Selection of parents for the Sitka spruce breeding population in Britain and the strategy for the next breeding cycle

Authors
Citation
Sj. Lee, Selection of parents for the Sitka spruce breeding population in Britain and the strategy for the next breeding cycle, FORESTRY, 74(2), 2001, pp. 129-143
Citations number
37
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Plant Sciences
Journal title
FORESTRY
ISSN journal
0015-752X → ACNP
Volume
74
Issue
2
Year of publication
2001
Pages
129 - 143
Database
ISI
SICI code
0015-752X(2001)74:2<129:SOPFTS>2.0.ZU;2-N
Abstract
Simple techniques were used to overcome the problems associated with estima ting breeding values for a number of traits prior to calculating parental m ulti-trait index values for over 800 plus trees within the Sitka spruce Gen eral Breeding Population (GBP). Progeny from different trees were planted i n half-sib tests in different years. It took an 11-year period involving nu merous sites of differing quality to complete the test establishment. The e stimation of parental breeding value was restricted to across-sites analysi s involving the mean performance of open-pollinated progeny collected from each plus tree planted over a maximum of three representative sites; in eac h case the data from each site were weighted by the family heritability for the trait and site. Standard parameter estimates for family heritability a nd phenotypic and genetic correlations, and standard values of the control common to all experiments, were calculated by averaging estimates over all across-sites analysis. Ranking of re-selected parents to form the GBP was b ased on index values calculated using multi-trait index selection. Two hund red and forty reselected parents have been allocated to one of four sub-lin es of equal mean index value. Plus trees have been ranked within each sub-l ine based on index value. Full-sib controlled pollinations according to an amended assortative mating procedure are now planned between selections wit hin each sub-line. The second generation breeding population will be create d by selecting the best individuals within the best families.