scholarly journals The influence of crossbreeding and LPL genotype on the yield, composition and quality of goat milk

Mljekarstvo ◽  
2021 ◽  
Vol 72 (1) ◽  
pp. 33-42
Author(s):  
Lina Laučienė ◽  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Quality Indicators ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Selection Process ◽  
Goat Milk ◽  
Lpl Gene ◽  
Milk Urea

The aim of this study was to investigate the influence of crossbreeding and the LPL genotype on goat milk yield, composition and quality indicators. This research was carried out in a herd of pure-breed Saanen, Anglo-Nubian, and crossbred Saanen and Anglo-Nubian goats (n=137) in Lithuania. Saanen x Anglo-Nubian crossbred goats and Saanen had a significantly (P<0.05) higher (34.91% and 16.03 %, respectively) milk yield compared to Anglo-Nubian goats. The highest (P<0.05) fat and protein and the lowest (P<0.05) lactose percentages and somatic cell count were found in the milk of Anglo-Nubian goats, compared to Saanen x Anglo-Nubian crossbreds and Saanen goats. The highest (P<0.05) milk yield was determined in the CC genotype of the LPL gene (on average 20.08 % higher than in the CG and GG genotypes) of goats. However, the milk yield of the CC genotype was characterised (P<0.05) by the lowest fat, protein and milk urea levels, and the highest amount of lactose compared to the milk of the GG genotype. The study showed that breed and LPL genotype affected goat milk yield and composition and appear to be the valuable biomarkers of the goat selection process.

Hygienic quality, milk yield and basic composition of sheep milk depending on the stage of lactation

2016 ◽  
Vol 12 (1) ◽  
pp. 9-15
Author(s):  
Sylwia Bielińska-Nowak ◽  
Grażyna Czyżak-Runowska
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Dry Matter ◽  
Microbiological Quality ◽  
Basic Composition ◽  
Stage Of Lactation ◽  
Sheep Milk

The aim of the study was to determine the influence of the stage of lactation on the yield and quality of sheep milk. The material for the investigation was milk from morning milking of 30 East Friesian sheep in their third to fifth lactation. Milking began after the lambs were weaned and continued for about 120 days. Milk samples were collected individually from the sheep in three stages of lactation: at its peak, during the stabilized stage and at the end (late) lactation. Daily milk yield, total bacterial count, somatic cell count and the basic composition of the milk were determined. The microbiological quality of the milk was very high and the somatic cell count was favourable. As lactation progressed the somatic cell count increased while microbiological quality remained stable. At the end of lactation a significant increase was noted in the concentration of dry matter, protein and fat, accompanied by a decrease in lactose concentration, in comparison with the peak of lactation. Yield was shown to be negatively correlated with fat (–0.63; p≤0.01) and dry matter (–0.53; p≤0.01) and positively correlated with lactose (0.61; p≤0.01).

scholarly journals Somatic Cell Count and Milk Yield Losses in Goats

2017 ◽  
Vol 65 (4) ◽  
pp. 1149-1160 ◽  
Author(s):  
Oto Hanuš ◽  
Petr Roubal ◽  
Josef Kučera ◽  
Marcela Klimešová ◽  
Radoslava Jedelská ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Crude Protein ◽  
Geometric Mean ◽  
Goat Milk ◽  
Dairy Goat ◽  
Yield And Quality ◽  
The Relationship

This work is aimed at prediction and quantification of goat milk yield (MY, kg) losses by the somatic cell count (SCC, 103.ml−1) in milk recording. The goal is to support the prevention of milk secretion disorders, milk yield and quality. During two years there were evaluated composition and properties of individual milk samples (n = 1 173). There were included animals of brown short‑haired (BSH) breed and BSH × white short‑haired in one flock. The linear and nonlinear regression, interpolation, extrapolation, approximation and qualified estimation were used for milk losses prediction along the SCC. The relevant values of the SCC arithmetic and geometric mean and median and MY arithmetic mean were: 1,400 103.ml−1 (with high variability of 128 %), 745 and 747 103.ml−1; 2.94 kg/ day. The relationship between fat and crude protein had a correlation coefficient of 0.395, P < 0.001. There were stated the correlations between SCC and: lactose −0.416, P < 0.001; solids non fat −0.25, P < 0.001; MY −0.135, P < 0.01. The relationship between SCC and MY was negative along months, 6 cases out of 7 and significant in March and May (P < 0.05 and P < 0.01). For instance predicted MY for SCC intervals 1–1.999, 2–2.999, 3–3.999, 4–4.999, 5–5.999, 6–6.999 and ≥ 7 thousands 103.ml−1 may be 3.99, 3.77, 3.6 , 3.46, 3.33, 3.23 and 3.13 kg in 3rd month etc. The corresponding MY losses by SCC are evident from this trend. The result use is focused on the original dairy goat farm and use elsewhere is possible in farms with similar SCC, goat milk yield and rearing system.

