Genetic variability for yield and related attributes of upland rice genotypes in semi arid zone (Sudan)

Osman, Khalid A.; Mustafa, Ahmed M.; Ali, Farhan; Yonglain, Zheng; Fazhan, Qiu

doi:10.5897/ajar12.529

Cited by 49 publications

(40 citation statements)

References 13 publications

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“…The path coefficient analysis showed that root length (0.487), root dry weight (0.394) and shoot dry weight (0.047) had direct positive effect on standard evaluation score at genotypic level (Table 4) where live leaves (%) (0.168), total number of roots (0.006), chlorophyll content (0.243) and shoot fresh weight (0.102) had direct positive effect on standard evaluation score at phenotypic level (Table 5) indicating their importance in determining complex characters. A similar finding has also been reported by Osman et al (2012). Chlorophyll content (−0.065) had maximum direct negative effect on standard evaluation score followed by total number of roots (−0.101), live leaves (%) (−0.112), root fresh weight (−0.267), shoot length (−0.417), shoot fresh weight (−0.538) and survival rate (−0.675) at genotypic level (Table 4) and root fresh weight (−0.081) had maximum direct negative effect on standard evaluation score at phenotypic level followed by shoot length (−0.106), survival rate (−0.113), shoot dry weight (−0.153), root length (−0.172) and root dry weight (−0.594) (Table 5).…”

Section: Path Analysis Of the Traitssupporting

confidence: 79%

Estimation of genetic variability, correlation and path coefficient analysis in local landraces of rice (Oryza sativa L.) for the improvement of salinity tolerance

Rasel¹,

Hassan²,

Hoque³

et al. 2018

J Bangladesh Agric Univ

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Twenty eight local rice landraces were assessed for eleven morphological traits for the improvement of salt tolerance ability of rice genotypes. Genotypic variance (σ 2 g), phenotypic variance (σ 2 p), phenotypic co-variance (PCV), genotypic co-variance (GCV), heritability, genetic advance, genetic advance as a percentage of mean, correlation coefficient and path coefficient were estimated. For all the traits, PCV was higher than the GCV indicating that they were controlled by non-additive gene action and selection for the improvement of these traits would be promising. Among the traits, survival rate of plant exhibited high estimates of PCV (460.72) and GCV (324.73) indicated wide range of variability for these traits where lowest phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) where low PCV and GCV were observed for root dry weight (0.17 & 0.12) followed by shoot dry weight (0.31 & 0.16) and total number of roots (0.61 & 0.34) indicating lack of inherent variability and limited scope for improvement through selection for these traits among the genotypes. Highest heritability had observed in all traits except chlorophyll content and root length and maximum value of heritability was noticed for shoot length (75.96%). High heritability along with high genetic advance was noticed for survival rate of plant (31.14%) followed by live leaves percentage (11.98) and the lowest genetic advance was found in root dry weight (0.58) and shoot dry weight (0.58). Correlation study revealed that significant negative correlations at both phenotypic and genotypic level exist between standard evaluation score (SES) and survival rate (%), root length, shoot length, root fresh weight, root dry weight and shoot dry weight at the seedling stage further confirmed the importance of these parameters as useful selection criteria for screening for salt tolerance rice genotypes. Path analysis revealed that the root length (0.487), root dry weight (0.394) and shoot dry weight (0.047) had direct positive effect on standard evaluation score at genotypic level where live leaves (%) per plant (0.168), total number of roots (0.006), chlorophyll content (0.243) and shoot fresh weight (0.102) had direct positive effect on standard evaluation score at phenotypic level. From the correlation and path analysis it can be concluded that root length, root dry weight and shoot dry weight would be more promising for the improvement of salt tolerance in rice genotypes.

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Section: Path Analysis Of the Traitssupporting

confidence: 79%

Estimation of genetic variability, correlation and path coefficient analysis in local landraces of rice (Oryza sativa L.) for the improvement of salinity tolerance

Rasel¹,

Hassan²,

Hoque³

et al. 2018

J Bangladesh Agric Univ

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“…To boost the yield potential of upland rice, it is necessary to identify cultivars with improved yield and other desirable agronomic characters, to overcome the global problem of hunger and starvation, especially in African countries [7]. Genetic variation is the basis of plant breeding and provides a great array of genotypes that can be selected to develop new varieties or breeding materials [8].…”

Section: Introductionmentioning

confidence: 99%

Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativaL.) Genotypes Based on Quantitative Traits

Tuhina-Khatun

Hanafi

Rafii

et al. 2015

BioMed Research International

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Upland rice is important for sustainable crop production to meet future food demands. The expansion in area of irrigated rice faces limitations due to water scarcity resulting from climate change. Therefore, this research aimed to identify potential genotypes and suitable traits of upland rice germplasm for breeding programmes. Forty-three genotypes were evaluated in a randomised complete block design with three replications. All genotypes exhibited a wide and significant variation for 22 traits. The highest phenotypic and genotypic coefficient of variation was recorded for the number of filled grains/panicle and yields/plant (g). The highest heritability was found for photosynthetic rate, transpiration rate, stomatal conductance, intercellular CO2, and number of filled grains/panicle and yields/plant (g). Cluster analysis based on 22 traits grouped the 43 rice genotypes into five clusters. Cluster II was the largest and consisted of 20 genotypes mostly originating from the Philippines. The first four principle components of 22 traits accounted for about 72% of the total variation and indicated a wide variation among the genotypes. The selected best trait of the number of filled grains/panicle and yields/plant (g), which showed high heritability and high genetic advance, could be used as a selection criterion for hybridisation programmes in the future.

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“…Earlier workers like Abarshahr et al, (2011) and Osman et al, (2012) have reported the significant differences among the genotypes for all the characters they considered. The estimates of mean and range for all 10 quantitative traits were indicated in table 2.…”

Section: Variability and Genetic Parametermentioning

confidence: 99%

Revealing Genetic Variability and Trait Association Studies in Landraces of Rice (Oryza sativa L.) Under Controlled and Drought Conditions

Kumar¹,

Gangaprasad²,

Raghavendra³

et al. 2017

Int.J.Curr.Microbiol.App.Sci

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Genetic variability for yield and related attributes of upland rice genotypes in semi arid zone (Sudan)

Cited by 49 publications

References 13 publications

Estimation of genetic variability, correlation and path coefficient analysis in local landraces of rice (Oryza sativa L.) for the improvement of salinity tolerance

Estimation of genetic variability, correlation and path coefficient analysis in local landraces of rice (Oryza sativa L.) for the improvement of salinity tolerance

Genetic Variation, Heritability, and Diversity Analysis of Upland Rice (Oryza sativaL.) Genotypes Based on Quantitative Traits

Revealing Genetic Variability and Trait Association Studies in Landraces of Rice (Oryza sativa L.) Under Controlled and Drought Conditions

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