Assessment of the multi-criteria evaluation system of the Welfare Quality protocol for growing pigs

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Assessment of the multi-criteria evaluation system of the Welfare Quality protocol for growing pigs. / Czycholl, I.; Kniese, C.; Schrader, L.; Krieter, J.

In: Animal, Vol. 11, No. 9, 09.2017, p. 1573-1580.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Czycholl, I, Kniese, C, Schrader, L & Krieter, J 2017, 'Assessment of the multi-criteria evaluation system of the Welfare Quality protocol for growing pigs', Animal, vol. 11, no. 9, pp. 1573-1580. https://doi.org/10.1017/S1751731117000210

APA

Czycholl, I., Kniese, C., Schrader, L., & Krieter, J. (2017). Assessment of the multi-criteria evaluation system of the Welfare Quality protocol for growing pigs. Animal, 11(9), 1573-1580. https://doi.org/10.1017/S1751731117000210

Vancouver

Czycholl I, Kniese C, Schrader L, Krieter J. Assessment of the multi-criteria evaluation system of the Welfare Quality protocol for growing pigs. Animal. 2017 Sep;11(9):1573-1580. https://doi.org/10.1017/S1751731117000210

Author

Czycholl, I. ; Kniese, C. ; Schrader, L. ; Krieter, J. / Assessment of the multi-criteria evaluation system of the Welfare Quality protocol for growing pigs. In: Animal. 2017 ; Vol. 11, No. 9. pp. 1573-1580.

Bibtex

@article{507b4b8c1548442d92bdac6583fc9d50,
title = "Assessment of the multi-criteria evaluation system of the Welfare Quality protocol for growing pigs",
abstract = "Animal welfare has become an important subject of public and political debate, leading to the necessity of an objective evaluation system for on-farm use. As welfare is a multi-dimensional concept, it makes sense to use a multi-criteria aggregation system to obtain an overall welfare score. Such an aggregation system is provided by the Welfare Quality((R)) Network. The present paper focusses on the assessment of the multi-criteria evaluation model included in the Welfare Quality((R)) protocol for growing pigs in order to aggregate the animal-based indicators first to criteria, then to principles and finally to an overall welfare score. Specifically, the importance of the indicators on the overall assessment of growing pig farms is analysed in a given population which consisted of a total of 198 protocol assessments carried out on a sample of 24 farms in Germany. By means of partial least squares modelling, the influence of measures in the calculation procedure is estimated by calculation and interpretation of Variable Importance for Projection (VIP) scores. Variable Importance for Projection scores revealed some meaningful, unexpected influences as the multi-criteria evaluation model of Welfare Quality((R)) aimed at avoiding interferences and double-counting. Some of these influences led to the assumption that some measures might have potential as iceberg indicators, whereas others showed lesser importance. Thus, feasibility can be gained by the deletion and special weighting of indicators according to their importance. Altogether, the study is an essential contribution to the further development of the Welfare Quality((R)) protocols as well as the application of multi-criteria decision systems in the field of animal welfare science in general.",
keywords = "multi-criteria evaluation, Welfare Quality((R)), animal welfare assessment, pigs, partial least squares modelling, TEST-RETEST RELIABILITY, ANIMAL-WELFARE, SPACE ALLOWANCE, BEHAVIOR, KEPT",
author = "I. Czycholl and C. Kniese and L. Schrader and J. Krieter",
year = "2017",
month = sep,
doi = "10.1017/S1751731117000210",
language = "English",
volume = "11",
pages = "1573--1580",
journal = "Animal",
issn = "1751-7311",
publisher = "Cambridge University Press",
number = "9",

}

RIS

TY - JOUR

T1 - Assessment of the multi-criteria evaluation system of the Welfare Quality protocol for growing pigs

AU - Czycholl, I.

AU - Kniese, C.

AU - Schrader, L.

AU - Krieter, J.

PY - 2017/9

Y1 - 2017/9

N2 - Animal welfare has become an important subject of public and political debate, leading to the necessity of an objective evaluation system for on-farm use. As welfare is a multi-dimensional concept, it makes sense to use a multi-criteria aggregation system to obtain an overall welfare score. Such an aggregation system is provided by the Welfare Quality((R)) Network. The present paper focusses on the assessment of the multi-criteria evaluation model included in the Welfare Quality((R)) protocol for growing pigs in order to aggregate the animal-based indicators first to criteria, then to principles and finally to an overall welfare score. Specifically, the importance of the indicators on the overall assessment of growing pig farms is analysed in a given population which consisted of a total of 198 protocol assessments carried out on a sample of 24 farms in Germany. By means of partial least squares modelling, the influence of measures in the calculation procedure is estimated by calculation and interpretation of Variable Importance for Projection (VIP) scores. Variable Importance for Projection scores revealed some meaningful, unexpected influences as the multi-criteria evaluation model of Welfare Quality((R)) aimed at avoiding interferences and double-counting. Some of these influences led to the assumption that some measures might have potential as iceberg indicators, whereas others showed lesser importance. Thus, feasibility can be gained by the deletion and special weighting of indicators according to their importance. Altogether, the study is an essential contribution to the further development of the Welfare Quality((R)) protocols as well as the application of multi-criteria decision systems in the field of animal welfare science in general.

AB - Animal welfare has become an important subject of public and political debate, leading to the necessity of an objective evaluation system for on-farm use. As welfare is a multi-dimensional concept, it makes sense to use a multi-criteria aggregation system to obtain an overall welfare score. Such an aggregation system is provided by the Welfare Quality((R)) Network. The present paper focusses on the assessment of the multi-criteria evaluation model included in the Welfare Quality((R)) protocol for growing pigs in order to aggregate the animal-based indicators first to criteria, then to principles and finally to an overall welfare score. Specifically, the importance of the indicators on the overall assessment of growing pig farms is analysed in a given population which consisted of a total of 198 protocol assessments carried out on a sample of 24 farms in Germany. By means of partial least squares modelling, the influence of measures in the calculation procedure is estimated by calculation and interpretation of Variable Importance for Projection (VIP) scores. Variable Importance for Projection scores revealed some meaningful, unexpected influences as the multi-criteria evaluation model of Welfare Quality((R)) aimed at avoiding interferences and double-counting. Some of these influences led to the assumption that some measures might have potential as iceberg indicators, whereas others showed lesser importance. Thus, feasibility can be gained by the deletion and special weighting of indicators according to their importance. Altogether, the study is an essential contribution to the further development of the Welfare Quality((R)) protocols as well as the application of multi-criteria decision systems in the field of animal welfare science in general.

KW - multi-criteria evaluation

KW - Welfare Quality((R))

KW - animal welfare assessment

KW - pigs

KW - partial least squares modelling

KW - TEST-RETEST RELIABILITY

KW - ANIMAL-WELFARE

KW - SPACE ALLOWANCE

KW - BEHAVIOR

KW - KEPT

U2 - 10.1017/S1751731117000210

DO - 10.1017/S1751731117000210

M3 - Journal article

VL - 11

SP - 1573

EP - 1580

JO - Animal

JF - Animal

SN - 1751-7311

IS - 9

ER -

ID: 328017463