ASSESSMENT OF MORPHOLOGICAL DIVERSITY AMONG FULL SIBS OF SWEETPOTATO (Ipomoea batatas (L.) Lam) GENOTYPES IN UMUDIKE, SOUTHEASTERN NIGERIA

Newly developed progenies of sweet potato were evaluated to identify promising genotypes with high storage root yield, dry matter, starch content and susceptibility to Cylas spp. at the National Root Crops Research Institute, Umudike, Southeastern Nigeria during the 2015 and 2016 cropping seasons to evaluate variation among crosses of different sweet potato families, namely: LigriXFaara (17), LigriXApomoen (9) and LigrixSauti (8), including two check varieties (Umuspo 3 and TIS 87/0087). Analysis of variance, correlation and principal component analysis were employed for data analysis. In this study, four genotypes; LigriXFaara/3 (16.02t/ha), LigriXFaara/2 (14.67t/ha), LigriXFaara/1 (13.66t/ha) and LigriXFaara/6 (10.33t/ha) produced higher fresh storage root yield than the national check (TIS 87/0087). Four genotypes recorded starch content above 50mg100-1; LigriXApomoden/1 (69.71mg100-1), LigriXApomoden/3 (62.98mg100-1), LigriXApomoden/2 (60.89mg100-1), LigriXApomoden/4 (57.53 mg100-1). Among the thirty-four genotypes evaluated, twenty-nine genotypes were susceptible to the attack of C. puncticollis. LigriXFaara/1 recorded the highest attack of C. puncticollis, followed by LigriXApomoden/5, LigriXFaara/4, LigriXApomoden/3, LigriXSauti/3, LigriXFarra/5 while five genotypes; LigriXFaara/4, LigriXFaara/5, LigriXSauti/5, LigriXFaara/8, LigriXFaara/7 and LigriXFaara/14 did not show any sign of vulnerability of C. puncticollis. Promising genotypes that recorded high yield, dry matter and resistance to Cylas spp. could be subjected to advanced yield trail and incorporated into further breeding program.

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Phenology and morphological diversity of sweet potato (Ipomoea batatas) landraces of the Vale do Ribeira

Scientia Agricola ◽

10.1590/s0103-90162007000400013 ◽

2007 ◽

Vol 64 (4) ◽

pp. 416-427 ◽

Cited By ~ 19

Author(s):

Elizabeth Ann Veasey ◽

Jurema Rosa de Queiroz Silva ◽

Mariana Silva Rosa ◽

Aline Borges ◽

Eduardo de Andrade Bressan ◽

...

Keyword(s):

Sweet Potato ◽

Binary Data ◽

Ipomoea Batatas ◽

Phenotypic Diversity ◽

Similarity Index ◽

Root Traits ◽

Morphological Diversity ◽

Ex Situ ◽

Group Method ◽

Jaccard Similarity

The phenotypic diversity of sweet potato (Ipomoea batatas) landraces was assessed using morphological traits, verifying how this diversity is distributed among the households and settlements of the Vale do Ribeira, Brazil. A total of 74 accessions, involving 53 landraces, collected from 30 households distributed among 18 settlements that practice traditional agriculture in the municipalities of Iguape, Ilha Comprida, and Cananeia, as well as four commercial varieties acquired in markets of Iguape and Piracicaba, were evaluated under an ex situ experimental condition in Piracicaba, SP, Brazil. Nine phenological and floral descriptors, nine morphological vegetative aerial descriptors and five storage root traits were recorded. The 14 aerial vegetative and root descriptors were evaluated as binary data, totaling 74 attributes. Cluster analyses were made using the Jaccard similarity index and the UPGMA (unweighted pair group method with arithmetic mean) agglomerative method. Binary data was also submitted to a variance analysis (AMOVA). No defined groups were observed, indicating that the diversity of the landraces is not structured in space, but considerable morphological variation was found in this area (Jaccard similarity index varying from 0.12 to 1.0). Most of the variability occurred within households (64.4%), followed by the distribution among households within settlements (27.1%) and among settlements (8.4%). Thus, the traditional agriculturists of Vale do Ribeira maintain a high morphological diversity for sweet potato within their households, which can be assumed to be produced by the outcrossing mating system of this species and somatic mutation events, as well as the exchange system at local and regional levels.

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Morphometric and colourimetric tools to dissect morphological diversity: an application in sweet potato [Ipomoea batatas (L.) Lam.]

Genetic Resources and Crop Evolution ◽

10.1007/s10722-019-00781-x ◽

2019 ◽

Vol 66 (6) ◽

pp. 1257-1278 ◽

Cited By ~ 4

Author(s):

Amparo Rosero ◽

Leiter Granda ◽

José-Luis Pérez ◽

Deisy Rosero ◽

William Burgos-Paz ◽

...

Keyword(s):

Sweet Potato ◽

Ipomoea Batatas ◽

Morphological Diversity

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Assessing the remarkable morphological diversity and transcriptomic basis of leaf shape inIpomoea batatas(sweetpotato)

10.1101/520650 ◽

2019 ◽

Author(s):

Sonal Gupta ◽

David M. Rosenthal ◽

John R. Stinchcombe ◽

Regina S. Baucom

Keyword(s):

Ipomoea Batatas ◽

Leaf Shape ◽

Morphological Diversity ◽

Field Studies ◽

List Type ◽

Shape Variation ◽

Plant Trait ◽

Common Gardens ◽

Multi Level

AbstractLeaf shape, a spectacularly diverse plant trait, varies across taxonomic levels, geography, and in response to environmental differences. However, comprehensive intraspecific analyses of leaf shape variation across variable environments is surprisingly absent. Here, we perform a multi-level analysis of leaf shape using diverse accessions of sweetpotato (Ipomoea batatas), and uncover the role of genetics, environment, and GxE on this important trait.We examine leaf shape using a variety of morphometric analyses, and complement this with a transcriptomic survey to identify gene expression changes associated with shape variation. Additionally, we examine the role of genetics and environment on leaf shape by performing field studies in two geographically separate common gardens.We show that extensive leaf shape variation exists withinI. batatas, and identify promising candidate genes underlying this variation. Interestingly, when considering traditional measures, we find that genetic factors are largely responsible for most of leaf shape variation, but that the environment is highly influential when using more quantitative measuresvialeaf outlines.This extensive and multi-level examination of leaf shape shows an important role of genetics underlying a potentially important agronomic trait, and highlights that the environment can be a strong influence when using more quantitative measures of leaf shape.

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