Accession &amp;#215; Treatment Interaction,  Variability and Correlation Studies of  Pepper (&amp;lt;i&amp;gt;Capsicum&amp;lt;/i&amp;gt; spp.) under the Influence of Arbuscular Mycorrhiza Fungus (&amp;lt;i&amp;gt;Glomus clarum&amp;lt;/i&amp;gt;) and Cow Dung

Olawuyi, O. J.; Jonathan, Segun Gbolagade; Babatunde, F. E.; Babalola, Busayo Joshua; Yaya, O.; Agbolade, J. O.; Aina, Daniel Ayandiran; Egun, Chike Joseph

doi:10.4236/ajps.2014.55083

Cited by 10 publications

(7 citation statements)

References 9 publications

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“…First, the correlation analysis based on phenotypic data showed that agronomic traits were highly correlated with each other, and the most significant correlations were observed for fruit-related traits, which is consistent with the results from previous research [68]. Correlation studies can help to determine the traits on which selection should be based to breed peppers for specific purposes [69]. Second, we compared the distribution of peaks in the Manhattan plots and found that there was more than one shared peak among different traits, suggesting that the traits were linked, and controlled either by one pleiotropic gene or by a group of closely-linked genes.…”

Section: Discussionsupporting

confidence: 84%

Genome-Wide Correlation of 36 Agronomic Traits in the 287 Pepper (Capsicum) Accessions Obtained from the SLAF-seq-Based GWAS

Wang

et al. 2019

IJMS

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There are many agronomic traits of pepper (Capsicum L.) with abundant phenotypes that can benefit pepper growth. Using specific-locus amplified fragment sequencing (SLAF-seq), a genome-wide association study (GWAS) of 36 agronomic traits was carried out for 287 representative pepper accessions. To ensure the accuracy and reliability of the GWAS results, we analyzed the genetic diversity, distribution of labels (SLAF tags and single nucleotide polymorphisms (SNPs)) and population differentiation and determined the optimal statistical model. In our study, 1487 SNPs were highly significantly associated with 26 agronomic traits, and 2126 candidate genes were detected in the 100-kb region up- and down-stream near these SNPs. Furthermore, 13 major association peaks were identified for 11 key agronomic traits. Then we examined the correlations among the 36 agronomic traits and analyzed SNP distribution and found 37 SNP polymerization regions (total size: 264.69 Mbp) that could be selected areas in pepper breeding. We found that the stronger the correlation between the two traits, the greater the possibility of them being in more than one polymerization region, suggesting that they may be linked or that one pleiotropic gene controls them. These results provide a theoretical foundation for future multi-trait pyramid breeding of pepper. Finally, we found that the GWAS signals were highly consistent with those from the nuclear restorer-of-fertility (Rf) gene for cytoplasmic male sterility (CMS), verifying their reliability. We further identified Capana06g002967 and Capana06g002969 as Rf candidate genes by functional annotation and expression analysis, which provided a reference for the study of cytoplasmic male sterility in Capsicum.

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Section: Discussionsupporting

confidence: 84%

Genome-Wide Correlation of 36 Agronomic Traits in the 287 Pepper (Capsicum) Accessions Obtained from the SLAF-seq-Based GWAS

Wang

et al. 2019

IJMS

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“…This is in accordance with the reports of Nwangburuka et al (2012) and Olawuyi et al (2014) who considered genetic variability as essential in crop breeding. The genotypic effect also had significant expression on the traits evaluated in Amaranthus.…”

Section: Discussionsupporting

confidence: 93%

Phenotypic Evaluation of Heritability, Agro-Morphological and Yield Characters of Sixteen <i>Amaranthus</i> Linn. Genotypes

