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Research Detail

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T Aktar
Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh

M Nuruzzaman
Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh

MS Rana
Plant Breeding Division, Bangladesh Institute of Nuclear Agriculture, Mymensingh 2202, Bangladesh

MA Hossain
Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh

L Hassan
Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh 2202, Bangladesh

An experiment was conducted to evaluate eighteen Brassica genotypes for various morphological characters and estimate association for yield and yield contributing traits. The experimented was executed following Randomized complete block design (RCBD) with three replications in the experimental farm of the department of Genetics and Plant Breeding, Bangladesh Agricultural University Mymensingh-2202. The nine yield attributing characters are studied in the experiment. The genotypes differed significantly for all the traits viz., days to 1st flowering, days to maturity, plant height, number of branches/plant, number of pod/plant, length of pod, number of seeds/pod, 1000-seed weight (g) and seed yield/plant (g).Considering the two most important traits like early maturity and yield /plant, BD-7114 performed best among the studied genotypes. Correlation coefficients among the characters were studied to determine the association between yield and it attributing components. A significant positive correlation was found between yield and its attributing characters namely with number of seeds/pod and 1000-seed weight. Path analysis revealed both direct and indirect effects on seed yield and revealed that number of seeds/pod had the highest direct effect on seed yield. The findings of the research could be exploited in future breeding programs for improving Brassica genotypes.

  Morphological characterization; yield; yield contributing traits; Brassica genotypes
  Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh
  
  
  Variety and Species
  Oilseeds

To characterize and assess the variability range, to study the relationship among different traits and the direct and indirect contribution of each trait towards yield in the Brassica species.

Plant materials: The experiment was conducted with 18 genotypes of rapeseed in the experimental farm of the department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh. The genotypes were collected from Bangladesh Agricultural Research Institute (BARI) and Sher-e- Bangla Agricultural University (SAU). Name and source of 18 genotypes are presented. Data collection and analysis: Data were collected on the following traits-days to 1st flowering, days to maturity, plant height, number of branches/plant, number of pod/plant, length of pod, number of seeds/pod, 1000-seed weight (g) and seed yield/plant (g). The experiment was designed followed by Randomized Complete Block Design (RCBD) with three replications. Analysis of variance (ANOVA) was performed using the plant breeding statistical program (Utzzal, MSTATC and PLABSTAT, Version 2N, 2007) with the following methods: Yij = gi + rj + ij; Where, Yij = Observation of genotype i in replication j gi = Effects of genotype i; ri =Effects of replication j;ij = The residual error of genotype i in replicate j. Simple correlation co-efficient and path analysis: Simple correlation co-efficient (r) was estimated with the formula followed by Singh and Chaudhary (1985).Path co-efficient analysis was done according to the procedure employed by Dewey and Lu (1995) also quoted in Singh and Chaudhary (1985) and Dabholkar (1992), using simple correlation values.

  Progressive Agriculture 30 (1): 39-47, 2019
  DOI: https://doi.org/10.3329/pa.v30i1.42207
Funding Source:
1.   Budget:  
  

The present study revealed the morphological characterization and association among various traits in eighteen genotypes of brassica. From the analysis of variance (ANOVA), significant variations were observed for all the characters among the genotypes. Significant variation among genotypes indicated existence of wide genetic diversity that would provide better scope of selection. Considering the two most important traits like early maturity and yield /plant, BD-7114 performed best among all the genotypes which would be released as variety after further trials. Number of seeds/pod and 1000-seed weight would be most prominent traits for increasing yield in Brassica. Yield is significant but negatively correlated with days to maturity. Path coefficient analysis revealed all the characters whether they had positive direct or indirect or negative direct or indirect effect on seed yield. That would be helpful for character selection program for better yield.

  Journal
  


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