Literature DB >> 32577936

GIS-augmented survey of poultry farms with respiratory problems in Haryana.

Renu Gupta1, Punit Jhandai2, Davinder Singh3.   

Abstract

Among various infectious diseases of poultry, diseases of the respiratory tract are responsible for considerable economic losses. The present study was conducted to evaluate some of the risk factors, which included locations of farm, ventilation facilities, number of farms in 1 km2 area, agro-climatic zone, and age of flock in relation to respiratory problem in Haryana, India. One hundred poultry flocks with respiratory problems were identified and selected for conducting the survey. The "ODK Collect" app installed on a smartphone was used to capture coordinates of the farms. The collected data was accessed through http://odkproject-iirs.appspot.com/ . The location of farms was mapped with the help of QGIS. All the three parameters, viz., morbidity, mortality (p < 0.001), and case fatality rate (CFR) (p = 0.045), were significantly higher in birds of age 0-2 weeks. Natural ventilation was the most common facility observed in the present study (51/100). Maximum morbidity and mortality were observed in small flocks (< 10,000), whereas maximum CFR was observed in medium-sized flocks (> 10,000-30,000), and there was a significant difference in morbidity, mortality, and CFR. Further, there was a significant difference between agro-climatic zones with respect to morbidity and mortality (p < 0.001). It can be concluded that age, flock size, and agro-climatic conditions have an impact on intensity of diseases especially respiratory diseases. Therefore, special precautions should be taken for young flock. Flock size should be adequate, and such management practices should be adopted that are suitable for particular climatic conditions.

Entities:  

Keywords:  Age; Agro-climatic zone; Flock size; ODK Collect; Poultry; QGIS; Respiratory diseases; Ventilation

Mesh:

Year:  2020        PMID: 32577936     DOI: 10.1007/s11250-020-02336-0

Source DB:  PubMed          Journal:  Trop Anim Health Prod        ISSN: 0049-4747            Impact factor:   1.559


  3 in total

1.  Factors associated with mortality in Norwegian broiler flocks.

Authors:  B T Heier; H R Høgåsen; J Jarp
Journal:  Prev Vet Med       Date:  2002-02-14       Impact factor: 2.670

2.  A simple method for the analysis of clustered binary data.

Authors:  J N Rao; A J Scott
Journal:  Biometrics       Date:  1992-06       Impact factor: 2.571

3.  How to control confounding effects by statistical analysis.

Authors:  Mohamad Amin Pourhoseingholi; Ahmad Reza Baghestani; Mohsen Vahedi
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2012
  3 in total

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