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S. R. Shinde ¹, Kamlesh Kumar ², R. M. Pawar ³

Affiliations
1 Department of Agricultural Botany, College of Agriculture, Kolhapur (M.S.), IN
2 Division of Agricultural Botany, College of Agriculture, Kolhapur (M.S.), IN
3 Department of Agricultural Botany, College of Agriculture, Bharati Vidyapeeth's Loknete Mohanrao Kadam, Kadegaon, Sangli (M.S.), IN

Abstract

Studies on genetic variability, character association and path co-efficient analysis were conducted on 40 rice genotypes. Analysis of variance revealed considerable variability among the genotypes for all the characters. A high genotypic and phenotypic co-efficient of variation was observed for grain yield per plant, straw yield per plant, productive tillers per plant, spikelets per panicle, harvest index, 1000 grain weight, number of panicles per running meter, spikelet fertility, plant height, days to 50 per cent flowering and panicle length. Spikelets per panicle showed the highest broad sense heritability (95.81%). Grain yield per plant showed high value of heritability coupled with low genetic advance. The genotypic correlations among the yield traits and their path co-efficient were estimated. The grain yield per plant showed significant positive correlation with harvest index, 1000 grain weight, straw yield per plant, plant height and productive tillers per plant. The traits days to maturity, plant height, straw yield per plant and harvest index had moderate to high positive direct effect on grain yield per plant. The study revealed that genetic improvement of grain yield in rice is admissible by selecting characters having high positive correlation and positive direct effect.

Keywords

Oryza sativa, Heritability, Genetic Advance, Correlation, Path Co-Efficient.

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Kamlesh Kumar ¹, S. R. Shinde ², S. M. Jagtap ³

Affiliations
1 Division of Agricultural Botany, College of Agriculture, Kolhapur (M.S.), IN
2 Department of Agricultural Botany, College of Agriculture, Kolhapur (M.S.), IN
3 Department of Soil Science and Agricultural Chemistry, College of Agriculture, Kolhapur (M.S.), IN

Abstract

Genetic diversity was assessed in 40 genotypes of rice for 12 quantitative characters including grain yield using Mahalanobis D² statistics. The D² values between all possible pairs of 40 genotypes ranged from 26.32 to 404.814. The results revealed that 40 genotypes were grouped into 8 clusters with substantial divergence between them. Cluster I was very large comprising 24 genotypes followed by cluster II with 10 genotypes, while clusters III to VIII were solitary clusters. The maximum inter-cluster distance was obtained between cluster VI and VII (D = 20.12) followed by those between cluster VII and VIII (D = 18.56) which may serve as potential parents for hybridization, whereas, minimum between cluster III and IV (D = 5.13). The highest intra cluster distance was recorded for cluster II (D = 7.96) and lowest for cluster I (D = 6.62). The genotypes in the cluster VI had lowest mean value (89.67) for days to 50 per cent flowering indicating their use in breeding program for development of early maturing varieties. Cluster VIII recorded high grain yield per plant showing its potential for yield improvement. The characters number of spikelets per panicle and days to 50 per cent flowering contributed maximum in the manifestation of genetic divergence. RDN-20, RDN-11, Phule Radha, RDN-18 and RDN-5 may serve as potential donors for future hybridization programmes.

Keywords

Oryza sativa, Genetic Diversity, Cluster Analysis, D² Analysis.

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Kamlesh Kumar ¹, Bernd Lehmann ²

Affiliations
1 Atomic Minerals Directorate for Exploration and Research, Central Region, AMD Complex, Civil Lines, Nagpur - 440 001, IN
2 Institute of Mineralogy and Mineral Resources, Technical University of Clausthal, Clausthal -Zellerfeld, DE

Abstract

No Abstract.

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Riaz Ahmed Shaikh ¹, Jian-Ping Li ¹, Asif Khan ¹, Kamlesh Kumar ¹

Affiliations
1 School of Computer Science & Engineering, University of Electronic Science and Technology of China, Chengdu - 611731, Sichuan, China

Abstract

Background/Objectives: Unstructured random scene perception and understanding is a challenging problem in the field of computer vision and image processing. Methods/Statistical analysis: Two images with very different appearance may have the same color, texture and shape features. To recognize two different pictures having similar color, texture and shape we can apply spatial investigation. Findings: A methodology in the light of Markov random field has been proposed in this work to recuperate the fundamental spatial layout from a solitary image and start to examine its use as a foundation for scene understanding and content analysis in content based image retrieval. Our representation comprises of three key components (1) coarsely depicting the orientation of significant scene surfaces, (2) an examination of low level features for the understanding of image, and (3) a shape obliged Markov random field definition that enforces shape priors over the regions. Application/Improvements: We experimentally assess different Markov random field formations and exhibit the adequacy of our proposed approach in scene understanding and content analysis.

