scholarly journals First Lactation Genetic Parameters of Buffaloes Under Multiple Trait Animal Model

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.

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

2014 ◽  
Vol 14 (3) ◽  
pp. 545-557 ◽  
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.

Estimates of phenotypic and genetic parameters of some measures of efficiency of milk production in buffaloes

1978 ◽  
Vol 91 (1) ◽  
pp. 181-183
Author(s):  
S. S. Bhalaru ◽  
J. S. Dhillon
Keyword(s):  
Body Weight ◽  
Least Squares ◽  
Milk Production ◽  
Milk Yield ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Calving Interval ◽  
Lactation Length ◽  
Selection Of

SummaryThe least-squares means for first lactation milk yield, yield per 100 kg of body weight at first calving, yield per day of first lactation length, yield per day of first calving interval and yield per day of age at second calving were 1692 ± 28·2, 339·8 ± 7·30, 5·51 ± 0·97, 3·37 ± 0·81 and 1·07 ± 0·03 kg and the heritabilities of those traits were 0·192 ± 0·086, 0·078 ± 0·078, 0·287 ± 0·096, 0·192 ± 0·086 and 0·305 ± 0·097 respectively. The genetic correlations of first lactation milk yield with various measures of efficiency of milk production (except with yield per 100 kg of body weight) were positive and high (> 0·80). These results indicate that milk yield per day of age at second calving may be used for the selection of buffaloes.

Estimation of genetic parameters of fertility traits in Chinese Holstein cattle

2014 ◽  
Vol 94 (2) ◽  
pp. 281-285 ◽  
Author(s):  
Gang Guo ◽  
Xiangyu Guo ◽  
Yachun Wang ◽  
Xu Zhang ◽  
Shengli Zhang ◽  
...  
Keyword(s):  
Genetic Parameters ◽  
Genetic Correlations ◽  
Holstein Cattle ◽  
Calving Interval ◽  
Strongly Correlated ◽  
Multiple Trait ◽  
Chinese Holstein ◽  
Chinese Holstein Cattle ◽  
Fertility Traits ◽  
Estimation Of Genetic Parameters

Guo, G., Guo, X., Wang, Y., Zhang, X., Zhang, S., Li, X., Liu, L., Shi, W., Usman, T., Wang, X., Du, L. and Zhang, Q. 2014. Estimation of genetic parameters of fertility traits in Chinese Holstein cattle. Can. J. Anim. Sci. 94: 281–285. The objective of this study was to estimate genetic parameters for fertility traits in Chinese Holstein heifers and cows. Data of 20169 animals with 42106 records over a period of 10 yr (2001–2010) were collected from Sanyuan Lvhe Dairy Cattle Center in Beijing, China. Traits included age at first service (AFS), number of services (NS), days from calving to first service (CTFS), days open (DO), and calving interval (CI). Genetic parameters were estimated with multiple-trait animal model using the DMU software. Heritability estimates for AFS, NS, CTFS, DO and CI were 0.100±0.012, 0.040±0.017, 0.034±0.011, 0.053±0.019 and 0.056±0.014, respectively. Genetic correlations between traits observed ranged from −0.13 to 0.99. Genetic correlations between AFS with NS, CTFS, DO and CI were −0.31, 0.15, −0.13 and −0.15, respectively. Calving interval was strongly correlated with NS, CTFS and DO (0.49–0.99), and DO showed strong correlation with NS and CTFS (0.49 and 0.58, respectively). The genetic correlation between CTFS and NS was negative moderate (−0.25). Results were in range with previous literature estimates and can be used in Chinese Holstein genetic evaluation for fertility traits.

scholarly journals Estimation of Genetic and Phenotypic Parameters for Udder Morphology Traits in Different Dairy Sheep Genotypes

2017 ◽  
Vol 65 (1) ◽  
pp. 105-110
Author(s):  
Pavol Makovický ◽  
Milan Margetín ◽  
Peter Makovický
Keyword(s):  
Animal Model ◽  
Maximum Likelihood ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Restricted Maximum Likelihood ◽  
Primary Data ◽  
Dairy Sheep ◽  
Multiple Trait

