To Estrus Detect Or Not Was The Question

Apr 04, 2017

By B. T. Tibbitts

A question remains whether there is opportunity to increase AI conception rates with estrus detection.

This study evaluated how a fixed-time AI (FTAI) protocol versus a modified estrus detection with fixed time AI (MTAI) protocol affected AI and final pregnancy rates.

Reproductive technologies such as estrus synchronization and AI have limited adoption in the beef industry, partially due to added labor. Protocols that limit labor and cattle processing have a greater potential of being adopted. In the past, pregnancy rates were improved when estrus detection was used. In this study, similar pregnancy rates were achieved without the added labor of estrus detection, likely due to newer protocols that more tightly synchronize estrus.

Nine hundred-seventy one Angus-based, crossbred heifers (average weight 763 ± 31 lb) were estrus synchronized via a melengestrol acetate-prostaglandin F2α (MGA-PG) protocol. An estrus detection aid (patch) was applied at PG injection. Each heifer was assigned a patch score (reflecting the amount of rub-off coating removed) at AI to reflect estrus status. At 72 h following PG, the FTAI heifers received 2-mL gonadotropin-releasing hormone (GnRH) injection and were inseminated. The MTAI heifers were estrus detected at 58 and 70 hours after PG. Approximately 72 hour after PG, MTAI heifers were inseminated in the following order:
1. heifers in estrus at 58 hours after PG
2. heifers in estrus at 70 hours after PG, and
3. heifers not appearing in estrus at either observation. Heifers not expressing estrus received GnRH at AI.

Pregnancy was determined by ultrasound 51 days after AI. Regardless of treatment, heifers exhibiting estrus (reflected by patch score) had greater (P < 0.01) AI conception rates than heifers not expressing estrus (71 and 66 ± 5% for FTAI vs. MTAI, respectively, versus 47 and 53 ± 9% in nonestrus heifers for FTAI and MTAI, respectively).

However, overall AI pregnancy rate (62 ± 5%) and final pregnancy rates were similar between treatments (P ≥ 0.49; 97 ± 3%). Similar AI pregnancy rates were achieved without the added labor of estrus detection.

Source:unl.edu

Video: Dr. David Rosero: Fat Quality in Swine Diets

In this episode of The Swine Nutrition Blackbelt Podcast, Dr. David Rosero from Iowa State University explores the critical aspects of fat quality and oxidation in swine diets. He discusses how different types of lipids affect pig performance and provides actionable insights on managing lipid oxidation in feed mills. Don’t miss this episode—available on all major platforms.

Highlight quote: "Increasing levels of oxidized fats in swine diets reduced the efficiency of feed utilization, increased mortality, and led to more pigs being classified as culls, reducing the number of full-value pigs entering the finishing barns."

Meet the guest: Dr. David Rosero / davidrosero is an assistant professor of animal science at Iowa State University. His research program focuses on conducting applied research on swine nutrition and the practical application of smart farming. He previously served as the technical officer for The Hanor Company, overseeing nutrition, research, and innovation efforts.