Unequal deployment of clones to seed orchards by considering genetic gain, relatedness and gene diversity

Related clones in seed orchards lead to inbreeding depressionand reduced genetic value of the seeds. This study aims to developthe methodology for deployment of related clones to seed orchardswhen the breeding value and the pedigree are available for eachcandidate. The following goals were considered: high geneticgain, high genetic gain adjusted for predicted inbreeding depression(net gain), high gene diversity, and high effective clone number.The selection strategies included truncation selection withor without relatedness restrictions, maximizing genetic gain(linear deployment) with or without restrictions on relatednessand maximizing net gain. The selection strategies were appliedto Norway spruce seed orchard candidates evaluated in clonaltests. The material comprised full-sib and half-sib relationships.Comparisons were made both at the same gene diversity and atthe effective clone number. Maximizing net gain by unequal rametnumber deployment resulted in considerable higher net gain anda considerable reduction of related ramets in many comparisons.Linear deployment restricted against related clones comparedat the same status number resulted in almost as high net gain.Reduction in gene diversity may be a more important reason toavoid relatives in seed orchards than the subsequent inbreedingfor achieving a high net gain.     

杨树长期育种中遗传测定效率理论分析

The major goal for long-term poplar breeding can be formulated as maximizing annual progress in Group Merit Gain at a given annual budget （GMG/Y＊）. To evaluate different breeding scenarios, a deterministic simulator BREEDING CYCLE ANALYZER covering the most important aspects （gain, cost, time, technique, and gene diversity） of a full breeding cycle was used. The breeding strategies considered was based on pairwise crossing of the selected breeding population and balanced within family selection for the next breeding population. A main scenario and a number of alternative scenarios within these constraints were evaluated using estimates of the best available inputs for poplars. In focus was a comparison between three different testing scenarios for selecting the parents mated to create future breeding generations, thus selecting based on phenotype, clone test or progeny test. For the main scenario, the highest GMG/Y, and the optimal selection age for clone, phenotype and progeny strategies were 0.7480 %, 0.6989% and 0.4675%; 7, 6, and 11 years respectively. Clone test was best except when heritability was high, plant price was high or total budget was low; phenotype strategy was the second except for the case of extremely low narrow-sense heritability, for which the progeny strategy was a little more efficient than phenotype strategy. GMG/Y was markedly affected by narrow-sense heritability, additive variance at mature age, rotation age, plant-dependent cost, total budget and the time needed to produce the test plants, while diversity loss and recombination cost had rather weak effect on GMG/Y. Short rotation age and cheap testing cost favoured all three testing strategies. Comparably short rotation age, low plant-dependent cost and high total budget seem to promote early selection for progeny strategy.