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  1. Article ; Online: Correction

    Minilu Dejene / Hemalatha Palanivel / Heeravathi Senthamarai / Venkatramanan Varadharajan / S. Venkatesa Prabhu / Alazar Yeshitila / Solomon Benor / Shipra Shah

    Applied Biological Chemistry, Vol 66, Iss 1, Pp 1-

    Optimisation of culture conditions for gesho (Rhamnus prinoides.L) callus differentiation using Artificial Neural Network-Genetic Algorithm (ANN-GA) Techniques

    2023  Volume 1

    Keywords Agriculture (General) ; S1-972 ; Chemistry ; QD1-999
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Optimisation of culture conditions for gesho (Rhamnus prinoides.L) callus differentiation using Artificial Neural Network-Genetic Algorithm (ANN-GA) Techniques

    Minilu Dejene / Hemalatha Palanivel / Heeravathi Senthamarai / Venkatramanan Varadharajan / S. Venkatesa Prabhu / Alazar Yeshitila / Solomon Benor / Shipra Shah

    Applied Biological Chemistry, Vol 66, Iss 1, Pp 1-

    2023  Volume 14

    Abstract: Abstract Gesho (Rhamnus prinoides) is a medicinal plant with antioxidant and anti-inflammatory activities commonly used in the ethnomedicinal systems of Africa. Using a three-layer neural network, four culture conditions viz., concentration of agar, ... ...

    Abstract Abstract Gesho (Rhamnus prinoides) is a medicinal plant with antioxidant and anti-inflammatory activities commonly used in the ethnomedicinal systems of Africa. Using a three-layer neural network, four culture conditions viz., concentration of agar, duration of light exposure, temperature of culture, and relative humidity were used to calculate the callus differentiation rate of gesho. With the ability to quickly identify optimal solutions using high-speed computers, synthetic neural networks have emerged as a rapid, reliable, and accurate fitting technique. They also have the self-directed learning capability that is essential for accurate prediction. The network's final architecture for four selected variables and its performance has been confirmed with high correlation coefficient (R2, 0.9984) between the predicted and actual outputs and the root-mean-square error of 0.0249, were developed after ten-fold cross validation as the training function. In vitro research had been conducted using the genetic algorithm’s suggestions for the optimal culture conditions. The outcomes demonstrated that the actual gesho differentiation rate was 93.87%, which was just 1.86% lesser than the genetic algorithm's predicted value. The projected induced differentiation rate was 87.62%, the actual value was 84.79%, and the predicted value was 2.83% higher than Response Surface Methods optimisation. The environment for the growth of plant tissue can be accurately and efficiently optimised using a genetic algorithm and an artificial neural network. Further biological investigations will presumably utilise this technology.
    Keywords In vitro culture conditions ; Medicinal plants ; Gesho ; Rhamnus species ; Mathematical modelling ; Response Surface Methodology ; Agriculture (General) ; S1-972 ; Chemistry ; QD1-999
    Subject code 621
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher SpringerOpen
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Multi-faceted CRISPR-Cas9 strategy to reduce plant based food loss and waste for sustainable bio-economy – A review

    Hemalatha, Palanivel / Abda, Ebrahim M. / Shah, Shipra / Venkatesa Prabhu, S. / Jayakumar, M. / Karmegam, N. / Kim, Woong / Govarthanan, M.

    Journal of Environmental Management. 2023 Apr., v. 332 p.117382-

    2023  

    Abstract: Currently, international development requires innovative solutions to address imminent challenges like climate change, unsustainable food system, food waste, energy crisis, and environmental degradation. All the same, addressing these concerns with ... ...

    Abstract Currently, international development requires innovative solutions to address imminent challenges like climate change, unsustainable food system, food waste, energy crisis, and environmental degradation. All the same, addressing these concerns with conventional technologies is time-consuming, causes harmful environmental impacts, and is not cost-effective. Thus, biotechnological tools become imperative for enhancing food and energy resilience through eco-friendly bio-based products by valorisation of plant and food waste to meet the goals of circular bioeconomy in conjunction with Sustainable Developmental Goals (SDGs). Genome editing can be accomplished using a revolutionary DNA modification tool, CRISPR-Cas9, through its uncomplicated guided mechanism, with great efficiency in various organisms targeting different traits. This review's main objective is to examine how the CRISPR-Cas system, which has positive features, could improve the bioeconomy by reducing food loss and waste with all-inclusive food supply chain both at on-farm and off-farm level; utilising food loss and waste by genome edited microorganisms through food valorisation; efficient microbial conversion of low-cost substrates as biofuel; valorisation of agro-industrial wastes; mitigating greenhouse gas emissions through forestry plantation crops; and protecting the ecosystem and environment. Finally, the ethical implications and regulatory issues that are related to CRISPR-Cas edited products in the international markets have also been taken into consideration.
    Keywords CRISPR-Cas systems ; DNA ; bioeconomics ; biofuels ; climate change ; cost effectiveness ; ecosystems ; energy ; environmental degradation ; environmental management ; ethics ; food supply chain ; food waste ; forestry ; gene editing ; genome ; greenhouse gases ; Food loss ; CRISPR ; Genome editing ; Tree genomics ; Waste valorisation
    Language English
    Dates of publication 2023-04
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.117382
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Multi-faceted CRISPR-Cas9 strategy to reduce plant based food loss and waste for sustainable bio-economy - A review.

