scholarly journals Sub-indexes for bulls ofHolsteinbreed in theCzechRepublic

2011 ◽  
Vol 50 (No. 6) ◽  
pp. 254-265 ◽  
Author(s):  
P. Šafus ◽  
M. Štípková ◽  
L. Stádník ◽  
J. Přibyl ◽  
V. Čermák
Keyword(s):  
Selection Index ◽  
Milk Proteins ◽  
Production Traits ◽  
Linear Type ◽  
Breeding Values ◽  
Production Index ◽  
Holstein Breed ◽  
Total Index ◽  
Milk Performance ◽  
Available Information

Sub-indexes were constructed for bulls of the Holstein breed according to groups of production traits – production index for milk (IPH), sub-indexes for reproduction (IRH), longevity (IDH), health resistance (IOH) and fitness (IFH). Every index for selection for a group of traits applies all available information – breeding values for traits of milk performance, fertility and linear type trait classification. The sub-indexes were compared with the total index (SIH). The accuracy of total selection index (SIH) was 69.30%, the accuracies of the other indexes were as follows: IPH 83.32%, IRH 56.04%, IDH 9.80%, IOH 15.57% and IFH 9.86%. All of the indexes were standardised to have the mean 100 and standard deviation 12. Simplified index ZSIH was developed as a sum of IPH, IRH and IDH; its correlation with the total index is r = 0.992. If IPH is used, the values of secondary functional traits decrease. The use of IDH, IOH and IFH results in a decrease in milk performance. Selection differences, i.e. changes in breeding values at various intensities of selection according to some indexes and breeding values for kg of milk and kg of milk proteins, were tested on the basis of breeding values in a sample of the domestic population of bulls. The production index was compared with production indexes used in other countries. Correlations between production indexes were higher than r = 0.790.  

scholarly journals Experiences in selecting on a total merit index in the Austrian fleckvieh breed

2006 ◽  
Vol 22 (1-2) ◽  
pp. 17-27 ◽  
Author(s):  
J. Miesenberger ◽  
C. Fuerst
Keyword(s):  
Selection Index ◽  
Cattle Breed ◽  
International Exchange ◽  
Production Traits ◽  
Economic Gain ◽  
Milk Traits ◽  
Breeding Values ◽  
Breeding Objective ◽  
Economic Weights ◽  
Estimated Breeding Values

Spotted cattle breed is the most common breed in Austria. Austrian Spotted cattle breed is bred as a dual purpose breed for more than 100 years. The breeding objective has changed over the time according to the different economic importance of the traits and according to the different possibilities in using estimated breeding values (EBVs) for selection. Since 1998 the breeding objective is defined as the aggregate genotype of production traits and functional traits. All economically important traits are combined according to their economic weights in the total merit index (TMI). The TMI is calculated by combining the EBVs of all traits using a selection index procedure. The index weights (b-values) are estimated depending on the reliabilities of the EBVs and are therefore different from animal to animal. Considering the intensive international exchange of semen from the best bulls, the cooperation in the breeding programs and the similar economic situation in agriculture the breeding organizations of Germany and Austria decided to make a joint across-country evaluation for all traits. Since November 2002 breeding values for all traits and as a logical conclusion the TMI are evaluated jointly. The result is a high acceptance of the EBVs and the TMI by the farmers because of smaller changes of the breeding values for national and foreign bulls between consecutive evaluations. The realized economic gain in the different traits is very close to the expected economic gain. In the last 10 years on average 88.2 % of the economic gain were realized in the milk traits, 4.2 % in the beef traits and 7.6 % were realized in the fitness traits.

scholarly journals Selection index for bulls of Holstein cattle in the Czech Republic

2011 ◽  
Vol 49 (No. 6) ◽  
pp. 244-256 ◽  
Author(s):  
J. Přibyl ◽  
P. Šafus ◽  
M. Štípková ◽  
L. Stádník ◽  
V. Čermák
Keyword(s):  
Selection Index ◽  
Body Measurements ◽  
Production Traits ◽  
Linear Classification ◽  
The Czech Republic ◽  
Breeding Objective ◽  
Body Conformation ◽  
Milk Performance ◽  
Source Of Information

