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Articles
by
Zhu Da-Zhou |
Total Records (
2 ) for
Zhu Da-Zhou |
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Chen Zi-Long
,
Zhu Da-Zhou
,
Wang Cheng
,
Zheng Ling
,
Dong Gao
and
Zhao Chun-Jiang
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Canopy temperature is an important factor of crop yield. How
to test the canopy temperature for an effective prediction of crop yield is
an important content of breeding research. In this study, the canopy temperature
of winter wheat during their filling stage and mature stage were gained by infrared
imager. Results demonstrated that the absolute canopy temperature and morning-noon
temperature difference of the winter wheat are significantly negative correlated
with the yield. During the filling stage, the yield (dry weight) showed a correlation
coefficient (r) with the absolute canopy temperature in the morning of -0.63,
-0.75 with the absolute canopy temperature at noon and -0.74 with the absolute
canopy temperature in the afternoon. Meanwhile, the correlation coefficients
between the yield (fresh weight) and above three absolute canopy temperatures
were -0.59, -0.68 and -0.68, respectively. During the mature stage, the yield
(dry weight) showed a correlation coefficient with morning-noon temperature
difference of -0.76 and -0.56 with the morning-afternoon temperature difference
and -0.54 with the noon-afternoon temperature difference. Meanwhile, the correlation
coefficients between the yield (fresh weight) and above three temperature differences
were -0.68, -0.58 and -0.40, respectively. |
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Zhang Xin-Wei
,
Jia Yin-Shan
,
Zhu Da-Zhou
,
Wang Cheng
,
Chen Zi-Long
,
Wang Xiao-Dong
and
Yu Chun-Hua
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A crop breeding data analysis system is developed to meet
the requirements of massive data management and analysis in crop breeding domain.
The system adopts B/S architecture and SSH framework of MVC model, so its
structure has three layers. The data layer is responsible for data storage and
data insert, modification, deletion, query, implemented by SQL Server; The business
logic layer is responsible for the execution of business logic such as data
analysis and implemented by Java; The presentation layer is responsible for
data display and implemented by jsp and js. The system has function of breeding
data query, preprocessing, conventional analysis, comprehensive evaluation,
etc. This system adopts the DTOPSIS method and fuzzy judgment method to process
the mass breeding data which could assist breeding personnel for screening breeding
materials. Practice shows that the system could improve the breeding data analysis
efficiency. |
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