Experiment code | 18.3.23 |
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Experiment Title | Climate Change Impacts on Livestock and Adaptation Strategies for sustainable production |
Research Type | Other |
Experiment Background | Livestock sector both contributes to and is affected by climate change. Climate change affects livestock both directly and indirectly. Houghton et al. (2001) concluded that direct effects from air temperature, humidity, wind speed and other climate factors influence animal performance: growth, milk production, wool production and reproduction. The impact of climate change on animal production has been categorized by Rotter and Van de Geijn (1999) as: a) availability of feed grain, b) pasture and forage crop production and quality, c) health, growth and reproduction and, d) disease and their spread. Animal health may be affected by climate change in four ways: 1) heat-related diseases and stress, 2) extreme weather events, 3) adaptation of animal production systems to new environments and 4) emergence or re-emergence of infectious diseases, especially vector borne diseases which are critically dependent on environmental and climatic conditions. The livestock production is an integral part of mixed farming systems practiced in the entire length and breadth of India. Furthermore while vulnerability to climate change has hardly been documented in the context of India; experimental studies have been conducted on effects of season and climate on production, performance and other physiological parameters of livestockanimals. These studies have revealed that milk yield of crossbred cows in India (e.g., Karan Fries, Karan Swiss and other Holstein and Jersey crosses) are negatively correlated with temperature-humidity index (Mandal et al. 2002a). The influence of climatic conditions on milk production has been also observed for local cows which are more adapted to the tropical climate of India. The estimated annual loss at present due to heat stress among cattle and buffaloes at the all-India level is 1.8 million tonnes, that is nearly two per cent of the total milk production in the country, amounting to a whopping over Rs 2,661 crore (Upadhaya, 2010). According to Tailor and Nagda (2005) heat stress has detrimental effects on the reproduction of buffaloes, although buffaloes are well adapted morphologically and anatomically to hot and humid climate. Upadhyaet.al, (2007) stated that thermal stress on Indian livestock particularly cattle and buffaloes has been reported to decrease oestrus expression and conception rate. Maurya (2010) concluded that the length of service period and dry period of all livestockanimals was increased from normal during drought. The outbreak of the disease was observed to be correlated with the mass movement of animals which in turn is dependent on the climatic factors (Sharma et al. 1991). Singh et al. (1996) reported that higher incidence of clinical mastitis in livestockanimals during hot and humid weather due to increased heat stress and greater fly population associated with hot–humid conditions. In addition, the hot–humid weather conditions were found to aggravate the infestation of cattle ticks like: Boophilusmicroplus, Haemaphysalisbispinosa and Hyalommaanatolicum(Basu and Bandhyopadhyay, 2004; Kumar et al., 2004). Keeping view in mind a study on climate change impacts on livestock as perceived by farmers and adaptation strategies to sustain livestock production will be conducted for south Gujarat region. This project will carried out in three phasesi.e for dairy cattle, small ruminant and poultry. |
Experiment Group | Social Science |
Unit Type | (02)EDUCATION UNIT |
Unit | (12)NAVINCHANDRA MAFATLAL COLLEGE OF AGRICULTURE (NAVSARI) |
Department | (249)Agricultural Economics Department, NMCA, Navsari |
BudgetHead | (303/03126/01)303/13/REG/01503 |
Objective |
(i) To assess the potential impacts of climate change on livestock (ii) To predict the impacts on the livestock sector under various climate change scenarios. (iii) To assess the possible adaptation options for livestock farmers in Gujarat. |
PI Name | (NAU-EMP-2010-000269)NARENDRA SUMER SINGH |
PI Email | ns_manohar@nau.in |
PI Mobile | 9427383049 |
Year of Approval | 2019 |
Commencement Year | 2023 |
Completion Year | 2023 |
Research Methodology |
The study used Ricardian approach/ production approach to estimate the impacts of climate change on livestockfarms. The Ricardian approach examines how climate in different places affects the net rent or value of farmland (Mendelsohn et al., 1994). This approach is a cross-sectional empirical analysis designed to capture the effect of ‘natural experiments’ practiced by farmers across different agro-climate zones or locations. In other words, the farming activities across a large country with sufficiently varying climate can be used as samples for comparing farmers’ response to change climate. The method uses the typical economic measure of farm performance: net revenue or net farm income. By examining the economic performance of farms across different agro-climate and regressing farm performance on long-term climate, one can empirically estimate long-term climate sensitivity. The Ricardian approach has been used to estimate the impacts of climate change on agriculture in the United States (Mendelsohn et al., 1994, 1996, 1999; Schlenker et al., 2002), India (Dinar et al., 1998) and Brazil. In order to predict climate change impacts for this region, were examined climate change scenarios predicted by three Atmospheric Oceanic General Circulation Models (AOGCM): the Canadian Climate Centre (CCC), the Centre for Climate System Research (CCSR), and the Parallel Climate Model (PCM) models. |
(NAU-EMP-1990-000081) NARENDRKUMAR MOHANBHAI PATEL |
narendrapatel@nau.in | 9998002477 | 27-01-2023 |
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(NAU-EMP-2008-000398) ALPESHKUMAR KANTILAL LEUA |
alpeshleua@nau.in | 9725039457 | 03/03/2016 |
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(NAU-EMP-2019-000743) JAYDEEP VALLABHBHAI VARASANI |
jaydeepvarasani@nau.in | 9512744888 | 03/02/2024 |
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Sr. No. | Operation Date | Nature of Data | Value of Data | Operation Status |
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Sr. No. | Operation Date | Operation Status | |||
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1 | 10/02/2023 | Completed |
Sr. No. | Operation Date | Operation Status | |||
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1 | 10/02/2023 | Completed |
Sr. No. | Operation Date | Operation Status | |||
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1 | 10/02/2023 | Completed |