Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Analysis of petal shape variation of Primula sieboldii by elliptic fourier descriptors and principal component analysis.

Annals of botany - 1 Nov 2004

Yoshioka Yosuke, Iwata Hiroyoshi, Ohsawa Ryo, Ninomiya Seishi

Abstract excerpt

BACKGROUND AND AIMS: Petals are important for Primula sieboldii because of the commercial value of its flowers, and their form is a target characteristic for breeding. An appropriate understanding of petal form in terms of genetic mechanisms and environmental effects is necessary for improvement of this species. The aim of this study was to establish a quantitative evaluation method of petal shape by elliptic...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Analysis of Variance
Share to Flowers
Share to Fourier Analysis

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotype

Share to Models, Theoretical

Share to Principal Component Analysis

Source

Open in PubMed Open full text

Identifiers

PMID: 15374833
DOI: 10.1093/aob/mch190
PMCID: PMC4242211

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Analysis of petal shape variation of Primula sieboldii by elliptic fourier descriptors and principal component analysis.PMID 15374833Read ↗

Quantitative evaluation of the petal shape variation in Primula sieboldii caused by breeding process in the last 300 years.Semantic proximity Read ↗

A quantitative framework for flower phenotyping in cultivated carnation (Dianthus caryophyllus L.).Semantic proximity Read ↗

Multi-Dimensional Machine Learning Approaches for Fruit Shape Recognition and Phenotyping in StrawberrySemantic proximity Read ↗

Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry.Semantic proximity Read ↗

Phenotypic variations of naturally grown Iris persica L. accessions as revealed using multivariate analytical methods.Semantic proximity Read ↗

Comparative assessment of floral bud morphological differences among three eucalyptus species and their potential relationship on hybrid pollination.Semantic proximity Read ↗

A modern ampelography: a genetic basis for leaf shape and venation patterning in grape.Semantic proximity Read ↗

Morphometric trait analysis and machine learning-based yield modeling in wood apple (Feronia limonia L.).Semantic proximity Read ↗

Morpho-phenological and pomological characteristics in differentiating and selecting superior quince (Cydonia oblonga mill.).Semantic proximity Read ↗

Petal micromorphology and its relationship to pollination.Semantic proximity Read ↗

3D revelation of phenotypic variation, evolutionary allometry, and ancestral states of corolla shape: a case study of clade Corytholoma (subtribe Ligeriinae, family Gesneriaceae).Semantic proximity Read ↗

Comparison of shape quantification methods for genomic prediction, and genome-wide association study of sorghum seed morphology.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.