Complex selection indexes are proposed for bulls of Holstein cattle in the Czech Republic. Partial breeding values for milk performance, fertility and body conformation are combined in the index. Conformation is expressed either by linear classification or by general characteristics and body measurements. Variants according to the traits included in breeding objective and in performance recordingwere tested – breeding objective comprised milk, meat, milkability, health, reproduction, longevity; production traits and linear classification of body conformation or production traits and general characteristics of body conformation and/or production traits, and general characteristics of body conformation and body measurements were used as source of information (in performancerecording). For practical use is recommended the variant of reduced selection index where milkability, health and meat performance were left out from breeding objective, and production traits and linear classification of body conformation were employed as a source of information. The index guarantees 69.30% reliability of breeding value estimate and the ratio of selection effects for milk, meat and secondary traits 78 : 8 : 14. The respective importance of milk performance in total (breeding values for milk and components) of reproduction and linear body classification as sources of information in the index are 79.61%, 15.52% and 4.86%.  

Evaluation of genetic trends for milk yield and somatic cell counts in the Holstein breed in terms of changes in the lactation curve

2009 ◽  
Vol 2009 ◽  
pp. 55-55
Author(s):  
R Mrode ◽  
M P Coffey ◽  
K Moore
Keyword(s):  
Somatic Cell ◽  
Selection Index ◽  
Random Regression ◽  
Production Traits ◽  
Genetic Progress ◽  
Somatic Cell Counts ◽  
Holstein Breed ◽  
Cell Counts ◽  
Lactation Curve ◽  
Genetic Trends

The use of test day model (TDM) for genetic evaluation results in predicted transmitting abilities (PTAs) for any stage of lactation. However, in the United Kingdom (UK), publication and selection of parents are still based on PTAs computed on a 305-day basis from the random regression coefficients of the TDM. It is expected from selection index theory, that selection on 305-day PTAs would place different weights on PTAs at different days in milk (DIM). This could result in changes in the lactation curve of animals over time as a result of genetic progress. This study evaluates genetic trends in terms of changes in PTAs at different DIM for production traits and somatic cell counts (SCC) in the Holstein breed. In addition, the inclusion of SCC in the national profitable life index (£PLI) is based on its relationship with milk computed on a 305-day basis. This study also examines what impact such selection has on the relationship between PTAs for milk and SCC at different DIM.

scholarly journals Association between lactoferrin single nucleotide polymorphisms and milk production traits in Polish Holstein cattle

2014 ◽  
Vol 57 (1) ◽  
pp. 1-12
Author(s):  
Adrianna Pawlik ◽  
Grazyna Sender ◽  
Magdalena Sobczynska ◽  
Agnieszka Korwin-Kossakowska ◽  
Jolanta Oprzadek ◽  
...  
Keyword(s):  
Genotype By Environment Interaction ◽  
Bovine Lactoferrin ◽  
Environment Interaction ◽  
Production Traits ◽  
Breeding Values ◽  
Genotype By Environment ◽  
Lactoferrin Gene ◽  
Milk Performance ◽  
Estimated Breeding Values ◽  
The Impact

Abstract. Bovine lactoferrin exhibits strong potential for further applications as a mastitis resistance marker. Since selection for mastitis resistance should not interfere with dairy performance, we investigated the association between bovine lactoferrin gene polymorphism and production traits in Polish Holsteins. The associations between four SNPs, localized in the 5’-flanking region and in exons 4 and 9 of the lactoferrin gene, and dairy performance were examined. SNPs were associated with almost all test-day milk performance traits. Significant associations were found between lactoferrin genotypes and the estimated breeding values for those traits. To find out whether the discrepancies between the lactoferrin gene SNP’s influence on phenotype (test-day milk performance) and on estimated breeding values originate from the impact of other factors, we explored the genotype by environment interaction. Substantial impacts of SCC, lactation stage and parity were found. This paper suggests that the genotype by environment interaction may significantly change associations between genes and traits. It is important to include similar analyses to the studies on disease markers before using them in the selection.

scholarly journals Selection Response Due to Different Combination of Antagonistic Milk, Beef, and Morphological Traits in the Alpine Grey Cattle Breed

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1340
Author(s):  
Enrico Mancin ◽  
Cristina Sartori ◽  
Nadia Guzzo ◽  
Beniamino Tuliozi ◽  
Roberto Mantovani
Keyword(s):  
Genetic Correlation ◽  
Functional Traits ◽  
Performance Test ◽  
Genetic Relationships ◽  
Selection Index ◽  
Milk Traits ◽  
Linear Type ◽  
Dual Purpose ◽  
Type Traits ◽  
Selection Indexes