Keywords

CBIR, Content Analysis, MRF, Shape, Spatial Layout

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Kumari Shanti ¹, Kamlesh Kumar ², Pooran Chand ³, Krishna Kumari ⁴

Affiliations
1 Division of Genetics, IARI, New Delhi, IN
2 Department of Genetics and Plant Breeding, N.D. University of Agriculture and Technology, Faizabad (U.P.), IN
3 Department of Genetics and Plant Breeding, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (U.P.), IN
4 Department of Botany, C.C.S. University, Meerut (U.P.), IN

Abstract

An experiment was conducted to assess the genetic variability, heritability and genetic advance during Rabi-2012-13 at N.D.U.A. and T., Faizabad with forty four germplasm of yellow sarson. The data were recorded on 13 characters days to 50% flowering, days to maturity, plant height (cm), primary branches per plant, length of main raceme (cm), number of siliquae on main raceme, number of seeds per siliqua, length of siliqua (cm), biological yield (g), seed yield per plant (g), harvest index (%), 1000-seed weight (g) and oil content (%). The highest estimates phenotypic (PCV) and genotypic (GCV) co-efficient variation were found in plant height (cm) PCV=52.81 per cent, GCV=41.73 per cent. The lowest value of PCV and GCV was recorded for siliqua length (PCV=0.14%, GCV=0.06%), the value of heritability (h²b) ranged from 15.56 (oil content) to 92.32 per cent (days to 50 % flowering). Higher estimates of heritability were observed for days to 50 per cent flowering, primary branches (87%), seed yield/plant (88.11%) and plant height (79.03%) genetic advance in per cent of mean was exhibited highest for primary branches per plant (49.07%) and lowest for oil content (0.55%).

Keywords

Yellow Sarson, Genotypes and Phenotypes Co-Efficient of Variation, Heritability and Genetic Advance in Percentage of Mean.

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Kamlesh Kumar ¹, Ajay Singh ¹

Affiliations
1 Department of Zoology D D U Gorakhpur University, Gorakhpur-273009, IN

Abstract

Presence of predatory and weed fishes in fish cultured pond is also serious problem due to their faster growth rate and better utilization of food and cultured carp habitat. Due to their carnivorous nature they engulf the finger lings of cultured crops and adversely affect the aquaculture production. The WHO and FAO have tested several thousand synthetic compound for the control of weed and predatory fishes through these pesticide so for not provide them self to be entirely satisfactory with a growing awareness of environmental pollution, effort are being made to find out piscicidal product from plant origin. Being product of bio synthesis, these are easily biodegradable in nature. Exposure to 96 hour of fish with sub lethal doses (40% and 80% of LC₅₀, 24h) of latex powder of Nerium indcum caused significant (P<0.05) decrement in the level of total protein, glycogen and nuclic acids and enhancement in level of total free amino acid and activity of enzyme proteases. The reversibility in action and non-toxic effect on mammals are the important positive feature of these botanical piscicides, which reduce the threat of environmental pollution.

Keywords

Predatory Fish, Piscicide, Glycogen, Channa punctuates, Nerium indcum, Proteases.

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Santu Patra ¹, U. P. Sharma ², Kamlesh Kumar ³, D. K. Sinha ⁴

Affiliations
1 Atomic Minerals Directorate for Exploration and Research, Hyderabad 500 016, India, IN
2 Atomic Minerals Directorate for Exploration and Research, Nagpur 400 001, India, IN
3 House No. 171, Swami Colony, Phase 1, Akar Nagar, Katol Road, Nagpur 440 013, India, IN
4 Flat 511, Block Garnet (E), Rainbow Vista@Rock Garden, Moosapet, Hyderabad 500 018, India, IN

Abstract

Here we report anomalous uranium concentration in tourmaline-bearing leucogranite occurring at Nuranang, Tawang district, Arunachal Pradesh, North East India. The leucogranite occurs as concordant layers parallel to gneissic foliation, similar to the gneisses of the Palaeopro­terozoic Se La Group. It is medium to coarse-grained, and is composed of quartz, potash feldspar and plagioclase as dominant minerals with variable proportions of muscovite, biotite, tourmaline and garnet. Apatite, zircon and pyrite are accessory minerals. Geochemically, the leucogranite is alkali-rich, peraluminous and highly differentiated. It is emplaced in a syn to late orogenic collision tectonic setting. Analyses of 10 granite samples collected at 500 m intervals show relatively high radioelemental concentration (U: 5–96 ppm, Th: 5–23 ppm, K: 2.23–7.72% and Th/U; 0.07–1.00, n = 10) compared to normal granite. Anomalous uranium concentration in the leucogranite is observed in a 200 m ´ 50 m area at Nuranang. Samples from this area have assayed 0.016–0.029% U3O8 and <0.005% ThO2. Leachable U3O8 content determined in five samples varies from 81.25% to 87.50%. Preliminary studies indicate that uranium is in the adsorbed state associated with iron oxide and alte­red feldspar/clay. The findings of anomalous uranium concentration in tourmaline-bearing leucogranite likely open up a new target area for uranium search in the Higher Himalaya of Arunachal Pradesh

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