Sire Evaluation Based on First Lactation 305 Day Milk Yield and Individual Part Lactation Records in Frieswal Cattle

Background: Frieswal, the crossbred cattle, between sahiwal and Holstein Friesian breed with 62.50 per cent of exotic (inheritance) with total lactation milk yield of (4000 Kg) with average lactation length 300 days (PDC Annual Report, 2015-16). Presently, the Frieswal Animal is mainly maintained at 36 Military Farms located in various agro-climatic regions in the country.Methods: The present study was undertaken on first lactation 305 days and part lactation records of 1470 Frieswal cows maintained over a period of 10 years (2003-2012) from military farm at CIRC Meerut Uttar Pradesh as well as Ambala. The success of any breed improvement programme depends mainly on the Sire evaluation which involves the estimation of expected breeding value of the bulls on the basis of average first lactation 305-day or less milk yield and part lactation records of their daughters (FL305DMY).Result: The estimate breeding value of 55 Frieswal sires on the basis of first lactation 305-day or less milk yield and individually part lactation records, by LSM, BLUP and DFREML methods were 2701.48 kg and 2660.70 kg, followed by 333.40, kg and 329.17 kg, respectively. A number of 55 Frieswal sires with three or more daughters were evaluated and ranked on the basis of first lactation 305-day milk yield and individual third month part lactation was having better heritability and comparatively higher genetic correlations with the first lactation 305-days or less milk yield.

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Sire evaluation using animal model versus differentconventional methods in red sindhi cattle

Indian Journal of Animal Research ◽

10.18805/ijar.v0i0f.3805 ◽

2016 ◽

Author(s):

P. K. Mallick ◽

A. K. Ghosh ◽

A. S. Rajendiran

Keyword(s):

Animal Model ◽

Genetic Gain ◽

Simplex Method ◽

Animal Husbandry ◽

Breeding Value ◽

Sire Evaluation ◽

Improvement Programme ◽

Breed Improvement ◽

Model Versus ◽

Selection Of

The effectiveness of sire evaluation is the backbone of any breed improvement programme as much as 61% of genetic gain in dairy cattle results from selection of sires through “bulls to breed cows” and “bulls to breed bulls” path. The application of latest and simplex method of sire evaluation like BLUPF90 in Indian breeds is scanty. The present investigation was planned to evaluate the Red Sindhi sires by this method and to compare the effectiveness of BLUPF90 method with other conventional methods of sire evaluation in Red Sindhi cattle. The records of production and reproduction performances of first lactation traits of 717 Red Sindhi cows, progeny of 58 sires, spread over a period of 40 years (1966-2005) from CCBF, Chiplima, Orissa under the control of Department of Animal Husbandry, Dairying and Fisheries, Ministry of Agriculture, Government of India and CBF, Kalsi, Deheradun, Uttarakhand were analyzed. The present study was single and multi-trait evaluation of breeding values of Red Sindhi sires. The overall least squares population mean for first lactation milk yield (FLMY) was 1536.35±54.87 kg. The average breeding value of sires of single trait from different methods ranged from 1536.35 kg (LSM, DFREML and BLUPF90-Dairy Pack) to 1588.50 kg (simple daughter average) but in multi-trait method the breeding value does not vary with each other. The comparison of different method of sire evaluation based on single trait for FLMY only shows that the DFREML model for single trait should be preferred over the BLUP, LSM and simple daughter average methods for evaluating the sire breeding value. However, if a sire-breeding value is to be computed from multi traits then BLUPF90 model may be preferred over DFREML model.

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Genetic Parameters of First Lactation Milk Yield and Fertility Traits in Brown Swiss Cattle

Annals of Animal Science ◽

10.2478/aoas-2014-0038 ◽

2014 ◽

Vol 14 (3) ◽

pp. 545-557 ◽

Cited By ~ 1

Author(s):

Aziz Şahin ◽

Zafer Ulutaş ◽

Asiye Yýlmaz Adkinson ◽

Robert W. Adkinson

Keyword(s):

