Modeling and Forecasting Livestock Feed Resources in India Using Climate Variables

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 are most important for effective planning and policy making. In the present study, 40 years of d...

Forecasting Livestock Feed Cost Risks Using Futures and Options

Practitioner's Abstract The costs of corn-and soybean-based feeds compose a substantial proportion of the variable costs faced by both mainstream and emergent confined livestock producers. This research develops a method to provide a joint distribution of prices of corn and soybean meal at a future time. Black's 1976 option model and stochastic volatility jump diffusion (SVJD) model are compare...

Livestock Feed Resources within Integrated Farming Systems

A framework for the integration of poultry and fish production in the tropics and sub-tropics is proposed. Poultry may be integrated with fish culture in several ways and benefits extend to both. Both poultry production and processing wastes have value as nutrient inputs to fish and the water used for fish culture can be used for evaporative cooling of poultry and fertilization of crops. The co...

Evaluation of tropical feed resources for ruminant livestock

Modeling zoonotic cutaneous leishmaniasis incidence in central Tunisia from 2009-2015: Forecasting models using climate variables as predictors

Transmission of zoonotic cutaneous leishmaniasis (ZCL) depends on the presence, density and distribution of Leishmania major rodent reservoir and the development of these rodents is known to have a significant dependence on environmental and climate factors. ZCL in Tunisia is one of the most common forms of leishmaniasis. The aim of this paper was to build a regression model of ZCL cases to ide...