1986
DOI: 10.1111/j.1439-0388.1986.tb00086.x
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Discriminating breeding values of young bulls from their serum concentrations of hormones

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Cited by 3 publications
(4 citation statements)
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“…Outliers were checked using a procedure suggested by G ill et al (1986). Their procedure is based on the method of S hapiro and W ilk (1965) that tests non‐normality in small samples.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Outliers were checked using a procedure suggested by G ill et al (1986). Their procedure is based on the method of S hapiro and W ilk (1965) that tests non‐normality in small samples.…”
Section: Methodsmentioning
confidence: 99%
“…However, the gain in efficiency resulting from indicators would be less in adult MOET schemes. In progeny‐testing programmes indicator traits could be used for the initial selection of test bulls (G ill et al 1986).…”
Section: Introductionmentioning
confidence: 99%
“…Replicate within line, sex and sex by replicate within line were tested against the between mouse mean square. Prior to analyses, data for growth hormone were tested for outliers, and outliers were modified, as described in G ill et al (1986), following T ukey (1962). For serum GH, 3, 4, 2, 2 and 3 observations were modified in the EPA, EPR, LPA, LPR and Control lines, respectively.…”
Section: Methodsmentioning
confidence: 99%
“…As an aid to the biometrical approach, especially in the case of sex limited traits or traits expressed late in the animal's life, considerable interest has often focused on additonal information such as quantitative trait loci (QTL), marker genes, or physiological information providing indirect measures of genetic potential. There have been a considerable number of studies examining the possibilities of using physiological information, such as hormone levels in selection programs in farm animals (e. g. W ooliams and S mith 1988; M ackenzie et al 1988; S innett ‐S mith et al 1987; G ill et al 1986; H ill 1985; S ejrsen et al 1984). Indirect information on the association between physiological information and genetic potential can also come from correlated responses in physiological parameters to selection for growth in laboratory animals (e. g. P idduck and F alconer 1978, Y ani and N agasawa 1968; S inha et al 1975).…”
Section: Introductionmentioning
confidence: 99%