{"id":6164,"date":"2026-09-29T11:56:45","date_gmt":"2026-09-29T06:26:45","guid":{"rendered":"https:\/\/www.navfarm.com\/blog\/?p=6164"},"modified":"2026-09-29T11:56:47","modified_gmt":"2026-09-29T06:26:47","slug":"pig-farm-management-software-manage-breeding-gestation-farrowing-weaning-and-finishing","status":"publish","type":"post","link":"https:\/\/www.navfarm.com\/blog\/pig-farm-management-software-manage-breeding-gestation-farrowing-weaning-and-finishing\/","title":{"rendered":"Pig Farm Management Software- Manage Breeding, Gestation, Farrowing, Weaning and Finishing"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

A Pig Farm Is a Continuous Production Cycle<\/strong><\/p>\n\n\n\n

A pig farm does not simply manage animals.<\/p>\n\n\n\n

It manages a continuous biological production cycle.<\/p>\n\n\n\n

A gilt enters the breeding program.<\/p>\n\n\n\n

She is serviced.<\/p>\n\n\n\n

Pregnancy is confirmed.<\/p>\n\n\n\n

She moves through gestation.<\/p>\n\n\n\n

She farrows.<\/p>\n\n\n\n

Piglets are born.<\/p>\n\n\n\n

The litter is managed.<\/p>\n\n\n\n

Piglets are weaned.<\/p>\n\n\n\n

They move into growing and finishing.<\/p>\n\n\n\n

The sow eventually enters another parity cycle.<\/p>\n\n\n\n

At the same time, the farm is consuming feed, medicine, vaccines and labour while dealing with mortality, culling, animal movement and changing body weight.<\/p>\n\n\n\n

If these activities are managed through separate registers and Excel sheets, it becomes difficult to answer even basic management questions quickly.<\/p>\n\n\n\n

Which sows are due for service?<\/p>\n\n\n\n

Which animals need pregnancy checking?<\/p>\n\n\n\n

Which sows are expected to farrow this week?<\/p>\n\n\n\n

What is the average litter size?<\/p>\n\n\n\n

What is pre-weaning mortality?<\/p>\n\n\n\n

How many pigs will move to the grower stage next week?<\/p>\n\n\n\n

What is the feed cost per pig?<\/p>\n\n\n\n

Which parity is performing better?<\/p>\n\n\n\n

A Pig Farm Management Software<\/strong> connects these activities around the actual pig production lifecycle.<\/p>\n\n\n\n

What Is Pig Farm Management Software?<\/strong><\/p>\n\n\n\n

Pig Farm Management Software is designed to manage pig production from breeding through finishing.<\/p>\n\n\n\n

Depending on the operation, it can cover:<\/p>\n\n\n\n

Gilt management<\/p>\n\n\n\n

Sow management<\/p>\n\n\n\n

Boar management<\/p>\n\n\n\n

Service<\/p>\n\n\n\n

Artificial insemination<\/p>\n\n\n\n

Pregnancy<\/p>\n\n\n\n

Gestation<\/p>\n\n\n\n

Farrowing<\/p>\n\n\n\n

Litter management<\/p>\n\n\n\n

Piglets<\/p>\n\n\n\n

Weaning<\/p>\n\n\n\n

Nursery or weaner<\/p>\n\n\n\n

Grower<\/p>\n\n\n\n

Finisher<\/p>\n\n\n\n

Feed<\/p>\n\n\n\n

Weight<\/p>\n\n\n\n

Health<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Culling<\/p>\n\n\n\n

Movement<\/p>\n\n\n\n

Inventory<\/p>\n\n\n\n

Costing<\/p>\n\n\n\n

Traceability<\/p>\n\n\n\n

Sales<\/p>\n\n\n\n

The system should follow the way the piggery actually operates rather than forcing the farm into a generic livestock register.<\/p>\n\n\n\n

Individual Animal and Batch Management<\/strong><\/p>\n\n\n\n

Not every pig needs to be managed at the same level.<\/p>\n\n\n\n

Breeding animals may require individual records.<\/p>\n\n\n\n

Growing pigs may be managed by batch or group.<\/p>\n\n\n\n

A practical system should therefore support both approaches where required.<\/p>\n\n\n\n

For example:<\/p>\n\n\n\n

Sow 1058 is managed individually.<\/p>\n\n\n\n

Her litter has its own reference.<\/p>\n\n\n\n

After weaning, piglets may move into Weaner Batch W-221.<\/p>\n\n\n\n

The system should maintain the relationship between these stages.<\/p>\n\n\n\n

Gilt Management<\/strong><\/p>\n\n\n\n

A gilt is a future breeding animal.<\/p>\n\n\n\n

Management may need to know:<\/p>\n\n\n\n

Animal ID<\/p>\n\n\n\n

Breed<\/p>\n\n\n\n

Date of birth<\/p>\n\n\n\n

Age<\/p>\n\n\n\n

Weight<\/p>\n\n\n\n

Farm<\/p>\n\n\n\n

Location<\/p>\n\n\n\n

Selection date<\/p>\n\n\n\n

Breeding readiness<\/p>\n\n\n\n

Health status<\/p>\n\n\n\n

Service history<\/p>\n\n\n\n

The gilt should not simply appear as a sow without a history.<\/p>\n\n\n\n

Gilt Selection<\/strong><\/p>\n\n\n\n

Not every female pig becomes breeding stock.<\/p>\n\n\n\n

The farm may select suitable gilts based on its own criteria.<\/p>\n\n\n\n

The system can record selection and movement into the breeding population.<\/p>\n\n\n\n

