scholarly journals Genetic parameters for a joint genetic evaluation of production and reproduction traits in pigs

2011 ◽  
Vol 50 (No. 3) ◽  
pp. 96-103 ◽  
Author(s):  
J. Wolf ◽  
E. Žáková ◽  
E. Groeneveld

The covariance structure was estimated by REML for a joint genetic evaluation of production and reproduction traits for Czech Landrace (58 258 records) and Czech Large White (167 161 records) pigs using four-trait animal models. The following traits were analysed: lean mean percentage at the end of the performance test in the field, estimated from ultrasonic measurements unadjusted for live weight (LM), average daily gain in field test (in g/day) calculated as weight at the end of the test divided by age at the end of the test (ADG), number of piglets born alive in parity 1 (NBA1) and number of piglets born alive in parity 2 and subsequent parities (NBA2+). The heritabilities were in the range from 0.30 to 0.37 for LM, from 0.13 to 0.18 for ADG, from 0.09 to 0.13 for NBA1 and from 0.10 to 0.14 for NBA2+, depending on the breed and on the model (herd-year-season random or fixed). Genetic correlations between production and reproduction traits were estimated to be non-zero. Correlations between traits caused by the herd-year-season effect were mostly positive. As a general conclusion, the joint genetic evaluation of production and reproduction traits is recommended. The herd-year-season effect should be preferably considered as random.  

1996 ◽  
Vol 47 (8) ◽  
pp. 1275 ◽  
Author(s):  
E Tholen ◽  
KL Bunter ◽  
S Hermesch ◽  
HU Graser

Data sets from 2 large Australian piggeries were used to estimate genetic parameters for the traits weaning to conception interval (WCIi-l,i) and farrowing interval (FIi-l,i), number born alive (NBAI), average piglet birthweight (BWi), 21-day litter weight (W21i), and sow stayability (STAYli) recorded for each ith parity, as well as sow average daily gain (ADG) and backfat (BF) recorded at the end of performance test. Over parities and herds, heritabilities for each trait were in the ranges: WCI/FI, 0.0-0.10; NBA, 0.09-0.16; BW, 0.11-0.35; W21, 0.12-0.23; STAYli, 0.02-0.09; ADG, 0.35-0.37; BF, 0.36-0.45. Genetic correlations between NBAl and NBA from later parities were significantly different from 1. In addition, in 1 herd negative genetic correlations (rg = -0.04 to -0.25) were found between sow stayability traits and NBA1, but not NBA recorded in later parities. Stayability was Unfavourably correlated with ADG and BF, and favourably correlated with WCI12. However, WCI12 was unfavourably correlated genetically with BF (rg = -0.24) but uncorrelated with ADG. Antagonistic relationships also existed between NBA and BW, NBA and W21, and BW and STAY. In addition to the traditional traits currently included in pig-breeding programs (e.g. ADG, BF, and NBA), traits such as WCI, BW, and STAY should also be considered as selection criteria to minimise the detrimental effects of antagonistic genetic relationships between traits.


2002 ◽  
Vol 45 (5) ◽  
pp. 481-490
Author(s):  
R. Fischer ◽  
U. Müller ◽  
U. Bergfeld

Abstract. Title of the paper: Genetic association for daily gain (lifetime) in an crossbreeding program The aim of this investigation is an analysis of the crossing structure of a three-race crossing program and the genetic relations with respect to the trait average daily gain. For this purpose we examine the genetic relations for their usefulness for a estimation of genetic parameters and breeding values. Finally a parameter estimation is carried out. The data basis consists of 1757 German Large White performances, 34980 Landrace performances and 2775 Pietrain performances in pure breed as well as 92757 performances of the crossings of the mother lines and altogether 13854 Pietrain crossings (1997 PI x DL and 11857 PI x DEDL). The heritabilities for the variable daily gain are in the range from 0.17 to 0.31. The genetic correlations between the mother races and their crossbreedings are around 0.9. Between the pure Pietrain and the Pietrain crossings these values reach only 0.7. Within the two groups of crossings with Pietrains the genetic correlations are almost one. From the genetic point of view it is possible to put together the mother races and their crossings as well as the Pietrain crossings. Thus, for this trait it is sufficient to consider a three variable model with separate investigation of the mother races, the Pietrains and the Pietrain crossings.


