scholarly journals Relationship between Temperament and Stage of Lactation, Productivity and Milk Composition of Dairy Cows

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1840
Author(s):  
Ramūnas Antanaitis ◽  
Vida Juozaitienė ◽  
Vesta Jonike ◽  
Vytenis Čukauskas ◽  
Danguolė Urbšienė ◽  
...  
Keyword(s):  
Milk Fat ◽  
Genetic Correlations ◽  
Subclinical Mastitis ◽  
Milk Composition ◽  
Cow Milk ◽  
Phenotypic Correlation ◽  
Protein Ratio ◽  
Stage Of Lactation ◽  
Milk Urea ◽  
Milk Performance

The aim of this study was to assess the relationship between temperament and milk performance in cows at different stages of lactation, describing their productivity, metabolic status and resistance to mastitis. This study showed that with increasing lactation, cows’ temperament indicators decreased (p < 0.001) and they became calmer. The highest temperament score on a five-point scale was found in cows between 45 and 100 days of lactation. In the group of pregnant cows, we found more cows (p = 0.005) with a temperament score of 1–2 compared with non-pregnant cows A normal temperament was usually detected in cows with lactose levels in milk of 4.60% or more and when the somatic cell count (SCC) values in cow milk were <100,000/mL and 100,000–200,000/mL, with a milk fat-to-protein ratio of 1.2. A larger number of more sensitive and highly aggressive cows was detected at a low milk urea level. In contrast to a positive phenotypic correlation (p < 0.05), this study showed a negative genetic correlation between the temperament of cows and milk yield (p < 0.001). Positive genetic correlations between temperament scores and milk somatic cells (p < 0.001) and milk fat-to-protein ratio (p < 0.05) were found to indicate a lower genetic predisposition in cows with a calmer temperament to subclinical mastitis and ketosis. On the other hand, the heritability of temperament (h2 = 0.044–0.100) showed that only a small part of the phenotypic changes in this indicator is associated with genetic factors.

scholarly journals Chosen biotic factors influencing raw cow milk freezing point

2011 ◽  
Vol 59 (5) ◽  
pp. 65-82
Author(s):  
Oto Hanuš ◽  
Yunhai Zhang ◽  
Marek Bjelka ◽  
Josef Kučera ◽  
Petr Roubal ◽  
...  
Keyword(s):  
Freezing Point ◽  
Physical Property ◽  
Milk Composition ◽  
Cow Milk ◽  
Dairy Herds ◽  
Water Addition ◽  
Protein Ratio ◽  
Physiological Factors ◽  
Milk Urea ◽  
Dairy Cow Nutrition

The milk freezing point depression (FPD) is important physical property. FPD is influenced by milk composition especially by components with osmotic pressure activity and by other physiological factors. There is possible to indicate a foreign (extraneous) water addition into milk by FPD. This is necessary to have a good estimated legislative FPD discrimination limit (FPD–L) for purpose of milk quality control. This paper was aimed at obtaining information to improve such estimation. Impacts factors as season variations, estimated state of dairy cow nutrition and some milk components and properties on milk FPD and their relations to FPD were quantified (n 11 540 – 72 607 bulk raw cow milk samples). The highest FPD was in Spring (−0.52097 ± 0.004877 °C), the lowest in Autumn (−0.52516 ± 0.005725 °C; P < 0.001). Correlation between FPD and lactose was 0.35 (P < 0.001). 12% and 5.4% of FPD variability is explainable by lactose and casein variability. Relationship between FPD and urea (U) was 0.26 (P < 0.001) in March. The worst FPD was in group with presupposed (according to milk urea and protein combination) nitrogen matter (NM) and energy (E) insufficiency (−0.51855 ± 0.007288 °C). The best FPD was in group with presupposed NM and E surplus in feeding ration (−0.52536 ± 0.004785 °C; P < 0.001). The FPD was worse in suspicion on E deficiency (on the basis of fat/crude protein ratio) as compared to presumption for balanced E nourishment of dairy herds (−0.52105 ± 0.006436 °C > −0.52244 ± 0.005367 °C; P < 0.001). Results can improve the estimation of objective FPD–L.

scholarly journals Effect of zeolite on the chemical composition of milk from Serbian spotted dairy cattle

2011 ◽  
Vol 27 (3) ◽  
pp. 993-1000
Author(s):  
R. Djokovic ◽  
Z. Ilic ◽  
M.P. Petrovic ◽  
S. Pesev ◽  
B. Ristanovic
Keyword(s):  
Chemical Composition ◽  
Dairy Cattle ◽  
Milk Fat ◽  
Milk Composition ◽  
Housing System ◽  
Control Group ◽  
Stage Of Lactation ◽  
Livestock Feed ◽  
Number Of Factors ◽  
Specific Trait

