Jean-Pierre Bidanel

Detection of quantitative trait loci for growth and fatness in pigs.

A quantitative trait locus (QTL) analysis of growth and fatness data from a three-generation experimental cross between Meishan (MS) and Large White (LW) pig breeds is presented. Six boars and 23 F1 sows, the progeny of six LW boars and six MS sows, produced 530 F2 males and 573 F2 females. Nine growth traits, i.e. body weight at birth and at 3, 10, 13, 17 and 22 weeks of age, average daily gain from birth to 3 weeks, from 3 to 10 weeks and from 10 to 22 weeks of age, as well as backfat thickness at 13, 17 and 22 weeks of age and at 40 and 60 kg live weight were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using two interval mapping methods: a line-cross (LC) regression method where founder lines were assumed to be fixed for different QTL alleles and a half-/full-sib (HFS) maximum likelihood method where allele substitution effects were estimated within each half-/full-sib family. Both methods revealed highly significant gene effects for growth on chromosomes 1, 4 and 7 and for backfat thickness on chromosomes 1, 4, 5, 7 and X, and significant gene effects on chromosome 6 for growth and backfat thickness. Suggestive QTLs were also revealed by both methods on chromosomes 2 and 3 for growth and 2 for backfat thickness. Significant gene effects were detected for growth on chromosomes 11, 13, 14, 16 and 18 and for backfat thickness on chromosome 8, 10, 13 and 14. LW alleles were associated with high growth rate and low backfat thickness, except for those of chromosome 7 and to a lesser extent early-growth alleles on chromosomes 1 and 2 and backfat thickness alleles on chromosome 6.

Detection of quantitative trait loci for carcass composition traits in pigs.

A quantitative trait locus (QTL) analysis of carcass composition data from a three-generation experimental cross between Meishan (MS) and Large White (LW) pig breeds is presented. A total of 488 F2 males issued from six F1 boars and 23 F1 sows, the progeny of six LW boars and six MS sows, were slaughtered at approximately 80 kg live weight and were submitted to a standardised cutting of the carcass. Fifteen traits, i.e. dressing percentage, loin, ham, shoulder, belly, backfat, leaf fat, feet and head weights, two backfat thickness and one muscle depth measurements, ham + loin and back + leaf fat percentages and estimated carcass lean content were analysed. Animals were typed for a total of 137 markers covering the entire porcine genome. Analyses were performed using a line-cross (LC) regression method where founder lines were assumed to be fixed for different QTL alleles and a half/full sib (HFS) maximum likelihood method where allele substitution effects were estimated within each half-/full-sib family. Additional analyses were performed to search for multiple linked QTL and imprinting effects. Significant gene effects were evidenced for both leanness and fatness traits in the telomeric regions of SSC 1q and SSC 2p, on SSC 4, SSC 7 and SSC X. Additional significant QTL were identified for ham weight on SSC 5, for head weight on SSC 1 and SSC 7, for feet weight on SSC 7 and for dressing percentage on SSC X. LW alleles were associated with a higher lean content and a lower fat content of the carcass, except for the fatness trait on SSC 7. Suggestive evidence of linked QTL on SSC 7 and of imprinting effects on SSC 6, SSC 7, SSC 9 and SSC 17 were also obtained.

Genetic parameters and genetic trends in the Chinese × European Tiameslan composite pig line. I. Genetic parameters

Genetic parameters of body weight at 4 (W4 w), 8 (W8 w) and 22 (W22 w) weeks of age, days from 20 to 100 kg (DT), average backfat thickness at 100 kg (ABT), teat number (TEAT), number of good teats (GTEAT), total number of piglets born (TNB), born alive (NBA) and weaned (NW) per litter, and birth to weaning survival rate (SURV) were estimated in the Chinese × European Tiameslan composite line using restricted maximum likelihood methodology applied to a multiple trait animal model. Performance data from a total of 4 881 males and 4 799 females from 1 341 litters were analysed. Different models were fitted to the data in order to estimate the importance of maternal effects on production traits, as well as genetic correlations between male and female performance. The results showed the existence of significant maternal effects on W4w, W8w and ABT and of variance heterogeneity between sexes for W22w, DT, ABT and GTEAT. Genetic correlations between sexes were 0.79, 0.71 and 0.82, respectively, for W22w, DT and ABT and above 0.90 for the other traits. Heritability estimates were larger than (ABT and TEAT) or similar to (other traits) average literature values. Some genetic antagonism was evidenced between production traits, particularly W4w, W8w and ABT, and reproductive traits.

