Why synchronize? Second part
In our previous article we discussed the management of a farm that uses hormones continuously to synchronize farrowings and heats, and explained the reasons why this farm had chosen this type of management.
The next question we should ask ourselves is whether this management somehow affects the reproductive efficiency of the farm.
In order to assess this, we study the farm productivity "tree" or diagram for weaned piglets / serviced sow / year.
Productivity diagrams are a very useful analysis tool, showing and linking the main indicators of efficiency, while also weighing the importance of each one (the further down in the tree, the less global influence).
The following graph shows two 12-month and 4-month periods.
Figure 4. Productivity tree, 1-year and 4-month periods

Overall farm productivity is very high; a low lactation length, which helps get more litters per sow and year, obviously also helps. If we analyse the gestation and farrowing quarters, we observe the following:
Table 3. Results of services per parity, two-year period
| Parity | ||||||
| 0 | 1 | 2-4 | 5+ | Total | % | |
| 1st services | 332 | 357 | 758 | 330 | 1777 | |
| % sows serviced | 18.7% | 20.1% | 42.7% | 18.6% | 100% | |
| Weaning-service interval | 4.8 | 4.7 | 4.8 | 4.7 | ||
| Return | 23 | 68 | 26 | 2 | 119 | |
| As % of all losses | 46.9% | 61.8% | 20.3% | 2.1% | ||
| Early return | 0 | 0 | 0 | 0 | 0 | |
| Acyclic return | 3 | 9 | 6 | 0 | 18 | |
| Late return | 20 | 59 | 20 | 2 | 101 | |
| Cyclic returns 1 | 0 | 0 | 0 | 0 | 0 | |
| Return rate | 6.9% | 19.0% | 3.4% | 0.6% | 6.7% | |
| Returns average interval | 62.1 | 59.4 | 59.2 | 56.0 | 59.8 | |
| Average NPD | 119 | 64 | 64 | 62 | 74.6 | 36.6% |
| Dead | 8 | 5 | 7 | 3 | 23 | |
| As % of all losses | 16.3% | 4.5% | 5.5% | 3.2% | 6.0% | |
| As % of 1st service | 2.4% | 1.4% | 0.9% | 0.9% | 1.3% | |
| Average NPD | 123 | 63 | 76 | 83 | 90.2 | 36.6% |
| Sold or abattoir | 17 | 37 | 95 | 89 | 238 | |
| As % of all losses | 34.7% | 33.6% | 74.2% | 94.7% | 62.5% | |
| As % of 1st service | 5.1% | 10.4% | 12.5% | 27.0% | 13.4% | |
| Average NDP | 144 | 75 | 46 | 40 | 55.1 | 54.1% |
| Total failures | 49 | 110 | 128 | 94 | 381 | |
| As % of 1st service | 14.8% | 30.8% | 16.9% | 28.5% | 21.4% | |
| Average NPD | 130 | 68 | 51 | 42 | 63.7 | 100.0% |
| Late | 0 | 1 | 1 | 1 | 3 | |
| Average NPD | 786 | 925 | 478 | 729.7 | ||
| Farrowed | 283 | 246 | 629 | 235 | 1393 | |
| Delayed farrowing | 0 | 0 | 0 | 0 | 0 | |
| Farrowing rate | 85.2% | 68.9% | 83.0% | 71.2% | 78.4% | |
| (more than 125 days) | 100.0% | 100.0% | 100.0% | 100.0% | 100.0% | |
| Average born alive | 13.4 | 12.3 | 14.2 | 13.9 | 13.7 | |
| Average stillborn | 0.4 | 0.4 | 0.7 | 1.1 | 0.6 | |
The following are noticed:
This article explains what the management is like in a farm where workload scheduling and synchronization and stability of production rates are priority areas, and details how they achieve this through the massive use of reproductive hormones that help synchronize heats and farrowings. At the other end would be all those farms where such hormones are not used, with their advantages and disadvantages. Such farms will be the subject of a future article.