scholarly journals ELECTION AND GENETIC PARAMETERS OF THE INTENSITY OF MILK PRODUCTION IN COWS

2021 ◽  
Vol 247 (3) ◽  
pp. 86-89
Author(s):  
R.R. Kayumov ◽  
◽  
M.A. Sushentsova ◽  
◽  
Keyword(s):  
Milk Production ◽  
Genetic Parameters ◽  
Phenotypic Correlation ◽  
Technological Feature ◽  
Milk Ejection ◽  
Low Level ◽  
Technological Characteristics ◽  
Genetic Potential ◽  
Selection For

The study of the main technological feature of the Kholmogorsky breed of the Tatarstan type-milk ejection intensity-showed that its increased variability is characterized by high-blood crossbreeds, as well as animals of the Astronaut and Sovering lines. The high and low genetic potential of parental productivity reduces the variability of milk ejection intensity. However, selection for an increase in milk content will not be accompanied by an improvement in the intensity of milk ejection, since the established phenotypic correlation is mainly negative or positive at a low level. In this regard, it is necessary to control both productive and technological characteristics.

scholarly journals Genetic parameters for female fertility and milk production traits in first-parity Czech Holstein cows

2012 ◽  
Vol 57 (No. 3) ◽  
pp. 108-114 ◽  
Author(s):  
V. Zink ◽  
J. Lassen ◽  
M. Štípková
Keyword(s):  
Milk Production ◽  
Genetic Parameters ◽  
Selection Index ◽  
Female Fertility ◽  
Holstein Cows ◽  
Production Traits ◽  
Milk Production Traits ◽  
Clear Trend ◽  
Genetic Potential ◽  
Fertility Traits

The aim of this study was to estimate genetic parameters for female fertility and production traits in first-parity Czech Holstein cows and to quantify the effect of using this information on the accuracy of a selection index in seven different scenarios. In order to estimate genetic (co)variance components, the DMU software running an AI-REML algorithm was used. The analyses were made using a series of bivariate animal models. The pedigree included 164 125 animals and it was set up using a pruned animal model design. The present study included the following female fertility traits for the first lactations: calving to the first insemination (CF), days open (DO), calving from the first to the last insemination (FL), and milk production traits: milk production (MLK), kg of fat (FAT), and kg of protein (PROT). The heritability for all the investigated fertility traits was low and close to 0. Moderate heritabilities for production traits ranging from 0.20 (MLK) to 0.23 (PROT) were estimated. The strongest unfavourable correlation was found between PROT and DO (0.49). Other estimated correlations between fertility traits and production traits were moderate, ranging from 0.26 to 0.41. The results of this study evidence that cows with the poorest genetic potential for reproductive performance are those having high genetic potential for milk production and milk components. The results also show that the number of days from calving to new pregnancy depends on the production level. Seven investigated scenarios using selection index theory show a clear trend for increasing accuracy when more fertility traits were added as well as when higher numbers of daughters with information on reproduction traits per sire were available.  

scholarly journals Milk production process, quality and technological properties of milk for the use of various types of milking machines

2021 ◽  
Vol 43 ◽  
pp. e51336
Author(s):  
Mariia Lutsenko ◽  
Oksana Halai ◽  
Victor Legkoduh ◽  
Iryna Lastovska ◽  
Oleksandr Borshch ◽  
...  
Keyword(s):  
Milk Production ◽  
Average Intensity ◽  
Technological Properties ◽  
Labor Costs ◽  
Milk Ejection ◽  
Genetic Potential ◽  
Milk Flow ◽  
Production Technologies ◽  
Milk Ejection Reflex ◽  
Parallel Type

Studies have been carried out to evaluate the efficiency of using easy-assembled cow houses in modern milk production technologies for the use of high-productive milking plants of the type ‘Parallel’ and ‘Carousel’ with 32 machines each. It has been established that new types of premises not only provide comfortable conditions for the maintenance of highly productive cows, but also reduce the labor costs for their maintenance and, most importantly, allow the use of modern high-productive milking installations of the type ‘Parallel’ and ‘Carousel’. It has been established that the technology of preparation of cows for milking and milking technology provides more complete display of the milk ejection reflex at the installation of the ‘Parallel’ type. The average intensity of cows’ milk flows at this plant is 30% higher compared to those of the installation of ‘Carousel’ type, which is confirmed by the intensity of milk flow production at the first minute of milking, which is at the level of 2.97 against 1.85 kg min.-1 per installation of ‘Carousel’ type. Milk obtained using a milking installation of the ‘Parallel’ type has higher values of the mass fraction of fat and protein that is associated with the genetic potential of animals. According to physical, chemical and technological properties, milk obtained from milking installations such as ‘Parallel’ and ‘Carousel’ is within the limits of the standards in force. Milk obtained from the use of milking equipment such as ‘Carousel’ has higher electrical conductivity at the level of 4.6 mS cm-3, which is confirmed by a higher level of mastitis disease of cows. Due to bacterial contamination, reductase test and milk clot characteristic, milk obtained using a milk installation of ‘Parallel’ type also has higher quality indicators than the installation of ‘Carousel’ type. But according to the complex of indicators, milk obtained from various technologies of milking refers to the desired cheese-making class.

