Mathematical approaches to detect low concentrations in progesterone profiles. (18th November 2013)
- Record Type:
- Journal Article
- Title:
- Mathematical approaches to detect low concentrations in progesterone profiles. (18th November 2013)
- Main Title:
- Mathematical approaches to detect low concentrations in progesterone profiles
- Authors:
- von Leesen, R.
Tetens, J.
Junge, W.
Thaller, G. - Abstract:
- Abstract : There is a general need for higher objectivity and accuracy in describing the physiological fertility performance of dairy cows. To develop the alternative meaningful starting points for the selection of genetically superior dairy cows, this study focused on the detection of low progesterone concentrations, which are indicative of estrus events. Three mathematical approaches were used: one based on the exponentially weighted moving average control chart, and two threshold methods, which were developed in-house. Data were collected from one data set that included 97 insemination data of first-lactating Holstein dairy cows, and a second set that included 160 inseminations of primiparous and multiparous Holstein dairy cows. On the basis of these 2 data sets, and using a threshold of 1.2 ng progesterone/ml skimmed milk, the sensitivity of the 3 models was high and ranged between 100% and 93.13%, with an error rate between 4% and 22.17%. The specificity varied between 97.92% and 99.93%. The average concentration levels of true-positive–detected progesterone measures were low and ranged between 0.18 and 0.28 ng progesterone/ml skimmed milk (first data set) and 0.21 to 0.26 ng progesterone/ml skimmed milk (second data set). False-positive–detected low progesterone concentrations during estrus events were closely related to progesterone values around the 1.2 ng progesterone/ml skimmed milk threshold and the detecting rules of the control chart. Thus, we suggest that aAbstract : There is a general need for higher objectivity and accuracy in describing the physiological fertility performance of dairy cows. To develop the alternative meaningful starting points for the selection of genetically superior dairy cows, this study focused on the detection of low progesterone concentrations, which are indicative of estrus events. Three mathematical approaches were used: one based on the exponentially weighted moving average control chart, and two threshold methods, which were developed in-house. Data were collected from one data set that included 97 insemination data of first-lactating Holstein dairy cows, and a second set that included 160 inseminations of primiparous and multiparous Holstein dairy cows. On the basis of these 2 data sets, and using a threshold of 1.2 ng progesterone/ml skimmed milk, the sensitivity of the 3 models was high and ranged between 100% and 93.13%, with an error rate between 4% and 22.17%. The specificity varied between 97.92% and 99.93%. The average concentration levels of true-positive–detected progesterone measures were low and ranged between 0.18 and 0.28 ng progesterone/ml skimmed milk (first data set) and 0.21 to 0.26 ng progesterone/ml skimmed milk (second data set). False-positive–detected low progesterone concentrations during estrus events were closely related to progesterone values around the 1.2 ng progesterone/ml skimmed milk threshold and the detecting rules of the control chart. Thus, we suggest that a threshold of 0.8 ng progesterone/ml skimmed milk is indicative for luteal activity in defatted foremilk. By means of the three methods used, the detection of low progesterone concentrations was possible and it can be assumed that this is a good starting point for further studies (such as interval calculation) in this area. … (more)
- Is Part Of:
- Animal. Volume 7: Number 12(2014)
- Journal:
- Animal
- Issue:
- Volume 7: Number 12(2014)
- Issue Display:
- Volume 7, Issue 12 (2013)
- Year:
- 2013
- Volume:
- 7
- Issue:
- 12
- Issue Sort Value:
- 2013-0007-0012-0000
- Page Start:
- 2008
- Page End:
- 2015
- Publication Date:
- 2013-11-18
- Subjects:
- approaches, -- analysis, -- progesterone, -- time series, -- cattle
Animal breeding -- Periodicals
Animal genetics -- Periodicals
Animal nutrition -- Periodicals
Animal physiology -- Periodicals
Environmental sciences -- Periodicals
636.005 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=ANM ↗
https://www.sciencedirect.com/journal/animal ↗
http://www.sciencedirect.com/ ↗
https://www.journals.elsevier.com/animal/ ↗ - DOI:
- 10.1017/S1751731113001754 ↗
- Languages:
- English
- ISSNs:
- 1751-7311
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital Store - Ingest File:
- 4418.xml