[Objective] The research aimed to study the yield prediction model of processing tomato based on the grey system theory.[Method] The variation trend of processing tomato yield was studied by using the grey system theo...[Objective] The research aimed to study the yield prediction model of processing tomato based on the grey system theory.[Method] The variation trend of processing tomato yield was studied by using the grey system theory,and GM（1,1）grey model of processing tomato yield prediction was established.The processing tomato yield in Xinjiang during 2001-2009 was as the example to carry out the instance analysis.[Result] The model had the high forecast accuracy and strong generalization ability,and was reliable for the prediction of recent processing tomato yield.[Conclusion] The research provided the reference for the macro-control of tomato industry,the processing and storage of tomato in Xinjiang.展开更多
The effects of nitrogen on grain yield, nutritional quality and processing quality of wheat for different end uses were studied in Yangzhou from 2000 to 2002. Increasing N application amount and/or the ratio of topdre...The effects of nitrogen on grain yield, nutritional quality and processing quality of wheat for different end uses were studied in Yangzhou from 2000 to 2002. Increasing N application amount and/or the ratio of topdressing N after elongation stage could raise grain yield, protein content, wet gluten content, sedimentation, falling number, development time and stability time. To produce strong-gluten and medium-gluten wheat, the suitable ratio of basis : tillering : elongation : booting N fertilizer was 3:1:3:3or5:1:2:2 with 180 - 240 kg N ha-1. To produce weak-gluten wheat, the ratio of basis : tillering : elongation N fertilizer should be 7 : 1 : 2 with 180 kg N ha-1 and 240×104 ha-1 seedlings.展开更多
Process Capability Analysis (PCA) is a powerful too l to assess the ability of a process for manufacturing product that meets specific ations. The larger process capability index implies the higher process yield, a nd...Process Capability Analysis (PCA) is a powerful too l to assess the ability of a process for manufacturing product that meets specific ations. The larger process capability index implies the higher process yield, a nd the larger process capability index also indicates the lower process expected loss. Chen et al. (2001) has applied indices C pu, C pl, and C pk for evaluating the process capability for a multi-process product wi th smaller-the-better, larger-the-better, and nominal-the-best specificati ons respectively. However, C pk cannot reasonably reflect the process expected loss. In this paper, index C pn is selected to replace C pk. Indices C pu, C pl, and C pn are used to evalu ate the entire process capability for a multi-process product with smaller-the -better, larger-the-better, and nominal-the-best specifications respectivel y. An integrated process capability index for a multi-process product is propo sed. The relationship between process capability index and the process yield is introduced. A multi-process capability analysis chart (MPCAC), reasonably rev ealing the status of process capability for the entire product, is constructed f or practical application. An evaluating procedure of the process capability for the entire product is also provided.展开更多
基金Supported by National Natural Science Fund Item(61064005)~~
文摘[Objective] The research aimed to study the yield prediction model of processing tomato based on the grey system theory.[Method] The variation trend of processing tomato yield was studied by using the grey system theory,and GM（1,1）grey model of processing tomato yield prediction was established.The processing tomato yield in Xinjiang during 2001-2009 was as the example to carry out the instance analysis.[Result] The model had the high forecast accuracy and strong generalization ability,and was reliable for the prediction of recent processing tomato yield.[Conclusion] The research provided the reference for the macro-control of tomato industry,the processing and storage of tomato in Xinjiang.
基金supported by the Nationa1 Natural Science Foundation of China(30170540)the Foundation for University Key Teacher by the Ministry of Education,China(GG-901-11117-1003).
文摘The effects of nitrogen on grain yield, nutritional quality and processing quality of wheat for different end uses were studied in Yangzhou from 2000 to 2002. Increasing N application amount and/or the ratio of topdressing N after elongation stage could raise grain yield, protein content, wet gluten content, sedimentation, falling number, development time and stability time. To produce strong-gluten and medium-gluten wheat, the suitable ratio of basis : tillering : elongation : booting N fertilizer was 3:1:3:3or5:1:2:2 with 180 - 240 kg N ha-1. To produce weak-gluten wheat, the ratio of basis : tillering : elongation N fertilizer should be 7 : 1 : 2 with 180 kg N ha-1 and 240×104 ha-1 seedlings.
文摘Process Capability Analysis (PCA) is a powerful too l to assess the ability of a process for manufacturing product that meets specific ations. The larger process capability index implies the higher process yield, a nd the larger process capability index also indicates the lower process expected loss. Chen et al. (2001) has applied indices C pu, C pl, and C pk for evaluating the process capability for a multi-process product wi th smaller-the-better, larger-the-better, and nominal-the-best specificati ons respectively. However, C pk cannot reasonably reflect the process expected loss. In this paper, index C pn is selected to replace C pk. Indices C pu, C pl, and C pn are used to evalu ate the entire process capability for a multi-process product with smaller-the -better, larger-the-better, and nominal-the-best specifications respectivel y. An integrated process capability index for a multi-process product is propo sed. The relationship between process capability index and the process yield is introduced. A multi-process capability analysis chart (MPCAC), reasonably rev ealing the status of process capability for the entire product, is constructed f or practical application. An evaluating procedure of the process capability for the entire product is also provided.