Knowledge of genetic parameters is the basis of sound livestock improvement programmes. Genetic parameters have been estimated for linear udder traits: Udder depth (UD), Cistern depth (CD), Teat position (TP), Teat size (TS) and external udder measurements: Rear udder depth (RUD), Cistern depth (CDe), Teat length (TL) and Teat angle (TA) – 1275 linear assessments (381 ewes) and 1185 external udder measurements (355 ewes) were included in the analysis for each character of 9 genotypes. Nine breeds and genotypes were included in these experiments: purebred Improved Valachian (IV), Tsigai (T), Lacaune (LC) ewes, and IV and T crosses with genetic portion of Lacaune and East Friesian (EF) – 25 %, 50 % and 75 %. Primary data were processed using restricted maximum likelihood (REML) methodology and the multiple‑trait animal model, using programs REMLF90 and VCE 4.0. High genetic correlations were found between UD and RUD (0.86), CD and CD(e) (0.93), TP and TA (0.90), TS and TL (0.94). The highest heritabilities were estimated for exact measurements of TL and CD (0.35–0.39) and subjectively assessed TA and TS (0.32 – 0.33).

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

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.

scholarly journals Genetic Parameters for Age at First Calving and First Calving Interval of Beef Cattle

Animals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 2122
Author(s):  
Michaela Brzáková ◽  
Jindřich Čítek ◽  
Alena Svitáková ◽  
Zdeňka Veselá ◽  
Luboš Vostrý
Keyword(s):  
Beef Cattle ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Performance Testing ◽  
Breeding Strategy ◽  
Relationship Matrix ◽  
Calving Interval ◽  
Data Set ◽  
Age At First Calving ◽  
The Relationship

The objective of this study was to estimate genetic parameters for age at first calving (AFC) and first calving interval (FCI) for the entire beef cattle population and separately for the Charolais (CH) and Aberdeen Angus (AA) breeds in the Czech Republic. The database of performance testing between the years 1991 and 2019 was used. The total number of cows was 83,788 from 11 breeds. After editing, the data set contained 33,533 cows, including 9321 and 4419 CH and AA cows, respectively. The relationship matrix included 85,842 animals for the entire beef population and 24,248 and 11,406 animals for the CH and AA breeds, respectively. A multibreed multitrait animal model was applied. The estimated heritability was low to moderate. Genetic correlations between AFC and FCI varied depending on the breeds from positive to negative. Differences between variance components suggest that differences between breeds should be considered before selection and breeding strategy should be developed within a breed.

scholarly journals Genetic parameters for test-day milk yield in tropical Holstein Friesian cattle fitting a multiple-lactation random regression animal model

1970 ◽  
Vol 47 (3) ◽  
pp. 352-361
Author(s):  
S. Meseret ◽  
E. Negussie
Keyword(s):  
Animal Model ◽  
Milk Yield ◽  
Genetic Improvement ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Random Regression ◽  
Likelihood Method ◽  
Holstein Friesian ◽  
Heritability Estimates ◽  
Friesian Cattle

Accurate estimates of genetic parameters are essential for genetic improvement of milk yield in dairy cattle and for setting up breeding programmes. Estimates of genetic parameters from test-day models, particularly for Holstein Friesian cattle maintained in tropical environments, are scant in the literature. The objective of this study was therefore to estimate genetic parameters for milk yield by fitting a multiple-lactation random regression animal model (RRM) based on data from Ethiopian Holstein Friesian herds. Data were used from the first three lactations of cows that calved between 1997 and 2013. The data comprised 13 421 test-day milk yield records from 800 cows from two large dairy herds. Variance components were estimated using the average information restricted maximum likelihood method fitting an RRM. Heritability estimates for first, second, and third lactations ranged from 0.20 to 0.26, 0.15 to 0.27, and 0.17 to 0.28, respectively. Heritability estimates ranging from 0.15 to 0.28 indicate that effective genetic improvement should be accompanied by a corresponding improvement of the production environment. Across-lactation genetic correlations between first and second, second and third, and first and third lactations, expressed on a 305-day yield basis, were 0.88, 0.83, and 0.70, respectively. These genetic correlations, less than or equal to 0.88, indicate that different lactations are different traits. For an accurate evaluation of the genetic merit of animals for milk yield, lactations should be treated as different, but correlated traits in a multiple-lactation analysis.Keywords: Genetic correlation, heritability, Legendre polynomial, test-day model

scholarly journals Holsteins in Puerto Rico: II. Influence of Lactation Length, Days Dry, Days Open, and Calving Interval on Production Traits

