{"id":1820,"date":"2023-06-14T05:10:25","date_gmt":"2023-06-14T02:10:25","guid":{"rendered":"https:\/\/www.agro.ihu.gr\/?post_type=course&#038;p=1820"},"modified":"2024-12-04T13:16:32","modified_gmt":"2024-12-04T11:16:32","slug":"600-192010","status":"publish","type":"course","link":"https:\/\/www.agro.ihu.gr\/en\/courses\/600-192010\/","title":{"rendered":"Animal Genetic Evaluation Methods"},"author":7,"template":"","meta":[],"semester":[71],"course_type":[70],"class_list":["post-1820","course","type-course","status-publish","hentry","semester-elective-winter-semester","course_type-special_background"],"acf":{"code":"600-192010","semester":71,"level":"1","teaching_activities":{"activity_1":{"description":"\u0394\u03b9\u03b4\u03b1\u03c3\u03ba\u03b1\u03bb\u03af\u03b1","weekly_hrs":4,"ects":4},"activity_2":{"description":"","weekly_hrs":"","ects":""},"activity_3":{"description":"","weekly_hrs":"","ects":""},"activity_4":{"description":"","weekly_hrs":"","ects":""},"activity_5":{"description":"","weekly_hrs":"","ects":""}},"type":70,"language":"\u0395\u03bb\u03bb\u03b7\u03bd\u03b9\u03ba\u03ac","erasmus":"\u039d\u03b1\u03b9","url":"https:\/\/moodle.teithe.gr\/course\/view.php?id=3897","prerequisites":"","instructors":"","coordinator":"","content":"\u0395\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7 \u03c4\u03c9\u03bd \u039a\u03bb\u03b7\u03c1\u03bf\u03b4\u03bf\u03c4\u03b9\u03ba\u03ce\u03bd \u03a4\u03b9\u03bc\u03ce\u03bd. \u03a6\u03b1\u03b9\u03bd\u03bf\u03c4\u03c5\u03c0\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2 \u03c3\u03b5 \u03b4\u03b9\u03b1\u03c6\u03bf\u03c1\u03b5\u03c4\u03b9\u03ba\u03ad\u03c2 \u03c3\u03c5\u03bd\u03b8\u03ae\u03ba\u03b5\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03b2\u03ac\u03bb\u03bb\u03bf\u03bd\u03c4\u03bf\u03c2. \u0395\u03ba\u03c4\u03b9\u03bc\u03ae\u03c3\u03b5\u03b9\u03c2 \u03c4\u03c9\u03bd \u03ba\u03bb\u03b7\u03c1\u03bf\u03b4\u03bf\u03c4\u03b9\u03ba\u03ce\u03bd \u03c4\u03b9\u03bc\u03ce\u03bd \u03b3\u03b9\u03b1 \u03bc\u03b9\u03b1 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 \u03b1\u03c0\u03cc \u03b4\u03b9\u03ac\u03c6\u03bf\u03c1\u03b5\u03c2 \u03c0\u03b7\u03b3\u03ad\u03c2 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ce\u03bd [\u03c0.\u03c7. \u0391\u03c4\u03bf\u03bc\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae, \u0386\u03bc\u03b5\u03c3\u03b7 \u03b1\u03c4\u03bf\u03bc\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae, \u0391\u03c4\u03bf\u03bc\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03bc\u03b5 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2, \u0388\u03bc\u03bc\u03b5\u03c3\u03b7 \u03b1\u03c4\u03bf\u03bc\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae, \u03a0\u03c1\u03bf\u03b3\u03bf\u03bd\u03b9\u03ba\u03ae\u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae(\u03bc\u03af\u03b1 \u03c0\u03c1\u03bf\u03b3\u03bf\u03bd\u03b9\u03ba\u03ae \u03b1\u03c0\u03cc\u03b4\u03bf\u03c3\u03b7, \u03c0\u03b5\u03c1\u03b9\u03c3\u03c3\u03cc\u03c4\u03b5\u03c1\u03b5\u03c2 \u03c0\u03c1\u03bf\u03b3\u03bf\u03bd\u03b9\u03ba\u03ad\u03c2 \u03b1\u03c0\u03bf\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2), \u03b1\u03b4\u03b5\u03bb\u03c6\u03b9\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae (Sibselection), \u039f\u03b9\u03ba\u03bf\u03b3\u03b5\u03bd\u03b5\u03b9\u03b1\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae, \u0391\u03c0\u03bf\u03b3\u03bf\u03bd\u03b9\u03ba\u03cc\u03c2 \u03ad\u03bb\u03b5\u03b3\u03c7\u03bf\u03c2 (Progenytesting)].\r\n\u03a3\u03c5\u03bd\u03b4\u03c5\u03b1\u03c3\u03bc\u03ad\u03bd\u03b7 \u03b1\u03c4\u03bf\u03bc\u03b9\u03ba\u03ae-\u03bf\u03b9\u03ba\u03bf\u03b3\u03b5\u03bd\u03b5\u03b9\u03b1\u03ba\u03ae \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03bc\u03b5 \u0394\u03b5\u03af\u03ba\u03c4\u03b7 \u0395\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2.\u0395\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7 \u039f\u03bb\u03b9\u03ba\u03ae \u03ba\u03bb\u03b7\u03c1\u03bf\u03b4\u03bf\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c4\u03b9\u03bc\u03ae\u03c2. \u0391\u03ba\u03c1\u03af\u03b2\u03b5\u03b9\u03b1 \u03b5\u03ba\u03c4\u03af\u03bc\u03b7\u03c3\u03b7\u03c2 \u03ba\u03bb\u03b7\u03c1\u03bf\u03b4\u03bf\u03c4\u03b9\u03ba\u03ce\u03bd \u03c4\u03b9\u03bc\u03ce\u03bd \u03ba\u03b1\u03b9 \u03bf\u03bb\u03b9\u03ba\u03ae\u03c2 \u03ba\u03bb\u03b7\u03c1\u03bf\u03b4\u03bf\u03c4\u03b9\u03ba\u03ae\u03c2 \u03c4\u03b9\u03bc\u03ae\u03c2.\r\n\u0391\u03bd\u03af\u03c7\u03bd\u03b5\u03c5\u03c3\u03b7 \u0393\u03bf\u03bd\u03b9\u03b4\u03b9\u03b1\u03ba\u03ce\u03bd \u03a4\u03cc\u03c0\u03c9\u03bd \u03a0\u03bf\u03c3\u03bf\u03c4\u03b9\u03ba\u03ce\u03bd \u0399\u03b4\u03b9\u03bf\u03c4\u03ae\u03c4\u03c9\u03bd (QuantitativeQTLdetection)\r\n\u0391\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u039f\u03bb\u03b9\u03ba\u03ae\u03c2 \u0393\u03b5\u03bd\u03c9\u03bc\u03b9\u03ba\u03ae\u03c2 \u03a3\u03c5\u03c3\u03c7\u03ad\u03c4\u03b9\u03c3\u03b7\u03c2\r\n\r\n\u039c\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2:\r\n\u03b1) \u03a0\u03c1\u03ce\u03c4\u03b9\u03c3\u03c4\u03b7\u03b3\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ae \u03b1\u03bc\u03b5\u03c1\u03cc\u03bb\u03b7\u03c0\u03c4\u03b7 \u03c0\u03c1\u03cc\u03b2\u03bb\u03b5\u03c8\u03b7 (Bes\u03c4LinearUnbiasedPrediction, BLUP) \u03bc\u03b5 \u03c0\u03bf\u03bb\u03c5\u03b3\u03bf\u03bd\u03b9\u03b4\u03b9\u03b1\u03ba\u03cc \u03c0\u03c1\u03cc\u03c4\u03c5\u03c0\u03bf\r\n\u2022 \u03bc\u03b5 \u03bc\u03b9\u03b1 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1\r\n\u2022 \u03bc\u03b5 \u03bc\u03b9\u03b1 \u03b5\u03c0\u03b1\u03bd\u03b1\u03bb\u03b1\u03bc\u03b2\u03b1\u03bd\u03cc\u03bc\u03b5\u03bd\u03b7 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b1 (repeatabilitymodel)\r\n\u2022 \u03bc\u03b5 \u03c0\u03bf\u03bb\u03bb\u03b1\u03c0\u03bb\u03ad\u03c2 \u03b9\u03b4\u03b9\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 (multitraitmodels).