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Rajput, P. S.
- Effect of Organic Amendments and Plant Growth Promoting Microbes on Santalum Album in Central India
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Indian Forester, Vol 138, No 8 (2012), Pagination: 742-746Abstract
Different plant growth promoting microorganisms (PGPM) were screened for their growth promoting activity against Santalum album in nursery. A mix of selected organisms, Azospirillum, phosphate solubilising bacteria (fluorescent Pseudomonas sp.), Trichderma viride, AM fungi and soil amendment with organic matter were applied in a factorial field experiment to study their effect on survival and growth of sandal (Santalum album) saplings. Loam soil, farm yard manure (FYM), un-decomposed teak leaf, Leucaena leaf and mix organic matter (mixer of these 3 organic matters in equal ratio) in 3:1 v/v were used for amendment of natural red muram soil. There was 10-20% mortality in un-amended soil as compared to 0-10% in soil amended with organic matter along with PGPM application. No mortality was recorded in soil amended with loam soil, mix of FYM, teak and Leucaena leaves along with application of PGPM. Significant effect of soil amendment and application of PGPM was also observed on the growth of saplings after 2 years and 3 monthof planting. Fruit bodies of Lepiota longicauda, L. cristata and Scleroderma sp. were only developed on soil amended with organic matters. Maximum height was recorded in PGPM applied and soil amended with teak leaves (61% more as compared to control) followed by mixed organic matter and loam soil (39% and 38% more, respectively).Keywords
Plant Growth Promoting Microbes, Soil Amendments, Survival of Seedlings- Status of Khair Mortality in Central India
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Indian Forester, Vol 139, No 9 (2013), Pagination: 790-796Abstract
Khair mortality was recorded in two central Indian states, Madhya Pradesh and Maharashtra. Mortality was observed in 9-20 years old plantations upto 93 per cent in both states due to ischolar_main rot disease caused by a fungus, Ganoderma lucidum. In Madhya Pradesh, the worst affected areas are Palpur (Sheopur) and Ghuniya beet (Indore) having maximum 93% and 40% mortality respectively. In Maharashtra, Hiwari range of Yavatmal was found as the most affected site having up to 60% mortality due to this disease. Fusarium sp. also causes 3% mortality in one year old plantation at Akoli beet, Pandherkawda (MS). Total 17 fungal species were found associated with different stages of khair mortality which include 6 fungi, namely Hapalopilus nidulans, Lenzites pisolotii, Monodictys castaneae, Resinicium bicolor, Rigidoporus vinctus and Trametes hirusita recorded for the first time from central India.Keywords
Decay Fungi, Fusarium Sp., Ganoderma Lucidum, Heart Rot, Phellinus Badius, Root Rot- Data Mining: Concepts and Techniques in Digital Ambiance
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1 Mohanlal Sukhadia University Udaipur(Raj.).
2 INDEST-AICTE Consortium, Central Library, I.I.T Delhi.
1 Mohanlal Sukhadia University Udaipur(Raj.).
2 INDEST-AICTE Consortium, Central Library, I.I.T Delhi.
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International Journal of Information Library and Society, Vol 1, No 1 (2012), Pagination: 19-26Abstract
Data Mining, popularly known as Knowledge Discovery in databases is the automated or convenient extraction of patterns representing knowledge implicitly stored in large databases which solves the above problem. The study attempt to know what is data mining and why is it important. Deals about the basic concepts of data mining, its techniques and how work in digital atmosphere. Highlight the evolution of data mining and different types of step. Enumerates the problems associated with data mining in a digital ambiance.Keywords
Data Mining, Knowledge Discovery, Concepts, Techniques, Digital LibraryReferences
- Dhiman, Anil Kumar. Data Mining and its used in Libraries. CALIBER, Ahmedabad, February 13-15, 2003: 568-574.
- Reilly, B. F. When Machines Do Research: Automated Analysis of News and Other Primary Source Text. Journal of Library Administration, 49, (5): July 2009, 507-517.
- http://www.anderson.ucla.edu/faculty/jason.frand/teacher/technologies/palace/datamining.htm.
- http://en.wikipedia.org/wiki/Data_mining.
- http://www.thearling.com/text/dmwhite/dmwhite.htm.