Identification of restorers and maintainers among the locally adapted genotypes for hybrid development in rice (<i>Oryza sativa</i> L.)

Priyanka, R.; Thiyagarajan, K.; Bharathi, S. Pechiappan; Rajendran, R.

doi:10.5958/0975-928x.2016.00110.1

Cited by 4 publications

(7 citation statements)

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“…The high fertility of these hybrid combinations can be useful in developing new, promising hybrid combinations. The previous results agree with the results by [ 24 , 48 , 50 , 51 , 52 ].…”

Section: Discussionsupporting

confidence: 92%

“…The pollen fertility percentage of tested hybrids was higher than 85% ( Table S1 ). Similar results were obtained by [ 48 , 50 , 51 , 52 , 53 ], while the spikelet fertility percentage of tested hybrids was higher than 85% ( Table S1 ). The 22 promising lines were identified as effective restorers for two CMS lines; IR69625A and Gang46A.…”

Section: Discussionsupporting

confidence: 87%

“…A test cross nursery to identify restorer and maintainer in hybrid rice breeding is the first step for developing new hybrids. Pollen fertility and spikelet fertility analysis is used to identify restorer and maintainer lines [ 48 ]. Pollen fertility and spikelet fertility are useful for studying the genetics of the restorer gene [ 49 ].…”

Section: Discussionmentioning

confidence: 99%

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Development of New Restorer Lines Carrying Some Restoring Fertility Genes with Flowering, Yield and Grains Quality Characteristics in Rice (Oryza sativa L.)

Awad-Allah

Elekhtyar

El-Abd

et al. 2022

Genes

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This study was carried out using 22 promising restorer lines of rice and their parental lines to study genetic variability and genetic advance for yield and yield-associated grain quality traits and floral traits. These genotypes are evaluated in a replicated trial using Randomized Complete Block Design (RCBD) with three replications at the Experimental Farm of Sakha Agricultural Research Station, Sakha, Kafr El-Sheikh, Egypt, during the seasons from 2012 to 2020. Analysis of variance revealed that highly significant variations were observed among the genotypes for all the studied characters. Both GCV% and PCV% were high for the number of spikelets per panicle, the number of filled grains per panicle, and panicle weight. The genetic advance in the percentage of mean was high for days to plant height, panicle length, number of spikelets per panicle, number of filled grains per panicle, panicle weight, grain yield per plant, anther length, anther breadth, duration of floret opening, and head rice percentage. Mean performance of the rice genotypes indicated that the genotypes NRL 59, NRL 55, NRL 62, NRL 63, NRL 66, and NRL 54-2 were promising for grain yield and associated desirable traits. Thus, some of these promising lines can be promoted as a new rice variety and could be used as a source for developing new hybrid combinations in hybrid rice breeding programs. The percentage of advantage over better parent and Giza 178 as the commercial variety was significant and there were highly significant desirable values among the genotypes for all the studied traits in the two years, indicating that the selection is effective in the genetic improvements for these traits.

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“…The high fertility of these hybrid combinations can be useful in developing new, promising hybrid combinations. The previous results agree with the results by [ 24 , 48 , 50 , 51 , 52 ].…”

Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 87%

See 1 more Smart Citation

Development of New Restorer Lines Carrying Some Restoring Fertility Genes with Flowering, Yield and Grains Quality Characteristics in Rice (Oryza sativa L.)

Awad-Allah

Elekhtyar

El-Abd

et al. 2022

Genes

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“…The results of the test cross experiment showed that the pollen fertility percentage of the new hybrid combinations was more than 85%. Similar results were observed by [ 1 , 43 , 44 , 45 , 46 , 47 ]. On the other hand, the spikelet fertility percentage of the new hybrid combinations tested was more than 75% and these results agreed with the results by [ 1 , 43 , 44 , 45 , 48 ].…”

Section: Discussionsupporting

confidence: 90%

Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.)

