Online Monitoring of Biomass Accumulation in Recombinant Yeast Cultures

Pada tahun 2014 KLHK dan BPPT telah melakukan pengkajian dan penerapan teknologi online monitoring kualitas air sungai (Onlimo) di sungai Ciliwung. Peran sistem Onlimo ini adalah untuk mempermudah upaya pengendalian pencemaran sungai. Tahun 2015 dan 2016 KLHK dan BPPT telah melakukan pemasangan sistem Onlimo di 10 lokasi pada 4 DAS prioritas. Dalam sistem Onlimo tersebut terdapat dua metode pemasangan sensor yaitu: pencelupan secara langsung ke dalam sungai dan pengukuran di luar sungai. Pada sistem pengukuran di luar sungai, sampel air sungai dipompa dari sungai menuju tangki yang telah tersedia sensor di dalamnya. Sistem pemompaan sampel air sungai diaplikasikan saat kondisi sungai tidak memungkinkan untuk dilakukanya pencelupan sensor secara langsung. Saat ini sistem pemompaan masih diaplikasikan pada daerah yang memiliki suplai listrik PLN karena konsumsi listrik yang cukup besar untuk menjalankanya. Dengan rencana KLHK yang menargetkan penerapan sistem online monitoring kualitas air di 15 DAS prioritas, maka penting untuk dipersiapkan perancangan sistem pengambilan sampel dengan energi alternatif agar dapat ditempatkan di lokasi manapun tanpa tergantung listrik dari PLN. Pada perancangan ini telah dihasilkan rancangan sistem Pembangkit Listrik Tenaga Surya (PLTS) yang dapat menyuplai kebutuhan listrik sebuah sistem pemompaan air sampel untuk sistem online monitoring kualitas air selama 24 jam.Â Kata Kunci : online monitoring, kualitas air, sensor, pembangkit listrik, tenaga surya

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PREDIKSI KUALITAS AIR SUNGAI CILIWUNG DENGAN MENGGUNAKAN ALGORITMA POHON KEPUTUSAN

Jurnal Air Indonesia ◽

10.29122/jai.v12i2.4364 ◽

2021 ◽

Vol 12 (2) ◽

Author(s):

Mohammad Haekal ◽

Henki Bayu Seta ◽

Mayanda Mega Santoni

Keyword(s):

Data Mining ◽

Decision Tree ◽

Cross Validation ◽

Online Monitoring ◽

Training Set ◽

Microsoft Excel ◽

Test Set

Untuk memprediksi kualitas air sungai Ciliwung, telah dilakukan pengolahan data-data hasil pemantauan secara Online Monitoring dengan menggunakan Metode Data Mining. Pada metode ini, pertama-tama data-data hasil pemantauan dibuat dalam bentuk tabel Microsoft Excel, kemudian diolah menjadi bentuk Pohon Keputusan yang disebut Algoritma Pohon Keputusan (Decision Tree) mengunakan aplikasi WEKA. Metode Pohon Keputusan dipilih karena lebih sederhana, mudah dipahami dan mempunyai tingkat akurasi yang sangat tinggi. Jumlah data hasil pemantauan kualitas air sungai Ciliwung yang diolah sebanyak 5.476 data. Hasil klarifikasi dengan Pohon Keputusan, dari 5.476 data ini diperoleh jumlah data yang mengindikasikan sungai Ciliwung Tidak Tercemar sebanyak 1.059 data atau sebesar 19,3242%, dan yang mengindikasikan Tercemar sebanyak 4.417 data atau 80,6758%. Selanjutnya data-data hasil pemantauan ini dievaluasi menggunakan 4 Opsi Tes (Test Option) yaitu dengan Use Training Set, Supplied Test Set, Cross-Validation folds 10, dan Percentage Split 66%. Hasil evaluasi dengan 4 opsi tes yang digunakan ini, semuanya menunjukkan tingkat akurasi yang sangat tinggi, yaitu diatas 99%. Dari data-data hasil peneltian ini dapat diprediksi bahwa sungai Ciliwung terindikasi sebagai sungai tercemar bila mereferensi kepada Peraturan Pemerintah Republik Indonesia nomor 82 tahun 2001 dan diketahui pula bahwa penggunaan aplikasi WEKA dengan Algoritma Pohon Keputusan untuk mengolah data-data hasil pemantauan dengan mengambil tiga parameter (pH, DO dan Nitrat) adalah sangat akuran dan tepat. Kata Kunci : Kualitas air sungai, Data Mining, Algoritma Pohon Keputusan, Aplikasi WEKA.

