scholarly journals Model Simulasi Nitrogen Pada Tanaman Tebu (Saccharum officinarum L.)

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Okta Nindita Priambodo
Keyword(s):  
Saccharum Officinarum ◽  
Input Model

Tanaman tebu (Saccharum officinarum L.) merupakan komoditas yang mempunyai nilai ekonomis yang tinggi di Indonesia. Proses yang terjadi pada tanaman tebu dapat disederhanakan melalui model simulasi. Model simulasi digunakan untuk melihat pengaruh unsur cuaca dan pupuk terhadap perkembangan, pertumbuhan, dan poduktivitas tanaman. Dalam pemupukan yang perlu diperhatikan adalah efisiensi pemupukan. Kekurangan nitrogen akan menyebabkan tumbuhan tidak tumbuh secara optimum, sedangkan kelebihan nitrogen selain menghambat pertumbuhan tanaman juga akan menimbulkan pencemaran terhadap lingkungan. Jika nitrogen yang diserap dari tanah ke tanaman jumlahnya lebih kecil dari pada jumlah kebutuhan nitrogen tanamannya maka sebaiknya tanaman tersebut ditambahkan unsur hara nitrogen. Tahapan kegiatan penelitian terdiri atas 4 tahap yaitu penyusunan konsep model, penentuan nilai peubah dan parameter, input model, penyusunan model simulasi. Interaksi unsur cuaca yaitu curah hujan sangat menetukan kandungan air tanah yang yang berkaitan erat dengan proses mineralisasi (amonifikasi dan nitrifikasi) yang pada akhirnya akan mempengaruhi hasil produksi tanaman tebu. Curah hujan merupakan merupakan faktor yang mempengaruhi perubahan nitrogen dalam tanah. Model simulasi nitrogen ini dapat digunakan untuk menjelaskan proses perubahan nitrogen pada tanah dan tanaman tebu pada tingkat satu kali pemupukan standar. Pada tingkat pemupukan dua kali standar, model tidak dapat digunakan karena model tidak menjelaskan keseluruhan proses yang mempengaruhi.

ANALISIS KESESUAIAN LAHAN DAN EVALUASI JENIS TANAH DALAM BUDIDAYA TANAMAN TEBU UNTUK PENGEMBANGAN DAERAH KABUPATEN TEGAL

2013 ◽  
Vol 13 (2) ◽  
Author(s):  
Daru Mulyono
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Spatial Analysis ◽  
Geographical Information System ◽  
Plant Productivity ◽  
Saccharum Officinarum ◽  
Geographical Information ◽  
Sugarcane Plant ◽  
Plant Cultivation ◽  
Suitability Map

The objectives of the research were to make land suitability map for sugarcane plant (Saccharum officinarum), to give recommendation of location including area for sugarcane plant cultivation and to increase sugarcane plant productivity. The research used maps overlay and Geographical Information System (GIS) which used Arch-View Spatial Analysis version 2,0 A in Remote Sensing Laboratory, Agency for the Assessment and Application of Technology (BPPT), Jakarta. The research was carried out in Tegal Regency starting from June to October 2004.The results of the research showed that the suitable, conditionally suitable, and not suitable land for sugarcane cultivation in Tegal Regency reached to a high of 20,227 ha, 144 ha, and 81,599 ha respectively. There were six most dominant kind of soil: alluvial (32,735 ha), grumosol 5,760 ha), mediteran (17,067 ha), latosol   (18,595 ha), glei humus (596 ha), and regosol (22,721 ha).

Authenticity of sugar – Identification of plant source and determination of geographical origin of sucrose

2015 ◽  
pp. 40-43 ◽  
Author(s):  
Andreas G. Degenhardt
Keyword(s):  
Metabolic Pathways ◽  
Isotope Ratio ◽  
Geographical Origin ◽  
Hydrological Cycle ◽  
Isotope Ratios ◽  
Saccharum Officinarum ◽  
Mass Spectrometric ◽  
C3 And C4 Plants ◽  
Plant Source

The isotope ratios of water, organic matter and micronutrients from food are dependent on the circumstances and sites of their origin and production. Analytical methods, based on mass spectrometry, are established for routine determination of isotopes. Differentiation between metabolic pathways of C3 and C4 plants is realizable by determination 13C/12C ratios which can distinguish and identify sucrose from pure beet (Beta vulgaris) and pure cane (Saccharum officinarum). Influenced by the worldwide hydrological cycle the isotope ratios of 2H/1H and 18O/16O vary systematically, the variations give information about geographical origin. The exemplarily determination of authenticity is demonstrated by using mass spectrometric isotope ratio evaluation for identification of plant source and geographical origin with the help of selected sugar samples with known origin.

