The Use of Data for Cost Effective

Management

Doug MacDougald

MacDougald and Morris, 11 William Street S., Wellesley, ON, Canada, N0B 2T0

The challenge of data use is to simplify the data to the point at which they can be effectively analyzed without compromising the decision making process. This paper will use two key production areas; lactation feed intake and gilt pool management, as examples of the use of data leading to good decision making.

The inter-relationship between factors influencing weaned pig output shown in Figure 1 highlights the importance of sows farrowed per week as the overwhelming driver of pigs weaned per week. Dial et al. (1996) showed this component accounted for 96% of the variation in pigs weaned per week. Sows served per week accounted for 94% of the variation of sows farrowed per week and sows served were driven by two key factors, normal wean to service intervals (<7 days) and gilts served per week.



Lactation Feed Intake

This is one of the key factors affecting the consistency of wean to service interval (Koketsu et al., 1996) and much has been written on the management and monitoring of lactation feed intake. However, there has been little effort in putting this information into a format that is useful as a management guide or staff feedback tool. Three key components of lactation feed management include:

1. Have a written standard operating procedure detailing exactly how the sow is to be fed from entering the farrowing room before farrowing to leaving at weaning.

2. Actual feed intake charts recording daily feed levels (Figure 2).

Figure 2. Example of a simple lactation feed intake record sheet.

3. A weekly monitor showing average feed intake per lactating day. This is calculated by totalling the lactation feed delivered to the lactating sows for the interval and dividing it by the total lactating days for the same interval. Total lactation days is derived from PigCHAMP® using the Productivity Analysis Report (Table 1).

This type of report has the advantage of an external monitor of actual weekly feed levels that gives immediate feedback to staff and management.

Table 1. Productivity analysis records recovered from PigCHAMP® 4.02 showing the key information used to calculate "Total Lactation Days".
Non-Productive Sow Days

Entry to first service

Entry to removal (no service)

1st service to concept (gilts)

1st service to removal (gilts)

Wean to 1st service

Wean to removal (no service)

1st service to concept (sows)

1st service to removal (sows)

Total non-productive sow days



13.4

0.0

2.1

.0

11.9

2.5

9.1

4.3

43.3

Oct. 25-31, 1997 (A)
Productive Sow Days

Lactation

Gestation

Total productive sow days



33.9

287.8

321.7



(B)
Key Intervals (Days)

Entry to 1st service

Entry to removal (no service)

Old 1st service to concept (gilts)

New 1st service to concept (gilts)

1st service to removal (gilts)

Wean to first service

Wean to removal (no service)

Old 1st service to concept (sows)

New 1st service to concept (sows)

1st service to removal (sows)



18.7

0.0

0.0

0.0

0.0

5.3

0.0

0.0

0.0

0.0

Percent of Ave Female Inventory

Maiden gilts

Served gilts

Lactating sows

Weaned sows

Served sows

Average female inventory



3.7

5.8

9.3

3.9

77.3

858.0













(C)
Female Removal Information
Number of gilts entered Total location days/interval
Number of gilts served

Percent served then removed

Percent with know results

3

0.0

0.0

= A ÷ 365 × B × C
Number of sows weaned

Percent removed (no service)

Percent with know results

32

6.3

93.8

= 7 ÷ 365 × 33.9 × 858 = 558
Number of sows served

Percent served then removed

Percent with known results

37

0.0

0.0





















The data from the two herds in Figures 3 and 4 show some of the differences that exist from herd to herd and forms a basis for correcting any shortfall in intake. It is not a surprise that the herd in Figure 3 was achieving 19.4 pigs weaned /mated sow/year compared to 24.8 pigs in the herd in Figure 4. Note this projects to a difference of > $3.00 in sow feed cost per weaned pig.

Gilt Pool

Gilts served/week accounted for the second largest component affecting the variation of females served per week. Similar to lactation feed intake, much has been written about gilt pool management. However, again the problem has been lack of direction on practical application of data to drive an efficient breeding program. Two key components of gilt pool management are:

1. Have a written standard operating procedure detailing exactly how the gilt pool is to operate. Some of the key points include:

2. Using the HNS event has greatly improved the accuracy of projected gilts available to breed within specific dates. This report (Table 2) is generated by exporting the information from PigCHAMP® into a spreadsheet.

