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The Effect of White Rot Fungus (Ganoderma sp) as Decomposers on Composting Using Combination of Cattle Feces and Water Hyacinth (Eichhornia crassipes) as Organic Matter
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In Indonesia, cattle feces (CF) and water hyacinth (WH) plants are abundant but have not been widely revealed. The use of microorganisms as decomposers in the fermentation process has not been widely applied, so researchers are interested in studying further. This study was to evaluate the effect of the combination of CF with WH on composting by applying white-rot fungal (WRF) (Ganoderma sp) microorganism as a decomposer. A number of six types of treatment compared to R1(ratio of CF:WH)(25%:75%)+WRF; R2(ratio of CF:WH)(50%:50%)+WRF; R3(ratio of CF:WH)(75%:25%)+WRF; R4(ratio of CF:WH)(25%:75%) without WRF; R5(ratio of CF:WH)(50%:50%) without WRF; R6(ratio of CF:WH)(25%:75%) without WRF. The results showed that the use of WRF decomposers and organic matter (CF and WH) at different ratios affected the properties of compost such as pH value, C-organic, N-organic, C/N ratio, P2O5 and K2O compounds. The WRF decomposer significantly decreases to the pH value, and the C/N ratio, but increases the value of C-organic, N-organic, P2O5 and K2O. The properties of the compost produced are in accordance with the standards set by the Indonesian National Standard (INS) and the regulation of the Ministry of Agriculture of the Republic of Indonesia. The WRF was needed to consider as a decomposer in producing compost.  Based on the results of the study, it was concluded that the R1(CF: WH)(25%:75%)+WRF) treatment was the best ratio combination to produce compost using WRF (Ganoderma sp) as a decomposer with the best properties.

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Publication Date
Tue Nov 12 2024
Journal Name
جامعة بغداد
مختبر. فطريات 7
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Publication Date
Tue Oct 01 2024
Journal Name
جامعة بغداد
مختبر. فطريات 1
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Publication Date
Tue Jan 14 2025
Journal Name
جامعة بغداد
مختبر. فطريات 15
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Publication Date
Tue Dec 24 2024
Journal Name
جامعة بغداد
مختبر. فطريات 12
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Publication Date
Tue Oct 01 2024
Journal Name
جامعة بغداد
مختبر ..فطريات 1
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Publication Date
Tue Feb 04 2025
Journal Name
جامعة بغداد
مختبر. فطريات 17
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Publication Date
Tue Nov 19 2024
Journal Name
جامعة بغداد
مختبر. فطريات 8
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Publication Date
Tue Oct 15 2024
Journal Name
جامعة بغداد
مختبر فطريات 3
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Publication Date
Wed Sep 14 2016
Journal Name
Journal Of Baghdad College Of Dentistry
The Usefulness of Mandibular Ramus as an Indicator in Sex Differentiation Using 3D Reconstructed Computed Tomography
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Background: Determination of sex from an unknown human bone is an important role in forensic and anthropology field. The mandible is the largest and hardest facial bone, that commonly resist postmortem damage and forms an important source of information about sexual dimorphism. Mandibular ramus can be used to differentiate between sexes and it also expresses strong univariate sexual dimorphism. This study was undertaken to assess the usefulness of mandibular ramus as an aid in sex differentiation using CT scanning among Iraqi population. Materials and methods: 3D reconstructed computed tomography scanning of 140 Iraqi Arab subjects, (7 0 males and 70 females) were analyzed with their age range from 20-60 years old. The linear measurements w

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Publication Date
Wed Jun 01 2022
Journal Name
Baghdad Science Journal
Variable Selection Using aModified Gibbs Sampler Algorithm with Application on Rock Strength Dataset
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Variable selection is an essential and necessary task in the statistical modeling field. Several studies have triedto develop and standardize the process of variable selection, but it isdifficultto do so. The first question a researcher needs to ask himself/herself what are the most significant variables that should be used to describe a given dataset’s response. In thispaper, a new method for variable selection using Gibbs sampler techniqueshas beendeveloped.First, the model is defined, and the posterior distributions for all the parameters are derived.The new variable selection methodis tested usingfour simulation datasets. The new approachiscompared with some existingtechniques: Ordinary Least Squared (OLS), Least Absolute Shrinkage

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