scholarly journals Estimation and comparison of conventional and genomic breeding values in Holstein cattle of Antioquia, Colombia

2015 ◽  
pp. 4739-4753 ◽  
Author(s):  
Juan Zambrano A ◽  
Juan Rincón F ◽  
Albeiro López H ◽  
Julián Echeverri Z
Keyword(s):  
Linear Regression ◽  
Milk Yield ◽  
Conventional Method ◽  
Regression Coefficient ◽  
Rank Correlation ◽  
Breeding Value ◽  
Fat Percentage ◽  
Linear Regression Coefficient ◽  
Genomic Breeding ◽  
Breeding Values

ABSTRACT Objetive. To estimate and compare breeding values (EBV) using the conventional method (BLUP) and genomic breeding values (MEBV and GEBV) estimated through bayes C method for milk yield and milk quality traits in dairy cattle in Antioquia, Colombia. Materials and methods. Two methods were used to estimate breeding values: BLUP to estimate conventional breeding value (EBV) and bayes C to estimate genomic values (MEBV and GEBV). The traits evaluated were: milk yield (PL), protein percentage (PPRO), fat percentage (PGRA) and score somatic cell (SCS). The methods (BLUP and bayes C) were compared using Person correlation (rp), Spearman rank correlation (rs) and linear regression coefficient (b). Results. The Pearson and Spearman correlations among EBVs and genomic values (MEBV and GEBV) (rpMEBV;EBV and rsGEBV;EBV) were greater than 0.93 and the linear regression coefficients of EBVs on genomic values (MEBV and GEBV) (bMEBV;EBV, and bGEBV;EBV) ranged between 0.954 and 1.051 in all traits evaluated. Conclusions. The predictions of genomic values (MEBV and GEBV), using bayes C method were consistent with the predictions of the EBVs estimate through the conventional method (BLUP) in conditions of high Colombian tropic, allowing to obtain high associations between the breeding values.

scholarly journals The Breeding Values of German Holstein Sires and the <i>DGAT1</i> Polymorphism

2007 ◽  
Vol 50 (2) ◽  
pp. 136-146
Author(s):  
J. Citek ◽  
V. Rehout ◽  
E. Hradecka ◽  
L. Vecerek ◽  
L. Panicke
Keyword(s):  
Milk Yield ◽  
Genetic Background ◽  
Protein Yield ◽  
Breeding Value ◽  
Fat Percentage ◽  
Female Population ◽  
Breeding Values ◽  
Dgat1 Gene ◽  
Milk Performance ◽  
Fat Yield

Abstract. The effect of the genotypes and alleles at nucleotide positions 10433 and 10434 of the DGAT1 gene on the breeding values for milk performance of German Holstein sires born in 1993 (n=66), and in 1998-2001 (n=200) was analyzed. The differences in breeding values had in both years the same trend. In the younger sires, the breeding value for fat percentage was higher by 0.42 % in the Lysine homozygotes compared to the Alanine homozygotes (P<0.001). A higher milk breeding value in the Alanine homozygotes (811 kg) was found compared to the Lysine homozygotes (256 kg) (P<0.001), and the fat yield breeding value was higher in the Lysine sires (DGAT1K/DGAT1K 29.6, DGAT1A/DGAT1A 15.9). The breeding value for the protein percentage was higher in the sires carrying the Lysine variant (0.02) than in the Alanine homozygotes (- 0.03, P<0.05), and the protein yield was higher in the Alanine homozygotes (DGAT1K/DGAT1K 10.9, DGAT1A/DGAT1A 25.0, P<0.001). Because of the high emphasis of the index on the protein yield, the relative breeding value for milk was 110 among Alanine homozygotes, and 104 among Lysine. Comparing old and young sires, the genetic background against which the effect of DGAT1 is evaluated has changed. The selection on breeding value for protein yield increased the prevalence of DGAT1A/DGAT1A genotypes in protein and milk yield, and in relative breeding value for milk. In the old group, there was the highest protein yield in the heterozygous sires DGAT1KA, it could be explained by another genetic background of the tested female population. Because the breeding value for fat percentage of heterozygous sires has lain within the values of homozygotes in both old and young sires, we assume the intermediary heredity on the locus. The differences of genotypic and allelic frequencies among old and young sires were not significant, however, there was certain tendency of increase of allele A (0.60 old sires, 0.64 young). On the results of this paper, the locus of DGAT1 offers information for evaluation of breed animals.

