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Titlebook: Laboratory Guide to Insect Pathogens and Parasites; George O. Poinar,Gerard M. Thomas Book 1984 Plenum Press, New York 1984 Metazoa.fungi.

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書目名稱Laboratory Guide to Insect Pathogens and Parasites
編輯George O. Poinar,Gerard M. Thomas
視頻videohttp://file.papertrans.cn/581/580293/580293.mp4
圖書封面Titlebook: Laboratory Guide to Insect Pathogens and Parasites;  George O. Poinar,Gerard M. Thomas Book 1984 Plenum Press, New York 1984 Metazoa.fungi.
描述After the publication of the Diagnostic Manual for the Identification of Insect Pathogens, the authors received many queries asking why they had not included the larger metazoan parasites as well as the microbial forms. An examination of the literature indicated that pictorial guides to the identification of nematodes and the immature stages of insect parasites were unavailable. Consequently we decided to rewrite the sections cover- ing insect pathogens and combine these with new sections on ento- mogenous nematodes and the immature stages of insect parasites. The result is the present laboratory guide, which is unique in covering all types of biotic agents which are found inside insects and cause them injury or disease. Included as parasites are insects and nematodes. Among the pathogens included are viruses, rickettsias, bacteria, fungi, and protozoans. Emphasis is placed on identification with an attempt to use the most easily recognizable characters. Use of a certain number of technical terms is unavoidable, and explanations of these can be found in most biological dictionaries or the glossary of invertebrate pathology prepared by Steinhaus and Martignoni (1970).
出版日期Book 1984
關鍵詞Metazoa; fungi; insects; parasites; protozoa; Tree Biology
版次1
doihttps://doi.org/10.1007/978-1-4684-8544-8
isbn_softcover978-1-4684-8546-2
isbn_ebook978-1-4684-8544-8
copyrightPlenum Press, New York 1984
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George O. Poinar Jr.,Gerard M. Thomase-time stochas- tic system whose transition mechanism can be controlled over time. Each control policy defines the stochastic process and values of objective functions associated with this process. The goal is to select a "good" control policy. In real life, decisions that humans and computers make
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George O. Poinar Jr.,Gerard M. Thomase-time stochas- tic system whose transition mechanism can be controlled over time. Each control policy defines the stochastic process and values of objective functions associated with this process. The goal is to select a "good" control policy. In real life, decisions that humans and computers make
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