scholarly journals GENETIC PARAMETERS OF GIROLANDO CROSSBRED COWS IN DAIRY HERDS IN THE STATE OF ACRE, BRAZIL

2020 ◽  
Vol 23 (1cont) ◽  
Author(s):  
Andressa Pereira Braga ◽  
José Marques Carneiro Júnior ◽  
Antônia Kaylyanne Pinheiro ◽  
Maurício Santos Silva
Keyword(s):  
Maximum Likelihood ◽  
Milk Production ◽  
Genetic Parameters ◽  
Heritability Estimate ◽  
Restricted Maximum Likelihood ◽  
Dairy Herds ◽  
Genetic Progress ◽  
Linear Unbiased Prediction ◽  
Best Linear Unbiased ◽  
Selection For

This study aimed at estimating genetic parameters for milk production and conformation characteristics in Girolando crossbred dairy cows reared in the High and Low Acre region using the restricted maximum likelihood methodology, under an animal model. We estimated the variance components and genetic parameters using the REML/BLUP procedure (Restricted Maximum Likelihood Methodology/Best Linear Unbiased Prediction). The estimated average for milk production for 305 days of lactation (P305) was of 1523.25 ± 481.11 kg, with a heritability of 0.38 for this characteristic. The conformation characteristics showed no significant correlation with milk production. The phenotypical correlations between the linear characteristics of type were, in general, positive and moderate. The P305 obtained in this study can be considered low and indicates that there is a possibility of increasing milk production through selection in herds along with the use of tested and proven bulls. The heritability estimate found (0.38) indicates that there is genetic variability for milk production, demonstrating that selection for this characteristic would result in genetic progress.

Physiology of lactation and machine milking in dromedary she-camel

2018 ◽  
Vol 30 (4) ◽  
pp. 295 ◽  
Author(s):  
S Kaskous
Keyword(s):  
Milk Production ◽  
Milk Ejection ◽  
Dromedary Camels ◽  
Breeding Programs ◽  
Machine Milking ◽  
Genetic Potential ◽  
Physiological Properties ◽  
Increase Milk Production ◽  
Slow Progress ◽  
Milking Machine

Dromedary camels have the capability and the genetic potential to achieve high levels of milk production. However, systematic breeding programs to increase milk production are not common in this species. Dromedary camels are not well adapted to machine milking. Milk removal obviously requires in most farms a pre-stimulation through calf suckling before the milking machine can completely harvest the stored milk. In camels, most of the milk is stored in the alveolar compartment (>90-95%) of the udder. Therefore, almost no milk can be obtained in the absence of milk ejection. In addition, the morphological, anatomical and physiological properties of the camel udder are complex and not fully understood. Because of all biological and economical limitations related to machine milking dromedary camels are mostly hand-milked. The introduction of machine milking makes only slow progress and is limited to intensive dairy camel farms in a few countries. Machine milking of dromedary camels showed so far acceptable results. However, some studies clearly showed that udder emptying by machine milking with the available equipment is not satisfactory. The amount of residual milk after machine milking is high and was up to 30 % or even more of the stored milk in some studies. This means that the used machine needs to be improved to fit the camel's udder. Nevertheless, some studies clearly showed that a major proportion of dromedary camels have a suitable machine milking ability.

scholarly journals Effect of various milking equipment on milk ejection in high-yielding cows

2021 ◽  
Vol 11 (1) ◽  
pp. 18-24
Author(s):  
A.P. Paliy ◽  
K.V. Ishchenko ◽  
A.P. Palii
Keyword(s):  
Milk Production ◽  
Milk Yield ◽  
Present Stage ◽  
Milk Ejection ◽  
Livestock Farming ◽  
Technological Support ◽  
Biological Objects ◽  
Stage Of Development ◽  
Genetic Potential ◽  
Competitive Industry

Improving modern dairy farming is based on the industry's development, which means transforming livestock farming into a competitive industry. The development of its technical and technological support is closely related to its functional ability to realize the genetic potential of biological objects of production with high-quality products, which is the defining criterion for the competitiveness of machinery and technology at the industry’s present stage of development. The purpose of the research was to study milk production technology based on a comprehensive assessment and implementation of modern milking equipment, maximizing animals’ genetic potential and industry efficiency. We proved that applying the ‘DeLaval’ milking parlor under the same feeding and keeping animals ensured the proper completeness of milking and increased cows’ milk yield. During the first, third, and highest lactations, the milk yield was 226 kg (P=0.05), 266 kg (P=0.05), and 214 kg (P=0.05), respectively. After-milking when applying ADM-8A averaged 175 ml, and only 45 ml when applying the ‘DeLaval’ parlor. When using the ‘DeLaval’ milking equipment, the milk production intensity of cows was 1.43 kg/min, and, with ADM-8A, it was 1.24 kg/min, which is 0.19 kg/min (P=0.001), or 15.3% higher.

