Ratings of equine conformation – new insights provided by shape analysis  using the example of Lipizzan stallions

Druml, Thomas; Dobretsberger, Maximilian; Brem, Gottfried

doi:10.5194/aab-59-309-2016

Articles | Volume 59, issue 2

https://doi.org/10.5194/aab-59-309-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/aab-59-309-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 59, issue 2

Original study

|

28 Jun 2016

Original study |

| 28 Jun 2016

Ratings of equine conformation – new insights provided by shape analysis using the example of Lipizzan stallions

Thomas Druml, Maximilian Dobretsberger, and Gottfried Brem

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Total article views: 2,727 (including HTML, PDF, and XML)

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PDF: 1,281
XML: 140
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BibTeX: 177
EndNote: 242

Views and downloads (calculated since 28 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	10	4	0	14
Jul 2016	28	5	3	36
Aug 2016	19	7	2	28
Sep 2016	11	6	1	18
Oct 2016	13	9	1	23
Nov 2016	9	4	1	14
Dec 2016	4	9	0	13
Jan 2017	10	12	0	22
Feb 2017	4	18	2	24
Mar 2017	8	18	1	27
Apr 2017	12	16	0	28
May 2017	10	16	0	26
Jun 2017	7	5	0	12
Jul 2017	9	12	1	22
Aug 2017	13	22	1	36
Sep 2017	8	20	0	28
Oct 2017	11	29	1	41
Nov 2017	13	25	2	40
Dec 2017	9	29	1	39
Jan 2018	11	17	0	28
Feb 2018	14	23	1	38
Mar 2018	14	26	2	42
Apr 2018	11	15	1	27
May 2018	9	22	0	31
Jun 2018	10	20	3	33
Jul 2018	9	22	1	32
Aug 2018	11	21	0	32
Sep 2018	9	18	1	28
Oct 2018	15	34	6	55
Nov 2018	21	35	0	56
Dec 2018	13	19	0	32
Jan 2019	6	25	0	31
Feb 2019	4	9	0	13
Mar 2019	4	10	1	15
Apr 2019	3	24	1	28
May 2019	4	15	1	20
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Jul 2019	8	20	2	30
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Nov 2019	4	16	0	20
Dec 2019	7	14	0	21
Jan 2020	5	3	2	10
Feb 2020	7	6	0	13
Mar 2020	6	1	1	8
Apr 2020	4	12	1	17
May 2020	6	5	0	11
Jun 2020	12	6	0	18
Jul 2020	43	24	26	93
Aug 2020	5	4	1	10
Sep 2020	8	7	1	16
Oct 2020	5	5	0	10
Nov 2020	11	5	0	16
Dec 2020	11	7	0	18
Jan 2021	16	11	0	27
Feb 2021	17	13	2	32
Mar 2021	12	14	0	26
Apr 2021	13	7	0	20
May 2021	6	7	0	13
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Jul 2021	8	5	0	13
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Oct 2021	4	17	0	21
Nov 2021	6	21	2	29
Dec 2021	14	6	0	20
Jan 2022	7	12	2	21
Feb 2022	7	9	3	19
Mar 2022	16	20	3	39
Apr 2022	5	2	0	7
May 2022	5	4	1	10
Jun 2022	7	8	2	17
Jul 2022	2	1	0	3
Aug 2022	9	4	1	14
Sep 2022	5	3	3	11
Oct 2022	13	7	0	20
Nov 2022	21	9	1	31
Dec 2022	8	8	1	17
Jan 2023	9	7	1	17
Feb 2023	6	8	1	15
Mar 2023	11	6	1	18
Apr 2023	6	6	2	14
May 2023	4	7	1	12
Jun 2023	3	3	0	6
Jul 2023	8	4	0	12
Aug 2023	3	5	0	8
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Oct 2023	11	5	1	17
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Dec 2023	6	6	1	13
Jan 2024	6	3	0	9
Feb 2024	4	6	1	11
Mar 2024	7	11	0	18
Apr 2024	11	2	4	17
May 2024	15	2	1	18
Jun 2024	40	3	5	48
Jul 2024	14	1	3	18
Aug 2024	47	1	4	52
Sep 2024	19	6	5	30
Oct 2024	11	5	2	18
Nov 2024	5	7	0	12
Dec 2024	7	1	3	11
Jan 2025	13	5	0	18
Feb 2025	19	8	0	27
Mar 2025	19	14	1	34
Apr 2025	14	4	1	19
May 2025	19	7	2	28
Jun 2025	61	8	0	69
Jul 2025	24	17	0	41
Aug 2025	25	13	0	38
Sep 2025	23	12	1	36
Oct 2025	25	11	2	38
Nov 2025	26	36	3	65

Cumulative views and downloads (calculated since 28 Jun 2016)

