scholarly journals Genetic relationships of alternative somatic cell count traits with milk yield, composition and udder type traits in Italian Jersey cows

2019 ◽  
Vol 90 (7) ◽  
pp. 808-817 ◽  
Author(s):  
Tania Bobbo ◽  
Chiara Roveglia ◽  
Mauro Penasa ◽  
Giulio Visentin ◽  
Raffaella Finocchiaro ◽  
...  
2008 ◽  
Vol 52 (No. 12) ◽  
pp. 437-446 ◽  
Author(s):  
E. Němcová ◽  
M. Štípková ◽  
L. Zavadilová ◽  
J. Bouška ◽  
M. Vacek

Test-day records of somatic cell count (<i>SCC</i>), milk yield, fat and protein content and six linearly scored type traits (fore udder attachment, udder depth, central ligament, rear udder height, front teat placement, teat length) of 22 613 first lactation cows from 117 herds were included in this study. <i>SCC</i> was log-transformed into somatic cell score (<i>SCS</i>). Milk yield was standardized as follows: MILK = milk yield (fat content + protein content)/(3.8 + 3.2). For each analyzed type trait, cows were assigned to one of the three levels according to linear type score: level 1 (score 1 and 2); level 2 (score 5 and 6); level 3 (score 8 and 9). A linear model was used to estimate the effect of different type traits on MILK and <i>SCS</i>. The highest values of <i>SCS</i> were found for the first levels. The differences between the first and second level were on average 0.33, 0.54, 0.28, and 0.36 for fore udder attachment, udder depth, central ligament and rear udder height, respectively. The cows with deep udders, weak central ligaments and fore attachments and low rear udder height showed the highest <i>SCS</i> Low <i>SCS</i> appeared to be associated with an intermediate distance between the front teats and longer teats. The third level of udder depth (shallow udder) had low MILK. Rear udder height showed low MILK for the first level (low height) with the highest MILK values for the third level (high height). The average difference was 3.3 kg.


Animals ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 1291
Author(s):  
Ryan S. Pralle ◽  
Joel D. Amdall ◽  
Robert H. Fourdraine ◽  
Garrett R. Oetzel ◽  
Heather M. White

Prediction of hyperketonemia (HYK), a postpartum metabolic disorder in dairy cows, through use of cow and milk data has allowed for high-throughput detection and monitoring during monthly milk sampling. The objective of this study was to determine associations between predicted HYK (pHYK) and production parameters in a dataset generated from routine milk analysis samples. Data from 240,714 lactations across 335 farms were analyzed with multiple linear regression models to determine HYK status. Data on HYK or disease treatment was not solicited. Consistent with past research, pHYK cows had greater previous lactation dry period length, somatic cell count, and dystocia. Cows identified as pHYK had lower milk yield and protein percent but greater milk fat, specifically greater mixed and preformed fatty acids (FA), and greater somatic cell count (SCC). Differential somatic cell count was greater in second and fourth parity pHYK cows. Culling (60d), days open, and number of artificial inseminations were greater in pHYK cows. Hyperketonemia prevalence decreased linearly in herds with greater rolling herd average milk yield. This research confirms previously identified risk factors and negative outcomes associated with pHYK and highlights novel associations with differential SCC, mixed FA, and preformed FA across farm sizes and production levels.


2010 ◽  
Vol 5 (4) ◽  
pp. 253-259 ◽  
Author(s):  
H. Erdem ◽  
S. Atasever ◽  
E. Kul

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