Genetic diversity analysis in tossa jute (Corchorus olitorius L.) germplasm lines

An experiment was conducted to examine the magnitude of genetic diversity and characters contributing to genetic diversity among 81 tossa jute genotypes. Cluster analysis based on Euclidean squared distances and ward’s method, the genotypes were grouped into ten distinct clusters. Analysis reveals that stick weight contributes maximum to the phenotypic diversity (65.52%) followed by green weight (13.64%) and fibre yield (10.10%). Among the clusters Cluster IX recorded highest mean fibre yield (19.91g) followed by Cluster VII (18.94g) and these clusters also recorded high mean values for plant height, basal diameter, green weight and stick weight. The highest inter- cluster distance was 186.80 (between clusters II and X) followed by 161.26 (between clusters IV and X), indicating the wide genetic diversity among these clusters. The highest intra-cluster distance was observed in cluster II (20.34) and the lowest in cluster X (3.17). The average inter-cluster distances were higher than the average intra-cluster distances, which shows the presence of wide genetic diversity among the genotypes of different clusters than those of the same cluster. The first two principal components, whose Eigen values are greater than one, accounted for 74% of the total variation among the five characters. The information obtained from diversity analysis is useful in planning further breeding programme for tossa jute improvement

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Not AvailableGeneeffectsforimportantquantitative traits of five crosses of sesame (SesamumindicumL.)wereestimatedbypartitioningthemeansandvariancesofmeansofsixbasicgenerationsfromeachcrossintotheirgeneticcomponentstoassessthegeneactiongoverningtheinheritanceoftraits.The additive, dominance and digenicnon-allelic gene interactions were observed to govern most oftheyieldtraits.The non-additive gene effects weremorepronouncedthanadditiveonesformostofthetraits.TheA,B,CandDscalesshowedhighlysignificantvaluesforallthetraits and crosses studied and departure from zero indicated the presence of epistasis. But, these testsverifyonlythepresenceofepistasisbutdonotprovidethekindofgene action. This indicates the inadequacy ofscalingandjointscalingtestandpresenceofnonallelicinteractions.Thenextpossibilityistoincludetheeffectofepistasiswhichcanbeestimatedasadditivexadditive,additive x dominance and dominance x dominance geneeffects in the inheritance of the charactersNot Availabl

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Not AvailableThe extent of standard heterosis of eleven characters of sixty hybrids of sesame developed by crossing 10 lines and 6testers in line x tester fashion were evaluated during Rabi, 2007-08, 2008-09 at College Farm, College of Agriculture,ANGRAU, Hyderabad, India. The analysis of variance (line x tester) revealed significant differences among genotypesfor all the characters studied. The line x tester interactions contributed up to 79.55 per cent for capsule length followedby number of seeds per capsule (77.98%), seed yield per plant (77.15%) and number of effective primaries per plantexpressed in per cent(75.75%). The highest percentage of average heterosis was observed for seed yield per plant andnumber of effective primaries per plant. Five crosses viz., PKDS-62 x IS 562 B , SI7818 x SI-3171, KKS-98049 X SI-3171, KKS-98049 x KMR-78, CST 2001-5 x TKG-22 were identified as potential hybrids with high standard heterosisfor seed yield over better yielding commercial hybrid check Swetha til. Testing of these hybrids in all India coordinatedtrials across different states of the country may result in identification of better hybrids in the near future for commercialexploitation (2) (PDF) Evaluation of sesame crosses for heterosis of yield and yield attributing traits. Available from: https://www.researchgate.net/publication/269098978_Evaluation_of_sesame_crosses_for_heterosis_of_yield_and_yield_attributing_traits [accessed Nov 17 2018].Not Availabl