Milk yield and milk chemical composition are largely affected by the quality of dairy cattle diet. The chemical composition of milk is dependent upon a large number of factors, including breed, diet, care, housing system, stage of lactation, etc. Milk composition is primarily a breed-specific trait. This study was conducted over a period of 15 months, involving Serbian Spotted dairy cattle. The experimental animals were assigned to three groups, each receiving different levels of supplemental zeolite. The control group comprised cows that received no zeolite supplement. Experimental Groups I and II were fed compound feeds supplemented with 4% and 2% zeolite, respectively. Milk samples were analysed for the contents of milk fat, proteins, fat-free solids and lactose, and density. The results obtained suggest that zeolite supplementation affects milk chemical composition, depending on the zeolite level present in livestock feed.

scholarly journals Effect of the stage of lactation on milk composition, its properties and the quality of rennet curdling in East Friesian ewes

2008 ◽  
Vol 53 (No. 2) ◽  
pp. 55-63 ◽  
Author(s):  
J. Kuchtík ◽  
K. Šustová ◽  
T. Urban ◽  
D. Zapletal
Keyword(s):  
Titratable Acidity ◽  
Milk Composition ◽  
The Other ◽  
Phenotypic Correlation ◽  
Clotting Time ◽  
Milk Samples ◽  
Phenotypic Correlations ◽  
Stage Of Lactation ◽  
Sheep Farm

The evaluation of the effect of the stage of lactation on milk composition, its properties and the quality of rennet curdling was carried out over the period of three successive years using milk samples (<I>n</I> = 162) obtained from a total of 27 ewes of the East Friesian (EF) breed, reared on a small sheep farm in Juřinka in the region of Wallachia. The stage of lactation had a highly significant effect on the contents of all milk components. However, only the contents of total solids (TS), solids non-fat (SNF), fat (F), protein (P) and casein (CN) gradually increased with the advancement of lactation. The stage of lactation also had a highly significant effect both on all the properties of milk and the rennet curdling quality (RCQ). All phenotypic correlations between the particular contents of TS, SNF, F, P, CN and urea nitrogen (UN) were positive and high (<I>P</I> ≤ 0.001). On the other hand, all phenotypic correlations between milk yield and particular contents of TS, SNF, F, P, CN and UN were negative and high (<I>P</I> ≤ 0.001). The majority of phenotypic correlations between rennet clotting time (RCT) and the other particular parameters was insignificant. However, the phenotypic correlations between lactose (L) and RCT and between pH and RCT were positive and high (<I>P</I> ≤ 0.001) whereas the phenotypic correlation between titratable acidity (TA) and RCT was negative and high (<I>P</I> ≤ 0.001). The majority of phenotypic correlations between the rennet curdling quality (RCQ) and the other particular parameters was insignificant. Nevertheless, the phenotypic correlations between pH and RCQ and between RCT and RCQ were positive and high (<I>P</I> ≤ 0.001) whereas the phenotypic correlation between TA and RCQ was negative and high (<I>P</I> ≤ 0.001).

Milk composition of Australian sea lions, Neophoca cinerea: variability in lipid content

1991 ◽  
Vol 69 (10) ◽  
pp. 2556-2561 ◽  
Author(s):  
Maria B. Kretzmann ◽  
Daniel P. Costa ◽  
Lesley V. Higgins ◽  
D. J. Needham
Keyword(s):  
Lipid Content ◽  
Milk Fat ◽  
Milk Composition ◽  
Fat Content ◽  
Sea Lion ◽  
Sea Lions ◽  
Milk Samples ◽  
Stage Of Lactation ◽  
Neophoca Cinerea ◽  
Australian Sea Lion

Thirty-eight milk samples collected over three seasons from 23 individual Australian sea lions (Neophoca cinerea) were analyzed. Mean milk composition was 25.4% lipid (± 9.3% SD), 62.4% water (± 8.1%), 10.5% protein (± 2.2%), and 0.9% ash (± 0.2%). Milk composition appeared to vary considerably among females, and occasionally between successive samples from the same individual. Milk fat content was not correlated with pup age (stage of lactation), female mass, length of the preceding foraging trip, or time onshore prior to milk collection. The relatively low lipid content of Australian sea lion milk compared with that of some other otariid seals is consistent with the hypothesis that otariid females making relatively short trips to sea produce milk with lower fat content than those species which make foraging trips of longer duration.

