Literature DB >> 21787918

Analysis of the economically optimal voluntary waiting period for first insemination.

C Inchaisri1, R Jorritsma, P L A M Vos, G C van der Weijden, H Hogeveen.   

Abstract

The voluntary waiting period (VWP) is defined as the time between parturition and the time at which the cow is first eligible for insemination. Determining the optimal VWP from field data is difficult and unlikely to happen. Therefore, a Monte-Carlo dynamic-stochastic simulation model was created to calculate the economic effects of different VWP. The model is dynamic and uses time steps of 1 wk to simulate the reproductive cycle (ovulation, estrous detection, and conception), the occurrence of postpartum disorders, and the lactation curve. Inputs of the model were chosen to reflect the situation of Dutch dairy cows. In the model, we initially created a cow of a randomly selected breed, parity, month of calving, calf status of last calving, and expected 305-d milk yield. The randomly varied variables were based upon relevant distributions and adjusted for cow statuses. The lactation curve was modeled by Wood's function. The economic input values in the analysis included: cost of milk production (€0.07 to €0.20 per kg), calf price (€35 to €150 per calf), AI cost (€7 to €24 per AI), calving management cost (€137 to €167 per calving), and culling cost, expressed as the retention pay-off (€118 to €1,117). A partial budget approach was used to calculate the economic effect of varying the VWP from 7 to 15 wk postpartum, using a VWP of 6 wk as reference. Per iteration, the VWP with either the lowest economic loss or the maximum profit was determined as the optimal VWP. The optimal VWP of most cows (90%) was less than 10 wk. On average, every VWP longer than 6 wk gave economic losses. Longer VWP were in particular optimal for the first parity of breeds other than Holstein-Friesian, cows calving in winter with low milk production, high milk persistency, delayed peak milk yield time, a delayed time of first ovulation, or occurrence of a postpartum disorder, and while costs of milk production are low and costs for AI are high.
Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 21787918     DOI: 10.3168/jds.2010-3790

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

Review 1.  Go with the flow-biology and genetics of the lactation cycle.

Authors:  Eva M Strucken; Yan C S M Laurenson; Gudrun A Brockmann
Journal:  Front Genet       Date:  2015-03-26       Impact factor: 4.599

2.  Productive and reproductive performances of dairy cattle herds in Treviso province, Italy (2009-2012): an assessment of the potential impact of Schmallenberg virus epidemic.

Authors:  Marica Toson; Lapo Mughini-Gras; Katia Capello; Laura Gagliazzo; Laura Bortolotti; Matteo Mazzucato; Stefano Marangon; Lebana Bonfanti
Journal:  BMC Vet Res       Date:  2015-08-11       Impact factor: 2.741

3.  Prediction of random-regression coefficient for daily milk yield after 305 days in milk by using the regression-coefficient estimates from the first 305 days.

Authors:  Takeshi Yamazaki; Hisato Takeda; Koichi Hagiya; Satoshi Yamaguchi; Osamu Sasaki
Journal:  Asian-Australas J Anim Sci       Date:  2018-03-13       Impact factor: 2.509

4.  Improved reproductive performance achieved in tropical dairy cows by dietary beta-carotene supplementation.

Authors:  Soparak Khemarach; Saowaluck Yammuen-Art; Veerasak Punyapornwithaya; Sutichai Nithithanasilp; Narongrit Jaipolsaen; Siwat Sangsritavong
Journal:  Sci Rep       Date:  2021-11-30       Impact factor: 4.379

5.  Extending lactation length: consequences for cow, calf, and farmer.

Authors:  Ariette T M van Knegsel; Eline E A Burgers; Junnan Ma; Roselinde M A Goselink; Akke Kok
Journal:  J Anim Sci       Date:  2022-10-01       Impact factor: 3.338

  5 in total

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