Prognostic impact of neck responders on conception rate of Czech Fleckvieh Simmental cows

Article Details: Received: 2020-10-25 | Accepted: 2020-11-27 Available online: 2021-01-31 https://doi.org/10.15414/afz.2021.24.mi-prap.58-61 The climate in the Czech Republic is mild, transient between oceanic and continental, with a typical alternation of 4-year periods. continental characterized by high temperatures summer low winter. During extreme fluctuation microclimatic conditions stable, there also change individual reproductive indicators due to disruption hormonal secretion, which further affects physiological processes, thus worsening conception or milder manifestations heat, we currently try detect neck responders other modern systems.The experiment analyzed effect average monthly temperature humidity stable on percentage pregnant cows, 2017 without use 2019, when all cows already had responder. Monitoring was performed 2019 private farm GenAgro Řicany, a.s. (GPS 49 ° 12'32.319 N, 16 23'42.666 V). values relative were calculated from 15-minute interval recordings HOBO brand data loggers (Onset), placed at height withers possibility influencing measurements themselves. object monitoring herd approximately 700 Fleckvieh Simmental various lactations. Data obtained both reports breeding organization breeder.Thermal stress can have long-lasting observable for weeks months after summer. This evidenced results work, shows especially late autumn. At same time, show positive used responders, help detection heat improve reproduction whole herd. Keywords: Simmental, smart farming, reproduction, References Badinga, L., et al. (1985). Effects climatic management factors rate dairy cattle subtropical environment. J Dairy Sci , 68, 78–85. Bertipaglia, E. C. A., (2005). Fertility hair coat characteristics Holstein tropical environment . Anim Reprod 2(3), 187–194. Bridges, P. J. Elevated (heat stress) vitro reduces androstenedione estradiol increases progesterone secretion follicular cells bovine dominant follicles. Domestic Animal Endocrinology 29, 508–522, https://doi.org/10.1016/j.domaniend.2005.02.017 Funnell, A. (2015). Robots future agriculture [cited 2020-10-15].  from: http://www.abc.net.au/radionational/programs/futuretense/a-swarmof-agbots/6968940 Jelinek, P., Koudela, K. (2003). Fyziologie hospodařských zviřat Brno: Mendelova zemědělska lesnicka univerzita. Rensis, F. D., Scaramuzzi, R. Heat seasonal effects cow – review. Theriogenology, 60,1139–1151, https://doi.org/10.1016/S0093-691X(03)00126-2 Schmitt, (1996). Differential response luteal phase fertility following ovulation first-wave follicle human chorionic gonadotropin an agonist gonadotropin-releasing hormone. 74, 1074–1083, DOI: 10.2527/1996.7451074x Schwab, (2016). fourth industrial revolution New York: Crown Business. Ustundag, Cevikcan, (2017). Industry 4.0: managing digital transformation Springer Berlin Heidelberg. Velechovska, přežvykovani pro efektivnějsi chov Chov [online]., 8. cislo 18–20 str. 2020-10-15]. https://www.eurofarm.cz/sites/www.eurofarm.cz/files/u2018/08-2016-chov-priloha_str18-20-eurofarm.pdf Wolfenson, Roth, Z., Meidan, (2000). Impaired stressed: basic applied aspects. 60, 535–547, https://doi.org/10.1016/S0378-4320(00)00102-0