- Original article
- Open Access
Oestrone Sulphate Measurements for the Prediction of Small or Large Litters in Pigs
© The Author(s) 2002
Received: 28 December 2001
Accepted: 02 April 2002
Published: 30 September 2002
Serum from 88 pregnant sows and gilts was sampled 24 and 28 days after their first insemination or mating day. The oestrone sulphate (E1S) concentration in the samples was assessed with a commercially available radioimmunoassay kit modified for use with swine serum. The first aim was to test whether it was possible to predict litters of total number <10 piglets at term. The second aim was to compare the use of day 24 or day 28 samples, or of both, in this prediction.
Day 24 E1S levels were positively correlated with litter size at term (R2 = 0.26; p < 0.001). E1S levels on day 28 were correlated with the levels on day 24 in the same animals but could not be used for prediction of large or small litters. The odds ratio for a small litter size was 0.16 (p < 0.01). This means that odds for a litter size <10 piglets decreased by 84% when E1S levels increased by 1.0 ng/ml.
Målinger av østronsulfat for å forutsi små eller store grisekull.
Serum fra 88 drektige purker og ungpurker ble tatt ut 24 og 28 dager etter første bedekningsdag. Prøvene ble analysert for østronsulfat med et kommersielt tilgjengelig RIA-kit, som var modifisert for bruk på svineserum. Studiens første formål var å teste muligheten for å predikere kullstørrelser på under 10 grisunger totalt, ved fødsel ved fullgått termin. Formål nummer 2 var å sammenligne bruk av prøver fra dag 24 eller dag 28, eller begge, i denne prediksjonen.
Nivåene av E1S på dag 24 var positivt korrelert med kullstørrelsen ved fødsel (R2 = 0.26; p <0.001). E1Snivåene på dag 28 var korrelert med nivåene på dag 24 i samme dyr, men de kunne ikke benyttes til prediksjon av store eller små kull. Odds ratio for et lite kull var 0.16 for E1S (ng/ml serum), (p <0.001). Det vil si at odds for <10 grisunger sank med 84% når E1S-nivåene økte med 1.0 ng/ml.
In the pregnant sow, the embryonic units produce oestrone[9, 15, 20, 21] which is conjugated with sulphate groups within the endometrium . Its conjugates have been demonstrated from day 17 of pregnancy with increasing concentration until day 28-30 and a subsequent decrease later in pregnancy [3, 22, 23]. The concentration of oestrone and its conjugates in the post-breeding female's plasma, serum, urine, faeces and saliva has been assessed in order to diagnose pregnancy [2, 4, 10, 19, 22, 24, 31]. In addition, a correlation between the number of embryos in early pregnancy and the maternal concentration of oestrone conjugates has been demonstrated [1–3, 5, 12, 30].
A large number of herds in Norway practice a 3 or 7 week batch farrowing system. To compensate for sows with delayed oestrus after weaning and non-pregnant sows, a surplus of gilts and sows are mated to yield the planned number of litters at term. Therefore, it would be beneficial to be able to select pregnant animals with the highest presumptive litter size early in gestation, so that sows and gilts with a presumptive low litter size could be culled. In multiplier herds, prediction of a minimum litter size might increase the value of the animals intended for sale. However, to our knowledge, few studies have evaluated the correlation between maternal oestrone sulphate level and litter size at term [8, 30, 31, 18]. Furthermore, the value of analysing a single blood sample for prediction of litter size at farrowing has been debated [1, 10], whereas specifying the interval from oestrus to sampling might improve the results .
Variations in previous lactation length and weaning to service interval may be associated with variation in litter size [6, 13, 14, 17]. Litter size is also highly correlated with parity, and prediction equations for litter size in parity 2 and 3, based on previous litter size, have been derived .
The aims of this study were (1) to assess the possibility of predicting small or large litters at term by means of analysing the oestrone sulphate level in blood samples, and (2) to evaluate whether sampling on day 24 and day 28 after the first day of service may improve prediction of litter size, compared to sampling only on day 24.
Materials and methods
Two trials were performed. In a preliminary trial (trial 1), 5 adult sows were bled at 2 day intervals from day 18 to day 30 post AI.
