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ANIMAL PRODUCTION |

* Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, PO Box 7023, SE-750 07 Uppsala, Sweden; and and
Department of Clinical Sciences, Division of Reproduction, Swedish University of Agricultural Sciences, PO Box 7054, SE-750 07 Uppsala, Sweden
| Abstract |
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Key Words: longevity mortality removal reason removal risk sow survival analysis
| INTRODUCTION |
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Longevity of a sow is determined by many factors. Not only the sows biology, but also season, management, and housing are important. In addition, it is the herdsmans subjective decision that determines whether a sow will be removed. In this decision, the herdsman considers the sows parity number, production, reproductive status, health status, and herd structure, as well as access to replacement gilts of relevant reproductive status. To improve our understanding of sow removal, it is necessary to identify the relevant causal factors and quantify their impact.
Previous studies have shown that an older age at first farrowing is unfavorable for sow longevity (Koketsu et al., 1999
; Yazdi et al., 2000b
), as well as small litters (Brandt et al., 1999
; Yazdi et al., 2000a
; Guo et al., 2001
). Season also has been reported to influence removal of sows, with greater mortality rates during summer (DAllaire et al., 1996
; Deen et al., 2000
; Koketsu, 2000
).
The aim of this study was to identify and assess factors influencing removal of crossbred Swedish commercial sows. Factors affecting overall removal, as well as their impact on removal attributable to reproductive disorders, udder problems, lameness, and mortality, were investigated by using survival analysis.
| MATERIALS AND METHODS |
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Herds
The study used data from 21 commercial piglet-producing herds in the south-central part of Sweden. Herds were selected on the basis of their ability to make reliable registrations. All herds used the PC-based herd-monitoring program PigWin Sugg (Quality Genetics HB, Hörby, Sweden). Mean and median herd sizes were 475 and 318 sows, respectively, with a range from 122 to 2,126 sows. Four of the herds were "sow pools" (leasing systems in which a central herd unit supplies satellite herds with pregnant sows, which are returned to the central unit after the lactation period at weaning).
Batchwise production, a fixed circulatory system, was practiced in all herds. All herds practiced cross-fostering, and the average lactation period was 4 to 5 wk (Swedish animal welfare legislation requires at least 4 wk of lactation). After weaning, estrus was checked twice (18 herds) or once (3 herds) daily. Artificial insemination was used extensively in all herds. Boars were used for repeated breeding of sows that returned to heat in 6 herds. Pregnancy was monitored with different types of ultrasound equipment in all but one of the herds. In 4 herds, sows were culled if they returned to estrus after the first mating. Two returns resulted in culling in 13 herds, whereas the remaining 4 herds permitted 3 or more returns to estrus.
During the dry period, sows were kept in groups. Sows were in 14 herds kept in the breeding and gestation units in groups (30 to 50 sows/pen) on deep litter bedding (mostly straw), mainly in uninsulated buildings. Five herds kept sows on deep litter bedding in the mating unit (groups of 30 to 50), but during at least part of gestation, these sows were kept in smaller groups (5 to 9 sows/pen) on a concrete-partially slatted floor with access to straw. In 2 herds, sows were kept in pens (5 to 9 sows/pen) with a concrete-partially slatted floor during both mating and gestation. All herds had farrowing units in which sows were housed in individual pens. A more detailed description of the herds, covering the housing system and management, was presented previously (Engblom et al., 2007
).
Data
Data collection started in January 2002 and continued for 3 yr. After an initial visit, the 21 herds were revisited approximately 3, 6, 12, 20, and 30 mo later. At each visit, data were collected electronically from the herd-monitoring program PigWin Sugg and additional information was recorded on paper. Data were checked for obvious errors and, if possible, they were corrected. Data included sows farrowing from January 2001 to December 2004 and incorporated information on removals during that period. Only crossbred Landrace x Yorkshire sows with at least one farrowing during the period were included in the analyses. Sows whose first litter was recorded to be born before 290 d of age or later than 480 d of age were excluded from the analyses to avoid sows with erroneously reported dates of birth or farrowing. Sows that produced their first litter in another herd were excluded from the analyses, as were sows sold to another herd (these restrictions affected only a few herds). The final data set consisted of 20,310 sows.
