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Genetic Variability and Character Associations in Brassica

A. Rabman
Bangladelh Institute of Nuclear Agriculture Mymensingh.

M. L. Das
Bangladelh Institute of Nuclear Agriculture Mymensingh.

M. A. Hamid
Bangladelh Institute of Nuclear Agriculture Mymensingh.

A. J. Miah
Bangladelh Institute of Nuclear Agriculture Mymensingh.

M. A. Mansur
Bangladelh Institute of Nuclear Agriculture Mymensingh.

M. H. R. Khan
Bangladelh Institute of Nuclear Agriculture Mymensingh.

Abstract/ Executive Summary:

Thirty one strain. of Brassica campastris and five of juucea were studied (or phonotypic and .eaotypic variabilities and ' the pheaotypic and g!aotypic correlation coefficients in relation yield and yield component. High genetic coefficients of variation was observed for number of primary branches and pod.s / plant. Herl tabileitystimatos were larger for all the characters except percentage. of oil. The genetic advance was higher for number of primary branches, number of pods/ plant and lower for percentages of oil. At the genotypic level. yield showed a significant positive correlation will) number of primary branches / plant. number of pods / plant and 1000. seed weight. Path coefficient analysis revealed that the components; number of pod. /plan' had the highest direct influence on .seed yield and its . the most' reliable trait for selection in Brassica speces.

Keywords: Genetic,Variability, Brassica

Location: BAU, Mymensingh

Start Date:

End Date:

Program Area: Variety and Species

Commodity: Mustard

Objectives:

To find out the relationship among different quantitative characters associated with plant yield.

Methodology:

The materials comprised of 36 strains from Brassica campestrls L. Out of which 20 were brown seeded and 11 were yellow seeded and S strains form Brassica juncea (L.) Czern & CO!. collected from various localities of Bang- ladesh. Tori 7 and Rai S of Brassica earn- pestris and Bt assica juncea respectively were used as checks. The experiment was carried out during 1978-79 winter season . ( October-March) at the Bangladesh Agricultural University farm in (l, randomized blook design with 2 replications. The unit plot size was 2. Sm X 2. Sm having 25 em distance from row to row. Seeds were sown on, 7 November 1978 in. lines with a rate of 7.5 kilogram seed -per hectare. Recommded doses of NPK fertilizers were' applied and cultural practices were done as routine procedure to ensure normal growth of plants. At maturity. 10 plants from each plot were chosen at random from the middle 1 rows and records were taken on 9 characters, viz; plant height, number of primary branchesJ plant. number of pods/plant, pod length, number of seeds/pod, days to maturity, l000-seed weight, percentage of oil and seed yield per plant. For recor- di~g number of seeds/pod only the pods on the main. raceme were considered. -. . ... Oil percentage was determined by Soxhlet apparatus. and by NMR ( Nuclear Magnetic Resonance, techniques. The mean values obtained were analysed for a randomized 'block design, The genotypic and phenotypic variances were estimated by using the formula .given by Johnson et al. (1955). Genotypic and phenotypic coefficient of variability were estimated according to the formula given by Burton (1952). Heritability in broad sense was estimated according to Hanson, et 01. e 1956) The genetic advance as percentage of mean, and phenotypic and genotypic correlation coefficients were computed using the formula suggested by Coms- tock and Robinson (1952) and Al-jibouri, et al, (1958) respectively. Path coeffi- cient analysis was carried out according to the method suggested by" Dewey and Lu (1959).

Source of Information: Bangladesh J. Agrll.Sci. 11 (2) 125-133: 1984

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

High genetic coefficients of variation was observed for number of primary branches and pod.s / plant. Herl tabileitystimatos were larger for all the characters except percentage. of oil. The genetic advance was higher for number of primary branches, number of pods/ plant and lower for percentages of oil. At the phenotypic level. yield showed a significant positive correlation with number of primary branches / plant. number of pods / plant and 1000. seed weight. Path coefficient analysis revealed that the components; number of pod. /plan' had the highest direct influence on .seed yield and its . the most' reliable trait for selection in Brassica species.

Knowledge Management: Journal