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Autotoxicity of Water Extracts and Decomposition Liquids of Tumorous Stem Mustard(Brassica juncea var.tumida Tsen et Lee) Residues on Seed Germination and Seedling Growth of Tumorous Stem Mustard
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作者 Bo JIANG Xianrong ZHOU +4 位作者 Jin SHANG Jianhua WANG Changman LI Huichao WANG Miao YANG 《Agricultural Science & Technology》 CAS 2016年第7期1519-1524,1529,共7页
[Objective] This study aimed to explore whether there is autotoxicity in tumorous stem mustard through studying the allelopathic effects of water extracts and decomposition liquids of tumorous stem mustard residues on... [Objective] This study aimed to explore whether there is autotoxicity in tumorous stem mustard through studying the allelopathic effects of water extracts and decomposition liquids of tumorous stem mustard residues on seed germination and seedling growth of tumorous stem mustard.[Method] With Fuza No.2 as the experimental material,the effects of different concentrations of leaf extract,root extract,7-d decomposition liquid,15-d decomposition liquid of tumorous stem mustard on seed germination and seedling growth of tumorous stem mustard were investigated.[Result] Compared with those in the control,the four kinds of 100% treatment solutions all significantly reduced the seed germination rate,seed germination vigor,root length,plant height and fresh weight of tumorous stem mustard(P<0.05),and significantly increased the malondialdehyde(MDA) content,catalase(CAT) activity,peroxidase(POD) activity and superoxide dismutase(SOD) activity of young seedlings of tumorous stem mustard;the allelopathic effects of the four kinds of water extracts and decomposition liquids on seed germination and root length of tumorous stem mustard were weakened with the decreased concentration;for the four kinds of water extracts and decomposition liquids,low-concentration treatment solutions promoted the increase of plant height and fresh weight,while high-concentration treatment solutions inhibited the increase of plant height and fresh weight of young seedlings of tumorous stem mustard;the allelopathic effect of leaf extract on seed germination of tumorous stem mustard was stronger than those of root extract and decomposition liquids,the allelopathic effects of decomposition liquids on seedling growth of tumorous stem mustard were stronger than those of water extracts,the inhibitory effect of leaf extract on seed germination and seedling growth of tumorous stem mustard were stronger than that of root extract,and the inhibitory effect of 15-d decomposition liquid on seed germination and seedling growth of tumorous stem mustard was stronger than that of 7-d decomposition liquid.[Conclusion] The water extracts and decomposition liquids of tumorous stem mustard residues had certain autotoxicity on seed germination and seedling growth of tumorous stem mustard,and their allelopathic effects had a concentration-dependent manner.It could be presumed that the autotoxicity of tumorous stem mustard is the main cause of continuous cropping obstacle. 展开更多
关键词 germination seedling residues extracts liquids length stronger superoxide catalase peroxidase
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Prediction of shelled shrimp weight by machine vision 被引量:2
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作者 Peng-min PAN Jian-ping LI Gu-lai LV Hui YANG Song-ming ZHU Jian-zhong LOU 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 SCIE CAS CSCD 2009年第8期589-594,共6页
The weight of shelled shrimp is an important parameter for grading process.The weight prediction of shelled shrimp by contour area is not accurate enough because of the ignorance of the shrimp thickness.In this paper,... The weight of shelled shrimp is an important parameter for grading process.The weight prediction of shelled shrimp by contour area is not accurate enough because of the ignorance of the shrimp thickness.In this paper,a multivariate prediction model containing area,perimeter,length,and width was established.A new calibration algorithm for extracting length of shelled shrimp was proposed,which contains binary image thinning,branch recognition and elimination,and length reconstruction,while its width was calculated during the process of length extracting.The model was further validated with another set of images from 30 shelled shrimps.For a comparison purpose,artificial neural network(ANN) was used for the shrimp weight predication.The ANN model resulted in a better prediction accuracy(with the average relative error at 2.67%),but took a tenfold increase in calculation time compared with the weight-area-perimeter(WAP) model(with the average relative error at 3.02%).We thus conclude that the WAP model is a better method for the prediction of the weight of shelled red shrimp. 展开更多
关键词 Shelled shrimp Image Feature length extracting Weight prediction Weight-area-perimeter (WAP) model
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