This helps management understand how replacement breeding stock is being developed.<\/p>\n\n\n\n

Sow Register<\/strong><\/p>\n\n\n\n

Every breeding sow should have a clear history.<\/p>\n\n\n\n

The sow record may include:<\/p>\n\n\n\n

Animal ID<\/p>\n\n\n\n

Breed<\/p>\n\n\n\n

Age<\/p>\n\n\n\n

Current parity<\/p>\n\n\n\n

Last service<\/p>\n\n\n\n

Pregnancy status<\/p>\n\n\n\n

Expected farrowing<\/p>\n\n\n\n

Last farrowing<\/p>\n\n\n\n

Litter history<\/p>\n\n\n\n

Weaning history<\/p>\n\n\n\n

Health<\/p>\n\n\n\n

Current location<\/p>\n\n\n\n

This gives the farm one place to understand the sow’s reproductive lifecycle.<\/p>\n\n\n\n

Parity Management<\/strong><\/p>\n\n\n\n

Parity is one of the most important parts of sow management.<\/p>\n\n\n\n

Each completed reproductive cycle should update the sow’s parity.<\/p>\n\n\n\n

Management can then analyse performance by parity.<\/p>\n\n\n\n

For example:<\/p>\n\n\n\n

Parity 1<\/p>\n\n\n\n

Parity 2<\/p>\n\n\n\n

Parity 3<\/p>\n\n\n\n

Parity 4<\/p>\n\n\n\n

and so on.<\/p>\n\n\n\n

This allows the business to understand how reproductive performance changes as sows move through successive cycles.<\/p>\n\n\n\n

Why Parity Matters<\/strong><\/p>\n\n\n\n

Two sows may currently be pregnant but have very different production histories.<\/p>\n\n\n\n

One may be in her first parity.<\/p>\n\n\n\n

Another may be in her fifth.<\/p>\n\n\n\n

Their historical litter size, mortality and reproductive performance may differ.<\/p>\n\n\n\n

Parity gives management context behind the animal’s current status.<\/p>\n\n\n\n

Service Management<\/strong><\/p>\n\n\n\n

Breeding records can include:<\/p>\n\n\n\n

Sow or gilt<\/p>\n\n\n\n

Service date<\/p>\n\n\n\n

Service type<\/p>\n\n\n\n

Boar or semen reference<\/p>\n\n\n\n

Technician<\/p>\n\n\n\n

Service number<\/p>\n\n\n\n

Remarks<\/p>\n\n\n\n

This creates the starting point of the reproductive cycle.<\/p>\n\n\n\n

Artificial Insemination<\/strong><\/p>\n\n\n\n

Where AI is used, the farm can maintain:<\/p>\n\n\n\n

Semen batch<\/p>\n\n\n\n

Boar reference<\/p>\n\n\n\n

AI date<\/p>\n\n\n\n

Sow<\/p>\n\n\n\n

Technician<\/p>\n\n\n\n

Dose<\/p>\n\n\n\n

This creates better traceability of breeding activity.<\/p>\n\n\n\n

Repeat Service<\/strong><\/p>\n\n\n\n

If the sow returns to heat, another service may be required.<\/p>\n\n\n\n

The previous service should remain in the history.<\/p>\n\n\n\n

Management can then analyse repeat service rather than seeing only the latest date.<\/p>\n\n\n\n

Pregnancy Checking<\/strong><\/p>\n\n\n\n

After service, the system can identify animals due for pregnancy confirmation.<\/p>\n\n\n\n

The farm can record:<\/p>\n\n\n\n

Check date<\/p>\n\n\n\n

Result<\/p>\n\n\n\n

Pregnant<\/p>\n\n\n\n

Not pregnant<\/p>\n\n\n\n

Recheck required<\/p>\n\n\n\n

Remarks<\/p>\n\n\n\n

This prevents animals from being missed between service and gestation.<\/p>\n\n\n\n

Gestation Management<\/strong><\/p>\n\n\n\n

Once pregnancy is confirmed, the sow enters the gestation process.<\/p>\n\n\n\n

Management needs visibility into:<\/p>\n\n\n\n

Gestation stage<\/p>\n\n\n\n

Expected farrowing date<\/p>\n\n\n\n

Feed<\/p>\n\n\n\n

Body condition where recorded<\/p>\n\n\n\n

Vaccination<\/p>\n\n\n\n

Medication<\/p>\n\n\n\n

Location<\/p>\n\n\n\n

Upcoming movement<\/p>\n\n\n\n

The farm can plan activities before farrowing rather than reacting at the last moment.<\/p>\n\n\n\n

