Effect of Organic Practices on Fruit Quality in Papaya Cv. Surya

A field experiment was conducted during 2009-10 at Indian Institute of Horticultural Research, Bangalore using papaya cv. 'Surya'. Ten organic nutrient treatments along with recommended dose of fertilizers and control (no manure/fertilizer) were used totaling twelve treatment combinations of FYM, biofertilizers and vermicompost. Fruit quality parameters such as total carotenoids, lycopene, TSS, average fruit weight and ascorbic acid content were analyzed. Among the treatments, application of 50% recommended dose of fertilizers in the form of farm yard manure (FYM) applied as Azospirillum+Phosphate solubilizing bacteria+Mycorrhiza+Vermicompost showed high level of carotenoids, lycopene and low levels of ascorbic acid. TSS and average fruit weight were not affected by various organic nutrient treatments

Influence of Organic Practices on Growth and Fruit Yield in Papaya Cv. Surya

A field trial on organic practices in papaya cv. Surya was conducted during 2009-2011 with 10 nutrient combinations involving farm yard manure, biofertilizers and VAM along with 100% recommended dose of fertilizers and no manure/ fertilizer treatment. Vegetative parameters were recorded periodically. At 18 months after planting, plant height, plant girth and number of leaves were found to be significant. Results indicated that, crop growth was better with organic treatments compared to no manure/fertilizer treatment. Fruit yield and quality parameters were also recorded. Fruit yield and average fruit weight were found to be significant. Maximum fruit yield of 32kg/plant (80 t/ ha) was recorded under 75% recommended dose of fertilizer applied as farm yard manure+vermicompost, which was significantly superior to that in 100% recommended dose of fertilizer for the 18-month cropping period

Evaluations on underdetermined blind source separation in adverse environments using time-frequency masking

The successful implementation of speech processing systems in the real world depends on its ability to handle adverse acoustic conditions with undesirable factors such as room reverberation and background noise. In this study, an extension to the established multiple sensors degenerate unmixing estimation technique (MENUET) algorithm for blind source separation is proposed based on the fuzzy c-means clustering to yield improvements in separation ability for underdetermined situations using a nonlinear microphone array. However, rather than test the blind source separation ability solely on reverberant conditions, this paper extends this to include a variety of simulated and real-world noisy environments. Results reported encouraging separation ability and improved perceptual quality of the separated sources for such adverse conditions. Not only does this establish this proposed methodology as a credible improvement to the system, but also implies further applicability in areas such as noise suppression in adverse acoustic environments

Computational procedures for implementing the optimal control problem of higher-order nondispersive wave using the extended conjugate gradient algorithm

The Extended Conjugate Gradient Method, ECGM, [1] was used to compute the control and state gradients of the unconstrained optimal control problem for higher-order nondispersive wave. Also computed are the descent directions for both the control and the state variables. These functions are the most important ingredients for implementing the Extended Conjugate Gradient Algorithm.Journal of the Nigerian Association of Mathematical Physics, Volume 15 (November, 2009), pp 85 - 9

Numerical computation of the optimal control model of higher-order nondispersive wave with the extended conjugate gradient algorithm

The paper implemented the optimal control problem of higher-order nondispersive wave. The Extended Conjugate Gradient Method [1], was used to compute the optimal values of the control and state variables of the model while the analytical expressions of the state and control variables generated the analytical values. The corresponding values of the penalty function were also computed for each pair of the state and control variables.Journal of the Nigerian Association of Mathematical Physics, Volume 15 (November, 2009), pp 79 - 8