Genetic variability, heritability and genetic advance in rice (Oryza sativa L.)

Lingaiah, N.

doi:10.15740/has/ajes/10.1/110-112

Cited by 12 publications

(14 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…plant height, number of spikelets per panicle and number of grains per panicle indicating preponderance of additive gene action and thus selection may be effective for these traits. Similar findings were reported by Dutta et al (2013) [8] , Tuhina et al (2015) [28] and Lingaiah et al (2015). High heritability coupled with moderate genetic advance as percent of mean was reported in F2 segregants for the characters viz.…”

Section: Resultssupporting

confidence: 88%

Genetic variability, correlation and path coefficient studies in F2 generation of rice (Orzya sativa L.)

Swapnil¹,

Prasad²,

Chakraborty³

et al. 2020

Int. J. Chem. Stud.

View full text Add to dashboard Cite

Rice (Oryza sativa L.) is one of the staple cereal crops which feed more than half of the world population. Therefore, a better insight to the association of yield with its component traits can be helpful in improving the rice yield. The present study comprised of 371 F2 segregating progenies of the cross (Sahbhagidhan and BPT-5204 Sub-1), which were evaluated to assess the genetic variability, heritability and genetic advance, correlation and direct and indirect effects among yield and yield components. The correlation studies revealed that seed yield per plant was positively and significantly correlated with number of tillers per plant, number of panicles per plant, number of spikelets per plant, number of grains per plant, number of spikelets per panicle, number of grains per panicle, fertility percent and panicle length in F2 generation. The path analysis indicated that number of panicles per plant, number of spikelets per plant and number of grains per plant exhibited high and positive direct effects and thus, may be considered as useful traits for yield improvement of rice.

show abstract

Section: Resultssupporting

confidence: 88%

Genetic variability, correlation and path coefficient studies in F2 generation of rice (Orzya sativa L.)

Swapnil¹,

Prasad²,

Chakraborty³

et al. 2020

Int. J. Chem. Stud.

View full text Add to dashboard Cite

show abstract

“…On the other hand, the gap was wide for some characters such as panicle length of main axis and grain yield per plant suggesting role of environment in expression of these characters. In the present investigation, phenotypic coefficient of variation higher than the genotypic coefficient of variation was in accordance with [14] and [10].…”

Section: Genotypic and Phenotypic Coefficient Of Variationsupporting

confidence: 91%

“….24) and Kishori(33.17) were found superior over check Swarna for trait grain yield per plant The results were in accordance with the findings of[10],[11].…”

supporting

confidence: 86%

Genetic Variability Assessment in Lowland Rice Cultivars of Bihar, India

Kushwaha

Kant

Kumar

et al. 2020

CJAST

View full text Add to dashboard Cite

The present investigation for various genetic parameters was done for twenty-two lowland rice genotypes in R.C.B.D. with three replications at Rice Breeding Section, Pusa Farm, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar. Analysis of variance revealed significant differences (P-value =0.01) among genotypes for all the characters. Brasali was the highest yielder suggesting that it can be used for crossing programme for improvement in yield. The phenotypic variance was higher than corresponding genotypic variances for all the characters studied. Genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were highest for grain yield per plant followed by1000 grain weight, plant height, number of panicles, root volume, leaf length and days to 50 % flowering revealing that sufficient variability was present in the gene pool for these characters. Thus, there is ample scope for genetic improvement of these traits through selection. The broad sense heritability ranged from 23 % (panicle length of main axis) to 97% (1000 grain weight). High heritability was obtained for most of the characters except for panicle length of main axis and kernel width. High heritability accompanied with high genetic advance as percent of mean was recorded for days to 50% flowering, plant height, root volume, number of panicles, 1000 grain weight, leaf length and grain yield per plant. High values of GCV, PCV, heritability and genetic advance as percent of mean observed for various characters indicate that these traits can be used as selection indices for yield improvement.

show abstract

“…The relationship between yield and other parameters can be analysed using the correlation studies. Yield component is always interrelated with its associated traits in both positive and negative ways (Lingaiah et al, 2015). Hence, the current study was carried out to analyse the genetic variability, frequency distribution and correlation between yield and its associated traits to find out the superior segregants in F 2 population of CBMAS 14065 x Mappillai Samba.…”

Section: Introductionmentioning

confidence: 99%

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, heritability and genetic advance in rice (Oryza sativa L.)

Cited by 12 publications

References 1 publication

Genetic variability, correlation and path coefficient studies in F2 generation of rice (Orzya sativa L.)

Genetic variability, correlation and path coefficient studies in F2 generation of rice (Orzya sativa L.)

Genetic Variability Assessment in Lowland Rice Cultivars of Bihar, India

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

Contact Info

Product

Resources

About