Expected Farrowing<\/strong><\/p>\n\n\n\n

The expected farrowing date becomes a key planning date.<\/p>\n\n\n\n

It helps the farm plan:<\/p>\n\n\n\n

Farrowing space<\/p>\n\n\n\n

Sow movement<\/p>\n\n\n\n

Labour<\/p>\n\n\n\n

Feed<\/p>\n\n\n\n

Health activities<\/p>\n\n\n\n

Farrowing supervision<\/p>\n\n\n\n

Future piglet population<\/p>\n\n\n\n

Farrowing House Planning<\/strong><\/p>\n\n\n\n

Knowing which sows are expected to farrow allows the farm to plan farrowing house capacity.<\/p>\n\n\n\n

Management can see:<\/p>\n\n\n\n

Expected sows<\/p>\n\n\n\n

Available pens or crates<\/p>\n\n\n\n

Planned movement<\/p>\n\n\n\n

Expected dates<\/p>\n\n\n\n

This becomes increasingly important on larger pig farms.<\/p>\n\n\n\n

Farrowing Record<\/strong><\/p>\n\n\n\n

When farrowing occurs, the system can capture:<\/p>\n\n\n\n

Sow<\/p>\n\n\n\n

Date<\/p>\n\n\n\n

Parity<\/p>\n\n\n\n

Total born<\/p>\n\n\n\n

Born alive<\/p>\n\n\n\n

Stillborn<\/p>\n\n\n\n

Mummified<\/p>\n\n\n\n

Other farm-defined classifications<\/p>\n\n\n\n

The exact classifications should follow the farm’s operating practice.<\/p>\n\n\n\n

Litter Management<\/strong><\/p>\n\n\n\n

The litter becomes an important production unit.<\/p>\n\n\n\n

The system can maintain:<\/p>\n\n\n\n

Sow<\/p>\n\n\n\n

Litter number<\/p>\n\n\n\n

Farrowing date<\/p>\n\n\n\n

Born alive<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Transfers<\/p>\n\n\n\n

Fostered piglets<\/p>\n\n\n\n

Weaned quantity<\/p>\n\n\n\n

Weaning weight<\/p>\n\n\n\n

This gives management a complete view from farrowing to weaning.<\/p>\n\n\n\n

Born Alive Versus Total Born<\/strong><\/p>\n\n\n\n

Total born alone does not tell the complete story.<\/p>\n\n\n\n

Management should distinguish between:<\/p>\n\n\n\n

Total born<\/p>\n\n\n\n

Born alive<\/p>\n\n\n\n

Stillborn<\/p>\n\n\n\n

Other relevant categories<\/p>\n\n\n\n

This helps evaluate reproductive performance more accurately.<\/p>\n\n\n\n

Piglet Mortality<\/strong><\/p>\n\n\n\n

Pre-weaning mortality has a direct impact on the number of pigs available for the next production stage.<\/p>\n\n\n\n

Mortality can be recorded by:<\/p>\n\n\n\n

Litter<\/p>\n\n\n\n

Date<\/p>\n\n\n\n

Age<\/p>\n\n\n\n

Reason<\/p>\n\n\n\n

Quantity<\/p>\n\n\n\n

Management can then analyse where and why piglet losses are occurring.<\/p>\n\n\n\n

Cross-Fostering<\/strong><\/p>\n\n\n\n

Piglets may move between sows to balance litter size or improve survival.<\/p>\n\n\n\n

The system should maintain:<\/p>\n\n\n\n

From sow<\/p>\n\n\n\n

To sow<\/p>\n\n\n\n

Piglet quantity<\/p>\n\n\n\n

Date<\/p>\n\n\n\n

Reason<\/p>\n\n\n\n

This helps preserve litter reconciliation.<\/p>\n\n\n\n

Piglet Population Reconciliation<\/strong><\/p>\n\n\n\n

A litter should reconcile.<\/p>\n\n\n\n

For example:<\/p>\n\n\n\n

Born alive<\/p>\n\n\n\n

Plus piglets received<\/p>\n\n\n\n

Minus piglets transferred<\/p>\n\n\n\n

Minus mortality<\/p>\n\n\n\n

Equals piglets available for weaning<\/p>\n\n\n\n

This basic control prevents unexplained differences in animal numbers.<\/p>\n\n\n\n

Weaning<\/strong><\/p>\n\n\n\n

At weaning, the system can record:<\/p>\n\n\n\n

Sow<\/p>\n\n\n\n

Litter<\/p>\n\n\n\n

Weaning date<\/p>\n\n\n\n

Piglets weaned<\/p>\n\n\n\n

Weaning weight<\/p>\n\n\n\n

Destination<\/p>\n\n\n\n

This closes the farrowing and lactation stage for the litter.<\/p>\n\n\n\n

Weaning Performance<\/strong><\/p>\n\n\n\n

Management can analyse:<\/p>\n\n\n\n

Piglets weaned per litter<\/p>\n\n\n\n

Average weaning weight<\/p>\n\n\n\n

Pre-weaning mortality<\/p>\n\n\n\n

Lactation period<\/p>\n\n\n\n

Performance by sow<\/p>\n\n\n\n

Performance by parity<\/p>\n\n\n\n

This gives a better view of sow productivity.<\/p>\n\n\n\n

Sow After Weaning<\/strong><\/p>\n\n\n\n

The sow does not disappear after piglets are weaned.<\/p>\n\n\n\n

She may return to the breeding cycle.<\/p>\n\n\n\n

Management can monitor:<\/p>\n\n\n\n

Weaning date<\/p>\n\n\n\n

Next heat<\/p>\n\n\n\n

Next service<\/p>\n\n\n\n

Days from weaning to service<\/p>\n\n\n\n

New pregnancy<\/p>\n\n\n\n

Next parity<\/p>\n\n\n\n

This is why pig breeding needs lifecycle-based management rather than separate event registers.<\/p>\n\n\n\n