2013 ◽  
Vol 58 (No. 9) ◽  
pp. 429-436 ◽  
Author(s):  
E. Krupa ◽  
J. Wolf

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.  


2000 ◽  
Vol 43 (5) ◽  
pp. 451-462
Author(s):  
S. Karsten ◽  
R. Röhe ◽  
V. Schulze ◽  
H. Looft ◽  
E. Kalm

Abstract. Title of the paper. Genetic association between individual feed intake during Performance test and reproductions traits in pigs The present study deals with the estimation of genetic correlations between Performance test traits measured in boars and reproduction traits of their offspring (sibs) of two purebred lines. Performance traits were individual feed intake (FI) recorded by electronic feeder, feed conversion ratio (FCR), average daily gain (ADG) and backfat thickness (BF). Reproduction traits were number of total piglets born (NBT) and born alive (NBA) Data of 4869 young boars, Performance tested between April 1992 and May 1997 and data of 9710 primiparous sows farrowed between June 1994 to November 1998, were observed. Heritabilities of Performance traits recorded on Station were in line 03 (line 04) h2 = 0.24 (0.33), 0.33 (0.33), 0.23 (0.32) and 0.47 (0.53) for FI, ADG FCR and BF, respectively. Heritabilities of reproduction traits such as NBT, NBA were in line 03 (line 04) h2 = 0 05 (0.08) and 0.05 (0.06), respectively. Genetic correlation between individual feed intake and reproduction traits ranged between rg = 0.12 and 0.27. Undesirable genetic correlations were found between reproduction traits and feed efficiency (rg = 0.13 to 0.44), backfat thickness (rg = 0.07 to 0.25) and partly average daily gain (rg = −010 to 0.09). Line 04 showed lowest magnitude of feed intake and highest genetic antagonism between production and reproduction traits. It is suggested that feed intake capacity is a limiting factor for reproduction in line 04 and genetic antagonism between production and reproduction traits increases with reduction in feed intake.


2006 ◽  
Vol 22 (1-2) ◽  
pp. 97-108
Author(s):  
Milan Mijatovic ◽  
Milica Petrovic ◽  
Dragan Radojkovic ◽  
Milovan Pusic

The basic goal of these investigations was to reconsider the hypothesis that year is an important factor which statistically affects phenotypic variability of production traits registered in performance test under conditions of a central test station and make decision to include this effect in models for estimation of phenotypic and genetic parameters which are needed for the genetic evaluation. The investigations were carried out over a seven year period (from 1995 to 2001) in the Station for testing of production capacities of swine at Agricultural Corporation "Beograd" in Padinska Skela. The examinations included a total of 738 tested animals of following breeds: Swedish Landrace, Large White and Hampshire. All three breeds were analyzed together because number of tested boars of Swedish Landrace and Hampshire breed was too small in comparison to the Large White breed. The least squares method was used to test the significance of the effects of year on variability of production traits. Test of significance showed that the year at the start of the test influenced (P<0.001) all feed efficiency traits and all growth traits except test duration and average daily gain. The body composition traits were significantly influenced (P<0.01 and P<0.001) by year except muscle depth. However, it was not expected that the body weight at the start of the test and at the end of the test was influenced (P<0.05 and P<0.001) by year at the start of the test. The weight at the start and at the end of the test must stay within strict limits proposed by the testing rules. These investigations showed that effect of year should be included in the models that are used to estimate of phenotypic and genetic parameters which are needed for the genetic evaluation of boars tested under conditions of the central station.


1982 ◽  
Vol 62 (3) ◽  
pp. 665-670 ◽  
Author(s):  
D. C. JEFFRIES ◽  
R. G. PETERSON

Genetic parameters were estimated for 2403 purebred Yorkshire pigs over a 2-yr period, representing 21 sires. The traits studied included average daily gain, age adjusted to 90 kg, ultrasonic measurements of backfat at the mid-back and loin positions, total and adjusted total ultrasonic backfat and corresponding carcass backfat measurements. Least squares analyses were used to estimate and adjust for the effects of sex, year-season and sex by year-season interaction. Heritabilities and genetic correlations were calculated for all traits using both half- and full-sib estimates. Adjusted age and adjusted total ultrasonic backfat measurements were found to have the highest heritabilities of the live traits in this study. Estimates of heritability for adjusted age and adjusted total ultrasonic backfat were 0.24 ± 0.10 and 0.26 ± 0.10 based on half-sib and 0.56 ± 0.07 and 0.41 ± 0.06 from full-sib analyses. The genetic correlation between these two traits was −0.07 ± 0.28 based on the half-sib method. The total phenotypic correlation was −0.01 ± 0.02. Key words: Swine, ultrasonic backfat, heritabilities, genetic correlations


