Determination of Critical Nitrogen Dilution Curve Based on Canopy Cover Data for Summer Maize. Issue 17 (24th September 2020)

• Record Type: Journal Article
• Authors: Ranjbar, Arash; Rahimikhoob, Ali; Ebrahimian, Hamed; Varavipour, Maryam
• Is Part Of: Communications in soil science and plant analysis. Volume 51:Issue 17(2020)
• Page Start: 2244
• Page End: 2256
• Publication Date: 2020-09-24
• Subjects: Canopy cover -- canopeo -- dry matter -- nitrogen management; Soil science -- Periodicals; Plants -- Chemical analysis -- Periodicals; Agricultural chemistry -- Periodicals; 631.405
• DOI: 10.1080/00103624.2020.1822376
• Languages: English
• ISSNs: 0010-3624

Abstract

ABSTRACT: Estimation of canopy cover (CC) can be replaced with measurement of dry matter (DM) during the growing season, which leads to saving cost and time. A variety of software programs, such as Canopeo, have recently been launched for estimating CC by processing digital images. The main objective of the present study was to validate whether the CC estimated by Canopeo could be used to determine the critical nitrogen dilution curve (CNDC) of maize. DM and critical nitrogen concentration (%Nc) of summer maize were measured during the growing seasons in 2015 and 2016. On the same dates, CC was estimated by digital images and Canopeo. The CNDC based on DM (Nc, DM ) was accurately described by the equation Nc, DM = 2.9DM −0.27 . Furthermore, an exponential relationship was observed between CC and DM (R 2 = 0.934) that resulted in the estimation of DM based on CC (DMcc ). A new CNDC based on CC was determined (Nc, CC = 4e −1.17CC ) by replacing DMcc in the Nc, DM which has an acceptable accuracy in estimating Nitrogen Nutrition Index. These results demonstrate that Canopeo can be applied as a useful tool to develop CNDC and Nitrogen management for different varieties of plants under various climatic conditions.