Genetic variability studies in ADT 43/Seeraga samba cross derivatives of rice (<i>Oryza sativa</i> L.)

Bharath, M. S.; Mohan, Manil T.; Vanniarajan, C.; Gridhari, V. Veranan Arun; Senthil, N.

doi:10.5958/0975-928x.2018.00180.1

Cited by 8 publications

(11 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The above-mentioned traits exhibited high estimates of PCV and GCV which indicates that these traits showed high degree of variability, so for crop improvement direct selection of these traits would be fruitful. Similar results of high PCV and GCV was reported by Bharath et al (2018) and Hema et al (2019) for productive tiller number, Ali et al (2018) for grain number per panicle, Balat (2018) and Patel et al (2018) for plant yield.…”

Section: Resultssupporting

confidence: 86%

Genetic variability, correlation and path coefficient analysis in segregating population of rice

Bhargava

Shivani²,

Pushpavalli³

et al. 2021

EJPB

View full text Add to dashboard Cite

A study was conducted to evaluate the genetic variability parameters, correlation and path coefficient analysis for eight yield related traits in segregating F 2 population of an aerobic restorer AR 9-18 × YPK 198 (Donor for yield enhancing genes Gn1a and OsSPL14) at ICAR-IIRR, Hyderabad during the kharif, 2019. The results indicated that, productive tiller number, grain number per panicle and plant yield showed high PCV and GCV. Height of plant, productive tiller number, grain number per panicle and plant yield exhibited a high heritability and also high genetic advance as per cent of mean which indicates simple selection would be effective for enhancement of these traits. Correlation studies indicated that plant yield was associated significantly positive with height of plant, productive tiller number, length of panicle and grain number per panicle. High positive direct effect on plant yield was recorded by productive tiller number, grain number per panicle and height of plant.

show abstract

Section: Resultssupporting

confidence: 86%

Genetic variability, correlation and path coefficient analysis in segregating population of rice

Bhargava

Shivani²,

Pushpavalli³

et al. 2021

EJPB

View full text Add to dashboard Cite

show abstract

“…The GCV and PCV of effective tiller were found to be high with values of 25.7 and 33.2, high heritability (59.9) with 40.89% genetic advance percentage per mean. The result was following the other findings (Bharath et al 2018;Chakraborty and Chakraborty 2010).…”

Section: The Estimate Of Genetic Parameterssupporting

confidence: 89%

“…The kernel width also expressed high heritability (90.61) unison with a high genetic advance percentage per mean (23.31%). The similar results in all parameters were obtained by Bharath et al (2018).…”

Section: The Estimate Of Genetic Parameterssupporting

confidence: 86%

“…The heritability for flag leaf length was high (78.62) coupled with a high genetic advance percentage per mean (29.36%), whereas flag leaf breadth had a high heritability (68.33) coupled with moderate genetic advance percentage per mean (18.08%). Similar results were found for GCV and PCV of both traits by Chakraborty and Chakraborty (2010), but the findings of Bharath et al (2018) for heritability and genetic advance per mean for both characteristics.…”

Section: The Estimate Of Genetic Parameterssupporting

confidence: 83%

See 1 more Smart Citation

Variability and Heritability Estimate of 30 Rice Landraces of Lamjung and Tanahun Districts, Nepal

Dhakal¹,

Sharma²,

Pokhrel³

2020

Indones. J. Agric. Sci.

View full text Add to dashboard Cite

The variability in the rice landraces is the source of variation and offers substantial opportunity for the development of new varieties through the selection. Exploring diversity and variability of landraces is utmost for rice improvement. The objective of the study was to assess diversity indices, magnitude of genetic variability, heritability, genetic advance for the yield, and yield contributing traits. An experiment was carried out in alpha-lattice with 30 landraces, two replications in the Agronomy farm of IAAS, Lamjung Campus, during June-November, 2018. Shannon and Simpson's indices were calculated for 18 qualitative traits. The value of the Shannon and Simpson index ranged 0.15-1.41 and 0.07- 0.75, respectively. Landraces showed significant variations (p<0.001) for all 13 qualitative traits studied. The higher value of the phenotypic coefficient of variation (PCV) compared to the corresponding genotypic coefficient of variation (GCV) for all the studied traits indicated the influence of the environment. The filled-grain per panicle exhibited a high estimate of PCV and GCV, followed by the effective tiller and filled grain percentage. High heritability, along with high genetic advance was found in 10 traits, including 1000 grain weight, grain length, and filled grain per panicle indicated the presence of additive gene action. Direct selection of characters of these traits based on phenotypic expression by a selection method will be more reliable for yield improvement. The study suggests that the existence of diversity and estimated genetic parameters among landraces of rice that can be exploited in future rice breeding programs.

show abstract

“…These traits were controlled by additive gene action and effortlessly fixed by selection. These results were in fulfillment with Savitri et al (2018) for the number of productive tillers and thousand seed weight, Bharath et al (2018) for flag leaf length. High heritability and moderate genetic advance as per cent of mean was observed in panicle length.…”

Section: Resultsmentioning

confidence: 53%

Genetic variability and frequency distribution studies in F2 population involving traditional variety mappillai samba

Nikhitha¹,

Pushpham²,

Raveendran³

et al. 2020

EJPB

View full text Add to dashboard Cite

An experiment was performed to analyse the variability parameters and frequency distribution properties in F 2 population of CBMAS 14065 x Mappillai Samba for grain yield and its associated parameters. The estimated genetic parameters showed, slightly higher PCV than GCV reflecting the influence of environment. High GCV, high PCV, high heritability along with high genetic advance as per cent of mean was observed in the number of filled grains per panicle suggests the additive gene action which is important for selection. The parameters like plant height, the number of productive tillers per plant, panicle length, the number of filled grains per panicle and thousand grain weight showed a significant positive correlation with single plant yield. Significant positive skewness were observed for the number of productive tillers and grain L:B ratio which helps in fixing the selection criterias and benefits the improvement of traits in F 2 generation.

show abstract

Genetic variability studies in ADT 43/Seeraga samba cross derivatives of rice (Oryza sativa L.)

Cited by 8 publications

References 0 publications

Genetic variability, correlation and path coefficient analysis in segregating population of rice

Genetic variability, correlation and path coefficient analysis in segregating population of rice

Variability and Heritability Estimate of 30 Rice Landraces of Lamjung and Tanahun Districts, Nepal

Genetic variability and frequency distribution studies in F2 population involving traditional variety mappillai samba

Contact Info

Product

Resources

About