关键词: 火炬松, 基因资源, 育种值, 选择

Abstract:

This study tested 258 families of Loblolly pine (Pinus taeda) with different genetically improved levels introduced from the USA. A mixed linear model in terms of restricted maximum likelihood estimate (REML) and best linear unbiased prediction (BLUP) was used to predict breeding values of height and diameter at breast height (DBH) for the tested families and single trees at the age of 14 years. The phylogenetic relationship matrix was used to promote the accurate of the prediction. The control-pollinated families had 1.40 cm of average gain for DBH, being the highest gain in the whole trail. Thirty nine excellent families, accounting for 15% of all the tested families, were selected based on the predicted breeding values. These families could be re-introduced from the USA and used for afforestation. By using combined selection 77 individuals, accounting for 1% of all the tested trees, were selected to enrich the second generation breeding population. Ten individuals among them were selected into the second generation nucleus breeding population, remaining 67 into the second generation main breeding population. The accurate prediction based on BLUP and the selection based on individual tree breeding values in the advanced-generation breeding program would improve the accuracy and the genetic gain of selection. The breeding program and the trail design should be improved to achieve the maximum effect when using the advanced statistics method such as ASReml. The balanced incomplete block design (BIB) could be used to conduct the field experiment design when the families involved in the trail were too many, which would help to evaluate the factors in the trail and award the maximum achievement.

Key words: Pinus taeda, gene resource, breeding value, selection