Authenticity of speciality sugars – Determination of carbohydrate source and geographical origin of invert sugar syrup and burnt sugar syrup

2017 ◽  
pp. 87-91
Author(s):  
Andreas G. Degenhardt ◽  
Elke Jansen ◽  
Timo, J. Koch
Keyword(s):  
Geographical Origin ◽  
Hydrological Cycle ◽  
Isotope Ratios ◽  
Saccharum Officinarum ◽  
Invert Sugar ◽  
C4 Plants ◽  
Yeast Fermentation ◽  
Carbohydrate Source ◽  
Sugar Syrup

Modern instrumental analytical methods for the determination of 13C/12C ratios are established to differentiate between metabolic products of C3 and C4 plants. Differentiation and identification of sucrose from pure beet (Beta vulgaris) and pure cane (Saccharum officinarum) are possible without doubt. Influenced by the worldwide hydrological cycle the determination of the isotope ratios of 2H/1H and 18O/16O as well as their variations provide information about geographical origin. Using samples of selected crystal cane sugar (CCS) with known origin, invert sugar syrups (ISS) as well as burnt sugar syrups (BSS) produced therefrom, the authenticity was determined. The speciality sugars ISS and BSS which were made from CCS could be identified as carbohydrates of C4 plants by using 13C/12C Isotope-Ratio Mass Spectrometry (IRMS). In combination with yeast fermentation of ISS and sugar separation from BSS and fermentation into ethanol as well as knowledge about production water, the C2-H/O isotope ratios of ethanol can theoretically determine the geographical origin of the sugars.

DNA Barcoding and Phylogenetic Analysis Sugarcane (Saccharum officinarum L.) Based on matK ( maturase K) Gene

2020 ◽  
Vol 840 ◽  
pp. 162-170
Author(s):  
Ganies Riza Aristya ◽  
Fauzana Putri ◽  
Rina Sri Kasiamdari ◽  
Arni Musthofa
Keyword(s):  
Phylogenetic Tree ◽  
Molecular Level ◽  
Economic Value ◽  
Saccharum Officinarum ◽  
Saccharum Spontaneum ◽  
Dna Barcodes ◽  
Pcr Method ◽  
Hybrid Cultivar ◽  
I Gene ◽  
Sequencing Process

Sugarcane (Saccharum officinarum L.) is an agricultural commodities with a great extent of diversity and high economic value. In Indonesia, the great extent of diversity of sugarcane is evidenced by a large number of cultivars cultivated. Sugarcane diversities at the molecular level can be seen using DNA barcodes, one of which is the matK. The purpose of the study was to identify and characterize matK and reconstruct the phylogenetic tree to determine the phylogeny of 24 sugarcane cultivars Indonesia. matK was amplified using the PCR method with matK F-5’ATGATTAATTAAGAGTAAGAGGAT-3’ and matK R-5’AATGCAAAAATTCGAAGGGT-3. Results showed that the matK gene was successfully amplified as many as 1531 bp. The sequencing process was done to determine the nucleotide sequence and compared with those of the GenBank database. It showed that the samples used had a similarity of 98.87%-99.44% to that of matK in Saccharum officinarum, Saccharum hybrid cultivar and Saccharum spontaneum. Reconstruction of the phylogenetic tree showed that the samples used were located in the same clade with a zero genetic distance, while all the references from NCBI were also located in the same clade. The analysis of genetic variation indicated that it had no haplotype value.

scholarly journals Smooth input preparation for quantum and quantum-inspired machine learning

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Zhikuan Zhao ◽  
Jack K. Fitzsimons ◽  
Patrick Rebentrost ◽  
Vedran Dunjko ◽  
Joseph F. Fitzsimons
Keyword(s):  
Machine Learning ◽  
Quantum Algorithms ◽  
Machine Learning Algorithms ◽  
Low Rank ◽  
Smoothed Analysis ◽  
Machine Learning Applications ◽  
Data Points ◽  
Input Model ◽  
The Cost ◽  
Input Perturbation

AbstractMachine learning has recently emerged as a fruitful area for finding potential quantum computational advantage. Many of the quantum-enhanced machine learning algorithms critically hinge upon the ability to efficiently produce states proportional to high-dimensional data points stored in a quantum accessible memory. Even given query access to exponentially many entries stored in a database, the construction of which is considered a one-off overhead, it has been argued that the cost of preparing such amplitude-encoded states may offset any exponential quantum advantage. Here we prove using smoothed analysis that if the data analysis algorithm is robust against small entry-wise input perturbation, state preparation can always be achieved with constant queries. This criterion is typically satisfied in realistic machine learning applications, where input data is subjective to moderate noise. Our results are equally applicable to the recent seminal progress in quantum-inspired algorithms, where specially constructed databases suffice for polylogarithmic classical algorithm in low-rank cases. The consequence of our finding is that for the purpose of practical machine learning, polylogarithmic processing time is possible under a general and flexible input model with quantum algorithms or quantum-inspired classical algorithms in the low-rank cases.

