Quantitative parameters analysis of variance

An experiment was conducted with 9 colocasia [Colocasia esculenta var. antiquorom Schott.] genotypes to evaluate the estimate of genetic variability for different characters. The experiment was conducted using a Randomized Complete Block Design with three replications. The genetic parameters between yield and yield contributing characters of different colocasia genotypes were studied. Analysis of variance showed significant variation among the genotypes for all tested characters.

5p trinhthamhodang11 27-04-2021 20 1   Download

In the recent time, pumpkin has got industrial importance with the development of pulp powder as a nutraceutical supplement to Vitamin A requirement. Pumpkin is cheaper source of Vitamin A when compared to carrot which necessitates specific climatic requirement for its production and high productivity per unit area. An experiment was conducted at the Department of Vegetable Crops, Horticulture College and Research Institute, Tamil Nadu Agricultural University, Coimbatore to find out suitable pumpkin genotype for earliness, high yield and quality.

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An experiment was made to assess extant of genetic variability among fifty germplasm accessions of Indian mustard with three check varieties for various quantitative characters, heritability and genetic advance also estimated for such characters. Analysis of variance revealed highly significant differences for all the characters. The genotypes showed moderate to high level of genotypic coefficient of variance (GCV) and phenotypic coefficient of variance (PCV).

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In the present investigation 168 germplasm lines and five checks of groundnut were evaluated during Kharif 2016 to study genetic parameter viz., variability, heritability and genetic advance for fourteen characters. The analysis of variance for all quantitative characters revealed that the presence of ample amount of genetic variation for all the characters among the entries.

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The present investigation for genetic variability was made based on the data recorded for sixteen yield and yield contributing quantitative and qualitative characters in twenty one rice genotypes using statistical tool.There are significant differences among the genotypes for all the characters under study showed by analysis of variance.

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The present study was carried out in at N E Borlaug Crop Research Center , G B Pant University of Agriculture and Technology Pantnagar, Uttarakhand to estimate the genetic parameters such as genotypic coefficient of variance (GCV), phenotypic coefficient of variance (PCV), heritability (h2 ) and genetic advance as percent of mean (GAM) and inter-character association for 12 quantitative traits of soybean (Glycine max L) germplasm. Experimental material of the investigation comprised of 276 genotypes along with 4 checks.

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The present study was carried out at N E Borlaug Crop Research Center, G B Pant University of Agriculture and Technology Pantnagar, Uttarakhand to estimate the genetic parameters such as genotypic coefficient of variance (GCV), phenotypic coefficient of variance (PCV), heritability (h2 ) and genetic advance as percent of mean (GAM) for 12 quantitative traits of soybean (Glycine max L). Experimental material of the investigation comprised of 120 genotypes along with 5 checks.

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The present investigation was carried out to assess the genetic variability parameters, correlation and path analysis in 32 rice elite germplasm for 13 yield and its contributing traits during kharif 2018 at Field Experimentation Centre, Department of Genetics and Plant Breeding, Naini Agricultural Institute, Sam Higginbottom of Agriculture, Technology and Sciences, Uttar Pradesh in Randomized Block Design, replicated thrice.

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Thirteen genotypes of early cauliflower were characterized for different quantitative parameters at the Vegetable Research Farm, at Bihar Agricultural University, Sabour during the Rabi season of 2010-2011 and 2011-2012. The experiment was laid out in a randomized complete block design with three replications. Pooled analysis of variance of the fifteen genotypes over two years indicated significant differences among the genotypes for all the characters under study.

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The thirty-five diverse genotypes of finger millet including three checks viz., PRM-1, PRM-2 and VL-149 for seed quality parameters at seed testing laboratory of the department of seed science and technology, College of Forestry, Ranichauri Campus, V. C. S. G. Uttarakhand University of Horticulture and Forestry. The data on 14 quantitative traits viz.

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The present investigation was carried out to study the vvariability and heritability component estimates for different characters of carrot. The experimental material comprised of 96 genotypes of carrot and laid out in an augmented block design comprising of 3 checks (Ghataprabha Local, Vigro Kuruda and Pusa Vrishti) with 6 blocks to screen the genotypes comprising of European and Asiatic types with diverse colors at University of horticultural Sciences, Bagalkot during 2016-2017. Observations were recorded on 18 quantitative traits including root and plant morphological traits.

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To assess the mean performance and extent of genetic variability, 40 half sib progenies of Grewia optiva Drummnond were evaluated in randomized complete block design with three replications. The observations were recorded on various morphometeric and fodder quality parameters. The analysis of variance indicated highly significant differences among the various half sib families for all the traits studied. The experimental results revealed that out of 40 families ten families viz.

9p kethamoi2 15-12-2019 18 0   Download

(BQ) This paper investigated the effects of machining parameters on surface roughness of wire EDMed DC53 die steel. The investigated machining parameters were pulse-on time, pulse-off time, pulse-peak current, and wire tension. Analysis of variance (ANOVA) technique was used to find out the parameters affecting the surface roughness. Assumptions of ANOVA were discussed and then examined through residual analysis. Quantitative testing methods on residual analysis were employed in place of the typical qualitative testing techniques.

4p xuanphuongdhts 27-03-2017 45 1   Download

(BQ) This paper presents an investigation of the effects of machining variables on the surface roughness of wire-EDMed DC53 die steel. In this study, the machining variables investigated were pulse-peak current, pulse-on time, pulse-off time, and wire tension. Analysis of variance (ANOVA) technique was used to find out the variables affecting the surface roughness. Assumptions of ANOVA were discussed and carefully examined using analysis of residuals. Quantitative testing methods on residual analysis were used in place of the typical qualitative testing techniques.

6p xuanphuongdhts 27-03-2017 52 2   Download