\r\n\r\n\u03b2) \u0395\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae \u03a5\u03c0\u03bf\u03b2\u03bf\u03b7\u03b8\u03bf\u03cd\u03bc\u03b5\u03bd\u03b7\u03c2 \u03b1\u03c0\u03cc \u0393\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03bf\u03cd\u03c2 \u0394\u03b5\u03af\u03ba\u03c4\u03b5\u03c2\r\n\u2022 MarkerAssistedSelection \u03bc\u03b5 BLUP\r\n\r\n\u03b3) \u0393\u03b5\u03bd\u03c9\u03bc\u03b9\u03ba\u03ae\u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae (Genomic Selection)\r\n\u2022 GBLUP (Genomic Bes\u03c4 Linear Unbiased Prediction)\r\n\u2022 \u039a\u03b1\u03c4\u03ac Bayes (\u039c\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 Bayes A \u03ba\u03b1\u03b9 Bayes B)","goals":"\u03a3\u03ba\u03bf\u03c0\u03cc\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b5\u03af\u03bd\u03b1\u03b9 \u03bd\u03b1 \u03b5\u03b9\u03c3\u03ac\u03b3\u03b5\u03b9 \u03c4\u03bf\u03bd \u03c6\u03bf\u03b9\u03c4\u03b7\u03c4\u03ae \u03c3\u03c4\u03b9\u03c2 \u03b2\u03b1\u03c3\u03b9\u03ba\u03ad\u03c2 \u03ad\u03bd\u03bd\u03bf\u03b9\u03b5\u03c2 ...\r\n\r\n\u039c\u03b5 \u03c4\u03b7\u03bd \u03b5\u03c0\u03b9\u03c4\u03c5\u03c7\u03ae \u03bf\u03bb\u03bf\u03ba\u03bb\u03ae\u03c1\u03c9\u03c3\u03b7 \u03c4\u03bf\u03c5 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03bf \u03c6\u03bf\u03b9\u03c4\u03b7\u03c4\u03ae\u03c2\/\u03c4\u03c1\u03b9\u03b1 \u03b8\u03b1 \u03b5\u03af\u03bd\u03b1\u03b9 \u03c3\u03b5 \u03b8\u03ad\u03c3\u03b7:\r\n<ul>\r\n \t<li>\u039d\u03b1 \u03b1\u03bd\u03b1\u03bb\u03cd\u03b5\u03b9 \u03c4\u03b7\u03bd...<\/li>\r\n \t<li>\u039d\u03b1 \u03c0\u03b5\u03c1\u03b9\u03b3\u03c1\u03ac\u03c6\u03b5\u03b9 \u03c4\u03b9\u03c2...<\/li>\r\n \t<li>\u039d\u03b1 \u03ba\u03b1\u03c4\u03b1\u03bd\u03bf\u03b5\u03af \u03c4\u03bf...<\/li>\r\n \t<li>\u039d\u03b1 \u03c3\u03c5\u03b3\u03ba\u03c1\u03af\u03bd\u03b5\u03b9 \u03c4\u03b1...<\/li>\r\n<\/ul>","skills":"<ul>\r\n \t<li>\u0391\u03bd\u03b1\u03b6\u03ae\u03c4\u03b7\u03c3\u03b7, \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c3\u03cd\u03bd\u03b8\u03b5\u03c3\u03b7 \u03b4\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03ba\u03b1\u03b9 \u03c0\u03bb\u03b7\u03c1\u03bf\u03c6\u03bf\u03c1\u03b9\u03ce\u03bd, \u03bc\u03b5 \u03c4\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03ba\u03b1\u03b9 \u03c4\u03c9\u03bd \u03b1\u03c0\u03b1\u03c1\u03b1\u03af\u03c4\u03b7\u03c4\u03c9\u03bd \u03c4\u03b5\u03c7\u03bd\u03bf\u03bb\u03bf\u03b3\u03b9\u03ce\u03bd<\/li>\r\n \t<li>\u0391\u03c5\u03c4\u03cc\u03bd\u03bf\u03bc\u03b7 \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1<\/li>\r\n \t<li>\u039f\u03bc\u03b1\u03b4\u03b9\u03ba\u03ae \u03b5\u03c1\u03b3\u03b1\u03c3\u03af\u03b1<\/li>\r\n \t<li>\u03a0\u03b1\u03c1\u03ac\u03b3\u03c9\u03b3\u03ae \u03bd\u03ad\u03c9\u03bd \u03b5\u03c1\u03b5\u03c5\u03bd\u03b7\u03c4\u03b9\u03ba\u03ce\u03bd \u03b9\u03b4\u03b5\u03ce\u03bd<\/li>\r\n<\/ul>","teaching_methods":"\u03a3\u03c4\u03b7\u03bd \u03b1\u03af\u03b8\u03bf\u03c5\u03c3\u03b1 \u03b4\u03b9\u03b4\u03b1\u03c3\u03ba\u03b1\u03bb\u03af\u03b1\u03c2 \u03ba\u03b1\u03b9 \u03c3\u03c4\u03bf \u0395\u03c1\u03b3\u03b1\u03c3\u03c4\u03ae\u03c1\u03b9\u03bf \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf \u03bc\u03b5 \u03c0\u03c1\u03cc\u03c3\u03c9\u03c0\u03bf.","ict_usage":"<ul>\r\n \t<li>\u03a4\u03bf \u0398\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03cc \u03ba\u03b1\u03b9 \u03c4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03c0\u03c1\u03b1\u03b3\u03bc\u03b1\u03c4\u03bf\u03c0\u03bf\u03b9\u03b5\u03af\u03c4\u03b1\u03b9 \u03b5\u03be\u03bf\u03bb\u03bf\u03ba\u03bb\u03ae\u03c1\u03bf\u03c5 \u03bc\u03b5 \u03c4\u03b7 \u03c7\u03c1\u03ae\u03c3\u03b7 \u03b7\u03bb\u03b5\u03ba\u03c4\u03c1\u03bf\u03bd\u03b9\u03ba\u03ce\u03bd \u03c0\u03bf\u03bb\u03c5\u03bc\u03ad\u03c3\u03c9\u03bd.<\/li>\r\n \t<li>\u039f\u03b9 \u03b1\u03bd\u03ac\u03b3\u03ba\u03b5\u03c2 \u03c4\u03b7\u03c2 \u03b8\u03b5\u03c9\u03c1\u03b7\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b4\u03b9\u03b4\u03b1\u03c3\u03ba\u03b1\u03bb\u03af\u03b1\u03c2 \u03c4\u03bf\u03c5 \u03b5\u03bd \u03bb\u03cc\u03b3\u03c9 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03ba\u03b1\u03bb\u03cd\u03c0\u03c4\u03bf\u03bd\u03c4\u03b1\u03b9 \u03bc\u03b5 computer, \u03c3\u03cd\u03bd\u03b4\u03b5\u03c3\u03b7 Internet \u03ba\u03b1\u03b9 dataprojector.<\/li>\r\n \t<li>\u03a4\u03bf \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03cc \u03bc\u03ad\u03c1\u03bf\u03c2 \u03c4\u03bf\u03c5 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b3\u03af\u03bd\u03b5\u03c4\u03b1\u03b9 \u03b5\u03be\u03bf\u03bb\u03bf\u03ba\u03bb\u03ae\u03c1\u03bf\u03c5 \u03bc\u03b5 \u0397\/\u03a5 \u03ba\u03b1\u03b9 \u03b5\u03be\u03bf\u03b9\u03ba\u03b5\u03af\u03c9\u03c3\u03b7 \u03bc\u03b5 \u03b5\u03be\u03b5\u03b9\u03b4\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 \u03bb\u03bf\u03b3\u03b9\u03c3\u03bc\u03b9\u03ba\u03ac \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ae\u03c2 \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u03b1\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03c0\u03b1\u03c1\u03b1\u03b4\u03b5\u03b9\u03b3\u03bc\u03ac\u03c4\u03c9\u03bd.<\/li>\r\n \t<li>\u03a9\u03c2 \u0395\u03ba\u03c0\u03b1\u03b9\u03b4\u03b5\u03c5\u03c4\u03b9\u03ba\u03cc \u039b\u03bf\u03b3\u03b9\u03c3\u03bc\u03b9\u03ba\u03cc \u03c7\u03c1\u03b7\u03c3\u03b9\u03bc\u03bf\u03c0\u03bf\u03b9\u03bf\u03cd\u03bd\u03c4\u03b1\u03b9 :\r\n\u0399. PEST byGroonevelt (\u0393\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b3\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7)\r\n\u0399\u0399. ASRemlbyGilmour (\u0393\u03b9\u03b1 \u03c4\u03b7\u03bd \u03b3\u03b5\u03bd\u03c9\u03bc\u03b9\u03ba\u03ae \u03b1\u03be\u03b9\u03bf\u03bb\u03cc\u03b3\u03b7\u03c3\u03b7)<\/li>\r\n<\/ul>","teaching_organization":{"activity_1":{"description":"Lectures and Laboratory Work","workload":52},"activity_2":{"description":"CaseStudy and analysisusing Quiz questions","workload":10},"activity_3":{"description":"Written