Volume 10, Issue 25 (11-2019)                   rap 2019, 10(25): 120-128 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Norooz Valashedi R, Bahrami Pichaghchi H. Investigation of Bioclimatology Factors on Prediction of Honeybee Performance in Climate Change Conditions (Case Study: Shahindej). rap. 2019; 10 (25) :120-128
URL: http://rap.sanru.ac.ir/article-1-1020-en.html
Water Engineering Department, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
Abstract:   (817 Views)
   Climatic variables are among the factors influencing the performance of various crop and livestock products. Considering the advanced climate change, the impact of climate indicators on livestock production can present serious challenge for producers. Crop yields prediction is one of the most important issues in the food security debate to increase the economic efficiency of livestock production. In this research, the relationship between climatic elements and indicators with honey bee function in Shahindej was investigated. The length of the statistical period was 12 years from 2007 to 2018. First, elements and climatic indices that were highly correlated with product yield were identified. Then, by default, the honey yield prediction model was presented. The validity of the model is based on the linearity of the relationship between independent and dependent variables, then the normal distribution of the error values and the independence of the error values. In the end, the normal distribution of the dependent variable was tested. Output of the model results showed that product performance with temperature was significant. The accuracy of the honey performance model with a RMSE was 11%. Therefore, it can be said with great accuracy that the effect of climate change on a half-degree increase in temperature will reduce honey performance by about 40 tons per year. The results of the study of the trend of cold and cold climate indicators presented by the World Meteorological Organizationchr('39')s Climate Change Detection Panel, Indicates that the region under study is experiencing a warming process. Therefore, changes in bee function were mainly influenced by climatic factors.
Full-Text [PDF 2297 kb]   (153 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/06/10 | Revised: 2019/12/9 | Accepted: 2019/07/22 | Published: 2019/11/25

References
1. Al-Ghamdi, A.A. 2007. Evaluation of various honeybee foraging activities for identification of potential bee plants in Riyadh, Saudi Arabia. Annals of Agricultural Sciences, 52(2): 487.
2. Alexander, L.V., X. Zhang, T.C. Peterson, J. Caesar, B. Gleason, A.M.G. Klein Tank and A. Tagipour. 2006. Global observed changes in daily climate extremes of temperature and precipitation. Journal of Geophysical Research Atmospheres, 111(5). [DOI:10.1029/2005JD006290]
3. Bahador, Y., M.R. Mohammadabadi, A. Khezri, M. Asadi and L. Medhati. 2016. Study of genetic diversity in honey bee populations in Kerman province using ISSR markers. J Research on Animal Production, 7(13): 192-186. [DOI:10.18869/acadpub.rap.7.13.192]
4. Chehrei, A., A.A. Haghdoost, S.M. Fereshtehnejad and A. Bayat. 2011. Statistical methods in medical science researches using SPSS software. Esfehan: Pejvake-Elme-Aria.
5. Contrera, F.A.L., V.L. Imperatriz-Fonseca and J.C. Nieh. 2004. Temporal and climatological influences on flight activity in the stingless bee Trigona hyalinata (Apidae, Meliponini). Revista Tecnologia e Ambiente, 10(2): 35-43.
6. Fallah Ghalhari, G., H. Ahmadi and M. Fakheri. 2016. Evaluate the climate calendar of beekeepers in West Azerbaijan province based on thermal conditions Geographical Researches Quarterly Journal, 31(1): 13-30.
7. Ghanbari, S. and Z. Nemati. 2018. Study on spatial suitability and economic evaluation of beekeeping in Arasbaran region and beekeepers problems. Animal Sciences Journal, 31(119): 83-92.
8. Golchin, M. and M. Jalali. 2013. Zoning Watershed for Artificial Recharge of Ground Water Using AHP and GIS Techniques. Geography and Planning, 17(45): 183-202.
9. Goulson, D. 2003. Bumblebees: their behaviour and ecology. Oxford University Press, USA.
10. Kouzegaran, S. 2018. Modeling of the Saffron yield based on meteorological extreme events (Case study: Birjand) Journal of Saffron Research, 5(2): 217-229.
11. Mohammadi, B., P. Mohammadkhani and M.H. Gholizadeh. 2017. Preparing Iran's Bioclimatic Map by Using the Predicted Mean Vote Index. Geographical Researches Quarterly Journal, 32(2): 21-39. [DOI:10.18869/acadpub.geores.32.2.21]
12. Mohammadi, P., J. Nazemi Rafie and J. Rostamzadeh. 2018. Evaluation of phylogenetic characteristics of Iranian honeybee (Apis mellifera meda) populations based on mitochondrial ND2 Gene. J Research on Animal Production, 9(21): 93-104. [DOI:10.29252/rap.9.21.93]
13. Mousavi, F.S., G.H. Tahmasbi, M. Khanjani and A. Pourmirza. 2007. Honeybee protection in the poisonous farms by using some repellents. Veterinary Researches and Biological Products, 20(4): 48-54.
14. Powell, J., S. Reinhard and C. Extremes. 2016. Measuring the effects of extreme weather events on yields. Weather, 12: 69-79. [DOI:10.1016/j.wace.2016.02.003]
15. Rosenzweig, C., A. Iglesias, X.B. Yang, P.R. Epstein and E. Chivian. 2001. Climate change and extreme weather events; implications for food production, plant diseases, and pests. Global Change and Human Health, 2(2): 90-104. [DOI:10.1023/A:1015086831467]
16. Sastry, P. and N.V.K. Chakravarty. 1982. Energy summation indices for wheat crop in India. Agricultural Meteorology, 27(1-2): 45-48. [DOI:10.1016/0002-1571(82)90018-8]
17. Stone, P. and M. Nicolas. 1994. Wheat cultivars vary widely in their responses of grain yield and quality to short periods of post-anthesis heat stress. Functional Plant Biology, 21(6): 887-900. [DOI:10.1071/PP9940887]
18. Van der Velde, M., F.N., Tubiello, A. Vrieling and F. Bouraoui. 2012. Impacts of extreme weather on wheat and maize in France: evaluating regional crop simulations against observed data. Climatic change, 113(3-4): 751-765. [DOI:10.1007/s10584-011-0368-2]
19. Wardlaw, I.F., I.A. Dawson, P. Munibi and R. Fewster. 1989. The tolerance of wheat to high temperatures during reproductive growth. I. Survey procedures and general response patterns. Australian Journal of Agricultural Research, 40(1): 1-13. [DOI:10.1071/AR9890001]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


© 2020 All Rights Reserved | Research On Animal Production(Scientific and Research)

Designed & Developed by : Yektaweb