Production of Recombinant Miraculin Using Transgenic Tomatoes in a Closed Cultivation System

2010 ◽  
Vol 58 (10) ◽  
pp. 6096-6101 ◽  
Author(s):  
Tadayoshi Hirai ◽  
Go Fukukawa ◽  
Hideo Kakuta ◽  
Naoya Fukuda ◽  
Hiroshi Ezura
Keyword(s):  
Cultivation System ◽  
Transgenic Tomatoes ◽  
Closed Cultivation System

Bioprocess Optimization for Exopolysaccharides Production by Ganoderma lucidum in Semi-industrial Scale

2020 ◽  
Vol 11 (3) ◽  
pp. 211-218
Author(s):  
Ramzy Abd Alsaheb ◽  
Koh Zwin Zjeh ◽  
Roslinda Abd Malek ◽  
Jaafar Kamil Abdullah ◽  
Ashraf El Baz ◽  
...  
Keyword(s):  
Bioactive Compounds ◽  
Ganoderma Lucidum ◽  
Product Yield ◽  
Submerged Cultivation ◽  
Bioactive Metabolites ◽  
Cultivation System ◽  
Carbon And Nitrogen ◽  
Different Types ◽  
Cultivation Strategy ◽  
Closed Cultivation System

Background: For many years, Ganoderma was highly considered as biofactory for the production of different types of bioactive metabolites. Of these bioactive compounds, polysaccharides gained much attention based on their high biotherapeutic properties. Therefore, special attention has been paid during the last years for the production of mushrooms bioactive compounds in a closed cultivation system to shorten the cultivation time and increase the product yield. Objective: This work focuses on the development of a simple cultivation strategy for exopolysaccharides (EPS) production using Ganoderma lucidum and submerged cultivation system. Results and Discussion: Therefore, this work is focused on the development of simple cultivation system for exopolysaccharides (EPS) production using Ganoderman lucidum. At first, the best medium supporting EPS production was chosen experimentally from the current published data. Second, like many EPS production process, carbon and nitrogen concentrations were optimized to support the highest production of polysaccharides in shake flask level. Furthermore, the process was scaled up in 16-L stirred tank bioreactor. The results clearly demonstrated that the best cultivation strategy was cultivation under controlled pH condition (pH 5.5). Under this condition the maximal volumetric and specific yield of EPS production were, 5.0 g/L and 0.42 g/g, respectively. Methods: For many years, Ganoderma was highly considered as biofactory for the production of different types of bioactive metabolites. Of these bioactive compounds, polysaccharides gained much attention based on their high biotherapeutic properties. Therefore, special attention has been paid during the last years for the production of mushrooms bioactive compounds in a closed cultivation system to shorten the cultivation time and increase the product yield. Conclusion: The current results clearly demonstrates the high potential use of submerged cultivation system as alternative to conventional solid state fermentation for EPS production by G. lucidum. Furthermore, optimization of both carbon and nitrogen sources concentration and scaling up of the process showed significant increase in both volumetric and specific EPS production.

scholarly journals Short-term Low Oxygen Treatment Immediately After Planting Alters Asparagus officinalis var. UC157’s Harvest Timing

HortScience ◽  
2020 ◽  
Vol 55 (3) ◽  
pp. 374-377
Author(s):  
Ling Li ◽  
Takashi Watanabe ◽  
Atsuko Uragami ◽  
Hiroaki Kitazawa ◽  
Xiangyou Wang
Keyword(s):  
Total Yield ◽  
Asparagus Officinalis ◽  
Growth And Yield ◽  
Low Oxygen ◽  
Short Term ◽  
Cultivation System ◽  
Oxygen Treatment ◽  
Harvest Timing ◽  
And Control ◽  
Closed Cultivation System

To control asparagus harvest timing, we investigated the effects of short-term low (5%) oxygen (O2) treatment in the cultivation area on asparagus growth and yield using a closed cultivation system. During 120 days of cultivation, low O2 treatments were initiated at 0 to 4, 20 to 24, and 40 to 44 days after planting (DAP). The sprouting spears and control crown yield gradually decreased with increasing DAP. However, low O2 treatment at 0 to 4 DAP significantly delayed the decrease until 80 DAP, although the total yield did not change during cultivation. In contrast, low O2 treatments at 20 to 24 and 40 to 44 DAP did not affect yield performance. Taken together, short-term low O2 treatment immediately after planting can change the harvest timing of white asparagus and can be used for effective asparagus culturing in a closed system, such as a plant factory.

scholarly journals Comparison of Two Harvesting Methods for the Continuous Production of Indigo Plant (Polygonum Tinctorium) Leaves in a Closed-Cultivation System

2017 ◽  
Vol 6 (2) ◽  
pp. 7
Author(s):  
Masaru Sakamoto ◽  
Dong-An Kim ◽  
Keiko Imoto ◽  
Yusuke Kitai ◽  
Takahiro Suzuki
Keyword(s):  
Continuous Production ◽  
Continuous Cultivation ◽  
Total Weight ◽  
Blue Dye ◽  
Cultivation System ◽  
Cultivation Method ◽  
Shoot Ratio ◽  
Leaf Yield ◽  
Polygonum Tinctorium ◽  
Closed Cultivation System

