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本文提出分析大麦麦芽品质性状世代平均数的遗传模型．根据麦芽性状的特点，该模型将控制麦芽性状的总遗传效应(G)分解为萌动胚（下简称胚）基因效应(Go)和胚乳基因效应(Ge)．而Go又可分解为胚加性效应(Ao)和胚显性效应(Do)遗传分量，Ge则可分解为胚乳加性效应(Ae)和胚乳显性效应（De)遗传分量．采用MINQUE（0／1）法估算各项遗传方差分量和胚基因与胚乳基因之间的遗传协方差分量，无偏地预测各项遗传效应值．作为分析实例，本文对7个二棱大麦品种及其半双列杂交F_2的麦芽库尔巴哈指数和α-氨基氮含量资料进行了分析，并与两个缩减模型的结果作了比较．
This paper presents a genetic model for analyzing the average number of generations of barley malt quality traits. According to the characteristics of malting traits, the model decomposes the total genetic effect (G) of controlling malting traits into Go and Germ gene effects (Ge). However, Go can be decomposed into the genetic component of embryo additive effect (Ao) and embryonic effect (Do), while Ge can be decomposed into the genetic component of endosperm additive effect (Ae) and endosperm dominance effect (De). The genetic variance components and the genetic covariance between embryo genes and endosperm genes were estimated using the MINQUE (0/1) method to predict the genetic effect without bias. As an example of analysis, the data of malting Koolbach index and α-amino nitrogen of seven bilateral barley cultivars and their semi-dual-line hybrid F_2 were analyzed and compared with the results of two reduced models.