Weaner Management<\/strong><\/p>\n\n\n\n

After weaning, piglets may move into a weaner or nursery stage.<\/p>\n\n\n\n

At this point, group-level management often becomes more practical.<\/p>\n\n\n\n

The system can maintain:<\/p>\n\n\n\n

Batch<\/p>\n\n\n\n

Source<\/p>\n\n\n\n

Animal quantity<\/p>\n\n\n\n

Age<\/p>\n\n\n\n

Opening weight<\/p>\n\n\n\n

Feed<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Medication<\/p>\n\n\n\n

Vaccination<\/p>\n\n\n\n

Transfers<\/p>\n\n\n\n

Closing quantity<\/p>\n\n\n\n

Grower Stage<\/strong><\/p>\n\n\n\n

As pigs progress, they may move to the grower stage.<\/p>\n\n\n\n

The system can track:<\/p>\n\n\n\n

Batch<\/p>\n\n\n\n

Population<\/p>\n\n\n\n

Feed consumption<\/p>\n\n\n\n

Weight<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Health<\/p>\n\n\n\n

Age<\/p>\n\n\n\n

Farm<\/p>\n\n\n\n

Location<\/p>\n\n\n\n

This provides continuity through the production cycle.<\/p>\n\n\n\n

Finisher Stage<\/strong><\/p>\n\n\n\n

The final production stage may focus heavily on:<\/p>\n\n\n\n

Feed efficiency<\/p>\n\n\n\n

Weight gain<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Days to target weight<\/p>\n\n\n\n

Cost per pig<\/p>\n\n\n\n

Sale readiness<\/p>\n\n\n\n

Management needs to know not only how many pigs are available but whether they are reaching the required market weight economically.<\/p>\n\n\n\n

Stage Movement<\/strong><\/p>\n\n\n\n

A typical pig production flow may look like:<\/p>\n\n\n\n

Gilt \u2192 Service \u2192 Gestation \u2192 Farrowing \u2192 Piglet \u2192 Weaner \u2192 Grower \u2192 Finisher<\/strong><\/p>\n\n\n\n

Not every movement is simply a stock transfer.<\/p>\n\n\n\n

Each stage represents a biological and management change.<\/p>\n\n\n\n

The software should retain this lifecycle.<\/p>\n\n\n\n

Pig Feed Management<\/strong><\/p>\n\n\n\n

Feed is normally one of the largest costs in pig production.<\/p>\n\n\n\n

Consumption can be recorded by:<\/p>\n\n\n\n

Sow<\/p>\n\n\n\n

Stage<\/p>\n\n\n\n

Batch<\/p>\n\n\n\n

Farm<\/p>\n\n\n\n

House<\/p>\n\n\n\n

Feed type<\/p>\n\n\n\n

Date<\/p>\n\n\n\n

Quantity<\/p>\n\n\n\n

This provides the base for both production and cost analysis.<\/p>\n\n\n\n

Feed by Production Stage<\/strong><\/p>\n\n\n\n

Feed requirements differ across stages.<\/p>\n\n\n\n

The business may use different feed programs for:<\/p>\n\n\n\n

Gestation<\/p>\n\n\n\n

Lactation<\/p>\n\n\n\n

Piglets<\/p>\n\n\n\n

Weaners<\/p>\n\n\n\n

Growers<\/p>\n\n\n\n

Finishers<\/p>\n\n\n\n

Tracking consumption by stage helps management understand where feed cost is being incurred.<\/p>\n\n\n\n

Feed Consumption Per Pig<\/strong><\/p>\n\n\n\n

Total feed consumption alone can be misleading.<\/p>\n\n\n\n

Management can analyse feed relative to:<\/p>\n\n\n\n

Animal population<\/p>\n\n\n\n

Days<\/p>\n\n\n\n

Weight gain<\/p>\n\n\n\n

Production stage<\/p>\n\n\n\n

This gives a more useful operational view.<\/p>\n\n\n\n

Weight Management<\/strong><\/p>\n\n\n\n

Weight can be recorded at important production stages.<\/p>\n\n\n\n

For example:<\/p>\n\n\n\n

Birth weight<\/p>\n\n\n\n

Weaning weight<\/p>\n\n\n\n

Grower weight<\/p>\n\n\n\n

Finisher weight<\/p>\n\n\n\n

Sale weight<\/p>\n\n\n\n

This allows management to see how animals are progressing through the cycle.<\/p>\n\n\n\n