Month	HTML	PDF	XML	Total
Jun 2016	10	4	0	14
Jul 2016	28	5	3	36
Aug 2016	19	7	2	28
Sep 2016	11	6	1	18
Oct 2016	13	9	1	23
Nov 2016	9	4	1	14
Dec 2016	4	9	0	13
Jan 2017	10	12	0	22
Feb 2017	4	18	2	24
Mar 2017	8	18	1	27
Apr 2017	12	16	0	28
May 2017	10	16	0	26
Jun 2017	7	5	0	12
Jul 2017	9	12	1	22
Aug 2017	13	22	1	36
Sep 2017	8	20	0	28
Oct 2017	11	29	1	41
Nov 2017	13	25	2	40
Dec 2017	9	29	1	39
Jan 2018	11	17	0	28
Feb 2018	14	23	1	38
Mar 2018	14	26	2	42
Apr 2018	11	15	1	27
May 2018	9	22	0	31
Jun 2018	10	20	3	33
Jul 2018	9	22	1	32
Aug 2018	11	21	0	32
Sep 2018	9	18	1	28
Oct 2018	15	34	6	55
Nov 2018	21	35	0	56
Dec 2018	13	19	0	32
Jan 2019	6	25	0	31
Feb 2019	4	9	0	13
Mar 2019	4	10	1	15
Apr 2019	3	24	1	28
May 2019	4	15	1	20
Jun 2019	5	17	0	22
Jul 2019	8	20	2	30
Aug 2019	5	20	0	25
Sep 2019	5	20	0	25
Oct 2019	4	11	4	19
Nov 2019	4	16	0	20
Dec 2019	7	14	0	21
Jan 2020	5	3	2	10
Feb 2020	7	6	0	13
Mar 2020	6	1	1	8
Apr 2020	4	12	1	17
May 2020	6	5	0	11
Jun 2020	12	6	0	18
Jul 2020	43	24	26	93
Aug 2020	5	4	1	10
Sep 2020	8	7	1	16
Oct 2020	5	5	0	10
Nov 2020	11	5	0	16
Dec 2020	11	7	0	18
Jan 2021	16	11	0	27
Feb 2021	17	13	2	32
Mar 2021	12	14	0	26
Apr 2021	13	7	0	20
May 2021	6	7	0	13
Jun 2021	15	13	0	28
Jul 2021	8	5	0	13
Aug 2021	7	7	0	14
Sep 2021	10	7	0	17
Oct 2021	4	17	0	21
Nov 2021	6	21	2	29
Dec 2021	14	6	0	20
Jan 2022	7	12	2	21
Feb 2022	7	9	3	19
Mar 2022	16	20	3	39
Apr 2022	5	2	0	7
May 2022	5	4	1	10
Jun 2022	7	8	2	17
Jul 2022	2	1	0	3
Aug 2022	9	4	1	14
Sep 2022	5	3	3	11
Oct 2022	13	7	0	20
Nov 2022	21	9	1	31
Dec 2022	8	8	1	17
Jan 2023	9	7	1	17
Feb 2023	6	8	1	15
Mar 2023	11	6	1	18
Apr 2023	6	6	2	14
May 2023	4	7	1	12
Jun 2023	3	3	0	6
Jul 2023	8	4	0	12
Aug 2023	3	5	0	8
Sep 2023	6	1	0	7
Oct 2023	11	5	1	17
Nov 2023	9	1	0	10
Dec 2023	6	6	1	13
Jan 2024	6	3	0	9
Feb 2024	4	6	1	11
Mar 2024	7	11	0	18
Apr 2024	11	2	4	17
May 2024	15	2	1	18
Jun 2024	40	3	5	48
Jul 2024	14	1	3	18
Aug 2024	47	1	4	52
Sep 2024	19	6	5	30
Oct 2024	11	5	2	18
Nov 2024	5	7	0	12
Dec 2024	7	1	3	11
Jan 2025	13	5	0	18
Feb 2025	19	8	0	27
Mar 2025	19	14	1	34
Apr 2025	14	4	1	19
May 2025	19	7	2	28
Jun 2025	61	8	0	69
Jul 2025	24	17	0	41
Aug 2025	25	13	0	38
Sep 2025	23	12	1	36
Oct 2025	25	11	2	38
Nov 2025	26	36	3	65

Latest update: 26 Nov 2025

Short summary

We analyzed the relationship between visual ratings of equine conformation and the underlying morphological horse shapes. The rater agreement of eight professional classifiers ranged from 0.30 to 0.55 (correlation). We present a methodological approach, where we associate the individual scores with the horse shapes derived from images, So we can test if the ratings correspond with the observed shape variation. In 58 % of the ratings no association between scores and the phenotypes was found.