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Table 1 shows mean lamb weights and SD of the sampled lambs in 2007 and 2008.
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The lamb weights are presented in Table 4.
Group means of lambs' weight gains, weight of carcass, conformation, fatness, carcass value and log-transformed worm counts were analysed by analysis of variance using GLM procedure of SAS SASS, 1990) with the main factors moving (MOVE, +/-) and strategic treatments (TRT, +/-) and their interaction (MOVE*TRT).
A two sample t test was used to analyse the lamb weight.
The results show that A. phagocytophilum infection has an effect on lamb weight gain.
We only included lambs' weights (hereafter, birth weight) if lambs were captured within 7 days after birth (of these, 89.0% were captured within 3 days).
In order to assess the growth and nutrient utilisation in lambs fed processed karanj cake, fifteen apparently healthy non-descript growing male lambs (mean body weight 10.6±0.50 kg) were equally divided into three groups (1, 2 and 3) following completely randomized design.
These relationships allowed the prediction of flock-specific adjustment factors to be extended to larger numbers of flocks, because derivation of flock-specific factors required only an estimate of the mean weights of lambs in the reference class for each flock.
Lamb sex, parity and lambing weight had pronounced (P < 0.05) effects on lamb birth weight and weaning weight.
These multiplicative factors are normally derived from records of the animals to be evaluated as ratios of least-squares means for weights of lambs in different effect classes and they are periodically updated as additional data accumulate.
Adjustment of body weights for systematic environmental effects such as dam age and litter size is essential for accurate prediction of breeding values in meat sheep and often accomplished by pre-adjusting records using simple multiplicative adjustment factors, which are derived as ratios of least-squares means of weights of lambs in target and reference classes.
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