Dataset for study: Association between production and reproduction parameters based on parity and breed of dairy cows in the Czech Republic
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http://doi.org/10.17632/6vy2tvv7jn.1
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Milk production and the efficiency of dairy cow breeding are significantly influenced by reproductive factors. The purpose of our research was to examine the relationships between selected milk production and reproductive parameters. We evaluated 659 dairy cows, including 444 purebreds from the Czech Fleckvieh and Holstein breeds and 215 crossbreds.
The evaluation included data from January to December 2018. Data on average milk yield per lactation (MY, kg), average fat in milk per lactation (F, kg), average protein in milk per lactation (P, kg), average lactose in milk per lactation (L, kg), average percentage of fat in milk (F%), average percentage of protein in milk (P%), and average percentage of lactose in milk (L%) were measured using the Pulsameter 2 (certified by ICAR, Labor- und Messgeräte GmbH, Germany).
The dataset was further supplemented with data on SP (d), CalvInt (d), and summary selection indices for the Czech Fleckvieh (Genetic Total Merit Index – GZW) and Holstein breed index (Selection Index Holstein – SIH) from the performance control database maintained by the Czech Moravian Breeders Corporation (CˇMSCH;Hradištko, Czech Republic).
This dataset provides key information on dairy cows, including individual IDs, breeding details, calving dates, and lactation periods. It tracks cows' reproductive history (parity and calving intervals) and farm location (Farm ID and Stable ID). The dataset also includes performance metrics (potentially related to breeding and health) and detailed records of milk production, including quantity and content analysis for fat, protein, and lactose.
The dataset could be used for various purposes in the field of dairy cattle research, as it contains valuable information about reproduction and production of many dairy cows over an extended period.
乳制品生产及奶牛育种的效率深受繁殖因素的影响。本研究旨在探究特定乳制品产量与繁殖参数之间的相互关系。我们评估了659头奶牛,其中包括来自捷克弗莱克维赫和荷斯坦品种的444头纯种奶牛以及215头杂交奶牛。评估数据涵盖2018年1月至12月期间的数据,包括每胎平均乳量(MY,千克)、每胎平均乳脂量(F,千克)、每胎平均乳蛋白量(P,千克)、每胎平均乳糖量(L,千克)、每胎平均乳脂百分比(F%)、每胎平均乳蛋白百分比(P%)和每胎平均乳糖百分比(L%),这些数据均采用脉冲测定仪2(由德国ICAR认证的Labor-und Messgeräte GmbH提供)进行测量。数据集还补充了由捷克摩拉维亚育种公司(CˇMSCH;Hradištko,捷克共和国)维护的性能控制数据库中的数据,包括产犊间隔(SP)、产犊间隔时间(CalvInt)以及捷克弗莱克维赫品种的遗传总体品质指数(GZW)和荷斯坦品种选择指数(SIH)。该数据集提供了关于奶牛的关键信息,包括个体标识、育种详情、产犊日期和泌乳期。它追踪了奶牛的繁殖历史(胎次和产犊间隔)以及农场位置(农场标识和牛舍标识)。数据集还包括与育种和健康相关的性能指标以及乳制品生产的详细记录,包括数量分析以及乳脂、乳蛋白和乳糖的含量分析。该数据集可在奶牛研究领域用于多种目的,因为它包含了关于众多奶牛在较长时间段内繁殖和生产的有价值信息。
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