Genetic Variability and Selection Criteria in Rice

Vanisree, S.; K., Swapna,; Raju, Ch. Damodar; Raju, C. S.; Sreedhar, M.

doi:10.7897/2321-6328.01413

Cited by 32 publications

(34 citation statements)

References 3 publications

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“…The phenotypic coefficients of variability (14.57%) were non-significantly higher than that of the genotype (14.07%) in fertility percentage, indicating that the variation is due to genetic content, with minimal involvement of the environment. Similar results were reported by Vanisree et al (2013), who observed a slightly higher phenotypic than genotypic coefficient of variation in fertility percentage. The estimation of high broad sense heritability (93.1%) in fertility percentage reflected the ease of selection during an earlier generation (Vanisree et al, 2013).…”

Section: Fertility Percentagesupporting

confidence: 90%

“…Similar results were reported by Vanisree et al (2013), who observed a slightly higher phenotypic than genotypic coefficient of variation in fertility percentage. The estimation of high broad sense heritability (93.1%) in fertility percentage reflected the ease of selection during an earlier generation (Vanisree et al, 2013).…”

Section: Fertility Percentagesupporting

confidence: 90%

“…The flag leaf area and 1000-grain weight showed a non-significant correlation with a maximum number of traits, while the plant height and panicle length were significantly correlated with a maximum number of traits (Table 10). These results are supported by the findings of other researchers, who obtained similar results, when investigated the correlation among yield-related traits of rice (Shanthakumar et al, 1998;Ashfaq et al, 2012;Idris and Mohamed, 2013;Vanisree et al, 2013 NS Non-significance. *P ≤ 0.05%.…”

Section: Correlation Analysessupporting

confidence: 85%

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Genetic diversity in mutated and non-mutated rice varieties

Naeem¹,

Ghouri²,

Shahid³

et al. 2015

Genet. Mol. Res.

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ABSTRACT. We studied the genetic variability due to mutation induced by γ-rays (10, 15, and 20 Kr) on various traits of twelve rice genotypes. Mutated and non-mutated seeds were sown in the field between July 2013 and 2014 using a split plot design. Yield and yield-related trait data was recorded, which showed significant (P < 0.05) genotypic and irradiation effects. Gamma radiation exerted non-significant effects on the panicle length of all plants, indicating the uniformity of performance of this character at different radiation levels. The plant height, grains per main panicle, panicle length, 1000-grain weight, grain weight per main panicle, and fertility percentage was minimum in Basmati-198, Basmati-Pak, Shaheen-2000, Super Basmati, Basmati-385, and Super Basmati, respectively, when exposed to radiation at 20 Kr. However, Basmati-370 attained maximum flag leaf area at this level of radiation. Broad sense heritability ranged from 72.0 to 97.7%, indicating the 17110 M. Naeem et al.©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 14 (4): 17109-17123 (2015) possibility of selection during earlier generations. Phenotypic correlation was positive and significant between grain weight per main panicle with panicle length and flag leaf area. Number of grains per main panicle and genotypic correlation were positive among grain weight per main panicle, panicle length, fertility percentage, 1000-grain weight, and plant height, indicating the effectiveness of these traits in the selection for yield. Phylogenetic analyses revealed a pair-wise similarity ranging from 0.51-0.76 before mutation and 0.39-0.89 after mutation. This study proved that γ-rays at 20 Kr would be most effective in creating genetic variability in the existing germplasm.

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Section: Fertility Percentagesupporting

confidence: 90%

Section: Fertility Percentagesupporting

confidence: 90%

Section: Correlation Analysessupporting

confidence: 85%

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Genetic diversity in mutated and non-mutated rice varieties

Naeem¹,

Ghouri²,

Shahid³

et al. 2015

Genet. Mol. Res.

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“…Filled grains per panicle had high positive indirect effect on grain yield through effective tillers, plant height, panicle length, flag leaf length, flag leaf width. Similar results were reported by Vanisree et al (2013) for effective tillers, plant height, panicle length and Vinodini et al (2005) for test weight.…”

Section: Path Coefficient Analysissupporting

confidence: 89%

Analysis of variability, correlation and path coefficient studiesfor yield and quality traits in Rice (Oryza Sativa L.)

Devi

Chandra

Lingaiah

et al. 2017

ASD

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Variability, correlation and path analysis for yield and quality traits were studied on 27 rice genotypes. The higher estimates of PCV and GCV were observed for yield per plant (42.04) and filled seeds per panicle (33.9) indicate possibility of genetic improvement through direct selection. High heritability in broad sense coupled with high genetic advance as percent of mean exhibited by effective tillers, plant height, flag leaf length, filled grains per panicle, test weight, yield per plant, head rice recovery and length/breadth ratio indicating preponderance of additive gene action which provide good scope for further improvement by selection. Grain yield per plant had highest significant positive association with filled seeds per panicle, plant height, flag leaf length, effective tillers, flag leaf width and panicle length indicating importance of these characters for yield improvement, while head rice recovery was found to be significantly and positively correlated with milling percent and hulling percent. Path analysis reveals that test weight (3.48), effective tillers (1.57), and filled grains per panicle (1.41) had positive direct effect on grain yield per plant. Among the quality traits kernel length followed by milling percent and kernel elongation ratio had direct effect on head rice recovery.

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“…This possibly occurred because of the genotypes used and the environmental conditions under which the study was conducted. Other authors reported low heritability for Percentage spikelets fertility per plant in rice (Vanisree et al, 2013 andAnyanwu andObi, 2014). The results obtained from regression analysis revealed that additive gene effect (a) only was significant for percentage spikelets fertility per plant; while dominance gene effect (d) and epistasis (aa), (ad) as well (dd) were not significant.…”

Section: Discussionmentioning

confidence: 96%