Genetic and non-genetic effects influencing lamb survivability in the Czech Republic

Vostrý, L.; Milerski, M.

doi:10.1016/j.smallrumres.2013.02.008

Cited by 14 publications

(13 citation statements)

References 22 publications

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“…In sheep, it has been showed that mortality usually increases with litter size (Vostry and Milerski, 2013), however, Bradford (1972) suggested that litter size does not affect lamb survival directly but through its effects on birth weight. The logistic regression analysis in this study showed that the probability of fawn survival increases as birth weight increases.…”

Section: Discussionmentioning

confidence: 99%

“…In species, such as sheep, lamb survival is influenced by the direct genetic effect of the lamb genes and its dam (Lopez-Villalobos and Garrick, 1999). There is also evidence that supports the small degree of direct and maternal genetic variation for lamb survival (Burfening, 1993;Riggio et al, 2008;Vostry and Milerski, 2013). …”

Section: Introductionmentioning

confidence: 95%

“…Survival at the individual level can be genetically explained by the direct genetic additive component, together with maternal effects (Vostry and Milerski, 2013). Both of these genetic effects are complementary to achieve sustained genetic improvement.…”

Section: Introductionmentioning

confidence: 99%

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Revealing the genetic and non-genetic components of variation of survival in farmed White-tailed deer (Odocoileus virginianus, Texanus, Zimmermann, 1780) neonates

Parra‐Bracamonte

López‐Villalobos

Sifuentes‐Rincón

et al. 2014

Small Ruminant Research

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 95%

See 1 more Smart Citation

Revealing the genetic and non-genetic components of variation of survival in farmed White-tailed deer (Odocoileus virginianus, Texanus, Zimmermann, 1780) neonates

Parra‐Bracamonte

López‐Villalobos

Sifuentes‐Rincón

et al. 2014

Small Ruminant Research

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“…Lamb survival can be treated as a trait of the dam or a trait of the individual (Vostry and Milerski 2013). Estimates of direct heritability are in the range from 0.01 to 0.13, while maternal heritability estimates range from 0.01 to 0.07 (Maxa et al 2009;Vatankhah and Talebi 2009;Hatcher et al 2010;Vostry and Milerski 2013).…”

Section: Sheepmentioning

confidence: 99%

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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“…The authors documented positive genetic progress in animals from those flocks compared with a control population. Other studies have investigated relationships between selection schemes in different countries (Santos et al 2015), genetic and non-genetic factors affecting growth traits (Gizaw et al 2007;Vostry and Milerski 2013;Mortimer et al 2014;Ptacek et al 2017a, b), and economic models related to these attributes (Wolfova et al 2009). This study differed from previous reports because it assessed the manifestation of phenotypical values of lamb growth traits corrected by environmental effects in relation to the genetic predisposition of parents.…”

mentioning

confidence: 99%

Response to selection of a breeding program for Suffolk sheep in the Czech Republic

Ptáček¹,

Ducháček²,

Schmidová³

et al. 2018

CZECH J ANIM SCI

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Ptáček M., Ducháček J., Schmidová J., Stádník L. (2018): Response to selection of a breeding program for Suffolk sheep in the Czech Republic. Czech J. Anim. Sci., 63, 305-312.Lamb growth performance traits in relation to parental breeding values (BVs) for these traits were evaluated in a purebred Suffolk sheep population in the Czech Republic. The research lasted over 8 years and included 24 886 lambs. Four relevant parental BVs were observed: BV predicted for lamb live weight direct effect (BVLW-DE), BV predicted for lamb live weight maternal effect (BVLW-ME), BV predicted for lamb musculus longissimus lumborum et thoracis depth (BV-MLLT), and BV predicted for lamb backfat thickness (BV-BT). The lamb live weight (LW; kg), musculus longissimus lumborum et thoracis depth (MLLT; mm), and backfat thickness (BT; mm) were assessed at 100 days of age. A dataset was created using the most current parental BVs for each year (2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014) and subsequent growth traits of their lambs in the next season (2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015). Linear regressions showed an increased tendency when one point in dam BVs was associated with an increase in lamb LW (0.393 kg; P < 0.01 in BVLW-DE and 0.090 kg; P < 0.05 in BVLW-ME), MLLT (0.340 mm; P < 0.01 in BV-MLLT), or BT (0.243; P < 0.01 mm in BV-BT). Lower (but significant -P < 0.01) values on linear regression were detected for sire BVs, when 0.135 kg of LW, 0.217 mm of MLLT, and 0.214 mm of BT corresponded to 1-point increases of BVLW-DE, BV-MLLT, or BV-BT. This was confirmed by ANOVA evaluation, especially for LW and MLLT traits. Maximal differences (P < 0.05) in lamb LW were 1.84 kg or 0.88 kg regarding to dam or sire BVLW-DE groups. Similarly, the difference (P < 0.05) in lamb MLLT reached 0.82 mm in dam BV-MLLT, while 0.57 mm was detected in sire BV-MLLT groups. These results have practical implications for the objectives of selection schemes used in the Suffolk sheep population in the Czech Republic.

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Genetic and non-genetic effects influencing lamb survivability in the Czech Republic

Cited by 14 publications

References 22 publications

Revealing the genetic and non-genetic components of variation of survival in farmed White-tailed deer (Odocoileus virginianus, Texanus, Zimmermann, 1780) neonates

Revealing the genetic and non-genetic components of variation of survival in farmed White-tailed deer (Odocoileus virginianus, Texanus, Zimmermann, 1780) neonates

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

Response to selection of a breeding program for Suffolk sheep in the Czech Republic

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