Multivariate Analysis of Phenotypic Diversity of Landraces of Rice of West Bengal

Chakravorty, Ashim; Ghosh, Parthadeb; Sahu, Pradip Kumar

doi:10.9734/ajea/2013/2303

Cited by 63 publications

(50 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multivariate analyses were performed using GENSTAT 5.13 programme. Sohrabi et al (2012) and Chakravorty et al (2013) observed the contribution of 76.7 and 75.9% of the first six and four components respectively to the total variation in rice. On the other hand, Hossain (2008) observed that the first eight axes accounted for about 90% of the total variations by PCA in 78 aromatic and fine grain rice landraces.…”

Section: Methodsmentioning

confidence: 98%

“…The clustering pattern also revealed that the genotypes constellated in the cluster were not originated from the same geographic region. Chakravorty et al (2013) by evaluating 51 rice land races, Hosan et al (2010) by studying 20 landraces, Rajesh et al (2010) by assessing 29 land races and Medhabati et al (2013) by studying 37 wild and cultivated rice also found no parallel relationship between genetic and geographical divergence. Based on the values of principal component score 1 and 2 obtained from the PCA, a two-dimensional scatter diagram (Z1-Z2 ) (Fig.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Genetic Divergence of Balam Rice (Oryza sativa L.) Germplasm of Bangladesh

Ahmed¹,

Parveen²,

Bashar

et al. 2015

Bangladesh Rice J.

View full text Add to dashboard Cite

Forty genotypes of Balam rice germplasm of Bangladesh were studied for 17 morphophysicochemical characters at BRRI during 2009-11. The cluster analysis using Mahalanobis' D 2 statistics, grouped the genotypes into seven clusters, where no duplicate germplasm was found for the studied characters. The highest number of genotypes (8) was constellated into clusters I, III and V and the lowest (2) was in cluster IV. The intraand inter-cluster distances were maximum (1.17 and 21.16) in cluster VII and between clusters II and IV and minimum (0.27 and 2.23) in cluster IV and between clusters II and VII respectively. Based on the values of principal component score, the two-dimensional scatter diagram (Z1-Z2) also distributed the genotypes into seven groups. The genotype of cluster IV, produced the highest flag and penultimate leaf area (1136 cm 2 ), culm diameter (7.2 mm), days to maturity (152 days), primary and secondary branches per panicle (63), grain yield per panicle (4.9 g), 1000-grain weight (29.3 g), grain yield per hill (31.3 g), cooking time (19 min) and amylose content (24.1%). Similarly, the genotype of cluster I, produced the tallest plant (148 cm), maximum straw yield per hill (40.0 g) and protein content (9.6%), while the genotype of cluster VI, produced the highest panicle per plant (21) and the genotype of cluster III, produced the longest grain (8.8 mm). Therefore, it may be possible to obtain the highest mean values for the maximum studied characters, if the genotypes of cluster IV are crossed with the genotypes of cluster I, cluster III and cluster VI respectively. Besides, the canonical variate analysis showed that the grain length, cooking time, straw yield per hill, days to maturity, plant height and grain yield per panicle contributed maximum to the genetic divergence of the studied germplasms. Finally, the study revealed that the Balam rice germplasm can offer a diverse valuable gene reservoir to utilize in hybridization programmes for the improvement of Balam rice.

show abstract

Section: Methodsmentioning

confidence: 98%

Section: Methodsmentioning

confidence: 99%

Genetic Divergence of Balam Rice (Oryza sativa L.) Germplasm of Bangladesh

Ahmed¹,

Parveen²,

Bashar

et al. 2015

Bangladesh Rice J.

View full text Add to dashboard Cite

show abstract

“…Islam et al (2016) observed that the first nine axes accounted about 90% of the total variations by PCA in 113 aromatic and fine grain rice landraces. On the other hand, Sohrabi et al (2012) and Chakravorty et al (2013) observed the contribution of 76.7 and 75.9% of the first six and four components, respectively to the total variation in rice. On the basis of principal component axes I (PCA score 1) and II (PCA score II), a two dimension chart (Z1-Z2) of the 31 genotypes was constructed where the genotypes are presented in Fig.1.…”

Section: Quantitative Traits Characterizationmentioning

confidence: 93%

Genetic Diversity in Aus rice (Oryza sativa L.) Genotypes of Bangladesh

Akter

Begum

Islam

et al. 2018

Bangladesh J. Agric. Res

View full text Add to dashboard Cite

Genetic diversity in 31 traditional Bangladeshi Aus rice genotypes were studied under transplanted condition through Mahalanobis D 2 statistic for grain yield and yield contributing characters. The genotypes were grouped into five clusters. The inter-cluster distances were higher than intra-cluster distances indicating wider genetic diversity among the genotypes of different clusters. The intracluster distances were lower in all the cases reflecting homogeneity of the genotypes within the clusters. The cluster II contained the highest number of genotypes (08) and the cluster I and III contained the lowest (05). The highest intra-cluster distance was noticed for the cluster II and the lowest for cluster IV. The highest inter-cluster distance was observed between cluster II and V followed by cluster III and V, cluster I and V and the lowest between cluster I and III. Regarding inter-cluster distance, the genotypes of cluster V showed high genetic distance from all other clusters. The genotypes from cluster V could be hybridized with the genotypes of other characters of other clusters for producing transgressive segregants. The highest cluster means for yield, effective tiller number and grain length, were obtained from cluster I; whereas the lowest mean value for yield, culm length, plant height and grain breadth were found in cluster II. Therefore, genotypes under cluster I, cluster II and cluster V might be selected for future breeding program as parents for crossing to produce new recombinants with desired traits.

show abstract

“…Parikh et al (2012) characterized 71 aromatic rice germplasm and found the highest plant height, panicle length, hundred seed weight and head rice recovery as 146.05 cm, 26.9 cm, 2.99 g and 73.7%, respectively by evaluating 22 morphological and agronomical traits. Chakravorty et al (2013) observed the highest leaf length as 61.0 cm, leaf breadth as 2.20 cm, plant height as 43.0 cm, days to maturity as 172 days, panicle length as 30.50 cm, primary branch per panicle as 16, grain length as 11.2 mm, 1000-grain weight as 29.91 g and grain per panicle as 334 etc. in 51 rice land races of West Bengal.…”

Section: Results and Discussion Analysis Of Variance Of Morpho-physicmentioning

confidence: 92%

Morpho-Physicochemical Characterization of Balam Rice (Oryza sativa L.) Land races of Bangladesh

Ahmed¹,

Bashar²,

Wazuddin³

et al. 2015

International J. of Plant Breeding and Genetics

View full text Add to dashboard Cite

In total 40 land races of Balam rice of Bangladesh were studied at BRRI during 2009-11. The analysis of variance of 38 morpho-physicochemical characters showed highly significant differences among the genotypes. The mean performances showed high degree of variations among the genotypes. The culm height varied from 61.5 (B31) to 137.26 cm (B11), effective tiller number per hill from 6.33 (B34) to 24.67 (B30), straw yield per hill from 8.44 (B21) to 57.93 g (B39), primary branch number from 6.33 (B21) to 14.33 (B17), secondary branch number from 11 (B26) to 50 (B29), grain length from 6.43 (B33) to 10.83 mm (B8), 1000-grain weight from 16.44 (B32) to 33.22 g (B39) and grain yield per hill from 8.47 (B26) to 33.31 g (B17), respectively. The mean separations showed that no single duplicate genotype was present in the land races. Besides, high GCV and h 2 b together with high GAPM were observed in culm height, 1000-grain weight, LB ratio, panicle exertion, secondary branch number, plant height etc. suggested that selection may be effective for these characters in segregating generations. In correlation coefficients between different characters, 63 correlation coefficients were positive in nature and only 10 estimates were negative. This represents very highly favorable situation for obtaining high response to selection in improving yield and yield components in rice germplasm evaluated. Therefore, these characters emerged as most important associates of grain yield in rice. Finally, the traditional rice germplasm can offer valuable gene pools, which need to be characterized by using molecular tools for QTL mapping of valuable traits.

show abstract

Multivariate Analysis of Phenotypic Diversity of Landraces of Rice of West Bengal

Cited by 63 publications

References 11 publications

Genetic Divergence of Balam Rice (Oryza sativa L.) Germplasm of Bangladesh

Genetic Divergence of Balam Rice (Oryza sativa L.) Germplasm of Bangladesh

Genetic Diversity in Aus rice (Oryza sativa L.) Genotypes of Bangladesh

Morpho-Physicochemical Characterization of Balam Rice (Oryza sativa L.) Land races of Bangladesh

Contact Info

Product

Resources

About