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ENVIRONMENT, WELL-BEING, AND BEHAVIOR |


* Livestock Business Division, Agricultrual Research Council, Private Bag X2, Irene, 0062, South Africa;
Department of Agriculture, Private Bag X9487, Polokwane, 0700, South Africa; and
University of Venda for Science and Technology, Private Bag X5050, Thohoyandou, 0950, South Africa
1 Corresponding author: jmtileni{at}arc.agric.za
| ABSTRACT |
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Key Words: broiler breeder stocking density body weight feed intake performance
| INTRODUCTION |
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Commercial poultry producers are often tempted to increase the number of breeding stock per pen as a method to reduce housing, equipment, and labor cost per pen. However, the literature indicates that high stocking densities can have a deleterious effect on the economics and welfare of poultry production. Hall (2001) observed a higher mortality, greater incidence of leg problems, and disturbed resting behavior in birds kept at high stocking densities. Chickens at high density grow more slowly, produce fewer eggs, and have higher mortality (Van Kampen, 1981; Deaton, 1983). Wells (1972) reported that feed consumption was significantly reduced among birds reared at high stocking density. On the other hand, eggs produced by birds kept at high stocking density were heavier than those produced by birds kept at low stocking density (Leeson and Summers, 1984; Carey, 1987).
The objective of this study was to evaluate the effect of stocking density on BW, egg weight (EW), feed intake (FI), and egg production (EP) in Ross-broiler breeder hens during the late medium EP period (from 50 to 54 wk of age).
| MATERIALS AND METHODS |
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An open-sided structure was used that had concrete floors covered with wood shavings. Pens were constructed of welded wires to allow birds in neighboring pens to have audio-visual contact as well as limited physical contact while feeding or drinking water from the troughs. The photoperiod was set to 16L:8D during the experimental period.
Birds were fed a predetermined limited quantity of feed based on their weekly EP rate to achieve the recommended commercial EP rate. At 0900 h, hens were offered feed at 140 g/bird of a commercial breeder diet, an amount above maintenance requirements during the experimental period.
The experiment was started from 50 to 54 wk of age after an adaptation period of 7 d. Daily FI was measured by the weigh-feeding-weigh method throughout the experimental period (before feeding and after feeding). Body weight, EW, and EP were also recorded per bird/day.
Statistical Analysis
In this experiment, birds were randomly allocated to pens representing different stocking densities, and multiple measurements of response (BW, EW, and FI) were taken on the same experimental units in a sequence of equally spaced points in time (in days). Data were analyzed using the repeated measures techniques of the Statistical Analysis System (SAS) in PROC MIXED (Littell et al., 1999). The following statistical model was used:
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where yijk = measurement of response on the jth bird kept on ith density at kth time, µ = overall mean, di = effect of ith density on the measurements (i = 15, 20, 25), tk = effect of kth time on measurements (k = 1, 2, ..., 20), (dt)ik = interaction between ith density and kth time,
ij = random effect associated with the jth bird kept in ith density, eijk = random error associated with the jth bird kept in ith density at kth time.
The terms density, time, and density x time interaction were included in the model as fixed effects, whereas birds were considered as random effects. Basically there are 2 error terms, the between birds random error term (
ij) and the within birds random error term (eijk). In a repeated measures setup, 2 measurements taken at adjacent times are expected to be more highly correlated than 2 measurements taken several time points apart. Therefore, first order autoregressive correlation, AR(1), was used to model the covariance structure of the observed data (Littell et al., 1999).
Data were analyzed in 2 separate ways: 1) modeling time as a classification variable (the objectives are to compare stocking density trends over time to assess the possible interactions between stocking densities and time) and 2) modeling time as a regression variable. Regression variable was used because the variable time is quantitative, so as to model BW, EW, and FI as a polynomial function of time. This yields equations that can be used for comparing stocking density at specific times or predicting BW, EW, and FI for a stocking density at a specific time.
The number of eggs produced by each bird was counted to determine total EP for each density level. The categorical data techniques of SAS were used for the analysis of EP, and the average number of eggs per bird was determined for each density.
| RESULTS AND DISCUSSION |
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The mean FI was different (P < 0.05) among the 3 groups, with a reduction in FI as density level increases (Table 1
). Thus, greater stocking densities were associated with significantly lower feed consumption. This may be attributable to increased competition for feeding space. The results are in agreement with previous literature reports (Wells, 1972; Carey, 1987).
Figures 1
, 2
, and 3
contain plots of the LSM for BW, EW, and FI at each stocking density over the several levels of time. Over time, the LSM for BW of birds kept in groups of 20 per pen was generally lower than for the other 2 groups (Figure 1
). Although the effect of density on BW seemed parallel over time, it was not consistent throughout the experimental period. Noteworthy is that the LSM for EW and FI for different densities over time overlay at certain days but are clearly apart at other days (Figures 2
and 3
). The EW and FI might have been affected by crowding because with higher stocking density, there would be presumably more disturbances and less opportunity for individuals to feed. This concurred well with the ANOVA results that indicated significant interaction between stocking density and time for BW, EW, and FI.
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The above equations might be used to predict BW, EW, and FI for birds kept at any of the 3 stocking densities at a particular day. For example, for a bird kept in a density of 20 per pen at d 10 during the peak of EP, its BW could be predicted as BW = 3,742.91 + (10.46 x 10) = 3,847.51 g. Egg weight and FI of broiler breeder hens kept in the studied stocking densities can also be predicted in the similar manner.
The total number of eggs and the average number of eggs per bird for each stocking density are presented in Figures 4
and 5
, respectively. The cumulative number of eggs was higher at a high-density environment than at a low-density environment, attributable to the confounding effect of density with group size. However, on a per bird basis, birds kept at a high-density environment produced fewer eggs than the low-density group. The average number of eggs per bird was 10.62, 9.96, and 9.40 for the 5, 6.67, and 8.33 birds/m2, respectively. Similar results have been reported by Ruggles et al. (1967), Ostrander and Young (1969), Van Kampen (1981, 1982), and Deaton (1983) that crowding has a depressing effect on EP per bird.
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| ACKNOWLEDGMENTS |
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Received for publication June 13, 2006. Accepted for publication April 5, 2007.
| REFERENCES |
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