Farm inventory budget procedure
Farm inventory budgeting procedures are based on standard production conditions. Under normal circumstances, the total number of farms is calculated as ten times the number of sows. Currently, our budget for the first four months is quite accurate because we can obtain the exact number of breedings each month from PIGTALES.
Core Group:
1. Normal Conditions:
The number of sows in the nucleus is calculated as: the number of sows at the end of the previous month minus the number of animals multiplied by the annual elimination rate of 45%, plus the number of gilts transferred to boars each month. This equals the total stock plus the number of reserved boars transferred monthly, minus the monthly elimination quantity.
2. Current Situation:
The number of sows in the nucleus is calculated as: the number of sows from the previous month, plus the number of gilts born between 170 and 200 days old multiplied by a 90% survival rate, minus the number of gilts culled each month. The number of boars to be culled under current conditions is minimized to avoid any impact on production.
Number of Suckling Piglets:
1. First Four Months (Data from PIGTALES):
The number of suckling piglets is calculated as: the number of piglets at the end of the previous month, plus the number of sows bred 85 to 114 days ago multiplied by an 85% fertility rate, multiplied by the average number of live births per litter (10), multiplied by a 93% survival rate, minus the number of piglets weaned this month.
2. After Four Months:
The number of suckling piglets is calculated as: the number of piglets at the end of the previous month, plus [the number of piglets weaned (20% culled) plus the number of new gilts introduced] multiplied by an 85% breeding rate, multiplied by the average number of litters born, multiplied by a 93% survival rate, minus the number of piglets weaned this month.
This process ensures that our farm inventory remains aligned with actual breeding outcomes and helps us maintain efficient resource planning while adapting to real-time changes in sow and gilt populations.
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