Dairy Science Digest

reaganbluel

Dairy Science digest is a new podcast developed to share current research published in the Journal of Dairy science. Designed never to exceed 20 minutes, it provides ONLY the "need to know" info. keywords: dairy, science, extension, cattle, MIZZOU, MU, Dairy Team #2xAg2030 read less

DSD 3.12 | One minute delay is costing you
Dec 16 2022
DSD 3.12 | One minute delay is costing you
On-farm data mining from your parlor equipment could help you identify bimodality in your herd. Bimodality refers to delayed milk ejection during the early phase of the milking. Previous research and repeated work by M. Wieland’s team has shown that a delay in milk let down can result in a significant loss of milk. Equipped with this information our guest this month, Dr. Matthias Wieland, would take a sophisticated tool on farms to test parlor efficiency and effectiveness in milkout. One trip he wondered – Could we reliability use parlor equipment to make similar assessments? This month we learn the answer to that question highlighted in the featured article, “Comparison of 2 types of milk flow meters for detecting bimodality in dairy cows”. Listen in to learn more about the negative impacts of bimodality in your herd, what parlor equipment can do to help and ultimately how to motivate the parlor staff to break the cycle of bimodality. A little attention on this low hanging fruit could make a big impact in your bottomline - your software may be collecting all the information needed to manage through bimodality.   For more information visit: Quality milk production services (QMPS) https://www.vet.cornell.edu/animal-health-diagnostic-center/programs/quality-milk-production Other Recently published, relevant articles from Wieland Risk factors for delayed milk ejection in Holstein dairy cows milked 3 times per day, Wieland et al. Journal of Dairy Science June 27, 2022 The effect of 2 different premilking stimulation regimens, with and without manual forestripping, on teat tissue condition and milking performance in Holstein dairy cows milked 3 times daily J. Dairy Sci. 2020   #2xAg2030; #journalofdairyscience; @jdairyscience; #openaccess; #MODAIRY
DSD 3.11 | Ultrasound assessment of pneumonia
Nov 15 2022
DSD 3.11 | Ultrasound assessment of pneumonia
Bovine respiratory disease (BRD) is a costly concern primarily during the calf phase production. This is especially relevant to veal production, when young and venerable calves are commingled from many farms. However, BVD breakouts can also occur on calf ranches raising dairy x beef calves or even individual dairy farms. This month Dr. Stan Jourquin joins us from Ghent University in Belgium to discuss his article is titled, “Dynamics of subclinical pneumonia in male dairy calves in relation to antimicrobial therapy and production outcomes”. Listen in to learn how pneumonia might be lurking in your herd without your knowledge. Consider ways to use ultrasound as a tool to quickly and reliability assess animals upon receipt to allow for differential management. Overall losses, from chronically ill animals, could be decreased by warding off the spread of infection and promoting early cure. Once lungs are severely consolidated, these animals are 4.2x more likely to become chronic and experience -0.25 lbs average daily gain over this phase of production. For more information visit: Open access Journal article: https://www.journalofdairyscience.org/article/S0022-0302(22)00644-0/fulltext  UC Davis BRD Clinical symptom scoring system: https://www.vmtrc.ucdavis.edu/sites/g/files/dgvnsk5141/files/local_resources/pdfs/BRD_ANR_Brochure_Nov%202016%20FINAL.PDF     #2xAg2030; #journalofdairyscience; @jdairyscience; #openaccess; #MODAIRY
DSD 3.5 | Modeling biometrics benchmarks for a successful transition cow management
May 16 2022
DSD 3.5 | Modeling biometrics benchmarks for a successful transition cow management
The transition period has been investigated for nearly 4 decades. Over this time, much has changed in dairy industry including herd management and genetics. Dr. Kerwin, from Cornell, joins us today to discuss the robust observational project documenting the management of 72 successful herds in NY and VT. The project involved tracking the same cohort of cows on each farm for 11 weeks to capture the far off, close up, fresh and peak lactation cow over time. Part 1 of the paper focuses on the management of the herds within the existing farm infrastructure. These topics including grouping dynamics, fresh cow checks and stocking density and how these parameters impact biomarkers (NEFA, βHB and haptoglobin). Beginning at 20:44, she discusses how the biomarkers effect the health, production and reproductive success of the herd. Their model identified an association between the biomarkers and production, negative health disorders, and reproduction (25:13). Don't miss this foundational herd biomarker benchmarking paper for understanding your transition pen goals - Listen in now! **apologies for the sound quality due to poor internet connectivity** Next episode will be better! HERD ALARM LEVELS: (multi= mature cows, primi = first calf heifers, Pre=Prepartum, post=postpartum) PRE NEFA: when >30% multip cows sampled are >0.17 mmol/L = 6% increase disease               21d PR:    >15% multi – 6% decrease 21d PR                                > 40% primi – 3.9% decrease 21d PR POST NEFA: >0.59mmol/L                         > 15% Multi: 5.8%               > 15% Primi: 4.2% increase in disorder Post NEFA 305ME Milk –               Multi: >30% = >0.48 mmol/L decreased milk 1735lbs               Primi – Not Significant   POST BHB: >15% @ >1.2mmol/L               8.5% increase disorder               305ME Milk: >0.9mmol/L                              Multi: >10% +229kg                              Primi: >20%  +332kg               21d PR: >15%, >0.9 mmol/L                              3.2% decrease               Prob of Preg - 5.2% decrease               PRFS – 7.0 % decrease POST HAPLOGOBIN: >20%, >0.45g/L = 5.3% increase in disorder incidence Two companion articles were featured. These are found at: Part 1: https://www.journalofdairyscience.org/article/S0022-0302(22)00243-0/pdf Part 2: https://www.journalofdairyscience.org/article/S0022-0302(22)00244-2/pdf   #2xAg2030; #journalofdairyscience; @jdairyscience; #openaccess; #MODAIRY