J. Anim Sci.
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hamilton, D. N.
Right arrow Articles by Wilson, E. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hamilton, D. N.
Right arrow Articles by Wilson, E. R.
J. Anim. Sci. 2003. 81:1126-1135
© 2003 American Society of Animal Science

The growth performance of the progeny of two swine sire lines reared under different floor space allowances

D. N. Hamilton1, M. Ellis*,1, B. F. Wolter*, A. P. Schinckel{dagger} and E. R. Wilson{ddagger}

* Department of Animal Sciences, University of Illinois, Urbana 61801; and {dagger} Department of Animal Sciences, Purdue University, West Lafayette, IN 47907; and and {ddagger} PIC USA, Franklin, KY 42134

1 Correspondence:
216 Animal Sciences Laboratory, 1207 W. Gregory Dr. (phone: 217-333-6455; fax: 217-333-7861; E-mail:
m-ellis7{at}uiuc.edu).


    Abstract
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Implications
 Literature Cited
 
A total of 736 pigs was used in a study with a 2 x 2 x 2 factorial arrangement to investigate the effects of and interactions between sire line (Line A vs. B), floor space (unrestricted vs. restricted), and gender (barrow vs. gilt) on growth performance, BW, and protein and estimated lipid accretion curves from 40 to 120 kg of BW. Pigs were by eight Line-A and nine Line-B sires mated with PIC C22 dams. Line A was of Pietrain ancestry and Line B was a synthetic line. The unrestricted floor space treatment consisted of small groups (four pigs) with 0.93 m2/pig of floor space for the entire grow-finish period. Pigs in the restricted floor space were in larger groups (12 pigs) with 0.37 and 0.56 m2/pig of floor space for the grower and finisher phases, respectively. Pigs were given ad libitum access to a three-phase dietary program, and one and three nipple waterers were available in the groups of 4 and 12 pigs, respectively. No sire line x floor space interactions were found for any of the traits measured. Line A pigs grew more slowly (50 g/d, P < 0.05), took longer (4.1 d, P < 0.05) to reach harvest weight (120.3 kg), and had similar feed intakes, but a lower gain:feed ratio (2.8%, P < 0.05) than Line B pigs. Line A pigs had greater longissimus muscle depth (P < 0.05) and estimated protein accretion rate (P < 0.05) than Line B pigs, but Line A and Line B pigs had a similar estimated percentage of lipid-free soft tissue. Pigs reared in the restricted floor space grew more slowly (105 g/d, P < 0.05) and consumed less feed (280 g/d, P < 0.05) but had a similar (P > 0.05) gain:feed ratio to pigs reared in the unrestricted floor space. Pigs reared in the unrestricted floor space had greater (P < 0.05) predicted protein and lipid accretion rates throughout the growth period than pigs reared in the restricted floor space. Differences between genders for growth traits and carcass measurements were in agreement with previous research. The differences in growth performance, carcass measures, and compositional growth curves between these two sire lines were similar in the two floor spaces.

Key Words: Floor Space • Growth • Pigs • Sires


    Introduction
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Implications
 Literature Cited
 
Many studies have reported differences in growth and carcass characteristics between breeds and lines of pigs. Also, the environment in which the animal is reared, including factors such as group size and floor space allowance, influences feed intake and growth rate (Edmonds et al., 1998; Hyun et al., 1998). A number of studies have investigated the effects of various genetic lines reared at several test stations and reported the occurrence of genotype x environment interactions in swine populations (Merks, 1989; Bidanel and Ducos, 1996). However, there is limited information on the impact of a controlled rearing environment on the relative performance of contemporary genetic lines of differing growth potential. If commercially important genotype x environment interactions do exist, then this would have major implications for swine producers when selecting genetic lines for their specific operation. The objective of this study was to investigate the interaction between genetic growth potential and space allowance in growing-finishing pigs.


    Materials and Methods
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Implications
 Literature Cited
 
The protocol for this study was approved by the University of Illinois Laboratory Animal Care Committee.

