<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Lecarpentier C</submitter><funding>Region Ile-de-France</funding><funding>National Research Agency</funding><pagination>961-975</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6589517</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>123(6)</volume><pubmed_abstract>&lt;h4>Background and aims&lt;/h4>Branching is a main morphogenetic process involved in the adaptation of plants to the environment. In grasses, tillering is divided into three phases: tiller emergence, cessation of tillering and tiller regression. Understanding and prediction of the tillering process is a major challenge to better control cereal yields. In this paper, we present and evaluate WALTer, an individual-based model of wheat built on simple self-adaptive rules for predicting the tillering dynamics at contrasting sowing densities.&lt;h4>Methods&lt;/h4>WALTer simulates the three-dimensional (3-D) development of the aerial architecture of winter wheat. Tillering was modelled using two main hypotheses: (H1) a plant ceases to initiate new tillers when a critical Green Area Index (GAIc) is reached</pubmed_abstract><journal>Annals of botany</journal><pubmed_title>WALTer: a three-dimensional wheat model to study competition for light through the prediction of tillering dynamics.</pubmed_title><pmcid>PMC6589517</pmcid><funding_grant_id>03-2010/GV-DIM ASTREA</funding_grant_id><funding_grant_id>ANR-13-AGRO-0008</funding_grant_id><pubmed_authors>Blanc E</pubmed_authors><pubmed_authors>Enjalbert J</pubmed_authors><pubmed_authors>Andrieu B</pubmed_authors><pubmed_authors>Lecarpentier C</pubmed_authors><pubmed_authors>Barillot R</pubmed_authors><pubmed_authors>Abichou M</pubmed_authors><pubmed_authors>Goldringer I</pubmed_authors><pubmed_authors>Barbillon P</pubmed_authors></additional><is_claimable>false</is_claimable><name>WALTer: a three-dimensional wheat model to study competition for light through the prediction of tillering dynamics.</name><description>&lt;h4>Background and aims&lt;/h4>Branching is a main morphogenetic process involved in the adaptation of plants to the environment. In grasses, tillering is divided into three phases: tiller emergence, cessation of tillering and tiller regression. Understanding and prediction of the tillering process is a major challenge to better control cereal yields. In this paper, we present and evaluate WALTer, an individual-based model of wheat built on simple self-adaptive rules for predicting the tillering dynamics at contrasting sowing densities.&lt;h4>Methods&lt;/h4>WALTer simulates the three-dimensional (3-D) development of the aerial architecture of winter wheat. Tillering was modelled using two main hypotheses: (H1) a plant ceases to initiate new tillers when a critical Green Area Index (GAIc) is reached</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Jun</publication><modification>2025-04-05T15:22:29.466Z</modification><creation>2020-06-27T07:27:08Z</creation></dates><accession>S-EPMC6589517</accession><cross_references><pubmed>30629113</pubmed><doi>10.1093/aob/mcy226</doi></cross_references></HashMap>