Animal Welfare Information Center Newsletter, Winter 1995/1996, Vol. 6 No. 2-4 *************************

Selection for Improved Efficiency of Lean Gain in Mice: Population and Procedures

by
R. B. Holder and W. R. Lamberson,
Department of Animal Sciences, University of Missouri, Columbia, Missouri


Introduction

Cost of feed for the slaughter animal accounts for about 45 percent of the total costs of producing lean tissue from the swine herd. It represents the greatest single economic input in swine production (9). Efficiency of feed utilization and percentage lean in the carcass are traits over which there is substantial genetic control (2,7). Improvement of feed conversion to lean by 5 percent would be expected to decrease the cost of producing a slaughter pig by nearly $2. Direct emphasis on the trait in selection programs has been limited because of difficulty in making individual measurements of feed intake and lean percentage. In addition, selection on a trait defined as a ratio (feed/lean gain) may not yield optimum response in the components (3). In past studies in which feed:gain ratio was a selection criterion, improvement in efficiency of feed utilization resulted from decreased intake with little, if any, improvement in lean gain. Decreased feed consumption limits overall productivity of the animals and may also limit long-term response to selection.

Laboratory animals have often been used as a model species for genetic studies of swine because of their relatively low cost and rapid generation turnover (5). Previous studies of selection for lean efficiency in laboratory animals have relied on family selection because of lack of an efficient method of estimating body composition of the live animal (6). Advances in technology for estimating body composition have yielded an accurate method that can be applied to the live animal (10). Measurement of total body electrical conductivity (TOBEC) allows prediction of fat-free mass that is highly correlated to chemical composition. Individually caging mice allows measurement of feed intake. The objective of this study is to compare alternatives to selection on the ratio of lean gain/feed intake on improvement of efficiency of lean tissue deposition in mice.

Materials and Methods

Population

Experimental animals are outbred mice of the CF1 strain. Outbred lines of mice are generally comparable to breeds of livestock. The base population was produced by reciprocally mating CF1 males and females obtained from two commercial sources. One generation of random mating was practiced before selection was initiated. Two replicates of five selection lines are included in the experiment. Each line consists of 12 litters per generation resulting from pair matings. Animals are mated at approximately 60 days of age. Four generations are expected to be produced per year.

Figure 1.  TOBEC instrument
Figure 1. An anesthetized mouse is inserted into the
TOBEC instrument for measurement of electrical conductivity
subsequently used to predict fat-free mass.

Experimental animals are reared in litters standardized to four male and four female pups. Number born, number weaned, litter birth weight, and litter weaning weight are recorded. Litters are weaned at 21 days of age and pups weighed. At 25 days of age, mice are again weighed and placed in individual cages, and recording of feed intake is initiated. Body weights and feed intake are recorded at 31, 37, and 42 days of age. Intake is defined as weight of feed placed in the cage minus that present in the cage at the end of the recording period. Animals are fed daily an amount expected to slightly exceed that consumed. At 45 days of age, mice are weighed and anesthetized by intraperitoneal injection of 0.015 ml of 2.5 percent Avertin (4) per gram of body weight. An EM-SCAN SA-2 instrument (EM-SCAN, Inc., Springfield, IL; see sidebar) is used to obtain a measure of conductivity (E) in triplicate (fig. 1). The mean of the three measures is calculated and fat- free mass (FFM) estimated by using the equation: FFM = -3.732 + 0.578 body weight + 2.967 E0.5. Previous calibration of the instrument has yielded an R2 of 0.97 between the TOBEC-estimated fat-free mass and chemical composition. The relationship of predicted FFM and chemical composition of 79 male and female mice is shown in figure 2.

Figure 2.  Fat-Free mass predicted with the use of 
 TOBEC plotted against actual fat-free mass.
Figure 2. Fat-Free mass predicted with the use of TOBEC plotted against actual fat-free mass.

All mice have ad libitum access to a pelleted diet (23 percent crude protein and 4.5 percent fat; Lab Diet 5001, PMI Feeds, Inc., St. Louis, Missouri) and distilled water. From day 17 of pregnancy until litters are weaned, females are housed in polycarbonate cages measuring 28 x 17 x 12 cm. Litters remain in these cages until 25 days of age. During the test period, mice are individually housed in stainless steel hanging wire cages measuring 24 x 10 x 13 cm. Animal rooms are maintained at 22° C +/- 2° C with a relative humidity of 50 +/- 10 percent. The light cycle is 12 hours light:12 hours dark.

Selection Criteria

Five lines are included in the selection experiment. A line in which a male and female are selected at random from each litter serves as a negative control. This line serves to measure fluctuations and trends in the environment. A line in which the selection criterion is weight of FFM gained divided by feed disappearance (intake) between 25 and 42 days of age (gain/feed) is the positive control line. This selection criterion represents the standard criterion from past experiments. Three experimental criteria represent alternatives to selection on the gain/feed ratio. The first is intake deviation. Animals selected on this criterion are those with the greatest negative deviation from the regression line of intake on gain of FFM. This is equivalent to selection on least intake after adjustment to a constant gain of FFM. This criterion has been used for selection in the commercial poultry industry. The second experimental criterion is gain deviation. Animals selected on this criterion are those with the greatest positive deviation from the regression line of gain of FFM on intake. This is equivalent to selection on greatest gain of FFM after adjustment to a constant intake. The final criterion is denoted intrinsic efficiency (8). It is similar to intake deviation except that adjustment is also made for average FFM maintained.

