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Selecting for Nut Characteristics in Macadamia Using a Genome-wide Association Study

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O'Connor, K. M., Hayes, B., Hardner, C., Alam, M. and Topp, B. L. (2019) Selecting for Nut Characteristics in Macadamia Using a Genome-wide Association Study. HortScience horts, 54 (4). pp. 629-632. ISSN 0018-5345


Article Link: https://doi.org/10.21273/HORTSCI13297-18

Publisher URL: https://journals.ashs.org/hortsci/view/journals/hortsci/54/4/article-p629.xml


Current macadamia breeding programs involve a lengthy and laborious two-stage selection process: evaluation of a large number of unreplicated seedling progeny, followed by replicated trials of clonally propagated elite seedlings. Yield component traits, such as nut-in-shell weight (NW), kernel weight (KW), and kernel recovery (KR) are commercially important, are more easily measured than yield, and have a higher heritability. A genome-wide association study (GWAS) combined with marker-assisted selection offers an opportunity to reduce the time of candidate evaluation. In this study, a total of 281 progeny from 32 families, and 18 of their 29 parents have been genotyped for 7126 single nucleotide polymorphism (SNP) markers. A GWAS was performed using ASReml with 4352 SNPs. We found five SNPs significantly associated with NW, nine with KW, and one with KR. Further, three of the top 10 markers for NW and KW were shared between the two traits. Future macadamia breeding could involve prescreening of individuals for desired traits using these significantly associated markers, with only predicted elite individuals continuing to the second stage of selection, thus potentially reducing the selection process by 7 years.

Item Type:Article
Corporate Creators:Department of Agriculture and Fisheries, Queensland
Business groups:Horticulture and Forestry Science
Keywords:GWAS; nut weight; kernel weight; kernel recovery; SNP markers; breeding
Subjects:Science > Botany > Genetics
Plant culture > Tree crops
Plant culture > Food crops
Plant culture > Fruit and fruit culture > Nuts
Live Archive:03 Jan 2024 23:54
Last Modified:19 Jan 2024 00:22

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