2007199921565479https://smlouvy.gov.cz/smlouva/215654792022-09-06T06:54:45+02:002fhnzkwVýzkumný ústav živočišné výroby, v. v. i.00027014Přátelství 815/109, 10400 Praha 10, CZaxntmuyPLEMDAT, s.r.o.25633775Benešovská 123, 25209, HradištkoGenotypování 96 vzorků 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ání 96 vzorků prasat.docx2026-07-05T17:22:49+02:0015aa09b0c34648ad07b29cc344677642c986502ab3158272f1ed85c2665e0a8fe