@article{fdi:010061184,
  title = {{P}-{TRAP} : a panicle trait phenotyping tool},
  author = {{A}l-{T}am, {F}. and {A}dam, {H}{\'e}l{\`e}ne and dos {A}njos, {A}. and {L}orieux, {M}athias and {L}armande, {P}ierre and {G}hesqui{\`e}re, {A}lain and {J}ouannic, {S}tefan and {S}hahbazkia, {H}. {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{B}ackground: {I}n crops, inflorescence complexity and the shape and size of the seed are among the most important characters that influence yield. {F}or example, rice panicles vary considerably in the number and order of branches, elongation of the axis, and the shape and size of the seed. {M}anual low-throughput phenotyping methods are time consuming, and the results are unreliable. {H}owever, high-throughput image analysis of the qualitative and quantitative traits of rice panicles is essential for understanding the diversity of the panicle as well as for breeding programs. {R}esults: {T}his paper presents {P}-{TRAP} software ({P}anicle {TRA}it {P}henotyping), a free open source application for high-throughput measurements of panicle architecture and seed-related traits. {T}he software is written in {J}ava and can be used with different platforms (the user-friendly {G}raphical {U}ser {I}nterface ({GUI}) uses {N}etbeans {P}latform 7.3). {T}he application offers three main tools: a tool for the analysis of panicle structure, a spikelet/grain counting tool, and a tool for the analysis of seed shape. {T}he three tools can be used independently or simultaneously for analysis of the same image. {R}esults are then reported in the {E}xtensible {M}arkup {L}anguage ({XML}) and {C}omma {S}eparated {V}alues ({CSV}) file formats. {I}mages of rice panicles were used to evaluate the efficiency and robustness of the software. {C}ompared to data obtained by manual processing, {P}-{TRAP} produced reliable results in a much shorter time. {I}n addition, manual processing is not repeatable because dry panicles are vulnerable to damage. {T}he software is very useful, practical and collects much more data than human operators. {C}onclusions: {P}-{TRAP} is a new open source software that automatically recognizes the structure of a panicle and the seeds on the panicle in numeric images. {T}he software processes and quantifies several traits related to panicle structure, detects and counts the grains, and measures their shape parameters. {I}n short, {P}-{TRAP} offers both efficient results and a user-friendly environment for experiments. {T}he experimental results showed very good accuracy compared to field operator, expert verification and well-known academic methods.},
  keywords = {{P}henotyping ; 2{D} images ; {P}anicle ; {S}eed ; {S}tructure ; {R}ice},
  booktitle = {},
  journal = {{B}mc {P}lant {B}iology},
  volume = {13},
  numero = {},
  pages = {122},
  ISSN = {1471-2229},
  year = {2013},
  DOI = {10.1186/1471-2229-13-122},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061184},
}