Experimental Design and Treatments
The treatments were arranged in a 2 x 2 x 2 factorial consisting of two sire lines, two floor spaces, and two genders. Sire lines were a Pietrain-based line (Line A) and a synthetic line comprised of Large White, Landrace, Duroc, and Pietrain (Line B) from the Pig Improvement Co. U.S.A. (Franklin, KY) chosen for this study to represent the range in growth rate among PIC sire lines (Miller et al., 2000). Pigs in the unrestricted floor space were in pens of four with floor space of 0.93 m2/pig for the entire period. Recommended floor space allowances for pigs of 45 to 68 kg and greater than 68 kg of BW are 0.56 and 0.74 m2/pig, respectively (Fritschen and Muehling, 1986). Pigs in the restricted floor space were in pens of 12 with floor space of 0.37 m2/pig from 40 to 80 kg of BW and 0.56 m2/pig from 80 to 120 kg of BW. The first replicate was conducted from June to September, the second from December to March, and the third from September to December. However, only pigs from the first and second replicates were utilized in the growth curve analysis.

Animals and Management
The pigs were the progeny of mating eight Line-A and nine Line-B sires with PIC Camborough 22 dams. A total of 92 pens (736 pigs) were placed on test from 40 to 120 kg of BW. These consisted of 32 pens in the first and second replicates and 28 pens in the third replicate, with 45 and 47 pens of Line A and B pigs, respectively, and 46 pens on both the restricted and unrestricted floor space. All lines used in this study were tested as free of the detrimental alleles of both the Halothane and RN genes. The study was conducted in a mechanically ventilated building at the University of Illinois Swine Research Center that had part-solid, part-slotted concrete floors. Pigs were housed in like-genotype, like-gender groups and were allocated to treatment on the basis of sire and BW. Progeny from a minimum of three sires were represented in each pen of pigs. At a mean pen BW of 80 kg, the restricted floor space pens were enlarged by widening the existing pen, keeping a constant ratio of solid to slotted floor.

Pigs were given ad libitum access to feed from a two-hole feeder and were fed on a three-phase dietary program formulated to meet or exceed NRC (1998) recommendations; diets were based on corn and soybean meal (Table 1Go). The first-phase diet was fed between 40 and 70 kg of BW and was formulated to supply 18.2% CP, 1.05% lysine, and 3,384 kcal of ME/kg. The second-phase diet was fed between 70 and 100 kg of BW and was formulated to supply 16.5% CP, 0.90% lysine, and 3,390 kcal of ME/kg. The third-phase diet was fed between 100 and 120 kg of BW and was formulated to supply 14.3% CP, 0.82% lysine, and 3,386 kcal of ME/kg.


View this table:
[in this window]
[in a new window]
 
Table 1. Diet compositiona
 
Measurements
Pigs were individually weighed every 14 d in the first and third replicates and every 21 d in the second replicate. In addition, animals were weighed weekly when the pen mean approached 80 kg for pen size adjustment for the restricted treatment and 120 kg, the end of test BW. The coefficient of variation for each pen was calculated at the start and end of the test to evaluate the treatment effects on live-weight variation. Feed additions were recorded and feeder weights taken at each weighing. The numbers of animals that either died or were removed during the test were recorded. Ultrasound scanning was performed on every pig at each weigh date using an Aloka model 500V B-mode scanner fitted with an Aloka 5011 probe (Corimetrics Medical Systems, Wallingford, CT), with the longitudinal image taken 7.5 cm anterior to the last rib and 5.5 cm off of the midline. From the ultrasound image, backfat and longissimus depth were measured automatically using the AUSkey AutoD automated measuring system (Animal Ultrasound Services, Inc., Ithaca, NY). Lipid-free soft tissue percentage was calculated at 120 kg of BW using the live weight, ultrasound measurements, and the following equation from Cisneros et al. (1996b):


Statistical Analysis.
Pen was used as the experimental unit for the growth data, which were analyzed using the GLM procedure of SAS (SAS Inst., Inc., Cary, NC). The model included the effects of sire line, floor space, gender, replicate, and all two- and three-way interactions. The residual mean square error was used as the error term to test the main effects and interactions. Means were evaluated using the PDIFF and STDERR options of SAS GLM.

