Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Multiple Allele Traits01:49

Multiple Allele Traits

38.2K
The Concept of Multiple Allelism
38.2K
Multiple Regression01:25

Multiple Regression

4.0K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
4.0K
Multiple Voltage Sources01:25

Multiple Voltage Sources

1.8K
Generally, a single battery is not enough to power some devices. In such cases, batteries can be combined in two ways: in series or in parallel.
In series, the positive terminal of one battery is connected to the negative terminal of another battery. Hence, the voltage of each battery is added to give the net voltage, which is increased because each battery boosts the electrons that enter it. The same current flows through each battery because they are connected in series.
Batteries are...
1.8K
Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

491
When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
491
Multiple Bar Graph01:07

Multiple Bar Graph

10.2K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
10.2K
Multiple Comparison Tests01:13

Multiple Comparison Tests

4.5K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
4.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Distribution of Staphylococcus chromogenes and Mammaliicoccus sciuri across cows, farm environment, and workers in 3 Chinese dairy herds with distinct bedding systems.

Journal of dairy science·2026
Same author

Bone Marrow-Derived Mesenchymal Stem Cells Alleviate Cutaneous Leishmaniasis by Promoting M2 Macrophage Polarization and Skin Tissue Repair in a Murine Model.

Biomolecules·2026
Same author

Effects of Adding Three Concentrations of Cold-Sensitive Nanoliposomes or Nanomicelles to Extender on Characteristics of Frozen-Thawed Bull Sperm.

Biopreservation and biobanking·2026
Same author

A newly identified sequence type: genomic and pathogenic profiling of the highly virulent <i>Acinetobacter baumannii</i> ST3475 from bovine mastitis.

Frontiers in cellular and infection microbiology·2026
Same author

Impacts of Oxygen Tension on Developmental Competence of Preimplantation Embryos.

Biomolecules·2026
Same author

From Systemic Stress to Ovarian Failure: Heat Stress-Induced Infertility in Pigs as a Model for Reproductive Dysfunction.

Current issues in molecular biology·2026

Related Experiment Video

Updated: Feb 11, 2026

Measuring Liver Mitochondrial Oxygen Consumption and Proton Leak Kinetics to Estimate Mitochondrial Respiration in Holstein Dairy Cattle
08:29

Measuring Liver Mitochondrial Oxygen Consumption and Proton Leak Kinetics to Estimate Mitochondrial Respiration in Holstein Dairy Cattle

Published on: November 30, 2018

11.9K

Update on Multiple Ovulations in Dairy Cattle.

Kira Macmillan1, John P Kastelic2, Marcos G Colazo3

  • 1Livestock Research Section, Alberta Agriculture and Forestry, Edmonton, AB T6H 5T6, Canada. kira.macmillan@gov.ab.ca.

Animals : an Open Access Journal From MDPI
|April 27, 2018
PubMed
Summary

Understanding multiple ovulations (MOV) in cattle is key to reducing twin pregnancies. Factors like low progesterone and high milk production influence MOV, impacting cow health and productivity.

Keywords:
codominancecowdouble ovulationsfollicle deviationovarytwinning rate

More Related Videos

The Use of Traditional Fear Tests to Evaluate Different Emotional Circuits in Cattle
12:08

The Use of Traditional Fear Tests to Evaluate Different Emotional Circuits in Cattle

Published on: April 22, 2020

9.1K
Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach
09:31

Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach

Published on: October 7, 2025

579

Related Experiment Videos

Last Updated: Feb 11, 2026

Measuring Liver Mitochondrial Oxygen Consumption and Proton Leak Kinetics to Estimate Mitochondrial Respiration in Holstein Dairy Cattle
08:29

Measuring Liver Mitochondrial Oxygen Consumption and Proton Leak Kinetics to Estimate Mitochondrial Respiration in Holstein Dairy Cattle

Published on: November 30, 2018

11.9K
The Use of Traditional Fear Tests to Evaluate Different Emotional Circuits in Cattle
12:08

The Use of Traditional Fear Tests to Evaluate Different Emotional Circuits in Cattle

Published on: April 22, 2020

9.1K
Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach
09:31

Evaluation of Microbial Safety of Dairies using Bacterial Proteomic Profiling via MALDI Approach

Published on: October 7, 2025

579

Area of Science:

  • Reproductive biology in domestic animals
  • Endocrinology of reproduction

Background:

  • Multiple ovulations (MOV) in cattle can lead to twin pregnancies, negatively impacting cow health, production, and reproduction.
  • Understanding the causal mechanisms and risk factors for MOV is crucial for mitigating these adverse effects.

Purpose of the Study:

  • To review and update the knowledge on causal mechanisms and risk factors associated with multiple ovulations in cattle.
  • To provide insights that may help reduce the incidence of twinning in cows.

Main Methods:

  • This review synthesizes existing research on hormonal regulation and physiological factors influencing ovulation rates in cattle.
  • Analysis of factors such as progesterone levels, luteinizing hormone surges, and ovarian follicle dynamics.

Main Results:

  • Multiple ovulations occur when two or more ovarian follicles achieve codominance, often influenced by hormonal fluctuations.
  • Low progesterone concentrations and luteinizing hormone surges are identified as primary drivers of codominance and MOV.
  • Increased MOV rates are observed in older, higher-producing dairy cows, with potential links to milk yield, ovarian cysts, diet, season, and genetics.

Conclusions:

  • Hormonal imbalances, particularly low progesterone and specific luteinizing hormone patterns, are central to the development of multiple ovulations.
  • Management strategies targeting these hormonal and physiological factors, alongside consideration of age, production level, and other risk factors, are needed to control twinning in cattle.