DocumentCode
3373782
Title
Evaluating different integrated precision rice management strategies in Northeast China
Author
Hongye Wang ; Yuxin Miao ; Guangming Zhao ; Yinkun Yao ; Khosla, Rajiv
Author_Institution
Int. Center for Agro-Inf. & Sustainable Dev. (ICASD), China Agric. Univ., Beijing, China
fYear
2013
fDate
12-16 Aug. 2013
Firstpage
419
Lastpage
422
Abstract
The objective of this research was to evaluate three integrated precision rice (Oryza sativa L.) management strategies for grain yield and N use efficiencies in Northeast China against farmer practice. Two field experiments were conducted in 2011 in Jiansanjiang, Heilongjiang Province, China, involving five treatments and two crop varieties (Kongyu 131 and Longjing 21). The results indicated that regional optimum rice management(RORM), chlorophyll meter-based precision rice management (CM-PRM) and GreenSeeker sensor-based precision rice management (GS-PRM) systems increased grain yield by 8-11% over farmer practice, and increased N recovery efficiency by 12% - 34%. The GS-PRM system has potential to further increase N recovery efficiency by 13-15% over the RORM systems. The RORM system also performed quite well, and is easier to be adopted by farmers. More studies are needed to further evaluate these management systems under diverse onfarm and weather conditions.
Keywords
agricultural engineering; crops; farming; fertilisers; nitrogen; precision engineering; strategic planning; GS-PRM systems; GreenSeeker sensor; Jiansanjiang Heilongjiang; Northeast China; Oryza sativa L; chlorophyll meter; crop varieties; farming; grain yield; nitrogen usage efficiencies; precision rice management strategies; regional optimum rice management; Fertilizers; Irrigation; Meteorology; Nitrogen; Productivity; Soil; GreenSeeker crop sensor; chlorophyll meter; integrated rice management; precision rice management;
fLanguage
English
Publisher
ieee
Conference_Titel
Agro-Geoinformatics (Agro-Geoinformatics), 2013 Second International Conference on
Conference_Location
Fairfax, VA
Type
conf
DOI
10.1109/Argo-Geoinformatics.2013.6621955
Filename
6621955
Link To Document