scholarly journals The effect of inbreeding on milk traits in Holstein cattle in the Czech Republic

2008 ◽  
Vol 51 (5) ◽  
pp. 415-425
Author(s):  
J. Bezdíček ◽  
J. Šubrt ◽  
R. Filipčík
Keyword(s):  
Czech Republic ◽  
Milk Production ◽  
Fixed Effects ◽  
Regression Coefficient ◽  
Breeding Value ◽  
Fat Percentage ◽  
Milk Traits ◽  
The Czech Republic ◽  
Breeding Values ◽  
Similar Tendency

Abstract. The objective of this study was to explore the effect of the level of inbreeding on the milk production (MP) and the breeding values (BV) of milk production. Data included cows calved in years 1990-2005 at farms in the Czech Republic. Inbred cows were grouped according to Fx coefficient (Fx = 1.25 %, Fx = 2.0–3.125 %, Fx = 4.0–12.5 % and Fx = total). MP and BV of inbred cows were compared with their outbred equals – half-sisters, sharing the same sire (n = 2,063), dam reached the same breeding value (±5 %) and their first calving happened in the same farm and at the same time (±2 months). The PROC GLM of SAS® with fixed effects (age at first calving, year of calving, number of lactations, first calving interval and relative breeding value of the sire and dam) was applied to all data. In the examined groups of Fx coefficient milk production of inbred cows at the first lactation decreased of −103.02, −236.8, −472.24 and −247.65 kg of milk. Also an insignificant increase of percentage of fat was found in most of the inbred groups: −0.0025, +0.1204, −0.0064 and +0.0708, as well as percentage of protein: −0.0063, +0.0365, −0.0346 and +0.0157. A similar tendency was also found when the milk production was represented by breeding values. Breeding value for milk in kg showed a decrease of −36.57, −43.55, −92.23 and −50.81 kg milk. Breeding value for fat percentage showed in inbred animals an increase of +0.0068, +0.0394, +0.0152 and +0.0251 %. A similar increase was also found in breeding value for protein percentage: +0.0015, +0.0216, −0.0035 and +0.0134 %. The Fx coefficient increasing by 1 % decreases milk production (regression coefficient) by 59.75 kg milk and increases fat and protein by +0.0112 % and +0.0030 %.

scholarly journals Genomic selection for white spot syndrome virus resistance in whiteleg shrimp boosts survival under an experimental challenge test

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Marie Lillehammer ◽  
Rama Bangera ◽  
Marcela Salazar ◽  
Sergio Vela ◽  
Edna C. Erazo ◽  
...  
Keyword(s):  
Genomic Selection ◽  
Genetic Improvement ◽  
White Spot Syndrome Virus ◽  
Random Mating ◽  
Challenge Test ◽  
White Spot ◽  
Breeding Value ◽  
Genomic Breeding ◽  
Breeding Values ◽  
White Spot Syndrome

AbstractWhite spot syndrome virus (WSSV) causes major worldwide losses in shrimp aquaculture. The development of resistant shrimp populations is an attractive option for management of the disease. However, heritability for WSSV resistance is generally low and genetic improvement by conventional selection has been slow. This study was designed to determine the power and accuracy of genomic selection to improve WSSV resistance in Litopenaeus vannamei. Shrimp were experimentally challenged with WSSV and resistance was evaluated as dead or alive (DOA) 23 days after infestation. All shrimp in the challenge test were genotyped for 18,643 single nucleotide polymorphisms. Breeding candidates (G0) were ranked on genomic breeding values for WSSV resistance. Two G1 populations were produced, one from G0 breeders with high and the other with low estimated breeding values. A third population was produced from “random” mating of parent stock. The average survival was 25% in the low, 38% in the random and 51% in the high-genomic breeding value groups. Genomic heritability for DOA (0.41 in G1) was high for this type of trait. The realised genetic gain and high heritability clearly demonstrates large potential for further genetic improvement of WSSV resistance in the evaluated L. vannamei population using genomic selection.