The BW and compositional growth curve data were analyzed using the NLMIXED procedure of SAS. Body weight mass data were fitted to age using Bridges equation (Bridges et al., 1986; Craig and Schinckel, 2001):


where C equals an estimate of mature BW, WT equals BW minus birth weight (1.4 kg), t is days of age, M is the exponential growth decay constant, and A is the kinetic order. The exponential growth decay parameter was close to zero so the function was reparameterized:


where M' = ln M. The mixed model had the form:


where ci is the random effect for pig, and ci is assumed to be normal with mean 0 and variance {sigma}2c, and eit is assumed normal with mean 0 and variance {sigma}2e (Craig and Schinckel, 2001). The predicted BW of each pig was given using the pig specific ci and m'i values. The i values are for the individual pigs, and the individual pigs are nested within replicate. The mean predicted weights of each pig were predicted for each 18-d age period from 90 to 180 d of age. The predicted ADG for each pig for each age period was predicted from the pig-specific equations. These predicted values were analyzed by the PROC MIXED procedure of SAS with the observation of each 18-d age period as the repeated measure. The model included the random effect of replicate and fixed effects of line, gender, floor space, and their interactions. The model was fitted with a compound symmetry covariance structure.

Equations including BW, 10th rib backfat depth, and longissimus depth determined by ultrasound were used to predict empty body protein (EBP, kg) and empty body lipid (EBL, kg). Different equations were used to predict body composition at different weight ranges: 40 to 55, 55 to 80, 80 to 100, and 100 to 120 kg. These prediction equations were developed from two studies that used pigs of five genetic lines that were scanned serially and harvested (Thompson et al., 1996; Wagner et al., 1999). Predicted empty body mass data were fitted to allometric (EBP = aXb), augmented allometric [EBP = aXb(700 - X)c], and generalized nonlinear [(EBP = M[1 - exp(b0 + b1x + b2x2)] functions, where x is live weight and M is an estimate of mature body protein (Wagner et al., 1999). The generalized nonlinear function was solved by linearizing the function ln [1 - (EBP/M)] = b0 + b1x + b2x2 and identifying the value of predicted empty body protein mass (MTP: 20, 25, 30, or 35 kg) that resulted in the highest R2 values. These parameter values were used as initial values for an interactive solution by PROC NLIN in SAS. Predicted empty body lipid data were fitted to allometric, augmented allometric, and exponential (EBL = eb0 + b1x + b2x2 +b3x3) functions (x) of BW (Wagner et al., 1999). The b3 coefficient of the exponential function was deleted if P > 0.10. The R2 values were calculated as the squared correlation coefficient between the predicted (i) and the observed values (Yi) for each component. The residual standard deviation (RSD) for all functions was calculated, and the equations with the lowest RSD were used to calculate their respective curves. The RSD was calculated by the equation:


where ei is the residual value for the ith observation, n = number of observations, and p = the degrees of freedom of the equation. For almost all cases, generalized nonlinear (empty body protein) and exponential (empty body lipid) functions minimized the RSD values; as a result, these equations were used for all curves. Daily gain and protein and lipid accretion relative to BW gain were determined by the derivative of each function. Average daily gain was determined by ADG = {partial}LW/{partial}T. Daily protein accretion and lipid accretion rates were determined by {partial}C/{partial}T = [({partial}C/{partial}LW) x ({partial}LW/{partial}T)] (Schinckel and de Lange, 1996), where C is the body component mass, T is the time, and LW is the live weight.


    Results and Discussion
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Implications
 Literature Cited
 
The effects of sire line, floor space, and gender on pig mortality, number of pigs removed from test, growth, and carcass characteristics are summarized in Tables 2 and 3GoGo. The predicted BW and ADG for the modified Bridges equations are in Table 4, and the predicted BW, ADG, empty-body protein accretion, and empty-body lipid accretion curves are in Figures 1 to 3GoGoGo, respectively. There were replicate x treatment interactions (P < 0.05) for a limited number of traits, including a replicate x sire line interaction for ADG in Phase 1, a replicate x floor space interaction for overall ADG and gain:feed, and a replicate x gender interaction for gain:feed in Phase 2. However, these interactions were of limited practical significance since they generally involved relatively small changes in the magnitude of the treatment differences and did not influence the interpretation of the results, and, therefore, are not reported here.


View this table:
[in this window]
[in a new window]
 
Table 2. Least square means for the effects of genetic line, floor space, and gender on body weight, coefficient of variation in weights, mortality, and morbidity
 

View this table:
[in this window]
[in a new window]
 
Table 3. Least squares means for the effects of genetic line, floor space, and gender on growth performance
 


View larger version (20K):
[in this window]
[in a new window]
 
Figure 1. a) Prediction of body weight from days of age for sire line; b) average daily gain prediction for sire line; c) daily empty-body protein accretion rate for sire line; d) daily empty-body lipid accretion rate for sire line.

