Factors affecting longevity in maternal Duroc swine lines

Pujol, Joan; Tibau, J.; Piedrafita, J.; Fàbrega, E.; Reixach, Josep Peñuelas i

doi:10.1016/j.livprodsci.2005.08.007

Cited by 54 publications

(51 citation statements)

References 18 publications

(21 reference statements)

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“…With the exception of extreme cases, farmers only cull sows because of LP after the third farrowing, which was in line with other research findings (Yazdi et al, 2000a) that described an increase in the effect of litter size on sow survival with the parturition number. This evolution over time for the effect of different factors influencing sow survival has also been reported by Dijkhuizen et al (1989) and Tarré s et al (2006b). Reproductive problems and pathologies related to farrowing (data not shown) were the main cause of failures in the DE data set, corroborating the cyclic pattern shown by the survival curve at 130-to 160-day intervals.…”

Section: Kaplan-meier Survival Function and Censoring Percentagesupporting

confidence: 83%

“…This peculiarity led to high censoring percentages when competing risk analyses were performed. More specifically, censoring percentage ranged between 81.09% (LP) and 93.19% (DE), these values being clearly higher than the censoring percentages reported in other studies that focused on sow longevity (Tarré s et al, 2006a and2006b) although similar (Casellas et al, 2004(Casellas et al, and 2007 or smaller (Tarré s et al, 2005) than the ones obtained in young pigs or other species. Note that the analytical power of survival analysis substantially depends on censoring percentage (Vukasinovic et al, 1999;Yazdi et al, 2002).…”

Section: Kaplan-meier Survival Function and Censoring Percentagecontrasting

confidence: 62%

“…These models treat survival traits as continuous variables and are the preferred statistical method for analyzing failure time data, as they allow the inclusion of both censored and uncensored records (Allison, 1995). This methodology has already been used to investigate sow survival with promising results (Yazdi et al, 2000b;Tarré s et al, 2006b), although survivability has often been defined in quite a broad sense. It should also be added that relatively little is known about peculiarities of specific causes of sow failure.…”

Section: Introductionmentioning

confidence: 99%

“…These results suggest a positive association between backfat thickness and sow survival (Tholen et al, 1996;Lopez-Serrano et al, 2000;Tarré s et al, 2006b), although excessive backfat thickness could impair reproductive performance in Duroc sows (Hetzer and Miller, 1973) and therefore increase the culling rate due to LP. In order to optimize sow longevity, backfat thickness in Duroc sows must therefore be monitored at the end of the growing period, avoiding values not only of less than 16 mm, as previously suggested by Tarrés et al (2006b), but also those greater than 19 mm.…”

mentioning

confidence: 97%

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Competing risk analyses of longevity in Duroc sows with a special emphasis on leg conformation

Sevilla

Fàbrega

Tibau

et al. 2009

Animal

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A competing risk approach was used to evaluate the influence of several factors on culling risk for 587 Duroc sows. Three different analyses were performed according to whether sow failure was due to death during productive life (DE) or to one of two causes for voluntary culling: low productivity (LP) and low fertility (LF). Sow survival was analyzed by the Cox model. Year at first farrowing (batch effect) significantly affected sow survival in all three analyses ( P , 0.05 for DE and P , 0.001 for LP and LF) whereas farm of origin accounted for relevant variation in the LP and LF analyses. LP culling increased with backfat thickness of more than 19 mm at the end of the growth period ( P , 0.05), bad teat condition ( P , 0.05) and reduced piglets born alive ( P , 0.001). For the LF competing risk analysis, culling increased with age at first farrowing ( P , 0.1). Special emphasis was placed on the influence of leg and teat conformation on sow survivability, although they did not affect sow failure due to DE ( P . 0.1). The overall leg-conformation score significantly influenced sow longevity in LP ( P , 0.001) and LF competing risk analyses ( P , 0.001), showing a higher hazard ratio (HR) for poorly conformed sows (1.013 and 4.366, respectively) than for well-conformed sows (0.342 and 0.246, respectively). Survival decreased with the presence of abnormal hoof growth in LP and LF analyses (HR 5 3.372 and 6.002, respectively; P , 0.001) and bumps or injuries to legs (HR 5 4.172 and 5.839, respectively; P , 0.01). Plantigradism reduced sow survival in the LP analysis ( P , 0.05), while sickle-hooked leg ( P , 0.05) impaired sow survival in the fertility-specific analysis. Estimates of heritability for longevity related to LP culling ranged from 0.008 to 0.024 depending on the estimation procedure, whereas heritability values increased to between 0.017 and 0.083 in LF analysis. These analyses highlighted substantial discrepancies in the sources of variation and genetic background of sow longevity depending on the cause of failure. The estimated heritabilities suggested that direct genetic improvement for sow longevity seemed feasible, although only a small genetic progress was expected.