Onuoha¹,

Joseph²

2017

American Journal of Agricultural and Biological Sciences

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Abstract:The field experiment was conducted to evaluate the heritability, genetic variance, agro-morphological and yield characters of Sixteen Amaranthus genotypes. The seeds of the sixteen (16) genotypes of Amaranthus evaluated in this study were; NG/AA/MAY/09/027, NG/AA/03/11/010, NG/AO/11/08/042, NG/AO/11/08/039, NG/SA/DEC/07/0423, NG/SA/DEC/07/0412, NGB01667, NGB01601, NGB01283, NGB01271, NGB01276, NGB01259, NGB01644, NGB01234, NGB01613 and NGB01662. The results showed that there were variability performances in growth and yield characters of Amaranthus genotypes. NG/AA/MAY/09/027 and NG/AO/11/08/039 had the best growth characters while NG/AO/11/08/042 had best yield performance compared to other genotypes. The stem length recorded the best heritability estimate of 95.5% while weight of dry leaf, weight of fresh and dry inflorescent had least (47.7%). The plant height had a positive significant correlation with number of leaf (r = 0.53), leaf width (r = 0.57), number of branches (r = 0.56) but a strong positive correlation with stem length (r = 0.97), stem girth (r = 0.75), number of inflorescent (r = 0.68), inflorescent length (0.64) and inflorescent width (r = 0.72). Prin. 1 accounted for the highest variation in growth and yield characters with proportion of 0.3376 and eigen value of 4.7269, while Prin. 14 was the least with proportion of 0.0003 and eigen value of 0.0038. Therefore, there could be genetic improvement of NG/AA/MAY/09/027 and NG/AO/11/08/039 genotypes for further improvement of Amaranthus.

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“…For plant breeding purposes, correlation studies help to determine the traits on which selection should be based (Olawuyi et al, 2014). Usually, several characters should be considered for characterizing chili.…”

Section: Introductionmentioning

confidence: 99%

Correlation network analysis between phenotypic and genotypic traits of chili pepper

Silva

Rêgo

Pessoa

et al. 2016

Pesq. agropec. bras.

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-The objective of this work was to build weighted correlation networks, in order to discover correlation structures and link patterns among 28 morphoagronomic traits of chili pepper related to seedling, plant, inflorescence, and fruit. Phenotypic and genotypic information of 16 Capsicum genotypes were analyzed. Correlation structures and link patterns can be easily identified in the matrices using the Fruchterman-Reingold algorithm with correlation network information. Both types of correlations showed the same general link pattern among fruit traits, with high broad-sense heritability values and high aptitude of the genotypes for agronomic and ornamental breeding. Leaf dimensions are correlated with a cluster of fruit traits. Correlation networks of chili pepper traits may increase the effectiveness of genotype selection, since both correlated traits and groups can be identified.Index terms: Capsicum, correlation structure, genetic covariance, link pattern, plant breeding. Análise de rede de correlação entre caracteres fenotípicos e genotípicos de pimenteirasResumo -O objetivo deste trabalho foi construir redes ponderadas de correlação, para descobrir estruturas de correlação e padrões de ligação entre 28 caracteres morfoagronômicos de pimenteiras, relacionados à plântula, planta, inflorescência e fruto. Informações fenotípicas e genotípicas de 16 genótipos de Capsicum foram analisadas. Estruturas de correlação e padrões de ligação podem ser facilmente identificados nas matrizes por meio do algoritmo Fruchterman-Reingold, com as informações da rede de correlações. Ambos os tipos de correlação mostraram o mesmo padrão geral de ligação entre caracteres de frutos, com altos valores de herdabilidade no sentido amplo e grande aptidão desses genótipos para o melhoramento agronômico e ornamental. As dimensões das folhas estão correlacionadas ao grupo de caracteres de fruto. Redes de correlação de caracteres de pimenteiras podem aumentar a eficácia da seleção de genótipos, uma vez que tanto caracteres correlacionados quanto grupos podem ser identificados.Termos para indexação: Capsicum, estrutura de correlação, covariância genética, padrão de ligação, melhoramento de plantas.

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Accession × Treatment Interaction, Variability and Correlation Studies of Pepper (<i>Capsicum</i> spp.) under the Influence of Arbuscular Mycorrhiza Fungus (<i>Glomus clarum</i>) and Cow Dung

Cited by 10 publications

References 9 publications

Genome-Wide Correlation of 36 Agronomic Traits in the 287 Pepper (Capsicum) Accessions Obtained from the SLAF-seq-Based GWAS

Genome-Wide Correlation of 36 Agronomic Traits in the 287 Pepper (Capsicum) Accessions Obtained from the SLAF-seq-Based GWAS

Phenotypic Evaluation of Heritability, Agro-Morphological and Yield Characters of Sixteen <i>Amaranthus</i> Linn. Genotypes

Correlation network analysis between phenotypic and genotypic traits of chili pepper

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