Evidence map›Paper›PMID 41927910›Full record

ArticleScientific reports2026

Key soil fertility determinants influencing rice yield in Malaysian paddy soils.

Nor Monica Ahmad, Nor'Aishah Hasan, Nor Farah Nadirah Ahmad Noruddin, Muhammad Nabil Haqiem Hisham, Amirul Adli Abd Aziz, Siti Noor Dina Ahmad, Noraziyah Abd Aziz Shamsuddin, Sobri Hussein, Mustakizah Binti Mansor, Mohd Rafii Yusop and 1 more

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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Nor Monica AhmadSchool of Chemistry and Environment, Faculty of Applied Sciences, Universiti Teknologi MARA, Cawangan Negeri Sembilan, Kampus Kuala Pilah, 72000, Kuala Pilah, Malaysia.
Nor'Aishah HasanSchool of Biology, Faculty of Applied Sciences, Universiti Teknologi MARA, Cawangan Negeri Sembilan, Kampus Kuala Pilah, 72000, Kuala Pilah, Malaysia. aishahnh@uitm.edu.my.
Nor Farah Nadirah Ahmad NoruddinSchool of Biology, Faculty of Applied Sciences, Universiti Teknologi MARA, Cawangan Negeri Sembilan, Kampus Kuala Pilah, 72000, Kuala Pilah, Malaysia.
Muhammad Nabil Haqiem HishamSchool of Biology, Faculty of Applied Sciences, Universiti Teknologi MARA, Cawangan Negeri Sembilan, Kampus Kuala Pilah, 72000, Kuala Pilah, Malaysia.
Amirul Adli Abd AzizSchool of Biology, Faculty of Applied Sciences, Universiti Teknologi MARA, Cawangan Negeri Sembilan, Kampus Kuala Pilah, 72000, Kuala Pilah, Malaysia.
Siti Noor Dina AhmadFaculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Cawangan Negeri Sembilan, Kampus Kuala Pilah, 72000, Kuala Pilah, Malaysia.
Noraziyah Abd Aziz ShamsuddinDepartment of Biological Sciences and Biotechnology, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia.
Sobri HusseinAgrotechnology and Biosciences Division, Malaysian Nuclear Agency, 43000, Bangi, Kajang , Selangor, Malaysia.
Mustakizah Binti MansorCrop Industry Development Division, Sendayan Agricultural Centre, Seremban, Negeri Sembilan, Malaysia.
Mohd Rafii YusopPertama Padi (Malaysia) Sdn Bhd, Lot 2973, Batu 8 3/4, Jalan Datuk Kumbar, Kampung Padang, Mukim Tajar, 06500, Langgar, Kedah, Malaysia.
Abdul Rahim HarunPertama Padi (Malaysia) Sdn Bhd, Lot 2973, Batu 8 3/4, Jalan Datuk Kumbar, Kampung Padang, Mukim Tajar, 06500, Langgar, Kedah, Malaysia.

Funding

Kementerian Sains, Teknologi dan Inovasi 600-RMC MOSTI SRF 5/3 001/2024
6 · The paper itself

Abstract

Soil fertility plays a crucial role in ensuring both the quality and quantity of agricultural crop production. However, determining the optimal parameters for regulating rice growth to enhance yield remains challenging, as the correlation between soil factors and rice yield has not been quantitatively assessed. The present work will examine the relationship between soil fertility and rice yield in Malaysia. A Pearson correlation matrix heatmap was employed to quantitatively evaluate the relationships between soil chemical properties and rice yield of two paddy seed varieties, UiTM 1 and UiTM 5, cultivated across three regions in Perak, Kedah, and Johor. Furthermore, Principal Component Analysis (PCA) was utilised to elucidate the multivariate structure of soil fertility data and identify the dominant factors influencing yield variance. The results revealed that soil pH exhibited a stronger positive correlation with the yield of UiTM 5 (r = 0.66, p < 0.01) compared to UiTM 1 (r = 0.45, p > 0.05). In contrast, aluminium showed a stronger negative correlation with UiTM 5 (r = - 0.87, p < 0.01) than with UiTM 1 (r = - 0.78, p < 0.01), indicating a greater risk of aluminium toxicity in UiTM 5. The PCA identified two main components accounting for 78.2% of the total variance, suggesting that rice yield is strongly associated by the Soil Acidity and Cation Status Factor (PC2) rather than nitrogenous organic fertility alone. Among the five paddy fields studied, location A9 recorded the highest rice yields, with 9.29 mt/ha for UiTM 1 and 9.11 mt/ha for UiTM 5, which aligned with the optimal vector space for pH and cation exchange capacity in the PCA biplot. This superior performance may be attributed to the soil fertility at A9, which falls within the optimal critical range for rice cultivation. The integration of correlation and multivariate analyses demonstrates that managing soil acidity and aluminium toxicity is a critical consideration for optimising productivity. Understanding these relationships provides valuable insights for improving soil management practices and enhancing rice production sustainability in Malaysia.

Indexed as

OryzaSoilAgricultureAluminumHydrogen-Ion ConcentrationMalaysiaPrincipal Component AnalysisAluminumSoilPaddy fieldRiceRice productivitySoil fertility

Identifiers

PMID41927910
PMCPMC13195129

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.