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目前,杂种优势的预测方法有线粒体互补法、酵母测定法、叶绿体测定法及遗传距离法等。但这些方法的准确率不高,使其应用受到限制。人们知道,杂种优势是生物体内一系列代谢表现的结果,其中每一个代谢过程都需要特定的酶催化,因此,杂种优势的产生原因与酶有关。 许多资料表明,同工酶谱类型与杂种优势有一定关系,但规律不明显,同一酶谱类型。各杂种间出现优势的差异很大,这就给根据杂种的同工酶类型来预测杂种优势带来了一定的模糊性;同时,用不同酶的同工酶谱型预测,会有不同的结果,更增加了预测结果的不可靠性。利用模糊数学方法进行处理,或许能达到较准确预测优势的目的。
Currently, heterosis prediction methods include mitochondrial complement, yeast assay, chloroplast assay and genetic distance method. However, the accuracy of these methods is not high, so its application is limited. It is known that heterosis is the result of a series of metabolic manifestations in the organism, and each of the metabolic processes requires specific enzyme catalysis. Therefore, the heterosis is related to the enzyme. Many data show that isozyme patterns and heterosis have some relationship, but the law is not obvious, the same type of zymogram. Differences in the superiorities among the hybrids are substantial, which gives some ambiguity in predicting the heterosis based on the isozyme type of the hybrid; at the same time, predictions of isoenzyme patterns of different enzymes have different consequences , But also adds to the unreliability of the forecast results. The use of fuzzy mathematics for processing, may be able to achieve a more accurate prediction of the purpose of advantage.