In summary, sows served per week is the key component to work on for reducing variation in pigs weaned per week. Lactation feed intake and gilt pool management are crucial management areas that data can be used to fine tune productivity.

References

Dial et al. (1996) The influence of the gilt pool on weaned pig output. Proceedings of the Allen D. Leman Conference. pp. 39-41.

Koketsu et al. (1996) The influence of nutrient intake on biological measures of breeding herd productivity. Swine Health and Production. 1996; vol. 4(2): 85-94.

Table 2. Gilt Pool Report - Total Gilts = 48; Date: 17-Nov-97.
ID Entry Date Heat NS Date: 2nd Projected Heat 3rd Projected Heat Entry-HNS Interval Days in Herd Flag Pen
480 23-Sep-97 29-Sep-97 20-Sep-97 10-Nov-97 6 55 X 22
568 17-Oct-97 21-Oct-97 11-Nov-97 02-Dec-97 4 31 14
498 17-Oct-97 21-Oct-97 11-Nov-97 02-Dec-97 4 31 22
497 17-Oct-97 21-Oct-97 11-Nov-97 02-Dec-97 4 31 22
560 17-Oct-97 22-Oct-97 12-Nov-97 03-Dec-97 5 31 14
500 17-Oct-97 22-Oct-97 12-Nov-97 03-Dec-97 5 31 22
664 05-Nov-97 09-Nov-97 30-Nov-97 21-Dec-97 4 12 25
607 05-Nov-97 09-Nov-97 30-Nov-97 21-Dec-97 4 12 23
603 05-Nov-97 09-Nov-97 30-Nov-97 21-Dec-97 4 12 23
661 05-Nov-97 09-Nov-97 30-Nov-97 21-Dec-97 4 12 25
660 05-Nov-97 09-Nov-97 30-Nov-97 21-Dec-97 4 12 25
623 05-Nov-97 09-Nov-97 30-Nov-97 21-Dec-97 4 12 24
620 05-Nov-97 09-Nov-97 30-Nov-97 21-Dec-97 4 12 22
621 05-Nov-97 09-Nov-97 30-Nov-97 21-Dec-97 4 12 24
51 05-Nov-97 09-Nov-97 30-Nov-97 21-Dec-97 4 12 22
61 05-Nov- 10-Nov- 01-Dec- 22-Dec- 5 12 22
520 05-Nov-97 10-Nov-97 01-Dec-97 22-Dec-97 5 12 23
614 05-Nov-97 10-Nov-97 01-Dec-97 22-Dec-97 5 12 22
624 05-Nov-97 10-Nov-97 01-Dec-97 22-Dec-97 5 12 24
514 05-Nov-97 10-Nov-97 01-Dec-97 22-Dec-97 5 12 22
510 05-Nov-97 10-Nov-97 01-Dec-97 22-Dec-97 5 12 22
52 05-Nov- 10-Nov- 01-Dec- 22-Dec- 5 12 23
605 05-Nov-97 10-Nov-97 01-Dec-97 22-Dec-97 5 12 22
522 05-Nov-97 10-Nov-97 01-Dec-97 22-Dec-97 5 12 23
608 05-Nov-97 10-Nov-97 01-Dec-97 22-Dec-97 5 12 23
524 05-Nov-97 10-Nov-97 01-Dec-97 22-Dec-97 5 12 23
657 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 25
652 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 24
669 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 25
655 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 24
654 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 24
662 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 25
663 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 25
666 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 25
667 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 25
622 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 24
619 05-Nov-97 11-Nov-97 02-Dec-97 23-Dec-97 6 12 24
668 05-Nov-97 12-Nov-97 03-Dec-97 24-Dec-97 7 12 24
658 05-Nov-97 12-Nov-97 03-Dec-97 24-Dec-97 7 12 24
523 05-Nov-97 12-Nov-97 03-Dec-97 24-Dec-97 7 12 23