Average Daily Gain<\/strong><\/p>\n\n\n\n

For growing pigs, management can compare:<\/p>\n\n\n\n

Opening weight<\/p>\n\n\n\n

Current weight<\/p>\n\n\n\n

Days<\/p>\n\n\n\n

Average Daily Gain<\/p>\n\n\n\n

This can be reviewed together with feed consumption and mortality.<\/p>\n\n\n\n

Feed Conversion<\/strong><\/p>\n\n\n\n

Feed conversion becomes particularly important during growing and finishing.<\/p>\n\n\n\n

Management can compare:<\/p>\n\n\n\n

Feed consumed<\/p>\n\n\n\n

Weight gain<\/p>\n\n\n\n

FCR<\/p>\n\n\n\n

Batch<\/p>\n\n\n\n

Farm<\/p>\n\n\n\n

Period<\/p>\n\n\n\n

A higher final weight does not automatically mean a better-performing batch if it required significantly more feed.<\/p>\n\n\n\n

Pig Health Management<\/strong><\/p>\n\n\n\n

Health records can include:<\/p>\n\n\n\n

Animal or batch<\/p>\n\n\n\n

Condition<\/p>\n\n\n\n

Treatment<\/p>\n\n\n\n

Medicine<\/p>\n\n\n\n

Dose<\/p>\n\n\n\n

Date<\/p>\n\n\n\n

Veterinarian<\/p>\n\n\n\n

Outcome<\/p>\n\n\n\n

This creates a health history that can be reviewed with production performance.<\/p>\n\n\n\n

Vaccination<\/strong><\/p>\n\n\n\n

Vaccination schedules may differ by production stage.<\/p>\n\n\n\n

The system can identify:<\/p>\n\n\n\n

Planned vaccination<\/p>\n\n\n\n

Due date<\/p>\n\n\n\n

Animal or batch<\/p>\n\n\n\n

Actual completion<\/p>\n\n\n\n

Vaccine<\/p>\n\n\n\n

Dose<\/p>\n\n\n\n

This reduces the risk of missed activities.<\/p>\n\n\n\n

Medicine Consumption<\/strong><\/p>\n\n\n\n

When medicine is used, it can be linked with the animal or batch receiving the treatment.<\/p>\n\n\n\n

This gives the business both:<\/p>\n\n\n\n

Health history<\/p>\n\n\n\n

Inventory consumption<\/p>\n\n\n\n

Mortality by Production Stage<\/strong><\/p>\n\n\n\n

Mortality should be analysed separately across stages.<\/p>\n\n\n\n

For example:<\/p>\n\n\n\n

Pre-weaning mortality<\/p>\n\n\n\n

Weaner mortality<\/p>\n\n\n\n

Grower mortality<\/p>\n\n\n\n

Finisher mortality<\/p>\n\n\n\n

Sow mortality<\/p>\n\n\n\n

A single farm-level mortality percentage can hide where the real problem exists.<\/p>\n\n\n\n

Mortality Reason<\/strong><\/p>\n\n\n\n

Recording a reason helps management identify recurring patterns.<\/p>\n\n\n\n

Analysis can be done by:<\/p>\n\n\n\n

Farm<\/p>\n\n\n\n

Stage<\/p>\n\n\n\n

Age<\/p>\n\n\n\n

Batch<\/p>\n\n\n\n

Reason<\/p>\n\n\n\n

Period<\/p>\n\n\n\n

This is more useful than only reporting the number of dead pigs.<\/p>\n\n\n\n

Culling<\/strong><\/p>\n\n\n\n

Breeding animals may be culled due to:<\/p>\n\n\n\n

Age<\/p>\n\n\n\n

Poor reproductive performance<\/p>\n\n\n\n

Health<\/p>\n\n\n\n

Repeated service<\/p>\n\n\n\n

Low litter performance<\/p>\n\n\n\n

Physical condition<\/p>\n\n\n\n

The system should maintain the culling reason so management can analyse breeding herd replacement.<\/p>\n\n\n\n

Sow Performance History<\/strong><\/p>\n\n\n\n

One of the strongest benefits of individual sow management is the ability to see complete lifetime performance.<\/p>\n\n\n\n

For example:<\/p>\n\n\n\n

Number of parities<\/p>\n\n\n\n

Total born<\/p>\n\n\n\n

Born alive<\/p>\n\n\n\n

Piglets weaned<\/p>\n\n\n\n

Average litter size<\/p>\n\n\n\n

Repeat services<\/p>\n\n\n\n

Farrowing history<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Culling reason<\/p>\n\n\n\n

