Using phenotypic distribution models to predict livestock performance
| العنوان: | Using phenotypic distribution models to predict livestock performance |
|---|---|
| المؤلفون: | Hans Komen, Setegn Worku Alemu, Tadelle Dessie, Maria Lozano-Jaramillo, John W M Bastiaansen |
| المصدر: | Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019) Scientific Reports BASE-Bielefeld Academic Search Engine Scientific Reports, 9(1) Scientific Reports 9 (2019) 1 |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | Male, 0301 basic medicine, Livestock, Animal breeding, Growth data, lcsh:Medicine, Distribution (economics), Breeding, Environment, Biology, Animal Breeding and Genomics, Article, 03 medical and health sciences, Statistics, parasitic diseases, Life Science, Animals, Production (economics), Fokkerij en Genomica, Gene–environment interaction, lcsh:Science, Productivity, Ecological modelling, Multidisciplinary, Geography, business.industry, Body Weight, lcsh:R, 0402 animal and dairy science, 04 agricultural and veterinary sciences, Models, Theoretical, 040201 dairy & animal science, Breed, Phenotype, 030104 developmental biology, WIAS, Female, lcsh:Q, Ethiopia, business, Chickens, Agroecology |
| الوصف: | Livestock production systems of the developing world use indigenous breeds that locally adapted to specific agro-ecologies. Introducing commercial breeds usually results in lower productivity than expected, as a result of unfavourable genotype by environment interaction. It is difficult to predict of how these commercial breeds will perform in different conditions encountered in e.g. sub-Saharan Africa. Here, we present a novel methodology to model performance, by using growth data from different chicken breeds that were tested in Ethiopia. The suitability of these commercial breeds was tested by predicting the response of body weight as a function of the environment across Ethiopia. Phenotype distribution models were built using machine learning algorithms to make predictions of weight in the local environmental conditions based on the productivity for the breed. Based on the predicted body weight, breeds were assigned as being most suitable in a given agro-ecology or region. We identified the most important environmental variables that explained the variation in body weight across agro-ecologies for each of the breeds. Our results highlight the importance of acknowledging the role of environment in predicting productivity in scavenging chicken production systems. The use of phenotype distribution models in livestock breeding is recommended to develop breeds that will better fit in their intended production environment. |
| وصف الملف: | application/octet-stream; application/pdf |
| اللغة: | English |
| تدمد: | 2045-2322 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15ea4fc2b76d8f648c1e1bfd38767ea8Test https://doi.org/10.1038/s41598-019-51910-6Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....15ea4fc2b76d8f648c1e1bfd38767ea8 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20452322 |
|---|