In a subsequent trial (trial 2), a total of 78 Landrace × Yorkshire sows and 12 gilts from a breeding and pregnancy unit of a sow-pool were included in the study. The animals were bled on days 24 and 28 after mating or AI if return to oestrus was not observed prior to this. Two Landrace × Duroc boars were used for natural mating. Semen used for AI was commercially availablea pooled fresh semen from Landrace × Duroc boars, used on the day of collection or the day after. All the sows and gilts had been heat tested with a boar also if they were inseminated artificially. Insemination was also performed adjacent to a boar. All the sows included had a weaning to service interval of 4 or 5 days. Parity ranged from 1 to 5.
Parity and the number of AI or matings were recorded and included in the statistical analyses. Subsequent litter sizes, as well as returns to oestrus after blood sampling, were recorded. Only sows and gilts that farrowed were included in the statistical analysis of litter size (n = 88).
In both trials, blood was sampled from a prominent ear vein and allowed to clot naturally. The serum was transferred to plastic tubes after centrifugation, and stored at -20°C until analysis.
Oestrone sulphate assay
The serum was analysed for oestrone sulphate (E1S) by a commercial radioimmunoassay kit "Estrone-sulfate DSL-5400"®b modified for use with swine serum. Modification was done as follows: The standard curve was replaced by E1S diluted in pooled serum from castrated male pigs of approximately 30 kg live weight (0-serum). Dilutions of serum samples with varying concentrations of E1S were parallel with the standard curve.
Inter-assay coefficients of variation in samples containing 3.27, 7.86 and 22.8 ng/ml were 10.9%, 8.9% and 3.8%, respectively. Minimum detection limit in the assay was 0.01 ng/ml.
All statistical analysis were performed in SAS . Differences in the number of matings or AI between parities were tested with Fisher's exact test using PROC FREQ. Differences in litter size between animals with different numbers of matings or inseminations were tested with the median test using PROC NPAR1WAY. Correlation between day 24 level and day 28 level of E1S was tested using the CORR procedure. Variation in litter size was analysed with the UNIVARIATE procedure.
Analysis of variance was performed with the GLM procedure. Multivariate models were run with the values of E1S on days 24 and 28, respectively, as response variables. In these models the explanatory variables were the fixed effect of parity and regression on actual litter size (total number born).
Litter size was classified in 3 classes, 'class A' (range 3–9 piglets; n = 8), 'class B' (range 10–14 piglets; n = 48) and 'class C' (range 15–22 piglets; n = 32). These classes were used in a GLM model together with parity in order to obtain least squares mean differences between E1S levels on day 24 and day 28.
Logistic regression by PROC LOGISTIC was used to estimate the probability of a litter size in class A (<10 piglets). E1S level on day 24 and day 28, parity and the number of matings or inseminations were possible explanatory variables in a stepwise selection procedure.
In trial 2, 12 of the animals were mated or inseminated once, 55 were mated or inseminated on 2 consecutive days, while 23 were mated or inseminated on 3 consecutive days. Mating and insemination work started 4 h earlier for each consecutive day, so that the interval between matings or inseminations was approximately 20 to 22 h.
A total of 77 sows and 11 gilts farrowed with a mean total litter size of 13.8 piglets (s.e.m. = 0.3) and 10.3 piglets (s.e.m. = 0.9), respectively. The difference in subsequent litter size between gilts and sows was significant (p < 0.001). Litter sizes ranged between 3 and 21 piglets. Mean previous lactation length was 33.9 days (s.e.m. = 0.2 days).
The mean number of AI or matings was similar for both gilts and sows (1.82 and 2.17, respectively, p > 0.10). Between animal groups with different numbers of AI or matings, the litter sizes were similar (total number born = 13.1, 13.4 and 13.6, for 1, 2 and 3 matings, respectively, p > 0.10). No significant differences were found in E1S level on day 24 or on day 28 between animals with different numbers of matings or AI. For triple inseminated or mated animals there was a tendency toward lower E1S levels on day 24 with a proportionately higher increase until day 28 compared to animals inseminated or mated only once (p = 0.07 and p = 0.08 for day 24 level and percentage increase, respectively).
Mean serum E1S level on day 24 for the 88 pregnant animals was 4.1 ng/ml (s.e.m. = 0.2 ng/ml) while mean level on day 28 was 8.8 ng/ml (s.e.m. = 0.3 ng/ml). The E1S levels on day 24 and day 28 within animal were correlated (r = 0.35, p < 0.001).
