| |
| DOI: | 10.1007/s00122-018-3121-7 |
|---|
| Web URL(s): | https://link.springer.com/article/10.1007/s00122-018-3121-7
Last checked: 10/10/2018
https://link.springer.com/content/pdf/10.1007%2Fs00122-018-3121-7.pdf
Last checked: 10/10/2018
Requires: PDF Reader |
|---|
| Publication Type:
| Refereed |
|---|
| Author(s): | Pembleton, Luke W.;
Inch, Courtney;
Baillie, Rebecca C.;
Drayton, Michelle C.;
Thakur, Preeti;
Ogaji, Yvonne O.;
Spangenberg, German C.;
Forster, John W.;
Daetwyler, Hans D.;
Cogan, Noel O. I. |
|---|
| Author Affiliation: | Pembleton, Baillie, Drayton, Thakur, and Ogaji: Agriculture Victoria Research, AgriBio, Centre for AgriBioscience, Bundoora, Australia; Inch: New Zealand Agriseeds, Christchurch, New Zealand; Spangenberg, Forster, Daetwyler, and Cogan: Agiculture Victoria Research, AgriBio, Centre for AgriBioscience, Bundoora, Australia and School of Applied Systems Biology, La Trobe University, Bundoora, Australia |
|---|
| Title: | Exploitation of data from breeding programs supports rapid implementation of genomic selection for key agronomic traits in perennial ryegrass |
|---|
| Source: | Theoretical and Applied Genetics. Vol. 131, No. 9, September 2018, p. 1891-1902. |
|---|
| Publishing Information: | Berlin, Germany: Springer |
|---|
| # of Pages: | 12 |
|---|
| Keywords: | TIC Keywords: Biomass determination; Breeding program; Forage crops; Genetic analysis; Lolium; Performance factors; Relative yield total
|
|---|
| Abstract/Contents: | "Genomic selection, which uses genome-wide sequence polymorphism data and quantitative genetics techniques to predict plant performance, has large potential for the improvement in pasture plants. Major factors influencing the accuracy of genomic selection include the size of reference populations, trait heritability values and the genetic diversity of breeding populations. Global diversity of the important forage species perennial ryegrass is high and so would require a large reference population in order to achieve moderate accuracies of genomic selection. However, diversity of germplasm within a breeding program is likely to be lower. In addition, de novo construction and characterisation of reference populations are a logistically complex process. Consequently, historical phenotypic records for seasonal biomass yield and heading date over a 18-year period within a commercial perennial ryegrass breeding program have been accessed, and target populations have been characterised with a high-density transcriptome-based genotyping-by-sequencing assay. Ability to predict observed phenotypic performance in each successive year was assessed by using all synthetic populations from previous years as a reference population. Moderate and high accuracies were achieved for the two traits, respectively, consistent with broad-sense heritability values. The present study represents the first demonstration and validation of genomic selection for seasonal biomass yield within a diverse commercial breeding program across multiple years. These results, supported by previous simulation studies, demonstrate the ability to predict sward-based phenotypic performance early in the process of individual plant selection, so shortening the breeding cycle, increasing the rate of genetic gain and allowing rapid adoption in ryegrass improvement programs." |
|---|
| Language: | English |
|---|
| References: | 37 |
|---|
| Note: | Heatmap
Tables
Graphs |
|---|
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Pembleton, L. W., C. Inch, R. C. Baillie, J. C. Drayton, P. Thakur, Y. O. Ogaji, et al. 2018. Exploitation of data from breeding programs supports rapid implementation of genomic selection for key agronomic traits in perennial ryegrass. Theor. Appl. Genet. 131(9):p. 1891-1902. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=301269 |
| If there are problems with this record, send us feedback about record 301269. |
| Choices for finding the above item: |
|---|
| DOI: 10.1007/s00122-018-3121-7 |
| Web URL(s):
https://link.springer.com/article/10.1007/s00122-018-3121-7
Last checked: 10/10/2018
https://link.springer.com/content/pdf/10.1007%2Fs00122-018-3121-7.pdf
Last checked: 10/10/2018
Requires: PDF Reader |
| 
MSU catalog number: b2203373 |
| Find from within TIC:
Physical sequential file in TIC. |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