Milk Yield ◽

Genetic Parameters ◽

Genetic Correlations ◽

Gestation Length ◽

Yield Traits ◽

Dry Period ◽

Brown Swiss ◽

Lactation Length ◽

Fertility Traits ◽

Brown Swiss Cattle

AbstractThis research was carried out to estimate variance components and genetic parameters for first lactation milk yield (lactation milk yield, 305-day milk yield, lactation length, and dry period) and some fertility traits (calving interval, gestation length and number of services per conception) of Brown swiss cattle reared at konuklar state farm located in konya province, turkey. data were collected on milk yield traits of 3, 769 first lactation Brown Swiss cattle during the period from 1990 to 2008. Variance components, genetic parameters, breeding values, and genetic correlations were estimated using multiple trait derivative free restricted maximum likelihood (mtdfreml) fitting an animal model. Heritability estimates were 0.26, 0.25, 0.10, 0.06, 0.07, 0.06 and 0.03 for lactation milk yield (lmy), 305-day milk yield (305 dmy), lactation length (ll), dry period (dp), calving interval (ci), gestation length (Gl), and number of services per conception (nsc), respectively. Genetic correlations between milk yield and fertility traits ranged from 0.31 to 0.95 and phenotypic correlations ranged from –0.026 to 0.75. Breeding values were estimated and used to characterize genetic trends across the time period investigated. The results showed that the first lactation milk yield traits can be used as selection criteria for development of effective genetic improvement programme in turkish Brown swiss cattle. in addition, the results indicate the essential for scheming an effective schedule for growth of genetic variability to improve the milk yield traits of Brown swiss cattle in this farm by way of selection.

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Genetic analysis of lifetime productivity traits in goats

Archives Animal Breeding ◽

10.5194/aab-64-293-2021 ◽

2021 ◽

Vol 64 (2) ◽

pp. 293-304

Author(s):

Marie-Rosa Wolber ◽

Henning Hamann ◽

Pera Herold

Keyword(s):

Influencing Factors ◽

Milk Yield ◽

Genetic Correlations ◽

Milk Composition ◽

Breeding Value ◽

Pedigree Data ◽

Birth Cohorts ◽

Dairy Goats ◽

Protein Ratio ◽

Extended Lactation

Abstract. As part of the development of a breeding programme for dairy goats to support sustainable production in organic farming, the overall aim of the present study was to identify traits that can be used as selection criteria for lifetime productivity. The breeding goal is high lifetime productivity with a good milk composition and a good level of robustness in the animals, especially within grazing systems. The lifetime productivity traits analysed in this study were the length of the animal's productive life (LPL), the lifetime efficiency (LEF), and the animal's milk yield efficiency with respect the total number of lactating days (EDM); the average fat and protein content over the animal's lifetime, the fat-to-protein ratio (FPR), and the urea content (UC) were also included as indirect health traits and potential indicators of robustness in dairy goats. The traits' influencing factors, phenotypic and genetic correlations, and heritability were examined. Furthermore, factors influencing milk yield in the first 120 d of lactation during the animal's first lactation were analysed. The aim of investigating milk yield during the first lactation was to consider a connection between early performance recoding in the life of an animal and LPL, LEF, and EDM. In total, lactation and pedigree data from 9192 dairy goats of the common German Fawn (GF) and German White (GW) dairy breeds were used. Prerequisites were that the investigated birth cohorts had to have definitively completed their lifetime production, and a high proportion of goats had to have completed extended lactation. The data analysis showed that breed did not influence milk yield. The age at first kidding, the average number of kids born during the animal's lifetime, and the lactation length did influence the milk yield. This applies to the milk yield during the first 120 d of the first lactation as well as over the lifetime of an animal. Considering the influencing factors, the results showed that LPL was genetically and positively correlated with LEF and EDM (rg=0.65±0.06 and 0.29±0.07 respectively). The heritability of LPL, LEF, and EDM was 0.22±0.02, 0.29±0.03, and 0.44±0.03 respectively. Regarding the lifetime milk composition, the heritability of protein and fat content, FPR, and UC was 0.63±0.02, 0.52±0.02, 0.32±0.03, and 0.47±0.04 respectively. The heritability regarding the milk yield during the first 120 d of the first lactation was 0.34±0.03. We found that the milk yield during the first 120 d of the first lactation showed a genetic correlation with LPL, LEF, and EDM of 0.30±0.08, 0.82±0.04, and 0.89±0.03 respectively. In summary, LPL, LEF, and EDM are suitable traits to indicate lifetime productivity in dairy goats. An additional indicator for lifetime productivity could be the milk yield during the first 120 d of the first lactation. Moreover, FPR and UC appear to be promising indicator traits for the health and robustness of dairy goats. The present study showed the importance of considering extended lactation in selective breeding programmes as well as the importance of modelling extended lactation in the breeding value estimation.

