Genetic diversity analysis for yield attributing traits in rice genotypes

Guru, Tulasi; Padma, V.; Reddy, D. Vishnu Vardhan; Rao, P. R.; Rao, D. N.; Thatikunta, Ramesh; Radhakrishna, K.

doi:10.5958/2348-7542.2017.00053.5

Cited by 6 publications

(7 citation statements)

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“…Genetic distance as high as 18054 (VI and VII) in nine clusters for 12 traits in 70 genotypes was reported by Ovung et al, (2012). In intra cluster distance, values of 4.05 (IV), 4.685 (III), 8.04 (I), 9.54 (VII) and 12.19 (IV) close to the present study has been published by Chandramohan et al, (2016), Singh et al, (2018), Baradhan and Thangavel (2011), Guru et al, (2017) and Kumar et al, (2014). Extreme values of 0 (Bomit et al, 2018) and 2907 Ovung et al, (2012) have also been encountered in similar investigations on genetic diversity.…”

Section: Intra and Inter Cluster Distancessupporting

confidence: 90%

“…Vennila et al, (2011) claimed that grain length (14.51%) followed by grain breadth (10.49%) were among the top three contributing characters for divergence. Test weight as the major contributing trait for divergence (30.76% and 43.32%) were published by Chandramohan et al, (2016) and Guru et al, (2017) respectively. Selection of the parents depends on the per cent contribution of the trait towards divergence (Nayak et al, 2004).…”

Section: Contribution Of Traits To Genetic Divergencementioning

confidence: 99%

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Genetic Divergence Studies in Subspecies of Oryza sativa L.

Sangeetha¹,

Saraswathi²,

Amudha³

et al. 2019

Int.J.Curr.Microbiol.App.Sci

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An experiment was carried out to study the divergence among twenty four rice genotypes (14 indica and 10 japonica lines) for 15 agro-morphological traits using D 2 statistics and at molecular level using 114SSR markers. The cluster analysis using Mahalonobis' D 2 statistics classified the genotypes into five clusters. The cluster IV was the largest with seven indica and three tropical japonica types. The second largest cluster (V) accommodated four tropical japonica and two indica genotypes. The intra cluster distance ranged from 1.077 to 8.299 and it showed a gradual increase from cluster I to cluster V. Cluster III with four genotypes showed the highest inter cluster distance with cluster I (14.312), followed by cluster II (12.032) and cluster IV (11.734). Cluster II with AC 38479 and IR 64 showed the highest mean values for five traits viz., panicle length, number of primary branches panicle -1 , number of secondary branches panicle -1 , filled grains panicle -1 and single plant yield and the lowest mean values for hundred grain weight, kernel length, kernel breadth and kernel thickness which are desirable. The kernel traits viz., kernel L/B ratio (35.14%), 100 grain weight (25.73%), kernel thickness (14.13%) and kernel breadth (12.31%) alone contributed for 87.31% of the total genetic divergence. In molecular diversity analysis, 69 SSR markers were detected to be polymorphic out of 114 markers. In total, 216 alleles were detected and the number of alleles amplified ranged between two to seven. The average number of alleles obtained was 3.13. The Polymorphism Information Content (PIC) which reflects the allelic diversity varied from 0.08 (RM2) to 0.81(RM3317) and its average was 0.5. The dendrogram based on the UPGMA classified the 24 genotypes into four major distinguishable clusters with two sub clusters for cluster I. The Jaccard's dissimilarity index was lowest (0.34) between CB 16144 and CB 15138; highest (0.89) between CB 16174 and Pato as well as between CB 16174 and AC 38476. It is concluded that in both methods, some distinct genotypes in each group were accommodated in the same cluster without separation. Also, no distinct clusters were formed for each of the two sub groups indica and tropical japonica separately but the genotypes of both the groups were spread over all clusters indicating sufficient genetic diversity within the groups which can be utilized in selecting parents for hybridization program.

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Section: Intra and Inter Cluster Distancessupporting

confidence: 90%

Section: Contribution Of Traits To Genetic Divergencementioning

confidence: 99%

Genetic Divergence Studies in Subspecies of Oryza sativa L.

Sangeetha¹,

Saraswathi²,

Amudha³

et al. 2019

Int.J.Curr.Microbiol.App.Sci

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show abstract

“…In the present investigation the genotypes were grouped into 6 clusters ( Shivani et al, (2018), Kumari et al, (2018) and Guru et al, (2017). The inter cluster distance (Table 2) ranged from 52.38 to 282.49.…”

Section: Resultsmentioning

confidence: 64%

Study of Genetic Divergence in Lowland Rice Genotypes of Bihar

Kushwaha¹,

Kant²,

Kumar³

et al. 2020

Int.J.Curr.Microbiol.App.Sci

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“…Therefore, the hybridization between them would yield desirable progenies with maximum favourable genes. Total grains per panicle, days to flowering, test weight and filled grains per panicle contributed 86.52% towards total divergence as observed by Guru et al, (2017).…”

Section: Resultsmentioning

confidence: 71%