS, Hayes BJ, Voss-Fels KP.
Yadav S, et al. Among authors: atkin f.
Theor Appl Genet. 2021 Jul;134(7):2235-2252. doi: 10.1007/s00122-021-03822-1. Epub 2021 Apr 26.
Theor Appl Genet. 2021.
PMID: 33903985
Free PMC article.
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Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non-additive variation for key traits.
Chen C, Powell O, Dinglasan E, Ross EM, Yadav S, Wei X, Atkin F, Deomano E, Hayes BJ.
Chen C, et al. Among authors: atkin f.
Plant Genome. 2023 Dec;16(4):e20390. doi: 10.1002/tpg2.20390. Epub 2023 Sep 20.
Plant Genome. 2023.
PMID: 37728221
Free article.
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Impact of depth of pedigree and inclusion of historical data on the estimation of additive variance and breeding values in a sugarcane breeding program.
Atkin FC, Dieters MJ, Stringer JK.
Atkin FC, et al.
Theor Appl Genet. 2009 Aug;119(3):555-65. doi: 10.1007/s00122-009-1065-7. Epub 2009 Jul 14.
Theor Appl Genet. 2009.
PMID: 19597798
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