Genetic line × concentrate level interactions for milk production and feed efficiency in dairy cattle

1992 ◽  
Vol 72 (2) ◽  
pp. 227-236 ◽  
Author(s):  
S. Wang ◽  
G. L. Roy ◽  
A. J. Lee ◽  
A. J. McAllister ◽  
T. R. Batra ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Milk Yield ◽  
Feed Efficiency ◽  
Production Efficiency ◽  
Breeding Value ◽  
Environment Interaction ◽  
Genetic Line ◽  
Breeding Values ◽  
Concentrate Level

Early first lactation data from 2230 cows of five research herds of Agriculture Canada were used to study the interactions of genetic line by concentrate level, and sire by concentrate level and to estimate breeding values of sires. The genetic lines were defined as Holstein (H), Ayrshire (A), and H × A or A × H (C). The interactions of sire by concentrate level were studied separately using progeny of five different mating groups: G1, H sires mated to H cows; G2, H sires mated to H, A and C cows; G3, A sires mated to A cows; G4, A sires mated to H, A and C cows; and G5, C sires mated to C cows. The interactions of genetic line by concentrate were significant (P < 0.05) for 56- to 112-d milk yield (MY112), corrected 56-to 112-d milk yield (CMY112) and feed efficiency (EFMY112 = MY112/TDN consumption). H and C cows produced more milk and were more efficient than A cows when fed high levels of concentrate. The H cattle possess a greater capacity to convert the concentrate into milk, while A cattle reach maximum milk production earlier than H cattle. The interactions of sire by concentrate were statistically significant for MY112, EFMY112 and CMY112 in G1 (P < 0.01), and G2 (P < 0.01). The breeding values of sires for MY112 were estimated using BLUP for all of the H line (BLUP-T), for half of the population consuming low amounts of concentrate (BLUP-L) and for the other half consuming high amounts (BLUP-H). A significant reranking of sires was found among the three groups. Key words: Genotype × environment interaction, milk production, efficiency, breeding value, dairy cattle

scholarly journals Estimation of genomic breeding values for milk yield in UK dairy goats

2015 ◽  
Vol 98 (11) ◽  
pp. 8201-8208 ◽  
Author(s):  
S. Mucha ◽  
R. Mrode ◽  
I. MacLaren-Lee ◽  
M. Coffey ◽  
J. Conington
Keyword(s):  
Milk Yield ◽  
Dairy Goats ◽  
Genomic Breeding ◽  
Breeding Values

Mathematical coupling of data: correction of a common error for linear calculations

1986 ◽  
Vol 60 (1) ◽  
pp. 335-343 ◽  
Author(s):  
L. F. Moreno ◽  
H. H. Stratton ◽  
J. C. Newell ◽  
P. J. Feustel
Keyword(s):  
Linear Regression ◽  
Regression Coefficient ◽  
Pearson Correlation ◽  
Pearson Correlation Coefficient ◽  
Linear Regression Coefficient ◽  
Common Error ◽  
The Common ◽  
The Relationship ◽  
Scientific Environment ◽  
Mathematical Coupling

The need frequently arises in the scientific environment to investigate the relationship between quantities that are calculated from a common set of directly measured variables. However, the presence of error in the common set of measured variables distorts the relationship among the calculated quantities and can lead to incorrect conclusions. This article presents a method of correcting for such distortions in the Pearson correlation coefficient and in the linear regression coefficient for linear calculations involving two measured variables. The errors considered may be either independent of, or proportional to, the value of the variable being measured. Tests to determine whether these popular coefficients have values significantly different from zero are presented. An example from the physiology literature is presented to illustrate these techniques.

scholarly journals To the question of evaluating the efficiency of linear breeding in Simmental cattle breed different origin

2020 ◽  
Vol 197 (6) ◽  
pp. 49-57
Author(s):  
L. Ignat'eva ◽  
A. Konte ◽  
A. Sermyagin
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Russian Federation ◽  
Mixed Model ◽  
Breeding Value ◽  
Production Traits ◽  
Fat Percentage ◽  
Foreign Origin ◽  
Simmental Cattle ◽  
The Impact

