Genetic associations of teat cup attachment failures, incomplete milkings, and handling time in automatic milking systems with milkability, temperament, and udder conformation

Carlström, C.; Strandberg, E.; Pettersson, G.; Johansson, Kjell; Stålhammar, H.; Philipsson, J.

doi:10.1080/09064702.2016.1260153

Cited by 15 publications

(50 citation statements)

References 13 publications

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“…In the same study, genetic parameters of handling time (HT; defined as time in AMS before and after milking) in minutes were investigated. The estimated heritability for handling time was 0.15 for Swedish Reds and 0.05 for Swedish Holsteins; a strong genetic association between subjectively scored temperament and teat cup KO in AMS was also found (Carlström et al, 2016). Temperament in Swedish Reds scored subjectively on a 9-point scale showed a genetic correlation of −0.71 with KO traits.…”

Section: Introductionmentioning

confidence: 81%

“…Some studies investigated the use of AMS records as objective measurements of behavioral traits (Rinell et al, 2014;Carlström et al, 2016;Stephansen et al, 2018). Teat cup KO in AMS were found to be genetically related to cows' milking temperament.…”

Section: Introductionmentioning

confidence: 99%

“…Rinell et al (2014) analyzed 2 differently defined KO traits in Swedish Holstein cows; daily number of milkings with KO and proportion of KO during lactation showed heritability of 0.06 and 0.31, respectively. Carlström et al (2016) investigated traits related to cow temperament in AMS for Swedish Red dairy cattle. Information about unsuccessful milkings, such as incomplete milking (IM) and teat cup attachment failures (or KO), showed low to medium heritabilities of 0.06 and 0.21, respectively.…”

Section: Introductionmentioning

confidence: 99%

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Genetic analyses of novel temperament and milkability traits in Norwegian Red cattle based on data from automatic milking systems

Wethal

Heringstad

2019

Journal of Dairy Science

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The number of dairy cows milked in automatic milking systems (AMS) is steadily increasing in Norway. Capacity and efficiency of AMS are highly dependent on the individual cow's milking efficiency, such as milking speed and occupation time in the milking robot. Cows meet new challenges in herds utilizing AMS. Consequently, new or revised traits may be needed for genetic evaluation of dairy cattle. The AMS records relevant information on an individual cow basis. The aims of this study were to estimate genetic parameters of new automatically recorded milkability and temperament traits. Data from 77 commercial herds with Norwegian Red dairy cattle were analyzed by mixed linear animal models. The final data set contained 1,012,912 daily records from 4,883 cows in first to ninth lactation. For variance component estimation, univariate and bivariate models were used. Daily records of box time (BT), average flow rate (FR), kilograms of milk per minute of box time (MEF), handling time (HT), log-transformed HT, milking frequency, and milking interval were analyzed with repeatability models. Among these traits, FR, BT, and MEF showed the highest heritabilities of 0.48, 0.27, and 0.22, respectively, whereas heritability of log-transformed HT, HT, milking frequency, and milking interval was low (0.02-0.07). Unsuccessful milkings expressed as rejected milkings, incomplete milkings (IM), milkings with kick-offs (KO), and teat not found also showed low heritabilities (0.002-0.06). Due to low frequency, KO, rejected milkings, IM, and teat not found were also analyzed as proportions per lactation, which resulted in slightly higher heritability estimates. Genetic correlations were favorable and intermediate to strong between BT, HT, MEF, and FR with absolute values above 0.50. Intermediate and favorable correlations were found for IM and KO with BT, HT, MEF, and FR. Cow milkability in AMS can be improved by selection for reduced number of unsuccessful milkings, faster FR, increased MEF, and shorter BT and HT. Our results confirm that automatically recorded data on milkability and temperament can be valuable sources of information for routine genetic evaluations and that milking efficiency in AMS can be genetically improved.

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Section: Introductionmentioning

confidence: 81%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic analyses of novel temperament and milkability traits in Norwegian Red cattle based on data from automatic milking systems

Wethal

Heringstad

2019

Journal of Dairy Science

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“…This study showed that h 2 was larger for CT compared with log_nApT; however, the genetic correlation between FAT and log_nApT was slightly larger than the correlation between FAT and CT. In 3 AMS studies, the h 2 for milking temperament was estimated to be in the range from 0.05 to 0.31 using data from DeLaval AMS (Bakke, 2014;Rinell et al, 2014;Carlström et al, 2016). Rinell et al (2014) estimated h 2 for proportion of attachment failures (0.31) in multiparous Holstein cows.…”

Section: Milking Temperamentmentioning

confidence: 99%

“…In the Nordic Cattle Genetic Evaluation, a h 2 of 0.13 is used when estimating breeding values for the temperament trait in Danish Holstein (SEGES Cattle, 2015-2016. However, this trait is assessed by farmers and is a subjective assessment of the individual cow's behavior at milking and handling.…”

Section: Introductionmentioning

confidence: 99%

Genetic parameters for handling and milking temperament in Danish first-parity Holstein cows

Stephansen

Fogh

Norberg

2018

Journal of Dairy Science

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The human-animal relationship in dairy cattle is reflected in the trait "temperament" in breeding programs and is mainly based on observations by farmers. However, farmers' knowledge of an individual cow's temperament decreases with an increased herd size, and this has been the case in many countries during the last decades. The aim of this study was to investigate if temperament recorded by classifiers and automatic milking systems is heritable, and estimate the genetic relationship with farmer-assessed temperament. Farmer-assessed temperament is defined as the overall assessment of the individual cows' temperament at milking and handling. Data on handling temperament were recorded by Danish classifiers from October 2016 to April 2017 on a 1 to 9 scale specially designed for this purpose. Data from automatic milking systems were recorded from January 2010 until April 2017, where connection time and number of attachments per teat were classified as milking temperament traits. Estimated heritabilities were relatively low for handling temperament (0.13) and farmer-assessed temperament (0.10). For milking temperament traits, connection time showed higher heritability than number of attachments per teat (0.36 and 0.26, respectively). The genetic correlation between farmer-assessed temperament and handling temperament was highly favorable (0.84). The genetic correlations between handling temperament and the 2 milking temperament traits, connection time and number of attachments per teat, were low (-0.02 and -0.10, respectively). Moderate genetic correlations were estimated between farmer-assessed temperament and connection time (-0.29) and between farmer-assessed temperament and number of attachments per teat (-0.37). The genetic correlations and heritabilities suggest a basis for further investigations of the possibility of including handling or milking temperament traits (or both) in the breeding program for temperament in dairy cattle.

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A computer algorithm for scoring cow teats based on udder images

Chuah,

Nordbø,

2024

New Zealand Journal of Agricultural Research

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Genetic associations of teat cup attachment failures, incomplete milkings, and handling time in automatic milking systems with milkability, temperament, and udder conformation

Cited by 15 publications

References 13 publications

Genetic analyses of novel temperament and milkability traits in Norwegian Red cattle based on data from automatic milking systems

Genetic analyses of novel temperament and milkability traits in Norwegian Red cattle based on data from automatic milking systems

Genetic parameters for handling and milking temperament in Danish first-parity Holstein cows

A computer algorithm for scoring cow teats based on udder images

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