The genetics of prenatal survival of pigs and rabbits: a review

Abstract Current knowledge on the genetic variability of prenatal survival (PS) in pigs and rabbits is reviewed. There is a large amount of variation between lines or breeds and these differences are not always negatively correlated with ovulation rate (OR); a line with a high OR can also have a high level of PS (e.g. the Meishan pig). Crossbreeding studies show that the maternal genotype is much more important in the control of line differences in PS than the the embryo/fetus, particularly the former, enhances PS, demonstrating the importance of non-additive genetic variation in the control of this trait. Only few estimates of the within breed genetic parameters of PS are available in the literature. Heritability seems to be low, with estimates ranging from 0 to 0.23. PS is negatively correlated with OR and positively correlated with number of embryos/fetuses (NE) or litter size (LS), but estimates of genetic correlations differ widely between studies. Selection for OR generally leads to an increase of NE at mid-gestation, but not at birth. Selection on a linear index combining OR and PS has not proved to be more efficient than selection on LS. New methods, such as unilateral hysterectomy/ovariectomy, which increases the emphasis on fetal survival and aims to measure uterine capacity, are currently under study and seem to be promising.

A further look at quantitative trait loci affecting growth and fatness in a cross between Meishan and Large White pig populations

A detailed quantitative trait locus (QTL) analysis of growth and fatness data from a three generation experimental cross between Large White (LW) and Meishan (MS) pig breeds was carried out to search for sex × QTL interactions, imprinting effects and multiple linked QTLs. A total of 530 F2 males and 573 F2 females issued from 6 F1 boars and 23 F1 sows were typed for a total of 137 markers covering the entire porcine genome. Nine growth traits and three backfat thickness measurements were analysed. All analyses were performed using line cross regression procedures. A QTL with sex-specific expression was revealed in the proximal region of chromosome 8, although some confusion between herd and sex effects could not be discarded. This previously undetected QTL affected male growth during the fattening period, with a favourable additive effect of the LW allele. The analyses also revealed the presence of two linked QTLs segregating on chromosome 1, affecting growth traits during the post-weaning period. The first QTL, previously detected using a single QTL model, was located at the end of the q arm of chromosome 1 and had a favourable MS allele. The second QTL had a favourable LW allele and was located in the proximal extremity of the q arm of chromosome 1. Suggestive genomic imprinting was found in the distal region of chromosome 9 affecting growth during the fattening period.

Genetic Study of Behavioral and Pituitary-Adrenocortical Reactivity in Response to an Environmental Challenge in Pigs

The adaptive response to environmental challenges involves both behavioral and neuroendocrine adjustments, and genetic factors have been shown to partly determine the intra- and interspecific variability observed in stress responses. To gain access to the biological and genetic basis of this variability, differences in neuroendocrine and behavioral responses to a 10-min novel environment exposure were studied in Meishan (MS) and Large White (LW) pig breeds, as well as in their F1 (MS x LW), F1R (LW x MS), and F2 (F1 x F1) crossings. Different behavioral scores were recorded and blood was taken by venipuncture, before and after the test, to measure levels of stress hormones (adrenocorticotropic hormone: ACTH and cortisol). MS pigs exhibited low vocalization, locomotion, and defecation scores when compared to LW. F1s showed intermediate locomotion scores. The vocalization scores of F1s were not significantly different from the respective scores of their parental MS and LW breeds. The defecation scores in F1s showed that there was some degree of dominance in the MS direction. Basal and poststress cortisol levels were higher in MS, F1s, and F2 than in LW, suggesting the dominance of this trait. Basal ACTH levels did not differ between the genetic types, whereas LW displayed higher poststress ACTH levels than MS. Phenotypic correlations were analyzed in the F2 segregating cross to study a possible link between behavioral and neuroendocrine traits. All behavioral variables were intercorrelated with 3 levels of association. The correlations between vocalization and locomotion scores and poststress ACTH levels suggest that these measures reflect the level of reactivity to the environmental challenge, and that they may share a common genetic control.

Immunity Traits in Pigs: Substantial Genetic Variation and Limited Covariation

Background Increasing robustness via improvement of resistance to pathogens is a major selection objective in livestock breeding. As resistance traits are difficult or impossible to measure directly, potential indirect criteria are measures of immune traits (ITs). Our underlying hypothesis is that levels of ITs with no focus on specific pathogens define an individuals immunocompetence and thus predict response to pathogens in general. Since variation in ITs depends on genetic, environmental and probably epigenetic factors, our aim was to estimate the relative importance of genetics. In this report, we present a large genetic survey of innate and adaptive ITs in pig families bred in the same environment. Methodology/Principal Findings Fifty four ITs were studied on 443 Large White pigs vaccinated against Mycoplasma hyopneumoniae and analyzed by combining a principal component analysis (PCA) and genetic parameter estimation. ITs include specific and non specific antibodies, seric inflammatory proteins, cell subsets by hemogram and flow cytometry, ex vivo production of cytokines (IFNα, TNFα, IL6, IL8, IL12, IFNγ, IL2, IL4, IL10), phagocytosis and lymphocyte proliferation. While six ITs had heritabilities that were weak or not significantly different from zero, 18 and 30 ITs had moderate (0.10.4) heritability values, respectively. Phenotypic and genetic correlations between ITs were weak except for a few traits that mostly include cell subsets. PCA revealed no cluster of innate or adaptive ITs. Conclusions/Significance Our results demonstrate that variation in many innate and adaptive ITs is genetically controlled in swine, as already reported for a smaller number of traits by other laboratories. A limited redundancy of the traits was also observed confirming the high degree of complementarity between innate and adaptive ITs. Our data provide a genetic framework for choosing ITs to be included as selection criteria in multitrait selection programmes that aim to improve both production and health traits.

