Genetic parameters for feed intake, litter weight, body condition and rebreeding success in primiparous Norwegian Landrace sows

Lundgren, H.; Fikse, W.F.; Grandinson, K.; Lundeheim, N.; Canario, Laurianne; Vangen, O.; Olsen, Dan R.; Rydhmer, Lotta

doi:10.1017/s1751731113002000

Cited by 19 publications

(15 citation statements)

References 30 publications

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“…,Rydhmer et al (2008),Su et al (2008),Wallenbeck et al (2008),Clapperton et al (2009),Davies et al (2009), Nejsum et al (2009,Canario et al (2010),Gourdine et al (2010),Lundgren et al (2010Lundgren et al ( , 2012Lundgren et al ( , 2014 b See…”

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confidence: 99%

Preferences for pig breeding goals among organic and conventional farmers in Sweden

et al. 2015

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Organic and conventional pig farmers' preferences regarding breeding goal traits important in pigs were investigated using an advanced internet-based questionnaire. Farmers were asked what pig traits they spontaneously considered important, to rank 15 given traits and to weigh traits against each other given the estimated genetic change (calculated based on selection index theory). Organic and conventional farmers ranked both functional and production traits highly. For example, more than 70 % of farmers from both production systems ranked piglet survival, fertility, sow longevity, leg health, feed conversion, piglet birth weight, piglet and slaughter pig growth as being of high or moderate importance (1-10/15). Litter size and shoulder ulcers were ranked higher by respondents from conventional farms, while parasite resistance and roughage consumption were ranked higher by respondents from organic farms. Regarding estimated desired genetic change, respondents from organic farms favoured health traits while conventional farmers favoured growth traits. In order to obtain genetic improvement in those traits, farmers gave low priority to carcass quality and litter size. Due to the variations in farmers' breeding goal trait preferences demonstrated here, it is clearly important to take farmers' preferences into consideration when developing future pig breeding strategies.

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confidence: 99%

Preferences for pig breeding goals among organic and conventional farmers in Sweden

et al. 2015

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“…Heritability estimate for this trait was low: 0.04 for LY and 0.12 for LL. Also in different studies reported before, heritability for WCI tended to be low [1,2,8]. The heritability for WCI after first parity was higher than after second parity [12].…”

Section: Discussionmentioning

confidence: 93%

“…Lundgren et al [8] observed that sows with genetic capacity for a high body condition at weaning may produce more piglets in the second parity, which suggests that it is reasonable to focus more attention on the LL and LY sow body condition before and after weaning of piglets and to measure these values.…”

Section: Discussionmentioning

confidence: 99%

Genetic Parameters and Genetic Gain for the Reproduction Traits in Latvian Landrace and Yorkshire Sows Populations

Paura¹

2014

AVS

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The aim of this study was to estimate genetic parameters for the reproduction traits of Landrace and Yorkshire sows and to analyze the genetic gain in these Latvian swine populations. Records of 14 577 first-parity and 27 359 later-parities Landrace sows and 6039 first-parity and 12 360 later-parities Yorkshire sows born between 2000 and 2012 were included in the analysis. The number of piglets born alive and 21-day litter weight at first and later parities, and weaning-conception interval between the first and second parity were included in the study. The genetic parameters were estimated using a single-trait animal model for the first parity and a single-trait repeatability animal model for later parities using REML procedure. Compared to heritability estimates for number born alive, heritabilities for litter weight were higher in both populations: in the first parity 0.10±0.015 vs. 0.31±0.021 for Landrace, and 0.05±0.016 vs. 0.23±0.028 for Yorkshire; in later parities 0.10±0.010 vs. 0.23±0.013 for Landrace, and 0.10±0.017 vs. 0.20±0.022 for Yorkshire. The heritability of reproduction traits was low; however, during the last ten years, reproduction traits in nucleus herds were improving. The results show that genetic progress in the last five years has been relatively low.

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“…In many cases, GS has been reported to be more suitable than REML analyses for the analysis of complicated models, as it can obtain and update all information from the posterior probability distribution without solving the mixed model equations (Gianola and Fernando, 1986;Van Tassell et al, 1995). Therefore, the GS method is increasingly used to estimate the genetic parameters of quantitative traits (Waldmann and Ericsson, 2006;Pardo et al, 2013), such as BW in cattle (Lundgren et al, 2014), feed intake and litter weight in sows (Lopes et al, 2013), and egg production in chicken (Luo et al, 2007). In this study, a comparison of the estimates obtained using the REML and GS methods were determined to be similar; this was consistent with the results obtained in other studies (Van Tassell and Van Vleck, 1996;Andersen-Ranberg et al, 2005;Stock et al, 2007).…”

Section: Discussionmentioning

confidence: 99%

Estimating the genetic parameters for liver fat traits in broiler lines divergently selected for abdominal fat

Liang¹,

Wang²,

Xu³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. Intensive selection of broilers for improved growth rate is known to exert a negative effect on broiler health, such as an increase in body fat (and its related diseases). Excessive fat deposition in the liver can cause fatty liver hemorrhagic syndrome (FLHS); in addition, traits associated with liver fat have also been associated with FLHS. This study explored the genetic relationships among liver fat-related traits. Data was collected from 462 birds derived from 16th generation Northeast Agricultural University broiler lines divergently selected for abdominal fat content. The body weight at 7 weeks of age (BW7), abdominal fat weight (AFW), abdominal fat percentage, liver fat percentage (LFP), liver weight, and liver percentage were measured. The heritability of these traits and the phenotypic and genetic correlations were estimated, using the restricted maximum likelihood (REML) and Gibbs sampling 9647 Genetic parameters for liver fat traits in broilers ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (3): 9646-9654 (2015) (GS) methods. The REML and GS methods yielded similar heritability estimates for LFP (0.36 and 0.37, respectively). BW7 showed a high positive genetic correlation with AFW (r A(REML) = 0.74 and r A(GS) = 0.80), and a moderate positive genetic correlation with LFP (r A(REML) = 0.27 and r A(GS) = 0.39). Positive genetic correlations were also observed between AFW and LFP (r A(REML) = 0.35 and r A(GS) = 0.36). These results suggested that selection for growth may increase the AFW and LFP in broilers. LFP is directly related to FLHS; therefore, selection for broiler growth rate may increase the incidence of FLHS.

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Genetic parameters for feed intake, litter weight, body condition and rebreeding success in primiparous Norwegian Landrace sows

Cited by 19 publications

References 30 publications

Preferences for pig breeding goals among organic and conventional farmers in Sweden

Preferences for pig breeding goals among organic and conventional farmers in Sweden

Genetic Parameters and Genetic Gain for the Reproduction Traits in Latvian Landrace and Yorkshire Sows Populations

Estimating the genetic parameters for liver fat traits in broiler lines divergently selected for abdominal fat

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