TY - GEN
T1 - Evaluating different methods of using chlorophyll meter for diagnosing nitrogen status of summer maize
AU - Yu, Weifeng
AU - Miao, Yuxin
AU - Feng, Guohui
AU - Yue, Shanchao
AU - Liu, Bin
PY - 2012
Y1 - 2012
N2 - Precision nitrogen (N) management has a great potential to improve N use efficiency. It will require timely and efficient diagnosis of crop N status. Chlorophyll meter sensor is one of the commonly used diagnostic tools for crop nitrogen status, and different methods have been developed, including nitrogen sufficiency index, and ratio of chlorophyll meter values at different leaf positions. Up to date, no study has compared these two different methods. Therefore, the objective of this study is to evaluate these two different methods to identify a suitable method for diagnosing N status of summer maize in North China Plain. A N rate experiment was conducted in 2009 and 2010 at the Quzhou Experiment Station of China Agriculture University in Hebei Province of North China Plain. A randomized complete block design was used with five treatments and four replications. Chlorophyll meter values (CMV) were taken from the top first to third fully expanded leaves of 30 summer maize plants in each plot at growth stages V6, V12, VT in 2009 and V6, VT in 2010. On the same day, plant samples were collected for determination of shoot biomass and N concentration using the Kjeldahl method. The results indicated that the N sufficiency index (NSI) was significantly correlated to N nutrition index (NNI), and it is a suitable indicator of N status of summer maize. Using a critical NSI threshold value of 97%, we achieved an average accuracy of 86% in diagnosing N status of summer maize using the top 2 fully expanded leaf. This approach can eliminate the impact of growth stages, seasonal variation, variety, stress and other factors. The ratio of chlorophyll meter values is not a suitable method for summer maize N status diagnosis. More studies are needed to verify these results.
AB - Precision nitrogen (N) management has a great potential to improve N use efficiency. It will require timely and efficient diagnosis of crop N status. Chlorophyll meter sensor is one of the commonly used diagnostic tools for crop nitrogen status, and different methods have been developed, including nitrogen sufficiency index, and ratio of chlorophyll meter values at different leaf positions. Up to date, no study has compared these two different methods. Therefore, the objective of this study is to evaluate these two different methods to identify a suitable method for diagnosing N status of summer maize in North China Plain. A N rate experiment was conducted in 2009 and 2010 at the Quzhou Experiment Station of China Agriculture University in Hebei Province of North China Plain. A randomized complete block design was used with five treatments and four replications. Chlorophyll meter values (CMV) were taken from the top first to third fully expanded leaves of 30 summer maize plants in each plot at growth stages V6, V12, VT in 2009 and V6, VT in 2010. On the same day, plant samples were collected for determination of shoot biomass and N concentration using the Kjeldahl method. The results indicated that the N sufficiency index (NSI) was significantly correlated to N nutrition index (NNI), and it is a suitable indicator of N status of summer maize. Using a critical NSI threshold value of 97%, we achieved an average accuracy of 86% in diagnosing N status of summer maize using the top 2 fully expanded leaf. This approach can eliminate the impact of growth stages, seasonal variation, variety, stress and other factors. The ratio of chlorophyll meter values is not a suitable method for summer maize N status diagnosis. More studies are needed to verify these results.
KW - Summer maize
KW - chlorophyll meter
KW - nitrogen nutrition index
KW - nitrogen status diagnosis
KW - nitrogen sufficiency Index
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U2 - 10.1109/Agro-Geoinformatics.2012.6311633
DO - 10.1109/Agro-Geoinformatics.2012.6311633
M3 - Conference contribution
AN - SCOPUS:84869481513
SN - 9781467324953
T3 - 2012 1st International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2012
SP - 174
EP - 177
BT - 2012 1st International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2012
T2 - 1st International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2012
Y2 - 2 August 2012 through 4 August 2012
ER -