1997
DOI: 10.3168/jds.s0022-0302(97)76114-9
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Estimation of (Co)Variance Components for Jersey Type Traits Using a Repeatability Model

Abstract: ABSTRACT(Co)variance components for final score and 15 linear type traits of Jersey cows were estimated by multitrait REML using multiple diagonalization and a repeatability model with 34,999 records of 22,354 cows. Multiple diagonalization gave relative offdiagonals (ratio of squared off-diagonals to the product of diagonals) of <0.1%. Heritabilities and repeatabilities, respectively, were estimated as 0. Estimates of heritability generally were higher, and estimates of repeatability were lower, than values u… Show more

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Cited by 29 publications
(40 citation statements)
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“…Variance components were estimated with MTC (multitrait REML estimation of variance components program by canonical transformation with support for multiple random effects; I. Misztal, University of Georgia, Athens, personal communication); calculations were as described by Gengler et al (1997aGengler et al ( , 1997bGengler et al ( , 1999 using expectation-maximization REML and canonical transformation as described in Misztal (1994) and Wiggans et al (2004). The model included fixed effects for the interaction of herd, appraisal date, and parity (first or later); appraisal age (2-mo group; more months included for youngest and oldest ages) within parity (29 levels for each breed); and lactation stage (1 through 8 as assigned by the breed association) within parity (1, 2, and ≥3) and random effects for animal, permanent environment, and residual.…”
Section: Estimation Of Variance Componentsmentioning
confidence: 99%
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“…Variance components were estimated with MTC (multitrait REML estimation of variance components program by canonical transformation with support for multiple random effects; I. Misztal, University of Georgia, Athens, personal communication); calculations were as described by Gengler et al (1997aGengler et al ( , 1997bGengler et al ( , 1999 using expectation-maximization REML and canonical transformation as described in Misztal (1994) and Wiggans et al (2004). The model included fixed effects for the interaction of herd, appraisal date, and parity (first or later); appraisal age (2-mo group; more months included for youngest and oldest ages) within parity (29 levels for each breed); and lactation stage (1 through 8 as assigned by the breed association) within parity (1, 2, and ≥3) and random effects for animal, permanent environment, and residual.…”
Section: Estimation Of Variance Componentsmentioning
confidence: 99%
“…A multitrait animal model (Gengler et al, 1997a(Gengler et al, , 1997b(Gengler et al, , 1999 has been used to calculate type evaluations for Brown Swiss and Guernseys since February 1998. The purpose of this study was to estimate genetic parameters for RLRV and to develop a genetic evaluation system for this trait.…”
Section: Introductionmentioning
confidence: 99%
“…The variance component estimation program was provided by I. Misztal (University of Georgia, Athens), and calculations were as described by Gengler et al (1997), using expectation-maximization REML and canonical transformation. Final score was not included in the multitrait analysis because the Ayrshire and Jersey breeds compute this trait from linear scores.…”
Section: Estimation Of Variance Componentsmentioning
confidence: 99%
“…The highest heritability was 0.54 for stature in Ayrshires, and the lowest was 0.07 for rear legs (side view) in Jerseys. Changes in heritability between this analysis and those of Gengler et al (1997) are given in Table 11. The largest increase was 0.10 for rump angle in Milking Shorthorns.…”
Section: Heritabilitiesmentioning
confidence: 99%
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