An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock.
The contemporary concern about anthropogenic release of greenhouse gas (GHG) into the environment and the contribution of livestock to this phenomenon have sparked animal scientists’ interest in predicting methane (CH4) emissions by ruminants. Focusing on milk production, we address six basic nut...
| Main Authors: | , , |
|---|---|
| Format: | Artículo preliminar |
| Language: | Inglés |
| Published: |
CGIAR Research Program on Climate Change, Agriculture and Food Security
2014
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/56628 |
| _version_ | 1855529106025742336 |
|---|---|
| author | Tedeschi, L.O. Herrero, Mario Thornton, Philip K. |
| author_browse | Herrero, Mario Tedeschi, L.O. Thornton, Philip K. |
| author_facet | Tedeschi, L.O. Herrero, Mario Thornton, Philip K. |
| author_sort | Tedeschi, L.O. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The contemporary concern about anthropogenic release of greenhouse gas (GHG) into the
environment and the contribution of livestock to this phenomenon have sparked animal
scientists’ interest in predicting methane (CH4) emissions by ruminants. Focusing on milk
production, we address six basic nutrition models or feeding standards (mostly empirical
systems) and five complex nutrition models (mostly mechanistic systems), describe their key
characteristics, and highlight their similarities and differences. Four models were selected to
predict milk production in lactating dairy cows, and the adequacy of their predictions was
measured against the observed milk production from a database that was compiled from 37
published studies from six regions of the world, totalling 173 data points. We concluded that
not all models were suitable for predicting predict milk production and that simpler systems
might be more resilient to variations in studies and production conditions around the world.
Improving the predictability of milk production by mathematical nutrition models is a
prerequisite to further development of systems that can effectively and correctly estimate the
contribution of ruminants to GHG emissions and their true share of the global warming event |
| format | Artículo preliminar |
| id | CGSpace56628 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| publisherStr | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| record_format | dspace |
| spelling | CGSpace566282025-11-04T16:32:48Z An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock. Tedeschi, L.O. Herrero, Mario Thornton, Philip K. models training materials livestock data analysis climate change adaptation agriculture food security farming systems The contemporary concern about anthropogenic release of greenhouse gas (GHG) into the environment and the contribution of livestock to this phenomenon have sparked animal scientists’ interest in predicting methane (CH4) emissions by ruminants. Focusing on milk production, we address six basic nutrition models or feeding standards (mostly empirical systems) and five complex nutrition models (mostly mechanistic systems), describe their key characteristics, and highlight their similarities and differences. Four models were selected to predict milk production in lactating dairy cows, and the adequacy of their predictions was measured against the observed milk production from a database that was compiled from 37 published studies from six regions of the world, totalling 173 data points. We concluded that not all models were suitable for predicting predict milk production and that simpler systems might be more resilient to variations in studies and production conditions around the world. Improving the predictability of milk production by mathematical nutrition models is a prerequisite to further development of systems that can effectively and correctly estimate the contribution of ruminants to GHG emissions and their true share of the global warming event 2014-12-30 2015-02-02T15:25:09Z 2015-02-02T15:25:09Z Working Paper https://hdl.handle.net/10568/56628 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Tedeschi L, Herrero M, Thornton P. 2014. An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock. CCAFS Working Paper no. 94. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). |
| spellingShingle | models training materials livestock data analysis climate change adaptation agriculture food security farming systems Tedeschi, L.O. Herrero, Mario Thornton, Philip K. An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock. |
| title | An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock. |
| title_full | An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock. |
| title_fullStr | An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock. |
| title_full_unstemmed | An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock. |
| title_short | An Overview of Dairy Cattle Models for Predicting Milk Production: Their Evolution, Evaluation, and Application for the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Livestock. |
| title_sort | overview of dairy cattle models for predicting milk production their evolution evaluation and application for the agricultural model intercomparison and improvement project agmip for livestock |
| topic | models training materials livestock data analysis climate change adaptation agriculture food security farming systems |
| url | https://hdl.handle.net/10568/56628 |
| work_keys_str_mv | AT tedeschilo anoverviewofdairycattlemodelsforpredictingmilkproductiontheirevolutionevaluationandapplicationfortheagriculturalmodelintercomparisonandimprovementprojectagmipforlivestock AT herreromario anoverviewofdairycattlemodelsforpredictingmilkproductiontheirevolutionevaluationandapplicationfortheagriculturalmodelintercomparisonandimprovementprojectagmipforlivestock AT thorntonphilipk anoverviewofdairycattlemodelsforpredictingmilkproductiontheirevolutionevaluationandapplicationfortheagriculturalmodelintercomparisonandimprovementprojectagmipforlivestock AT tedeschilo overviewofdairycattlemodelsforpredictingmilkproductiontheirevolutionevaluationandapplicationfortheagriculturalmodelintercomparisonandimprovementprojectagmipforlivestock AT herreromario overviewofdairycattlemodelsforpredictingmilkproductiontheirevolutionevaluationandapplicationfortheagriculturalmodelintercomparisonandimprovementprojectagmipforlivestock AT thorntonphilipk overviewofdairycattlemodelsforpredictingmilkproductiontheirevolutionevaluationandapplicationfortheagriculturalmodelintercomparisonandimprovementprojectagmipforlivestock |