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Estimation the Genetic Parameters for Milk Yield in Romanian Spotted, Simmental Type Cattle Breed

Archiva Zootechnica ◽

10.2478/azibna-2021-0017 ◽

2021 ◽

Vol 24 (2) ◽

pp. 105-121

Author(s):

Rodica Stefania Pelmuș ◽

Mircea Cătălin Rotar ◽

Cristina Lazăr ◽

Răzvan Alexandru Uță

Keyword(s):

Animal Model ◽

Milk Yield ◽

Genetic Parameters ◽

Genetic Correlations ◽

Cattle Breed ◽

Random Regression ◽

Breeding Value ◽

Regression Test ◽

Fat Yield ◽

Heritability Estimates

Abstract The aim of this study was to estimate the genetic parameters for test-day traits milk yield and the breeding value in Romanian Spotted, Simmental type cattle. Random regression test-day animal model was used to estimate the genetic parameters. The number of records were 2062 test-day from 302 cows. The data were obtained from Romanian Breeding Association Romanian Spotted, Simmental type. The heritability estimates values for milk yield ranged between 0.377 and 0.417. The heritability for fat test-day yield in our study was low the values ranged between 0.117 and 0.236 and for protein test-day yield was medium, the values ranged between 0.308 and 0.372. The breeding value for the best ten cows for milk yield ranged from 1946.57 to 3250.38 kg, for fat yield were between 64.92 and 98.86 kg and for protein ranged from 67.26 to 102.21 kg. The correlations between test-day milk yields ranging from 0.28 to 1. Genetic correlations between test day fat and protein yields were high.

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Genetics and Phenotypic Analysis of First Lactation Production, Reproduction and Part Lactation Traits in Frieswal Cattle

Agricultural Science Digest - A Research Journal ◽

10.18805/ag.d-5133 ◽

2021 ◽

Author(s):

Rajeev . ◽

Ravinder Kumar

Keyword(s):

Milk Yield ◽

Cattle Breed ◽

Phenotypic Correlation ◽

Dry Period ◽

Phenotypic Analysis ◽

Climatic Regions ◽

Lactation Length ◽

Service Period ◽

Total Milk ◽

Reproduction Traits

Background: The Frieswal cattle a crossbred cattle breed having 62.50 per cent of exotic (inheritance) having total lactation milk yield of 4000 Kg with average lactation length 300 days (PDC Annual Report, 2015-16). Presently, the Frieswal Animal is mainly maintained at 36 Military Farms located in various agro-climatic regions in the country. Methods: The present study was undertaken on first Part lactation production, reproduction and part lactation records of 1470 Frieswal cows maintained over a period of 10 years (2003-2012) two military farms viz Meerut and Ambala at CIRC, Meerut. Result: The estimate the heritability of production and reproduction traits were 0.29 ±0 .098,0.142±.081, 0.130±0.079, 0.087 ±.074, 0.631 ± 0.255, 0.345 ± 0.247 and 0.100 ± 0.153 for standard 305 days milk yield, age of first calving (AFC), First lactation total milk yield (FLMY), First lactation 305-day or less milk yield (FL305DMY), First lactation length (FLL), Inter calving interval (ICI), First dry period (FDP), First Service Period (FSP), respectively. All the genetic and phenotypic correlation among different production and reproduction traits were high and positive. The estimates of heritability of first lactation individual part monthly yields in Frieswal cattle were found to be 0.100 ± 0.069, 0.105 ± .070, 0.100 ± 0.069, 0.112 ± 0.071, 0.204 ± 0.086, 0.160±0.079, 0.176 ± 0.081, 0.221 ± 0.088, 0.213 ± 0.087 and 0.192 ± 0.09, respectively.

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First Lactation Genetic Parameters of Buffaloes Under Multiple Trait Animal Model

Journal of Agricultural and Marine Sciences [JAMS] ◽

10.24200/jams.vol2iss0pp27-30 ◽

1997 ◽

Vol 2 ◽

pp. 27

Author(s):

M.S. Khan ◽

K. Z. Gondal ◽

S. H. Raza ◽

A. A. Asghar

Keyword(s):

Animal Model ◽

Milk Yield ◽

Genetic Parameters ◽

Genetic Correlations ◽

Calving Interval ◽

Economic Traits ◽

Dry Period ◽

Multiple Trait ◽

Lactation Length ◽

The Relationship

There are many computational algorithms available for estimating (co) variance components under multiple trait models. Paternal half-sib correlation is the most commonly used method for estimating genetic parameters of economic traits of buffaloes. The models used are Single trait, ignoring covariances with other traits. The relationship matrices are also ignored. This study was undertaken to estimate genetic parameters of first lactation traits of Nili Ravi buffaloes under a multiple trait animal model. First lactation milk yield was l7% heritable when traits such as age of calving interval were considered. Age at first calving was 18% heritable with very low genetic correlations with other traits. Lactation length, dry period and calving interval were lowly heritable traits. Estimates differed by inclusion or exclusion of traits due to the covariances present among all these traits. A high genetic correlation between mills yield and lactation length (0.74) does not warrant the selection of milk yield as the only trait.

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Milk yield genetic parameters estimated using random regression model in Teleorman Black Head Sheep

Archiva Zootechnica ◽

10.2478/azibna-2021-0004 ◽

2021 ◽

Vol 24 (1) ◽

pp. 44-52

Author(s):

Florin Popa ◽

Horia Grosu ◽

Mircea-Cătălin Rotar ◽

Rodica Ștefania Pelmuș ◽

Cristina Lazăr ◽

...

