Comparison between automatic and conventional milking systems for milk coagulation properties and fatty acid composition in commercial dairy herds

Marchi, Massimo De; Penasa, M.; Cassandro, Martino

doi:10.1080/1828051x.2017.1292412

Cited by 21 publications

(23 citation statements)

References 33 publications

(54 reference statements)

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“…Therefore, since these cows do not increase feed intake to the same extent, subclinical ketosis may eventually occur. AMS allows higher milking frequencies than conventional systems, providing higher milk yields (Wagner-Storch & Palmer, 2003;Bogucki, Sawa, & Neia, 2014;Sitkowska, Piwczynski, Aerts, & Waskowicz, 2015;De Marchi, Penasa, & Cassandro, 2017). This can worsen negative energy balance and risk of subclinical ketosis, corroborating the results of another study.…”

Section: Increase In Subclinical Ketosissupporting

confidence: 60%

Robotic milking of dairy cows: a review

Filho

Lopes

Brito

et al. 2020

Semina: Ciênc. Agrár.

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Automatic milking systems (AMS) have aroused worldwide interest recently. The first installation was by the company Lely in a project in the Netherlands (its homeland) in 1992. But nowadays, AMS represents a growing reality due to lobby for labor issues, rising costs, difficulty finding well-trained workers, and/ or difficulty keeping people on farms. This work aimed to present a review of the literature on AMS, beginning with a brief history of the evolution of the technology, showing advantages and limitations of its use, and ultimately giving some suggestions. The understanding of the technical functioning and operational running can help farmers and technicians in decision making on the adoption of the new technology. Besides workforce reduction and labor quality promotion, AMS has potential to improve feed conversion to milk, milk quality (with lower SCC), and cow productivity, as well as providing useful data and parameters for better farm management. Potential limitations include high investment costs, changes in milk composition (solids, free fatty acids), and increased risk of ketosis in cows.

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Section: Increase In Subclinical Ketosissupporting

confidence: 60%

Robotic milking of dairy cows: a review

Filho

Lopes

Brito

et al. 2020

Semina: Ciênc. Agrár.

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“…Janković et al [26], who used the Wood model to estimate both Pday and PMY, reported that the Wood model miscalculated the Pday (estimated Pday was 61.1st day while the actual data showed the peak on the 55th day) and un- derestimated the maximum MY (estimated 54.2 kg versus actual 55.46 kg). In the study by De Marchi et al [27], the highest MY was noted near the 50th day of lactation, during which time significant differences between MY levels were observed between the test-day and AMS data, with AMS data showing higher average MY. Løvendahl and Chagunda [28] found the highest MY was observed between the 42nd and 57th day of lactation.…”

mentioning

confidence: 87%

Comparison of the fit of automatic milking system and test-day records with the use of lactation curves

Sitkowska

Kolenda

Piwczyński

2020

Asian-Australas J Anim Sci

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Objective: The aim of the paper was to compare the fit of data derived from daily automatic milking systems (AMS) and monthly test-day records with the use of lactation curves; data was analysed separately for primiparas and multiparas.Methods: The study was carried out on three Polish Holstein-Friesians (PHF) dairy herds. The farms were equipped with an automatic milking system which provided information on milking performance throughout lactation. Once a month cows were also subjected to test-day milkings (method A4). Most studies described in the literature are based on test-day data; therefore, we aimed to compare models based on both test-day and AMS data to determine which mathematical model (Wood or Wilmink) would be the better fit.Results: Results show that lactation curves constructed from data derived from the AMS were better adjusted to the actual milk yield (MY) data regardless of the lactation number and model. Also, we found that the Wilmink model may be a better fit for modelling the lactation curve of PHF cows milked by an AMS as it had the lowest values of Akaike information criterion, Bayesian information criterion, mean square error, the highest coefficient of determination values, and was more accurate in estimating MY than the Wood model. Although both models underestimated peak MY, mean, and total MY, the Wilmink model was closer to the real values.Conclusion: Models of lactation curves may have an economic impact and may be helpful in terms of herd management and decision-making as they assist in forecasting MY at any moment of lactation. Also, data obtained from modelling can help with monitoring milk performance of each cow, diet planning, as well as monitoring the health of the cow.

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“…Milk coagulation properties are reported to be correlated with several milk quality attributes (Glantz et al, 2010;Priyashantha et al, 2019), which in turn are known to be influenced by breed and different on-farm factors (e.g., the type of milking system). The higher milking frequency associated with automated milking systems (AMS), has been suggested to influence several milk compositional parameters compared with milking parlor or tiestall milking (e.g., lower fat and protein content; Løvendahl and Chagunda, 2011), longer rennet coagulation time (RCT) and higher levels of free fatty acids (FFA;De Marchi et al, 2017;Wiking et al, 2019), as well as lower plasmin and plasminogenderived proteolytic activity (Johansson et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Composition and properties of bovine milk: A study from dairy farms in northern Sweden; Part I. Effect of dairy farming system

Priyashantha

Lundh

Höjer

et al. 2021

Journal of Dairy Science

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Comparison between automatic and conventional milking systems for milk coagulation properties and fatty acid composition in commercial dairy herds

Abstract: Cassandro (2017) Comparison between automatic and conventional milking systems for milk coagulation properties and fatty acid composition in commercial dairy herds,

Cited by 21 publications

References 33 publications

Robotic milking of dairy cows: a review

Robotic milking of dairy cows: a review

Comparison of the fit of automatic milking system and test-day records with the use of lactation curves

Composition and properties of bovine milk: A study from dairy farms in northern Sweden; Part I. Effect of dairy farming system

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