iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: http://pubmed.ncbi.nlm.nih.gov/38891385/
Genetic Gain and Inbreeding in Different Simulated Genomic Selection Schemes for Grain Yield and Oil Content in Safflower - PubMed Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Jun 6;13(11):1577.
doi: 10.3390/plants13111577.

Genetic Gain and Inbreeding in Different Simulated Genomic Selection Schemes for Grain Yield and Oil Content in Safflower

Huanhuan Zhao  1   2 , Majid Khansefid  1   2 , Zibei Lin  2 , Matthew J Hayden  1   2
Affiliations

Genetic Gain and Inbreeding in Different Simulated Genomic Selection Schemes for Grain Yield and Oil Content in Safflower

Huanhuan Zhao et al. Plants (Basel). .

Abstract

Safflower (Carthamus tinctorius L.) is a multipurpose minor crop consumed by developed and developing nations around the world with limited research funding and genetic resources. Genomic selection (GS) is an effective modern breeding tool that can help to fast-track the genetic diversity preserved in genebank collections to facilitate rapid and efficient germplasm improvement and variety development. In the present study, we simulated four GS strategies to compare genetic gains and inbreeding during breeding cycles in a safflower recurrent selection breeding program targeting grain yield (GY) and seed oil content (OL). We observed positive genetic gains over cycles in all four GS strategies, where the first cycle delivered the largest genetic gain. Single-trait GS strategies had the greatest gain for the target trait but had very limited genetic improvement for the other trait. Simultaneous selection for GY and OL via indices indicated higher gains for both traits than crossing between the two single-trait independent culling strategies. The multi-trait GS strategy with mating relationship control (GS_GY + OL + Rel) resulted in a lower inbreeding coefficeint but a similar gain compared to that of the GS_GY + OL (without inbreeding control) strategy after a few cycles. Our findings lay the foundation for future safflower GS breeding.

Keywords: genetic gain; grain yield; inbreeding coefficient; safflower; seed oil content; simulation.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Workflow summary of the GS selection procedures used in the simulation for the development of selection cycles.
Figure 2
Figure 2
(a) Boxplot combined BLUEs for grain yield (GY) and seed oil content (OL) in 349 diverse safflower accessions. (b) Heatmap of genomic relationships based on genomic relationship matrix (GRM), where higher values indicate higher relatedness.
Figure 3
Figure 3
Mean and standard deviation of GEBVs in four GS selection strategies across simulated breeding cycles for grain yield (left) and seed oil content (right).
Figure 4
Figure 4
The inbreeding coefficient of four GS selection strategies at different cycles in the simulation.
See this image and copyright information in PMC

Similar articles

See all similar articles

References

    1. Meuwissen T.H., Hayes B.J. Goddard ME: Prediction of total genetic value using genome-wide dense marker maps. Genetics. 2001;157:1819–1829. doi: 10.1093/genetics/157.4.1819. - DOI - PMC - PubMed
    1. Goddard M.E., Hayes B.J. Genomic selection. J. Anim. Breed. Genet. 2007;124:323–330. doi: 10.1111/j.1439-0388.2007.00702.x. - DOI - PubMed
    1. Meuwissen T., Hayes B., Goddard M. Genomic selection: A paradigm shift in animal breeding. Anim. Front. 2016;6:6–14. doi: 10.2527/af.2016-0002. - DOI
    1. Xu Y., Li P., Zou C., Lu Y., Xie C., Zhang X., Prasanna B.M., Olsen M.S. Enhancing genetic gain in the era of molecular breeding. J. Exp. Bot. 2017;68:2641–2666. doi: 10.1093/jxb/erx135. - DOI - PubMed
    1. Cobb J.N., Juma R.U., Biswas P.S., Arbelaez J.D., Rutkoski J., Atlin G., Hagen T., Quinn M., Ng E.H. Enhancing the rate of genetic gain in public-sector plant breeding programs: Lessons from the breeder’s equation. Theor. Appl. Genet. 2019;132:627–645. doi: 10.1007/s00122-019-03317-0. - DOI - PMC - PubMed

Grants and funding

This study was funded by Agriculture Victoria Research, Victoria state government, Australia.

LinkOut - more resources