Genetic parameters of milk traits in Latxa dairy sheep

2001 ◽  
Vol 73 (3) ◽  
pp. 407-412 ◽  
Author(s):  
A. Legarra ◽  
E. Ugarte
Keyword(s):  
Milk Fat ◽  
Fixed Effects ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Selection Criterion ◽  
Genetic Effect ◽  
Milk Composition ◽  
Additive Genetic Effect ◽  
Dairy Sheep ◽  
Milk Traits

AbstractA total of 7444 lactation records which include milk, fat and protein yields (MY, FY, PY) and fat and protein content (F%, P%) from 6429 Black-Faced Latxa ewes were employed to estimate genetic parameters for milk traits. Traits were standardized to 120 days of lactation. For the calculation of composition traits, not all test-days had their composition measured and therefore a correction taking this into account was included in the analysis. A first-derivative restricted maximum likelihood algorithm was used on an animal model with repeatability analysis, using models including fixed effects (flock-year-season of lambing, age-parity at lambing, number of lambs, interval between lambing and first milk recording and the combination of sampled test-days) and random effects (the additive genetic effect and the permanent environmental effect). The resulting heritabilities were 0·20, 0·16, 0·18, 0·14 and 0·38 for MY, FY, PY, F% and P% respectively. Heritability of F% was much lower than expected, probably due to problems derived from the recording method. Genetic correlations were high and positive between yields and moderately positive between F% and P%, and negative or null between yields and composition, as has been reported for other European dairy sheep breeds. As most of the milk produced by Latxa dairy sheep is processed into cheese, the inclusion of milk sampling in official milk recording and a change in the selection criterion are recommended to avoid a long-term worsening in milk composition.

Effect of milk fat to protein ratio on genetic variance for milk yield in Thai tropical Holstein cattle

2016 ◽  
Vol 96 (3) ◽  
pp. 410-415 ◽  
Author(s):  
S. Puangdee ◽  
M. Duangjinda ◽  
W. Boonkum ◽  
S. Buaban ◽  
S. Katawatin
Keyword(s):  
Milk Fat ◽  
Variance Components ◽  
Legendre Polynomials ◽  
Bayesian Method ◽  
Genetic Variance ◽  
Genetic Correlations ◽  
Random Regression ◽  
Third Order ◽  
Protein Ratio ◽  
Regression Test

The objective of this research was to investigate the optimum fat to protein ratio (FPR) in Thai tropical Holstein dairy cattle. First parity data consisting of 20 492 milk yields (MY) records for 24 891 cows for the period 2001 and 2011, were used in the analysis. The analysis used a random regression test-day animal model of third-order Legendre polynomials through the creation of a covariance function based on different FPRs. Variance components were estimated using the Bayesian method via the Gibbs sampling. The estimated heritability of MY in relation to FPR ranged from 0.19 to 0.27 with the pattern being similar to the genetic variances. Genetic correlations of MY at different FPRs were high at consecutive FPRs and then declined to negative in response to greater differences in FPR. Based on the results, it is concluded that the optimum FPR is in the range of 0.9 to 1.9, corresponding to the genetically controlled energy balance for MY in tropical Holsteins.

scholarly journals Schätzung genetischer Parameter für Testtagsergebnisse von Milchleistungsmerkmalen bei Bunten Deutschen Edelziegen

2004 ◽  
Vol 47 (2) ◽  
pp. 193-202
Author(s):  
D. Bömkes ◽  
H. Hamann ◽  
O. Distl
Keyword(s):  
Protein Content ◽  
Milk Yield ◽  
Milk Fat ◽  
Genetic Parameters ◽  
Genetic Correlations ◽  
Protein Yield ◽  
Lower Saxony ◽  
Genetic Progress ◽  
Performance Traits ◽  
Milk Performance

Abstract. Title of the paper: Estimation of genetic parameters for test day records of milk performance traits in German Improved Fawn The objectives of this study were to estimate genetic parameters for milk performance traits of German Improved Fawn by using univariate und multivariate animal models. The analysis was based on 27,778 test day records of 1,848 German Improved Fawn with 3,574 lactation records distributed over 229 flocks in Lower Saxony, Saxony and Baden-Wuerttemberg. Milk records were sampled between 1988 and 2002. The animals in our analysis were the progeny of 455 sires and 1.148 does. Heritabilities estimated with a multivariate test day model with fixed regression were h2 = 0.19, 0.16 and 0.15 for milk, fat and protein yield. For fat and protein content and Somatic Cell Score (SCS) heritabilities were h2 = 0.17, 0.14 and 0.16, respectively. The additive genetic correlations between milk yield and fat as well as protein yield of German Improved Fawn were very high and positive (rg = 0.84 and rg = 0.77). Milk yield and milk contents were genetically negative correlated with rg = −0.28 for fat and rg = −0.22 for protein content. A moderate additive genetic correlation (rg = 0.48) between fat and protein content was estimated. There were no considerable additive genetic correlations between fat yield and protein content as well as between fat content and protein yield (rg = 0.05 and rg = 0.09). Additive genetic correlations between milk, fat or protein yield and SCS were high and negative, whereas additive genetic correlations between fat or protein content and SCS were low and positive. The genetic parameters estimated from field test records allow to achieve genetic progress in milk performance traits of German Improved Fawn.

