2015
DOI: 10.3329/bjar.v40i2.24570
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Genetic variability, character association and path analysis in Brassica rapa L. Genotypes

Abstract: Thirty three genotypes of Brassica rapa L. were evaluated in order to find out their inter-genotypic variability; character association and path coefficient of seed yield/plant and its component characters. BARI sarisha-6 x TORI-7 S-45 showed best result in terms of early maturity (75 days) and higher seed yield/plant (5.28g) than check varieties. The character, plant height, was highly influenced by the environment whereas, all other characters influenced the least. Number of secondary branches/plant showed t… Show more

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Cited by 7 publications
(12 citation statements)
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“…The highest magnitudes of GCV coupled with the highest value of PCV indicated the presence of a wide range of genotypic and phenotypic variability, and hence insured ample scope of improvement of these traits through selection. The result is in agreement with previous findings for other medicinal and oil bearing crops; in osmium for plant height, number of branches plant -1 , fresh herb yield and oil content (Smita & Kishori, 2018), in brassica for number of branches plant -1 (Naznin et al, 2015) and in sesame for number of branches per plant (Parameshwarappa et al, 2009).…”
Section: Variance Componentssupporting
confidence: 93%
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“…The highest magnitudes of GCV coupled with the highest value of PCV indicated the presence of a wide range of genotypic and phenotypic variability, and hence insured ample scope of improvement of these traits through selection. The result is in agreement with previous findings for other medicinal and oil bearing crops; in osmium for plant height, number of branches plant -1 , fresh herb yield and oil content (Smita & Kishori, 2018), in brassica for number of branches plant -1 (Naznin et al, 2015) and in sesame for number of branches per plant (Parameshwarappa et al, 2009).…”
Section: Variance Componentssupporting
confidence: 93%
“…The genotypic correlation coefficients were higher in magnitude than the corresponding phenotypic correlation coefficients for most of the characters, signifying a strong inherent association between the characters studied. Lower phenotypic correlation coefficients than the genotypic correlation coefficient for the Sangwan et al, 2013;Kumar et al, 2014;Naznin et al, 2015). In few cases (internode numbers, canopy width and leaf length), phenotypic correlation coefficients were higher than their respective genotypic correlation coefficients showing that both environmental and genotypic correlations acted in the same direction, and maximized phenotypic expression.…”
Section: Association Among Charactersmentioning
confidence: 93%
“…It was maximum in G 4 (246.53) followed by G 2 (219.66) while the minimum number was in G 1 (90.64). The findings exceeded the range reported by Naznin et al, (2015), Karmokar (2018) and Ullah (2018) who reported that the number of siliqua plant -1 for different lines and varieties of B. rapa. Similar result had been observed by Karmokar (2018) and Ullah (2018) who reported that siliqua length for different lines and varieties of B. rapa ranged from 4.67 to 5.96 cm and 5.07 to 6.38 cm respectively.…”
Section: Mean Performancecontrasting
confidence: 69%
“…From the loading plot, it became clear that parameters previously used as a substitution for yield/plant, such as the seeds/pod, plant height, pods per plant, TSW and raceme length [ 55 , 56 ] were significantly associated with yield/plant in this study ( Fig 5 ) but not with silique length. These results suggest that commercially-used proxy, such as silique length, may not be the significant gauge of yield for breeding and selection purposes [ 56 , 57 ]. Silique length had negative relationship with other morpho-biochemical; yield linked parameters except TSP.…”
Section: Discussionmentioning
confidence: 69%