Genetic evaluations and parameter estimates for dairy cow fertility in the United Kingdom

2001 ◽  
Vol 2001 ◽  
pp. 36-36 ◽  
Author(s):  
H. N. Kadarmideen ◽  
M.P. Coffey ◽  
M.A. Kossaibati ◽  
R.J. Esslemont
Keyword(s):  
Information System ◽  
Genetic Analysis ◽  
Milk Production ◽  
Dairy Cow ◽  
Genetic Parameters ◽  
Parameter Estimates ◽  
Health Events ◽  
The United Kingdom ◽  
Selection For ◽  
Genetic Evaluations

Selection for milk production alone would lead to a genetic decline in cow fertility (e.g. Kadarmideen et al., 2000) thus incorporation of fertility in selection seems desirable. The Dairy Information System (DAISY) is a comprehensive recording scheme for insemination and health events and hence the data quality is more reliable for genetic analysis of cow fertility. The objective of this study was to analyse DAISY data to estimate sire breeding values and genetic parameters for various fertility measures based on insemination and calving events on daughters.

Analysis of production records from a lowland sheep flock 3. Phenotypic and genetic parameters for reproductive performance

1974 ◽  
Vol 19 (1) ◽  
pp. 33-45 ◽  
Author(s):  
P. A. Forrest ◽  
Maurice Bichard
Keyword(s):  
Body Weight ◽  
Reproductive Performance ◽  
Genetic Gain ◽  
Genetic Parameters ◽  
Phenotypic Correlation ◽  
Correlated Response ◽  
Sheep Flock ◽  
Average Litter Size ◽  
Genetic Level ◽  
Selection For

SUMMARYPhenotypic and genetic parameters for reproductive performance in a flock of Clun Forest ewes have been estimated. Average litter size (ALS) appeared to be more repeatable than the number of lambs born per ewe mated and present at lambing (NLBEM), and the estimates obtained by regression (0·15 and 0·14) were slightly higher than those from the analyses of variance (0·12 and 0·09). The repeatability of barrenness was very low (0·05). It was concluded that little scope existed for the improvement of reproductive performance from a regular policy of culling.Estimates of heritability by analysis of variance and a method for all-or-none traits were 0·12 and 0·11 for ALS, and 0·15 and 0·10 for NLBEM, whereas barrenness was less heritable (0·07). An estimate of 016 was found for the heritability of ALS performance over two years. The phenotypic correlation between body weight and reproductive performance were positive yet small (ALS:+0·16; NLBEM:+0·10), while at the genetic level ALS was more strongly related to body weight (+0·21) than NLBEM (-0·04). The genetic regressions indicated that an increase of 5 lambs per 100 ewes lambing would accompany genetic gain of 5 kg in ewe body weight, while an increase of 1 lamb per ewe lambing would lead to a correlated response in body weight of 5 kg.Selection for ALS on the basis of dams' performance, within the flock studied, would be expected to yield a rate of progress of 2% per annum.

Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro
Keyword(s):  
Data Mining ◽  
Milk Production ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Data Mining Techniques ◽  
Low Level ◽  
Fresh Milk ◽  
Nutritional Needs ◽  
High Level ◽  
Level Cluster

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.

scholarly journals Realized Sampling Variances of Estimates of Genetic Parameters and the Difference Between Genetic and Phenotypic Correlations

Genetics ◽  
1996 ◽  
Vol 143 (3) ◽  
pp. 1409-1416 ◽  
Author(s):  
Kenneth R Koots ◽  
John P Gibson
Keyword(s):  
Genetic Correlation ◽  
Genetic Parameters ◽  
Genetic Parameter ◽  
Genetic Correlations ◽  
Phenotypic Correlation ◽  
Parameter Estimates ◽  
Sampling Variance ◽  
Phenotypic Correlations ◽  
Genetic And Phenotypic Correlations ◽  
Heritability Estimates

Abstract A data set of 1572 heritability estimates and 1015 pairs of genetic and phenotypic correlation estimates, constructed from a survey of published beef cattle genetic parameter estimates, provided a rare opportunity to study realized sampling variances of genetic parameter estimates. The distribution of both heritability estimates and genetic correlation estimates, when plotted against estimated accuracy, was consistent with random error variance being some three times the sampling variance predicted from standard formulae. This result was consistent with the observation that the variance of estimates of heritabilities and genetic correlations between populations were about four times the predicted sampling variance, suggesting few real differences in genetic parameters between populations. Except where there was a strong biological or statistical expectation of a difference, there was little evidence for differences between genetic and phenotypic correlations for most trait combinations or for differences in genetic correlations between populations. These results suggest that, even for controlled populations, estimating genetic parameters specific to a given population is less useful than commonly believed. A serendipitous discovery was that, in the standard formula for theoretical standard error of a genetic correlation estimate, the heritabilities refer to the estimated values and not, as seems generally assumed, the true population values.

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