Estimation of genetic trends in French Large White pigs from 1977 to 1998 for growth and carcass traits using frozen semen12

Tribout, Thierry; Caritez, Jean-Claude; Gruand, Joseph; Bouffaud, Marcel; Guillouet, Philippe; Billon, Yvon; Péry, Christophe; Laville, Élisabeth; Bidanel, Jean Pierre

doi:10.2527/jas.2009-2356

Cited by 37 publications

(36 citation statements)

References 13 publications

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“…A comparison of the modern intensively selected pig and the unselected line representing the pig population existing 20 years ago (Oksbjerg et al 2000, Tribout et al 2003, and selection experiments (Sonesson et al 1998, Cameron et al 1999) have shown some deterioration in water holding capacity, meat colour, tenderness and pH. Meat quality is a breeding goal in pig improvement programmes in many countries (Schwörer et al 1994, Hovenier et al 1995.…”

Section: Introductionmentioning

confidence: 99%

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Genetic variation of loin and ham quality in Finnish Landrace and Large White pigs

Sevón-Aimonen¹,

Honkavaara²,

Serenius³

2008

AFSci

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Selection potential for meat quality of economically important loin (longissimus) and ham muscles (adductor, semimembranosus, biceps femoris) has been assessed. Ultimate pH (pH u ), meat colour (lightness, redness and yellowness), drip loss and two visually scored colour traits were recorded from 483 Finnish Landrace and 494 Finnish Large White station test pigs in a half-sib design. A univariate restricted maximum likelihood procedure was used to estimate variance components. The statistical model contained age at beginning of test, sex and time lapse from slaughter to dissection as fixed effects and slaughter batch, common environment of littermates and additive genetic effect of the animal as random effects. The average pH u values in adductor and semispinalis were between 5.6 and 6.1. The pH u were on average 5.4 and 5.5 in longissimus and semimembranosus respectively, with the latter two being lower than optimum values of 5.6 to 5.9. Lightness for semimembranosus turned to be clearly lighter (62) than for other muscles. Lightness for longissimus (56) was slightly lighter than optimum (from 48 to 54). The heritability varied from zero to 0.45 for pH u , from 0.02 to 0.34 for lightness, from 0.17 to 0.56 for redness, from zero to 0.28 for yellowness and from 0.05 to 0.16 for drip loss. Heritability for redness values was considerably higher than heritability for other meat quality traits. The heritability of quality traits spoke for possibilities for genetic improvement of meat quality. Genetic correlations between quality traits (pH u and lightness) and average daily gain varied strongly among breeds and muscles. Genetic correlations between meat-% and pH u were in most cases high and unfavourable (rg from -0.36 to -0.68 except in longissimus, where it was 0.11). Genetic correlations between meat-% and lightness were unfavourable in Finnish Large White (from 0.47 to 0.92) but in Finnish Landrace estimates varied among muscles (from -0.40 to 0.47). Due to these results, the ham quality (pH u and lightness for semimembranosus) was included in the selection criteria for pork quality in the Finnish pig improvement programme.

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Section: Introductionmentioning

confidence: 99%

“…The pH u and colour are optimum traits. Colour heterogeneity among muscles is also undesirable and, for ham it is assessed by visual standards (National pork producer council 1999) or by a bi-colour index (Tribout et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Genetic variation of loin and ham quality in Finnish Landrace and Large White pigs

Sevón-Aimonen¹,

Honkavaara²,

Serenius³

2008

AFSci

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“…Some advantages include increased time to test for pathogens and fertility and additional time for distribution of semen with high genetic merit (Tribout et al, 2010;Knox, 2011). However, <1% of porcine AI use frozen-thawed boar spermatozoa because the economic advantages do not compensate for the reduction in fertility caused by cryopreservation damage (Johnson et al, 2000;Knox et al, 2008;Rath et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Enhanced fertility prediction of cryopreserved boar spermatozoa using novel sperm function assessment

