2013
DOI: 10.13189/ujar.2013.010308
|View full text |Cite
|
Sign up to set email alerts
|

Morphological Traits as Selection Indices in Rice: A Statistical View

Abstract: The objectives of this study were to estimate variability and genetic parameters of sixty-eight rice genotypes for twelve agronomically important characters. Significant variations were observed for all characters. Considering genetic parameters, high genotypic and phenotypic coefficients of variations, high heritability (broad sense) and high genetic advance as percentage of mean were shown by eight characters viz. tillers per plant, days to 50% flowering, harvest index, spikelets per panicle, spikelets per p… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
11
0

Year Published

2014
2014
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 33 publications
(17 citation statements)
references
References 25 publications
4
11
0
Order By: Relevance
“…In addition to the heritability values, the estimated coefficient of genetic variability (CGV) values was a narrow criteria for plant height and maturity, moderate for panicle length, the number of productive tillers, and yield per plant, while broad for the trait, number of filled grain per panicle, which indicated that environmental effects were smaller in expressing these characters, especially for the traits with moderate and board criteria of CGV. The inheritance that is controlled more by genetic factors will make it easier to identify these characters during the selection in rice populations (Roy and Shil, 2020) and these traits could be improved through further breeding and selection (Dutta et al, 2013;Girma et al, 2018). The population with greater genetic diversity had greater opportunity to obtain the desired characters in rice (Ndjiondjop et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…In addition to the heritability values, the estimated coefficient of genetic variability (CGV) values was a narrow criteria for plant height and maturity, moderate for panicle length, the number of productive tillers, and yield per plant, while broad for the trait, number of filled grain per panicle, which indicated that environmental effects were smaller in expressing these characters, especially for the traits with moderate and board criteria of CGV. The inheritance that is controlled more by genetic factors will make it easier to identify these characters during the selection in rice populations (Roy and Shil, 2020) and these traits could be improved through further breeding and selection (Dutta et al, 2013;Girma et al, 2018). The population with greater genetic diversity had greater opportunity to obtain the desired characters in rice (Ndjiondjop et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…Panicles per hill of rice is a major determinant for panicle production and as a result, it affects total yield. The genotypes, which produced a higher number of panicles per plant showed higher grain yield in rice (DUTTA et al, 2013). The genotypes with more tillers showed a better productive tiller per plant.…”
Section: Mean Performancementioning
confidence: 91%
“…High tillering capacity is associated with the maximum use of space and resources; thus, this trait significantly affects total grain yield. Full-size  DOI: 10.7717/peerj.11752/fig- 4 Mainly, genotypes with a higher number of effective tillers per plant produce higher rice grain yields (Dutta, Dutta & Borua, 2013).…”
Section: Agro-morphological Phenotypementioning
confidence: 99%
“…Direct selection of yield-related traits, which are easier to measure precisely than yield itself, have been used as an effective strategy for yield improvement (Mehetre et al, 1994;Samonte, Wilson & McClung, 1998;Kumar et al, 2014). Thus, improving yield-related physiological or correlated traits has become a primary objective for rice improvement over the years under non-stress conditions (Dutta, Dutta & Borua, 2013).…”
Section: Introductionmentioning
confidence: 99%