scholarly journals The evaluation of breeding value of simmental bulls for milk performance in Serbia

2011 ◽  
Vol 27 (2) ◽  
pp. 127-135
Author(s):  
V. Pantelic ◽  
M. Plavsic ◽  
S. Trivunovic ◽  
S. Aleksic ◽  
Lj. Sretenovic ◽  
...  
Keyword(s):  
Milk Fat ◽  
Mixed Model ◽  
Random Effect ◽  
Breeding Value ◽  
Agricultural Producers ◽  
Additive Gene ◽  
Milk Performance ◽  
The Republic ◽  
One Year ◽  
Lactation Duration

The basis for selection work is knowledge of the quality of bull sires used for conception, as well as how the major traits are passed on to the progeny. BLUP method (Best Linear Unbiased Prediction) is the basis of the most favourable solution for evaluation of additive gene value in cattle production, and it is implemented in various variants depending on the structure of data used. This research included 2.121 Simmental first cavers under control, with lactations completed within one year. All first calvers were located on holdings of individual agricultural producers on the territory of the Republic of Serbia. Evaluation of the bull breeding value for lactation duration, milk production, milk fat yield, yield of 4% FCM and percentage of milk fat, was carried out by using the mixed model (BLUP), the calculation included random effect of bull sire and fixed effect of the region, year and season of calving. In this study, bull sires which had in two or three regions over 20 daughters - first calvers of Simmental breed. Number of first calving heifers ranged from 22 to 215 animals per bull sire. By using BLUP method in evaluation of breeding value of bulls in terms of yield of milk, milk fat, content of milk fat and 4% FCMI and by ranking, results were obtained showing superiority and inferiority of breeding males.

scholarly journals Phenotypic correlation of traits of production and reproduction of Simmental cows in different regions of Serbia

2019 ◽  
Vol 35 (3) ◽  
pp. 219-228
Author(s):  
Vlada Pantelic ◽  
Dragan Niksic ◽  
Nevena Maksimovic ◽  
Dusica Ostojic-Andric ◽  
Marina Lazarevic ◽  
...  
Keyword(s):  
Milk Fat ◽  
Breeding Value ◽  
Phenotypic Correlation ◽  
Agricultural Producers ◽  
Phenotypic Correlations ◽  
Service Period ◽  
Milk Performance ◽  
Breeding Selection ◽  
The Republic ◽  
One Year

The main goal of this research was to examine, using modern methods, the variability of phenotypic correlations of production performances and reproductive properties of Simmental cows reared on the farms of individual agricultural producers, in different breeding areas of the Republic of Serbia. The study of phenotypic correlations of milk performance and fertility properties in different regions of Serbia was carried out on a total of 3.056 primi parous Simmental heifers under control, with lactations completed within one year. The examined animals were reared on different individual farms, and mainly in very different conditions of housing and nutrition, depending on the breeding area. The study of phenotypic correlations included the following milk performance traits: milk yield, milk fat content, milk fat yield, yield of 4% corrected milk; and fertility properties: age at first calving and service period. The results of the study among other things indicate that although the phenotypic correlations between the fertility and milk performance properties show different degrees of variation, they should be taken into account in the final assessment of the breeding value of the animal, so that the breeding selection programs are more comprehensively designes.

ASSESSMENT BY ORIGIN OF BULLS OF DIFFERENT GENOTYPES ASSOCIATED WITH DISEASE RESISTANCE AND PRODUCT QUALITY

2020 ◽  
pp. 29-32
Author(s):  
Х.Х. ГИЛЬМАНОВ ◽  
С.В. ТЮЛЬКИН ◽  
Р.Р. ВАФИН ◽  
Н.С. ПРЯНИЧНИКОВА
Keyword(s):  
Milk Fat ◽  
Dairy Products ◽  
Research Work ◽  
Well Being ◽  
Breeding Value ◽  
Cattle Breeding ◽  
Holstein Breed ◽  
Milk Performance ◽  
Fat Yield ◽  
The Republic