Selection in local dual-purpose breeds requires great carefulness because of the need to preserve peculiar traits and also guarantee the positive genetic progress for milk and beef production to maintain economic competitiveness. A specific breeding plan accounting for milk, beef, and functional traits is required by breeders of the Alpine Grey cattle (AG), a local dual-purpose breed of the Italian Alps. Hereditability and genetic correlations among all traits have been analyzed for this purpose. After that, different selection indexes were proposed to identify the most suitable for this breed. Firstly, a genetic parameters analysis was carried out with different datasets. The milk dataset contained 406,918 test day records of milk, protein, and fat yields and somatic cells (expressed as SCS). The beef dataset included performance test data conducted on 749 young bulls. Average daily gain, in vivo estimated carcass yields, and carcass conformation (SEUROP) were the phenotypes obtained from the performance tests. The morphological dataset included 21 linear type evaluations of 11,320 first party cows. Linear type traits were aggregated through factor analysis and three factors were retained, while head typicality (HT) and rear muscularity (RM) were analyzed as single traits. Heritability estimates (h2) for milk traits ranged from 0.125 to 0.219. Analysis of beef traits showed h2 greater than milk traits, ranging from 0.282 to 0.501. Type traits showed a medium value of h2 ranging from 0.238 to 0.374. Regarding genetic correlation, SCS and milk traits were strongly positively correlated. Milk traits had a negative genetic correlation with the factor accounting for udder conformations (−0.40) and with all performance test traits and RM. These latter traits showed also a negative genetic correlation with udder volume (−0.28). The HT and the factor accounting for rear legs traits were not correlated with milk traits, but negatively correlated with beef traits (−0.32 with RM). We argue that the consequence of these results is that the use of the current selection index, which is mainly focused on milk attitude, will lead to a deterioration of all other traits. In this study, we propose more appropriate selection indexes that account for genetic relationships among traits, including functional traits.

scholarly journals Genetic parameters for test-day model with random regressions for production traits of Czech Holstein cattle

2011 ◽  
Vol 50 (No. 4) ◽  
pp. 142-154 ◽  
Author(s):  
L. Zavadilová ◽  
J. Jamrozik ◽  
Schaeffer LR
Keyword(s):  
Milk Fat ◽  
Sampling Method ◽  
Random Regression ◽  
Model Parameters ◽  
Residual Variance ◽  
Posterior Distributions ◽  
Production Traits ◽  
Multiple Trait ◽  
Holstein Breed ◽  
Random Regression Model

Multiple-lactation random regression model was applied to test-day records of milk, fat and protein yields in the first three lactations of the Czech Holstein breed. Data included 9 583 cows, 89 584, 44 207 and 11 266 test-day records in the first, second and third lactation, respectively. Milk, fat and protein in the first three lactations were analysed separately and in a multiple-trait analysis. Linear model included herd-test date, fixed regressions within age-season class and two random effects: animal genetic and permanent environment modelled by regressions. Gibbs sampling method was used to generate samples from marginal posterior distributions of the model parameters. The single- and multiple-trait models provided similar results. Genetic and permanent environmental variances and heritability for particular days in milk were high at the beginning and at the end of lactation. The residual variance decreased throughout the lactation. The resulting heritability ranged from 0.13 to 0.52 and increased with parity.  

Multi-trait selection index and cluster analyses in Angus cattle

2021 ◽  
pp. 1-8
Author(s):  
G. M. Fernandes ◽  
R. P. Savegnago ◽  
L. A. Freitas ◽  
L. El Faro ◽  
V. M. Roso ◽  
...  
Keyword(s):  
Production System ◽  
Selection Process ◽  
Selection Index ◽  
Genetic Selection ◽  
Genetic Profile ◽  
Breeding Values ◽  
Cluster Analyses ◽  
Scrotal Circumference ◽  
Breeding Programmes ◽  
Economic Selection

Abstract In breeding programmes, the genetic selection process is based on the prediction of animal breeding values, and its results may vary according to the employed selection method. The current study developed an economic selection index for animals of the Angus breed; performed cluster analyses using the breeding values in order to evaluate the genetic profile of the animals candidates to selection, and compared the obtained results between the economic selection index and the cluster analyses. The evaluated traits included weaning weight, 18-month weight, scrotal circumference, fat thickness and ribeye area. Economic values were obtained using bioeconomic modelling, simulating a complete cycle production system of beef cattle breeds in Brazil, and the selection objective were the weaning rate and slaughter weight. The chosen selection index was composed of all of the traits used as selection criteria for the simulated production system. During the cluster analyses, the population was divided into two to four groups, in which the groupings containing potential animals were assessed. The animals of the grouping which was used for comparison with the selection index were identified, and most of the bulls that were included in the index were among the best in the analysed group. These results suggest that the cluster analyses can be used as a tool for the selection of animals to be used as parents for future generations.