Keyword(s):

Milk Yield ◽

Genetic Parameters ◽

Genetic Correlations ◽

Random Regression ◽

Breeding Value ◽

First Year ◽

Sheep Population ◽

Random Regression Model ◽

Regression Test ◽

Black Head

Abstract Genetic parameters are important in breeding program of sheep. For the genetic evaluation of sheep was used the random regression test-day animal model. This model was better economic that another models because reduces generation interval and reduces the costs with test-days records. Data consisted of 1050 test-day of 403 ewes in first year (2017), 752 test-day of 374 ewes in second year (2018) and 1164 test-day of 319 ewes in third year (2019). The main goal to achieve the objectives of this research were the estimation of the genetic parameters important in obtaining the breeding value by calculation heritability for test-day milk yields and the correlations between test-days milk yields, for Teleorman Black Head Sheep population from Teleorman county in three different years. The heritability for test-day milk yield ranged from 0.150 to 0.237 in 2017, from 0.212 to 0.600 in 2018 and in 2019 from 0.186 to 0.403. Genetic correlations between sheep test-days milk yield in 2017 were positive and high.

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Estimates of genetic parameters for milk and fat yield for the first three lactations in British Friesian cows

Animal Science ◽

10.1017/s0003356100041519 ◽

1984 ◽

Vol 38 (3) ◽

pp. 313-322 ◽

Cited By ~ 32

Author(s):

Karin Meyer

Keyword(s):

Milk Yield ◽

Fixed Effects ◽

Mixed Model ◽

Genetic Correlations ◽

Data Sets ◽

Lactation Length ◽

Maximum Likelihood Procedure ◽

Fat Yield ◽

Variance And Covariance Components ◽

Estimate Variance

ABSTRACTA multivariate restricted maximum-likelihood procedure was used to estimate variance and covariance components between and within sires. This method, which considered all lactations simultaneously, accounted for the bias in later lactation records due to selection on dairy performance. Analysis was carried out for a mixed model with herd-year-seasons as fixed and sires as random effects, and fitting lactation length, calving age and month within season of calving as covariables. The data included 26 176 first, 19 978 second and 14 868 third lactation records for 679 test sires, and were analysed in 13 subsets. Additional records for proven sires, treated as fixed effects, were included to improve the data structure.Estimates for all components were higher in later than in earlier data sets, probably, to a large extent, because of a scale effect. Pooled estimates of heritabilities for lactations 1 to 3 were 0·28, 0·19 and 0·24 for milk yield, and 0·27, 0·21 and 0·25 for fat yield. Genetic correlations of 0·91, 0·91 and 0·95 for milk yield, and 0·91, 0·91 and 0·99 for fat yield, were found between lactations 1 and 2, 1 and 3, and 2 and 3, respectively. Results suggest that dairy performance in all lactations is almost identical genetically.

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A new way to measure milk yield persistency: a genetic point of view with application to Gyr (Bos indicus) cattle

Journal of Dairy Research ◽

10.1017/s0022029915000448 ◽

2015 ◽

Vol 82 (4) ◽

pp. 385-390 ◽

Cited By ~ 1

Author(s):

Rodrigo Junqueira Pereira ◽

Denise Rocha Ayres ◽

Lenira El Faro ◽

Aníbal Eugênio Vercesi Filho ◽

Rui da Silva Verneque ◽

...

Keyword(s):

Milk Yield ◽

Bos Indicus ◽

Genetic Correlations ◽

Deviance Information Criterion ◽

Information Criterion ◽

Point Of View ◽

Quadratic Model ◽

Cumulative Yield ◽

Genetic Covariance ◽

Lactation Length

The objective of this work was to estimate genetic parameters for a measure of persistency of milk yield and to evaluate its association with 305-d cumulative milk yield and lactation length. 12 346 records from 8202 dairy Gyr cows including lactations up to fifth calving were used. The measure of persistency was obtained from one of the parameters of a quadratic model that describes the cumulative yield across lactation as a function of days in milk. A three-trait multivariate analysis was done. Heritability and repeatability for persistency were 0·08 and 0·21, respectively. Deviance Information Criterion provided evidence that the additive genetic covariance between the measure of persistency studied and 305-d cumulative yield is zero. Genetic correlations between persistency and lactation length were 0·50 and 0·27 for first or all lactations, respectively. Milk yield persistency as measured in this study has low heritability. Selection for persistency can increase lactation length. The measure of milk yield persistency studied here is genetically independent of total milk yield and can be included in routine genetic evaluations of dairy cattle.

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