Genetic Variability Study of Yield and Yield Related Traits in Rice (Oryza sativa L.) Genotypes

Girma, Beakal Tadesse; Kitil, Mihratu Amanuel; Banje, Desta Gebre; Biru, Hailu Mengistu; Serbessa, Tadiyos Bayisa

doi:10.4172/2329-8863.1000381

Cited by 14 publications

(6 citation statements)

References 15 publications

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“…Genetic parameters such as genotypic coefficient of variation (GCV), phenotypic coefficient of variation (PCV), and heritability estimates can be used to formulate breeding strategies for high-yielding crops and to gain a better understanding of genetic advancement (GA) (Singh et al 2017;Saha et al 2019). The PCV and GCV thus provide information on the level of variability in a population, whereas heritability depicts the component of a character that is passed down to future generations (Girma et al 2018;Pal et al 2016). A statistical measure used to quantify how closely two variables are associated with each other is the correlation coefficient.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Variability among maize (Zea mays L.) inbred lines for agro- morphological traits

Shrestha,

Ghimire,

Dhakal

et al. 2023

Preprint

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Variability analysis of maize inbred lines enables increased genetic gain in the maize breeding program. During spring to summer season (March to July) of 2022, we conducted a field experiment in Rampur, Chitwan, Nepal, where we evaluated 24 inbred lines of maize in α-lattice design with three replications to study genetic variability for growth and yield traits. The results of this study showed that growth and yield traits were subject to significant phenotypic and genotypic variation. The anthesis-silking interval (ASI) had the highest genotypic coefficient of variation (39.28%) and phenotypic coefficient of variation (42.81%) in comparison to other traits. Thousand-kernel weight was found to have 87% broad-sense heritability, while as ASI had 91% broad-sense heritability. The grain yield had the highest genetic advance (GA) value, which was followed by leaf area (86.21%). Four inbred line clusters were made using the Euclidean Average Linkage technique. The maximum distance (722.37) between cluster centroids in the cluster analysis suggests that clusters 2 and 4 had the greatest genetic dissimilarity. Inbred RML-76 (2262.2 kg ha-1) and RML-17 (2069.94 kg ha-1) produced the highest grain yields, respectively. The correlation analysis between grain yield and the number of kernel rows per ear (r = 0.79**), the number of kernels per kernel row (r = 0.79**), the length of the ear (r = 0.77**), and the thousand grain weight (r = 0.76**) was positive and significant.The results of our study suggested that maize productivity can be increased by utilizing genetic variability and indirect selection for traits with a high correlation to grain yield, high heritability, and high GA.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Variability among maize (Zea mays L.) inbred lines for agro- morphological traits

Shrestha,

Ghimire,

Dhakal

et al. 2023

Preprint

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show abstract

“…Selection is only effective if the parent population have significant amount of variability. Phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) provides insight information on magnitude of variability in a population and heritability shows the component of a character transmitted to future generations (Pal et al, 2016;Girma et al, 2018) Further, heritability coupled with genetic advance shows the expected genetic gain in next generation (Shukla et al, 2006). In addition, correlation between yield and yield attributing traits are prime important for indirect selection for those traits which have high heritability and closely associated to contributes to improve yield (Aditya & Bhartiya, 2013).…”

Section: Introductionmentioning

confidence: 99%

Agronomic performance and genotypic diversity for morphological traits among early maize genotypes

Adhikari

Shrestha

Dhakal

et al. 2018

IJAB

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Detailed information on the genetic diversity between maize germplasm (Zea mays L.) is useful for their systematic and efficient use in breeding programs. Fourteen early maize genotypes were studied to assess their performance and genotypic diversity at Doti, Nepal in 2015. Days to tasseling, days to silking, plant height, ear height, ear length, ear diameter and grain yield were significant among genotypes. Genotype SO3TEY-PO-BM, COMPOL-NIOBP and ACROSS-99402 were found higher yielder with earlier maturity. Days to tasseling (0.85), days to silking (0.82), plant height (0.79), ear length (0.71) and ear diameter (0.66) were found highly heritable traits. Grain yield (0.39) and ear height (0.47) medium and remaining traits showed low heritability. High PCV was observed for grain yield (35.10%), number of plants/plot (34.46%), tesseling silking interval (26.85%), harvested ears/plot (24.45%) and husk cover rating (22.85%) where other traits showed medium to low PCV. Grain yield showed high GCV (21.96%), ear height and husk cover had medium and remaining traits showed low GCV (<10%). Plant height (r₌0.498), harvested plants/plot (r₌0.412), harvested ear/plot (r₌0.762), ear length (r₌0.472) and ear diameter (r₌0.470) showed significant positive correlation with grain yield. The yield can be improved if selection applied in favor of those yield components.

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“…Grain Fe content (94.8% and 31.70%), test weight (94.8% and38.56%), grain yield per plant (91.6% and 40.84%), grain Zn content (87.3% and 33.73%), days to 50% flowering (99.1% and 25.42%) and number of panicles per plant (62.7% and 24.47%) demonstrated high heritability percent in tandem with high values for Genetic Advance as per cent of mean. Agrawal (2003) and Girma et al (2018) documented similar findings for these traits. Furthermore, since 9 out of the 11 clusters were monogenotypic, the cluster mean of the 9 clusters could be used to find genotypes appropriate for crossing.…”

Section: Resultsmentioning

confidence: 62%

Variability and divergence studies on rice genotypes for micronutrient potential and its utility in biofortification

Vanlalrinngama

Jha²,

Singh

et al. 2023

ECJ

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Rice is the staple food crop for more than half of the world population. Thus, rice varieties enriched with various micronutrients qualifies as a better alternative to combat micronutrient deficiency. The present investigation was undertaken to study the variability, heritability and genetic divergence for grain characters especially grain Zinc (Zn) content and grain Iron (Fe) content in 30 genotypes of rice. Among the 30 genotypes that were under investigation, the Phenotypic Coefficient of Variation (PCV) values were found to be higher than that of Genotypic Coefficient of Variation (GCV) values for all the traits. High heritability (>60%) was observed for all the studied traits. Days to 50% flowering showed highest heritability (99.1%) followed by test weight (94.8%) and grain Fe content (94.8%). The genetic advance as percent of mean ranged between medium (10%-20%) to high (>20%) with grain yield per plant showing the highest GAM (40.84%) followed by test weight (38.56%) and grain Zn content (33.73%). These 30 genotypes were assigned into groups of 11 clusters using Tocher’s method. Cluster I comprised of the most number of genotypes with 18 genotypes followed by Cluster V with 3 genotypes while the remaining 9 clusters were monogenotypic. Days to 50% flowering was found to have the highest contribution towards genetic divergence. These findings indicated that the genotypes under study have sufficient trait variability and varietal diversity which could be exploited in crop improvement programmes aimed at developing Zinc (Zn) and Iron (Fe) biofortified varieties.

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Genetic Variability Study of Yield and Yield Related Traits in Rice (Oryza sativa L.) Genotypes

Cited by 14 publications

References 15 publications

RETRACTED: Variability among maize (Zea mays L.) inbred lines for agro- morphological traits

RETRACTED: Variability among maize (Zea mays L.) inbred lines for agro- morphological traits

Agronomic performance and genotypic diversity for morphological traits among early maize genotypes

Variability and divergence studies on rice genotypes for micronutrient potential and its utility in biofortification

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