scholarly journals The Use of Teat-End Hyperkeratosis to Predict Somatic Cell Count and Milk Quality of Holstein Cows Raised in Egypt

2021 ◽  
Vol 44 (2) ◽  
pp. 213-221
Author(s):  
S. Abdelghany ◽  
N. H. Fahim ◽  
F. Samir ◽  
M. A. Radwan
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Digital Camera ◽  
Holstein Cows ◽  
Simple Linear Regression ◽  
Milk Traits ◽  
Unit Increase

The study aimed to investigate the association between teat-end hyperkeratosis (THK) and somatic cell count (SCC) and to assess the effect of SCC on milk yield, fat, and protein percentages of Holstein cows. A total of 740 udder quarters of 185 Holstein cows kept in three commercial herds in Egypt were enrolled in the study from May to September 2019. Foremilk samples were collected from udder quarters for assessing milk SCC, fat, and protein percentages. On the same cows, a digital picture of each teat end orifice was taken with a digital camera. Cows’ teats were assessed for THK and classified into two different groups of hyperkeratosis; mild and severe THK. SCC was converted to five classes of somatic cell score (SCS). Simple linear regression was performed to determine the loss of milk yield, fat, and protein percentages. SCC was significantly affected by THK (p<0.0001). About 57% of teats were classified as mild THK and 43% as severe THK. The teats with severe THK recorded higher SCC in milk. It was observed that SCS had a significant effect on fat and protein percentages (p<0.0001). A similar trend was shown for the effect of SCS on milk yield (p<0.05), where the highest values of milk traits were obtained for the lowest SCS. The loss of milk was 220 g/day. Also, fat and protein percentages decreased by 0.11% and 0.08%, respectively, for each unit increase in SCS, from zero to four. In conclusion, severe THK can lead to high SCC, which negatively affects milk traits.

scholarly journals Lactation Characteristics in Alpine and Nera di Verzasca Goats in Northern Italy: A Statistical Bayesian Approach

2021 ◽  
Vol 11 (16) ◽  
pp. 7235
Author(s):  
Stella Agradi ◽  
Alessia Libera Gazzonis ◽  
Giulio Curone ◽  
Massimo Faustini ◽  
Susanna Draghi ◽  
...  
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Dairy Product ◽  
Goat Milk ◽  
Developed Countries ◽  
Local Breed ◽  
Local Climate ◽  
Observation Results

In the last three decades, we assisted in a shift in the dairy product preferences in developed countries, with an increase in goat-derived products consumption. As already seen in the bovine sector, the diffusion of goat milk consumption has led to an abandonment of the local breeds in favor of the more productive cosmopolitan breeds, with an intense reduction in the livestock biodiversity. However, in several studies, it has been shown that local breeds present unique features such as a robust behavior towards the local climate and a high quality of their dairy products. This study aims to assess the differences between the basic lactation variables (milk yield, fat %, protein %, lactose % and somatic cell count) in the Alpine goat and the local breed Verzasca goat from a Bayesian point of observation. Results indicate that the Nera di Verzasca goat has overall lactation characteristics similar toa cosmopolite breed such as the Alpine goat, except for the milk daily yield reduced with respect to Alpine goats (1.68 ± 0.84 and 2.14 ± 1.03, respectively). Moreover, the Verzasca goat showed a tendency to maintain a lower level of somatic cell count along with lactation (798 ± 1734 and 1216 ± 2828, respectively). These findings help to increase the knowledge about the Italian local goat breeds and are important in the optic of biodiversity conservation.

scholarly journals Relationship of milking traits and somatic cell count with electrical conductivity of goat milk during different milking phases

2020 ◽  
Vol 70 (4) ◽  
pp. 292-299
Author(s):  
Birutė Šlyžienė ◽  
Lina Anskienė ◽  
Evaldas Šlyžius ◽  
Vida Juozaitienė
Keyword(s):  
Electrical Conductivity ◽  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Somatic Cell Count ◽  
Goat Milk ◽  
Initial Time ◽  
Good Tool ◽  
Saanen Goat ◽  
Milk Flow

