Site-Specific Fertilizer Nitrogen Management in Less and High N Responsive Basmati Rice Varieties Using Newly Developed PAU-Leaf Colour Chart.

Autor: Varinderpal-Singh, Kunal, Kaur, Janpriya, Bhatt, Rajan, Kaur, Satwinderjit, Dhillon, Buta Singh, Singh, K.B., Singh, Shaminder, Sharma, Seema, Bijay-Singh
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Zdroj: Communications in Soil Science & Plant Analysis; 2023, Vol. 54 Issue 10, p1334-1349, 16p
Abstrakt: Fertilizer nitrogen (N) management in long-grained aromatic basmati rice (Oryza sativa) is critical because both below and above the optimum N application rate adversely affects yield. Multi-location field studies were conducted in northwestern India to formulate a site-specific N management (SSNM) strategy for basmati rice by monitoring the greenness of the fully expanded top leaf of the crop plants using a leaf color chart (PAU-LCC) specially developed at Punjab Agricultural University, Ludhiana. The green colour intensity of the successive panels of PAU-LCC increases with consistent decrease in optical reflectance by 1.6% (at 550 nm wavelength) and thus provides better precision in quantifying leaf colour greenness over the IRRI-LCC (the LCC developed at International Rice Research Institute, Philippines). The threshold leaf greenness at which a variety will respond to fertilizer N was found to be equal to LCC shade 3.5 and 4.0 for less and high N responsive varieties, respectively. Monitoring leaf greenness using LCC at weekly intervals and application of 10 kg N ha−1 whenever leaf greenness was less than the specified threshold level constituted the appropriate SSNM strategy. The SSNM produced grain yield equivalent to soil-test-based fixed N rates but with 20 to 60% less N fertilizer. Significantly higher agronomic (average 40.8 vs. 24.5 kg grain kg−1 N) and recovery (average 76.1 vs. 52.7%) efficiencies of fertilizer N were recorded with SSNM than with soil-test-based fixed fertilizer N rates. The SSNM also reduced N2O and GHG emissions by 20.1 and 23.6% as compared to soil-test-based fertilizer N rates. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index