 


View larger version (22K):
[in this window]
[in a new window]
 
Figure 2. a) Prediction of body weight from days of age for floor space; b) average daily gain prediction for floor space; c) daily empty-body protein accretion rate for floor space; d) daily empty-body lipid accretion rate for floor space.

 


View larger version (22K):
[in this window]
[in a new window]
 
Figure 3. a) Prediction of body weight from days of age for gender; b) average daily gain prediction for gender; c) daily empty-body protein accretion rate for gender; d) daily empty-body lipid accretion rate for gender.

 
Effect of Sire Line
No difference (P > 0.05) in the coefficient of variation of end weight was found between the two lines (Table 2Go). There was a trend (P = 0.08) for the removal rate owing to morbidity and mortality to be higher for Line-B pigs than for Line-A animals. Line-A animals grew more slowly (P < 0.05) during Phase 2 (80 to 120 kg) and during the overall test period, and they required more days to reach harvest weight than did Line-B pigs (Table 3Go). Line-B pigs had a higher daily feed intake (P < 0.05) than did Line-A pigs during Phase 2, but not during Phase 1 or the overall period; however, gain:feed was lower (P < 0.05) for Line-A pigs during Phase 1 and the overall test period (Table 3Go). In addition, Line-A pigs had greater loin depths (P < 0.05), and similar fat depth and predicted lipid-free soft tissue lean percentage than did Line-B pigs (Table 3Go). Line A was a Pietrain-based line, and studies conducted with lines based on this breed have generally shown slower growth, poorer feed efficiency, and leaner carcasses than other conventional breeds (Howard and Smith, 1977; Labroue et al., 1999).

There were significant (P < 0.001) line x age period, line x floor space x age period, and line x floor space x gender x age period interactions for predicted BW and ADG (Table 4). These interactions between age period and the main effects indicate that the shape of the curve changed over time and was different with respect to sire line. The relationship of predicted ADG curves to BW (Figure 1bGo) were similar for the two lines and showed a similar pattern to other studies (Schinckel and de Lange, 1996; Smith et al., 2002), increasing to approximately 80 kg of BW, and then remaining relatively constant thereafter. Predicted BW and ADG were higher for Line-B vs. Line-A pigs throughout the growth period (Figures 1a and bGo). Line-B pigs had greater predicted protein accretion (Figure 1cGo) throughout the trial than did Line-A pigs. Protein accretion rate had a curvilinear response, with rates increasing to a maximum at approximately 75 kg and subsequently decreasing, similar to other studies (Schinckel et al., 1996; 2002; Schinckel and de Lange, 1996). In contrast, lipid accretion rates were relatively similar for the two sire lines (Figure 1dGo). Thus, the compositional growth curves highlight that the differences in growth performance between these two lines resulted largely from the greater protein accretion rate of Line B than Line A, with little difference between the lines for lipid deposition rate.

Effect of Floor Space
Floor space did not affect the coefficient of variation of BW at the end of the study (Table 2Go). There was a trend (P = 0.08) for the removal rate owing to morbidity and mortality to be higher for pigs reared in the restricted than the unrestricted floor space. A number of studies have shown that morbidity levels increase with a decrease in floor space and/or an increase in group size (McGlone and Newby, 1994; Brumm and Miller, 1996; Wolter et al., 2002), whereas others have shown limited effects of crowding on these measures (Brumm et al., 2001; Wolter et al., 2002). Pigs in the restricted floor space had lower (P < 0.05) ADG and ADFI during Phase 1 (122 and 212 g/d, respectively) and Phase 2 (91 and 347 g/d, respectively) and the overall test period (106 and 280 g/d, respectively) than pigs reared in the unrestricted floor space (Table 3Go). The gain:feed ratio was also lower (P < 0.05) for the pigs in the restricted floor space during Phase 1 and the overall test period, but did not differ between the floor spaces during Phase 2 (Table 3Go). This decrease in growth performance was likely the result of the combination of decreased floor space and group size. A number of studies have shown that a decrease in floor space allowance results in a decrease in ADG and ADFI, with little effect on feed efficiency (NCR-89, 1993; McGlone and Newby, 1994; Brumm and Miller, 1996). Gonyou and Stricklin (1998) reported a decrease in performance with increasing group size from 3 to 15 pigs/pen and Petherick et al. (1989) also found lower ADG, ADFI, and gain:feed for pigs stocked at 36 pigs/pen than those stocked at 6 or 8 pigs/pen. In contrast, Randolph et al. (1981) and McGlone and Newby (1994) reported no effect on growth in group sizes from 5 to 40 pigs.