The aim of this study was to estimate the relation between milking traits and somatic cell count with electrical conductivity of goat milk during different milking phases. The research was carried out in the herd of Czech White Shorthaired and Saanen goat breeds (n=323) with the help of the electronic milk flow meter LactoCorder®. The milk yield, milking duration, milking flow rate and electrical conductivity of milk in the different phases of milking showed the significant mean differences between the breeds. Almost all (except electrical conductivity during the initial time) investigated indicators of electrical conductivity had a significant positive correlation with SCC. The bimodality of milk flow was determined in 9.69 % of goats and associated with milk yield decrease and SCC increase (P&lt;0.05). The results confirm that the milk flow curve data is a good tool to control milking traits of goats, to predict the prevalence of mastitis and, thus, to improve the health of the udder of goats.

scholarly journals Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights

Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1291
Author(s):  
Ryan S. Pralle ◽  
Joel D. Amdall ◽  
Robert H. Fourdraine ◽  
Garrett R. Oetzel ◽  
Heather M. White
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Milk Yield ◽  
Milk Fat ◽  
Somatic Cell Count ◽  
Past Research ◽  
Management Tool ◽  
Milk Analysis ◽  
Linear Regression Models ◽  
High Throughput Detection

Prediction of hyperketonemia (HYK), a postpartum metabolic disorder in dairy cows, through use of cow and milk data has allowed for high-throughput detection and monitoring during monthly milk sampling. The objective of this study was to determine associations between predicted HYK (pHYK) and production parameters in a dataset generated from routine milk analysis samples. Data from 240,714 lactations across 335 farms were analyzed with multiple linear regression models to determine HYK status. Data on HYK or disease treatment was not solicited. Consistent with past research, pHYK cows had greater previous lactation dry period length, somatic cell count, and dystocia. Cows identified as pHYK had lower milk yield and protein percent but greater milk fat, specifically greater mixed and preformed fatty acids (FA), and greater somatic cell count (SCC). Differential somatic cell count was greater in second and fourth parity pHYK cows. Culling (60d), days open, and number of artificial inseminations were greater in pHYK cows. Hyperketonemia prevalence decreased linearly in herds with greater rolling herd average milk yield. This research confirms previously identified risk factors and negative outcomes associated with pHYK and highlights novel associations with differential SCC, mixed FA, and preformed FA across farm sizes and production levels.

scholarly journals Somatic cell count of milk from different goat breeds

2015 ◽  
Vol 8 (1) ◽  
pp. 45-54
Author(s):  
J. Csanádi ◽  
J. Fenyvessy ◽  
S. Bohata
Keyword(s):  
Somatic Cell ◽  
Cell Count ◽  
Somatic Cell Count ◽  
Goat Milk ◽  
Reference Method ◽  
Fermented Milk ◽  
Linear Calibration ◽  
Limit Value ◽  
White Side ◽  
Standard Limit

Abstract There is no standard limit value for somatic cell count (SCC) of raw goat milk in the EU despite that excellent hygienic quality milk is needed for the manufacture of fermented milk products or cheese varieties. Mastitis often results such high SCC - besides the potential risk for humans - that the clotting of milk will not be perfect, resulting slack curd with higher whey releasing; furthermore, wrong structure, ripening, bad sensory properties of cheese can also be its consequences. In this paper, we report the SCC of milk samples from five different goat breeds bred in Hungary, measured with two fast methods compared with the results from the reference method. Furthermore, we investigated the applicability and the accuracy of the MT-02 (Agro Legato Ltd., Hungary) instrument. We determined that the White Side test and the instrument MT were suitable for the estimation of possible risks and consequences in the case of the use of high SCC milk before production. The general summarized average milk SCC was 6.64 × 105 ml−1. The highest difference between the results from MT-02 and the fluorometric (reference) method was 5 × 105 ml−1, but it was a singular, extreme value. The r2 of the calculated linear calibration equation was 0.7819; consequently, this method seems to be applicable in the measurement of SCC with MT-02 instrument. Furthermore, the SCC of samples did not differ significantly by genotypes and by seasons (spring: 5.85 × 105 ml−1, autumn: 6.22 × 105 ml−1).

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