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Measuring changes in physical size and predicting weight of sows during gestation

Published online by Cambridge University Press:  01 October 2007

M. K. O’Connell*
Affiliation:
Teagasc Pig Production Development Unit, Moorepark Research Centre, Fermoy Co. Cork, Ireland
P. B. Lynch
Affiliation:
Teagasc Pig Production Development Unit, Moorepark Research Centre, Fermoy Co. Cork, Ireland
S. Bertholot
Affiliation:
ENITA de Bordeaux, 1 Cours du Général de Gaulle, C540201, 33175 Gradignan Cedex, France
F. Verlait
Affiliation:
ENITA de Bordeaux, 1 Cours du Général de Gaulle, C540201, 33175 Gradignan Cedex, France
P. G. Lawlor
Affiliation:
Teagasc Pig Production Development Unit, Moorepark Research Centre, Fermoy Co. Cork, Ireland

Abstract

Changes in physical body size during gestation were monitored using 529 sets of sow measurements. All sows were from the same herd and production system with a range in parity from 1 to 8. Sows were individually weighed, P2 backfat thickness was determined by ultrasound and morphometric measurements of body size were taken five times during gestation: day 0 (at service), day 25, day 50, day 80 and day 110. The morphometric measurements included sow height (from floor to last rib at the midline, from floor to ventral surface and from floor to hip), heart girth, depth of last rib, length (from snout to tail and from anterior scapula to tail) and width (at ham, at last rib and at shoulder). Regression analyses were used to model the relationship between day of gestation or parity number and morphometric measurements of body size. Regression equations were also developed to estimate sow weight from physical measurements, day of gestation and parity. As expected, sow dimensions, in general, increased as pregnancy progressed and also with increasing parity number. The relationships between day of gestation and body dimensions were described by linear and quadratic regression models, which had a range of adjusted R2 values up to 0.99. Similar relationships to parity number had a range of R2 values between 0.51 and 0.96. Sow depth, which can be used as an estimate of the width of the sow when lying, equalled the maximum width of the gestation stall (650 mm) at day 103 of gestation. However, by day 40 of gestation, predicted mean sow depth (570 mm) equalled the width at the rear of the crate. The implication of this is that after day 40 of gestation, the average sow was too wide for the rear of the crate when lying in a recumbent position. On day 110 of gestation, 95% of the mean sow body depths would be accommodated in stalls that were 674 mm wide; however, the range in body sizes with increasing parity number suggests the use of more than one stall width would be appropriate. Sow weight could be estimated with an adjusted R2 value of 0.81 and with a residual standard deviation (r.s.d.) of 16.5 kg using heart girth alone, or more accurately using a model with parity, day of gestation, P2 backfat depth and heart girth as the parameters (R2 = 0.89, r.s.d. 12.4 kg).

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Type
Full Paper
Copyright
Copyright © The Animal Consortium 2007
Figure 0

Table 1 Number of sets of measurements taken in each parity and on each day of gestation

Figure 1

Figure 1 Schematic diagram of gestation crate (not drawn to scale): (a) overhead view; (b) side view. 1The rear of the stall consists of a hinged basket-type section, hinged on the inside of the main frame.

Figure 2

Table 2 Morphometric measures of gestating sows

Figure 3

Table 3 Adjusted least-square means values of morphometric measurements on each day of gestation

Figure 4

Table 4 Adjusted least squares means values of morphometric measurements in each parity

Figure 5

Table 5 Linear (y = a + bx) and quadratic (y = a + bx + cx2) regression model coefficients (with standard error of estimates), significance, adjusted R2 and residual standard deviations for change in morphometric measurements over gestation (x = day of gestation)

Figure 6

Table 6 Linear (y = a + bx) and quadratic (y = a + bx + cx2) regression model coefficients (with standard error of estimates), significance, adjusted R2 and residual standard deviations for change in morphometric measurements with increasing parity (x = parity number)

Figure 7

Table 7 Regression models predict sow body weight (kg) from parity number, day of gestation, P2 backfat depth and morphometric measurements

Figure 8

Figure 2 Scatter plot showing relationship between heart girth size and sow body weight. Y = −254 (10.9) + 0.35 (0.008) × X, R2 = 0.81, residual standard deviation = 16.5 kg, P < 0.001.The points represent the observations (n = 529) and the line represents the regression model.

Figure 9

Table 8 Multiple regression models to predict sow body weight (kg) from parity number, day of gestation, P2 backfat depth and morphometric measurements