Estimation of crossbreeding parameters between Large White and Meishan porcine breeds

A crossbreeding experiment using Large White (LW) and Meishan (MS) pig strains was conducted. Direct, maternal and and-maternal additive genetic effects along with direct, maternal and paternal heterosis effects were estimated for litter productivity traits: total number born (TNB), number born alive (NBA), number weaned (NW), litter weight at birth (WB) and at 21 days (W21), either adjusted or not for litter size, and survival rate from birth to weaning (SR). Direct, maternal additive and direct heterosis effects were also estimated for sow traits: weight before farrowing (SWF) and at weaning (SWW), weight loss (SWL) and feed consumption (SFC) during lactation. Data from 267 litters farrowed by 117 sows were analysed. Between breeds additive differences in prolificacy are mainly maternal (3.7 ± 0.9, 4.2 ± 0.8 and 2.8 ± 0.8 piglets/litter in favour of MS for TNB, NBA and NW respectively). Maternal effects are also important, but in favour of LW, for adjusted litter weights. However, due to litter size differences, they are non-significant for unadjusted litter weights. Direct and grand-maternal differences are non-significant for all litter traits, except SR where grand-maternal effects are in favour of MS (4.1 ± 1.5%). Large additive differences also exist in sow traits: LW dams are heavier 57 ±

Multivariate restricted maximum likelihood estimation of genetic parameters for growth, carcass and meat quality traits in French Large White and French Landrace pigs

ADG2, DP, ECLC and MQI were respectively 0.30, 0.64, 0.22, 0.52, 0.39, 0.60, 0.33 in the LW and 0.34, 0.56, 0.25, 0.46, 0.31, 0.68, 0.23 in the LR breed. Common litter effects ranged from 5% (ABT in LW breed) to 16% (ADG2 in LR breed) of phenotypic variance. Growth traits and FCR exhibited favourable genetic correlations, but were unfavourably correlated to DP and carcass lean content. MQI also showed unfavourable though generally low genetic correlations with all the other traits. These antagonisms were apparent in both breeds, but tended to be larger in the LW than in the LR breed.

Correlated responses in sow appetite, residual feed intake, body composition, and reproduction after divergent selection for residual feed intake in the growing pig

Residual feed intake (RFI) has been explored as an alternative selection criterion to feed conversion ratio to capture the fraction of feed intake not explained by expected production and maintenance requirements. Selection experiments have found that low RFI in the growing pig is genetically correlated with reduced fatness and feed intake. Selection for feed conversion ratio also reduces sow appetite and fatness, which, together with increased prolificacy, has been seen as a hindrance for sow lifetime performance. The aims of our study were to derive equations for sow RFI during lactation (SRFI) and to evaluate the effect of selection for RFI during growth on sow traits during lactation. Data were obtained on 2 divergent lines selected for 7 generations for low and high RFI during growth in purebred Large Whites. The RFI was measured on candidates for selection (1,065 pigs), and sow performance data were available for 480 sows having from 1 to 3 parities (1,071 parities). Traits measured were sow daily feed intake (SDFI); sow BW and body composition before farrowing and at weaning (28.4 ± 1.7d); number of piglets born total, born alive, and surviving at weaning; and litter weight, average piglet BW, and within-litter SD of piglet BW at birth, 21 d of age (when creep feeding was available), and weaning. Sow RFI was defined as the difference between observed SDFI and SDFI predicted for sow maintenance and production. Daily production requirements were quantified by litter size and daily litter BW gain as well as daily changes in sow body reserves. The SRFI represented 24% of the phenotypic variability of SDFI. Heritability estimates for RFI and SRFI were both 0.14. The genetic correlation between RFI and SRFI was 0.29 ± 0.23. Genetic correlations of RFI with sow traits were low to moderate, consistent with responses to selection; selection for low RFI during growth reduced SDFI and increased number of piglets and litter growth, but also increased mobilization of body reserves. No effect on rebreeding performance was found. Metabolic changes previously observed during growth in response to selection might explain part of the better efficiency of the low-RFI sows, decreasing basal metabolism and favoring rapid allocation of resources to lactation. We propose to consider SRFI as an alternative to SDFI to select for efficient sows with reduced input demands during lactation.