Mohammad Ali Asaadi; Hamed Najafi Alamdarlo; Seyed Habibollah Mosavi; Ali Reza Ehsani
Volume 25, Issue 2 , July 2023, , Pages 229-240
Abstract
Introduction1: Analyzing technical efficiency is particularly important in any economic sector, including the livestock industry and broiler production. By analyzing the efficiency of units, it is possible to help improve the use of resources and increase domestic production. Given the special importance ...
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Introduction1: Analyzing technical efficiency is particularly important in any economic sector, including the livestock industry and broiler production. By analyzing the efficiency of units, it is possible to help improve the use of resources and increase domestic production. Given the special importance of the livestock and broiler production industry in the country, it is necessary to analyzing technical efficiency and optimizing production in this area. Especially in Kurdistan province, which is one of the most important regions of broiler production in the country (3.8% of production in 2020), analyzing the efficiency and optimization of Arian race broiler production can be one of the solutions to increase domestic production and improve the country's economy. The current study aimed to assess the technical efficiency and identify the key determinants affecting the production of Arian broiler chicken in Kurdistan province using a parametric approach known as the Stochastic Frontier production function (SFP) method.
Materials and Methods: The level of technical inefficiency within the studied units was estimated by applying the functional form of Translog and employing the maximum likelihood method. A proportional sampling technique was employed to select a sample of 21 broiler farms for the study. The selection of farms was based on a proportionate representation of the target population. Subsequently, comprehensive input-output data were collected through the administration of a structured questionnaire in the year 2021.This function has been estimated using the Ttranslog function form and with the help of the maximum likelihood method, and units have been investigated the main factors explaining the level of technical inefficiency of the studied. A proportional sampling method was used to select 21 broiler farms, and input-output data were collected by completing a questionnaire in 2021.
Results and Discussion: In this study, using the translog function, has been investigated the relationship between different variables and technical efficiency in the production of Arian broiler in Kurdistan province. The results showed that feed consumption, the number of hatchlings and the cost of medicine and health were important variables that had a direct and significant effect on the amount of meat production. In addition, the estimated technical efficiency at the farm level ranged from 43% to 90% with an average of 75%. This result indicates that the poultry farms of Kurdistan province have relatively high technical efficiency. Also, the evaluation of the factors related to inefficiency showed that among the seven investigated factors, the variables of age, experience of the poultry owner and the labor force, the length of the breeding period and the degree of mechanization of the units had a negative and significant effect on the inefficiency. The age and experience of the poultry owner, there were two of the most important influencing factors that were observed in this research.
Conclusion: Considering the importance of broiler feed in increasing efficiency and its high share of variable costs, measures to stabilize its price are essential. To do this, contract farming may help broiler farmers to reduce price fluctuations in the feed market. Additionally, in case of shortage, the government can intervene and regulate the feed market. Also, considering that the age and experience of the poultry owner are two important factors on production efficiency, designing appropriate training programs for them can help improve their experience and skills in broiler production.
Hossein Emrani; Rasoult Vaes Torshizi
Volume 19, Issue 1 , May 2017, , Pages 33-45
Abstract
Ascites Syndrome is a costly metabolic disorder that has been linked to intense selection on growth rate and low feed conversion ratio in broilers. This Syndrome has become one of the most frequent causes of mortality within the broiler industry and leads to substantial economic losses and reduced animal ...
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Ascites Syndrome is a costly metabolic disorder that has been linked to intense selection on growth rate and low feed conversion ratio in broilers. This Syndrome has become one of the most frequent causes of mortality within the broiler industry and leads to substantial economic losses and reduced animal welfare. To identify genes and genomic regions associated with Ascites Syndrome, genome wide association study was performed by the chicken 60K SNP panel on 101 birds from a F2 chicken population derived from the reciprocal cross between Arian broiler Line and Azerbaijan native fowls. Genomic best linear unbiased prediction procedure was used to calculate associations between each SNP and ascite related traits. Several SNPsfor the ratio of right ventricular to total ventricular, an indicator for Ascites syndrome, reached the suggestive threshold (8.25×10-5) on chromosome 7. Two SNPs detected within CCDC141 and OSBPL6 genes were previously reported for human heart disorder. There are a large number of genes in this region (12745561-14602723) on chicken chromosome 7 that are related to hypertrophic cardiomyopathy, heart rate and human heart disorder. Selection for ascites resistance in broiler chicken using these findings could accelerate the genetic progress.
ali javanrouh aliabad; Ali akbar masoudi; alireza ehsani
Volume 18, Issue 4 , December 2016, , Pages 697-709
Abstract
In order to identify loci and genes associated with meat quality traits, genome-wide association study (GWAS) were conducted in a F2 population derived from a reciprocal cross between Azerbaijan native chickens and Aryan broiler line by using Illumnia 60 K Chicken SNP Bead chip. For each bird, a total ...
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In order to identify loci and genes associated with meat quality traits, genome-wide association study (GWAS) were conducted in a F2 population derived from a reciprocal cross between Azerbaijan native chickens and Aryan broiler line by using Illumnia 60 K Chicken SNP Bead chip. For each bird, a total 6 traits including water holding capacity, meat color lightness (L*), redness (a*), yellowness (b*), shear force and ultimate pH were measured. The SNPs that were associated with meat quality traits were identified using both GLM and compressed mixed linear models (CMLM). A total of 36 SNPs were associated with meat quality traits in the genome–wide significance and suggestive levels, that 3 SNPs were significantly associated with meat color yellowness through CMLM model and 18 SNPs were suggestively associated with meat color yellowness, ultimate pH, water holding capacity and shear force through GLM model. The identified candidate genes have molecular functions related to meat quality traits. So, these candidate genes can be applied in the chicken breeding scheme.