ABSTRACT Choosing traits for breeding requires financial and genetic information. This study introduces a theoretically sound and empirically detailed assessment setup for analyzing two traits from the financial perspective: decay resistance and tree growth. The analysis is conducted in two stages: first (1), a stand-level optimization analysis is applied producing maximum bare land value with the presence of enhanced tree growth or decay resistance. Realized genetic improvement effects in growth were incorporated in the existing growth models by means of genetic multipliers. For decay resistance the genetic gain was based on an assumption of full resistance to decay. Then (2), applying the optimal solutions as outputs, and investments for enhanced tree growth and decay resistance as inputs in a data envelopment analysis, DEA efficient frontiers for three climatic regions, Southern, Central and Northern Finland were revealed. The results indicated that focusing on tree growth in Southern Finland would be more beneficial than in Central and Northern Finland. Further, the DEA showed that efficient frontiers are not identical among the climatic regions, suggesting that separate breeding goals would be applied, too.

中文翻译：

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使用站级优化和数据包络分析对替代育种目标进行财务评估

摘要 选择育种性状需要财务和遗传信息。本研究介绍了一种理论上合理且经验上详细的评估设置，用于从财务角度分析两个特征：抗腐性和树木生长。分析分两个阶段进行：首先 (1)，应用林分级优化分析，产生最大的裸地价值，并存在增强的树木生长或抗腐能力。通过遗传乘数将已实现的遗传改良效应纳入现有的生长模型中。对于抗腐性，遗传增益基于完全抗腐性的假设。然后（2），将最佳解决方案作为输出，将提高树木生长和抗腐能力的投资作为数据包络分析的输入，揭示了芬兰南部、中部和北部三个气候区的 DEA 有效边界。结果表明，专注于芬兰南部的树木生长比芬兰中部和北部更有利。此外，DEA 表明，气候区域之间的有效边界并不相同，这表明也将应用单独的育种目标。