"5424","8","archive","30",,,"disk0/00/00/54/24","2012-02-08 05:15:22","2012-02-08 05:15:22","2012-02-08 05:15:22","article",,,"show","Library-ICRISAT@cgiar.org",,,"","","","","","","","","","",,,,"Dixit","P N","","","","","","","Dixit","P N",,,"","",,,,,"","",,,,,"","","ICRISAT(Nairobi)","Kenya","Effect of topography on farm-scale spatial variation in extreme temperatures in the Southern Mallee of Victoria, Australia ","pub","s2.4","","","restricted",,,,,"The financial support provided by the University
of Melbourne in the form of Melbourne International Fee Remission
Scholarship and Melbourne International Research Scholarship is
greatly acknowledged. The help extended by the Department of
Primary Industries (DPI), Horsham and Birchip Cropping Group is
duly acknowledged. The authors are grateful to Dr. Daniel Rodriguez,
DPI-Queensland and Dr. John Angus, CSIRO - Canberra for
providing constructive suggestions","Extreme temperatures around flowering of wheat
have the potential to reduce grain yield and at farm scale
their impact can be spatially variable depending on
topography. Twenty-five data loggers were installed at
0.8-m height across a 164-ha farm in the southern Mallee
of Victoria, Australia to spatially record the daily course of
temperatures around the average date of flowering of wheat
in the region. The experiment was conducted during 2-
years period. In 1 year, the farm had no crop cover and in
another year the farm had a wheat crop. Multiple linear
regression analysis techniques were used to fit models
relating daily extreme temperatures to the farm topographic
features of elevation, aspect and slope, and the average
maximum and minimum temperatures of each day at the
farm in order to identify areas of high risk of extreme
temperatures around the time of the flowering of wheat.
The fitted regression models explained 90% and 97% of the
variability in maximum and minimum temperatures, respectively,
when the farm had no crop cover and 80% and
94% of the variability in maximum and minimum temperatures,
respectively, when the farm had a wheat crop cover.
When the farm had no crop, only minimum temperature
was partially explained by the topography however, both
maximum and minimum temperatures were partially
explained by the topography when the farm had a wheatcrop. From this study it was concluded that, (1) high
temperature variations were found across the farm (2)
temperature variations were only partially explained from
the developed model presumably due to the flatter
topography of the farm and (3) the relationships obtained
from this study could be used in a crop model which can
explain variation in grain yield based on the topography of
a field.","2011","published",,"Theoretical and Applied Climatology ","103","3-4","Springer ",,"533-542",,,,,,,,,,,"TRUE",,"1434-4483 ",,,,,,"","http://dx.doi.org/10.1007/s00704-010-0327-2 ","http://scholar.google.co.in/scholar?hl=en&q=allintitle%3A+%22Effect+of+topography+on+farm-scale+spatial+variation+in+extreme+temperatures+in+the+Southern+Mallee+of+Victoria%2C+Australia+%22&btnG=Search&as_sdt=0%2C5&as_ylo=&as_vis=0","author",,"University of Melbourne","",,,,,,"",,,,,,,"",,,,,"",,,,,"","",,,,,"","",,,,,
"5424",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Chen","D","","",,,,,,,,,,,,,,,,,,,,,,,"The University of Melbourne(Melbourne)","Australia",,,"s2.8",,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,