Productive life (PL) was defined as the number of days between first farrowing and removal or termination of data collection. Data were left-truncated at January 1, 2001. Left-truncation allowed inclusion of all sows present in the herds, irrespective of parity number. Records were treated as censored if the sow was still alive at the end of the study period on December 31, 2004. This resulted in 22.6% truncated and 33.8% censored records. In addition to PL, another 4 longevity traits were defined: reproductive disorder-determined length of PL (RPL), udder problem-determined length of PL (UPL), lameness-determined length of PL (LPL), and mortality-determined length of PL (MPL). Table 1
lists reasons for removal included in these 4 longevity traits. In the competing risk analyses, in addition to the censoring rules for PL, records were treated as censored when the removal code did not correspond with the specific cause of removal being analyzed. For example, in the analysis of the risk for being removed attributable to reproductive disorders, sows either removed for other reasons or still alive on December 31, 2004, were treated as censored. The proportion of censored records was 84% for RPL, 87% for UPL, 93% for LPL, and 97% for MPL.
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Hazard for removal during PL was analyzed by using Survival Kit version 3.12 (Ducrocq and Sölkner, 1998
). The Weibull model used was
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where h0 (t) is the baseline hazard function 
(
t)
–1, assumed to follow a Weibull distribution with scale parameter
and shape parameter
; t is time in days from first farrowing; and β contains the covariates (possibly time-dependent) affecting the hazard with the corresponding design vector x' (t). Where
< 1, the hazard decreased with time, and where
> 1, the hazard increased with time. To test whether a Weibull distribution properly fitted the data, the log of minus the log of the Kaplan-Meier estimate (nonparametric) of the survivor curves was plotted against the log of time. If the assumption for Weibull holds, a straight line should be obtained. All 5 traits analyzed (PL, RPL, UPL, LPL, and MPL) displayed approximately straight lines when tested graphically (Figure 1
).
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The covariates in these statistical models were as follows:
7, 8 to 9, 10 to 11, 12 to 13, 14 to 15, 16 to 17,
18), changed at each farrowing date;
119 d, 120 to 122 d, 123 to 136 d, 137 to 157 d,
158 d; parity 1 sows were included in class 120 to 122 d), changed at each farrowing date;
10, 11, 12, 13,
14 mo);
Using models 1 and 2 to analyze PL, we estimated the shape parameter
at 1.6, whereas using model 3, we estimated
at 1.4. Using model 1 in the competing risk analyses, we estimated the shape parameter
at 2.5 for RPL, 2.2 for UPL, 1.2 for LPL, and 0.9 for MPL.
The solution for a fixed factor is expressed as a hazard ratio. Hazard ratio is defined as the ratio between the estimated hazard for being removed under the influence of certain environmental or genetic factors and the estimated hazard for a single reference class. Thus, the hazard ratio is a ratio describing the relative risk of removal. The reference classes selected were as follows: 12 mo of age at first farrowing; farrowing month July; first parity; 30 d after farrowing; 120- to 122-d interval between weaning and next farrowing; and 12 to 13 piglets in litter size. The order of the factors influence on the removal risk for the 5 traits was measured by their contribution to the likelihood function (R2 of Maddala) of the full model. Results on herd x year combinations are not shown because this factor was included in the analyses only to take its variation into account and not to evaluate the individual herds.
| RESULTS AND DISCUSSION |
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Overall Risk Analysis for Sow Removal (PL)
The 6 time-dependent factors (days after farrowing, parity, herd x year combination, total number of piglets born, days between weaning and next farrowing, and farrowing month) included in model 1 were highly significant (P < 0.001), and the time-independent factor age at first farrowing was significant (P = 0.005). The effect of the most important factor in the overall risk analysis, days after farrowing, is shown in Figure 2a
. The hazard for removal was greater (P < 0.001) 30 to 40 d after farrowing than it was in other periods of the reproductive cycle. The pattern of overall removal during the reproductive cycle showed that herdsmen perform most of the removals within a short period after weaning (planned culling), presumably to keep the number of nonproductive days as low as possible. Other studies also have shown that most animals are removed shortly after weaning (Brandt et al., 1999
) and that the risk for removal is greatest after weaning (Tarrés et al., 2006
).