Daigneault

McNamara

Purdy³

et al. 2015

Andrology

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SUMMARYDue to reduced fertility, cryopreserved semen is seldom used for commercial porcine artificial insemination (AI). Predicting the fertility of individual frozen ejaculates for selection of higher quality semen prior to AI would increase overall success. Our objective was to test novel and traditional laboratory analyses to identify characteristics of cryopreserved spermatozoa that are related to boar fertility. Traditional post-thaw analyses of motility, viability, and acrosome integrity were performed on each ejaculate. In vitro fertilization, cleavage, and blastocyst development were also determined. Finally, spermatozoa-oviduct binding and competitive zonabinding assays were applied to assess sperm adhesion to these two matrices. Fertility of the same ejaculates subjected to laboratory assays was determined for each boar by multi-sire AI and defined as (i) the mean percentage of the litter sired and (ii) the mean number of piglets sired in each litter. Means of each laboratory evaluation were calculated for each boar and those values were applied to multiple linear regression analyses to determine which sperm traits could collectively estimate fertility in the simplest model. The regression model to predict the percent of litter sired by each boar was highly effective (p < 0.001, r 2 = 0.87) and included five traits;acrosome-compromised spermatozoa, percent live spermatozoa (0 and 60 min post-thaw), percent total motility, and the number of zona-bound spermatozoa. A second model to predict the number of piglets sired by boar was also effective (p < 0.05, r 2 = 0.57).These models indicate that the fertility of cryopreserved boar spermatozoa can be predicted effectively by including traditional and novel laboratory assays that consider functions of spermatozoa.

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“…Intaratham et al (2008) studied birth weight and weaning weight of Northeastern Thai Indigenous cattle line for genetic trend and concluded that positive response to selection was found for both traits. The estimated genetic trends basically contrast between the 2 levels of fixed effect in a linear model, and they are therefore much more robust than annual averages of BLUP EBV, which are known to be sensitive to the data modeling and to the genetic parameters used as priors (Tribout, et al, 2010). Phenotypic trends in animal performance can be readily quantified from information collected in research or field populations.…”

Section: Resultsmentioning

confidence: 99%

Estimation of (Co)Variance Components and Genetic Parameter of Withers Height, Chest Girth and Body Length of Bali Cattle Using Animal Model

Supriyantono¹,

Tomiyama²,

Suzuki³

2012

ijmz

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Selection criteria for performance test of yearling bulls commonly include indicators of important traits, such as withers height (WH), chest girth (CG) and body length (BL). Estimations of (co)variance component and genetic parameter of WH, CG and BL of Bali cattle are rarely reported or have not been reported. Therefore, the objective of this study was to estimate (co)variance components and genetic parameter among the indicator traits WH, CG and BL. Records for WH (n = 140), CG (n = 133), and BL (n = 130) were obtained from the Bali Breeding Center which consisted of 23 sires and 134 dams represented in the data. (Co)variance components were estimated using animal model, and average information REML was used to obtain estimates of heritability and genetic correlations. Fixed effects included sex, age, and calving season. The random effect of the animal was included to estimate additive genetic effects. Generally heritability estimates of 0.41±0.08, 0.40±0.09, and 0.39±0.08 were obtained for WH, CG and BL on the underlying scale, respectively. The genetic correlation between WH and CG (0.05) was close to zero, as were the estimated genetic correlations between WH and BL (0.05) and CG and BL (0.05). Genetic and phenotypic trends did not show improvement due to selection. However, these results suggest that concomitant selection for increased withers height, chest girth and body length would not be antagonistic.

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Estimation of genetic trends in French Large White pigs from 1977 to 1998 for growth and carcass traits using frozen semen12

Cited by 37 publications

References 13 publications

Genetic variation of loin and ham quality in Finnish Landrace and Large White pigs

Genetic variation of loin and ham quality in Finnish Landrace and Large White pigs

Enhanced fertility prediction of cryopreserved boar spermatozoa using novel sperm function assessment

Estimation of (Co)Variance Components and Genetic Parameter of Withers Height, Chest Girth and Body Length of Bali Cattle Using Animal Model

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