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Character Association and Path Co-efficient Analysis in Brassica Rapa L.

M. H. KHAN
Scientific Officer (Plant Breeding)
Oilseed Research Centre, Bangladesh Agricultural Research Institute (BARI), Gazipur

S. R. BHUIYAN
Professor
Dept. of Genetics & Plant Breeding, Sher-e- Bangla Agricultural University, Dhaka, Bangladesh.

F. MAHMUD
Professor
Dept. of Genetics & Plant Breeding, Sher-e- Bangla Agricultural University, Dhaka, Bangladesh.

Abstract/ Executive Summary:

The experiment was carried out with 32 genotypes of Brassica rapa including two commercially cultivated varieties as checks to study their mean, range, cv (%) correlation co-efficient, and path co-efficient considering 10 different morphological characters at the experimental farm of SAU, Dhaka during November 2009 to February 2010. Significant variation was observed among all the genotypes for all the characters studied except 1000-seed weight. In general, genotypic correlations were higher than the phenotypic correlations. It indicates that there was an inherent association among them which was adversely influenced by the environment. Days to flowering showed positive significant correlation with days to maturity. Plant height showed positive significant correlation with number of primary branches/plant. Number of primary branches/plant showed positive significant correlation with siliquae/plant. Length of siliquae showed positive significant correlation with seeds/siliquae. Number of secondary branches, number of siliquae/plant, days to maturity, seeds/siliquae, and 1000-seed weight showed positive significant association with yield/plant. Path analysis showed that number of primary branches/plant, number of siliquae/plant, number of secondary branches/plant, and number of seeds/siliquae had direct effect on seed yield/plant. Considering analytical findings of correlation co-efficient, path co-efficient analysis and field performance, the genotypes G-15, G-19, G-1, G-3, G-4, G-10, G-18 G-21, and G-24 would be suitable for future hybridization programme.

Keywords: Character association, Path co-efficient analysis, B. rapa.

Location:

Start Date: 04-11-2009

End Date: 15-02-2010

Program Area: Variety and Species

Commodity: Mustard

Objectives:

The present study was undertaken to find out and establish suitable selection criteria for higher yield through study of variability and relationship between yield and yield components in Brassica rapa.

Methodology:

The present experiment was conducted at the experimental farm of Sher-eBangla Agricultural University, Dhaka-1207 during November 2009 to February 2010. A total number of 32 materials were used in this experiment where two were parents, thirty were F7 generations. The crop was fertilized at the rate of 10 tons of cowdung, 250 kg urea, 175 kg triple super phosphate (TSP), 85 kg muriate of potash (MoP), 250 kg gypsum, 3 kg zinc oxide, and boron 1 kg per hectare. The half amount of urea, total amount of cowdung, TSP, MoP, gypsum, zinc oxide, and boron were applied during final land preparation. The rest amount of urea was applied as top dressing after 25 days of sowing. The experiment was laid out in randomized complete block design (RCBD) with three replications. The total area of the experiment was 37m × 11m = 407 m² . Each replication size was 37 m × 2.7 m, total plot size was 299.7m² and the distance between replication to replication was 1 m. The spacing between line to line was 30 cm. Seeds were sown in lines in the experimental plots on 04 November 2009. The seeds were placed at about 1.5 cm depth in the soil. Intercultural operations, such as weeding, thinning, irrigation, pest management, etc. were done uniformly in all the plots. Aphid infection was found in the crop during the siliquae development stage. To control aphids, Malathion-57 EC @ 2ml/liter of water was applied. Harvesting was done from 4th to 15th February 2010 depending upon the maturity. For studying different genetic parameters and inter-relationships, ten characters were taken into consideration. The data were recorded on randomly ten selected plants for each of the parental line and F8 progenies on the following traits- days to 50% flowering, days to 80% maturity, plant height (cm), number of primary branches/plant, number of secondary branches/plant, number of siliquae/plant, siliquae length (cm), number of seeds/siliquae, 1000-seed weight (g), seed yield/plant (g). The data were analyzed for different components. Phenotypic and genotypic variance was estimated by the formula used by Johnson et al. (1955). Genotypic and phenotypic co-efficient of variation were calculated by the formula of Burton (1952). Simple correlation coefficient was obtained using the formula suggested by Clarke (1973); Singh and Chaudhary (1985). Genotypic and phenotypic correlation co-efficient were calculated following Miller et al. (1958). Path co-efficient analysis was done following the method outlined by Dewey and Lu (1959). Statistical analysis were done using Genstat 5 Release 4.1 software program (copyright 1997, Lawes Agricultural Trust, Rothamasted Experimental Station, UK).

Source of Information: Bangladesh J. Agril. Res. 38(4): 599-612, December 2013, ISSN 0258-7122

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

Plant height showed positive significant correlation with number of primary branches/plant. Number of primary branches/plant showed positive significant correlation with siliquae/plant. Length of siliquae showed positive significant correlation with seeds/siliquae. Number of secondary branches, number of siliquae/plant, days to maturity, seeds/siliquae, and 1000-seed weight showed positive significant association with yield/plant. Path analysis showed that number of primary branches/plant, number of siliquae/plant, number of secondary branches/plant, and number of seeds/siliquae had direct effect on seed yield/plant. Considering analytical findings of correlation co-efficient, path co-efficient analysis and field performance, the genotypes G-15, G-19, G-1, G-3, G-4, G-10, G-18 G-21, and G-24 would be suitable for future hybridization programme.

Knowledge Management: Journal