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Current IssueEditorial BoardOnline First Articles
Indian Journal of
Agricultural Research
Print ISSN: 0367-8245
Online ISSN: 0976-058X
NASS Rating
5.60
SJR
0.217
CiteScore
0.595

Chief Editor:
V. Geethalakshmi
Tamil Nadu Agricultural University Coimbatore, INDIA
Frequency:Monthly
Indexing:
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Go...

Research Article

Indian Journal of Agricultural Research, volume 53 issue 3 (june 2019) : 333-337

Evaluation of the Use of SPAD-502 Chlorophyll meter for non-destructive estimation of nitrogen status of tea leaf (Camellia sinensis L. Kuntze)

Wahono, D. Indradewa, B.H. Sunarminto, E. Haryono, D. Prajitno
1Department of Agrotechnology, Faculty of Agriculture and Animal Husbandry, Univeristy of Muhammadiyah Malang, Malang, Jawa Timur. 65146, Indonesia.
Cite article:- Wahono, Indradewa D., Sunarminto B.H., Haryono E., Prajitno D. (2019). Evaluation of the Use of SPAD-502 Chlorophyll meter for non-destructive estimation of nitrogen status of tea leaf (Camellia sinensis L. Kuntze). Indian Journal of Agricultural Research. 53(3): 333-337. doi: 10.18805/IJARe.A-394.

ABSTRACT

Efficient nutrient management requires estimating factual fertilizer requirements. This study was aimed to test the use of chlorophyll meter SPAD-502 to estimate the nitrogen status of tea maintenance leaf. The test was carried out by correlating the SPAD readings with destructively measured leaf nitrogen content using samples oGbtained from nitrogen fertilizer dosage experiments. Observations were made at 15, 32, 45 and 62 days after the application of N fertilizer treatments. The results showed that the SPAD readings and total nitrogen leaf content correlated significantly with the time of observation. Estimation of leaf N content based on the SPAD readings follows linear line equation y = 0.0311x + 1.5856 with coefficient determinant (R²) = 0.62 significantly at P<0.01. It was concluded that SPAD-502 chlorophyll meter is reliable to assess the leaf nitrogen content of tea maintenance leaf and is adequate to predict future nitrogen fertilizer requirements.

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