2000 ◽  
Vol 43 (3) ◽  
pp. 287-298
Author(s):  
J. Bizelis ◽  
A. Kominakis ◽  
E. Rogdakis ◽  
F. Georgadopoulou

Abstract. Production and reproduetive traits in Danish Landrace (LD) and Large White (LW) swine were analysed by restricted maximum likelihood methods to obtain heritabilities as well as genetic and phenotypic correlations. Production traits were: age, backfat thickness (BT), muscle depth (MD) and the ratio BT/MD, adjusted to Standard bodyweight of 85 kg. Reproduction traits were: number of pigs born (NB) and number of pigs weaned (NW) per sow and parity. Heritabilities for age, BT, MD and BT/MD were 0.60, 0.44, 0.51 and 0.42 for LD and 0.36, 0.44, 0.37 and 0.45 for LW, respectively. Genetic correlations between age and BT were −0.22 in LD and – 0.44 in LW. The genetic correlation between age and MD was close to zero in both breeds. Genetic correlation between BT and MD were −0.36 and −0.25 in LD and LW, respectively. Heritabilities for NB were 0.25 in LD and 0.13 in LW while heritabilities for NW were close to zero in both breeds. Genetic correlation between NB and NW was 0.46 and 0.70 in LD and LW, respectively.


2019 ◽  
Vol 97 (Supplement_3) ◽  
pp. 42-42
Author(s):  
Breno Fragomeni ◽  
Zulma Vitezica ◽  
Justine Liu ◽  
Yijian Huang ◽  
Kent Gray ◽  
...  

Abstract The objective of this study was to implement a multi-trait genomic evaluation for maternal and growth traits in a swine population. Phenotypes for preweaning mortality, litter size, weaning weight, and average daily gain were available for 282K Large White pigs. The pedigree included 314k individuals, of which 35,731 were genotyped for 45K SNPs. Variance components were estimated in a multi-trait animal model without genomic information by AIREMLF90. Genomic breeding values were estimated using the genomic information by single-step GBLUP. The algorithm for proven and young (APY) was used to reduce computing time. Genetic correlation between proportion and the total number of preweaning deaths was 0.95. A strong, positive genetic correlation was also observed between weaning weight and average daily gain (r = 0.94). Conversely, the genetic correlations between mortality and growth traits were negative, with an average of -0.7. To avoid computations by expensive threshold models, preweaning mortality was transformed from a binary trait to two linear dam traits: proportion and a total number of piglets dead before weaning. Because of the high genetic correlations within groups of traits, inclusion of only one growth and one mortality trait in the model decreases computing time and allows for the inclusion of other traits. Reduction in computing time for the evaluation using APY was up to 20x, and no differences in EPD ranking were observed. The algorithm for proven and young improves the efficiency of genomic evaluation in swine without harming the quality of predictions. For this population, a binary trait of mortality can be replaced by a linear trait of the dam, resulting in a similar ranking for the selection candidates.


