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DSD 3.5 | Modeling biometrics benchmarks for a successful transition cow management

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Manage episode 328548288 series 2913541
Content provided by reaganbluel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by reaganbluel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

51 episodes

Artwork
iconShare
 
Manage episode 328548288 series 2913541
Content provided by reaganbluel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by reaganbluel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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

  continue reading

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