Inheritance of pubescences in crosses between Cowpea (&lt;i&gt;Vigna unquiculata &lt;/i&gt; (L)) WAIP) and &lt;i&gt;V. Rhomboidea&lt;/i&gt; Burtt. Davy

Aliyu, B.; Ng, N.Q.; Fawole, I.

doi:10.4314/njg.v15i1.42267

Cited by 23 publications

(22 citation statements)

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“…Similar results were obtained by Aliyu and Fawole in 2000. The analysis of the tree diagram revealed that lines IR75871-4-B-4-WAB1 (Int7) and IR75871-4-B-B-WAB1 (Int8) have strong similarity with the parent sativa IR64.…”

Section: Discussionsupporting

confidence: 71%

Molecular Profiling of Interspecific Lowland Rice Progenies Resulting from Crosses between TOG5681 and TOG5674 (Oryza glaberrima) and IR64 (Oryza sativa)

Agnoun¹,

Sié²,

Djèdatin³

et al. 2012

IJB

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Two Outstanding Oryza glaberrima (2n = 24, AA) varieties TOG5681 and TOG5674 were used as male donor parents with IR64, the high-yielding improved Asian rice variety used as recurrent female parent by the International Rice Research Institute (IRRI) to develop 18 BC 3 F 1 interspecific lowland rice progenies. The proportion of parental genomic contribution and the extent of genetic differences among these lines were assessing using 36 microsatellites markers. The average genomic contribution of the donor TOG5681 and that of the recurrent IR64 within their 12 interspecific lines derived from IR64xTOG5681 cross were estimated to 13.2% and 79.8% respectively. Using 33 out of the 36 SSR markers, the average genome introgression rate of TOG5674 and that of IR64 within their 6 progenies were estimated to 8.7% and 85.5% respectively. In addition, heterozygosity and non-parental alleles were also identified. Clustering analysis technique using NTSYS classified the progenies into six groups and group five is closely related to IR 64.

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Section: Discussionsupporting

confidence: 71%

Molecular Profiling of Interspecific Lowland Rice Progenies Resulting from Crosses between TOG5681 and TOG5674 (Oryza glaberrima) and IR64 (Oryza sativa)

Agnoun¹,

Sié²,

Djèdatin³

et al. 2012

IJB

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“…The clustering scores among principal components axes suggest that some relationships exist among individuals within a cluster. But SLCA is a better technique in that it sufficiently provides a clearer and more informative display of relative positions of the genotypes (Aliyu and Fawole, 2001;Aremu et al, 2007). It also provides information on the minimum percentage similarity among the accessions.…”

Section: Character Estimationmentioning

confidence: 99%

Morphological classification of genetic diversity in cultivated okra, Abelmoschus esculentus (L) Moench using principal component analysis (PCA) and single linkage cluster analysis (SLCA)

C¹,

O²,

D³

et al. 2011

Afr. J. Biotechnol.

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29 okra accessions sourced from different agro-ecological regions in Nigeria and grown during the rainy season of 2007 at Abeokuta (derived savannah) were evaluated for genetic diversity using principal component analysis (PCA) and single linkage cluster analysis (SLCA). The experiment was laid out in a randomized complete block design (RCBD) with five replications. The accessions were classified into six and five cluster groups by PCA and SLCA respectively. The mean contributions of plant height, days to flowering, branches per plant, fresh pod width, mature pod width, fresh pod length, pod weight per plant, pod per plant, seeds per pod, and seed weight per plant were relatively high in the principal axes confirming the major contributions of these traits to seed yield in okra. The first four principal axes accounted for over 60% of the total variation among the 18 characters describing the accessions. Accessions 29, 9 and 14, which appears to be the most diverse may be useful as source for variable characters in okra improvement among the accessions studied been the most distant.

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“…It was reported that cluster analysis had the singular efficacy and ability to identify accessions with the highest level of similarity using dendrogram (Aliyu et al, 2000). Pillay and Myers (1999) and Abdukarimov et al, (2003) have observed low genetic diversity in cotton while employing cluster analysis.…”

Section: Cluster Analysismentioning

confidence: 99%

Exploration of Genetic Diversity for Qualitative Traits among the Extant Upland Cotton (Gossypium hirsutum L.) Varieties and Parental Lines

Rathinavel¹

2017

Int.J.Curr.Microbiol.App.Sci

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Inheritance of pubescences in crosses between Cowpea (<i>Vigna unquiculata </i> (L)) WAIP) and <i>V. Rhomboidea</i> Burtt. Davy

Cited by 23 publications

References 0 publications

Molecular Profiling of Interspecific Lowland Rice Progenies Resulting from Crosses between TOG5681 and TOG5674 (Oryza glaberrima) and IR64 (Oryza sativa)

Molecular Profiling of Interspecific Lowland Rice Progenies Resulting from Crosses between TOG5681 and TOG5674 (Oryza glaberrima) and IR64 (Oryza sativa)

Morphological classification of genetic diversity in cultivated okra, Abelmoschus esculentus (L) Moench using principal component analysis (PCA) and single linkage cluster analysis (SLCA)

Exploration of Genetic Diversity for Qualitative Traits among the Extant Upland Cotton (Gossypium hirsutum L.) Varieties and Parental Lines

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