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The third most important factor in the overall analysis, the herd x year combination, showed that different management and housing systems have a large impact on sow removal. Data in the current study were not investigated further because the small number of herds (21) did not permit detailed analysis of factors at the herd level (data not shown).
The fourth most important factor for overall removal risk was the total number of piglets born. Sows with a litter size of 9 piglets or fewer had a 24 to 60% greater (P < 0.001) hazard for removal than those with litters of 12 to 13 piglets (Figure 2c
). The increased removal hazard for sows with a small litter found in the current study agrees with similar previous studies (Brandt et al., 1999
; Yazdi et al., 2000a
; Guo et al., 2001
). In the current study, large litters did not give an increased hazard for removal. The reason for this may be that cross-fostering was practiced in the herds (sows giving birth to large litters were less challenged because some piglets were moved to, and nursed by, other sows).
The fifth most important factor in the overall analysis was days between weaning and next farrowing. Intervals of 120 to 122 d between weaning and next farrowing resulted in a lower (P < 0.001) hazard for removal than shorter or longer intervals (Figure 2d
). Sows with a 120- to 122-d interval showed estrus, were inseminated within 5 to 7 d after weaning, and became pregnant at this first mating. Intervals longer than 137 d, indicating at least one return to estrus, resulted in at least a 50% greater (P < 0.001) hazard for removal than that found for 120- to 122-d intervals. This high level of risk for removal is probably the effect of the batchwise production system practiced in all the herds investigated. In batchwise production, sows returning to estrus are difficult to fit into another batch, especially in herds with long intervals between batches. In a previous study of this material, return to estrus accounted for almost 20% of overall removal (Engblom et al., 2007
).
In the current study, the sixth most important factor for overall removal risk was farrowing month. Compared with July (reference month), the hazard for removal was greater (P < 0.05) in January and September, but it was less in March and December (Figure 2e
). The low hazard for sow removal in December was probably because the slaughter plants prioritize fattening pigs over sows during that month. Instead, these sows were slaughtered the month after, which explains the greater hazard in January. For the rest of the year, variations in hazard for removal between months are not clear. This low fluctuation could be due to several factors. For example, a limited number of replacement gilts available might result in a reduced possibility for planned removal during periods of high unplanned removal. This speculation is supported by a previous study, which indicated that the risk for removal attributable to lameness was reduced during periods when removal attributable to reproductive disorders was high (Anil et al., 2005
). Furthermore, Guo et al. (2001)
did not find any special pattern across season for overall removal risk.
The factor with the lowest impact in the overall analysis among those tested in the current study was age at first farrowing. Sows of 14 mo or older at their first farrowing had a 16% greater (P < 0.001) hazard for removal than sows that were 12 mo at their first farrowing (Figure 2f
). This finding agrees with other studies (Koketsu et al., 1999
; Yazdi et al., 2000b
).
