Estimation of Genetic Parameters for Reproductive Traits between First and Later Parities in Pig

Oh, Seok-Jin; Lee, D. H.; See, M. T.

doi:10.5713/ajas.2006.7

Cited by 31 publications

(36 citation statements)

References 15 publications

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“…These results indicate that the sow's performance is unlikely to be repeated during the production period. This may be because physiological development of reproductive organs differs with parity (Oh et al, 2006). Thus, milk production in gilts may be 20% lower than in multiparous sows, as a consequence of lower feed intake and additional requirements of energy for tissue growth (Walker & Young, 1993).…”

Section: Resultsmentioning

confidence: 97%

Estimation of genetic and phenotypic parameters for sow productivity traits in South African Large White pigs

Dube¹,

Mulugeta²,

Dzama³

2012

SA J. An. Sci.

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________________________________________________________________________________ AbstractThe objective of the study was to estimate genetic and phenotypic parameters for sow productivity traits of South African Large White pigs, using data from the Integrated Registration and Genetic Information Systems. The analyses were done on 29 719 records for 7 983 sows from 29 herds, which farrowed between 1990 and 2008. Data were analysed as a sow trait using a repeatability animal model. The traits analysed were number of piglets born alive (NBA), litter birth weight (LBWT), 21-day litter size (D21LS) and 21-day litter weight (D21LWT). Estimates of heritability for these traits were 0.07 ± 0.01, 0.11 ± 0.01, 0.03 ± 0.01 and 0.06 ± 0.01, respectively. The respective repeatability estimates for the traits were 0.15 ± 0.01, 0.16 ± 0.01, 0.11 ± 0.01 and 0.12 ± 0.01. Genetic correlations among the traits ranged from 0.32 ± 0.07 between NBA and D21LWT to 0.88 ± 0.04 between NBA and D21LS. The phenotypic correlations ranged from 0.35 ± 0.01 between NBA and D21LWT to 0.75 ± 0.01 between NBA and LBWT. Litter traits at birth were more heritable and repeatable than traits measured at 21 days of age. In general, all traits showed positive genetic and phenotypic trends for the period studied. The heritability of sow productivity traits was low and less repeatable, which suggests that response to selection may be slow and that the performance in the first parity may not always predict future performance. However, because of their economic importance, an attempt should always be made to keep these traits at their optimum.

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Section: Resultsmentioning

confidence: 97%

Estimation of genetic and phenotypic parameters for sow productivity traits in South African Large White pigs

Dube¹,

Mulugeta²,

Dzama³

2012

SA J. An. Sci.

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“…Previous studies reported similar heritabilities of LSW and SVW (Damgaard et al, ; Lund et al, ; Putz et al, ; Roehe & Kennedy, ; Serenius at al., ; Su et al, ; Thekkoot, Kemp, Rothschild, Plastow, & Dekkers, ; Tomiyama, Kubo, Takagi, & Suzuki, ; Wolf et al, ; Zhang et al, ). Oh, Lee, and See () also estimated the heritability of LWW to be higher than that of LSW. Similarly, previous studies estimated the heritabilities of LWB and MWB to be higher than that of NBA (Damgaard et al, ; Hermesch, Luxford, & Graser, ; Ogawa et al, ).…”

Section: Resultsmentioning

confidence: 99%

Genetic relationship of litter traits between farrowing and weaning in Landrace and Large White pigs

Ogawa

Konta

Kimata³

et al. 2019

Animal Science Journal

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We estimated genetic parameters in Landrace and Large White pig populations for litter traits at farrowing (total number born, number born alive, number stillborn, total litter weight at birth (LWB), and mean litter weight at birth) and those at weaning (litter size at weaning (LSW), total litter weight at weaning (LWW), mean litter weight at weaning (MWW), and survival rate from farrowing to weaning). We analyzed 65,579 records at farrowing and 6,306 at weaning for Landrace, and 52,557 and 5,360, respectively, for Large White. Single‐trait and two‐trait repeatability animal models were exploited to estimate heritability and genetic correlation respectively. Heritability estimates of LSW were 0.09 for Landrace and 0.08 for Large White. Genetic correlations of LSW with MWW were –0.43 for Landrace and –0.24 for Large White. Genetic correlations of LSW with LWW and LWB ranged from 0.5 to 0.6. The genetic correlation of MWW with LWW was positive, but that with LWB was negligible. The results indicate that utilizing LWW or LWB could improve LSW efficiently, despite the antagonistic genetic correlation between LSW and MWW.

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“…In the population studied, it was more appropriate to use genetic parameters obtained by the multitrait model. Likewise, when estimating genetic parameters for reproductive traits among primiparous and multiparous WEI, Oh et al (2006) have reported that the genetic correlation estimates were not high enough to consider WEI observations of primiparous and multiparous to be a single trait.…”

Section: Resultsmentioning

confidence: 99%

“…The previous reproductive cycle may affect subsequent farrowing due to the effect of selection and permanent environment (Oh et al, 2006).…”

Section: Resultsmentioning

confidence: 99%

Environmental and genetic factors affecting the weaning-estrus interval in sows

Leite

Lui²,

Albuquerque³

et al. 2011

Genet. Mol. Res.

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ABSTRACT. We examined the effects of environmental and genetic factors on the weaning-to-estrus interval (WEI) in sows. In order to perform the analyses of the environmental factors, 8104 observations of the 1st to the 6th WEI were carried out, while 6548 observations of the 1st to the 3rd WEI were carried out for the analyses of genetic factors. The environmental model included as fixed effects, herd, genetic line, year and season of birth, as well as the covariates, age of sow at farrowing, litter size at birth and lactation length. Genetic analysis was performed by repeatability and multitrait models. The mean and coefficient of variation for WEI were 7.02 days and 100.6%, respectively. The linear effect of lactation length and the quadratic effect of the age of sow at farrowing affected the WEI. Herd, year and season of farrowing were significant sources of variation for WEI, and there was no influence of genetic line or of litter size at birth. Heritability estimated by the repeatability model was 0.04, while heritabilities obtained by the multitrait model were Factors affecting the weaning-estrus interval in sows 0.07, 0.02 and 0.07 for the first three WEI, respectively. Estimates of genetic correlations among the different WEI were of moderate to low magnitude. It was concluded that environmental factors, such as year and season of farrowing, lactation length, age of sow at farrowing and herd, should be considered in the model for best estimation of genetic parameters for this trait. Although with only a small possible genetic gain, selection can be made based on the first WEI.

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Estimation of Genetic Parameters for Reproductive Traits between First and Later Parities in Pig

Cited by 31 publications

References 15 publications

Estimation of genetic and phenotypic parameters for sow productivity traits in South African Large White pigs

Estimation of genetic and phenotypic parameters for sow productivity traits in South African Large White pigs

Genetic relationship of litter traits between farrowing and weaning in Landrace and Large White pigs

Environmental and genetic factors affecting the weaning-estrus interval in sows

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