Citation
Ong Ai Ling, . and Teh Chee Keng, . and Appleton David, . and Harikrishna Kulaveerasingam, . and Kwong Qi Bin, . (2017) Genomic selection: A method for accelerated improvement of oil palms. [Proceedings Paper]
Abstract
Oil palm is the most productive oil crop producing 37 of total vegetable oil from just 18 million ha or 6 of total agricultural land cultivated with oil crops Oil World 2016. Despite having yields greater than 12 MT/oil/ha/yr in breeding trials Corley and Tinker 2003 commercial yields have stagnated over the past 25 years at around 3-4 MT oil/ha/yr on average. In contrast dramatic yield increases have been realized commercially for soybean and corn through the use of biotechnology techniques. Sime Darby Plantation has invested in an extensive genomics research programme and has developed tools to facilitate the study of the genetic components of oil yield. The trait is complex and therefore suitably large populations are required for this study. For oil palm this often poses a problem as only small populations are usually available thereby restricting the trait associated information that can be gained. However using large multi-parental populations high-throughput SNP genotyping has enabled successful genetic association studies for both annual crops Huang et al. 2010; Jia et al. 2013; Li et at. 2013 and oil palm Teh et al. 2016. Genomic selection GS a genome-wide marker approach has been described as a superior method for genetic gain especially with complex traits and has proved very successful in animal breeding. We have deployed genomic selection for oil palm to facilitate shortening of the breeding cycle through removing the need for progeny testing and dura phenotyping in the case of mother palm selection. Our paper describes the development of a SNP genotyping array genome-wide association analysis GWAS for oil yield components GS methodology followed by deployment for selective oil palm breeding.
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Abstract
Oil palm is the most productive oil crop producing 37 of total vegetable oil from just 18 million ha or 6 of total agricultural land cultivated with oil crops Oil World 2016. Despite having yields greater than 12 MT/oil/ha/yr in breeding trials Corley and Tinker 2003 commercial yields have stagnated over the past 25 years at around 3-4 MT oil/ha/yr on average. In contrast dramatic yield increases have been realized commercially for soybean and corn through the use of biotechnology techniques. Sime Darby Plantation has invested in an extensive genomics research programme and has developed tools to facilitate the study of the genetic components of oil yield. The trait is complex and therefore suitably large populations are required for this study. For oil palm this often poses a problem as only small populations are usually available thereby restricting the trait associated information that can be gained. However using large multi-parental populations high-throughput SNP genotyping has enabled successful genetic association studies for both annual crops Huang et al. 2010; Jia et al. 2013; Li et at. 2013 and oil palm Teh et al. 2016. Genomic selection GS a genome-wide marker approach has been described as a superior method for genetic gain especially with complex traits and has proved very successful in animal breeding. We have deployed genomic selection for oil palm to facilitate shortening of the breeding cycle through removing the need for progeny testing and dura phenotyping in the case of mother palm selection. Our paper describes the development of a SNP genotyping array genome-wide association analysis GWAS for oil yield components GS methodology followed by deployment for selective oil palm breeding.
Additional Metadata
| Item Type: | Proceedings Paper |
|---|---|
| Additional Information: | Available at Perpustakaan Sultan Abdul Samad Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia. SB299 P3I61 2017 Call Number. |
| AGROVOC Term: | Oil palm |
| AGROVOC Term: | Oil crops |
| AGROVOC Term: | Plant breeding |
| AGROVOC Term: | Genetic improvement |
| AGROVOC Term: | Plant biotechnology |
| AGROVOC Term: | Progeny testing |
| AGROVOC Term: | Genomes |
| AGROVOC Term: | Phenotypes |
| AGROVOC Term: | Crop yield |
| Geographical Term: | MALAYSIA |
| Depositing User: | Ms. Suzila Mohamad Kasim |
| Last Modified: | 24 Apr 2025 05:15 |
| URI: | http://webagris.upm.edu.my/id/eprint/13107 |
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