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    block this user Mahendra Kumar Trivedi

    Independent researcher

    Las Vegas Naveda
    Trivedi Global Inc.
    Trivedi Science Research Laboratory Pvt. Ltd

    Morphological Characterization, Quality, Yield and DNA Fingerprinting of Biofield Energy Treated Alphonso Mango (Mangifera indica L.)

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    Alphonso is the most delicious variety of mango (Mangifera indica L.) known for its excellent texture, taste, andrichness with vitamins and minerals. The present study was attempted to evaluate the impact of Mr. Trivedi’s biofield energytreatment on morphological characteristics, quality, yield and molecular assessment of mango. A plot of 16 acres lands used forthis study with already grown mango trees. This plot was divided into two parts. One part was considered as control, whileanother part was subjected to Mr. Trivedi’s biofield energy treatment without physically touching and referred as treated. Thetreated mango trees showed new straight leaves, without any distortion and infection, whereas the control trees showed veryfew, distorted, infected, and curly leaves. Moreover, the flowering pattern of control trees did not alter; it was on average 8 to10 inches with more male flowers. However, the flowering pattern of treated trees was completely transformed into compactone being 4 to 5 inches in length and having more female flowers. Additionally, the weight of matured ripened mango wasfound on an average 275 gm, medium sized with 50% lesser pulp in the control fruits, while the fruits of biofield energy treatedtrees showed on average weight of 400 gm, large sized and having 75% higher pulp as compared to the control. Apart frommorphology, the quality and nutritional components of mango fruits such as acidity content was increased by 65.63% in thetreated sample. Vitamin C content in the treated Alphonso mango pulp was 43.75% higher than the pulp obtained from thecontrol mango farm. The spongy tissue content in pulp of the matured ripened mangoes was decreased by 100% for twoconsecutive years as compared to the control. Moreover, the yield of flowers and fruits in the treated trees were increased about95.45 and 47.37%, respectively as compared to the control. Besides, the DNA fingerprinting data using RAPD revealed thatthe treated sample did not show any true polymorphism as compared to the control. The overall results envisaged that thebiofield energy treatment on the mango trees showed a significant improvement in the morphology, quality and overallproductivity along with 100% reduction in the spongy tissue disorder. In conclusion, the biofield energy treatment could beused as an alternative way to increase the production of quality mangoes.

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    Description

    Title : Morphological Characterization, Quality, Yield and DNA Fingerprinting of Biofield Energy Treated Alphonso Mango (Mangifera indica L.)
    Author(s) : Mahendra Kumar Trivedi
    Abstract : Alphonso is the most delicious variety of mango (Mangifera indica L.) known for its excellent texture, taste, andrichness with vitamins and minerals. The present study was attempted to evaluate the impact of Mr. Trivedi’s biofield energytreatment on morphological characteristics, quality, yield and molecular assessment of mango. A plot of 16 acres lands used forthis study with already grown mango trees. This plot was divided into two parts. One part was considered as control, whileanother part was subjected to Mr. Trivedi’s biofield energy treatment without physically touching and referred as treated. Thetreated mango trees showed new straight leaves, without any distortion and infection, whereas the control trees showed veryfew, distorted, infected, and curly leaves. Moreover, the flowering pattern of control trees did not alter; it was on average 8 to10 inches with more male flowers. However, the flowering pattern of treated trees was completely transformed into compactone being 4 to 5 inches in length and having more female flowers. Additionally, the weight of matured ripened mango wasfound on an average 275 gm, medium sized with 50% lesser pulp in the control fruits, while the fruits of biofield energy treatedtrees showed on average weight of 400 gm, large sized and having 75% higher pulp as compared to the control. Apart frommorphology, the quality and nutritional components of mango fruits such as acidity content was increased by 65.63% in thetreated sample. Vitamin C content in the treated Alphonso mango pulp was 43.75% higher than the pulp obtained from thecontrol mango farm. The spongy tissue content in pulp of the matured ripened mangoes was decreased by 100% for twoconsecutive years as compared to the control. Moreover, the yield of flowers and fruits in the treated trees were increased about95.45 and 47.37%, respectively as compared to the control. Besides, the DNA fingerprinting data using RAPD revealed thatthe treated sample did not show any true polymorphism as compared to the control. The overall results envisaged that thebiofield energy treatment on the mango trees showed a significant improvement in the morphology, quality and overallproductivity along with 100% reduction in the spongy tissue disorder. In conclusion, the biofield energy treatment could beused as an alternative way to increase the production of quality mangoes.
    Keywords : Trivedi Effect,The Trivedi Effect, Mahendra Kumar Trivedi,Mahendra Trivedi,Biofield Energy Treatment,Alphonso Mango, Mangifera indica L.,improved mango production,Yield of alphonso

    Subject : agriculture
    Area : Open Access
    Language : English
    Year : 2015

    Affiliations Trivedi Global Inc.
    Trivedi Science Research Laboratory Pvt. Ltd
    Journal : Journal of Food and Nutrition Sciences
    Volume : 3
    Issue : 6
    Publisher : Science PG
    Doi : 10.11648/j.jfns.20150306.18

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    Mahendra's Peer Evaluation activity

    Downloads 32901
    Views 199
    Following... 21
    • Alejandro Engelmann, Independent researcher, Library, Swedish University of Agricultural Sciences, Uppsala, Sweden.
    • Selma Dorrestein, Student, Master Level, University of Amsterdam.
    • Francisco Herrera, Publisher, UNIVERSITY OF GRANADA.
    • Ralf Steinmetz, Professor, university.
    • Gregory Dudek, Professor, McGill University, School of Computer Science, Montreal, Canada.
    • Umberto Straccia, Senior Research Fellow, ISTI - CNR.
    • Sorin Cotofana, Associate Professor, Deft University of Technology, Faculty of Electrical Engineeting, Mathematics, and Computer Science. Computer Engineering, Delft, The Netherlands.
    • Stefan Trausan-Matu, Professor, Computer Science Department, Politehnica University of Bucharest, Research Institute for Artificial Intelligence.
    • Jean Quisquater, Professor, UCL Crypto Group.
    • Markus Jakobsson, Principal Research Fellow, PayPal, FatSkunk, Indiana University.
    • Michael Elad, Professor, Technion - Israel institute of Technology.
    • Andrew Lumsdaine, Professor, Indiana University.
    • Mikael Nilsson, Student, Ph.D. Level, Royal Institute of Technology, Stockholm, Sweden.
    • Emilie Combet, Lecturer, MVLS, University of Glasgow, Glasgow, Centre for Population and Health Sciences, Life-course Nutrition and Health.
    • Werner Muller, Professor, Faculty of Life Science, University of Manchester, Manchester.
    • Syam Mohan, Senior Research Fellow, Pharmacology, University of Malaya, Malaysia.
    • Ramy K Aziz, Lecturer, Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Cairo, Egypt.
    • Paweł K. Jędrzejko, Associate Professor, Department of American and Canadian Studies of the Institute of English Cultures and Literatures, University of Silesia in Katowice, Poland.
    • Nader Ale Ebrahim, Independent researcher, Research Support Unit, Centre of Research Services, Institute of Research Management and Monitoring (IPPP), University of Malaya, Malaysia.
    • Kelli Barr, Student, Ph.D. Level, Department of Philosophy and Religion Studies, University of North Texas, Denton, TX.
    • Pandelis Perakakis, Post Doctorate, Economics department, Universitet Jaume I, Castellon.

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