2020 ◽  
Vol 60 ◽  
pp. 5-11
Author(s):  
I. V. Verbuch ◽  
H. V. Bratkovska

Goal. To accelerate the selection process and create populations of pigs with high level of productivity to assess the most effective modern methods breeding value of large white pigs in the SE "DG" Pasichna "Institute of Feed and Agriculture Podillya NAAS" Starosinyavsky district of Khmelnytsky region on the basis of a combined assessment of repair young for their own productivity and assessment meat qualities by MD Berezovsky and B. Tyler and the most promising method BLUP. Methods. Comparison, zootechnical and biometric analyzes. Results. The breeding value of pigs of large white breed of the breeding farm of SE "Pasichna" ICSGP NAAS "Starosinyavsky district of Khmelnytsky region by modern effective methods, namely: BLUP. According to the average indicators of the combined assessment of own productivity of animals at control fattening, taking into account their live weight on the date of birth and weaning, average daily gain, live weight and age of 100 kg, body length and fat thickness, boars significantly outweighed pigs. Compared with pigs, their live weight at the date of birth and weaning (at the age of 30 days) was higher by 0.1 and 0.81 kg. The age of reaching a live weight of 100 kg exceeded by 5.43 days, the average daily gain of 0.016 kg. Live weight and body length of pigs on the date of fat thickness measurement was greater by 4.04 kg and 1.03 cm. Lifetime fat thickness at three measurement points at the level of 6–7 thoracic vertebrae, on the buttocks and in the midpoint of the back between withers and buttocks was thinner by 0.92; 0.94 and 1.06 mm. Evaluation indices of fattening and meat qualities by growth energy and fat thickness (Ia) and average daily gain and fat thickness (Iv) in boars indicate their higher level by 2.07 and 7.67 points compared to pigs and are equal to, respectively, 95.12 ± 1.95 and 152.96 ± 2.38 points. The coefficient of variability (Cv, %) of indicators of own productivity and estimated indices of fattening and meat qualities of repair boars ranged from 1.92% (body length on the date of fat thickness measurement, cm) to 15.12% (age of live weight 100 kg, days), repair pigs – from 4.63% (body length on the date of fat thickness measurement, cm) to 28.19% (index of assessment for growth energy and fat thickness, (Ia), points). The best average values of indicators of breeding value of animals are found on the basis of modern, most promising method BLUP, because it is considered in terms of mathematics, statistics and selection is the most accurate, well-founded, has the best theoretical basis and the lowest error variance. The average value of the BLUP index (parent lines) for boars of large white breed is 101.71 ± 1.681, pigs – 96.94 ± 0.724 points. At the same time, boars outweighed pigs by 4.77 points. The most positive correlation between live weight of piglets at weaning with their body length (r = 0.16), average daily gain (r = 0.19) and fat thickness (r = 0.24), the average correlation between the indices of fattening and meat qualities according to MD Berezovsky and B. Tyler (r = 0.56) P > 0.99 and the weak correlation between live weight of piglets at weaning and the BLUR index (r = 0,21) P > 0.99. It should be noted that there are almost no correlations between the fattening and meat quality indices of pigs and the BLUP index. Conclusions. In the conditions of breeding and specialized farms for the production of commercial pork in the region, to determine the breeding value of animals for further reproduction of their own herd and sale to other breeding farms of Ukraine, to systematically assess repair young animals for their own productivity and clear qualities of pigs and the most perfect BLUP index.


2012 ◽  
Vol 55 (6) ◽  
pp. 603-611 ◽  
Author(s):  
F. Ghafouri-Kesbi ◽  
H. Baneh

Abstract. The aim of the present study was to estimate (co)variance components and corresponding genetic parameters for birth weight (BW), weaning weight (WW), 6-month weight (W6), 9-month weight (W9), average daily gain from birth to weaning (WWDG), average daily gain from weaning to 6 months (W6DG) and average daily gain from 6 months to 9 months (W9DG) for a nucleus flock of Iranian Makooei sheep. Genetic parameters were estimated by REML procedure fitting six animal models including various combinations of maternal effects. The Akaike information criterion (AIC) was used to determine the most appropriate model. Estimates of direct heritability (h2) ranged from 0.13 (W6DG) to 0.32 (BW). Maternal effects were found to be important in the growth performance of the Makooei sheep, indicating the necessity of including maternal effects in the model to obtain accurate estimates of direct heritability. Estimates of maternal heritability (m2) ranged from 0.05 (W6) to 0.16 (WWDG) and the estimates of proportion of maternal permanent environmental variance to phenotypic variance (c2) were in the range between 0.05 (BW) and 0.10 (W6). Direct additive genetic correlations were positive in all cases and ranged from 0.00 (BW/W9DG) to 0.99 (WW/WWDG). Phenotypic correlations showed a broad range from −0.27 (WW/W9DG) to 0.99 (WW/WWDG). Estimates of genetic parameters showed that genetic improvement through selection programs is possible. WW would be a suitable selection criterion since it has acceptable direct heritability and relatively high genetic correlation with other traits.


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