Non-hierarchical clustering of<i>Manihot esculenta</i>Crantz germplasm based on quantitative traits

Oliveira, Eder Jorge de; Aud, F. F.; Morales, Cinara Fernanda Garcia; Oliveira, S. A. S. de; Santos, V. da S.

doi:10.5935/1806-6690.20160066

Cited by 10 publications

(8 citation statements)

References 10 publications

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“…FCB Araújo et al 'Bitter' cassava had higher starch and sugar contents than the group of 'sweet' cassava ( Table 3). The starch contents were similar to those identified in another study with cassava accessions sampled in Brazil (Vieira et al 2015, Oliveira et al 2016.…”

Section: Resultssupporting

confidence: 84%

Chemical root traits differentiate ‘bitter’ and ‘sweet’ cassava accessions from the Amazon

Araújo

Cunha²,

Cunha³

et al. 2019

Crop Breed. Appl. Biotechnol.

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Bitter' and 'sweet' cassava are normally distinguished based on the hydrocyanic acid (HCN) content of their roots. Moreover, Brazilian farmers tend to select 'sweet' cassava based on the taste and cooking aspects. The aim of this study was to characterize chemical traits of 'bitter' and 'sweet' cassava roots of the Amazon region and to find genetic relations among accessions based on these traits. Considerable phenotypic variation was detected among the evaluated traits moisture, ashes, total soluble solids, total titratable acidity, pH, total carotenoids, free and total cyanide, crude protein, glucose, fructose, sucrose and starch. Aside from free and total cyanide, the trait means of sugars and moisture differed in 'bitter' and 'sweet' cassava and also differentiated these in different clusters in the dendrogram using the unweighted pair-group method based on arithmetic averages (UPGMA) and in the results of principal component analysis.

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Section: Resultssupporting

confidence: 84%

Chemical root traits differentiate ‘bitter’ and ‘sweet’ cassava accessions from the Amazon

Araújo

Cunha²,

Cunha³

et al. 2019

Crop Breed. Appl. Biotechnol.

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“…Cluster analysis, specifically K-means clustering, can be used to group cultivars based on multiple metrics. For example, Oliveira et al (2016) used the K-means algorithm to cluster accessions of a large cassava (Manihot esculenta) germplasm set into distinct groups based on several yield, disease resistance and root traits. They were able to identify groups of promising cultivars for production and/or for use as breeding parents.…”

Section: Discussionmentioning

confidence: 99%

Novel metrics to classify fire blight resistance of 94 apple cultivars

2019

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Fire blight (Erwinia amylovora), a potentially devastating disease in apple, can cause floral, fruit and structural damage and even tree death. Most commercial apple cultivars are susceptible and the resistance/susceptibility of many modern cultivars has not been evaluated. Fire blight resistance/susceptibility is difficult to phenotype due to quantitative resistance, impacts of tree vigour and environment on susceptibility, and the erratic nature of the disease. Resistance/susceptibility levels were determined for 94 apple cultivars and important breeding parents. In 2016 and 2017, multiple actively growing shoots per tree (about three trees per cultivar) were challenged with E. amylovora Ea153n via a cut‐leaf inoculation method. Proportion of current season's shoot length blighted (SLB) was calculated for each shoot. To classify cultivar responses, estimated marginal SLB means were compared to four controls, representing highly susceptible (HS) to highly resistant (HR), via Dunnett's tests. Cultivar responses ranged from HS to HR with estimated marginal SLB means of 0.001–0.995 in 2016 and 0.000–0.885 in 2017. Most cultivars demonstrated similar resistance/susceptibility levels in both years (ρ = 0.657, P < 0.0001). K‐means clustering was used to classify cultivars into three resistance/susceptibility groups based on incidence, average severity (SLB), and maximum severity values (maximum SLB and age of wood infected). Sixteen cultivars were consistently moderately resistant (MR) to HR while the remainder ranged from HS to MR. An updated comparison of susceptibility of important cultivars is provided. Resistance/susceptibility information gained could be used to identify genetic loci associated with resistance/susceptibility and/or inform parental selection in apple scion breeding programmes.

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“…According to Oliveira et al (2016), some cassava genotypes showed differential resistance to Fusarium spp., Phytophthora spp. and the Botryosphaeriaceae species in the peel and pulp.…”

Section: Discussionmentioning

confidence: 99%

Distribution of resistance of cassava genotypes to dry, soft and black root diseases and correlation to yield parameters

Teixeira

Guimarães

Cardoso

et al. 2021

Journal of Phytopathology

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Root rot is one of the most limiting diseases of cassava production in the Northeast Region of Brazil, causing root‐yield loss from 30% to 100%. This study aimed to evaluate the resistance of 76 cassava genotypes to dry (Fusarium spp.), soft (Phytophthora melonis) and black (species of the Botryosphaeriaceae family) root rot diseases. The roots were inoculated separately with isolates belonging to each of three disease group (dry, black and soft), by using the whole tuberous root inoculation method. The lesioned areas on the tuberous roots were measured by digital image analysis. Based on cluster analysis, four groups were found associated with the resistance to root rot diseases. About 10% of the genotypes were classified as resistant to dry and soft root rot, and 2% were classified as resistant to black root rot. Moreover, only 2% of the genotypes showed multiple resistance to these disease groups. Significant correlations were found between root peel and pulp infections by the same fungus, and between the root peel infections caused by P. melonis and Fusarium spp. These findings will be essential in the generation of plants with resistance to multiple root rot pathogens and will guide the cassava breeding programme to obtain superior varieties.

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Non-hierarchical clustering ofManihot esculentaCrantz germplasm based on quantitative traits

Cited by 10 publications

References 10 publications

Chemical root traits differentiate ‘bitter’ and ‘sweet’ cassava accessions from the Amazon

Chemical root traits differentiate ‘bitter’ and ‘sweet’ cassava accessions from the Amazon

Novel metrics to classify fire blight resistance of 94 apple cultivars

Distribution of resistance of cassava genotypes to dry, soft and black root diseases and correlation to yield parameters

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