There were significant (P < 0.001) floor space x age period, line x floor space x age period, and line x floor space x gender x age period interactions for predicted BW and ADG (Table 4). The interactions between floor space, age period, and gender indicate that the effects of crowding were different over time. More specifically, the effects of the restricted floor space increased as age and weight of the pig increased. Predicted BW (Figure 2aGo), ADG (Figure 2bGo), and protein accretion rate curves (Figure 2cGo) were greater over the entire test period for pigs reared in unrestricted vs. restricted floor space. In addition, predicted lipid accretion rate (Figure 2dGo) was greater for pigs reared in the unrestricted floor space. Lipid accretion rates increased linearly with BW with the difference between the two floor spaces increasing at heavier weights. Holck et al. (1997) also found that lipid accretion rate increased as pigs became heavier, and that pigs reared in an unrestricted floor space deposited lipid at a higher rate than pigs reared in a more restricted floor space. The higher lipid accretion of pigs reared in the unrestricted floor space is due to their higher feed intake, which, when in excess of the energy requirement for protein deposition and maximal lean gain, results in increased ratio of lipid accretion:protein accretion (Schinckel, 1999).

Effect of Gender
Gilts had less (P < 0.05) variation in BW at the end of the study than did barrows (Table 2Go). There was a trend for more barrows than gilts to be removed from test (P < 0.05), a result that has not been reported elsewhere. Barrows grew faster (P < 0.05) during Phase 2 and the entire test period, consumed more feed (P < 0.05), and had poorer feed efficiency (P < 0.05) than did gilts (Table 3Go). Gilts had less (P < 0.05) backfat, greater longissimus depth, and a higher predicted lipid-free soft tissue percentage than did barrows (Table 3Go). These results are in agreement with others that have compared barrows and gilts over the weight ranges used in this study (Cisneros et al., 1996a; Ellis et al., 1996).

There were significant (P < 0.001) gender x age period, floor space x gender x age period, and line x floor space x gender x age period interactions for predicted BW and ADG (Table 4). The floor space x gender x age period interaction indicates that the difference in predicted ADG for barrows was relatively constant between the two floor spaces for each age period, but the difference in ADG between the two floor spaces for each age period increased for gilts. Predicted ADG was greater for barrows than gilts, with the difference tending to decrease at heavier weights (Figure 3bGo). Predicted protein accretion rate curves for barrows and gilts were curvilinear (Figure 3cGo). Protein accretion rate for barrows peaked at approximately 75 kg of BW, whereas the peak for gilts occurred at approximately 85 kg of BW and the rate tended to decline more slowly for gilts than barrows. Predicted lipid accretion was similar for both genders until approximately 65 kg of BW, when barrows began depositing lipid at a higher rate than gilts (Figure 3dGo). Schinckel et al. (2002) also found that barrows deposited lipid at a higher rate than gilts as BW increased.

Gender and sire line x floor space interactions were not significant (P > 0.05) for any trait. However, a number of other studies have investigated the effects of various genetic lines reared at several test stations and reported the occurrence of genotype x environment interactions in swine populations (Merks, 1989; Bidanel and Ducos, 1996). Research involving more diverse genetic lines and a wider range of environments than those used in the present study is required to establish the extent of genotype x environment interactions on commercial operations.


    Implications
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Implications
 Literature Cited
 
The major effects of sire line and, in particular, floor space found in this study emphasize the importance of these two factors in determining growth performance. The absence of any sire line x floor space interactions suggests that the relative performance of the progeny of the two lines evaluated would be similar across the range of floor-space allowances likely to be encountered in practice.


View this table:
[in this window]
[in a new window]
 
Table 4. Least squares means for the effects of genetic line, floor space, and gender on predicted body weight, average daily gain, and days to 120 kg based on serial growth data from 90 to 180 d of age
 

Received for publication June 4, 2002. Accepted for publication January 20, 2003.