Two replicates of each of the proposed criteria are included in the experiment. Selection will be practiced for six generations. Direct and correlated responses to selection will be measured as regressions of line-generation means calculated as deviations from controls on generation. Replication of lines allows tests of significance to be performed using empirical standard errors. Realized heritabilities and genetic correlations will be estimated by regression of cumulative response on cumulative selection differentials. Of particular interest is correlated response in feed consumption.

Table 1. Correlations between experimental selection criteria and components of efficiency of lean gain.
VariableIntakeGain/feedResidual
gain
Residual
intake
Intrinsic
efficiency
Gain0.100.900.850.000.00
Intake  -0.350.000.900.90
Gain/feed    0.80-0.40-0.40
Residual gain      0.000.00
Residual intake        0.96

Results

Selection on any of the four positive selection criteria described above would be expected to improve efficiency of feed utilization by either increasing gain, decreasing intake, or a combination of both. To determine the similarities among the criteria, phenotypic correlations were calculated between selection criteria and values rounded to the nearest 0.05 (table 1).

These correlations demonstrate the similarities and differences among the selection criteria. In this population, gain is more closely related to gain/feed than is intake. Residual intake and intrinsic efficiency differ only by the adjustment for average weight maintained in intrinsic efficiency, and the correlation between these criteria is high. Since both use intake after adjustment to a common gain as part of the criterion, the correlation of each with gain is near zero and their correlation with intake is high. Conversely, the correlation of residual gain with intake is zero as it uses gain adjusted to a common intake as the selection criterion. Its correlation with gain is high.

Table 2. Descriptive statistics and standardized selection differentials by sex and line for generations one and two of selection.
Generation 1
 MeanStandard deviationSelection differential
LineFemaleMaleFemaleMaleFemaleMale
Gain/feed0.080.100.040.040.650.13
Residual gain7.910.32.43.10.500.44
Residual intake108.1116.527.826.70.620.62
Intrinsic efficiency112.4118.321.523.10.510.54
Generation 2
Gain/feed0.090.120.040.031.030.96
Residual gain9.212.73.02.21.301.39
Residual intake98.0103.013.014.81.251.14
Intrinsic efficiency96.8102.811.511.71.031.12

Descriptive statistics and standardized selection differentials of the four selected lines for generations 1 and 2 are presented in table 2. Standardized selection differentials tend to be similar within generation and depend primarily on reproductive rate. Low reproductive rate in generation 1 compared to that in generation 2 resulted in lower selection differentials. The expected selection differentials are expected to be about 1.25 standard deviations (1).

Summary

Efficiency of lean gain is a trait of great economic importance to the livestock industry. Efforts to improve this trait by genetic selection have been hampered by difficulty in measuring its components --feed intake and lean gain--and have required inefficient family selection procedures. Recent improvements in technology for measuring body composition no longer require sacrifice of the animal to determine lean content. Use of TOBEC allows rapid determination of fat-free mass of an animal that can later be used for breeding. Alternative methods of individual selection for improving efficiency of lean gain are evaluated using mice as models for the livestock industry.

References

  1. Becker, W. A. (1984). Manual of Quantitative Genetics. Academic Enterprises: Pullman, WA.

  2. Bereskin, B. (1990) Genetic Parameters for Feed Efficiency. In Genetics of Swine, L. D. Young, ed., U. S. Meat Animal Research Center: Clay Center, NE, pp. 80-85.

  3. Gunsett., F. C. (1984). Linear index selection to improve traits defined as a ratio. Journal of Animal Science 59(5):1185.

  4. Hogan, B., F. Constantini, and E. Lacy (1986). Manipulating the Mouse Embryo. Cold Spring Harbor Laboratory: Cold Spring Harbor, New York.

  5. McCarthy, J. C. (1982). The laboratory mouse as a model for animal breeding: A review of selection for increased body weight and litter size. In Proceedings of the 2nd World Congress on Genetics Applied to Livestock Production, C. L. deCuenca, ed., Vol. V:66, Madrid.

  6. Notter., D. R., G. E. Dickerson, and J. A. DeShazer (1976). Selection for rate and efficiency of lean gain in the rat. Genetics 84(1):125-144.

  7. Stewart, T. S. and A. P. Schinckel (1990). Genetic Parameters for Swine Growth and Carcass Traits. In Genetics of Swine, L.D. Young, ed., U. S. Meat Animal Research Center, Clay Center, NE, pp.77-79.

  8. Taylor, St. C. S. and G. B. Young (1964). Variation in growth and efficiency in twin calves. Journal of Agricultural Science 62:225-236.

  9. Tess, M. W., G. L. Bennett, and G. E. Dickerson (1983). Simulation of genetic changes in life cycle efficiency of pork production. 11. Effects of components on efficiency. Journal of Animal Science 56:354-368.

  10. Walsberg, G. E. (1988). Evaluation of a nondestructive method for determining fat stores in small birds and mammals. Physiological Zoology 61(2):153-159.


This article appeared in the Animal Welfare Information Center Newsletter, Volume 6, Number 2-4, Winter 1995/1996

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