scholarly journals Ethnomedicinal Plants Traditionally Used for the Treatment of Jaundice (Icterus) in Himachal Pradesh in Western Himalaya—A Review

Plants ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 232
Author(s):  
Disha Raghuvanshi ◽  
Rajni Dhalaria ◽  
Anjali Sharma ◽  
Dinesh Kumar ◽  
Harsh Kumar ◽  
...  
Keyword(s):  
Medicinal Plants ◽  
Plant Species ◽  
Ricinus Communis ◽  
Western Himalaya ◽  
Saccharum Officinarum ◽  
Himachal Pradesh ◽  
New Drugs ◽  
Tinospora Cordifolia ◽  
Ethnomedicinal Plants ◽  
Pharmacological Significance

Ethnomedicinal plants have a significant role in the lives of people of rural and tribal areas. Thousands of medicinal plant species are used to treat various diseases, including jaundice, and are considered an important therapeutic resource to minimize these diseases. Jaundice (icterus) is a chronic disease that occurs when the amount of bilirubin in the blood increases. This review describes different ethnomedicinal plants used for curing jaundice by tribal and rural people of Himachal Pradesh. The study reveals 87 ethnomedicinal plant species belonging to 51 different families, which are used for treating jaundice in Himachal Pradesh. These plants are arranged in a systematic way, which includes a description of their common name, botanical name, along with its family, plant parts used, region, and mode of use in tabulated form. Some of the plant extracts have already been explored for their phytochemical and pharmacological significance and proved their potential in the preparation of new medicines or drugs against the treatment of jaundice. This review is an attempt to highlight the indigenous knowledge of medicinal plants, which are specifically used for the treatment of jaundice. The data mentioned in the present review is compiled from various sources like existing literature, books, Google Scholar, and Scopus publications. Among all the observed plant species, most used medicinal plants for the treatment of jaundice include Justicia adhatoda, Emblica officinalis, Ricinus communis, Saccharum officinarum, Terminalia chebula, Berberis aristata, Cuscuta reflexa, and Tinospora cordifolia. Plants that are mostly utilized for the treatment of jaundice need to be scientifically validated by pharmacological analysis and should be subsequently used for the preparation of new drugs, which may prove far more beneficial than the existing one.

scholarly journals Unraveling the time-dependent relevance of input model uncertainties for a lumped hydrologic model of a pre-alpine karst system

2021 ◽  
Author(s):  
Daniel Bittner ◽  
Beatrice Richieri ◽  
Gabriele Chiogna
Keyword(s):  
Groundwater Recharge ◽  
Temporal Variations ◽  
Hydrologic Model ◽  
Time Dependent ◽  
Model Parameters ◽  
Lumped Parameter ◽  
Hydrodynamic Processes ◽  
Input Model ◽  
Karst Model ◽  
Input Uncertainties

AbstractUncertainties in hydrologic model outputs can arise for many reasons such as structural, parametric and input uncertainty. Identification of the sources of uncertainties and the quantification of their impacts on model results are important to appropriately reproduce hydrodynamic processes in karst aquifers and to support decision-making. The present study investigates the time-dependent relevance of model input uncertainties, defined as the conceptual uncertainties affecting the representation and parameterization of processes relevant for groundwater recharge, i.e. interception, evapotranspiration and snow dynamic, on the lumped karst model LuKARS. A total of nine different models are applied, three to compute interception (DVWK, Gash and Liu), three to compute evapotranspiration (Thornthwaite, Hamon and Oudin) and three to compute snow processes (Martinec, Girons Lopez and Magnusson). All the input model combinations are tested for the case study of the Kerschbaum spring in Austria. The model parameters are kept constant for all combinations. While parametric uncertainties computed for the same model in previous studies do not show pronounced temporal variations, the results of the present work show that input uncertainties are seasonally varying. Moreover, the input uncertainties of evapotranspiration and snowmelt are higher than the interception uncertainties. The results show that the importance of a specific process for groundwater recharge can be estimated from the respective input uncertainties. These findings have practical implications as they can guide researchers to obtain relevant field data to improve the representation of different processes in lumped parameter models and to support model calibration.

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