Axiom focuses on genetic improvements

Axiom, a breeding company, is using new tools to enhance the genetics of its animals while ensuring they are more robust and adaptable to different environments. This approach aims to improve both the animals' performance and their ability to cope with changing conditions.

Genetic selection evolves with new challenges

Traditionally, genetic selection focused on performance traits alone. However, modern breeding requires animals to maintain their performance in varied environments and adapt to changing conditions. This involves balancing profitability traits with robustness, resilience, and adaptability.

New selection tools help manage genetic diversity

Axiom has been using a mathematical method called Optimum Contribution Selection (OCS) since 2017. This tool helps select the best genetic candidates while preserving genetic diversity and reducing inbreeding. It also considers the performance of future generations.

Improving piglet survival through balanced selection

One example of this balanced approach is improving piglet survival. Axiom uses a selection trait called "GMQqmat" to increase litter size without reducing piglet weight. Over four years, they have increased the number of live-born piglets per litter while improving their birth weight.

Robustness extends to the growth phase

Axiom is developing new indicators to assess how well growing pigs can maintain their performance under variable conditions. These indicators include weight, viability, and health status. While the heritability of robustness during growth is low, it is still possible to improve through selection.

New traits focus on environmental adaptability

Axiom is working on a trait called Alpha, which measures an animal's ability to maintain feed efficiency under changing conditions. This trait helps identify animals that perform well even when breeding conditions vary, improving their resilience to stress, social, health, and climate challenges.

Advancements in digestion and nutrient use

The company is also researching new indicators related to digestion and nutrient utilization, using fecal analysis. The goal is to understand how some animals use feed more efficiently and, in the long term, select pigs that produce more with fewer resources.

Artificial intelligence enhances genetic research

By improving data upload processes, artificial intelligence is expected to enhance the analysis of interactions between genetics, environment, and performance. This could lead to more precise breeding strategies and better adaptation to environmental changes.