Classification, physicochemical, soil fertility, and relationship to Coffee robusta yield in soil map unit selected

Marbun, Posma; Nasutionc, Zulkifli; Hanum, Hamidah; Karim, Abubakar

doi:10.25186/.v15i.1818

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…Luas tanaman untuk budidaya sawi ini adalah 61.047 ha. Namun hal ini masih bisa ditingkatkan hingga 20-40 ton/ha dengan metode perbaikan optimasi pemupukan dan penggunaan lahan yang maksimal (Marbun et al, 2020).…”

Section: Pendahuluanunclassified

“…Apabila diterapkan dengan dosis yang optimal, pupuk nitrogen merupakan sumber unsur hara yang baik untuk tanah dan berpengaruh positif terhadap pertumbuhan, perkembangan dan hasil sayuran. Penelitian sebelumnya oleh Marbun et al (2020), perlakuan 150 kg urea/ha atau 100 kg urea/ha secara statistik berpengaruh nyata terhadap hasil produksi sebesar 878 kg/ha. Penelitian lainnya oleh yaitu perlakuan aplikasi pupuk NPK mengandung unsur N 60 kg/ha, unsur P 13 kg/ha, dan unsur K 17 kg/ha, menunjukkan produksi hasil rata-rata sebesar 968 kg/ha.…”

Section: Pendahuluanunclassified

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Efektivitas pemupukan N, P, K dan Mg atas estimasi kebutuhan unsur hara makro untuk tanaman sawi hijau akuaponik

Hayati,

Majid,

Harahap

2023

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Brassica juncea L. was know as mustard vegetable that has higher an economic value. However, it was a cultivation depend on the estimation of fertilizer application to increase to crop production. This study determine to nutrients obtained the optimal production results. Furthermore, the method used a survey method or qualitative research. Whereas, the conventional planting experimental design with a spacing of 20 × 20 cm per plant in 1 hectare. The percentage of N was calculated using the Kjeldahl method. Then, the compound of P, K, and Mg used a spectrophotometry. The data was analyzed using Microsoft Excel 2019. For parameters observed i.e: the wet weight (gr) and dry weight (gr), dry basis or Md (%), percentage from N, P, K, and Mg. Needed for total fertilizer to 10 tons/ha until 40 tons/ha. The results showed that fertilizer N was found in 3.86%, P was calculate in 0.72%, K was obtain in 3.83% and Mg was found in 0.37%. Furthermore, it was the average weight of Brassica juncea L. was 91.01 gr, wherein the dry weight was found in 6.72 gr. The dry basis Md was 12.54%. Finally, the fertilizer recommendations for Brassica juncea L. plants to optimal results up to 40 tons/ha using the fertilizer 5.45 grams. In this case, to the total urea in fertilization was 2.5 grams, and SP-36 fertilizer was 0.6 grams. Then, the KCl fertilizer was 1.8 grams, and dolomite of 0.6 grams with a recommended planting doses to aquaphonic system.

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Section: Pendahuluanunclassified

Efektivitas pemupukan N, P, K dan Mg atas estimasi kebutuhan unsur hara makro untuk tanaman sawi hijau akuaponik

Hayati,

Majid,

Harahap

2023

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“…Numerous researchers have studied soil fertility using a method involving soil analysis and calculating soil fertility index. The soil fertility index is most commonly calculated using soil chemical indicators such as pH, organic C, organic matter, total N, P, K, available N, P, K, CEC, and base saturation [3][4][5][6]. The evaluation of the soil fertility index has not considered the biological properties of the soil that can affect soil fertility.…”

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confidence: 99%

A Modified Soil Fertility Assessment Method Using Earthworm Density and Microbial Biomass C at Various Land Uses in Wonogiri, Indonesia

Dewi¹,

Puspaningrum²,

Tinuntun³

et al. 2022

IJDNE

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Soil fertility is the integrative effect of chemical, physical, and biological soil properties. A modified soil fertility assessment method that adds biological indicators is essential since this indicator is sensitive to dynamic environmental changes and can better represent the reality of soil fertility compared to the conventional method, which only considers chemical soil properties. The research aims to compare the modified and conventional methods in assessing the soil fertility index at various land uses, namely gardens, paddy fields, and moorland, in the Girimarto district, Wonogiri, Indonesia. The collection of soil samples used purposive sampling with three repetitions on 12 land mapping units (LMUs) obtained from an overlay of land use maps, soil type maps, slope gradient maps, and rainfall maps. Soil fertility index (SFI) assessment is based on the Minimum Soil Fertility Indicators (MSFI), which are selected from Pearson correlation, PCA, weight, and score and followed by stepwise regression analysis. The research showed that the modified method represents the soil fertility level better than the conventional one. The soil fertility index on three land uses using the modified method is lower than the conventional method, i.e., between 0.33 to 0.40 and 0.55 to 0.72, respectively. The modified method is more sensitive to dynamic environmental changes due to the contribution of soil biological indicators to the SFI value. Therefore, the biological indicators can represent soil fertility levels closer to reality. Future research needs to validate the modified method in different soil types, land uses, and areas.

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Classification, physicochemical, soil fertility, and relationship to Coffee robusta yield in soil map unit selected

Cited by 2 publications

References 13 publications

Efektivitas pemupukan N, P, K dan Mg atas estimasi kebutuhan unsur hara makro untuk tanaman sawi hijau akuaponik

Efektivitas pemupukan N, P, K dan Mg atas estimasi kebutuhan unsur hara makro untuk tanaman sawi hijau akuaponik

A Modified Soil Fertility Assessment Method Using Earthworm Density and Microbial Biomass C at Various Land Uses in Wonogiri, Indonesia

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