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Developing screening tools for abiotic stresses using cowpea [Vigna unguiculata (L.) Walp.] as a model cropSingh, Shardendu Kumar 13 December 2008 (has links)
Abiotic stresses cause extensive loss to agriculture production worldwide. Cowpea is an important legume crop grown widely in tropical and subtropical regions where high temperature, ultraviolet-B (UVB) radiation and drought are the common stress factors limiting production. Various vegetative, physiological, biochemical and reproductive plant attributes were assessed under a range of UVB radiation levels in Experiment I and in a combination with two doses of each carbon dioxide concentration [CO2], temperature, and UVB radiation and their interactions in Experiment II by using six cowpea genotypes and sunlit plant growth chambers. The dynamics of photosynthesis and fluorescence processes were assessed in 15 cowpea genotypes under drought condition in Experiment III in pot-grown plants under sunlit conditions. A distinct response pattern was not observed in cowpea in response to UVB radiation form 0 to 15 kJ; however, plants grown under elevated UVB showed reduced photosynthesis resulting in shorter plants and produced smaller flowers and lower seed yield. Increased phenolic compounds appeared to be a defense response to UVB radiation. The growth enhancements observed by doubling of [CO2] were not observed when plants were grown in combination with elevated UVB or temperature which also showed the most detrimental effects on plant growth and seed yield. Results form Experiment I and II revealed that cowpea reproductive traits were highly sensitive to abiotic stresses compared to the vegetative growth and development. A total stress response index (TSRI) technique, derived from all vegetative and reproductive parameters, was used to screen genotypes for their stress tolerance to UVB or combination of stresses. An increase in water use efficiency while maintaining higher rate of photosynthesis was an important drought tolerance mechanism in tolerant cowpea genotypes. Using principal component analysis technique, four groups of the genotypes were identified for their drought tolerance. Evaluating same genotypes across stress conditions revealed that no single genotype has the absolute tolerance characters to all stress conditions. The identified diversity for abiotic stress tolerance among cowpea genotypes and associated traits can be used to develop tolerant genotypes suitable for an agro-ecological niche though traditional breeding or genetic engineering methods.
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SPATIAL AND TEMPORAL VARIABILITY OF SURFACE COVER IN AN ESTUARINE ECOSYSTEM FROM SATELLITE IMAGERY AND FIELD OBSERVATIONSWijekoon, Nishanthi 12 November 2007 (has links)
No description available.
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PRINCIPAL COMPONENT ANALYSIS OF SEDIMENT DEPOSITED IN THE VILLAGE OF TITIANA FROM THE SOLOMON ISLANDS TSUNAMI OF APRIL 2, 2007Woodward, Stephen M. 17 April 2009 (has links)
No description available.
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Multivariate Analysis of Prokaryotic Amino Acid Usage Bias: A Computational Method for Understanding Protein Building Block Selection in Primitive OrganismsRaiford, Douglas Whitmore, III 06 December 2005 (has links)
No description available.
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FAULT DIAGNOSIS OF VEHICULAR ELECTRIC POWER GENERATION AND STORAGEUliyar, Hithesh Sanjiva 28 October 2010 (has links)
No description available.
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Human Action Recognition by Principal Component Analysis of Motion CurvesChivers, Daniel Stephen 15 December 2012 (has links)
No description available.
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Adaptive weighted local textural features for illumination, expression and occlusion invariant face recognitionCui, Chen 30 August 2013 (has links)
No description available.
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Generalized Principal Component Analysis: Dimensionality Reduction through the Projection of Natural ParametersLandgraf, Andrew J. 15 October 2015 (has links)
No description available.
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Digital video watermarking using singular value decomposition and two-dimensional principal component analysisKaufman, Jason R. 14 April 2006 (has links)
No description available.
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SINGULAR VALUE DECOMPOSITION AND 2D PRINCIPAL COMPONENT ANALYSIS OF IRIS-BIOMETRICS FOR AUTOMATIC HUMAN IDENTIFICATIONBrown, Michael J. 05 September 2006 (has links)
No description available.
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