Kernel methods for phenotyping complex plant architecture
type: Dataset
description: The Quantitative Trait Loci (QTL) mapping of plant architecture is a critical step for understanding the genetic determinism of plant architecture. Previous studies adopted simple measurements, such as plant-height, stem-diameter and branching-intensity for QTL mapping of plant architecture. Many of these quantitative traits were generally correlated to each other, which give rise to statistical problem in the detection of QTL. We aim to test the applicability of kernel methods to phenotyping inflorescence architecture and its QTL mapping. We first test Kernel Principal Component Analysis (KPCA) and Support Vector Machines (SVM) over an artificial dataset of simulated inflorescences with different types of flower distribution, which is coded as a sequence of flower-number per node along a shoot. The ability of discriminating the different inflorescence types by SVM and kernel PCA is illustrated. We then apply the KPCA representation to the real dataset of rose inflorescence shoots (n=1460) obtained from a 98 F1-hybrid mapping population. We find kernel principal components with high heritability (>0.7), and the QTL analysis identifies a new QTL, which was not detected by a trait-by-trait analysis of simple architectural measurements. The main tools developed in this paper could be use to tackle the general problem of QTL mapping of complex (sequences, 3D structure, graphs) phenotypic traits.
issued: 2026-05-10T23:14:18.934257
language: en
modified: 2026-05-10T23:14:18.934261
contact point: Organization
  fn: CCSD
keyword: inflorescence
keyword: infoeu-reposemanticspreprint
keyword: kernel-methods
keyword: machine-learning
keyword: mathmath-stmathematics-mathstatistics-mathst
keyword: preprints-working-papers-
keyword: qtl-mapping
keyword: sdvbvlife-sciences-q-biovegetal-biology
keyword: statthstatistics-statstatistics-theory-statth
keyword: svm
landing page: https://hal.science/hal-00827706

Kernel methods for phenotyping complex plant architecture
type: Distribution
format: HTML
issued: 2026-05-10T23:14:18.950776
modified: 2026-05-10T23:14:18.923976
access URL: https://hal.science/hal-00827706

test_moissonnage_selune
type: Agent