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Estimation of Nitrogen Nutrition Index in Chrysanthemum Using Chlorophyll Meter Readings by Jingshan Lu; Weijie Nie; Jiancheng Song; Qingling Zhan; Mengqi Wang; Fadi Chen; Weimin Fang; Sumei Chen; Fei Zhang; Shuang Zhao; Zhiyong Guan is a Engineering article available to read on EtoBox.

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The nitrogen nutrition index (NNI) plays a critical role in improving crop nitrogen (N) diagnosis and predicting crop yield. Proximal sensing chlorophyll meters (CMs) have been widely used in precision agriculture, but few studies have focused on its utilization for estimating the NNI of chrysanthemum (Dendranthema morifolium Ramat.). This study aimed to develop a model for NNI estimation in chrysanthemums using CM readings. Field experiments were conducted with five N fertilization treatments during two growing seasons (in 2019 and 2020). Chrysanthemum canopies were sampled across multiple days after planting (DAP) to determine plant N concentrations (PNC) and plant dry matter (PDM). CM measurements were recorded at defined DAP at different leaf layer positions (L1, L2, and L3 represent leaves that were 1/3, 1/2, and 2/3 apart from the top of the plant, respectively), and the normalized CM index (NCMI1, NCMI2, and NCMI3) was calculated. All PNC and PDM data from the two seasons were then applied to fit the critical N (Nc) dilution curve using a Bayesian statistical model to estimate the NNI. Regression models were established to predict chrysanthemum NNI using CM readings and the

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Author

Jingshan Lu; Weijie Nie; Jiancheng Song; Qingling Zhan; Mengqi Wang; Fadi Chen; Weimin Fang; Sumei Chen; Fei Zhang; Shuang Zhao; Zhiyong Guan

Publisher

Elsevier BV

Published

2022

Language

EN

Field

Engineering (Physical Sciences)