Fit of Wood's function to daily milk records and estimation of environmental and additive and non-additive genetic effects on lactation curve and lactation parameters of crossbred dual purpose cattle

Gradiz, L.; Alvarado, Leonardo Garita; Kahi, A.K.; Hirooka, Hiroyuki

doi:10.1016/j.livsci.2009.02.016

Cited by 20 publications

(14 citation statements)

References 49 publications

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“…In general, breeding values for crop populations were predicted using the additive model in multienvironment (Crossa et al, 2006), spatial (Dutkowski et al, 2002), and multitrait (Durel et al, 1998) analyses. Nevertheless, Atkin et al (2009), Gradiz et al (2009), Oakey et al (2007, 2006), Costa e Silva et al (2004), Lu et al (1999), Hoeschele and VanRaden (1991), and van der Werf and de Boer (1989) indicated that the recognition of nonadditive effects in the model may improve the estimation of additive effects, resulting in less biased predictions and better ranking of the individuals under selection. Viana et al (2010a) fitted the additive‐dominant model from multigeneration and multipopulation analyses with populations structured in half‐ and full‐sib families and found correlations greater than 0.85 among breeding values from the additive‐dominant and additive models.…”

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Best Linear Unbiased Prediction and Family Selection in Crop Species

et al. 2011

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Best linear unbiased prediction (BLUP) is the method primarily used for genetic evaluation in animal and forest species breeding. The objective was to present theory and application of BLUP in family selection. Statistical models aim to predict the breeding values of parents of half-sib and inbred families and the individual or average additive values of parents of full-sib families. We analyzed the expansion volume (EV) and grain yield of half-and full-sib families and of inbred progeny from the Viçosa popcorn {Zea mays L. subsp. mays [syn. Zea mays L. subsp. everts (Sturtev.) Zhuk.]} population in two selection cycles. The noninbred families were evaluated in a 14 by 14 simple lattice, and the inbred progeny were assessed in the incomplete block design. The additive-dominant model was fitted for yield of full-sib families of the second cycle and across generations for yield of full-sib families and EV of inbred progeny. Additive x additive epistasis was not significant for EV and yield of half-sib families. Although the predictions of breeding values in the additive and additive-dominant models are positively correlated, different sets of parents were included in the top 10% of breeding values from the two models. Therefore, the additive-dominant model should be fitted wherever possible. J.M.S. Viana and V.RAbbreviations: BLUP, best linear unbiased prediction; EV, expansion volume; MME, mixed model equations; REML, restricted maximum likelihood; UFV, Federal University of Viçosa.I NTRAPOPULATION recurrent selection aims to identify parents that have the hest additive genetic values. Several statistical methods can be used for the estimation or prediction of breeding values, assuming fixed, random, or mixed models, and hased on least squares, maximum likelihood, or Bayesian inference. A flexible and powerful methodology was developed from the combination of the hest linear unbiased prediction (BLUP) method proposed hy Henderson (1974) and the restricted maximum likelihood (REML) method proposed hy Patterson and Thompson (1971). The BLUP method is renowned and is widely used in animal and forestry breeding programs (Piepho et al., 2008). This methodology has only recently become important for genetic evaluation in annual crops breeding. In their review of the application of BLUP in plant breeding, Piepho et al. (2008) described relevant studies with and without inclusion of pedigree information, related to prediction of genotypic or additive genetic values in experiments with or without replications, analysis of genotype X environment interaction, quantitative trait loci mapping, and genetic assessment of pure and inbred lines.

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Best Linear Unbiased Prediction and Family Selection in Crop Species

et al. 2011

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“…The structure of the dataset and pedigree after editing is summarized in Table 1. The Wood model is one of the best functions reported in the literature to describe the lactation curve of dairy cattle (Rekik et al, (2003); Gradiz et al, (2009);Elahi Torshizi et al, (2011). Milk production is largely dependent on the shape of the lactation curve and elements of the lactation, for example, peak yield and persistency.…”

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Evaluation of Different Measures of Milk Yield Persistency in Iranian Holstein Dairy Cows

Torshizi¹,

Mashhadi²

2016

JAS

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Test-day lactation records of primiparous Holstein cows over an eleven-year period were evaluated for persistency and estimates of its heritability and correlation with other lactation traits computed. In this study, 435390 test day records of the first lactation Holstein cows that calved between 2001 and 2011 from 659 herds were analyzed using various procedures of SAS. Per1% (dividing total milk yield between 101-200 days by the yield of the first 100 days of lactation) measure was preferred in the selection of animals for milk yield persistency because of higher heritability (0.084 ± 0.009) and the lower phenotypic correlation with 305 days milk yield (0.424) compare to other persistency measures. The result showed that cows which calved during summer and autumn had slightly higher persistency in comparison to cows that calved in spring or winter. The persistency can be affected by the age at first calving, as cows that calved at a younger age had lower persistency.

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“…Torshizi et al (2011) evaluated different non-linear models in primiparous Holstein cows in Irãn and found a lower RMSE for the WD model when compared to the WL model, showing a better prediction of milk production. The Wood model is one of the best and most popular mathematical models to describe lactation curves in dairy cattle (Gradiz et al 2009;Macciotta et al 2011).…”

Section: Discussionmentioning

confidence: 99%

Estimates of genetic and crossbreeding parameters for 305-day milk yield of Girolando cows

Daltro

Silva²,

Gama

et al. 2019

Italian Journal of Animal Science

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The objective of this work was to evaluate the effects of breed and heterosis on the estimates of genetic parameters of 305-day milk yield (305MY), by fitting milk yield data to the Wood, Mixed Log, Morgan, and Wilmink non-linear models. A total of 258,891 test-day milk yield records of 37,965 Holstein (H), Gyr (G), and Girolando (1/2 H, 1/4 H, 3/4 H, 3/8 H, 5/8 H and 7/8 H genetic groups) cows from 1840 herds were collected in the state of Minas Gerais, Brazil, in the period of 1998 to 2014. The pedigree file included 36,640 animals, 3677 bulls and 24,472 cows. The genetic parameters were obtained by one-character analysis using the AIREMLF90 software. The heritability estimates of 305MY, and of 305MY fitted to the different nonlinear models ranged from 0.14 to 0.20. Most genetic groups had heterosis effect, with the greatest effects for 305MY on 1/2 H (1/2 Holstein Â 1/2 Gyr) cows, presenting a milk yield of 1112.73 kg higher than the average of their parents. The results indicate that most genetic groups of Girolando present heterosis effect for 305MY estimated through nonlinear models, and the possibility of obtaining moderate genetic gains when these animals are subjected to selection procedures. HIGHLIGHTS The use Girolando cows in production systems in Brazil has shown positive results of production. This greater productive efficiency may be because of heterosis on the production and adaptation of these animals. The effect of breed and heterosis can be included in traditional models for the improvement of selection.

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Fit of Wood's function to daily milk records and estimation of environmental and additive and non-additive genetic effects on lactation curve and lactation parameters of crossbred dual purpose cattle

Cited by 20 publications

References 49 publications

Best Linear Unbiased Prediction and Family Selection in Crop Species

Best Linear Unbiased Prediction and Family Selection in Crop Species

Evaluation of Different Measures of Milk Yield Persistency in Iranian Holstein Dairy Cows

Estimates of genetic and crossbreeding parameters for 305-day milk yield of Girolando cows

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