Model 2 was applied to investigate whether the effect of litter size was similar in different parities. This model included the combined effect of parity and total number of piglets born, with the main factors parity and total number of piglets born excluded. The effect of days after farrowing, the combination of parity and total number of piglets born, the herd x year combination, days between weaning and next farrowing, and farrowing month were highly significant (P < 0.001), and age at first farrowing was significant (P = 0.007). The hazard for removal was, in all parities above 1, greater for small litters (
9) than it was in the reference class (12 to 13 piglets). The greater hazard for small litters was accentuated in greater parities (Figure 3
). This indicates that herdsmen were less tolerant of the small litters of older sows. Moreover, descriptive statistics relating to the present material showed that most of the planned removal (removal attributable to low production) occurred in greater parities (Engblom et al., 2007
). This also agrees with other studies (Boyle et al., 1998
; Lucia et al., 2000
). Also in parity 1, the hazard was greater for sows with small litters (
7) than it was for the reference class (12 to 13 piglets). However, the greatest hazard for primiparous sows was found for litter sizes with at least 18 piglets. Sows with 18 to 24 piglets in their first litter had a 42% greater (P = 0.04) removal hazard than the reference class, but because there were only 35 informative failures in this class, the results can only be interpreted as an indication that an excessively large litter in young sows might have a negative impact on the survival of the sow.
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The sixth most important factor in the analysis of RPL was the total number of piglets born. Sows with litters of 7 piglets or less had a 21% greater (P < 0.001) hazard for removal than those with litters of 12 to 13 piglets (Figure 5c
). The factor with the least importance among the ones tested in the analysis of RPL was days between weaning and next farrowing. An interval longer than 137 d between weaning and next farrowing resulted in a greater (P < 0.001) hazard for removal than was found for the 120- to 122-d interval (Figure 5d
). These intervals, corresponding to at least one return to estrus, gave a 60 to 100% greater hazard for removal attributable to reproductive disorders than did the optimal 120- to 122-d interval. The increase in hazard of removal for RPL was expected for these long intervals and shows that removal reasons coding in the herds were correct.
UPL
Removal attributable to udder problems accounted for 18% of all removals, and mean UPL length in Swedish crossbred sows was 517 d. The effects of days after farrowing, the herd year combination, parity, and farrowing month were highly significant (P < 0.001), days between weaning and next farrowing were significant (P = 0.004), and the total number of piglets born was also significant (P = 0.02). The effect of the most important factor in the analysis of UPL, days after farrowing, is shown in Figure 5a
. The hazard for removal was greater (P < 0.001) 30 to 40 d after farrowing than it was in the other intervals. The reason for the UPL peak may be that chronic granulomatous mastitis often is diagnosed at the time of weaning (Persson, 1997
). The second most important factor for UPL was the herd x year combination. This shows that different housing systems and management influenced the UPL.
The third most important factor in the analysis of UPL was parity. The hazard for removal was greater (P < 0.001) in first parity than it was in greater parities (Figure 5b
). The pattern found in this study is contradictory to descriptive statistics on parts of this material (Engblom et al., 2007
), which showed that most removal attributable to udder problems occurred in the medium parity numbers. In addition, Hultén et al. (2003)
showed that a high parity number is a risk factor for mastitis, and that the proportion of sows with granulomatous mastitis increases with increasing parity number. Therefore, results from the current study regarding the influence of parity on removal because of udder problems should perhaps be interpreted with caution. In the current study, farrowing month was the fourth most important factor. Compared with July, the hazard for removal was lower (P < 0.01) in December (Figure 5e
). Just as for PL, this may be because the slaughter plants during that month prioritize fattening pigs over sows. The fifth most important factor was days between weaning and next farrowing. The hazard for removal was greater (P < 0.001) in intervals between weaning and next farrowing of
119 d and from 123 to 136 d than it was in the 120- to 122-d interval (Figure 5d
). Finally, the sixth most important factor among the ones tested in the analysis of UPL was the total number of piglets born. Sows with litters of 9 piglets or less had more than a 20% greater (P < 0.01) hazard for removal compared with those with litters of 12 to 13 piglets (Figure 5c
).
