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Different Leaf Sensing Approaches for the Estimation of Winter Wheat Nitrogen Status
1
Y. Miao,
1
G. Feng,
1
S. Yue,
2
F. Li,
1
X. Gao,
1
B. Liu
1. China Agricultural University
2. Inner Mongolia Agricultural University
Nondestructive real time diagnosis of crop N status is crucial to the development of precision nitrogen (N) management strategies. Chlorophyll meter has been a popular sensor for such purposes and different approaches to use this sensor has been developed using a threshold value, nitrogen sufficiency index (NSI) or ratio of chlorophyll meter readings at different leaf positions.
Recently, a new fluorescence leaf sensor, Dualex 4, has been developed to estimate both
leaf
Chlorophyll
(Chl) and polyphenolics (Phen) contents
, and a nitrogen balance index (NBI) can be calculated based on these two parameters, and it is hypothesized to be more sensitive to crop nitrogen status. The objective of this study is to
evaluate different chlorophyll meter–based methods and Dualex 4 sensor for diagnosing winter wheat N status.
Nitrogen rate experiments were conducted at Quzhou Experimental Station of China Agricultural University (CAU) 2010 and 2011. The chlorophyll meter readings of the first and second fully expended leaf were collected at Feekes growth stage 6 and 10.5 in 2010 and 2011 and the Dualex reading of the first fully expended leaf were collected at Feekes growth stage 6 and 10.5 in 2011.
Preliminary analysis indicated that the Dualex readings were highly related to SPAD meter readings. The N sufficiency index calculated with SPAD meter readings (NSI-SPAD) and NBI (NSI-NBI) were strongly
correlated with plant total N concentration and nitrogen nutrition index (NNI). The ratio of SPAD
meter readings for the first fully expanded leaf to the second fully expanded leaf (RSPAD
) was poorly related to plant total N concentration and NNI, and is not a suitable approach to estimate N status of winter wheat.
Keyword
: Chlorophyll meter, Dualex 4, Nitrogen sufficiency index, Nitrogen balance index
Y. Miao
G. Feng
S. Yue
F. Li
X. Gao
B. Liu
Proximal Sensing in Precision Agriculture
Poster
2012
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