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FEATURES OF THE PRODUCTION PROCESS OF ANCIENT AND MODERN VARIETIES OF WINTER RYE

Vestnik of the Russian agricultural science ◽

10.30850/vrsn/2019/6/15-19 ◽

1970 ◽

pp. 15-19

Author(s):

A. A. Torop ◽

V. V. Chaykin ◽

E. A. Torop ◽

I. S. Brailova ◽

S. A. Kuzmenko

Keyword(s):

Production Process ◽

Dry Matter ◽

Leaf Surface ◽

Unit Area ◽

Biomass Accumulation ◽

Vegetation Period ◽

Winter Rye ◽

Total Chlorophyll ◽

Potential Productivity ◽

Productivity Potential

We compared peculiarities of the production process of the older and modern(created 80 years after) sorts of winter rye. It is determined that the specific coenotic productivity of a modern sort is 60.6% higher.This increase is due to higher number of productive sprouts per unit area and higher sprout weight. The coenosis of modern sorts is highly resistant to lodging. The modern sort has a 33.5% higher leaf surface index and a 17.7% higher share of the leaves in the upper tier, differing in their erectile orientation in space. As for the content of total chlorophyll in the dry matter of leaves and vagina, the modern sort is inferior to the older by 30.2%during theearing period, and by 17.5%during the milky-wax ripeness period.As for the content of total chlorophyll in the sowing area, the compared sorts were practically the same, but the ratio between chlorophyll a and c was noticeably different. As for the chlorophyll content in stems, in dry matter and in the area of sowing, the modern sort is inferior by1.5 times and more to the older in both observation terms. The sorts differed in the biomass accumulation and its distribution between the parts during the vegetation period. To establish the ear productivity, the older sort used only the current photosynthesis products.In conditions of an unfavorable growth year, the modern sort used previously accumulated by leaves and re-utilized assimilates. The actual and potential productivity of an ear in a modern sort is higher by 77.4 and 68.0%, respectively, but the degree of its vegetative mass supply is lower by 48.6%.Only due to the higher, by 77.4%, utilization of the mass of the sprout, the modern sort binds a greater number of grains in the ear with a higherseparate mass.Since the sharp increase in the ear productivity potential was not accompanied by the same growth of the sprout vegetative mass, the modern sort, in unfavorable conditions for growth, has tensions in the relation system between the sprout vegetative mass and pouring grain. This may be the reason of the unstable achievedyield level.

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Effect of pre-flowering light deficiency on biomass accumulation and physiological characteristics of rice

CHINESE JOURNAL OF ECO-AGRICULTURE ◽

10.3724/sp.j.1011.2011.00347 ◽

2011 ◽

Vol 19 (2) ◽

pp. 347-352 ◽

Cited By ~ 4

Author(s):

Dong YANG ◽

Liu-Sheng DUAN ◽

Hua-An XIE ◽

Zhao-Hu LI ◽

Ting-Xu HUANG

Keyword(s):

Biomass Accumulation ◽

Physiological Characteristics ◽

Light Deficiency

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Glutamyl and Glutaminyl-tRNA Synthetases Are a Promising Target for the Design of Threonine-Producing Strain

Biotekhnologiya ◽

10.21519/0234-2758-2019-35-6-39-50 ◽

2019 ◽

Vol 35 (6) ◽

pp. 39-50

Author(s):

T.V. Yuzbashev ◽

A.S. Fedorov ◽

F.V. Bondarenko ◽

A.S. Savchenko ◽

T.V. Vybornaya ◽

...

Keyword(s):

Biomass Accumulation ◽

Trna Synthetase ◽

Temperature Sensitive ◽

Original Strain ◽

Trna Synthetases ◽

Resource Center ◽

Promising Target ◽

The Russian Federation ◽

Increase In Productivity ◽

Culture Growth

The present work describes an approach that improves the properties of the strain producing L-threonine via the reduction in the biomass accumulation during fermentation. Glutamyl- and glutaminyl-tRNA synthetases were chosen as targets. Mutants carrying temperature-sensitive alleles were obtained. It was shown that the used system caused the suppression of the function of tRNA synthetases which led to a rapid arrest of the culture growth, and an increase in productivity and yield of the L-threonine synthesis. One of the temperature-sensitive strains was used to obtain under non-permissive conditions of mutants with the suppressed above phenotype. Some of these mutants accumulate less biomass and produce by 10-12% more threonine than the original strain. Escherichia coli, producing strain, threonine, aminoacyl-tRNA synthetase, ts-mutation This work was supported by the Ministry of Science and Higher Education of the Russian Federation (project code RFMEFI61017X0011), and it was carried out using the equipment of the National Bio-Resource Center All-Russian Collection of Industrial Microorganisms, NRC «Kurchatov Institute» - GosNIIgenetika.

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