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Menara Perkebunan
ISSN : 01259318     EISSN : 18583768     DOI : -
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Menara Perkebunan as a communication medium for research in estate crops published articles covering original research result on the pre- and post-harvest biotechnology of estate crops. The contents of the articles should be directed for solving the problems of production and/or processing of estate crops of smallholder, private plantations and state-owned estates, based on the three dedications of plantation. Analyses of innovative research methods and techniques in biotechnology, which are important for advancing agricultural research. Critical scientific reviews of research result in agricultural and estate biotechnology.
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Articles 541 Documents
Identification of metabolites for biomarker of nitrogen and potassium use efficiency in oil palm Setiowati, Retno Diah; Sri Wening; Nuringtyas, Tri Rini; Rahayu, Megayani Sri; Sudarsono, Sudarsono
Menara Perkebunan Vol. 93 No. 1 (2025): 93(1), 2025
Publisher : INDONESIAN OIL PALM RESEARCH INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iribb.jur.mp.v93i1.631

Abstract

Nutrient-use efficiency in oil palm is important for economic and environmental reasons. This research aimed to identify biomarkers to discriminate between tolerant and susceptible oil palms to potassium (K) and nitrogen (N) deficiency. A screening of oil palm materials for N or K use efficiency was conducted using an omission trial experiment, where only targeted nutrient was applied as treatment, while all other nutrients were applied as recommended. The treatment was performed in the main nursery for ten months to identify progenies with contrasting traits. Metabolite analysis was performed to identify specific metabolites as biomarkers for N-efficient and K-efficient palms. Samples taken from the roots of the contrasting progenies were treated with liquid nitrogen prior to grinding into a powder for liquid chromatography-high resolution mass spectrometry (LC-HRMS) analysis. The LC-HRMS analysis showed 277 metabolites from K and N treatments after data trimming, which were then analysed in MetaboAnalyst 6.0 for biomarker identification. The results showed that some metabolites were statistically significant. Metabolites identified in more than one analysis have a higher likelihood of being considered as biomarkers. In this experiment, we compared PLS-DA, sPLS-DA, and Random Forest. However, some identified metabolites were not to occur naturally in the treatment palms. Some amino acids and antioxidants were promising biomarkers to differentiate the N-deficiency-tolerant and K-deficiency-tolerant palms. Thus, the biomarkers facilitate the breeding scheme to create a nutrient-efficient palm planting material.

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