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本文所研究的总体为江淮下游大豆地方品种群体,供试材料为由78个品种组成的随机样本,在构作产量改进的选择指数式时,穷举R~2方法,或最小R~2法、最大R~2法等适当的逐步回归方法是选用指数性状的有效方法。除产量外,从17种性状中还选出单株粒重、茎粗、倒伏之程度、结荚高度、瘪粒率及一些其他性状用于构作各种选择指数式。凡不包括产量本身的选择指数式,仅能提供相当于单独产量选择时65—80％的选择进度,包括产量本身的选择指数式,可以提供与单独产量选择一样或稍高的选择进度。在包含产量本身的选择指数式中,增添性状对改进选择进度并不明显。本地区地方品种产量改进的育种中,指数式3ey、4y、5y可用于准确的产量试验以前的育种早期阶段。
In this paper, the population of soybean cultivars in the lower reaches of the Yangtze-Huaihe River was studied, and the tested materials were random samples composed of 78 cultivars. When the index of selection for improving yield was constructed, exhaustive R 2 method or minimal R 2 method , The largest R ~ 2 method and other appropriate stepwise regression method is an effective method of selection of index traits. In addition to the yield, grain weight, stem diameter, degree of lodging, pod height, clump rate and some other traits were selected from 17 traits for the construction of various selection index formulas. Where the index of choice does not include the yield itself, it can only provide a choice of 65-80% as much as the individual yield, including the selection index of the yield itself, which can provide the same or a slightly higher choice of schedule as an individual yield. In the selection index that includes the yield itself, adding traits is not obvious for improving the selection progress. In the breeding of improved yield of local varieties in the region, the exponential 3ey, 4y, 5y can be used in the early breeding stage before the accurate yield test.