Yields and Persistency of Lactation in Friesian and Jersey Cows Milked Once Daily

López‐Villalobos, N.; Dalley, D. E.; Clark, D. A.; Holmes, C. W.

doi:10.3168/jds.s0022-0302(06)72269-x

Cited by 34 publications

(36 citation statements)

References 14 publications

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“…Moreover, milk yield in M-DIM60 group was lower (P ≤ 0.01) than in H-DIM200 group (Table 4). The results of the UFL = 7200 kcal NEL, NEL = netto energy for lactation, UFL = feed unit for lactation, PDIN = protein digested in the small intestine supplied by rumen-undegraded dietary protein and by microbial protein from rumen-degraded organic matter, PDIE = protein digested in the small intestine supplied by rumen-undegraded dietary protein and by microbial protein from rumen-fermented organic matter, LFU = fill unit for lactating dairy cows, ADF = acid-detergent fibre, NDF = neutraldetergent fibre study are in agreement with the results showed by Hickson et al (2006) indicating negative correlation between lactation duration and peak yield in the Friesians.…”

Section: Resultssupporting

confidence: 80%

Relationship between milk yield, stage of lactation, and some blood serum metabolic parameters of dairy cows

Jóźwik¹,

Strzałkowska²,

Bagnicka³

et al. 2012

Czech J. Anim. Sci.

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The increase of milk production observed in dairy cows after calving is usually related to insufficient feed intake, which leads to negative energy balance (Drackley, 1999a, b). The energy demand of high-yielding cows in the peak of lactation exceeds the amounts of net energy from diet. This is a result of a decreased appetite after parturition and an increase in metabolic processes, which in consequences requires large amounts of substrates for milk constituents synthesis. A lack of sufficient nutritional components in the feed results in the use of body reserves, because in order to decrease the energetic deficiency, surplus fat is mobilized and undergoes lipolytic processes. Fat hydrolysis causes increased fatty acids metabolism in the liver, resulting in adipose tissue degeneration (Mulligan et al., 2006). Intensified lipolysis leads to metabolic disorders like hyperketonemia, hypoglycemia, and hyperbilirubinemia (Ingvarsten et al., 2003;Mulligan et al., 2006). These metabolic disorders negatively affect the yield, chemical composition, and technological parameters of milk (Rzewuska et al., 2011) and fertility traits as well (Roxtrom et al., 2000). Under conditions of energy deficiency also rumen functional disorders can be noticed. The function of the digestive tract organs determines the metabolic balance of the whole organism of a high yielding cow (Ingvarsten et al., 2003; Relationship between milk yield, stage of lactation, and some blood serum metabolic parameters of dairy cowsA. Jóźwik, N. Strzałkowska, E. Bagnicka, W. Grzybek, J. Krzyżewski, E. Poławska, A. Kołataj, J.O. HorbańczukInstitute of Genetics and Animal Breeding PAS in Jastrzębiec, Wólka Kosowska near Warsaw, Poland ABSTRACT: The aim of the study was to evaluate the effect of milk yield and stage of lactation on the activity of liver enzymes, cholesterol, and vitamin C concentration in blood of milking cows. The experiment was carried out on Polish Holstein-Friesian Black and White dairy cows with two different milk yield levels: M -medium (about 7000 kg per lactation) and H -high (about 10 000 kg per lactation). In blood serum, AST, ALT, GGT, CHOL, and vitamin C were estimated. The AST and ALT activities in the blood serum were lower in M group than in H group, however within M and H groups there were no differences in both aminotransferases activity between the 60 th and the 200 th day of lactation. Differences in GGT activity (P ≤ 0.01), CHOL (P ≤ 0.05), and vitamin C level (P ≤ 0.01) in blood serum were found between both stages of lactation. Negative correlations between vitamin C level with somatic cell count and milk yield traits were observed, that may indicate an increase in oxidative processes in high-yielding dairy cows. The achieved results may be used in diagnostics and/or evaluation of herds from the point of view of biochemical and pathophysiological processes.

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Section: Resultssupporting

confidence: 80%

Relationship between milk yield, stage of lactation, and some blood serum metabolic parameters of dairy cows

Jóźwik¹,

Strzałkowska²,

Bagnicka³

et al. 2012

Czech J. Anim. Sci.

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“…In addition, the decline in daily milk yield (c) was highest with the Holstein cows, indicating a less persistent lactation profile than for the J Â HF cows. This is consistent with the findings of Hickson et al (2006), who reported higher lactation persistency in pure bred Jersey dairy cows compared with Friesian dairy cows. Although there were subtle differences between genotypes in the shape of the fat plus protein yield lactation curve, neither peak yield, nor the rate of decline after the peak differed between genotypes, with this reflected in the absence of a genotype effect on full lactation fat plus protein yield.…”

Section: Milk Production and Compositionsupporting

confidence: 95%

Comparison of the performance of Holstein-Friesian and Jersey×Holstein-Friesian crossbred dairy cows within three contrasting grassland-based systems of milk production

et al. 2013

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“…According to Cole & VanRaden (2006), genetic selection for persistency of lactation may become an important technology in the future; therefore, it should be considered in selection objectives to improve the productive efficiency of dairy herds (Hickson et al, 2006).…”

Section: Resultsmentioning

confidence: 99%

Persistency of lactation using random regression models and different fixed regression modeling approaches

Cobuci

Costa

2012

R. Bras. Zootec.

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-Milk yield test-day records on the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters and predict breeding values for nine measures of persistency and 305-d milk yield in a random regression animal model using two criteria to define the fixed regression. Legendre polynomials of fourth and fifth orders were used to model the fixed and random regressions of lactation curves. The fixed regressions were adjusted for average milk yield on populations (single) or subpopulations (multiple) formed by cows that calved at the same age and in the same season. Akaike Information (AIC) and Bayesian Information (BIC) criteria indicated that models with multiple regression lactation curves had the best fit to test-day milk records of first lactations, while models with a single regression curve had the best fit for the second and third lactations. Heritability and genetic correlation estimates between persistency and milk yield differed significantly depending on the lactation order and the measures of persistency used. These parameters did not differ significantly depending on the criteria used for defining the fixed regressions for lactation curves. In general, the heritability estimates were higher for first (0.07 to 0.43), followed by the second (0.08 to 0.21) and third (0.04 to 0.10) lactation. The rank of sires resulting from the processes of genetic evaluation for milk yield or persistency using random regression models differed according to the criteria used for determining the fixed regression of lactation curve.

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Yields and Persistency of Lactation in Friesian and Jersey Cows Milked Once Daily

Cited by 34 publications

References 14 publications

Relationship between milk yield, stage of lactation, and some blood serum metabolic parameters of dairy cows

Relationship between milk yield, stage of lactation, and some blood serum metabolic parameters of dairy cows

Comparison of the performance of Holstein-Friesian and Jersey×Holstein-Friesian crossbred dairy cows within three contrasting grassland-based systems of milk production

Persistency of lactation using random regression models and different fixed regression modeling approaches

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