    Literature Cited
 Top
 Abstract
 Introduction
 Materials and Methods
 Results and Discussion
 Implications
 Literature Cited
 


Bidanel, J. P., and A. Ducos. 1996. Genetic correlations between test station and on-farm performance traits in Large White and French Landrace pig breeds. Livest. Prod. Sci. 40:303–312.

Bridges, T. C., U. W. Turner, E. M. Smith, T. S. Stahly, and O. J. Loewer. 1986. A mathematical procedure for estimating animal growth and body composition. Trans. Am. Soc. Agric. Eng. 29:1342–1347.

Brumm, M. C., M. Ellis, L. J. Johnson, D. W. Rozeboom, D. R. Zimmerman, and the NCR-89 Committee on Swine Management. 2001. Interaction of swine nursery and grow-finish space allocations on performance. J. Anim. Sci. 79:1967–1972.[Abstract/Free Full Text]

Brumm, M. C., and P. S. Miller. 1996. Response of pigs to space allocation and diets varying in nutrient density. J. Anim. Sci. 74:2730–2737.[Abstract]

Cisneros, F., M. Ellis, F. K. McKeith, J. McCaw, and R. L. Fernando. 1996a. Influence of slaughter weight on growth and carcass characteristics, commercial cutting and curing yields, and meat quality of barrows and gilts from two genotypes. J. Anim. Sci. 74:925–933.[Abstract]

Cisneros, F., M. Ellis, K. D. Miller, J. Novakofski, E. R. Wilson, and F. K. McKeith. 1996b. Comparison of transverse and longitudinal real-time ultrasound scans for prediction of lean cut yields and fat-free lean in live pigs. J. Anim. Sci. 74:2566–2576.[Abstract]

Craig, B. A., and A. P. Schinckel. 2001. Nonlinear mixed effects model for swine growth. Prof. Anim. Sci. 17:256–260.[Abstract/Free Full Text]

Edmonds, M. S., B. E. Arentson, and G. A. Mente. 1998. Effect of protein levels and space allocations on performace of growing-finishing pigs. J. Anim. Sci. 76:814–821.[Abstract/Free Full Text]

Ellis, M., A. J. Webb, P. J. Avery, and I. Brown. 1996. The influence of terminal sire genotype, sex, slaughter weight, feeding regime, and slaughter-house on growth performance and carcass and meat quality in pigs and on the organoleptic properties of fresh pork. Anim. Sci. 65:521–530.

Fritschen, R. D., and A. J. Muehling. 1986. Space requirements for swine. Pork Industry Handbook No. 55. West Lafayette, IN.

Gonyou, H. W., and W. R. Strickland. 1998. Effects of floor area allowance and group size on the productivity of growing/finishing pigs. J. Anim. Sci. 76:1326–1330.[Abstract/Free Full Text]

Holck, J. T., A. P. Schinckel, J. L. Coleman, V. M. Wilt, E. L. Thacker, M. Spurlock, A. L. Grant, P. V. Malven, M. K. Senn, and B. J. Thacker. 1997. Environmental effects on growth of finisher pigs. J. Anim. Sci. 75(Suppl. 1):246. (Abstr.)

Howard, A. N., and W. C. Smith. 1977. A note on purebred performance of Belgian Pietrain pigs. Anim. Prod. 25:255–258.

Hyun, Y., M. Ellis, G. Riskowski, and R. W. Johnson. 1998. Growth performance of pigs subjected to multiple concurrent environmental stressors. J. Anim. Sci. 76:721–727.[Abstract/Free Full Text]

Kuhlers, D. L., S. B. Jungst, and J. D. Chandler Jr. 1981. Estimates of genetic-pen density interactions in production traits of swine. J. Anim. Sci. 53:1166–1173.[Abstract/Free Full Text]

Labroue, F., R. Gueblez, M. C. Meunier-Salaun, and P. Sellier. 1999. Feed intake behaviour of group-housed Pietrain and Large White growing pigs. Ann. Zootech. 48:247–261.

McGlone, J. J., and B. E. Newby. 1994. Space requirements for finishing pigs in confinement: behavior and performance while group size and space vary. Appl. Anim. Behav. Sci. 39:331–338.

Merks, J. W. M. 1986. Genotype x environment interactions in pig breeding programmes. I. Central test. Livest. Prod. Sci. 14:365–381.