1969 ◽  
Vol 60 (4) ◽  
pp. 540-550
Author(s):  
J. K. Camoens ◽  
R. E. McDowell ◽  
L. D. VanVleck ◽  
J. D. Rivera Anaya
Keyword(s):  
Puerto Rico ◽  
Milk Yield ◽  
Phenotypic Correlation ◽  
Calving Interval ◽  
Production Traits ◽  
Dry Period ◽  
Lactation Length ◽  
Order Of Magnitude ◽  
Days Open ◽  
Fat Yield

Records of high grade or purebred Holsteins in 62 herds on DHIA recording in Puerto Rico were used to determine phenotypic correlations of lactation length, days dry prior to lactation, days open during lactation, and interval from previous parturition (calving interval) to lactation, milk and fat yields, and fat percent. Both milk and fat yields had a significant (P < .05) positive phenotypic correlation with lactation length, calving interval, and days open (0.178 to 0.658), hut fat percent had a low relation to these traits (-0.023 to +0.014). Lactation length, dry period, days open, and calving interval were regressed on milk yield, fat yield, and fat percent. The combined contribution of these variables to variation in milk yield was 44.4%. Days open, days dry, and calving interval accounted for only 13.4% of the variation in milk yield. Days dry and days open together accounted for 9.6% of the variation, and days dry, plus calving interval, made up 6.0%, of the variation. The values for fat yield were slightly lower but followed a similar pattern as for milk yield. The four variables combined contributed only 0.23% to the variance in fat percent. Total milk yield and fat yield were inf1uenced by lactation length, calving interval, and days dry in descending order of magnitude. Days open had comparatively little influence on either milk or fat yields. Length of dry period influenced fat percent more than any other variable but to little extent. Since the majority of the variation in milk and fat yields attributed to the four variables was due to lactation length, it appears that in Puerto Rico selection with emphasis on lactation yields is unlikely to decrease fertility.

Milk production in East African zebu cattle

1962 ◽  
Vol 4 (3) ◽  
pp. 329-336 ◽  
Author(s):  
E. B. Galukande ◽  
P. Mahadevan ◽  
J. G. Black
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
High Standard ◽  
Standard Errors ◽  
Zebu Cattle ◽  
Calving Interval ◽  
Average Yield ◽  
East African ◽  
Dry Period ◽  
Lactation Length

An analysis has been made of milk production data from indigenous East African zebu cattle at the Baraton, Maseno and Sangalo Livestock Improvement Centres in Kenya, covering a period of twenty-five to thirty years.The relationships between milk production and length of lactation, dry period, calving interval, month of calving and age were examined. Lactation length accounted for from 53% to 66% of the total variance in milk yield. Variations in length of dry period caused significant differences in milk yield between, but not within cows. Increasing length of previous calving interval improved current lactation milk yield but month of calving had no significant effect. Yield increased from first to second lactation by 8% after which it remained relatively constant up to the fifth lactation. Age at first calving was positively correlated with first lactation milk yield.Intra-herd repeatabilities were 0·55 for milk yield, 0·38 for lactation length, 0·17 for calving interval and 0·12 for dry period. The highest estimates of heritability were those obtained for lactation yield and length (0·5); the lowest, for calving interval, was close to zero. All heritability estimates had high standard errors. The probable genetic improvement in milk production achieved by the selection practised in the herds was estimated as ranging from zero to 0·15% of the average yield per year.

Combining direct and correlated traits into an aggregate index for dairy cattle fertility

2007 ◽  
Vol 2007 ◽  
pp. 64-64
Author(s):  
Stefano Biffani ◽  
Fabiola Canavesi ◽  
Maurizio Marusi
Keyword(s):  
Animal Model ◽  
Dairy Cattle ◽  
Milk Yield ◽  
Genetic Evaluation ◽  
Conception Rate ◽  
Calving Interval ◽  
Multiple Trait ◽  
Breeding Values ◽  
Breeding Goal ◽  
Aggregate Index

In January 2006, ANAFI (Italian Holstein Breeders Association) introduced a genetic evaluation for fertility based on a multiple-trait animal model (Biffani et al., 2005), which included the following traits: days from calving to first insemination (DTFS), calving interval (CI), first-service non return rate to 56 d (NR56), angularity (ANG) and mature equivalent milk yield at 305 d (ME305). Breeding values have been subsequently combined in an aggregate index (T), with the breeding goal to increase conception rate (CR). This paper will show how the breeding values have been combined into an aggregate index. At the same time the efficiency of selecting on alternative aggregate indexes versus the official aggregate index is presented.

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