Успешное развитие скотоводства с целью получения биологически безопасной молочной продукции высокого качества возможно лишь в условиях эпизоотического благополучия. Повышенная молочная продуктивность коров сопряжена со снижением резистентности к различным заболеваниям, включая лейкоз и мастит. Изучена оценка племенной ценности чистопородных и помесных с голштинской породой быков-производителей, принадлежащих племпредприятию Республики Татарстан, с комплексными генотипами iNOS и LTF по характеру проявления молочной продуктивности у ближайших женских предков. Установлено, что наибольшие показатели по удою и выходу молочного жира женских предков оказались у быков с комплексным генотипом BB/AA генов iNOS/LTF. Согласно результатам исследований рекомендуем в хозяйствах Республики Татарстан с часто встречаемыми случаями заболевания животных лейкозом и маститом целенаправленно использовать в селекционно-племенной работе быков-производителей, несущих в своем генотипе A и B аллели соответствующих генов iNOS и LTF. The successful development of cattle breeding in order to obtain biologically safe high-quality dairy products is possible only in conditions of epizootic well-being. The increased milk performance of cows is associated with the reduction of the resistance to various diseases, including leukemia and mastitis. In this research work we studied purebred breeding bulls and bulls crossbred with Holstein breed (both type of bulls have a complex iNOS and LTF genotypes) belonging to the plempredprime of the Republic of Tatarstan. We made an assessment of their breeding value based on the nature of milk production in the closest female ancestors. It was found that the highest indicators of milk yield and milk fat yield of female ancestors were found in bulls with a complex genotype BB / AA of the iNOS / LTF genes. According to the research results, in breeding work in farms of the Republic of Tatarstan with frequent cases of animal disease with leukemia and mastitis, we recommend purposefully using breeding bulls that carry in their genotype A and B alleles of the corresponding iNOS and LTF genes.

COMPARATIVE ANALYSIS OF THE EVALUATION RESULTS OF HOLSTEIN BLACK-MOTLEY BREEDING BULLS BY THEIR DAUGHTERS’ PRODUCTIVITY BASED ON OFFICIAL INSTRUCTIONS AND BLUP MODEL

2020 ◽  
pp. 155-163
Author(s):  
K.ZH. ZHUMANOV ◽  
◽  
T.N. KARYMSAKOV ◽  
M.A. KINEEV ◽  
M.V. TAMAROVSKIY ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Fat ◽  
Cattle Breed ◽  
Breeding Value ◽  
Cattle Breeding ◽  
Lower Efficiency ◽  
Dairy Cattle Breeding ◽  
The Usa ◽  
Current Instruction ◽  
The Republic

According to the current “Instruction” used in dairy cattle selection and breeding in the Republic of Kazakhstan, bulls-producers of dairy breeds are assessed according to the their offspring quality based on the principle of “peer daughter”. This means that the phenotypic indicators of the daughters of the tested bulls are compared with the corresponding indicators of their peers. In European countries with developed dairy cattle breeding, as well as in Canada, the USA, etc., to ensure a reliable forecast of the genetic value of individuals (primarily, bulls-producers), use is made of the best linear unbiased forecast method (BLUP method). This method implies that the breeding value of producers is determined by the deviation values of the development of traits of the examined animal from its average values in the population. Especially urgent area is the research aimed at improving breeding programs, including assessing the breeding value of bulls-producers of dairy breeds using BLUP methods based on the productive qualities of the mass of dairy cattle in the Republic of Kazakhstan. The research material included the data on the phenotypic indicators of the milk productivity of first-calf cows (the amount of milk yield, the content of fat and protein in milk, the yield of milk fat and protein) of the Holstein black-motley dairy cattle breed, obtained from the information and analytical database of the Republic of Kazakhstan for 2016–2017. It was found that when evaluating according to the official “Instruction”, 16 sires out of 256 bulls (6.2%) got the stud category in 2016, 14 sires (9.2%) out of 152 bulls in 2017, and – 30 sires of 249 bulls (12.0%) over the cumulative period. The results of the conducted research prove that the use of the classic “Instructions” in dairy cattle breeding has lower efficiency (by 42.8–90.0%) as compared with the assessment of the breeding value of bulls based on the BLUP method.The selection of sire bulls into breeding groups based on the “peer daughter” methodology is not reliable enough and rather ineffective. Comparing the results of assessing the breeding qualities of sire bulls, obtianed using two methods in all compared periods (2016, 2017, 2016–2017), the authors established a clear superiority of the BLUP method over the current Instruction used in the Republic of Kazakhstan.