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Section: Kaplan-meier Survival Function and Censoring Percentagesupporting

confidence: 83%

Section: Kaplan-meier Survival Function and Censoring Percentagecontrasting

confidence: 62%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 97%

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Competing risk analyses of longevity in Duroc sows with a special emphasis on leg conformation

Sevilla

Fàbrega

Tibau

et al. 2009

Animal

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“…Finally, owing to increased leanness, body condition (represented by fat reserves) of the breeding sow is reduced. Therefore, sows have lower reserves for maintenance, reproduction and re-breeding (Young and Aherne, 2005), thereby exacerbating sow culling rates (Lopez-Serrano et al, 2000, Tarres et al, 2006. Outcomes to selection for lean growth efficiency can potentially be exacerbated by concurrent successful selection for litter size traits, because this further increases demands on the sow during gestation and lactation.…”

Section: Introductionmentioning

confidence: 99%

Body development in sows, feed intake and maternal capacity. Part 2: gilt body condition before and after lactation, reproductive performance and correlations with lactation feed intake

Lewis

Bunter

2011

Animal

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Data on sow body weight (BW) and fatness (n 5 ,2250 pregnant sows) and reproductive data (including historical: n 5 ,18 000) were used to examine the genetic and phenotypic associations between body condition before and after farrowing, gestational outcomes, lactation feed intake and the gilts' ability to survive unculled to farrow in the second parity. Within-trait genetic correlations were very high between weight (0.77 6 0.06) and fat depth (0.91 6 0.04) recorded before farrowing and at weaning. Litter size traits were generally uncorrelated genetically with aspects of sow BW and body condition. However, genetic correlations indicated that sows producing heavier piglets at birth had litters with increased gain (0.36 6 0.16), and were characterised by greater weight (20.72 6 0.08) and fat change (20.19 6 0.15) during lactation, reflected to a lesser extent by lower weight (20.12 6 0.11) and fatness (20.17 6 0.10) at weaning. Genetic correlations (r a ) between reproductive traits and lactation feed intake were generally low, but favourable. However, lactation intake was positively correlated with measures of sow size (r a 5 ,0.55), such that selection for lactation feed intake would likely be accompanied by increased mature sow size. Phenotypic correlations (r p ) showed that sow survival to the second parity (FAR12) was positively influenced by litter size and fat depth at weaning, supporting attributes of increased fatness before farrowing, less weight loss during lactation and an increased lactation intake.

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Impact of body condition on sow and litter performance, postpartum physiological, hematological, and biochemical parameters in Landlly crossbred pigs

Ajay,

Chauhan,

Vaishnav

et al. 2023

Trop Anim Health Prod

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Factors affecting longevity in maternal Duroc swine lines

Cited by 54 publications

References 18 publications

Competing risk analyses of longevity in Duroc sows with a special emphasis on leg conformation

Competing risk analyses of longevity in Duroc sows with a special emphasis on leg conformation

Body development in sows, feed intake and maternal capacity. Part 2: gilt body condition before and after lactation, reproductive performance and correlations with lactation feed intake

Impact of body condition on sow and litter performance, postpartum physiological, hematological, and biochemical parameters in Landlly crossbred pigs

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