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Position: Home > Articles > Studied on Traits of Super-maize by BP Neural Network Journal of Maize Sciences 2008,16 (6) 42-43+47

BP神经网络模型对超级玉米性状的研究

作  者:
孙志超;荆绍凌;刘文国;张志军;周小辉;任军;岳尧海;张建新
单  位:
吉林省农业科学院玉米研究所
关键词:
超级玉米;BP神经网络模型;植株性状
摘  要:
通过BP神经网络模型对超级玉米性状进行了研究。结果表明,在选育超级玉米杂交种时,和平均值相比,黑穗病和空秆率要小,容重适当降低,百粒重稍高,穗行数14行以上,秃尖小,晚熟,耐密。
译  名:
Studied on Traits of Super-maize by BP Neural Network
作  者:
SUN Zhi-chao,JING Shao-ling,LIU Wen-guo,et al.(Maize Research Institute,Jilin Academy of Agricultural Sciences,Changchun 130033,China)
关键词:
Super-maize;BP neural network;Traits
摘  要:
Traits of super-maize were studied by BP neural network in this paper.The results showed that when breeding super-maize,compared with the average values,maize head smut ratio should be low,barren stem ratio should be low,volume weight should be decreased slightly,and 100-grain weight should be increased appropriately,ear row number should be 14 or more,barren ear tips length should be less,maturity date should be late and plant type should be compact.

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