Would fertilization history render the soil microbial communities and their activities more resistant to rainfall fluctuations?

Kátai, János; Zsuposné, Ágnes Oláh; Tállai, Magdolna; Alshaal, Tarek

doi:10.1016/j.ecoenv.2020.110803

Cited by 15 publications

(8 citation statements)

References 34 publications

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“…Furthermore, the solubility of Al and Fe is highest in acidic to slightly acidic conditions, causing the solubility of some nutrients such as P to decrease, in some plant varieties, it can cause Al and Fe poisoning. The decrease in pH at certain soil depths is caused by the dominance of secondary minerals such as acidic Fe, this is exacerbated by the reduced amount of organic matter [12]. pH is a significant indicator of nutrient availability, for arabica coffee, the recommended pH ranges from 5.6 to 6.6.…”

Section: Resultsmentioning

confidence: 99%

Study the Relationship of Soil Fertility with Land Suitability For Arabica Coffee (Coffea arabica L.) Development in Bandar Sub-district, Pacitan District

Irawan

Antriyandarti

Suprihatin

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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This study aims to assess the soil fertility index (SFI) under the shade of coffee and its relationship with land suitability to provide recommendations for improving arabica coffee productivity. This research was conducted in Bandar Sub-district, Pacitan District, East Java, using an exploratory, descriptive survey method. Land Map Units (LMU) are determined by overlaying soil type, land use, slope, and rainfall maps. Determination of survey points using purposive sampling with 10 sample points and three replications. The samples were analyzed in the laboratory to determine the soil’s physical, chemical, and biological characteristics. Soil quality assessment was carried out using Principal Component Analysis (PCA) to obtain Minimum Data Sets (MDS). Land suitability was evaluated through the matching method with the conditions for growing arabica coffee. The analysis showed that the soil fetility index had a significant positive correlation with land suitability (r=0.806, p=0.002). The limiting indicators based on the correlation test were SOC, pH, available P, and Base Saturation. Suggested improvement recommendations include applying land cover crops and balanced P fertilization.

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Section: Resultsmentioning

confidence: 99%

Study the Relationship of Soil Fertility with Land Suitability For Arabica Coffee (Coffea arabica L.) Development in Bandar Sub-district, Pacitan District

Irawan

Antriyandarti

Suprihatin

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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show abstract

“…Perhaps the key role in the other variants was played by the applied supplemental mineral fertilization, which helped stimulate the decomposition of soil organic matter. The available literature shows that low doses of this type of fertilization have a beneficial effect on the microbiological and agrochemical properties of the soil, as they accelerate decomposition and increase the amount of soil organic matter [58][59][60]. Hernandez et al [56] point out that combined organic and mineral fertilization is a good substitute for mineral nitrogen fertilization.…”

Section: Discussionmentioning

confidence: 99%

Effects of Agricultural Management of Spent Mushroom Waste on Phytotoxicity and Microbiological Transformations of C, P, and S in Soil and Their Consequences for the Greenhouse Effect

Kwiatkowska

Joniec

2022

IJERPH

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The huge volumes of currently generated agricultural waste pose a challenge to the economy of the 21st century. One of the directions for their reuse may be as fertilizer. Spent mushroom substrate (SMS) could become an alternative to manure (M). A three-year field experiment was carried out, in which the purpose was to test and compare the effect of SMS alone, as well as in multiple variants with mineral fertilization, and in manure with a variety of soil quality indices—such as enzymatic activity, soil phytotoxicity, and greenhouse gas emissions, i.e., CO2. The use of SMS resulted in significant stimulation of respiratory and dehydrogenase activity. Inhibition of acid phosphatase and arylsulfatase activity via SMS was recorded. SMS showed varying effects on soil phytotoxicity, dependent on time. A positive effect was noted for the growth index (GI), while inhibition of root growth was observed in the first two years of the experiment. The effect of M on soil respiratory and dehydrogenase activity was significantly weaker compared to SMS. Therefore, M is a safer fertilizer as it does not cause a significant persistent increase in CO2 emissions. Changes in the phytotoxicity parameters of the soil fertilized with manure, however, showed a similar trend as in the soil fertilized with SMS.

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“…Moreover, [7] introduces a novel metric for measuring "soil health and quality" that involves refining soil health. The aim of [8] is to investigate how soil populations and functions change in response to long-term treatment and precipitation variations and to determine whether the water resistance of soil microorganisms is influenced by cultivation history. In [13], agricultural yield is predicted based on rainfall levels.…”

Section: Literature Surveymentioning

confidence: 99%

Smart Use of Fertilizer in Agriculture Using Machine Learning

2023

IRJMETS

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Farmers typically have limited control over fertilizer use, and competent guidance is needed for them to achieve higher yields while reducing fertilizer loss. The amount of rainfall after each fertilizer application is linked to nutrient loss, with moderate rainfall at the right time being beneficial for nutrient penetration into the soil's rooting zone and dissolution of dry fertilizer. However, excessive rainfall can increase the risk of nutrient runoff and leaching, affecting essential nutrients such as nitrogen (N), phosphorus (P), potassium (K), manganese (Mn), and boron (B) present in the soil. To address this, this study proposes an updated version of the random forest algorithm based on time-series data, to predict the required amount of nutrients for various crops by analyzing rainfall patterns and crop fertility. The method suggested in this study is useful for improving soil fertility by providing recommendations for optimal nutrient conditions for crop growth and reducing the potential for leaching and runoff.

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Would fertilization history render the soil microbial communities and their activities more resistant to rainfall fluctuations?

Cited by 15 publications

References 34 publications

Study the Relationship of Soil Fertility with Land Suitability For Arabica Coffee (Coffea arabica L.) Development in Bandar Sub-district, Pacitan District

Study the Relationship of Soil Fertility with Land Suitability For Arabica Coffee (Coffea arabica L.) Development in Bandar Sub-district, Pacitan District

Effects of Agricultural Management of Spent Mushroom Waste on Phytotoxicity and Microbiological Transformations of C, P, and S in Soil and Their Consequences for the Greenhouse Effect

Smart Use of Fertilizer in Agriculture Using Machine Learning

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