Yield and composition of milk from Polish Holstein-Friesian and Jersey cows in particular months of the first lactations as dependent on milk protein polymorphism (short communication)

Miciński, Jan; Jastrzębski, Marek; Klupczynski, J.

doi:10.5194/aab-51-216-2008

Cited by 3 publications

(2 citation statements)

References 13 publications

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“…This was confirmed by Silvestre et al (2009), who applied Wood's model (Wood, 1976) instead of Wilmink's. At the same time, Miciński et al (2008) found a decrease in total CN and whey protein yields from the first to the last stage of lactation in a Jersey population, whereas the patterns for the Holstein-Friesians were more similar to a zenith curve.…”

Section: Pattern Of Milk Proteins Throughout Lactationmentioning

confidence: 77%

Nonlinear modeling to describe the pattern of 15 milk protein and nonprotein compounds over lactation in dairy cows

Amalfitano

Rosa

Cecchinato

et al. 2021

Journal of Dairy Science

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The protein profile of milk includes several caseins, whey proteins, and nonprotein nitrogen compounds, which influence milk's value for human nutrition and its cheesemaking properties for the dairy industry. To fill in the gap in current knowledge of the patterns of these individual nitrogenous compounds throughout lactation, we tested the ability of a parametric nonlinear lactation model to describe the pattern of each N compound expressed qualitatively (as % of total milk N), quantitatively (in g/L milk), and as daily yield (in g/d). The lactation model was tested on a data set of detailed milk nitrogenous compound profiles (15 fractions-12 protein traits and 3 nonproteins-for each expression mode: 45 traits) obtained from 1,342 cows reared in 41 multibreed herds. Our model was a modified version of Wilmink's model, often used for describing milk yield during lactation because of its reliability and ease of parameter interpretation from a biological point of view. We allowed the sign of the persistency coefficient (parameter c) that explained the variation in the long-term milk component (parameter a) to be positive or negative. We also allowed the short-term milk component (parameter b) to be positive or negative, and we estimated a specific speed of adaptation parameter (parameter k) for each trait rather than assumed a value a priori, as in the original model (k = 0.05). These 4 parameters were included in a nonlinear mixed model with cow breed and parity order as fixed effects, and herd-date as random. Combinations of the positive and negative signs of the b and c parameters allowed us to identify 4 differently shaped lactation curves, all found among the patterns exhibited by the nitrogenous fractions as follows: the "zenith" curve (with a maximum peak; for milk yield and 10 other N traits), the "nadir" curve (with a minimum point; for 20 traits, including almost all those expressed in g/L of milk), the "downward" curve (continuously decreasing; for 14 traits, including almost all those in g/d), and the "upward" curve (continuously increasing; only for κ-casein, in % N). Direct estimation of the k parameters specific to each trait showed the large variability in the adaptation speed of fresh cows and greatly increased the model's flexibility. The results indicated that nonlinear parametric mathematical models can effectively describe the different and complex patterns exhibited by individual nitrogenous fractions during lactation; therefore, they could be useful tools for interpreting milk composition variations during lactation.

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Section: Pattern Of Milk Proteins Throughout Lactationmentioning

confidence: 77%

Nonlinear modeling to describe the pattern of 15 milk protein and nonprotein compounds over lactation in dairy cows

Amalfitano

Rosa

Cecchinato

et al. 2021

Journal of Dairy Science

View full text Add to dashboard Cite

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“…Research on milk protein genes conducted in recent years (Czerwińska-Piotrowska, Kamieniecki, 2004;Czerwińska-Piątkowska et al, 2004;Feleńczak et al, 2000;Juszczak et al, 2001;Miciński et al, 2008;Pytlewski et al, 2004;Tsiaras et al, 2005;Ziemiński et al, 2005;Litwińczuk et al, 2006) yielded ambiguous results, which were mainly affected by the living conditions and nutrition of animals, as well as used statistical models.…”

Section: Introductionmentioning

confidence: 99%

Milk protein polymorphisms and effect of herds on cows` milk composition

Sitkowska¹,

Neja²,

Milczewska³

et al. 2013

JCEA

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Kappa-casein (CSN3) and beta-lactoglobulin (LGB) loci affect milk yield traits and the quality of milk protein. Their polymorphisms explain the role of genetic variance and facilitate estimation of breeding value. Our research was aimed at estimating the effect of beta-lactoglobulin and kappa-casein genotypes on milk yield and the chemical composition of milk, for cows bred in three herds in the kujawsko-pomorskie province. We divided the cows into three groups depending on their betalactoglobulin and kappa-casein polymorphisms: AA, AB and BB. The percentage of AB LGB heterozygotes in the examined population was the highest, at 44%; whereas the frequency of both gene alleles was at a similar level. In the kappa-casein gene, we found that there was a predominance of AA CSN3 genes (0.69), and a small percentage of BB CSN3 genotypes (0.07). We also observed a higher frequency of the A allele (0.81) as compared to the B allele (0.19), which is desired in breeding. Analysing the influence of the examined factors, we established a statistically significant influence of the barn as well as interactions between the barn and the LGB and CSN3 genotype on the percentage of fat and protein in milk from all examined lactations. Milk yield is influenced by the interaction between examined genotypes and the LGB genotype. The highest fat and protein content in the first lactation was found in animals with the AB LGB genotype: 4.53% of fat and 3.41% of protein. In lactations 2 and 3, the highest values for these parameters were noted for cows with the AA LGB genotype. As to the kappa-casein gene, we observed that cows with the AA CSN3 genotype constituted the largest group. Heterozygous animals produced the highest amount of milk with higher fat and protein yield as compared to the other groups.

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