Number of seeding per pregnancy in breeding of dairy cattle importance and economic losses
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Abstract (EN)
In this thesis study; In this study, it was aimed to determine the standard values related to fertility criteria in dairy cattle, especially the Number of Insemination Per Gestation (GBTS) and the information and economic losses caused by deviations from these standard values in dairy cattle breeding in our country. Fertility records (Number of Insemination per Pregnancy) of 20662 Holstein Dairy cattle (39938 units) between 2013-2019 belonging to Tekirdağ Province DSYB constituted the material of the research. When we consider the effect of calving years; It is seen that the years that created the difference have the lowest average of 2014 (1.76±0.022), and the highest average (1.95±0.020) stems from the 2015 data. Except for the GBTS averages of 2013(1.82±0.018) and 2014 (1.76±0.022), the GBTS averages of the other years were higher than the general average of the flock (1.87±0.01). (p<0.01). When we examine the effects of seasons on GBTS; it was seen that the difference was caused by winter (1.81±0.015) and autumn (1.94±0.016) seasons (p<0.01). Except for the winter and spring seasons, the average of the other seasons was found above the general average (p<0.01). When we evaluate the lactation order, it is seen that the effects of the 1st, 2nd and 3rd lactation lines on GBTS are significant (p<0.01). When we compare it with the general average, it is seen that other lactation lines except the 1st and 5th lactations are low. As a suggestion; In a successful livestock business, it is important to closely monitor the factors that directly or indirectly affect the fertility of the herd, and to eliminate the factors that negatively affect the performance before they show their effects. Keywords: Dairy Cattle, Number of Inseminations Per Pregnancy, Economic Losses, Animal Breeding
Author
Eyüp Töre
How to Cite
Eyüp Töre (Master Thesis). Number of seeding per pregnancy in breeding of dairy cattle importance and economic losses, 2023, Tekirdağ Namık Kemal University.
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