Although the blue dye indigo has been chemically synthesized for over a century, there is an increasing interest in the indigo plant (Polygonum tinctorium) as a source of natural dyes and medicines. To maintain a stable supply of P. tinctorium throughout the year, we examined the effect of two harvesting methods on the leaf yield of this plant under a closed-cultivation system. With method 8c-M, all shoot branches >8 cm of the stem bottom were harvested and under method 2b-M, all branches, but two, were harvested at the stem bottom. Both methods enabled sustainable leaf yields from the same plants over 1 year. The total weight of shoot branches harvested by 8c-M was 1.86–3.11 times higher that of shoot branches harvested by 2b-M. Harvesting by 8c-M resulted in shoot branch weights lower than those from plants harvested with the 2b-M. Leaf/shoot ratio was increased in plants harvested by 8c-M. The content of indican, the precursor of indigo, in leaves was not significantly different between the two harvesting methods. Our data may provide a new continuous cultivation method of leaf crops all over years in controlled-cultivation systems.

Organic Farming System for Producing Healthy Rice Oleh

2018 ◽  
Vol 9 (04) ◽  
pp. 20213-20217
Author(s):  
Dr. Ir. Ni.Gst.Ag.Gde Eka Martiningsih ◽  
Dr.Ir. I Putu Sujana, MS
Keyword(s):  
Elementary Education ◽  
Dry Weight ◽  
Farming System ◽  
Rice Cultivation ◽  
Cultivation System ◽  
Organic Rice ◽  
Organic Cultivation ◽  
A Value ◽  
Cultivation Technology ◽  
Organic Farming System

Introduction of organic rice-based rice cultivation technology package through demplot is done in Subak Sungi 1 using ciherang variety. The number of farmers participating in demonstration plots in organic cultivation of paddy-based rice cultivation were 5 people, with age of farmers aged greater than 55 years occupying the highest percentage (45.45%), with elementary education level (72.75%), followed by high school education (18.25%), and junior high (9%). The average farmland area is 34.63 acres, with self-owned status (55,94%), status as penyakap 41,18% and rent status 2,88%. The farmers' response to the organic rice-based rice planting assessment is quite high, as evidenced by the evaluation that 100% of farmers participating in demonstration plots know and understand about organic rice system cultivation, and they agree to develop this cultivation system in the future. Demplot research results can increase the yield components and weight of dry grain harvest per hectare. Organic rice-based rice cultivation technology EVAGRO able to increase production of dry grain harvest significantly with a value of 6.8 tons / ha. There is a tendency of dry weight value of ciherang varieties of 6.8 tons / ha giving highest but not significantly different with PGPR organic based technology.

Double Line Clustering based Colour Image Segmentation Technique for Plant Disease Detection

2019 ◽  
Vol 15 (8) ◽  
pp. 769-776
Author(s):  
Kalaivani Subramani ◽  
Shantharajah Periyasamy ◽  
Padma Theagarajan
Keyword(s):  
Pattern Matching ◽  
Error Rate ◽  
Median Filter ◽  
Identification System ◽  
Double Line ◽  
Cultivation System ◽  
Matching Algorithm ◽  
Non Local ◽  
Mining Methods ◽  
Blight Disease

Background: Agriculture is one of the most essential industry that fullfills people’s need and also plays an important role in economic evolution of the nation. However, there is a gap between the agriculture sector and the technological industry and the agriculture plants are mostly affected by diseases, such as the bacterial, fungus and viral diseases that lead to loss in crop yield. The affected parts of the plants need to be identified at the beginning stage to eliminate the huge loss in productivity. Methods: In the present scenario, crop cultivation system depend on the farmers experience and the man power, but it consumes more time and increases error rate. To overcome this issue, the proposed system introduces the Double Line Clustering technique based disease identification system using the image processing and data mining methods. The introduced method analyze the Anthracnose, blight disease in grapes, tomato and cucumber. The leaf images are captured and the noise has been removed by non-local median filter and the segmentation is done by double line clustering method. The segmented part compared with diseased leaf using pattern matching algorithm. Methods: In the present scenario, crop cultivation system depend on the farmers experience and the man power, but it consumes more time and increases error rate. To overcome this issue, the proposed system introduces the Double Line Clustering technique based disease identification system using the image processing and data mining methods. The introduced method analyze the Anthracnose, blight disease in grapes, tomato and cucumber. The leaf images are captured and the noise has been removed by non-local median filter and the segmentation is done by double line clustering method. The segmented part compared with diseased leaf using pattern matching algorithm. Conclusion: The result of the clustering algorithm achieved high accuracy, sensitivity, and specificity. The feature extraction is applied after the clustering process which produces minimum error rate.

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