期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Effects of Different Litchi Rootstocks on Phonological Phase and Fruit Qualities of Grafted Jingganghongnuo
1
作者 Shufei ZHANG Yanling CHENG +3 位作者 Qingxiang ZHOU Gang PENG Guibing HU Fang QIAO 《Agricultural Biotechnology》 CAS 2018年第5期180-183,共4页
Phonological period and fruit quality of Jingganghongnuo (JGHN) grafted on the rootstocks of Feizixiao (FZX), Heiye (HY) and Huaizhi (HZ) respectively were recorded and comparatively studied from 2015 to 2017.... Phonological period and fruit quality of Jingganghongnuo (JGHN) grafted on the rootstocks of Feizixiao (FZX), Heiye (HY) and Huaizhi (HZ) respectively were recorded and comparatively studied from 2015 to 2017. The results showed that the whitish millets and flowering stage of JGHN grafted on FZX and HY rootstocks were respectively 3-17 days and 1-3 days earlier than those on HZ. While the fruit maturation stage was 5-7 days ahead of in the same comparative situation. Compared to fruits grafted on HZ, mean fruit weight of JGHN grafted on HY and FZX were 38.1% and 35.8% bigger respectively than that on HZ. In addition, more closely heart-shaped and brighter pericarp color of JGHN fruit were observed with rootstock of HZ than that with other two kinds of rootstocks. In terms of aborted-seed rates of JGHN, average value with rootstock FZX was 81.7%, which was 58.0% higher than that with HY, and 2.49 times of those with HZ. Vc content of JGHN grafted on HY and FZX were 30.47 and 25.86 mg/100 g respectively, significantly higher than that grafted on HZ. TSS and TA of JGHN grafted on HZ were 17.8% and 0.14%, both were obviously higher than that grafted on FZX and HY. 展开更多
关键词 Jingganghongnuo stions Phonological phase Fruit quality
下载PDF
Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine 被引量:1
2
作者 严兆大 周重光 +2 位作者 苏石川 刘震涛 王希珍 《Journal of Zhejiang University Science》 EI CSCD 2003年第2期170-174,共5页
In order to predict and improve the performance of natural gas/diesel dual fuel engine (DFE), a combustion rate model based on forward neural network was built to study the combustion process of the DFE. The effect ... In order to predict and improve the performance of natural gas/diesel dual fuel engine (DFE), a combustion rate model based on forward neural network was built to study the combustion process of the DFE. The effect of the operatin g parameters on combustion rate was also studied by means of this model. The stu dy showed that the predicted results were good agreement with the experimental d a ta. It was proved that the developed combustion rate model could be used to succ essfully predict and optimize the combustion process of dual fuel engine. 展开更多
关键词 Dual fuel engine Forward neural network Rate of combu stion
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部