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Towards objective measurement of reproductive performance of traditionally managed goat flocks in the drylands of Ethiopia
Reproductive performance is a key determinant for the efficiency of goat production. Regular monitoring of reproductive efficiency is essential to assess management and to avoid financial losses due to poor performance. To allow more objective measurement and comparisons over time, we propose a nove...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870603/ https://www.ncbi.nlm.nih.gov/pubmed/33559100 http://dx.doi.org/10.1007/s11250-021-02556-y |
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author | Alemayehu, Gezahegn Mamo, Gezahegne Alemu, Biruk Desta, Hiwot Wieland, Barbara |
author_facet | Alemayehu, Gezahegn Mamo, Gezahegne Alemu, Biruk Desta, Hiwot Wieland, Barbara |
author_sort | Alemayehu, Gezahegn |
collection | PubMed |
description | Reproductive performance is a key determinant for the efficiency of goat production. Regular monitoring of reproductive efficiency is essential to assess management and to avoid financial losses due to poor performance. To allow more objective measurement and comparisons over time, we propose a novel quantitative approach for defining annual reproductive performance by combining common performance indicators into a goat flock index. Commonly used reproductive performance measures were collected from 242 goat flocks in four districts in dryland of Ethiopia between July 2018 and February 2019. Principal component analysis (PCA) was performed to identify biologically meaningful latent components that explain annual reproductive output (ARO) and annual reproductive wastage (ARW). Together with the remaining annual reproductive performance measures, the ARO and ARW components were included in a PCA to derive an algorithm for a goat annual reproductive performance index (G-ARPI). One component representing variation in kidding interval, PC(ARO)1 and PC(ARW)1 was extracted and normalized to a 10-scale value. The flocks were classified into good performing (15.63%) with index > 8.5, moderately performing (48.21%) with index values ranging from 6.5 to 8.5 and poor performing (36.16%) with index < 6.5. Good performing flocks have higher scores for reproductive output measures, lower scores for reproductive wastage and lower kidding interval. The proposed G-ARPI can be used as an objective tool to compare reproductive performance between management systems, evaluate the costs of poor reproductive management and will be useful for economic models that aim to identify the most cost-efficient intervention option and monitor the impact of interventions. We present here the index for goat production in dryland systems in Ethiopia; the approach can easily be adapted to other production systems elsewhere. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11250-021-02556-y. |
format | Online Article Text |
id | pubmed-7870603 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-78706032021-02-16 Towards objective measurement of reproductive performance of traditionally managed goat flocks in the drylands of Ethiopia Alemayehu, Gezahegn Mamo, Gezahegne Alemu, Biruk Desta, Hiwot Wieland, Barbara Trop Anim Health Prod Regular Articles Reproductive performance is a key determinant for the efficiency of goat production. Regular monitoring of reproductive efficiency is essential to assess management and to avoid financial losses due to poor performance. To allow more objective measurement and comparisons over time, we propose a novel quantitative approach for defining annual reproductive performance by combining common performance indicators into a goat flock index. Commonly used reproductive performance measures were collected from 242 goat flocks in four districts in dryland of Ethiopia between July 2018 and February 2019. Principal component analysis (PCA) was performed to identify biologically meaningful latent components that explain annual reproductive output (ARO) and annual reproductive wastage (ARW). Together with the remaining annual reproductive performance measures, the ARO and ARW components were included in a PCA to derive an algorithm for a goat annual reproductive performance index (G-ARPI). One component representing variation in kidding interval, PC(ARO)1 and PC(ARW)1 was extracted and normalized to a 10-scale value. The flocks were classified into good performing (15.63%) with index > 8.5, moderately performing (48.21%) with index values ranging from 6.5 to 8.5 and poor performing (36.16%) with index < 6.5. Good performing flocks have higher scores for reproductive output measures, lower scores for reproductive wastage and lower kidding interval. The proposed G-ARPI can be used as an objective tool to compare reproductive performance between management systems, evaluate the costs of poor reproductive management and will be useful for economic models that aim to identify the most cost-efficient intervention option and monitor the impact of interventions. We present here the index for goat production in dryland systems in Ethiopia; the approach can easily be adapted to other production systems elsewhere. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11250-021-02556-y. Springer Netherlands 2021-02-08 2021 /pmc/articles/PMC7870603/ /pubmed/33559100 http://dx.doi.org/10.1007/s11250-021-02556-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Regular Articles Alemayehu, Gezahegn Mamo, Gezahegne Alemu, Biruk Desta, Hiwot Wieland, Barbara Towards objective measurement of reproductive performance of traditionally managed goat flocks in the drylands of Ethiopia |
title | Towards objective measurement of reproductive performance of traditionally managed goat flocks in the drylands of Ethiopia |
title_full | Towards objective measurement of reproductive performance of traditionally managed goat flocks in the drylands of Ethiopia |
title_fullStr | Towards objective measurement of reproductive performance of traditionally managed goat flocks in the drylands of Ethiopia |
title_full_unstemmed | Towards objective measurement of reproductive performance of traditionally managed goat flocks in the drylands of Ethiopia |
title_short | Towards objective measurement of reproductive performance of traditionally managed goat flocks in the drylands of Ethiopia |
title_sort | towards objective measurement of reproductive performance of traditionally managed goat flocks in the drylands of ethiopia |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870603/ https://www.ncbi.nlm.nih.gov/pubmed/33559100 http://dx.doi.org/10.1007/s11250-021-02556-y |
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