When litter size was ranged in classes A-C and adjusted for parity, there was a significant relation with day 24 E1S concentration (p < 0.01), whereas parity was less strongly related (p < 0.10, the R2 of the model being 0.25). Least squares mean differences between day 24 E1S concentrations in the 3 litter size classes are shown in Table 1. Repeating the model with day 28 E1S concentrations resulted in non-significant parity differences (p > 0.10), while litter size classes were significant (p < 0.05). However, the only significant difference in this model was between class A and class B.
Least squares mean differences in serum levels of oestrone sulphate between litter size classes A, B and C in sows and gilts 24 days after first AI or mating. (Litter size class A included 3–9 piglets; class B included 10–14 piglets and class C included 15–22 piglets; all numbers representing total number of piglets born.) The model included the fixed effect of parity 1–5 (p < 0.10).
Differences between least squares means in ng E1S/ml serum (p values)
A vs. B
1.81 (p < 0.01)
A vs. C
2.21 (p < 0.01)
B vs. C
0.4 (p > 0.10)
The present study demonstrates that it is possible to differentiate between small litters (<10 piglets) and large litters (10 or more piglets) on the basis of serum E1S levels on day 24 after the first mating. The study failed, however, to show improved results in the prediction of litter size by including serum concentrations on day 28 in addition to day 24 samples, or by using only day 28 samples. As the hormone is only produced by functional feto-placental units, it was expected that it would be more accurate to assess its serum concentration as late as possible in order to reflect embryo mortality. Embryo losses on day 24, but not on day 30, are reflected in decreased subsequent E1S levels [8, 12] showed correlation between litter size at birth and E1S level on day 28 but not on day 24 within the same animals. However, it has been shown that day 24 levels of E1S have given acceptable correlation with litter size [11, 12, 30].
The correlation between day 28 and day 24 samples in this study was 0.35, explaining in part why E1S levels on day 28 gave little extra explanation of the variation in litter size. In the preliminary trial some of the animals had decreasing E1S concentration before day 28 while others still had increasing concentrations. This indicated that the peak of the E1S curve may occur before day 28 after first mating or insemination in some cases. Such differences may be due to variations in oestrus duration and interval from the onset of oestrus to ovulation. Another explanation may be embryo mortality in the period between 24 and 28 days. These factors may also partially explain the relatively low correlation between values on day 24 and day 28 in the sow-pool.
At low E1S levels there tended to be a difference in the estimated probabilities of small litters, dependent on how many consecutive days the sow or gilts had been inseminated or mated. A variation in the number of services might be due to variable duration of oestrus, or to variations in oestrous symptoms. Long oestrous periods are correlated to longer intervals from the onset of oestrus to ovulation [26–28]. This might in its turn mean that some of the triple mated animals had been sampled 2 days later in relation to fertilisation than single mated animals. The correlation between the number of embryos and E1S level may subsequently have varied, due to the developmental stage of the embryos rather than the number of embryos . A practical consequence might be to sample animals on a specified number of days from the last insemination instead of from the first.
A relatively small proportion of the litters in the present study was smaller than 10 piglets. Our intention was to evaluate the method in a population of sows and gilts in a field situation, without efforts to alter the variation of litter sizes by surgical or other methods. In some other studies, such efforts have been made, or non-pregnant and/or pseudopregnant animals have been included in the analysis [11, 12, 29, 30]. In a field situation, an extra benefit of the proposed method would be the ability to detect non-pregnant animals. This detection is vital in breeding herd management.
The results of the study show that differentiation of small from large litters is possible by analysis of oestrone sulphate levels in the serum of gilts and sows on day 24 post service. Repeated sampling on day 28 does not improve the prediction of litter size. To improve the predictive value for estimation of litter size based on E1S levels, oestrus duration should be taken into consideration. Alternatively, animals with long oestrus duration should be sampled later in relation to the onset of oestrus.
aNorsvin, Hamar, Norway.
bDiagnostic Systems Laboratories, Inc, Webster, Texas
The authors wish to express their gratitude to the owners and employees for valuable help during collection of blood and data, as well as to the satellite owners for providing litter size data promptly.
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