This helps management make better breeding decisions.<\/p>\n\n\n\n

Boar Management<\/strong><\/p>\n\n\n\n

Where boars are maintained, their records can include:<\/p>\n\n\n\n

Animal ID<\/p>\n\n\n\n

Breed<\/p>\n\n\n\n

Age<\/p>\n\n\n\n

Health<\/p>\n\n\n\n

Breeding activity<\/p>\n\n\n\n

Semen information where applicable<\/p>\n\n\n\n

Location<\/p>\n\n\n\n

Status<\/p>\n\n\n\n

This completes the breeding management process.<\/p>\n\n\n\n

Pig Movement Between Farms<\/strong><\/p>\n\n\n\n

Pigs may move between:<\/p>\n\n\n\n

Breeding farm<\/p>\n\n\n\n

Farrowing unit<\/p>\n\n\n\n

Nursery<\/p>\n\n\n\n

Grower farm<\/p>\n\n\n\n

Finisher farm<\/p>\n\n\n\n

The system should maintain:<\/p>\n\n\n\n

Source<\/p>\n\n\n\n

Destination<\/p>\n\n\n\n

Batch<\/p>\n\n\n\n

Quantity<\/p>\n\n\n\n

Weight<\/p>\n\n\n\n

Date<\/p>\n\n\n\n

This creates visibility across multi-site pig operations.<\/p>\n\n\n\n

Population Reconciliation<\/strong><\/p>\n\n\n\n

At any point, management should be able to reconcile:<\/p>\n\n\n\n

Opening animals<\/p>\n\n\n\n

Birth<\/p>\n\n\n\n

Purchase<\/p>\n\n\n\n

Transfer in<\/p>\n\n\n\n

Transfer out<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Culling<\/p>\n\n\n\n

Sale<\/p>\n\n\n\n

Closing animals<\/p>\n\n\n\n

Unexplained differences should be visible rather than hidden inside month-end adjustments.<\/p>\n\n\n\n

Pig Farm Inventory<\/strong><\/p>\n\n\n\n

Farm inventory may include:<\/p>\n\n\n\n

Feed<\/p>\n\n\n\n

Medicine<\/p>\n\n\n\n

Vaccines<\/p>\n\n\n\n

Disinfectants<\/p>\n\n\n\n

Farm consumables<\/p>\n\n\n\n

Other materials<\/p>\n\n\n\n

Inventory should be visible by farm or store where required.<\/p>\n\n\n\n

Pig Farm Costing<\/strong><\/p>\n\n\n\n

A pig reaches market weight through several stages.<\/p>\n\n\n\n

Cost accumulates along the way.<\/p>\n\n\n\n

Depending on the company’s costing model, this may include:<\/p>\n\n\n\n

Breeding cost<\/p>\n\n\n\n

Piglet cost<\/p>\n\n\n\n

Feed<\/p>\n\n\n\n

Medicine<\/p>\n\n\n\n

Vaccination<\/p>\n\n\n\n

Labour<\/p>\n\n\n\n

Farm expenses<\/p>\n\n\n\n

Mortality impact<\/p>\n\n\n\n

Other overheads<\/p>\n\n\n\n

Cost Per Pig<\/strong><\/p>\n\n\n\n

Management should be able to understand the cost of producing a pig rather than only total farm expense.<\/p>\n\n\n\n

Cost per pig can be analysed by:<\/p>\n\n\n\n

Batch<\/p>\n\n\n\n

Stage<\/p>\n\n\n\n

Farm<\/p>\n\n\n\n

Period<\/p>\n\n\n\n

This makes production performance commercially meaningful.<\/p>\n\n\n\n

Cost Per KG Live Weight<\/strong><\/p>\n\n\n\n

For finishing operations, cost per KG live weight can be an important commercial measure.<\/p>\n\n\n\n

It brings together:<\/p>\n\n\n\n

Animal cost<\/p>\n\n\n\n

Feed<\/p>\n\n\n\n

Health<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Other production costs<\/p>\n\n\n\n

Final weight<\/p>\n\n\n\n

This gives management a clearer view of production economics.<\/p>\n\n\n\n

Mortality Has a Cost<\/strong><\/p>\n\n\n\n

Feed and medicine already consumed by an animal do not disappear when that animal dies.<\/p>\n\n\n\n

Mortality therefore affects more than animal numbers.<\/p>\n\n\n\n

It affects the cost of the surviving production output.<\/p>\n\n\n\n

This is why mortality needs to be considered in both operational and cost analysis.<\/p>\n\n\n\n

Pig Sales<\/strong><\/p>\n\n\n\n

When pigs reach the required market stage, sales can be recorded by:<\/p>\n\n\n\n

Batch<\/p>\n\n\n\n

Animal quantity<\/p>\n\n\n\n

Weight<\/p>\n\n\n\n

Customer<\/p>\n\n\n\n

Rate<\/p>\n\n\n\n

Value<\/p>\n\n\n\n

Dispatch date<\/p>\n\n\n\n

This completes the production lifecycle.<\/p>\n\n\n\n

Weight-Based Pig Sales<\/strong><\/p>\n\n\n\n

Where pigs are sold by actual live weight, the sales process can use:<\/p>\n\n\n\n

Animal quantity<\/p>\n\n\n\n

Total weight<\/p>\n\n\n\n

Average weight<\/p>\n\n\n\n

Rate per KG<\/p>\n\n\n\n

Sale value<\/p>\n\n\n\n

This connects production performance with revenue.<\/p>\n\n\n\n

Multi-Farm Piggery Management<\/strong><\/p>\n\n\n\n

Large pig businesses may operate separate:<\/p>\n\n\n\n

Breeding farms<\/p>\n\n\n\n

Farrowing farms<\/p>\n\n\n\n

Nursery units<\/p>\n\n\n\n

Grower farms<\/p>\n\n\n\n

Finisher farms<\/p>\n\n\n\n

Management should be able to follow animals across these locations while maintaining population and cost continuity.<\/p>\n\n\n\n

