Academic Thesis

Basic information

Name Mekata Tohru
Belonging department
Occupation name
researchmap researcher code B000288235
researchmap agency Okayama University of Science

Title 

New method for detecting Kudoa septempunctata from adult flounder Paralichthys olivaceus by muscle biopsy

					

					

						

							

								

									
Bibliography　Type 

									
								

							

						

						
Joint Author

					

					

						

							

								

									
Author 

									
								

							

						

						
Nariaki Inoue,Jun Satoh,Tohru Mekata,Toyohiro Nishioka,Koh Ichiro Mori

					

					

						

							

								

									
Summary 

									
								

							

						

						

					

					

						

							

								

									
Magazine(name) 

									
								

							

						

						
Nippon Suisan Gakkaishi (Japanese Edition)

					

					

						

							

								

									
Publisher 

									
								

							

						

						

					

					

						

							

								

									
Volume 

									
								

							

						

						
82

					

					

						

							

								

									
Number Of Pages 

									
								

							

						

						
5

					

					

						

							

								

									
StartingPage 

									
								

							

						

						
771

					

					

						

							

								

									
EndingPage 

									
								

							

						

						
773

					

					

						

							

								

									
Date of Issue 

									
								

							

						

						
2016/08

					

					

						

							

								

									
Referee 

									
								

							

						

						
Exist

					

					

						

							

								

									
Invited 

									
								

							

						

						
Not exist

					

					

						

							

								

									
Language 

									
								

							

						

						

					

					

						

							

								

									
Thesis　Type 

									
								

							

						

						
Research papers (academic journals)

					

					

						

							

								

									
ISSN 

									
								

							

						

						
0021-5392

					

					

						

							

								

									
DOI 

									
								

							

						

						
10.2331/suisan.16-00004

					

					

						

							

								

									
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J-GLOBAL ID 

									
								

							

						

						

					

					

						

							

								

									
arXiv ID 

									
								

							

						

						

					

					

						

							

								

									
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