Karthigaa, R. Gowri and Senthil, A. and Ravichandran, V. and Binodh, Asish K. and Kuttimani, R. (2022) Phenotyping Rice (Oryza sativa. L) Genotypes for Nitrogen use Efficiency. International Journal of Environment and Climate Change, 12 (11). pp. 697-706. ISSN 2581-8627
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Abstract
Aim: Global food security has become a serious issue, nitrogen fertilizer use has increased agricultural productivity globally, but at a significant environmental cost. The present study was aimed to identification of rice genotypes from the existing germplasm or development of rice cultivars that can make the best use of N in low nitrogen soils is essential for the sustainability of agriculture
Study Design: The experiment was laid out in split plot design with three nitrogen levels as main plots and twenty five rice genotypes as subplots.
Place of Study: The screening experiment was conducted in December 2021April 2022 at wetland, Tamil Nadu Agricultural University, Coimbatore.
Methodology: Twenty five rice genotypes were cultivated with three nitrogen levels 0% Recommended Dose of Nitrogen (RDN) (T0), 50% RDN (T1), 100% RDN (T2) as control under field conditions, morphological traits such as plant height, leaf area; the number of tillers, total dry weight and leaf nitrogen were recorded along with leaf nitrogen and photosynthetic nitrogen use efficiency (PNUE).Two-way ANOVA and Cluster analysis were used to analyze the data.
Result: The results revealed that among twenty five rice genotypes, G3 recorded the highest photosynthetic nitrogen use efficiency (25.10) followed by G7 (22.62) under 0% RDN (T0). The lowest PNUE was recorded in G11 (5.99) 100% RDN (T2). Across the genotypes G3 and G7 genotypes exhibited the highest NUE.
Conclusion: Observations relies upon that the rice genotype G3 and G7 exhibit high nitrogen use efficiency and G11 shows low nitrogen use efficiency.
Item Type: | Article |
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Subjects: | GO STM Archive > Geological Science |
Depositing User: | Unnamed user with email support@gostmarchive.com |
Date Deposited: | 16 Feb 2023 10:47 |
Last Modified: | 29 Jun 2024 12:19 |
URI: | http://journal.openarchivescholar.com/id/eprint/96 |