Estimation of genetic associations between reproduction and production traits based on a sire and dam line with common ancestry

Kapell, D. N. R. G.; Ashworth, Cheryl; Walling, Grant A.; Lawrence, Alistair B.; Edwards, Sandra A.; Roehe, R.

doi:10.1017/s1751731109990279

Cited by 19 publications

(19 citation statements)

References 25 publications

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“…On the other hand, (Hermesch et al 2000;Chen et al 2003;Holm et al 2004) have reported low (and antagonistic) genetic correlations between production and reproductive traits. This is in agreement with Arango et al (2005) and Kapell et al (2009), who reported relatively high antagonistic correlations. A general problem in comparing studies of growth traits of pigs is the substantial diversity in definition of growth traits.…”

Section: Pigssupporting

confidence: 92%

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Recent developments in cattle, pig, sheep and horse breeding - a review

et al. 2014

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The aim of this review was to summarize new genetic approaches and techniques in the breeding of cattle, pigs, sheep and horses. Often production and reproductive traits are treated separately in genetic evaluations, but advantages may accrue to their joint evaluation. A good example is the system in pig breeding. Simplified breeding objectives are generally no longer appropriate and consequently becoming increasingly complex. The goal of selection for improved animal performance is to increase the profit of the production system; therefore, economic selection indices are now used in most livestock breeding programmes. Recent developments in dairy cattle breeding have focused on the incorporation of molecular information into genetic evaluations and on increasing the importance of longevity and health in breeding objectives to maximize the change in profit. For a genetic evaluation of meat yield (beef, pig, sheep), several types of information can be used, including data from performance test stations, records from progeny tests and measurements taken at slaughter. The standard genetic evaluation method of evaluation of growth or milk production has been the multi-trait animal model, but a test-day model with random regression is becoming the new standard, in sheep as well. Reviews of molecular genetics and pedigree analyses for performance traits in horses are described. Genome -wide selection is becoming a world standard for dairy cattle, and for other farm animals it is under development.

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Section: Pigssupporting

confidence: 92%

“…The proportion of variance due to the service sire was very low (between 0.8 and 1.6%). Similar low heritabilities have been reported by other authors (Serenius et al 2003;Su et al 2007;Kapell et al 2009;Chen et al 2010). A general question is whether selection against piglet losses may be effective.…”

Section: Pigssupporting

confidence: 87%

Recent developments in cattle, pig, sheep and horse breeding - a review

et al. 2014

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“…Very low genetic correlations between litter size traits on the one hand and growth rate or lean meat content (backfat thickness) on the other were reported by several authors (Noguera et al, 2002;Arango et al, 2005;Kapell et al, 2009). However, litter size and production and quality traits are probably not independent as shown in a selection experiment by Estany et al (2002a, b).…”

Section: Discussionmentioning

confidence: 90%

Simultaneous estimation of genetic parameters for production and litter size traits in Czech Large White and Czech Landrace pigs

Krupa¹,

Wolf²

2013

Czech J. Anim. Sci.

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ABSTRACT:Genetic parameters for total number of piglets born per litter, number of piglets weaned per litter, lean meat content, and average daily gain from birth till the end of the field test were estimated for Czech Large White (445 589 records) and Czech Landrace (149 057 records) pigs using a four-trait animal model. The following heritabilities were estimated (first number: Large White, second number: Landrace): 0.10 ± 0.004 and 0.09 ± 0.007 for total number born; 0.09 ± 0.005 and 0.07 ± 0.008 for number weaned; 0.39 ± 0.004 and 0.36 ± 0.009 for lean meat content; 0.21 ± 0.004 and 0.18 ± 0.006 for daily gain. The highest genetic correlation (approximately 0.85 in both breeds) was estimated between both litter size traits. In Czech Landrace, all remaining genetic correlations were < 0.20 in their absolute value. Negative correlations of approximately -0.25 were estimated in Czech Large White between daily gain and both reproduction traits. All remaining correlations in Czech Large White were also < 0.20 in their absolute value. The estimated non-zero correlations between production and reproduction traits are, besides of other arguments, one reason to recommend a joint genetic evaluation of production and reproduction traits. If more than one litter trait is included in the genetic evaluation, repeatability models should be used instead of separate treating the first and the second and subsequent litters; this is because of the high correlations among litter size traits which are expected to cause numerical problems if multi-parity models are used.

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“…The present study was focused on the behaviour of sows and the biochemical indices of the offspring, and a conclusion on the reproductive performance based on the numbers of sows in the present study could not be drawn. Back fat thickness was measured by ultrasound, which is considered a good measure of sow body condition (Kapell et al, 2009). Chapinal et al (2010) showed there was no significant difference in the back fat depth of sows during pregnancy between the two housing conditions.…”

Section: Discussionmentioning

confidence: 99%

Group housing during gestation affects the behaviour of sows and the physiological indices of offspring at weaning

Zhou

Sun

Wang

et al. 2014

animal

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To compare the behaviour of sows and the physiological indices of their offspring in stall and group-housing systems, 28 sows were randomly distributed into two systems with 16 sows in stalls, and the other 12 sows were divided into three groups with four sows per pen. The area per sow in stalls and groups was 1.2 and 2.5 m 2 , respectively. Back fat depth of the sow was measured. Salivary cortisol concentration of the sows, colostrum composition and piglets' serum biochemical indicators were evaluated. The behaviour of the sows, including agonistic behaviour, non-agonistic social behaviour, stereotypical behaviour and other behaviours at weeks 2, 9 and 14 of pregnancy were analysed. The results showed no differences in the back fat depth of sows. Colostrum protein, triglyceride, triiodothyronine, thyroxine and prolactin concentrations in the whey also demonstrated no significant differences between the two housing systems. Salivary cortisol concentration was significantly higher in the sows housed in groups than the sows in stalls. The concentrations of serum total cholesterol and low-density lipoprotein (LDL) cholesterol were significantly higher in the offspring of sows housed in groups ( P = 0.006 and 0.005, respectively). The GLM procedure for repeated measures analysis showed the frequency of drinking, and non-agonistic social behaviour was significantly higher in the sows housed in groups than the sows in stalls; yet the frequency of agonistic and sham chewing demonstrated the opposite direction. The duration of standing was significantly longer in the sows housed in groups, but the sitting and stereotypical behaviour duration were significantly shorter compared with the sows in stalls. These results indicated that group housing has no obvious influence on the colostrum composition of sows; however, it was better for sows to express their non-agonistic social behaviour and reduce the frequency of agonistic behaviour and stereotypical behaviour. Meanwhile, group housing during gestation significantly increased serum total cholesterol and LDL cholesterol of offspring.

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Estimation of genetic associations between reproduction and production traits based on a sire and dam line with common ancestry

Cited by 19 publications

References 25 publications

Recent developments in cattle, pig, sheep and horse breeding - a review

Recent developments in cattle, pig, sheep and horse breeding - a review

Simultaneous estimation of genetic parameters for production and litter size traits in Czech Large White and Czech Landrace pigs

Group housing during gestation affects the behaviour of sows and the physiological indices of offspring at weaning

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