scholarly journals Phenotypic correlations of productive and reproductive traits of Simmental cows

2007 ◽  
Vol 23 (3-4) ◽  
pp. 11-17
Author(s):  
Vlada Pantelic ◽  
Z. Skalicki ◽  
M.M. Petrovic ◽  
S. Aleksic ◽  
B. Miscevic ◽  
...  
Keyword(s):  
Milk Fat ◽  
Reproductive Traits ◽  
Phenotypic Correlation ◽  
Cattle Breeding ◽  
Phenotypic Correlations ◽  
Service Period ◽  
Calving Season ◽  
The Republic ◽  
One Year ◽  
Fertility Traits

Research included 3.461 first calving Simmental cows in control, with lactations concluded within one year. All first calving cows were reared by private/individual farmers on the territory of the Republic of Serbia. Phenotypic correlations between following milk and fertility traits have been investigated: duration of lactation DL, milk yield MY, milk fat content MFC, milk fat yield MFY, yield of 4% FCM, age at first calving AFC and duration of service period DSP. Results of the investigation of phenotypic correlations are obtained using mixed models LSMLMW (Harvey 1990). This method enables optimal consideration of numerous effects on investigated traits (bull sires, region, calving season, and calving year). Phenotypic correlation of traits in cattle breeding relates to presence of mutual positive or negative covariance which is result of the effect of genetic and factors of the environment. Information on phenotypic correlations between milk and fertility traits can be of great importance in selection of cows, since it provides possibility to choose/select heads based on several traits at the same time. .

scholarly journals ESTIMATED BREEDING VALUES OF SERVICING BULLS OF THE HOLSTEIN BLACK-AND-WHITE BREED BY QUALITY OF OFFSPRING USING THE BLUP METHOD

REPORTS ◽  
2020 ◽  
Vol 5 (333) ◽  
pp. 35-41
Author(s):  
K.Zh. Zhumanov ◽  
◽  
T.N. Karymsakov ◽  
M.A. Kineev ◽  
A.D. Baimukanov ◽  
...  
Keyword(s):  
Milk Fat ◽  
Rank Correlation ◽  
Correlation Coefficients ◽  
Breeding Value ◽  
Research Information ◽  
Black And White ◽  
Livestock Breeding ◽  
White Breed ◽  
The Republic ◽  
Estimated Breeding Values

The aim of the research was to estimate the breeding value of the servicing bulls of the Holstein black-and-white breed according to the optimized equation of the mixed BLUP model. Within a comparative aspect, the estimation results of bulls calculated using the BLUP methodology are presented. As an object of the research, information was used on first-calf heifers (daughters of the evaluated bulls), who lactated in breeding herds of the Holstein cattle of the Republic of Kazakhstan in 2016-2017. The source was the official information analytical system (IAS) of livestock breeding of the Republic of Kazakhstan. The analysis of information on the dairy productivity of the cows-daughters of the estimated bulls was performed according to the indicators of the milk yield, the contents of fat and protein in milk, the milk fat and protein yield for 305 days of lactation and the study period. To compare the obtained results, the average values of breeding value indices, the reliability of their assessment, and the rank correlation coefficients were calculated

scholarly journals Results of the application of the technology of genetic improvement of Simmental cattle population in Serbia

2006 ◽  
Vol 22 (1-2) ◽  
pp. 1-8 ◽  
Author(s):  
Milan Petrovic ◽  
Ljiljana Sretenovic ◽  
Vlada Pantelic ◽  
Stevica Aleksic ◽  
Branislav Miscevic ◽  
...  
Keyword(s):  
Milk Fat ◽  
Genetic Improvement ◽  
Mixed Model ◽  
Breeding Value ◽  
Production Traits ◽  
Cattle Population ◽  
Method Of Least Squares ◽  
General Average ◽  
Simmental Cattle ◽  
Calving Season

Results of production traits obtained from first calving cows and evaluation of the breeding value of bull sires of Simmental breed in Serbia. Data was analyzed using the method of least squares and for evaluation of bulls' breeding value mixed model of random sire effect (BLUP method). Based on obtained results it was established in statistical analysis that breeding region had highly significantly affected (P<0.01) the deviation of production traits from the general average. Considerable deviation from the general average was caused by the year and season of calving (P<0.05), and interaction of breeding region and calving season contributed to high variation in yield of milk and milk fat (P<0.01).