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Not AvailableGenetic diversity study was carried out among 41 sesame genotypes using seed yield and its component characters. Based on the present investigation the 41sesame genotypes were grouped into seven clusters suggesting that considerable amount of genetic diversity present across genotypes. The maximum diversity was contributed by capsules per plant followed by number of branches per plant, plant height and days to maturity. Cluster II was the largest one comprising of 17 genotypes followed by cluster I with 12 genotypes, cluster IV with five genotypes, cluster III with four genotypes, cluster V,VI, and VII, were represented by each single genotype indicating high degree of heterogeneity among the genotypes.The maximum inter cluster distance was observed between IV and VI clusters followed by clusters IV and V and clusters VI and VII while it was low between clusters V and VI, followed by clusters I and V, clusters II and VII. Maximum intra cluster distance was observed in cluster VI, followed by cluster IV, cluster III, cluster II and cluster I. The inter cluster distance in most of the cases were higher than the intra-cluster distance indicating wider genetic diversity among the genotypes of different groups. Four characters viz., capsules per plant, followed by number of branches, plant height and days to maturity contributed more than 90% towards genetic divergence. Hence, these four characters are very important for selection indicesNot Availabl

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Not AvailableGenetic diversity study was carried out among 41 sesame genotypes using seed yield and its component characters. Based on the present investigation the 41sesame genotypes were grouped into seven clusters suggesting that considerable amount of genetic diversity present across genotypes. The maximum diversity was contributed by capsules per plant followed by number of branches per plant, plant height and days to maturity. Cluster II was the largest one comprising of 17 genotypes followed by cluster I with 12 genotypes, cluster IV with five genotypes, cluster III with four genotypes, cluster V, VI, and VII, were represented by each single genotype indicating high degree of heterogeneity among the genotypes. The maximum inter cluster distance was observed between IV and VI clusters followed by clusters IV and V and clusters VI and VII while it was low between clusters V and VI, followed by clusters I and V, clusters II and VII. Maximum intra cluster distance was observed in cluster VI, followed by cluster IV, cluster III, cluster II and cluster I. The inter cluster distance in most of the cases were higher than the intra-cluster distance indicating wider genetic diversity among the genotypes of different groups. Four characters viz., capsules per plant, followed by number of branches, plant height and days to maturity contributed more than 90% towards genetic divergence. Hence, these four characters are very important for selection indices.Not Availabl

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Not AvailableA trial was conducted to assess genetic parameters and diversity in physic nut (Jatropha curcas L.). Data were collected on ten biometric traits during year 2007 to 2008 and 2008 to 2009. Genotype Indira 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 highest phenotypic coefficient of variation (PCV) (40.27%) while seed yield/plant recorded highest genotypic 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 of J. curcas into 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 forhybridization. (12) (PDF) Variability and genetic diversity assessment in physic nut (Jatropha curcas L.). Available from: https://www.researchgate.net/publication/303178007_Variability_and_genetic_diversity_assessment_in_physic_nut_Jatropha_curcas_L [accessed Nov 27 2018].Not Availabl

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Not AvailableAn experiment was conducted to examine the magnitude of genetic diversity and characters contributing to genetic diversity among 81 tossa jute genotypes. Cluster analysis based on Euclidean squared distances and ward’s method, the genotypes were grouped into ten distinct clusters. Analysis reveals that stick weight contributes maximum to the phenotypic diversity (65.52%) followed by green weight (13.64%) and fibre yield (10.10%). Among the clusters Cluster IX recorded highest mean fibre yield (19.91g) followed by Cluster VII (18.94g) and these clusters also recorded high mean values for plant height, basal diameter, green weight and stick weight. The highest inter-cluster distance was 186.80 (between clusters II and X) followed by 161.26 (between clusters IV and X), indicating the wide genetic diversity among these clusters. The highest intra-cluster distance was observed in cluster II (20.34) and the lowest in cluster X (3.17). The average inter-cluster distances were higher than the average intra-cluster distances, which shows the presence of wide genetic diversity among the genotypes of different clusters than those of the same cluster. The first two principal components, whose Eigen values are greater than one, accounted for 74% of the total variation among the five characters. The information obtained from diversity analysis is useful in planning further breeding programme for tossa jute improvementNot Availabl

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Not AvailableGuidelines for quality seed production of sesamNot Availabl