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Fertilizer Nitrogen Management in Irrigated Transplanted Rice Using Dynamic Threshold Greenness of Leaves

Authors :
Ajay Kumar
R. K. Gupta
Varinderpal-Singh
Monika Vashistha
Yadvinder-Singh
Bijay-Singh
Jagmohan-Singh
H. S. Thind
Source :
Agricultural Research. 5:174-181
Publication Year :
2016
Publisher :
Springer Science and Business Media LLC, 2016.

Abstract

Application of fertilizer N doses to rice (Oryza sativa L.) whenever leaf greenness as measured by chlorophyll meter (SPAD) and LCC falls below a fixed threshold is being extensively used for site-specific management of fertilizer N. As fixed threshold greenness varies with regions, rice cultivars and seasons, a dynamic threshold greenness concept in the form of SPAD-based sufficiency index has been introduced. For rice, the dynamic threshold greenness is defined as 90 % of the SPAD meter reading of leaves in an Nrich or over fertilized strip. In the present investigation, four field experiments with six cultivars were conducted at two locations to test fertilizer N management following two variants of the LCC-based dynamic threshold greenness concept—the leaf greenness one or 0.5 unit less than the LCC reading of the Nrich strip (LCC-Nrich), vis-a-vis SPAD meter-based sufficiency index approach and blanket recommendation of 120 kg N ha−1 applied in three equal split doses. The fertilizer N management following threshold greenness of one unit less than the LCC-Nrich resulted in total N application of only 60 kg ha−1 and thus sub-optimum rice grain yields. The grain yield of rice, N uptake and fertilizer N use efficiency measured with N management following threshold leaf greenness of 0.5 units less than LCC-Nrich were at par with the SPAD meter-based 90 % sufficiency index approach and were better than the blanket fertilizer recommendation in the region. The LCC-based dynamic threshold greenness strategy holds promise to efficiently manage fertilizer N rice as it can effectively take care of variations in the rice cultivars, locations and seasons.

Details

ISSN :
22497218 and 2249720X
Volume :
5
Database :
OpenAIRE
Journal :
Agricultural Research
Accession number :
edsair.doi...........7a5bc33bf34bcbc541aca76c6cb3bb7b