Abstract. The purpose of the research – to study the impact of related foreign pedigree resources on the Russian population of Simmental cattle. Research Methods. Studies carried out on cows of Simmental breed of different linear origin and genotypes in five regions of Russian Federation: Voronezh, Oryol, Kursk, Belgorod regions and Altayskiy krai, the total number was 35147 cows. EBV estimates were calculated through RENUMF 90, REMLF 90 and BLUPF 90 programs. Evaluation of the components of the variants of genetic and paratypical nature was carried out using the method restricted maximum likelihood – REML. Results. It is established that the largest share for animals foreign origin are 60.7 %, including German-Austrian bloodlines 46.6 % and Holsteins – 14.1 %. 39.3 % of animals are the Russian origin, which 13.5 % representatives of German-Austrian bloodlines, 17.8 % are Holsteins and 8.0 % are from domestic (Russian) bloodlines. In the general population of Simmental breed, the best productivity was shown by cows of German-Austrian bloodlines at the level of 5351 kg of milk with fat percentage 4.00 % and protein percentage 3.19 %. Representatives of German-Austrian bloodlines origin for milk yield showed the estimated breeding value (EBV) for Simmental bulls in the common population by +9.2 kg and fat percentage by +0.012 %. The negative EBV values were obtained for Russian bloodlines by –22.8 kg, and Holstein bloodlines took an intermediate position among all lines (+2.3 kg). The first calving cows, which were in the herd at the time of research, the best milk production traits were found in individuals of foreign origin, both for Holstein (6096 kg of milk with a fat content of 3.96 % and protein 3.23 %), and German-Austrian bloodlines (milk yield 5763 kg, fat 4.04 % and protein 3.19 %), with high estimates of breeding value for milk yield +33.3 kg and +15.2 kg, respectively. Low values of milk productivity among all evaluated animals were observed for animals of Russian bloodlines by 4469 kg milk 3.87 % fat and 3.20 % protein in milk. The first calving cows of Russian origin in foreign bloodlines origin exceeded their peers in Russian Simmental bloodlines in milk production by +608 kg of milk and +0.15 % fat (signed to German-Austrian bloodlines) and +924 kg and +0.06 % fat (signed to Holstein bloodlines). The average values of EBV in these lines, although had low values by –5.6 kg milk for Holstein and by +2.7 kg milk for German-Austrian bloodlines, but was significantly higher than for Russian lines by –12.7 kg milk. Scientific novelty. For the first time, scientific research aimed at improving the system of prediction to breeding abilities of bulls on dairy productivity of daughters based on optimization structure of equations of the mixed model (BLUP, the best linear unbiased prediction) has been carried out for the population Simmental cattle of Russian Federation.

scholarly journals The Effect Of Non Performance Loan (Npl) And Loan Deposit Ratio (Ldr) On Return On Asset (Roa) In Pt. Bank Rakyat Indonesia (Persero), Tbk

2021 ◽  
Vol 2 (1) ◽  
pp. 83-96
Author(s):  
Agung Rahmat Ilahi ◽  
Karona Cahya Susena ◽  
Wagini Wagini
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Regression Coefficient ◽  
Financial Statements ◽  
Coefficient Of Determination ◽  
Linear Regression Equation ◽  
Linear Regression Coefficient ◽  
Return On Assets ◽  
Collection Method ◽  
Regression Test

The purpose of this study was to determine the effect of Non Performance Loans (NPL) and Loan Deposit Ratio (LDR) on Return on Assets (ROA) at PT. Bank Rakyat Indonesia (Persero), Tbk. The sample in this study is the financial statements at PT. Bank Rakyat Indonesia (Persero), Tbk for the period 2010 to 2019 The data collection method uses the documentation method. The data analysis used is multiple linear regression, coefficient From the calculation of the multiple linear regression equation, it can be seen  that the results of the regression test: Y = 14.944– 1.072 X1 - 0.099X2. The coefficient of determination obtained is 0.846. This means that X1 (Non Performance Loan (NPL)) and X2 (Loan Deposit Ratio (LDR)) have an effect on Return on Assets (ROA) (Y) by 84.6% while the rest (100% - 84.6% = 15.4%) is influenced by other variables not examined in this study. The results of the t test show that there is a significant effect between NPL and LDR on Return on Assets (ROA) (Y) at PT. Bank Rakyat Indonesia (Persero), Tbk partially or separately The results of the F test show that there is a significant influence between NPL and LDR on Return on Assets (ROA) (Y) at PT. Bank Rakyat Indonesia (Persero), Tbk simultaneously or collectively.of determination and hypothesis testing.

