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Modeling and Forecasting Livestock Feed Resources in India Using Climate Variables
The availability and efficient use of the feed resources in India are the primary drivers to maximize productivity of Indian livestock. Feed security is vital to the livestock management, extent of use, conservation and productivity enhancement. Assessment and forecasting of livestock feed resources...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST)
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4092910/ https://www.ncbi.nlm.nih.gov/pubmed/25049586 http://dx.doi.org/10.5713/ajas.2011.11283 |
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author | Suresh, K. P. Kiran, G. Ravi Giridhar, K. Sampath, K. T. |
author_facet | Suresh, K. P. Kiran, G. Ravi Giridhar, K. Sampath, K. T. |
author_sort | Suresh, K. P. |
collection | PubMed |
description | The availability and efficient use of the feed resources in India are the primary drivers to maximize productivity of Indian livestock. Feed security is vital to the livestock management, extent of use, conservation and productivity enhancement. Assessment and forecasting of livestock feed resources are most important for effective planning and policy making. In the present study, 40 years of data on crop production, land use pattern, rainfall, its deviation from normal, area under crop and yield of crop were collected and modeled to forecast the likely production of feed resources for the next 20 years. The higher order auto-regressive (AR) models were used to develop efficient forecasting models. Use of climatic variables (actual rainfall and its deviation from normal) in combination with non-climatic factors like area under each crop, yield of crop, lag period etc., increased the efficiency of forecasting models. From the best fitting models, the current total dry matter (DM) availability in India was estimated to be 510.6 million tonnes (mt) comprising of 47.2 mt from concentrates, 319.6 mt from crop residues and 143.8 mt from greens. The availability of DM from dry fodder, green fodder and concentrates is forecasted at 409.4, 135.6 and 61.2 mt, respectively, for 2030. |
format | Online Article Text |
id | pubmed-4092910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) |
record_format | MEDLINE/PubMed |
spelling | pubmed-40929102014-07-21 Modeling and Forecasting Livestock Feed Resources in India Using Climate Variables Suresh, K. P. Kiran, G. Ravi Giridhar, K. Sampath, K. T. Asian-Australas J Anim Sci Article The availability and efficient use of the feed resources in India are the primary drivers to maximize productivity of Indian livestock. Feed security is vital to the livestock management, extent of use, conservation and productivity enhancement. Assessment and forecasting of livestock feed resources are most important for effective planning and policy making. In the present study, 40 years of data on crop production, land use pattern, rainfall, its deviation from normal, area under crop and yield of crop were collected and modeled to forecast the likely production of feed resources for the next 20 years. The higher order auto-regressive (AR) models were used to develop efficient forecasting models. Use of climatic variables (actual rainfall and its deviation from normal) in combination with non-climatic factors like area under each crop, yield of crop, lag period etc., increased the efficiency of forecasting models. From the best fitting models, the current total dry matter (DM) availability in India was estimated to be 510.6 million tonnes (mt) comprising of 47.2 mt from concentrates, 319.6 mt from crop residues and 143.8 mt from greens. The availability of DM from dry fodder, green fodder and concentrates is forecasted at 409.4, 135.6 and 61.2 mt, respectively, for 2030. Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2012-04 /pmc/articles/PMC4092910/ /pubmed/25049586 http://dx.doi.org/10.5713/ajas.2011.11283 Text en Copyright © 2012 by Asian-Australasian Journal of Animal Sciences This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License http://creativecommons.org/licenses/by-nc/3.0/ which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Suresh, K. P. Kiran, G. Ravi Giridhar, K. Sampath, K. T. Modeling and Forecasting Livestock Feed Resources in India Using Climate Variables |
title | Modeling and Forecasting Livestock Feed Resources in India Using Climate Variables |
title_full | Modeling and Forecasting Livestock Feed Resources in India Using Climate Variables |
title_fullStr | Modeling and Forecasting Livestock Feed Resources in India Using Climate Variables |
title_full_unstemmed | Modeling and Forecasting Livestock Feed Resources in India Using Climate Variables |
title_short | Modeling and Forecasting Livestock Feed Resources in India Using Climate Variables |
title_sort | modeling and forecasting livestock feed resources in india using climate variables |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4092910/ https://www.ncbi.nlm.nih.gov/pubmed/25049586 http://dx.doi.org/10.5713/ajas.2011.11283 |
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