Assignment","workload":10},"activity_4":{"description":"Autonomous study","workload":48},"activity_5":{"description":"","workload":""},"activity_6":{"description":"","workload":""}},"students_evaluation":"<ul>\r\n \t<li>\u0395\u03ba\u03c0\u03cc\u03bd\u03b7\u03c3\u03b7 \u0395\u03c1\u03b3\u03b1\u03c3\u03af\u03b1\u03c2 (30%)<\/li>\r\n \t<li>\u0393\u03c1\u03b1\u03c0\u03c4\u03ae \u03c4\u03b5\u03bb\u03b9\u03ba\u03ae \u03b5\u03be\u03ad\u03c4\u03b1\u03c3\u03b7 (70%) \u03c0\u03bf\u03c5 \u03c0\u03b5\u03c1\u03b9\u03bb\u03b1\u03bc\u03b2\u03ac\u03bd\u03b5\u03b9 \u03b5\u03c1\u03b3\u03b1\u03c3\u03c4\u03b7\u03c1\u03b9\u03b1\u03ba\u03ad\u03c2 \u03b1\u03c3\u03ba\u03ae\u03c3\u03b5\u03b9\u03c2 \u03ba\u03b1\u03b9 \u03b5\u03c1\u03c9\u03c4\u03ae\u03c3\u03b5\u03b9\u03c2.<\/li>\r\n<\/ul>","bib_textbooks":"<ol>\r\n \t<li>\u03a1\u03bf\u03b3\u03b4\u03ac\u03ba\u03b7\u03c2, \u0395., 2009. \u0393\u03b5\u03bd\u03b5\u03c4\u03b9\u03ba\u03ae \u0392\u03b5\u03bb\u03c4\u03af\u03c9\u03c3\u03b7 \u0391\u03b3\u03c1\u03bf\u03c4\u03b9\u03ba\u03ce\u03bd \u0396\u03ce\u03c9\u03bd. \u0395\u03ba\u03b4\u03cc\u03c3\u03b5\u03b9\u03c2: \u03a3\u03c4\u03b1\u03bc\u03bf\u03cd\u03bb\u03b7, \u0391\u03b8\u03ae\u03bd\u03b1.<\/li>\r\n \t<li>GroeneveldE, Kova\u010dM, MielenzN. 2010. VCE User\u2019s Guide and Reference Manual, version 6.0. Institute of Farm Animal Genetics; Neustadt, Germany.<\/li>\r\n \t<li>Butler, D.G., Cullis, B.R., Gilmour, A.R., Gogel, B.G., Thompson, R., 2017. ASReml-R Reference Manual Version 4. VSN International Ltd, Hemel Hempstead, HP1 1ES, UK.<\/li>\r\n<\/ol>","bib_journals":"<ol>\r\n \t<li>Animal Breeding and Genetics<\/li>\r\n \t<li>Animal Genetics<\/li>\r\n \t<li>Genetics-Selection-Evolution.<\/li>\r\n<\/ol>"},"_links":{"self":[{"href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1820","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/course"}],"about":[{"href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/types\/course"}],"author":[{"embeddable":true,"href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/users\/7"}],"version-history":[{"count":8,"href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1820\/revisions"}],"predecessor-version":[{"id":3316,"href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/course\/1820\/revisions\/3316"}],"acf:term":[{"embeddable":true,"taxonomy":"course_type","href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/course_type\/70"},{"embeddable":true,"taxonomy":"semester","href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/semester\/71"}],"wp:attachment":[{"href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/media?parent=1820"}],"wp:term":[{"taxonomy":"semester","embeddable":true,"href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/semester?post=1820"},{"taxonomy":"course_type","embeddable":true,"href":"https:\/\/www.agro.ihu.gr\/en\/wp-json\/wp\/v2\/course_type?post=1820"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}