This research was aimed to study and analyze the costs, revenues, and profits of meat chicken breeding projects. The study also estimating the random frontier profit function, the profit inefficiency function and profit efficiency which based on cross-sectional data that included 59 projects for raising meat poultry in Waist governorate in 2020.The results of the analysis showed through the descriptive analysis of the cost structure that, the costs of chicks and fodder account for more than 70% of the costs, as well as achieving economic profits for projects. Through the random border profit function, the significance of both the total revenue and the costs of chicks, fodder, medicines, vaccines, and services (water, electricity and fuel) was shown. As for the inefficiency function parameters, they were significant for each proved the age of the breeder, his years of experience, the presence of the veterinarian and the agricultural engineer. As for the efficiency of profits, it was 76%. The researcher recommended the necessity of supporting breeding projects by providing incentives to feed factories and their processors or supporting feeds and private hatcheries to reduce costs and provide training for less experienced breeders and urge them to involve veterinarians and agricultural engineers in supervising broiler projects.

The aim of this work was to check the presence of the dumping from neighboring countries of Iraq, Turkey and Jordan. The margin of dumping was calculated by taking the difference between the normal value and the export price. If it exceeds 2%, then there is dumping. Product dumping in Iraq has increased since 2003, and it is increasing from year to year for many types of agricultural and food commodities. Main reasons are the high rate of imports and the absence of trade policies represented by customs tariffs which in turn control the trade exchange. The research concluded that there is an intentional dumping in the trade of some agricultural commodities with Iraq from neighboring countries. Trade exchange with these countries has negative effects on the domestic product.

"The aim of this research is to predict the production, consumption and food gap of the rice crop in Iraq, as well as the economic factors that affect the self-sufficiency ratio and the quantity of imports with the time series (2015-1980). Based on the statistical program (Minitab & SPSS) Is the Exponential Smoothing method for Forecasting the production, consumption, and nutritional gap of the rice crop. Two types of single and double (2016-2025) was the single Exponential Smoothing method for having the lowest MSE value of (11450.4) . As for the consumption of the rice yield for the period (2025-2016), the double Exponential Smoothing method was the most accurate (MSE), which is 87100.7. As for the food gap, the single Exponential Smoothing is the best predictor for the same period in terms of the lowest value (MSE) 84100.1. The self-sufficiency ratio was affected by five factors (cultivated area, Imports, available for consumption, import / production ratio, the dummy variable representing years of blockade), and Factors affecting the quantity of imports (rice production,available for consumption, border prices, the number of the population Al- Muthanna University All rights reserved"

This research was aimed to study the problems related to fish farming and the risks that they face.  Diyala Governorate was chosen as an applied model for measuring risk facing fish farmers. Research data were collected according to the random sample method, which included (30%) of all fish farming projects in Diyala Governorate. This sample has included 28% of the total fish farming projects in fish ponds and (31.5%) of the total Fish farming projects in cages through a questionnaire prepared for this purpose. The study focused on analyzing the behavior of fish farmers of the research sample towards risks by adopting a safety model in the form of the risk avoidance criterion (K(s)(.The production functions for fish farming projects in fish ponds and floating cages were estimated, and these functions were estimated by the absence of dummy variables (educational level, years of experience) and with their presence, as well as estimating the risk functions of fish farming projects in fish ponds and floating cages. The results showed that the percent of fish farmers who prefer to take risks in fish ponds (25%) and in floating cages (33.3%), and that the percent of fish farmers who prefer moderate risk (natural or medium) were about (53%) in the ponds and the proportion (66.7%) in Cages, while the fish farmers who avoid risks, they constitute (22%) in ponds and (0%) in cages, from which we conclude that fish farmers in floating cages prefer a greater risk than fish farmers in fish ponds, also the results of the risk function for farming projects  in fish ponds and floating cages revealed that dummy variables (educational level, years of experience) have a negative relationship with production risks, which means that the improvement of the educational level and the increment of experience years contributes to a decrease in production risks.