This document presents a project on analyzing the environmental impact on rice yield patterns in Dinajpur District, Bangladesh. The objectives are to observe climate variability over 10 years, find relationships between weather parameters and rice yields, and determine interrelationships among weather parameters. The methodology will analyze data on 6 weather parameters (temperature, rainfall, humidity, air velocity, sunshine hours) collected from agricultural institutions using Excel and develop statistical models using SPSS regression. Previous related studies on the effects of temperature and humidity on rice yields are also presented. The future goal is to help predict rice yields and develop adaptive rice varieties.
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Environmental Impact on Rice Yield
1. Impact of Climate Change on Rice Production
Project work & seminar
Environmental Impact on Rice Yield Pattern
Thesis
on
2. “Presentation on our project work”
Greetings,
This is a
Shared for your kind consideration
3. Presented to,
Honorable,
Dr. Md. Mosharraf Hossain
Professor
Dept. Farm Power Machinery
Bangladesh Agricultural University, Mymenshingh
Dr. Md. Shiddiqur Rahman
Professor
Dept. of Agricultural & Industrial Engineering
Dean
Faculty of Agro-Industrial & Food Process Engineering
Hajee Mohammad Danesh Science & Technology University, Dinajpur
Dr. Md. Kamal Uddin Sarkar
Professor
Dept. of Agricultural & Industrial Engineering
Hajee Mohammad Danesh Science & Technology University, Dinajpur
6. Background of the study
They used to look at the sky
and asses the weather
condition!
From the very beginning,
farmers used to depend on
weather for crop
production!
7. Why study environmental Impact on rice
yield pattern?
At first, nature itself and its change over time, includes
the physical impact on the Earth's land, water,
atmosphere and biosphere all are related with rice
yield.
1990 2007
8. At next, how humans use nature, includes the environmental
consequences of increasing population, more effective
technology and remotely or indirectly changing patterns of
rice as well as crop yield.
Finally, environmental engineers need to know what do the
farmers think about nature - the way attitudes, beliefs and
values influence interaction with nature, especially in the
form of myths, religion and science.
9. Climate variability and change present threats and opportunities to
the environment and sustainability of food systems, and hence will
further affect links between agriculture, nutrition and health.
10. An Analysis of the Environmental Impacts of
Energy Crops in Nigeria towards
Environmental towards Environmental
Sustainability
J.O. Olaoye
Department of Agricultural and Biosystems Engineering,
University of Ilorin, Nigeria
2004
Previous Works done on Similar topic
11. Impact of relative humidity of November month of each
year on the yield of Boro rice
Impact of air velocity, and sunshine hour of November
month of each year on the yield of Boro rice
Relationship among the minimum & maximum temperature,
sunshine hour, relative humidity, air velocity in Boro season
at November
IMPACT OF WEATHER PARAMETERS ON THE YIELD OF
RICE IN MYMENSINGH DISTRICT (2001-2009)
BY
Engr. MD. SUMON MIAH
B.Sc. In Engg.(Agril)
M.S. in Farm Structure(BAU)
2006
Impact of minimum & maximum temperature of November
month of each year on the yield of Boro rice
RESEARCH
FINDING
Previous Works done on Similar topic
12. Future Aspect
Better understanding on environmental impact
will enable us ;
Yield Prediction of rice;
To understand response of various rice varieties
to the basic environmental parameters
To develop better adaptive varieties
Help Agricultural Scientists with obtained results in developing
new high yield varieties.
13. Objectives of the study
To observe the climatic variability for the last 10
years in Dinajpur district.
To find relationship between environment-
parameters and rice grain yield.
To find inter-relationship among the environment-
parameters.
14. Assumptions; are to be taken in developing the model
The values of weather parameters were uniform throughout the
Dinajpur district.
Fertilizers were uniformly distributed in every year for the same
crop.
Irrigation water was uniformly supplied in every year for the same
crop.
Management of insecticides, pesticides, etc. were uniform in all
years.
Viability of seeds was similar in every year.
Soil fertility was similar in every year.
15. Methodology
Climate to crop interactions
How can projections of climate-induced changes be linked to rice production?
Max.
Temperature
Relative
Humidity
Rainfall
crop Air VelocitySunshine hrs
Min
Temperature
climate
6 major weather parameters are to be considered
16. Study Location Dinajpur
Area 3437.98 sq. km
Population 2290000
Average Rainfall (per year) 2167mm
Average temperature in winter 10ᵒC
Average temperature in summer 34ᵒC
Secondary Data to be collected from Various Agricultural & related Institutions
17. 2,10,810 ha.
1,53,400 ha.
44,250 ha.
10,530 ha.
25,275 ha.
53,957 ha.
42%
31%
9%
2% 5% 11%
Ropa Amon
Boro
Wheat
Aush
Potato
Others
Major Crops in Dinajpur District
18. Crop data selection
Name of crop
Cropping season in month
Total
month
From To
Aaus
FIZER April mid July 3.5
BITLOP April mid July 3.5
Amon
BR-11 mid July mid November 4
PAJAM mid July mid November 4
Boro
BR-28 November April 6
BR-29 November April 6
20. 10 year Total Rainfall Record(mm) in Dinajpur District
0
500
1000
1500
2000
2500
3000
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Collected data will be analyzed by using Excel
21. 0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Average Min temperature
Average Max Temperature
10 year Average Max. & Min Temperature (ᵒc) Record
in Dinajpur District
Collected data will be analyzed by using Excel
22. Relation between each of the 6 parameters to rice will needed to be derived
Inter-relation among each of the 6 parameters will needed to be derived
To conduct multiple regressions these relations will further be analyzed and
statistical model will be obtained in SPSS
Where,
Y is the dependent variable ,
i represents the year, a is the constant and
b, c, d, e, f are the regression coefficient.
Tmax is the maximum temperature (oC),
Tmin = Minimum Temperature (oC)