Genetic Diversity of Upland Rice Germplasm in Malaysia Based on Quantitative Traits

Sohrabi, Mehdi; Rafii, Mohd Y.; Hanafi, Mohamed; Akmar, A. Siti Nor; Latif, Abdul

doi:10.1100/2012/416291

Cited by 66 publications

(48 citation statements)

References 18 publications

(20 reference statements)

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“…As a result, the genotypes under cluster III with clusters IV, V and VI, might be selected as parents for future breeding program depending upon the objectives. Hosan et al (2010), Siddique et al (2010Siddique et al ( , 2013 and Sohrabi et al (2012) earlier reported similar trend of conclusions on rice using Mahalanobis' D 2 statistics. Therefore, the genotypes under cluster III, cluster IV, cluster V, cluster VI might be selected for future breeding program.…”

Section: Resultssupporting

confidence: 55%

Genetic Diversity Assessment of Quantitative Traits in Landraces of Aus Rice

Siddique

Khalequzzaman

Islam

et al. 2016

Bangla J Plant Breeding & Genetics

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Genetic diversity of 46 land races of Aus rice was studied under irrigated condition through Mahalanobis D 2 statistic for grain yield and yield contributing characters. The genotypes were grouped into seven clusters. The highest intergenotype distance was observed between the genotypes Lalgalong and Langrabeni and the lowest between Saita and Korchamuri respectively. The intra cluster distances were low for all the clusters ranging from 0.64 in cluster IV to 1.17 in cluster I. The highest inter cluster value was 11.45 (between cluster III and V) and the lowest was 4.36 (between cluster VI and VII). The highest cluster means for effective tiller number and grain yield per hill were obtained from cluster III. On the other hand, the highest leaf width and highest spikelet fertility from cluster IV, tallest plant and highest grain breadth from cluster VI, highest 1000-grain weight from cluster V whereas the lowest mean value for days to 50% flowering and days to maturity were found in cluster VI. The genotypes from cluster III could be hybridized with the genotypes of other clusters for producing transgressive segregants. Canonicalvector analysis revealed that days to 50% flowering and days to maturity were contributed maximum to the genetic divergence. Principal Coordinate Analysis (PCoA) revealed that the genotypes Begun bitchi, Rang mahal, Laxmijhota, Katar, Chiknal, Manikmendal, Baismugur were found far away from the centroid of the cluster and can be selected as parents for further breeding programs. The results suggested that Lalgalong (acc. no. 1655) and Langrabeni (acc. no. 1645 ) can be crossed with the genotypes of cluster III and cluster VI to develop more promising as well as high yielding variety for Aus season.

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Section: Resultssupporting

confidence: 55%

Genetic Diversity Assessment of Quantitative Traits in Landraces of Aus Rice

Siddique

Khalequzzaman

Islam

et al. 2016

Bangla J Plant Breeding & Genetics

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“…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. Hosan et al (2010), Mahalingam et al (2012), Sohrabi et al (2012) and Medhabati et al (2013) earlier reported similar trend of conclusions on rice using Mahalanobis' D 2 statistics. In the present study, it was also appeared from the canonical analysis that 73.85% of the total variation was accounted for canonical root 1 and 15.71% by canonical root 2 (Table 6).…”

Section: Methodssupporting

confidence: 55%

“…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: 99%

“…The 40 genotypes of Balam rice germplasm were grouped into seven clusters on the basis of nonhierarchal clustering method using Mahalanobis' D 2 statistics for 17 morphophysicochemical characters (Table 3). Sohrabi et al (2012) reported six clusters in 50 Malaysian upland rice accessions for 12 growth traits, yield and yield components. Roy et al (2004) found five clusters from 35 Aman rice cultivars for 10 traits during Kharif season and Datt et al (2003) observed four clusters from 61 elite Basmati rice genotypes by using Mahalanobis' D 2 statistics.…”

Section: Methodsmentioning

confidence: 99%

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

Ahmed¹,

Parveen²,

Bashar

et al. 2015

Bangladesh Rice J.

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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.

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“…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: 99%

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

Akter

Begum

Islam

et al. 2018

Bangladesh J. Agric. Res

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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.

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Genetic Diversity of Upland Rice Germplasm in Malaysia Based on Quantitative Traits

Cited by 66 publications

References 18 publications

Genetic Diversity Assessment of Quantitative Traits in Landraces of Aus Rice

Genetic Diversity Assessment of Quantitative Traits in Landraces of Aus Rice

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

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

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