Daily Pig Farm Dashboard<\/strong><\/p>\n\n\n\n

Management may want to see:<\/p>\n\n\n\n

Breeding herd population<\/p>\n\n\n\n

Services due<\/p>\n\n\n\n

Pregnancy checks due<\/p>\n\n\n\n

Expected farrowing<\/p>\n\n\n\n

Farrowing completed<\/p>\n\n\n\n

Born alive<\/p>\n\n\n\n

Piglet mortality<\/p>\n\n\n\n

Weaning<\/p>\n\n\n\n

Weaner population<\/p>\n\n\n\n

Grower population<\/p>\n\n\n\n

Finisher population<\/p>\n\n\n\n

Feed consumption<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Sale-ready pigs<\/p>\n\n\n\n

Exception-Based Management<\/strong><\/p>\n\n\n\n

The system should highlight situations requiring attention.<\/p>\n\n\n\n

For example:<\/p>\n\n\n\n

Sow overdue for service<\/p>\n\n\n\n

Pregnancy check pending<\/p>\n\n\n\n

Expected farrowing approaching<\/p>\n\n\n\n

High stillbirth<\/p>\n\n\n\n

High pre-weaning mortality<\/p>\n\n\n\n

Low weaning weight<\/p>\n\n\n\n

Grower weight below target<\/p>\n\n\n\n

Feed consumption above expected level<\/p>\n\n\n\n

High finisher mortality<\/p>\n\n\n\n

These are more useful than simply producing another daily register.<\/p>\n\n\n\n

NAVFarm for Pig Farm Management<\/strong><\/p>\n\n\n\n

NAVFarm can support the pig production lifecycle from breeding through finishing.<\/p>\n\n\n\n

Depending on the operation, it can connect:<\/p>\n\n\n\n

Individual breeding animals<\/p>\n\n\n\n

Parity<\/p>\n\n\n\n

Gestation<\/p>\n\n\n\n

Farrowing<\/p>\n\n\n\n

Litters<\/p>\n\n\n\n

Weaning<\/p>\n\n\n\n

Growing batches<\/p>\n\n\n\n

Feed<\/p>\n\n\n\n

Health<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Weight<\/p>\n\n\n\n

Inventory<\/p>\n\n\n\n

Costing<\/p>\n\n\n\n

Sales<\/p>\n\n\n\n

Traceability<\/p>\n\n\n\n

This provides one operational structure across the piggery.<\/p>\n\n\n\n

NAVFarm With Microsoft Dynamics 365 Business Central<\/strong><\/p>\n\n\n\n

Where the business uses Microsoft Dynamics 365 Business Central, NAVFarm can manage pig-specific operations while Business Central manages areas such as:<\/p>\n\n\n\n

Purchasing<\/p>\n\n\n\n

Inventory<\/p>\n\n\n\n

Vendors<\/p>\n\n\n\n

Customers<\/p>\n\n\n\n

Sales<\/p>\n\n\n\n

Finance<\/p>\n\n\n\n

Accounting<\/p>\n\n\n\n

This helps connect farm activity with wider business and financial processes.<\/p>\n\n\n\n

NAVFarm With an Existing ERP<\/strong><\/p>\n\n\n\n

Piggery companies already using SAP, Oracle or another ERP may not need to replace their existing corporate system.<\/p>\n\n\n\n

NAVFarm can be assessed for integration based on the customer’s existing ERP, available interfaces and required business transactions.<\/p>\n\n\n\n

This allows the farm to gain livestock-specific functionality while retaining the existing financial environment.<\/p>\n\n\n\n

A Practical Sow Lifecycle Example<\/strong><\/p>\n\n\n\n

A gilt is selected for breeding.<\/p>\n\n\n\n

She is serviced.<\/p>\n\n\n\n

Pregnancy is confirmed.<\/p>\n\n\n\n

The expected farrowing date is calculated.<\/p>\n\n\n\n

She moves to the farrowing unit.<\/p>\n\n\n\n

She gives birth to 13 piglets, of which 12 are born alive.<\/p>\n\n\n\n

During lactation, one piglet dies.<\/p>\n\n\n\n

Eleven piglets are weaned.<\/p>\n\n\n\n

The sow returns to service and starts the next reproductive cycle.<\/p>\n\n\n\n

Instead of maintaining these events in separate registers, the entire history remains connected with the same sow.<\/p>\n\n\n\n

That is what makes parity and lifetime sow analysis possible.<\/p>\n\n\n\n

A Practical Grower Batch Example<\/strong><\/p>\n\n\n\n

A weaner batch starts with 500 pigs.<\/p>\n\n\n\n

During the production cycle, the system records:<\/p>\n\n\n\n

Opening population<\/p>\n\n\n\n

Feed consumption<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Medicine<\/p>\n\n\n\n

Weight<\/p>\n\n\n\n

Transfers<\/p>\n\n\n\n

By the end of the grower stage, management can see:<\/p>\n\n\n\n

Closing population<\/p>\n\n\n\n

Average weight<\/p>\n\n\n\n

Feed consumed<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Cost per pig<\/p>\n\n\n\n