LPL
Removal attributable to lameness accounted for 9% of all removals, and mean LPL length in Swedish cross-bred sows was 401 d. The effects of days after farrowing, parity, and the herd x year combination were highly significant (P < 0.001), and days between weaning and next farrowing was significant (P = 0.007). The effect of the most important factor in the analysis of LPL, days after farrowing, is shown in Figure 5a
. The hazard for removal was greater (P < 0.001) 30 to 40 d after farrowing than it was in the other intervals. The greater hazard during this period may be an effect of herdsmen keeping sows with tolerable lameness until the litter is weaned. Furthermore, in the current study, sows were grouped after weaning, and lameness was probably more apparent to the herdsmen when the sows were in groups (in larger pens) than in individual farrowing pens. The second most important factor was the herd x year combination. The explanation for this may be different housing systems. The third most important factor was parity. The hazard for removal was greater (P < 0.01) in first parity than it was in greater parities (Figure 5b
). The reason for this is probably that herdsmen remove young sows with bad legs and for the subsequent parities there are only sows with good legs remaining. Finally, the fourth most important factor in the analysis of LPL was days between weaning and next farrowing. The hazard for removal was greater (P < 0.001) in intervals between weaning and next farrowing of 137 to 157 d than it was in the 120- to 122-d interval (Figure 5d
).
MPL
Removal attributable to sow mortality accounted for 4% of all removals, and mean MPL length in Swedish crossbred sows was 458 d. The effects of days after farrowing, parity, the herd x year combination, and farrowing month were highly significant (P < 0.001), and the total number of piglets born was significant (P = 0.003). The most important factor in the analysis of MPL was the herd x year combination. This indicates that variation in housing and management routines may influence the level of sow mortality. The second most important factor was days after farrowing. The hazard for removal was 45% greater (P = 0.01) at 0 to 10 d, and lower (P < 0.01) at 10 to 30 and at 40 to 150 d, after farrowing than it was at 30 to 40 d after farrowing (Figure 5a
). The hazard for removal was greatest just after farrowing. This agrees with previous studies (Madec, 1984
; Deen et al., 2000
) and indicates that the farrowing process places physical strain on the sow.
The third most important factor in the analysis of MPL was parity. The hazard increased with greater parities and was greater (P < 0.001) in parities from 8 than it was in parity 1 (Figure 5b
). There were only 27 informative failures in this class, but this trend was supported by another study that found the greatest hazard for sow mortality in greater parity numbers (Koketsu, 2000
). The fourth most important factor was farrowing month. Compared with July, the hazard for removal was lower (P < 0.05) in January to April, June, September, October, and December (Figure 5e
). The greater hazard for mortality during the summer months of July and August was probably due to the greater ambient temperature. This is in agreement with several other studies that have shown an increased risk for sow mortality during the summer months (DAllaire et al., 1996
; Deen et al., 2000
; Koketsu, 2000
). Finally, the fifth most important factor in the analysis of MPL was the total number of piglets born. Sows with litters of 7 piglets or less had an 82% greater (P < 0.001) hazard for removal than those with litters of 12 to 13 piglets (Figure 5c
). The greater hazard for mortality among sows with small litters found in the current study might be caused by dystocia or, alternatively, might indicate inferior body condition in the sow at farrowing. However, it should be kept in mind that the proportions of censored records in the competing risk analyses were high, especially in the analyses of MPL (97%), and some of the estimates should be interpreted with caution.
Main Findings
Days after farrowing was the main risk factor for sow removal among the factors tested, followed by parity and the herd x year combination. Overall, the hazard for removal was greatest shortly after weaning, and the same pattern was found for removal attributable to lameness and udder problems. However, the hazard for sow mortality was greatest around farrowing, and for removal attributable to reproductive disorders, the hazard was greatest at 70 to 100 d after farrowing. Hazard for removal was low in the medium parity numbers. Overall, the influence of farrowing month was not clear, but for sow mortality the hazard was greater during July and August. Furthermore, old age at first farrowing, small litters, and long intervals between weaning and next farrowing resulted in high removal hazard.
| Footnotes |
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2 Corresponding author: Linda.Engblom{at}hgen.slu.se
Received for publication May 30, 2007. Accepted for publication November 6, 2007.
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