{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Lecarpentier C"],"funding":["Region Ile-de-France","National Research Agency"],"pagination":["961-975"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6589517"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["123(6)"],"pubmed_abstract":["Background and aims
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.Methods
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"],"journal":["Annals of botany"],"pubmed_title":["WALTer: a three-dimensional wheat model to study competition for light through the prediction of tillering dynamics."],"pmcid":["PMC6589517"],"funding_grant_id":["03-2010/GV-DIM ASTREA","ANR-13-AGRO-0008"],"pubmed_authors":["Blanc E","Enjalbert J","Andrieu B","Lecarpentier C","Barillot R","Abichou M","Goldringer I","Barbillon P"],"additional_accession":[]},"is_claimable":false,"name":"WALTer: a three-dimensional wheat model to study competition for light through the prediction of tillering dynamics.","description":"Background and aims
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.Methods
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","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Jun","modification":"2025-04-05T15:22:29.466Z","creation":"2020-06-27T07:27:08Z"},"accession":"S-EPMC6589517","cross_references":{"pubmed":["30629113"],"doi":["10.1093/aob/mcy226"]}}