Genetic Change in Milk Yield Estimated from Simultaneous Genetic Evaluation of Bulls and Cows

Vleck, L.D. Van; Westell, R.A.; Schneider, John C.

doi:10.3168/jds.s0022-0302(86)80753-6

Cited by 21 publications

(3 citation statements)

References 6 publications

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“…Table 1 Figure 1 was contrary to findings of Van Vleck et al (22), who found similar trend at 10, 20, and 30 rounds for Holstein data. Their trend estimates probably were similar because they started with previous evaluations.…”

Section: Trendcontrasting

confidence: 57%

Animal Model Evaluation of Ayrshire Milk Yield with All Lactations, Herd-Sire Interaction, and Groups Based on Unknown Parents

Wiggans¹,

Misztal²,

Vleck³

1988

Journal of Dairy Science

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An animal model was applied to predict genetic merit for Ayrshire milk yield. The model included fixed herdyear-season (32,287) and random herdsire interaction (32,159), permanent environment, animal, and residual effects. Animals evaluated included 119,541 cows with 301,799 records, 5762 sires, and 11,893 dams without records. Genetic groups (36) were defined for unknown parents and parents not contributing ties or records. Groups were defined by sex of parent and by birth year and sex of animal with unknown parent. Evaluations included combinations of these group effects derived from tracing each path in pedigree back to an unknown parent group. Iteration was by Gauss-Seidel for herd-year-season, permanent environment, and herd-sire interaction effects and by second-order Jacobi for animal and genetic group effects. Iteration was conducted without forming mixed model equations; instead one copy of data sorted by herd and sire was read each

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Section: Trendcontrasting

confidence: 57%

Animal Model Evaluation of Ayrshire Milk Yield with All Lactations, Herd-Sire Interaction, and Groups Based on Unknown Parents

Wiggans¹,

Misztal²,

Vleck³

1988

Journal of Dairy Science

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“…Henderson's best linear unbiased prediction (BLUP) [27] provides a method of genetic evaluation based on the relationships between animals in the population. It was soon widely applied in livestock breeding, leading to significant genetic gain (e.g., [28,29]).…”

Section: Introductionmentioning

confidence: 99%

Substantial Genetic Progress in the International Apis mellifera carnica Population Since the Implementation of Genetic Evaluation

Hoppe

Bernstein

et al. 2020

Insects

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The Apis mellifera carnica subspecies of the honeybee has long been praised for its gentleness and good honey yield before systematic breeding efforts began in the early 20th century. However, before the introduction of modern techniques of genetic evaluation (best linear unbiased prediction, BLUP) and a computerized data management in the mid 1990s, genetic progress was slow. Here, the results of the official breeding value estimation in BeeBreed.eu are analyzed to characterize breeding progress and inbreeding. From about the year 2000 onward, the genetic progression accelerated and resulted in a considerable gain in honey yield and desirable properties without increased inbreeding coefficients. The prognostic quality of breeding values is demonstrated by a retrospective analysis. The success of A. m. carnica breeding shows the potential of BLUP-based breeding values and serves as an example for a large-scale breeding program.

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“…This technology has been very successful, leading to genetic gains in most farmed species (e.g. see Van Vleck et al, 1986;Havenstein et al, 1994). Despite this success, there has long been an interest in using simply inherited genetic markers to increase the rate of genetic gain and to identify the genes and polymorphisms controlling traits in the breeding objectives (as summarized in Dekkers & Hospital, 2002).…”

Section: Introductionmentioning

confidence: 98%

Genomic selection in livestock populations

Hayes²,

2010

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Most traits of economic importance in livestock are either quantitative or complex. Despite considerable efforts, there has been only limited success in identifying the polymorphisms that cause variation in these traits. Nevertheless, selection based on estimated breeding values (BVs), calculated from data on phenotypic performance and pedigree has been very successful. Genomic tools, such as single nucleotide polymorphism (SNP) chips, have led to a new method of selection called 'genomic selection' in which dense SNP genotypes covering the genome are used to predict the BV. In this review we consider the statistical methodology for estimating BVs from SNP data, factors affecting the accuracy, the long-term response to genomic selection and the design of breeding programmes including the management of inbreeding.

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Genetic Change in Milk Yield Estimated from Simultaneous Genetic Evaluation of Bulls and Cows

Cited by 21 publications

References 6 publications

Animal Model Evaluation of Ayrshire Milk Yield with All Lactations, Herd-Sire Interaction, and Groups Based on Unknown Parents

Animal Model Evaluation of Ayrshire Milk Yield with All Lactations, Herd-Sire Interaction, and Groups Based on Unknown Parents

Substantial Genetic Progress in the International Apis mellifera carnica Population Since the Implementation of Genetic Evaluation

Genomic selection in livestock populations

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