scholarly journals Accelerating forest tree breeding by integrating genomic selection and greenhouse phenotyping

2020 ◽  
Vol 13 (3) ◽  
Author(s):  
Filipe C. Alves ◽  
Kelly M. Balmant ◽  
Marcio F. R. Resende ◽  
Matias Kirst ◽  
Gustavo los Campos
Keyword(s):  
Genomic Selection ◽  
Tree Breeding ◽  
Forest Tree ◽  
Forest Tree Breeding

Genomic selection in forest tree breeding

2010 ◽  
Vol 7 (2) ◽  
pp. 241-255 ◽  
Author(s):  
Dario Grattapaglia ◽  
Marcos D. V. Resende
Keyword(s):  
Genomic Selection ◽  
Tree Breeding ◽  
Forest Tree ◽  
Forest Tree Breeding

scholarly journals Genomic selection in forest tree breeding: the concept and an outlook to the future

New Forests ◽  
2014 ◽  
Vol 45 (3) ◽  
pp. 379-401 ◽  
Author(s):  
Fikret Isik
Keyword(s):  
Genomic Selection ◽  
Tree Breeding ◽  
Forest Tree ◽  
Forest Tree Breeding ◽  
The Future

Establishment of a quasi-field trial in Abies nordmanniana—test of a new approach to forest tree breeding

2009 ◽  
Vol 6 (2) ◽  
pp. 345-355 ◽  
Author(s):  
Ole K. Hansen ◽  
Lea V. McKinney
Keyword(s):  
Field Trial ◽  
Tree Breeding ◽  
Forest Tree ◽  
Forest Tree Breeding ◽  
New Approach ◽  
Abies Nordmanniana

scholarly journals Survey of past, current and future Swedish forest tree breeding.

Silva Fennica ◽  
1991 ◽  
Vol 25 (4) ◽  
Author(s):  
Öje Danell
Keyword(s):  
Tree Breeding ◽  
Forest Tree ◽  
Forest Tree Breeding

scholarly journals Application of biotechnology to forest tree breeding.

Silva Fennica ◽  
1991 ◽  
Vol 25 (4) ◽  
Author(s):  
Hely Häggman
Keyword(s):  
Tree Breeding ◽  
Forest Tree ◽  
Forest Tree Breeding

Simulation of hybrid forest tree breeding strategies

2004 ◽  
Vol 34 (1) ◽  
pp. 195-208 ◽  
Author(s):  
R J Kerr ◽  
M J Dieters ◽  
B Tier ◽  
H S Dungey
Keyword(s):  
Recurrent Selection ◽  
Parental Species ◽  
Tree Breeding ◽  
Forest Tree ◽  
Alternative Methods ◽  
Breeding Strategies ◽  
Reciprocal Recurrent Selection ◽  
Forest Tree Breeding ◽  
Forward Selection ◽  
Pure Species

Computer simulation is the only realistic method of evaluating alternative methods of breeding hybrid forest trees. Empirical tests would be very long term and expensive. This paper describes the development of a simulation program, called XSIM, which generates two different but closely related outcrossing tree species. The genetic correlation between performance in each parental species and performance in the resulting hybrid can be set, in addition to the amounts and types of variances in each parental species. The breeding strategies available for testing include conventional reciprocal recurrent selection, reciprocal recurrent selection with forward selection, recurrent selection within each pure species, and the creation of a synthetic species. XSIM allows the strategies to be compared using the same base populations, equivalent selection intensities, and comparable mating patterns. Innovative best linear unbiased prediction procedures allow all ancestral and current progeny generation data, from both parental species and the hybrid, to be analysed together. The theoretical basis for the simulation is given, and genetic and statistical models are described. In summary, XSIM allows rigorous comparisons of the strategies in terms of genetic gain per time and provides useful insight into hybrid forest tree breeding.

Quantitative genomics of forest-tree breeding.

2020 ◽  
pp. 109-141
Author(s):  
R. Mellan ◽  
M. Kirst
Keyword(s):  
Tree Breeding ◽  
Forest Tree ◽  
Forest Tree Breeding ◽  
Quantitative Genomics
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