scholarly journals Analysis of Consumer Purchasing Decisions through Product Quality and Promotion on Pam Pam Fried Chicken Products in the District of Pamulang, South Tangerang City

2020 ◽  
Vol 10 (1) ◽  
pp. 91
Author(s):  
Udin Ahidin
Keyword(s):  
Linear Regression ◽  
Product Quality ◽  
Regression Coefficient ◽  
Hypothesis Test ◽  
Test Reliability ◽  
Coefficient Of Determination ◽  
Simple Linear Regression ◽  
Purchasing Decisions ◽  
Linear Regression Coefficient ◽  
Regression Test

This study is to determine the effect of product quality partially on consumer purchasing decisions on Pam Pam Fried Chicken in Pamulang Subdistrict Area, to determine the effect of partial promotion on consumer purchasing decisions on Pam Pam Fried Chicken in Pamulang Subdistrict Area, to determine the effect of product quality and promotion together with consumer purchasing decisions on Pam Pam Fried Chicken in the Pamulang District Area, and to find out the company's efforts to improve consumer purchasing decisions on Pam Pam Fried Chicken in the Pamulang District Region .Quantitative associative research methods with a verification approach. The population in this study Pam-Pam Fried Chicken consumers amounted to 7,108 consumers in the District of Pamulang, while the sample taken was 100 respondents using the slovin formula, then a proportional random sampling was done because the research object contained 4 (four) branches. Collecting observational data, questionnaires and literature studies. The data analysis method uses validity test, reliability test, classic assumption test, simple linear regression test, multiple linear regression test, correlation coefficient test (product moment), determination coefficient test, hypothesis test (t-test and f-test) . The results showed that there was a positive and significant effect between product quality partially on purchasing decisions. It can be seen from the simple linear regression coefficient of 0.65. The coefficient of determination is 0.6%, t count 2.719> t table 1.984. There is a positive and significant influence between promotion partially on purchasing decisions. It can be seen from the simple linear regression coefficient of 0.32. The coefficient value of determination is 0.2, t count 2.112> t table 1.984.

scholarly journals Comparison of BLUP and Bayesian methods for different sizes of training population in genomic selection

2020 ◽  
Vol 44 (5) ◽  
pp. 994-1002
Author(s):  
Samet Hasan ABACI ◽  
Hasan ÖNDER
Keyword(s):  
Genomic Selection ◽  
Milk Yield ◽  
Predictive Ability ◽  
Breeding Value ◽  
Training Population ◽  
Breeding Values ◽  
Value Prediction ◽  
The Usa ◽  
Population Sizes ◽  
Estimated Breeding Values

This study aims to compare the accuracy of pedigree-based and genomic-based breeding value prediction for different training population sizes. In this study, Bayes (A, B, C, Cpi) and GBLUP methods for genomic selection and BLUP method for pedigree-based selection were used. Genomic and pedigree-based breeding values were estimated for partial milk yield (158 days) of Holstein cows (400 individuals) from a private enterprise in the USA. For this aim, populations were created for indirect breeding value estimates as training (322–360) and test (78–40) populations. In animals genotyped with a 54k SNP, the marker file was encoded as –10, 0, and 10 for AA, AB, and BB marker genotypes, respectively. Bayes and GBLUP methods were performed using GenSel 4.55 software. A total of 50,000 iterations were used, with the first 5000 excluded as the burn-in. Pedigree-based breeding values were estimated by REML using MTDFREML software employing an animal model. Correlations between partial milk yield and estimated breeding values were used to assess the predictive ability for methods. Bayes B method gave the highest accuracy for the indirect estimate of breeding value.

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