scholarly journals Investigation of the genetic correlation between milk and fertility traits of first calving cows of Simmental breed

2008 ◽  
Vol 24 (5-6) ◽  
pp. 1-8 ◽  
Author(s):  
Vlada Pantelic ◽  
M.M. Petrovic ◽  
S. Aleksic ◽  
Ljiljana Sretenovic ◽  
D. Ostojic-Andric ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Genetic Correlation ◽  
Milk Fat ◽  
Mixed Model ◽  
Genetic Correlations ◽  
Production Capacity ◽  
Agricultural Producers ◽  
Milk Traits ◽  
Service Period ◽  
Fertility Traits

Investigation of the production capacity of cattle for the purpose of increase of milk and milk fat production, as well as number of calves, greatly depends on phenotypic and genetic variability, heritability and correlation between desired traits, and on production level in the population. This research included 3.461 first calving cows of Simmental breed under control and reared on farms of individual agricultural producers on the territory of Republic of Serbia. Genetic correlations were calculated using equation of mixed model which included the effect of bull-sire, breeding region, year and season of calving: Yijklm = ? + Bi + Rj + Gk + Sl + eijklm. Coefficients of genetic correlation between service period and milk traits were following: duration of lactation 0,239, milk yield 0,089, percentage of milk fat 0,095, quantity of milk fat 0,105 and yield of 4%FCM 0,099. Correlation between service period and age at calving was 0,535. Genetic correlation between age at calving and milk traits was following: duration of lactation 0,245, production of milk 0,003, percentage of milk fat 0,531, quantity of milk fat 0,082 and production of 4%FCM 0,050.

scholarly journals The effect of interaction of systematic factors on milk performance of simmental cows in standard lactation

2012 ◽  
Vol 28 (1) ◽  
pp. 67-75
Author(s):  
M.D. Petrovic ◽  
M.M. Petrovic ◽  
Z. Skalicki ◽  
V. Bogdanovic ◽  
R. Djokovic ◽  
...  
Keyword(s):  
Milk Fat ◽  
Dairy Farm ◽  
Breeding Value ◽  
Family Farms ◽  
Performance Traits ◽  
Dairy Animals ◽  
Total Variability ◽  
Milk Performance ◽  
Calving Season ◽  
Very High

The effect of interaction between the farm and calving season, as well as the farm and group of lactations on milk performance traits (milk yield, yield of milk fat, 4% fat corrected milk and milk fat content) was analyzed on sample of 2805 Simmental cows with total 9718 standard lactations, housed on dairy farm ?Zlatiborski suvati? on Zlatibor (578 cows and 1968 lactations), dairy farm of the Agricultural holding Dobricevo in Cuprija (964 cows and 3237 lactations) and dairy animals housed on family farms/households in the region of Kotraza (1263 cows and 4513 lactations). The significance of the effect of interaction between the farm and calving season, as well as interaction between the farm and group of lactations on all milk performance traits was very high (P<0.001), which justified their inclusion into models for assessment of the breeding value of dairy cows. The share of variance of interactions in total variance of milk performance traits in standard lactations was low (below and around 4%), which clearly indicated even more systematic factors and their interactions which influence the total variability of observed traits of milk performance of cows in standard lactations.

Stearic acid does not overcome trans-10, cis-12 CLA-induced milk fat depression in lactating ewes

2021 ◽  
pp. 1-19
Author(s):  
G. C. De Aguiar ◽  
R. Horstmann ◽  
C. G. Padilha ◽  
C. V. D. M. Ribeiro ◽  
D. E. De Oliveira
Keyword(s):  
Stearic Acid ◽  
Relative Abundance ◽  
Milk Fat ◽  
Mixed Model ◽  
Random Effect ◽  
Fat Content ◽  
Milk Fat Depression ◽  
Acid Supplementation ◽  
Ppar Γ ◽  
Randomized Design

