Genetic variability and interrelationships among quantitative traits in rapeseed (Brassica napus l.) advanced lines

Rameeh, Valiollah

doi:10.4038/jas.v10i3.8069

Cited by 10 publications

(11 citation statements)

References 13 publications

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“…Number of siliquae/plant showed high heritability (93.16%) with high genetic advance in percent of mean (37.74%). Similar result was also found by Rameeh (2013) for this trait. Number of secondary branches/plant exhibited high heritability (75.69%) with very high genetic advance in percentage of mean (73.55%).…”

Section: Resultssupporting

confidence: 90%

Genetic variability, character association and path analysis in Brassica rapa L. Genotypes

Naznin

Kawochar

Sultana

et al. 2015

Bangladesh J. Agric. Res

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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 the highest phenotypic and genotypic coefficient of variation. Moreover, number of siliquae/plant, number of secondary branches/plant and number of primary branches/plant showed high heritability (93.16%, 75.69% and 68.03%, respectively) couple with high genetic advance in percent of mean (37.74%, 73.55% and 26.82%, successively). The seed yield/plant showed significant positive correlation with number of siliquae/plant (r g = 0.7011 ** , r p = 0.5684 ** ), number of primary branches/plant (r g = 0.5611 ** , r p = 0.4016 * ) and number of secondary branches/plant (r g = 0.5160 ** , r p = 0.4098 * ) revealing that selection based on these traits would be judicious. Path analysis showed that the number of siliquae/plant (0.4679), number of primary branches/plant (0.2823) and number of secondary branches/plant (0.0092) were the most important contributors to seed yield/plant. The results indicated that number of siliquae/plant, number of primary branches/plant and number of secondary branches/plant can be used as selection criteria to increase seed yield/plant in rapeseed.

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Section: Resultssupporting

confidence: 90%

Genetic variability, character association and path analysis in Brassica rapa L. Genotypes

Naznin

Kawochar

Sultana

et al. 2015

Bangladesh J. Agric. Res

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“…The predominant influence of environment on the number of pods per plant is demonstrated by the low value of heritability coefficient obtained on the basis of experiments. Similar results were presented by Ali et al (2003), Marinković et al (2003) and Sharafi et al (2015), whereas Sadat et al (2010), Zare and Sharafzadeh (2012) and Rameeh (2015) showed that the number of pods per plant is highly heritable. The lowest variability was observed for thousand seed weight.…”

Section: Discussionsupporting

confidence: 83%

“…Clustering analysis on the basis of yield and yield components can be used for a multidimensional evaluation of genotypes from different geographic origins or from advanced breeding lines and cultivars (Jankulovska et al 2014;Rameeh 2015). Such a clustering of genotypes enables them to be comprehensively assessed for practical use in plant breeding.…”

Section: Discussionmentioning

confidence: 99%

Genetic variability in oilseed rape DH line population developed from F1 hybrids obtained by crossing black-and yellow-seeded DH lines. I. yield and yield components

et al. 2021

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The aims of this study were to estimate the diversity of doubled haploid population of winter oilseed rape (Brassica napus L.) in terms of yield, yield structure and seed colour, to determine the correlation between the studied traits and their heritability, and to select the best yellow-seeded genotypes. We studied 44 doubled haploids, obtained from F1 hybrids of a cross between a black-seeded DH H2-26 line and a yellow-seeded DH Z-114 line, as well as the parental forms. The greatest variation in DH line populations was observed for seed colour, seed yield and the number of pods per plant, while the smallest variability was obtained for thousand seed weight. Seed yield was positively correlated with the number of pods per plant and the number of seeds per pod, but negatively correlated with yellow seed colour. The broad-sense heritability coefficient was highest for seed colour and number of seeds per pod, and lowest for the number of pods per plant. When divided into 4 homogeneous groups according to seed colour, the genotypes differed significantly with respect to all the studied traits. A group of DH lines with black seed colour was characterized by the highest seed yield as well as highest thousand seed weight. The lowest yielding DH line group, that with yellow–brown seeds, had on average the highest number of seeds per pod and the lowest thousand seed weight. The best yellow-seeded genotypes were selected. Four yellow-seeded lines gave significantly higher yields than the yellow-seeded parental line.

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“…Nath et al, (2003) reported 5 clusters which support this result. Rameeh (2013) reported 4 clusters. Two dimensional scatter diagram was prepared by using principal component score I in X-axis and II in Y-axis.…”

Section: Cluster Analysismentioning

confidence: 99%

Genetic divergence in Brassica rapa L.

Naznin

Kawochar

Sultana

et al. 2015

Bangladesh J. Agric. Res

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Different multivariate analysis techniques were used to classify 33 Brassica rapa L. genotypes. The genotypes were grouped into five clusters. Cluster I contained the maximum number of genotypes. Cluster III earned the highest cluster mean value for number of primary branches/plant, number of secondary branches/plant, number of siliquae/plant and seed yield/plant. Therefore, more emphasis can be given on cluster III for selecting genotypes as parents for the hybridization program. The highest intra-cluster distance (3.822) was found in cluster I and the lowest (0.000) in cluster V. The highest inter-cluster distance (15.705) was observed between clusters III and V showing wide diversity among the groups. Principal component analysis (PCA) showed that the first three principal components accounted for 99.38 % of the total variation observed. Analysis of the factor loading of the component character indicated that the characters number of siliquae/plant, plant height and days to maturity were found responsible for genetic divergence.

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Genetic variability and interrelationships among quantitative traits in rapeseed (Brassica napus l.) advanced lines

Abstract: Improvement of the new rapeseed (Brassica napus L.) cultivars requires efficient tools to

Cited by 10 publications

References 13 publications

Genetic variability, character association and path analysis in Brassica rapa L. Genotypes

Genetic variability, character association and path analysis in Brassica rapa L. Genotypes

Genetic variability in oilseed rape DH line population developed from F1 hybrids obtained by crossing black-and yellow-seeded DH lines. I. yield and yield components

Genetic divergence in Brassica rapa L.

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