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Manivannan, A.
- Genetic Divergence Studies in Clusterbean [Cyamopsis tetragonoloba (L.) Taub.] Genotypes
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Authors
Affiliations
1 Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Madurai-625104, IN
1 Department of Plant Breeding and Genetics, Agricultural College and Research Institute, Madurai-625104, IN
Source
Indian Journal of Science and Technology, Vol 6, No 10 (2013), Pagination: 5337-5341Abstract
Forty two clusterbean genotypes collected across the country were assessed for genetic divergence using Mahalanobis D2 technique. The genetic material exhibited wide range of genetic diversity for all the characters investigated and grouped into 15 different clusters. The maximum intra cluster distance was observed in cluster XIV indicated that genotypes are having diverse genetic architecture. The maximum inter-cluster distance was recorded between cluster VI and cluster XV, indicating the presence of wide range of variability among the genotypes of the cluster. The percent contribution towards genetic diversity was highest from 100 seed weight (44.48%) followed by seed yield per plant (26.25%). On the basis of inter-cluster distances and per se performance observed in the present study a hybridization programme involving genotypes for a specific character may be selected using cluster mean values.Keywords
Clusterbean, Mahalanobis D2, Cluster AnalysisFull Text
References
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- Condition Monitoring of Focusing Nozzle in Abrasive Water Jet Machine using Sound Sensor
Abstract Views :129 |
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Authors
R. Prabu
1,
A. Manivannan
2
Affiliations
1 Department of Mechanical Engineering, St. Joseph’s College of Engineering, Old Mamallapuram Road, Semmencherry, Chennai – 600119, Tamil Nadu, IN
2 Department of Mechanical, Krishnasamy College of Engineering and Technology, Nellikuppam Main Road, S. Kumarapuram, Cuddalore – 607109, Tamil Nadu, IN
1 Department of Mechanical Engineering, St. Joseph’s College of Engineering, Old Mamallapuram Road, Semmencherry, Chennai – 600119, Tamil Nadu, IN
2 Department of Mechanical, Krishnasamy College of Engineering and Technology, Nellikuppam Main Road, S. Kumarapuram, Cuddalore – 607109, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 10, No 17 (2017), Pagination:Abstract
Objectives: The condition monitoring was done during the machining of Stainless Steel 316 Grade using a PCB microphone with a view to related the measured Sound Signal with the nozzle wear obtained. Methods/Statistical Analysis: It is done by using a Data Acquisition Device is used to connect the Computer with the microphone to analyze the signal using LAB VIEW Software. Also a Sensor signal conditioner is attached to the microphone to boost the sound signal. The machining is done by changing the abrasive flow rate and pressure parameters and the corresponding sound signal is recorded Findings: Regression analysis was carried out using Minitab 17 software and results showed that abrasive flow rate has more influence on nozzle wear rate. Regression equations were also developed for each nozzle hour based on process parameters. Also it was observed that the nozzle exit diameter increases with increase in nozzle life time. Application/Improvements: The future aspects are to develop a generalized equation for the nozzle wear rate based on the process parameters to develop a closed loop system.Keywords
Monitoring, Nozzle Wear, Steel 316 Grade, Sound Signal.Full Text
- Indigenous Knowledge in Sheep and Goat Farming Systems in Tamil Nadu, India
Abstract Views :482 |
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Authors
Affiliations
1 Madras Veterinary College, Tamil Nadu Veterinary and Animal Sciences University (TANUVAS), Department of Veterinary and Animal Husbandry Extension Education, Chennai, Tamil Nadu 600007, IN
2 VCRI, Department of Veterinary and AH Extension, Namakkal, Tamil Nadu 637002, IN
1 Madras Veterinary College, Tamil Nadu Veterinary and Animal Sciences University (TANUVAS), Department of Veterinary and Animal Husbandry Extension Education, Chennai, Tamil Nadu 600007, IN
2 VCRI, Department of Veterinary and AH Extension, Namakkal, Tamil Nadu 637002, IN
Source
Asian Agri-History, Vol 22, No 2 (2018), Pagination: 99-106Abstract
The present study was conducted in 2008 to document the indigenous knowledge prevalent in sheep and goat farming systems in Tamil Nadu, India. Fifty sheep farmers in Tirunelveli district and fifty goat farmers in Erode district were selected by proportionate random sampling method and the data were collected through an interview schedule and analysed and ranked for getting inferences. The results revealed that in sheep farming system, the traditional practices such as lamb hut (100%), washing the sheep in ponds for tick removal (100%), selecting good breeding rams (96%), sheep penning (94%), and twinning (76%) were known to sheep farmers. In goat farming system, rearing bucks for religious purpose (100%), kid house (100%), tethering (96%), and locally made shelter (84%) were known to goat farmers. A close look at the indigenous practices in sheep and goat farming systems indicates the area-specific nature of these practices/beliefs.Keywords
Goat, Penning, Religious Purpose, Sheep, Tethering.
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