Abstract The objective of this study was to test the hypothesis that stearic acid supplementation increases milk fat content and overcomes the antilipogenic effects of trans-10, cis-12 conjugated linoleic acid (CLA) in lactating ewes. Twenty-eight Lacaune ewes (36 ± 2 DIM; 70.5 ± 9.6 kg BW), producing 1.8 ± 0.4 kg of milk/day were used in a completely randomized design (7 ewes/treatment) for 21 days. The treatments were: 1) Control; 2) CLA (6.4 g/day of trans-10, cis-12 CLA); 3) SA (28 g/day of stearic acid) and; 4) CLASA (6.4 g/day of trans-10, cis-12 CLA plus 28 g/day of stearic acid). All data were analyzed using a mixed model that included the fixed effect of treatment and the random effect of ewe. SA did not alter milk fat content and yield relative to Control (91.9 vs. 91.2 ± 4.1 g/d). SA in association with trans-10, cis-12 CLA (CLASA) was not able to overcome the reduction in fat content and fat yield induced by CLA (75 vs. 82 ± 0.14 g/d). SA increased the relative abundance of CD36, FABP4 and PPAR-γ mRNA by 140%, 112% and 68% compared to CLASA. SA also reduced the relative abundance of ACACAα PII and SCD when compared to Control (45% and 39%). Compared to CLA, CLASA treatment had no effect on the mRNA abundance of FASN, LPL, CD36, SCD, FABP4, AGPAT6, SREBP1 and PPAR-γ. In conclusion, stearic acid supplementation did not increase milk fat synthesis and did not overcome the CLA-induced milk fat depression when associated with trans-10, cis-12 CLA.

Variation in phosphorus content of milk from dairy cattle as affected by differences in milk composition

2014 ◽  
Vol 152 (5) ◽  
pp. 860-869 ◽  
Author(s):  
G. KLOP ◽  
J. L. ELLIS ◽  
M. C. BLOK ◽  
G. G. BRANDSMA ◽  
A. BANNINK ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Milk Fat ◽  
Milk Protein ◽  
Mixed Model ◽  
Random Effect ◽  
Milk Composition ◽  
Fat Content ◽  
P Content ◽  
P Utilization

SUMMARYIn view of environmental concerns with regard to phosphorus (P) pollution and the expected global P scarcity, there is increasing interest in improving P utilization in dairy cattle. In high-producing dairy cows, P requirements for milk production comprise a significant fraction of total dietary P requirements. Although variation in P content of milk can affect the efficiency of P utilization for milk production (i.e. the fraction of ingested P that is incorporated in milk), this variation is poorly understood. It was hypothesized that the P content of milk is related to both milk protein and milk lactose content, but not necessarily to milk fat content. Three existing experiments comprising individual animal data on milk yield and fat, protein, lactose and P content of milk (in total 278 observations from 121 cows) were analysed to evaluate this hypothesis using a mixed model analysis. The models including the effects of both protein and lactose content of milk yielded better prediction of milk P content in terms of root-mean-square prediction error (RMSPE) and concordance correlation coefficient (CCC) statistics than models with only protein included as prediction variable; however, estimates of effect sizes varied between studies. The inclusion of milk fat content in equations already including protein and lactose did not further improve prediction of milk P content. Equations developed to describe the relationship between milk protein and lactose contents (g/kg) and milk P content (g/kg) were: (Expt 1) P in milk=−0·44(±0·179)+0·0253(±0·00300)×milk protein+0·0133(±0·00382)×milk lactose (RMSPE: 5·2%; CCC: 0·71); (Expt 2) P in milk=−0·26 (±0·347)+0·0174(±0·00328)×milk protein+0·0143 (±0·00611)×milk lactose (RMSPE: 6·3%; CCC: 0·40); and (Expt 3) P in milk=−0·36(±0·255)+0·0131(±0·00230)×milk protein+0·0193(±0·00490)×milk lactose (RMSPE: 6·5%; CCC: 0·55). Analysis of the three experiments combined, treating study as a random effect, resulted in the following equation to describe the same relationship as in the individual study equations: P in milk=−0·64(±0·168)+0·0223(±0·00236)×milk protein+0·0191(±0·00316)×milk lactose (RMSPE: 6·2%; CCC: 0·61). Although significant relationships between milk protein, milk lactose and milk P were found, a considerable portion of the observed variation remained unexplained, implying that factors other than milk composition may affect the P content of milk. The equations developed may be used to replace current fixed milk P contents assumed in P requirement systems for cattle.

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