Awad-Allah

Shafie

Alsubeie

et al. 2022

Genes

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Exploration of and understanding diversity and variability in genotypes of germplasm determines the success of rice improvement programs. One of the most important determinants of the success of breeding programs is genetic diversity and inheritance of traits. Genetic variability analysis helps breeders to determine the appropriate selection method and standards to be used to improve the preferred trait. The aim of this study was to estimate genetic components, heritability and to obtain information about genetic diversity using cluster analysis and principal component analysis. Twenty rice genotypes with three replicates in a randomized complete block design were analyzed at the Experimental Farm at Sakha Agricultural Research Station, Sakha, Kafr El-Sheikh, Egypt, during the period from 2017 to 2020. The results of the analysis of variance showed that highly significant variations were recorded between the studied genotypes for all traits. The genotypic coefficient of variation (GCV%) and phenotypic (PCV%) coefficient of variation were moderate for plant height, panicles/plant, panicle weight, spikelets/panicle, filled grains/panicle, grain yield/plant and amylose content percentage for the first-year, second-year and combined data. This indicates the existence of beneficial genetic variability that can be exploited to improve these traits. The broad-sense estimates of heritability were high and recorded values higher than 60% for all the studied traits for the two-year and combined data, except for hulling percentage. This indicates that the selection of traits that have high heritability and are less affected by the environment leads to an acceleration of the improvement of these traits. The results from the cluster analysis and principal component analysis revealed a high level of genotypic variation among the studied genotypes and genetic diversity between them. One of the most important outcomes of this study is the successful utilization of genetic resources (germplasm) from ancient varieties and lines of rice in selecting and identifying 17 new restoration lines of rice, which have various improvement purposes in rice and hybrid rice breeding programs.

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“…Traditional approach for identification of fertility restorer lines is based on an analysis of pollen fertility and spikelet fertility in test crosses involving cytosterile lines for the classification of pollen parents as maintainers or restorers. The pollen parents are considered as fertility restorers, if a high level of pollen fertility and spikelet fertility restoration is observed in test crosses (Priyanka et al 2016). Recently, molecular markers have also been used by several researchers for tagging of fertility restorer genes and classification of pollen parents into the categories of sterility maintainers and fertility restorers (Huang et al 2014;Chen et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Choice of microsatellite markers for isolation of fertility restorers of wild abortive (WA) type cytoplasmic male sterility in rice

Kumar

Kumari

Sharma

2018

Ind. Jrnl. Gen. Plnt. Bree.

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Simple sequence length polymorphism was examined in a set of eight effective restorers, four partial restorers, two weak maintainers and four complete maintainers of WA type CMS system in rice using a set of thirty-two microsatellite primer pairs in order to assess the nature and extent of genetic variation among them at molecular level. Altogether 248 allelic variants were detected with an average of 7.75 alleles per primer pairs. Polymorphic information content ranged from 0.508 for RM 6737 to 0.882 for RM 1 with an average value of 0.740 per primer pair. Amongst the primer pairs used, RM 1, RM 206, RM 591 RM 3873 and RM 8146 had remarkably higher number of allelic variants with greater gene diversity and genotype discrimination ability. Using similarity coefficient in numerical taxonomic approach of classification, the entries were differentiated and classified into different groups. Analysis based on molecular profiles allowed discrimination of effective fertility restorers from rest of the entries including partial fertility restorers, weak sterility maintainers and complete sterility maintainers. Principal coordinate analysis based two dimensional plotting of genetic profiles completely supported the results obtained from hierarchical classification of entries and effective fertility restorers were distinctly discriminated from the remaining entries. Four microsatellite primer pairs namely, RM 171, RM 315, RM 3873 and RM 6100, which allowed unambiguous discrimination of the eight effective fertility restorers from rest of the entries. These microsatellite primer pairs, may be further utilized in identification of effective fertility restorers of WA based CMS system in rice.

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Identification of restorers and maintainers among the locally adapted genotypes for hybrid development in rice (Oryza sativa L.)

Cited by 4 publications

References 0 publications

Development of New Restorer Lines Carrying Some Restoring Fertility Genes with Flowering, Yield and Grains Quality Characteristics in Rice (Oryza sativa L.)

Development of New Restorer Lines Carrying Some Restoring Fertility Genes with Flowering, Yield and Grains Quality Characteristics in Rice (Oryza sativa L.)

Utilization of Genetic Resources, Genetic Diversity and Genetic Variability for Selecting New Restorer Lines of Rice (Oryza sativa L.)

Choice of microsatellite markers for isolation of fertility restorers of wild abortive (WA) type cytoplasmic male sterility in rice

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