Merks, J. W. M. 1989. Genotype x environment interactions in pig breeding programmes. VI. Genetic relations between performances in central test, on-farm test and commercial fattening. Livest. Prod. Sci. 22:325–339.

Miller, K. D., M. Ellis, F. K. McKeith, and E. R. Wilson. 2000. Influence of sire line and halothane genotype on growth performance, carcass characteristics, and meat quality in pigs. Can. J. Anim. Sci. 80:319–327.

NCR-89 Committee on Confinement Management of Swine. 1993. Space requirements of barrows and gilts penned together from 54 to 113 kilograms. J. Anim. Sci. 71:1088–1091.

NRC. 1998. Nutrient Requirements of Swine. 10th ed. Natl. Acad. Press, Washington, DC.

Petherick, J. C., A. W. Beattie, and D. A. V. Bodero. 1989. The effect of group size on the performance of growing pigs. Anim. Prod. 49:497–502.

Randolph, J. H., G. L. Cromwell, T. S. Stahly, and D. D. Kratzer. 1981. Effects of group size and space allowance on performance and behavior of swine. J. Anim. Sci. 53:922–927.[Abstract/Free Full Text]

Schinckel. A. P. 1999. Describing the Pig. Pages 9–38 in A Quantitative Biology of the Pig. CAB International, New York.

Schinckel, A. P., and C. F. M. de Lange. 1996. Characterization of growth parameters needed as inputs for pig growth models. J. Anim. Sci. 74:2021–2036.[Abstract]

Schinckel, A. P., P. V. Preckel, and M. E. Einstein. 1996. Prediction of daily protein accretion rates of pigs from estimates of fat-free lean gain between 20 and 120 kilograms live weight. J. Anim. Sci. 74:498–503.

Schinckel, A. P., J. W. Smith II, M. D. Tokach, S. S. Dritz, M. Einstein, J. L. Nelssen, and R. D. Goodband. 2002. Two on-farm data collection methods to determine dynamics of swine compositional growth and estimates of dietary lysine requirements J. Anim Sci. 80:1419–1432.

Thompson, J. M., F. Sun, T. Kuczek, A. P. Schinckel, and T. S. Stewart. 1996. The effect of genotype and sex on the patterns of protein accretion in pigs. Anim. Sci. 63:265–278.

Wagner, J. R., A. P. Schinckel, W. Chen, J. C. Forrest, and B. L. Coe. 1999. Analysis of body composition changes of swine during growth and development. J. Anim. Sci. 77:1442–1466.[Abstract/Free Full Text]

Wolter, B. F., M. Ellis, S. E. Curtis, E. N. Parr, and D. M. Webel. 2000. Group size and floor-space allowance can affect weanling pig performance. J. Anim. Sci. 78:2062–2067.[Abstract/Free Full Text]


This article has been cited by other articles:


Home page
J ANIM SCIHome page
M. G. Young, M. D. Tokach, F. X. Aherne, S. S. Dritz, R. D. Goodband, J. L. Nelssen, and T. M. Loughin
Effect of space allowance during rearing and selection criteria on performance of gilts over three parities in a commercial swine production system
J Anim Sci, November 1, 2008; 86(11): 3181 - 3193.
[Abstract] [Full Text] [PDF]


Home page
J ANIM SCIHome page
A. P. Schinckel, D. C. Mahan, T. G. Wiseman, and M. E. Einstein
Growth of protein, moisture, lipid, and ash of two genetic lines of barrows and gilts from twenty to one hundred twenty-five kilograms of body weight
J Anim Sci, February 1, 2008; 86(2): 460 - 471.
[Abstract] [Full Text] [PDF]


Home page
J ANIM SCIHome page
B. Lebret, M. C. Meunier-Salaun, A. Foury, P. Mormede, E. Dransfield, and J. Y. Dourmad
Influence of rearing conditions on performance, behavioral, and physiological responses of pigs to preslaughter handling, carcass traits, and meat quality
J Anim Sci, September 1, 2006; 84(9): 2436 - 2447.
[Abstract] [Full Text] [PDF]


Home page
J ANIM SCIHome page
M. C. Brumm
The effect of space allocation on barrow and gilt performance
J Anim Sci, August 1, 2004; 82(8): 2460 - 2466.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Hamilton, D. N.
Right arrow Articles by Wilson, E. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hamilton, D. N.
Right arrow Articles by Wilson, E. R.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS