Molecular approach to characterization of rice landraces of Eastern India with SSR markers

Chakravorty, Ashim; Ghosh, Pujaita

doi:10.15373/22778179/sep2013/8

Cited by 5 publications

(6 citation statements)

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“…The cumulative variance of 76.376% by the first five axes with eigenvalue of > 1.0 shows that the related traits which belong to the axes displayed great impact on the morphology of these genotypes, and could efficiently be used for choice among them. In general, the results are in agreement with those reported by Chakravorty et al, (2013), Gana et al, (2013) and Sarwar et al, (2015).…”

Section: Principal Component Analysissupporting

confidence: 93%

“…The genetic development of any plant is highly dependent on the amount of several genetic parameters, such as, genotypic and phenotypic variances, genotypic and phenotypic coefficient of variation (GCV and PCV), broad sense heritability and genetic advance on which the breeding methods are used for its further amendment. The magnitude of variability is determined by genotypic and phenotypic coefficient of variances which help the botanical descriptors by knowledge about proportional amount of variability in different traits (Chakravorty et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

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Genetic Variability Study of some Rice Genotypes (Oryza sativa L.) for Morphological, Yield and Grain Quality Traits

El-Hadi

El-Maksoud

El-Abd

et al. 2017

Journal of Agricultural Chemistry and Biotechnology

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The present investigation aimed to study the genetic diversity among some genotypes of rice in two rice successive seasons 2014 and 2015 at the experimental farm of Sakha research station. Thus, genotypic coefficient of variance (GCV), phenotypic coefficient of variance (PCV), heritability in broad sense (h 2 ) and genetic advance (GA) were determined for all the studied traits. In addition, the nature and magnitude of genetic divergence estimated in 24 rice genotypes using Mahalanobis D 2 -statistics by considering 17 quantitative traits. High estimates of GCV and PCV were recorded for panicle excretion%, gelatinization temperature, grain elongation% and amylose content%. Heritability in broad sense was high for all characters under study. High heritability coupled with high genetic advance were recorded for number of filled grains/panicle and plant height traits. Based on genetic distance, the 24 studied genotypes were grouped into 11 clusters. Cluster III was the largest and consisted of five genotypes, followed by cluster X with four genotypes, while clusters VI and XI contained two genotypes for each one. However, clusters I, V, VII, VIII and IX included one genotypes for each one. The highest inter clusters distance (102.605) was between cluster V and XI while, the lowest one was found between cluster II and X (22.017). Principal component analysis revealed that seven quantitative traits (grain length, grain shape, plant height, amylose content%, 1000-grain weight, number of panicles/plant and panicle length) were significantly influenced the variation in these genotypes. Therefore, the present investigation determined the genetic variability in some genotypes that could be used to improve the rice breeding programme with respect studied traits.

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Section: Principal Component Analysissupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Genetic Variability Study of some Rice Genotypes (Oryza sativa L.) for Morphological, Yield and Grain Quality Traits

El-Hadi

El-Maksoud

El-Abd

et al. 2017

Journal of Agricultural Chemistry and Biotechnology

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“…Perusal of literature pertaining to SSR primers used in the present study reveals that RM1 has been widely used by rice workers. PIC values of 0.47 (Martin et al 2012), 0.50 (Chakravorty and Gosh 2013), 0.53 (Shah et al 2013), 0.21 (Zhu et al 2012), 0.64 (Wong et al 2009), 0.36 (present study) have been reported for RM1. Similarly, RM 206 has also been used by many rice workers and have found the PIC values of 0.68 (Martin et al 2012), 0.57 (Shah et al 2013), 0.16 (Zhu et al 2012), 0.53 (Wong et al 2009), which are more or less similar to that recorded in present study (0.57).…”

Section: Polymorphism Of Ssr Markerssupporting

confidence: 53%

SSR based genetic diversity of pigmented and aromatic rice (Oryza sativa L.) genotypes of the western Himalayan region of India

Ashraf

Husaini

Bhat

et al. 2016

Physiol Mol Biol Plants

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A set of 24 of SSR markers were used to estimate the genetic diversity in 16 rice genotypes found in Western Himalayas of Kashmir and Himachal Pradesh, India. The level of polymorphism among the genotypes of rice was evaluated from the number of alleles and PIC value for each of the 24 SSR loci. A total of 68 alleles were detected across the 16 genotypes through the use of these 24 SSR markers The number of alleles per locus generated varied from 2 (RM 338, RM 452, RM 171) to 6 (RM 585, RM 249, RM 481, RM 162). The PIC values varied from 0.36 (RM 1) to 0.86 (RM 249) with an average of 0.62 per locus. Based on information generated, the genotypes got separated in six different clusters. Cluster 1 comprised of 4 genotypes viz; Zag 1, Zag 13, Pusa sugandh 3, and Zag 14, separated from each other at a similarity value of 0.40. Cluster second comprised of 3 landraces viz; Zag 2. Zag 4 and Zag10 separated from each other at a similarity value of 0.45. Cluster third comprised of 3 genotypes viz; Grey rice, Mushk budji and Kamad separated from each other at a similarity value of 0.46. Cluster fourth had 2 landraces viz; Kawa kreed and Loual anzul, and was not sub clustered. Fifth cluster had 3 genotypes viz; Zag 12, Purple rice and Jhelum separated from each other at a similarity value of 0.28. Cluster 6 comprised of a single popular variety i.e. Shalimar rice 1 with independent lineage.

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“…Moreover, the genotypes with the largest genetic distance in yield-attributing parameters would result in the complementation of gene effects in the hybridization program [ 65 ]. Grain morphological traits may reveal the ideal genetic diversity of indigenous rice varieties [ 66 ]. The main characteristics that helped our study's diversity to be expressed were NGP, PH, SYP, FF, LBR, and TW ( Table 6 ).…”

Section: Discussionmentioning

confidence: 99%

Genetic characterization and diversity analysis of indigenous aromatic rice

Mondal,

Pradhan,

Das

et al. 2024

Heliyon

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Molecular approach to characterization of rice landraces of Eastern India with SSR markers

Cited by 5 publications

References 0 publications

Genetic Variability Study of some Rice Genotypes (Oryza sativa L.) for Morphological, Yield and Grain Quality Traits

Genetic Variability Study of some Rice Genotypes (Oryza sativa L.) for Morphological, Yield and Grain Quality Traits

SSR based genetic diversity of pigmented and aromatic rice (Oryza sativa L.) genotypes of the western Himalayan region of India

Genetic characterization and diversity analysis of indigenous aromatic rice

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