    Hemalatha, Palanivel / Abda, Ebrahim M / Shah, Shipra / Venkatesa Prabhu, S / Jayakumar, M / Karmegam, N / Kim, Woong / Govarthanan, M

    Journal of environmental management

    2023  Volume 332, Page(s) 117382

    Abstract: Currently, international development requires innovative solutions to address imminent challenges like climate change, unsustainable food system, food waste, energy crisis, and environmental degradation. All the same, addressing these concerns with ... ...

    Abstract Currently, international development requires innovative solutions to address imminent challenges like climate change, unsustainable food system, food waste, energy crisis, and environmental degradation. All the same, addressing these concerns with conventional technologies is time-consuming, causes harmful environmental impacts, and is not cost-effective. Thus, biotechnological tools become imperative for enhancing food and energy resilience through eco-friendly bio-based products by valorisation of plant and food waste to meet the goals of circular bioeconomy in conjunction with Sustainable Developmental Goals (SDGs). Genome editing can be accomplished using a revolutionary DNA modification tool, CRISPR-Cas9, through its uncomplicated guided mechanism, with great efficiency in various organisms targeting different traits. This review's main objective is to examine how the CRISPR-Cas system, which has positive features, could improve the bioeconomy by reducing food loss and waste with all-inclusive food supply chain both at on-farm and off-farm level; utilising food loss and waste by genome edited microorganisms through food valorisation; efficient microbial conversion of low-cost substrates as biofuel; valorisation of agro-industrial wastes; mitigating greenhouse gas emissions through forestry plantation crops; and protecting the ecosystem and environment. Finally, the ethical implications and regulatory issues that are related to CRISPR-Cas edited products in the international markets have also been taken into consideration.
    MeSH term(s) Refuse Disposal ; CRISPR-Cas Systems ; Ecosystem ; Crops, Agricultural
    Language English
    Publishing date 2023-02-06
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2023.117382
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Exploring the Nutritional Potential of Wild Grass Fodder for Mega Herbivore (

    Packialakshmi, Mohan / Palani Divya, Muthusamy / Baranidharan, Krishnamoorthy / Geetha, Seshadri / Nalliappan Ganesan, Kalipatty / Vijayabhama, Manickam / Manivasakan, Srinivasan / Hemalatha, Palanivel / Radha, Palaniswamy / Tilak, Meenakshisundaram / Priyanka, Venugopal / Krishnamoorthi, Settu / Vinothini, Balasubramaniam / Yuvraj Zende, Jayesh / Balu Rajput, Nikhil

    Animals : an open access journal from MDPI

    2022  Volume 12, Issue 19

    Abstract: An elephant, being a mega herbivore, consumes large amounts of food. Due to the lack of availability of fodder inside the forest, the elephants move out of their habitat areas and also find agricultural crops attractive, which further results in man- ... ...

    Abstract An elephant, being a mega herbivore, consumes large amounts of food. Due to the lack of availability of fodder inside the forest, the elephants move out of their habitat areas and also find agricultural crops attractive, which further results in man-animal conflict. To improve the elephant habitat area, the current study was conducted to assess the availability of native fodder grasses inside the Coimbatore Elephant Reserve, Western Ghats, from April 2021-April 2022. The area falls between 10°37'and 11°31' North latitudes and 76°39'and 77°5' East longitudes. It was approached in a systematic random sampling method. A total of 128 sample plots of 1 sq.m size were randomly placed, and the density of grass species was recorded in percentage (%). The collected samples were shade dried for one week, ground to pass through a 1 mm sieve, and stored in polythene bags. Furthermore, the samples were chemically analyzed to determine their nutritional values. The dry matter (DM) content of various grass fodder varied from 28.18% to 59.75%. The crude protein (CP) content differed between 5.94% and 11.94%. The highest CP was recorded in
    Language English
    Publishing date 2022-10-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606558-7
    ISSN 2076-2615
    ISSN 2076-2615
    DOI 10.3390/ani12192668
    Database MEDical Literature Analysis and Retrieval System OnLINE

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