Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/601022
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dc.date.accessioned2024-11-13T10:54:05Z-
dc.date.available2024-11-13T10:54:05Z-
dc.identifier.urihttp://hdl.handle.net/10603/601022-
dc.description.abstractRice is the principal food crop for over half of the world s population. High-yielding newlineand fertilizer-responsive rice varieties were introduced to ensure global food security newlineduring the Green Revolution. However, with the rapidly escalating population and newlineadoption of an intensive cropping system, it became evident that the regional newlinerecommended fertilizers were insufficient to meet the growing demands and optimize newlineinput requirements for enhancing rice productivity. Consequently, a growing interest newlinehas been in utilizing decision support tools based on 4R nutrient stewardship principles newlineto optimize fertilizer application. Moreover, the emergence of nano urea offers a newlinepromising avenue for fertilizer management. However, there remains a gap in research newlineevaluating the performance of these decision support tools compared to various newlinefertilizer levels, including nano urea. Considering the above facts, the current study was newlinecarried out on rice cv. Naveen during the boro season of 2021-22 and 2022-23 at the newlinePost Graduate Research Farm of M.S. Swaminathan School of Agriculture, Centurion newlineUniversity of Technology and Management, Odisha, India. The experiment was newlineconducted in sandy loam textured soil with a slightly acidic reaction, low in organic newlinecarbon and available nitrogen and medium in available phosphorous and potassium. The newlineexperiment was laid out in a Randomized Block Design with 11 newlinetreatments, viz., absolute control, 75% RDF, 100% RDF, 125% RDF, 75% RDF newlinefollowed by nano urea at 2ml L-1 during panicle initiation, 100% RDF followed by newlinenano urea at 2ml L-1 during panicle initiation, LCC 3-based nitrogen management, LCC newline4-based nitrogen management, SI-based nitrogen management, NE-based nutrient newlinerecommendation, RCM-based nutrient recommendation, and each treatment was newlinereplicated thrice. Along with these treatments, a separate reference plot was made with newlinean ample dose application of nitrogen (200% nitrogen) to calculate the sufficiency newlineindex. The results revealed that the growth parameters of rice, namely, plant height, newline
dc.format.extent56.9 MB
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleImpact Of Precision Nutrient Management On Growth And Productivity Of Boro Rice
dc.title.alternative
dc.creator.researcherLalichetti, Sagar
dc.subject.keywordAgricultural Sciences
dc.subject.keywordAgronomy
dc.subject.keywordChlorophyll
dc.subject.keywordLife Sciences
dc.subject.keywordNutrient cycles
dc.subject.keywordRice
dc.description.noteChlorophyll content meter, Sufficiency Index, Nutrient Expert, Leaf colour chart, Rice.
dc.contributor.guideMaitra, Sagar
dc.publisher.placeGajapati
dc.publisher.universityCenturion University of Technology and Management
dc.publisher.institutionAgicultural Sc.
dc.date.registered2021
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Agicultural Sc.

Files in This Item:
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01. title.pdfAttached File171.16 kBAdobe PDFView/Open
02. preliminary pages.pdf3.37 MBAdobe PDFView/Open
03. table of contents.pdf782.72 kBAdobe PDFView/Open
04. abstract.pdf918.28 kBAdobe PDFView/Open
05. chapter 1.pdf1.39 MBAdobe PDFView/Open
06. chapter 2.pdf12.44 MBAdobe PDFView/Open
07. chapter 3.pdf6.92 MBAdobe PDFView/Open
08. chapter 4.pdf21.56 MBAdobe PDFView/Open
09. chapter 5.pdf3.93 MBAdobe PDFView/Open
10. chapter 6.pdf2.04 MBAdobe PDFView/Open
80_recommendation.pdf2.21 MBAdobe PDFView/Open
annexure.pdf7.09 MBAdobe PDFView/Open


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