期刊论文详细信息
Dynamic Chiropractic
Variability and genetic diversity assessment in physic nut (Jatropha curcas L.)
Arvind Kumar1  Hariom Kumar Sharma2  Arvind Shukla3 
[1] Crop Improvement Division, Central Research Institute for Jute and Allied Fibres (CRIJAF), Barrackpore, Kolkata-700 120, West Bengal, India.;Department of Genetics and Plant Breeding, College of Agriculture, G.B. Pant University of Agriculture and Technology, Pantnagar-263 145, Uttarakhand, India.;Department of Plant Physiology, College of Basic Science and Humanities, G.B. Pant University of Agriculture and Technology, Pantnagar-263 145, Uttarakhand, India.
关键词: Jatropha curcas;    variability;    heritability;    genetic advance;    genetic diversity;    euclidean distance;    clustering.;   
DOI  :  10.5897/JMPR12.1164
学科分类:医学(综合)
来源: MPA Media
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【 摘 要 】

A trial was conducted to assess genetic parameters and diversity in physic nut (Jatropha curcasL.). Data were collected on ten biometric traits during year 2007 to 2008 and 2008 to 2009.GenotypeIndira Gandhi Agricultural University(IGAU)-Raipur ranked first for seed yield (0.269, 0.492 kg/plant) in year 2007 to 2008 and 2008 to 2009, respectively. In 2007 to 2008, dry fruit yield/plant accounted highestphenotypic coefficient of variation(PCV) (40.27%) while seed yield/plant recorded highestgenotypic coefficient of variation(GCV) (26.36%) in comparison to other traits. In contrast, in 2008 to 2009, seed yield/plant had highest PCV (45.88%) as well as GCV (34.27%). High estimates of heritabilities (h2) coupled with high genetic gains (GA) were registered for number of fruit clusters/plant, seed yield/plant and dry fruit yield/plant for both years which implies that direct selection would be effective for improvement of these traits. The maximum Euclidean distance of 11.21% was registered between IGAU Raipur and Lower Sowan. Non-hierarchical Euclidean analysis grouped forty six genotypes ofJ. curcasinto five non-overlapping clusters. The maximum (7.723) inter-cluster distance was noticed between cluster NC-I and NC-IV whereas, minimum (2.747) inter-cluster distances was in between NC-I and NC-V. Based on three methods of clustering namely; hierarchical clustering, non-hierarchical clustering and metroglyph clustering, pooled clusters were formed which were found to be effective in selection of genotypes for hybridization.

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