scholarly journals Effect of supplementation of rumen protected choline and methionine on milk yield and composition of early lactating dairy cows

2021 ◽  
Vol 52 (2) ◽  
Author(s):  
Jayaraj Neelima ◽  
Purushothaman Sajith ◽  
K. Ally ◽  
Ananth Deepa ◽  
Simon Shibu
Keyword(s):  
Dairy Cows ◽  
Milk Yield ◽  
Milk Fat ◽  
Milk Composition ◽  
Treatment Groups ◽  
Nitrogen Levels ◽  
Lactating Dairy Cows ◽  
Significant Difference ◽  
Milk Urea ◽  
Dietary Treatments

An experiment was conducted on early lactating dairy cows to study the effect of rumen protected choline (RPC) and methionine (RPM) on milk yield and composition. Fifteen crossbred dairy cows in early lactation (within 10 days of calving) were selected and randomly allotted to any one of the following three dietary treatments, T1 (Control)- with compound feed mixture containing CP- 20% and TDN- 68% , T2- T1+20g RPM and 20g RPC, T3- with compound fed mixture containing CP- 17%, TDN- 68% + 20g RPM and 20g RPC. All the experimental animals were fed as per ICAR feeding standards (ICAR, 2013). Results revealed no significant difference (p>0.05) in milk yield and 4 per cent fat corrected milk (FCM) yield between the three treatment groups. Among the milk constituents, animals in T3 had significantly higher milk fat (p<0.05), SNF (p<0.05), protein (p<0.05) and total solids (p<0.01) compared to those in T1 and T2. Milk urea nitrogen levels did not differ significantly among the three treatments and were within the normal range. The study showed that milk composition could be effectively improved by supplementing feed with rumen protected forms of choline and methionine in combination at lower dietary protein level without any reduction in milk yield.

scholarly journals Intramammary antibiotics in dairy goats : effect of stage of lactation, parity and milk volume on withdrawal periods, and the effect of treatment on milk compositional quality

2007 ◽  
Vol 74 (3) ◽  
Author(s):  
J. Karzis ◽  
E.F. Donkin ◽  
I.M. Petzer
Keyword(s):  
Negative Correlation ◽  
Milk Fat ◽  
Animal Health ◽  
Cow Milk ◽  
Strong Positive Correlation ◽  
Withdrawal Period ◽  
Dairy Goats ◽  
Positive Correlation ◽  
Stage Of Lactation ◽  
Moderate Negative Correlation

The length of the antibiotic withdrawal period after intramammary treatment was influenced by the milk yield of dairy goats during this trial. Shorter withdrawal periods were seen in relatively high yielding dairy goats (production above 1.5 ℓ per day) compared to low producers (less than 1.3 ℓ per day). High yielding goats treated with Curaclox LC (Norbrook [Pharmacia AH]) had a withdrawal period of 42 h, while low yielding goats, treated with the same product, had a withdrawal period of 74 h. The recommended withdrawal period for Curaclox LC for use in cattle is 72 h. Relatively high yielding goats treated with Rilexine 200 LC (Logos Agvet [Virbac]) had a significantly shorter withdrawal period (37 h) than that recommended for use in cattle (96 h). Low yielding goats treated with Spectrazol Milking Cow (Schering-Plough Animal Health) had a significantly longer (95 h) withdrawal period than that recommended for use in cattle (60 h). Withdrawal periods were also influenced by stage of lactation and parity. There was a moderate positive correlation between lactation number and withdrawal period, as measured by TRIS (R2 = 0.621), and a moderate negative correlation between stage of lactation and withdrawal period (R2 = -0.669). In Trials 1, 2 and 3 combined there was a moderate negative correlation between withdrawal period and volume (R2 = -0.511) and a strong positive correlation between withdrawal period and lactation number (R2 = 0.720). The differences in percentage milk fat, protein and lactose before, during and after treatment were not statistically significant except in Trial 3 (Curaclox LC and Rilexine 200 LC) where protein and lactose differed significantly. In Trial 2 (Spectrazol Milking Cow) milk fat percentages differed significantly between treatment and control groups as did protein percentages in Trial 3. These differences are however, not biologically meaningful.

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