Faculty of Agriculture, The Hebrew University, Rehovot, Israel.
Theor Appl Genet. 1979 May;55(3-4):161-7. doi: 10.1007/BF00295443.
The ability of the Hayman and Jinks method of analysis of diallel crosses to detect genic interactions was studied in peanuts. Six traits, measured in the F2 generation of a diallel cross of four cultivars, were analyzed. In F2 analyses of the diallel, least squares estimates of variance components D, H1 , H2, F, E, were used as an additional criteria for the adequacy of the diallel model. They were found to be in substantial agreement with the tests based on Wr and Vr values, and probably more reliable. The regression of Wr on Vr was shown to be unsuitable to detect 'duplicate gene' type of interactions; it was detected, however, by the ratio of the mean within-F2 - family variance and the variance among the parents. Using the different criteria, 'duplicate genes' type of interactions was detected for two traits, 'complementary genes' type was detected for one trait and three traits were found to fit the additive-dominance model without any genic interactions.
研究了海曼和詹金斯(Hayman and Jinks)分析双列杂交的方法在花生育种中检测基因互作的能力。对四个品种杂交的 F2 代的六个性状进行了分析。在双列分析中,方差分量 D、H1、H2、F、E 的最小二乘估计被用作双列模型充分性的附加标准。它们与基于 Wr 和 Vr 值的检验非常吻合,而且可能更可靠。Wr 对 Vr 的回归不适用于检测“重复基因”类型的相互作用;然而,它可以通过 F2 内家族方差均值与亲本方差之间的比值来检测。使用不同的标准,检测到了两个性状的“重复基因”类型的相互作用,一个性状的“互补基因”类型的相互作用,以及三个性状适合于没有任何基因相互作用的加性-显性模型。