HIPRASTATS for poultry: an innovative service based on data science and biostatistics to enhance prevention and to support the decision-making process
16 December 2021
7 minute read
By: Overview
HIPRASTATS is a data analysis service from HIPRA for animal production companies. The service offers the opportunity to extract knowledge from data and deliver actionable insights to support assertive decision-making.
The service is led by veterinarians, biologists and statisticians who combine epidemiological, analytical and animal production expertise. Since 2016, HIPRASTATS has helped companies all over the world to get valuable insights into data, automate repetitive tasks or build simulation-prediction models, with the goal of enhancing prevention and boosting efficiency.
HIPRASTATS for poultry
Livestock companies generate a large volume of data from both external and internal sources. The mathematical and statistical methodologies implemented by HIPRASTATS to analyse this data offer a clear competitive advantage for poultry companies by being able to develop strategies and detect areas of improvement.
Practical examples
The studies conducted by HIPRASTATS are 100% adapted to the client's requirements. The service provides customized solutions depending on the objective (i.e. improve sanitary status, production efficiency and/or economic performance of the farms).
These are some examples of studies conducted by the HIPRASTATS service:
- Detect areas of improvement on quality of day-old chicks:
This type of study evaluates the different factors that can affect the quality of day-old chicks, from breeder level and especially during the whole process of storage and egg incubation until the arrival of the animals at the farm. See example:
VARIABLES |
RISK to day-old chick E. COLI POSITIVE |
Breeder Farm |
Farm C associated with lower positivity (p-value <0.03*) |
Geographic region |
No association |
Genetic Line |
No association |
Antibiotic use at breeders |
No association (few flocks treated during production) |
Breeder age |
Lower positivity on breeders <30 w (p-value <0.002**) |
E. Coli vaccine |
Vaccine B associated with lower positivity (p-value <0.045*) |
Egg storage days |
<7 days of storage slightly associated with higher positivity (p-value <0.07) |
Amount of hatching eggs |
No association |
Hatch weekday |
More positivity on Saturdays (p-value <0.01*) |
- Hatchery Performance analysis:
This type of study evaluates different hatchery key performance indicators, such as hatchability over total or over fertile, and taking into consideration several hatchery parameters and associated factors (e.g. breeder age, breeder farm, days of storage, hatchers, setters, etc.). See examples:
- Detect risk factors to improve mortality rates:
In this type of study data from breeders, hatcheries and broiler farms are connected to evaluate the different factors that can affect 1st week broiler mortality. See examples:
- Identification of the factors that are key for production without antibiotics (Origins®):
Pioneering detailed advice program designed to develop plans for an efficient and competitive animal production system without using antibiotics or coccidiostats. It is a complete program, where all the production keys are studied (biosecurity/management, nutrition, chick quality, prevention programs). A classification of origins and destinations is done by means of risk identification, using biostatistics See example:
