Relationship between udder and teat conformation and milk yield performance in dairy cows pre- and post-milking

2007 ◽  
Vol 87 (3) ◽  
pp. 285-289 ◽  
Author(s):  
Nilufer Sabuncuoglu ◽  
Omer Coban
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Relative Reduction ◽  
Production Traits ◽  
Milk Production Traits ◽  
Simple Method ◽  
Absolute Reduction ◽  
Daily Milk Yield ◽  
Daily Milk

The objectives of this study were to determine the relationship between udder floor area (UFA) and milk production traits in dairy cows, pre- and post-milking, as well as to examine the usefulness of a simple method of measuring UFA. The absolute reduction (AR, cm2) and relative reduction (RR, %) in UFA post-milking relative to pre-milking was calculated. Absolute reduction was influenced by breed and lactation stage, but not by parity of the cows (P < 0.05). There was no effect of breed and stage of lactation on the RR of UFA. Moderate correlations were observed between absolute reduction of UFA and daily milk yield (r2 = 0.422), lactation milk yield (r2 = 0.426), and absolute fat yield (r2 = 0.515) (P < 0.01 and P < 0.05). Moderate and weak correlations were found between RR of UFA and daily milk yield (r2 = 0.335) (P < 0.01), AR of the udder area and the 305-d lactation milk yield (r2 = 0.326) (P < 0.10). It was concluded that measuring UFA using the method described may be useful for the selection of dairy cattle mammary conformation traits. Key words: Dairy cow, udder and teat conformation, milk production traits, measurement technique

scholarly journals Genetic Evaluation Of Red Chittagong Cattle In Bangladesh

2020 ◽  
Vol 17 (2) ◽  
pp. 141-154 ◽  
Author(s):  
F Ferdous ◽  
MP Choudhury ◽  
MO Faruque ◽  
MM Hossain ◽  
AKFH Bhuiyan
Keyword(s):  
Birth Weight ◽  
Milk Production ◽  
Milk Yield ◽  
Growth Traits ◽  
Production Traits ◽  
Milk Production Traits ◽  
Lactation Length ◽  
Daily Milk Yield ◽  
Daily Gain ◽  
Daily Milk

The current study was carried out using data of the Nucleus Herd and Community Herd of Red Chittagong Cattle (RCC) established through USDA funded Red Chittagong Cattle project under the Department of Animal Breeding and Genetics, BAU, Mymensingh. Data on 151 calves and 75 lactating cows were analyzed. The estimated heritability values were 0.45 ± 0.05 for birth weight, 0.48 ± 0.05 for weaning weight, 0.41 ± 0.08 for pre-weaning daily gain, 0.47 ± 0.06 for lactation length, 0.43 ± 0.07 for lactation milk yield and 0.35 ± 0.09 for average daily milk yield. The highest Breeding Value (BV) were for birth weight (3.2 kg), weaning weight (24.46 kg), pre-weaning daily gain (82.39g), lactation length (52.25 days), lactation milk yield (186.04 kg) and average daily milk yield (0.66 kg). The minimum and maximum phenotypic index values by using phenotypic parameters were for growth traits (1196.24 and 4713.24) and milk production traits (8573.93 and 40670.81). The minimum and maximum genetic index values by using breeding values were for growth traits (1812.49 and 2870.21) and milk production traits (-1812.49 and 2870.21). All the estimated index values can be used in animal selection and breeding programs for RCC improvement and similar index selection can be applied for other indigenous cattle development programs in Bangladesh or elsewhere. SAARC J. Agri., 17(2): 141-154(2019)

The Interleukin-8 gene polymorphism and its association with milk production traits in holstein cows

2017 ◽  
Author(s):  
Aswah Ridhowi ◽  
Hsiu-Luan Chang ◽  
Chia-Lin Liang ◽  
Suyadi . ◽  
Ming-Che Wu
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Holstein Cows ◽  
Production Traits ◽  
Milk Production Traits ◽  
Cell Counts ◽  
Significant Difference ◽  
Daily Milk Yield ◽  
The Impact ◽  
Daily Milk

This study proposed to identify a polymorphism in the IL8 gene in Holstein cows and analyze the relationship with milk production traits in Taiwanese Holstein cows. Investigations were done for single nucleotide polymorphism at position 2862 and the impact of IL8-T2862C polymorphism on the milk production traits of 68 Holstein cows was randomly analyzed by fixed effects model. No significant difference was found between genotypes for 305-2X-ME, fat%, protein%, total solid%, and somatic cell counts score (SCS). Significanteffects were observed on daily milk yield (MY), SCC (p>0.05), and lactose% (p>0.01). Cows with the CC genotype had less SCC compared with CT and TT ones. The allelic substitution effect was 0.70 kg daily milk yield for IL8 favorable allele T (p>0.05), and 3.24 x 104 cells/mL SCC for IL8favorable allele C (p>0.01). Significant dominance effects of IL8-T2862C on daily milk yield (1.22 kg,p>0.05) and lactose% (+0.07%, p>0.01) were found.

áS2 casein gene polymorphism and association with milk production traits in Malvi and Nimari cattle of Madhya Pradesh

2018 ◽  
Author(s):  
Akhilesh Pandey and M.S.Thakur
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Madhya Pradesh ◽  
Production Traits ◽  
Milk Production Traits ◽  
Casein Gene ◽  
Significant Difference ◽  
Polymorphic Variants ◽  
Daily Milk Yield ◽  
Daily Milk

The aim of this study was to know the polymorphic variants and their association with milk production traits in Malvi and Nimari cattle of Madhya Pradesh at áS2 casein gene (CSN1S2) gene locus. The PCR amplified products of 1267 base pair (bp) length were digested by restriction endonuclease enzyme EcoRV, which recognizes GAT^ATC sites. The 1267bp product was cut into two fragments of sizes 1150bp and 117bp. All the tested samples yielded different results. Absence of restriction site at both the alleles that resulted in the appearance of single compact bands of size 1267bp was referred to as genotype AA. The samples exhibiting three fragments (1267bp/ 1150bp/ 117bp) were denoted as genotype AB. The RFLP analysis carried out in above both of the breeds of cattle revealed dissimilar genotypic patterns. AA and AB genotypes were observed in Malvi and Nimari . The genotypic and gene frequencies of AA, AB and BB genotypes of áS2-casein gene (CSN1S2)/EcoRV locus was found to be 0.44, 0.56 and 0.00 in Malvi; 0.68, 0.32 and 0.00 in Nimari and the respective gene frequency for A and B alleles were found to be 0.72 and 0.28 in Malvi; 0.84 and 0.16 in Nimari. The frequency of A allele was found to be highest as compared to B allele in all the four breeds of cattle under the study. Chi-square values for testing correspondence between observed and expected genotypic frequencies at this locus were found to be non-significant in Malvi and Nimari breeds of cattle. The above result indicated that the populations of animals of above both breeds were in Hardy-Weinberg equilibrium at this locus. The association of polymorphic variants of áS2-casein gene (CSN1S2)/EcoRV in Malvi and Nimari breeds of cattle with milk yield per lactation (L), daily milk yield (L) showed the non significant difference was observed between mean MY(L) of AA and AB genotype of Malvi and Nimari and With respect of daily milk yield the Nimari. However, the Nimari breed showed significantly higher daily milk yield than the Malvi breed of cattle.

Using quantile regression for fitting lactation curve in dairy cows

2019 ◽  
Vol 86 (1) ◽  
pp. 19-24
Author(s):  
Hossein Naeemipour Younesi ◽  
Mohammad Mahdi Shariati ◽  
Saeed Zerehdaran ◽  
Mehdi Jabbari Nooghabi ◽  
Peter Løvendahl
Keyword(s):  
Quantile Regression ◽  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Information Criterion ◽  
Production Traits ◽  
Milk Production Traits ◽  
Fat Percentage ◽  
Protein Percentage ◽  
Breeding Center

AbstractThe main objective of this study was to compare the performance of different ‘nonlinear quantile regression’ models evaluated at theτth quantile (0·25, 0·50, and 0·75) of milk production traits and somatic cell score (SCS) in Iranian Holstein dairy cows. Data were collected by the Animal Breeding Center of Iran from 1991 to 2011, comprising 101 051 monthly milk production traits and SCS records of 13 977 cows in 183 herds. Incomplete gamma (Wood), exponential (Wilmink), Dijkstra and polynomial (Ali & Schaeffer) functions were implemented in the quantile regression. Residual mean square, Akaike information criterion and log-likelihood from different models and quantiles indicated that in the same quantile, the best models were Wilmink for milk yield, Dijkstra for fat percentage and Ali & Schaeffer for protein percentage. Over all models the best model fit occurred at quantile 0·50 for milk yield, fat and protein percentage, whereas, for SCS the 0·25th quantile was best. The best model to describe SCS was Dijkstra at quantiles 0·25 and 0·50, and Ali & Schaeffer at quantile 0·75. Wood function had the worst performance amongst all traits. Quantile regression is specifically appropriate for SCS which has a mixed multimodal distribution.

scholarly journals Correlation analysis of production traits of domestic Balkan goat

2008 ◽  
Vol 24 (3-4) ◽  
pp. 49-55 ◽  
Author(s):  
N. Memisi ◽  
M. Zujovic ◽  
V. Bogdanovic ◽  
M.P. Petrovic
Keyword(s):  
Birth Weight ◽  
Milk Production ◽  
Milk Yield ◽  
Production Control ◽  
Growth Traits ◽  
Correlation Coefficients ◽  
Daily Weight Gain ◽  
Production Traits ◽  
Milk Production Traits ◽  
Daily Milk Yield

The paper presents results of investigations of the domestic Balkan goat reared in the Sharplanina mountainous region pertaining to phenotypic correlations between the most important production traits (milk production traits for 578 goats), and growth traits of kids (for 710 kids in the suckling period). Research was done in herds of Balkan goats belonging to private farmers, during a two-year period. Simple correlation between mentioned traits were calculated using a PC and the LSMLMW program (Harvey, 1990). Data pertaining to correlation coefficients established between investigated milk production traits of the domestic Balkan goat, reflect existing correlations, which in most cases, were positive and statistically significant (P<0,01). Very strong correlations were established between the 1st and 2nd milk production control, as well as between the daily milk yield and the 2nd milk production control (0.796), as well as the total milk yield (0.870). Established coefficient were also statistically significant (P<0,01). Correlation between birth weight and the weight at specific ages (30, 60 and 90 days) were strong and very strong, while correlations between birth weight and average daily weight gain established by individual months (0.526, 0.553 and 0.384) varied between weak and strong, with an established weakening of correlations with advancing age.

scholarly journals PRODUKSI SUSU SAPI PERAH FRIESIAN HOLSTEIN (FH) PADA PERIODE LAKTASI YANG BERBEDA (Milk Production of Friesian Holstein (FH) Cows at Different Lactation Periods)

2020 ◽  
Vol 8 (2) ◽  
pp. 79-84
Author(s):  
Ali Mahmud ◽  
Woro Busono ◽  
Puguh Surjowardojo ◽  
Yuli Arif Tribudi
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Analysis Of Variance ◽  
Lactation Period ◽  
Yield Production ◽  
Daily Milk Yield ◽  
Peak Lactation ◽  
Daily Milk ◽  
Holstein Dairy Cows

This research was conducted in PT Greenfields Indonesia, Babadan Village, Ngajum Districts, Malang, East Java. The purpose of the study was to compare the milk production of FH (Friesian Holstein) dairy cows in various lactation periods. The material used in this research was data records of Australian FH, which have been developed in the Greenfields Indonesia farm. The data used were from 473 dairy cows, which consisted of 100 heads for each lactation period from the period I up to period IV and 73 heads for lactation period V. The variables measured were milk production 305 day 2X ME, daily milk yield production, peak day production, and the peak lactation. The data were analyzed using analysis of variance, and if the result showed differences, the analysis was continued using the Duncan test. The results showed that the increase in the lactation period significantly (P<0.01) decreased milk production and increased the duration of lactation peaks of FH cows. The highest milk production 305 day 2X ME was in the lactation period II, which was around 10232.90 ± 1036.62 kg/lactation or 32 ± 5.13 kg/day. In this period, the peak day in milk lactation was 71.5 ± 27.5 days, and the peak of milk production was 45.7 ± 4.1 kg/day. In conclusion, milk production increased from the first lactation period to the second lactation period and then decreased in subsequent periods. The peak of the first lactation period was reached longer, then falls in the second lactation period and then increases again at the following lactation period

scholarly journals The Effect of Thermal Environment on Daily Milk Yield of Dairy Cows

2016 ◽  
Vol 39 (2) ◽  
pp. 185-192 ◽  
Author(s):  
Metodija Trajchev ◽  
Dimitar Nakov ◽  
Sreten Andonov
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Significant Influence ◽  
Air Temperatures ◽  
Hot Season ◽  
Environmental Air ◽  
Daily Milk Yield ◽  
The Impact ◽  
Daily Milk

AbstractThe primary objective of this research was to evaluate the impact of environmental air temperatures on the milk production of dairy cows. Therefore, the experiment was carried out at the height of summer (from 15th of June to 15th of September) in three small family dairy farms and one commercial dairy farm. In total, 51 dairy cows from the black-white breed were subjected to the study. The season of research was divided into three periods: the period before the hot season, the period of the hot season and the period after the hot season. In each period there were three test days selected that were used for recording the air temperature inside and outside the barns and cow’s daily milk yield. Unvaried associations between the test day milk yield of cows and independent environmental and cow factors were done using the linear mixed model for repeated measurements. The statistical model showed that the farm management system and the hot season of the year had significant influence on daily milk yield per cow at the level of p<0.001. The test day per periods of the season when milk control was performed and the average test day environmental temperature showed statistically significant influence on daily milk yield per cow at level p<0.01. The present results revealed that environmental air temperatures contributes to considerable loss in the milk production of dairy cows.

scholarly journals Association between microsatellite markers and milk production traits in Egyptian buffaloes

2017 ◽  
Vol 62 (No. 9) ◽  
pp. 384-391 ◽  
Author(s):  
H.E. Rushdi ◽  
R.E.A. Moghaieb ◽  
H. Abdel-Shafy ◽  
M.A.M. Ibrahim
Keyword(s):  
Microsatellite Markers ◽  
Milk Production ◽  
Future Application ◽  
Fixation Index ◽  
Production Traits ◽  
Milk Production Traits ◽  
Polymorphic Microsatellites ◽  
Daily Milk Yield ◽  
Egyptian Buffalo ◽  
Daily Milk

The objectives were to evaluate polymorphism in ten microsatellite markers and to demonstrate their association with milk production traits in the Egyptian buffaloes, based on the cross-species transferability of microsatellites from cattle to buffalo. A total of 17 439 daily milk records from the first five lactations were subjected to analyses, in which records from 5 to 290 days in milk were only included. The analysis revealed that eight out of the ten bovine markers analyzed were polymorphic. The means of the number of alleles, effective number of alleles, and fixation index within markers were 4.125, 2.479, and 0.062, respectively. The means of the observed and expected heterozygosity were 0.491 and 0.527 per marker, respectively. The eight polymorphic microsatellites (BM1706, BMS711, BM143, BM415, BM6438, ETH131, BM1443, ETH2) showed significant (P &lt; 0.001) associations with average daily milk yield deviation. Protein percentage was significantly associated with microsatellites BM6438 (P &lt; 0.01) and ETH131 (P &lt; 0.001). Only marker BM415 had a significant (P &lt; 0.05) influence on protein yield. None of the analyzed markers revealed significant effect on fat yield and percentage. The results obtained support future application of the polymorphic microsatellites for detailed studies of the Egyptian buffalo genome.

scholarly journals Comparative Evaluation of Lactation Curves of Crossbred Dairy Cows in Field Conditions in Tamil Nadu, India 

2021 ◽  
Author(s):  
C. Balan ◽  
M. Thirunavukkarasu
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Tamil Nadu ◽  
Field Conditions ◽  
Crossbred Cows ◽  
Lactation Curve ◽  
Daily Milk Yield ◽  
Best Fit ◽  
Daily Milk

Background: Various mathematical models have been tried by different researchers to fit the lactation curves in indigenous, exotic and crossbred cows maintained in organised farms only. Hence, this study was aimed to fit various lactation models and to identify the best fit model (s) for prediction of milk production in crossbred dairy cows in field conditions.Methods: Multistage random sampling procedure was used for selection of 100 dairy cows for the purpose of data collection. The monthly milk yield data (up to 10 months of lactation) of the selected crossbred cows reared in field conditions of Tamil Nadu State, relating to the period from 2017-20, were collected for lactation curve modelling. The milk data so collected were used to fit 14 lactation curve models in the study. The highest Coefficient of Determination (R²) value and the least Root Mean Square Error (RMSE) value were used as the criteria to select the best fit model(s).Result: The overall average total milk production was estimated to be 2223.19 kg per lactation in 10 months of lactation in the selected crossbred cows. Average daily milk yield at the first month of lactation was 9.16 kg and the highest daily milk yield of 9.56 kg was observed at the second month of lactation. At the end of the lactation, the lowest yield was 5.01 kg per day and hence the overall average daily milk yield was found to be 7.41 kg. Based on the selection criteria, the Mitscherlich X Exponential model was identified as the best fit model, followed by Ali and Schaeffer and Morant and Gnanasakthy model for prediction of milk production in crossbred dairy cows reared in field conditions and the estimated lactation curve model parameters a, b, c and d values for the best fit model were 331.71, 1519.82, 9.56 and 0.07 kg, respectively. 

scholarly journals The Effect of Low Air Temperature on Behaviour and Milk Production in Holstein Dairy Cows

2017 ◽  
Vol 65 (5) ◽  
pp. 1623-1627
Author(s):  
Martina Vaculíková ◽  
Irena Komzáková ◽  
Gustav Chládek
Keyword(s):  
Dairy Cows ◽  
Milk Production ◽  
Milk Yield ◽  
Air Temperature ◽  
Body Side ◽  
Temperature Range ◽  
Yield Values ◽  
Daily Milk Yield ◽  
Daily Milk ◽  
Holstein Dairy Cows

The aim of this study was to evaluate the influence of low air temperature on behaviour and milk production in Holstein dairy cows. The experiment was carried out at a Mendel University Farm in Žabčice, CZ, between 06‑12‑16 and 28‑02‑17. The average outdoor temperature during the above mentioned period was 2.3 °C and the average barn temperature was 1.8 °C. Other known microclimatic parametres were (in average values): relative humidity (56.9 %), refrigerating quantity (37.3 W.m−2), light intensity (326.7 lx), and air flow (0.1 – 0.4 m.s−1). The values were always measured at 10:00 am. In the experiment, 75 Holstein dairy cows were observed. These cows were housed in free‑stall housing stable in which the number of boxes was higher than the number of housed cows there. The observed dairy cows were either standing (43.8 %) or lying (56.2 %). In case, they were standing, the most of them were found at trough (50.4 %), less of them were found in corridor (30.0 %), and the least of them were found in their boxes. In case, the dairy cows were lying, it was found more of them were lying on their left body side (58.7 %) and less on their right body side (43.8 %). The number of dairy cows standing in boxes had a decreasing character. Concerning the daily milk yield values, these had the same trend as the barn temperature, i.e., in 9 out of 11 cases. In this case (temperature range), the amoung of daily milk yield seems to be the best assessment factor for the infuence of temperature. It is necessary to dedicate attention to air temperature range, in which the experiment was carried out.

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