The incorporation of fertility indices in genetic improvement programmes

2001 ◽  
Vol 26 (1) ◽  
pp. 237-249 ◽  
Author(s):  
J.E. Pryce ◽  
R.F. Veerkamp
Keyword(s):  
Genetic Variance ◽  
Selection Index ◽  
Genetic Correlations ◽  
Live Weight ◽  
Parameter Estimates ◽  
Phenotypic Variance ◽  
Production Traits ◽  
Genetic Progress ◽  
Detection Rates ◽  
Days Open

AbstractIn recent years there has been considerable genetic progress in milk production. Yet, increases in yield have been accompanied by an apparent lengthening of calving intervals, days open, days to first heat and a decline in conception rates, which appears to be both at the genetic and phenotypic level. Fertility has a high relative economic value compared to production traits such as protein, making it attractive to include in a breeding programme. To do this there needs to be genetic variance in fertility. Measures of fertility calculated from service dates have a small genetic compared to phenotypic variance, hence heritability estimates are small, typically less than 5%, although coefficients of genetic variance are comparable to those of production traits. Heritabilities of commencement of luteal activity determined using progesterone profiles are generally higher, and have been reported as being from 0.16 to 0.28, which could be because of a more precise quantification of genetic variance, as management influences such as delaying insemination and heat detection rates are excluded. However, it might not be the use of progesterone profiles alone, as days to first heat observed by farm staff has a heritability of 0.15. The most efficient way to breed for improved fertility is to construct a selection index using the genetic and phenotypic parameter estimates of all traits of interest in addition to their respective economic values. Index traits for fertility could include measures such as calving interval, days open, days to first service, or days to first heat but there may also be alternative measures. Examples include traits related to energy balance, such as live weight and condition score (change), both of which have higher heritabilities than fertility measures and have genetic correlations of sufficient magnitude to make genetic progress by using them feasible. To redress the balance between fertility and production, some countries already publish genetic evaluations of fertility including: Denmark, Finland, France, Germany, Israel, The Netherlands, Norway and Sweden.

scholarly journals Protein phenotypes and productive traits in Landrace, Large White and Duroc swine

1995 ◽  
Vol 25 (1) ◽  
pp. 61-65 ◽  
Author(s):  
Claudia Helena Tagliaro ◽  
Maria Helena Lartigau Pereira Franco ◽  
Werner Meincke ◽  
Gilberto Silva
Keyword(s):  
Weight Gain ◽  
Selection Index ◽  
Daily Weight Gain ◽  
Production Traits ◽  
Southern Brazil ◽  
Feed Conversion ◽  
Large White ◽  
Performance Variables ◽  
Phosphogluconate Dehydrogenase ◽  
Productive Traits

Fourteen protein systems coded by 15 structural loci were typed by horizontal electrophoresis to determine possible associations betweem the protein phenotypes and productive traits in Landrace (N=109), Largo White (N= 116) and Duroe (N=57) pigs, reared in Southern Brazil. Signiticant associations between protein phenotypes and production traits were detected. The most consistent interaction were observed between two protein systems (phosphogluconate dehydrogenase - Pgd and Hemopexin -Hpx) and at least one of the four performance variables considered. In Duroc breed, the Pgd phenotypes were associated with daily weight gain (P < 0.01), feed conversion ratio (P < 0.01) and selection index (P < 0.001), while in Landrace significant associations were observed only with feed convertion ratio (P < 0.05). The Hpx phenotypes were associated with daily weight gain (P < 0.05) and backfat thickness (P < 0.05) in Large White and with this last variable (P < 0.01) and selection index (P < 0.05) in Duroc pigs. Since these results had not been reported previously, turther studies are need to confirm these associations.

Sign in / Sign up

Export Citation Format

Share Document