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All Journal Journal of Tropical Soils Agriprima : Journal of Applied Agricultural Sciences
Qoid Luqmanul Hakim
University of Brawijaya
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Environmental Science

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Response Macronutrient Content of Saline-Resistant Paddy to the Saline Source Distance Aditya Nugraha Putra; Martiana Adelyanti; Albert Fernando Sitorus; Qoid Luqmanul Hakim; Melati Julia Rahma; Istika Nita; Sudarto Sudarto; Alia Fibrianingtyas
JOURNAL OF TROPICAL SOILS Vol 26, No 2: May 2021
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2021.v26i2.63-74

Abstract

The impact of salinity on paddy production in Indonesia was pronounced with an average decline of 6.83% (2015-2019). Salinity interferes with macronutrients' absorption into plants, causing stunted growth (salinity contributed to a 42% decrease in paddy production). One solution to solve the salinity problem in paddy is to use saline varieties. There were very few studies on macronutrient content analysis in resistant varieties response to the salinity source's distance.  This research conducted in Jabon Sidoarjo, Indonesia, aims to see the macronutrient response and plant growth to the saline source's distance. This research was conducted in Jabon District, Sidoarjo Regency, using two transects with a length of 2 km and 3.4 km, respectively. The distance between the research location and the salinity source was 10.65 km.  The survey used a free grid to adjust paddy fields' location and the presence of resistant varieties. The results showed that the closer to the salinity source, the salinity indicators consisting of Electrical Conductivity, Sodium Adsorption Ratio, Exchangeable Sodium Percentage, and pH H2O would increase. The increase in salinity then affects the decrease in macronutrients (Nitrogen, Phosphor, and Kalium) in plants. However, tillers and leaves (length and number) were unaffected by high salinity levels in the soil.
Equation to Predict Paddy Biomass Macronutrient Availability in Saline Soil Using Soil-Vegetation Indices from Multispectral UAV Aditya Putra; Qoid Luqmanul Hakim; Alberth Fernando Sitorus; Martiana Adelyanti; Istika Nita; Sudarto; Michelle Talisia Sugiarto; Novandi Rizky Prasetya
Agriprima : Journal of Applied Agricultural Sciences Vol 10 No 1 (2026): MARCH
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/agriprima.v10i1.784

Abstract

The average paddy production in Indonesia has decreased by -6,83% in the last five years (2015-2019), and salinity is the main factor causing the problem with an effect of 42% compared to climate change (21%) and drought (9%). Salinity will inhibit the availability of macronutrients in rice biomass, which must be detected quickly to avoid crop failure. This study aimed to obtain a formula equation to quickly estimate the macronutrient content in paddy biomass due to salinity. The formula equation was formed based on an algorithm resulting from the transformation of the SR, NGRDI, NDVI, TNDVI, and GNDVI index from the multispectral UAV and Nitrogen (N), Phosphorus (P), and Potassium (K) content in paddy biomass in saline soil. When the salinity source's distance gets closer, the macronutrient content decreases, and the transformation index value increases. The SR index is the most sensitive index to macronutrient content, indicated by the highest correlation value compared to other indices. Formula to predict macronutrient content was N: -0.04149 (SR) + 1.38314, P: -0.07243 (SR) + 0.61766, and K: -0.7059 (SR) + 5.3279. There was no difference between the estimation results and the macronutrient content from the laboratory analysis.
Co-Authors Aditya Nugraha Putra Aditya Putra Albert Fernando Sitorus Alberth Fernando Sitorus Alia Fibrianingtyas Istika Nita Martiana Adelyanti Melati Julia Rahma Michelle Talisia Sugiarto Novandi Rizky Prasetya Sudarto Sudarto Sudarto