Phenotypic variability in genotypes of irrigated rice via multivariate analysis

Streck, Eduardo Anibele; Aguiar, Gabriel Almeida; Júnior, Ariano Martins de Magalhães; Facchinello, Paulo Henrique Karling; Oliveira, Antônio Costa de

doi:10.5935/1806-6690.20170011

Cited by 11 publications

(12 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The F test revealed significant effects for genotypes (p < 0.05) for the following traits: number of full grains per plant, full grains percentage, grain width and grain length/width ratio ( Table 2). The coefficients of variation estimated for most traits were compatible with those obtained in other studies of rice (Silva, Silva, Guimarães, & Moura, 2011;Hosan, Sultana, Iftekharuddaula, Ahmed, & Mia, 2010;Streck et al, 2017), emphasizing the acceptable test quality.…”

Section: Resultssupporting

confidence: 85%

“…However, this will only be possible as long as genetic variability is maintained. In Brazilian irrigated rice breeding programs, genotypic variability is restricted (Rabelo, Guimarães, Pinheiro, & Silva, 2015;Streck, Aguiar, Magalhães Júnior, Facchinello, & Oliveira, 2017); therefore, investigating the genetic diversity of rice genotypes is critical.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Self-organizing maps in the study of genetic diversity among irrigated rice genotypes

et al. 2018

View full text Add to dashboard Cite

This study presents self-organizing maps (SOM) as an alternative method to evaluate genetic diversity in plant breeding programs. Twenty-five genotypes were evaluated in two environments for 11 phenotypic traits. The genotypes were clustered according to the SOM technique, with variable topology and numbers of neurons. In addition to the SOM analysis, unweighted pair group method with arithmetic mean clustering (UPGMA) was performed to observe the behavior of the clustering when submitted to these techniques and to evaluate their complementarities. Genotype ordering according to SOM was consistent with UPGMA results, evidenced by the basic structure of UPGMA groups being preserved in each group of the maps. Regarding genotype arrangement and the group neighbors, maps involving five neurons presented inferior organization efficiency compared to the six-map arrangements in both environments. It was observed that the organization pattern among the rice genotypes evaluated by the maps was complementary to the UPGMA approach, as observed in all scenarios. It can be concluded that self-organizing maps have the potential to be useful for genetic diversity studies in breeding programs.

show abstract

Section: Resultssupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Self-organizing maps in the study of genetic diversity among irrigated rice genotypes

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Result concordant with the study by Silva et al (2019). The estimated coefficients of variation for the characteristic were compatible with those obtained in other rice studies (Costa et al, 2002;Hosan et al, 2010;Silva et al, 2011;Streck et al, 2017;Santos et al, 2019;, emphasizing the acceptable test quality.…”

Section: Resultssupporting

confidence: 90%

Research Article Methods of adaptability and stability applied to the improvement of flooded rice

Júnior¹,

Carneiro²,

Santos³

et al. 2020

Genet. Mol. Res.

View full text Add to dashboard Cite

Rice (Oryza sativa) is crop that adapts well to diverse soil and climate conditions; breeding programs have generally been committed to identifying and selecting genotypes that are stable and have high productivity in various environments. In this sense, studies of adaptability and stability are of paramount importance to aid in the recommendation of cultivars, since it allows growers to obtain detailed information about the behavior of the genotypes in each region. We evaluatde the adaptability and stability of irrigated rice genotypes grown with continuous flooding, for the selection and recommendation of cultivars for crops or breeding programs. Eighteen genotypes were evaluated for grain yield in four agricultural years at three sites, covering 12 environments. The adaptability and stability were assessed by the methods of Eberhart and Russell, multiple centroids and GGE biplot. Genotypes behaved differently regarding stability and adaptability in the different environments. Both methodologies identified BRA 02691 and MGI 0607-1 as promising to be released as cultivars; however, classification inconsistencies occurred, such as for the line BRA 031001. Multiple centroid and GGE biplot methods demonstrated greater sensitivity ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 19 (3): gmr18434 A.C. Silva Junior et al. 2 than the Eberhart and Russell method. Using the methods simultaneously provides an innovative approach to the interpretation of GxE interactions and is a viable alternative for genotype classification. The genotype MGI 0607-1 showed promising behavior independent of the methodology used.

show abstract

“…Another explanation is that the best genotype in one location may not be the best in another, that is, differentiated behavior of genotypes versus environmental variations, because of this difference between environment, which expresses the interaction genotypes by environments (Colombari Filho et al, 2013 andKleinknecht et al, 2016). However, in addition to the productivity that the genotype-environment interaction is visible, it is worth noting that the attributes related to irrigated rice grain quality are highly related not only to genetic but also environmental factors (Cameron et al, 2008;Hakata et al, 2012;Lyman et al, 2013;Li et al, 2014;Xu et al, 2015;Streck et al, 2017;Streck et al, 2018). The physical attributes of the grains are very complex quantitative traits because they are controlled by maternal and cytoplasmic effects (Streck et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

Research Article Performance of a breeding program for irrigated rice in Southeast Brazil

Júnior¹,

Carneiro²,

Santos³

et al. 2019

Genet. Mol. Res.

View full text Add to dashboard Cite

Estimating the performance of a rice breeding program is possible by means of indexes such as the replacement rate, which quantifies the dynamism of the breeding program and provides the rate of included, excluded, maintained and renewed genotypes year after year. We evaluated the performance of the irrigated rice breeding program in the state of Minas Gerais, conducted by the EPAMIG/UFV/EMBRAPA consortium. A total of 210 lines were evaluated in the municipalities of Janaúba, Leopoldina and Lambari from 1993 to 2016. The average number of genotypes included, maintained and excluded in each year were calculated, along with the replacement rate percentage. The average genotype replacement rate was 44% for Lambari and Janaúba, and 43% for Leopoldina. The average maintenance in Lambari was 39%, and in Janaúba and Leopoldina it was 40%. In all localities, the mean rate of inclusion of genotypes was higher than the average exclusion rate, indicating good efficiency in the irrigated rice breeding program. However, new strategies should be used in the irrigated rice breeding program to increase the genetic basis of lines and increase the replacement rate.

show abstract

Phenotypic variability in genotypes of irrigated rice via multivariate analysis

Cited by 11 publications

References 7 publications

Self-organizing maps in the study of genetic diversity among irrigated rice genotypes

Self-organizing maps in the study of genetic diversity among irrigated rice genotypes

Research Article Methods of adaptability and stability applied to the improvement of flooded rice

Research Article Performance of a breeding program for irrigated rice in Southeast Brazil

Contact Info

Product

Resources

About