The batch then moves to finishing without losing its history.<\/p>\n\n\n\n

What to Look for in Pig Farm Management Software<\/strong><\/p>\n\n\n\n

Before selecting a solution, check whether it supports:<\/p>\n\n\n\n

Gilt management<\/p>\n\n\n\n

Sow management<\/p>\n\n\n\n

Boar management<\/p>\n\n\n\n

Service<\/p>\n\n\n\n

AI<\/p>\n\n\n\n

Pregnancy<\/p>\n\n\n\n

Gestation<\/p>\n\n\n\n

Farrowing<\/p>\n\n\n\n

Parity<\/p>\n\n\n\n

Litter management<\/p>\n\n\n\n

Piglet management<\/p>\n\n\n\n

Cross-fostering<\/p>\n\n\n\n

Weaning<\/p>\n\n\n\n

Weaner<\/p>\n\n\n\n

Grower<\/p>\n\n\n\n

Finisher<\/p>\n\n\n\n

Feed<\/p>\n\n\n\n

Weight<\/p>\n\n\n\n

FCR<\/p>\n\n\n\n

Health<\/p>\n\n\n\n

Vaccination<\/p>\n\n\n\n

Medication<\/p>\n\n\n\n

Mortality<\/p>\n\n\n\n

Culling<\/p>\n\n\n\n

Movement<\/p>\n\n\n\n

Inventory<\/p>\n\n\n\n

Costing<\/p>\n\n\n\n

Sales<\/p>\n\n\n\n

Traceability<\/p>\n\n\n\n

Multi-farm operations<\/p>\n\n\n\n

Mobile data entry<\/p>\n\n\n\n

ERP integration<\/p>\n\n\n\n

Frequently Asked Questions<\/strong><\/p>\n\n\n\n

What is Pig Farm Management Software?<\/strong><\/p>\n\n\n\n

It is software used to manage pig breeding, gestation, farrowing, litters, weaning, growing, finishing, feed, health, mortality, costing and other pig farm operations.<\/p>\n\n\n\n

Can individual sows be tracked?<\/strong><\/p>\n\n\n\n

Yes. Each breeding sow can have an individual record containing parity, service, pregnancy, farrowing, litter and health history.<\/p>\n\n\n\n

Can parity be managed?<\/strong><\/p>\n\n\n\n

Yes. The sow’s reproductive cycles can be maintained so performance can be analysed by parity.<\/p>\n\n\n\n

Can piglets be tracked from farrowing to weaning?<\/strong><\/p>\n\n\n\n

Yes. Litter information can include born alive, mortality, transfers, cross-fostering and weaning.<\/p>\n\n\n\n

Can grower and finisher pigs be managed by batch?<\/strong><\/p>\n\n\n\n

Yes. Group or batch management can be used where individual animal tracking is not operationally required.<\/p>\n\n\n\n

Can feed and FCR be monitored?<\/strong><\/p>\n\n\n\n

Yes. Feed consumption, weight gain and FCR can be analysed at the relevant production stage or batch level.<\/p>\n\n\n\n

Can pig farm cost per animal be calculated?<\/strong><\/p>\n\n\n\n

Yes. Feed, medicine, animal cost and other relevant expenses can contribute to cost per pig according to the company’s costing methodology.<\/p>\n\n\n\n

Can pig farm software integrate with an existing ERP?<\/strong><\/p>\n\n\n\n

Yes. NAVFarm can work with Microsoft Dynamics 365 Business Central or be assessed for integration with other ERP systems based on the customer’s requirements.<\/p>\n\n\n\n

The Sow, the Litter and the Growing Pig Are Part of One Business Cycle<\/strong><\/p>\n\n\n\n

Piggery management becomes difficult when breeding, farrowing, weaning and growing are treated as separate registers.<\/p>\n\n\n\n

They are not separate processes.<\/p>\n\n\n\n

They are connected stages of the same production cycle.<\/p>\n\n\n\n

Gilt \u2192 Service \u2192 Gestation \u2192 Farrowing \u2192 Piglet \u2192 Weaner \u2192 Grower \u2192 Finisher \u2192 Sale<\/strong><\/p>\n\n\n\n

Feed, mortality, weight and cost follow the animals through that journey.<\/p>\n\n\n\n

When the complete cycle is visible in one system, management can understand not only how many pigs are on the farm, but how efficiently those pigs are being produced and what they are costing the business.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

A Pig Farm Is a Continuous Production Cycle A pig farm does not simply manage animals. It manages a continuous biological production cycle. A gilt … Read More ›<\/a><\/span><\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[312],"tags":[214,179,345],"class_list":["post-6164","post","type-post","status-publish","format-standard","hentry","category-piggery-management-software","tag-livestock","tag-livestockmanagement","tag-piggery"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/posts\/6164","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/comments?post=6164"}],"version-history":[{"count":1,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/posts\/6164\/revisions"}],"predecessor-version":[{"id":6166,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/posts\/6164\/revisions\/6166"}],"wp:attachment":[{"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/media?parent=6164"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/categories?post=6164"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.navfarm.com\/blog\/wp-json\/wp\/v2\/tags?post=6164"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}