Citas bibligráficas
Villanueva, E., (2024). Factores que afectaron el porcentaje de preñez y parición de vacas cruzadas, inseminadas artificialmente en la Provincia de Sánchez Carrión [Universidad Nacional de Trujillo]. https://hdl.handle.net/20.500.14414/22509
Villanueva, E., Factores que afectaron el porcentaje de preñez y parición de vacas cruzadas, inseminadas artificialmente en la Provincia de Sánchez Carrión []. PE: Universidad Nacional de Trujillo; 2024. https://hdl.handle.net/20.500.14414/22509
@misc{renati/880338,
title = "Factores que afectaron el porcentaje de preñez y parición de vacas cruzadas, inseminadas artificialmente en la Provincia de Sánchez Carrión",
author = "Villanueva Vera, Edwin",
publisher = "Universidad Nacional de Trujillo",
year = "2024"
}
ABSTRACT Bovine farming in the La Libertad region is a fundamental activity for food security; because it generates jobs and constitutes the livelihood of the vast majority of families. The objective of this research is to determine the factors that affected the percentage of pregnancy and calving of cross-bred cows artificially inseminated in 2022 in the Province of Sánchez Carrión, La Libertad region. The activity was developed in 3 districts covering their different hamlets with greater livestock population; district of Huamachuco, Curgos and Marcabal, 153 animals between heifers and cows of improved genotype of different age and parity were selected, artificially inseminated and monitored at the corresponding time. taking data such as: Category of the female, inseminator technician, number of pregnant cows per inseminator, body condition of the cow, type of semen used, genotype of the females, season of the year, intensity of heat, time of artificial insemination, type feeding, body weight of the cow, pregnancy diagnosis, number of pregnant cows and number of cows that calved. From this recorded data, it was evaluated with the R Studio program with binary logistic regression, obtaining as a result that the factors that had a highly significant effect on the pregnancy of the cows were season of the year, time of insemination and inseminator technician (P <0.001). For calving, none of the monitored factors have statistical significance (P>0.05). In conclusion, the determining factors that affected the pregnancy percentage were identified; for calving it was not statistically affected by any variation factor. But there are numerical differences.
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