Data/hora: 16/06/2024 08:21:43

Biblioteca(s): 	Epagri-Sede.	
Data corrente: 	30/11/2018	
Data da última atualização: 	30/11/2018	
Autoria: 	SOUFIZADEH, S.; MUNARO, E.; MCLEAN, G.; MASSIGNAM, A. M.; OOSTEROM, E. V.; CHAPMAN, S.; MESSINA, C.; COOPER, M.; HAMMER, G.	
Título: 	Modelling the nitrogen dynamics of maize crops - Enhancing the APSIM maize model.	
Ano de publicação: 	2018	
Fonte/Imprenta: 	European Journal of Agronomy, Agroscope, Suiça, v. 100, p. 118-131, 2018.	
Idioma: 	Inglês	
Conteúdo: 	Crop growth simulation models require robust ecophysiological functionality to support credible simulation of diverse genotype×management×environment (G×M×E) combinations. Most efforts on modeling the nitrogen (N) dynamics of crops use a minimum, critical, and maximum N concentration per unit biomass based empirically on experimental observations. Here we present a physiologically more robust approach, originally implemented in sorghum, which uses the N content per unit leaf area as a key driver of N demand. The objective was to implement the conceptual framework of the APSIM sorghum nitrogen dynamics model in APSIM maize and to validate the robustness of the model across a range of G×M×E combinations. The N modelling framework is described and its parameterisation for maize is developed based on three previously reported detailed field experiments, conducted at Gatton (27°34&#8242;S, 152°20&#8242;), Queensland, Australia, supplemented by literature data. There was considerable correspondence with parameterisation results found for sorghum, suggesting potential for generality of this framework for modelling crop N dynamics in cereals. Comprehensive model testing indicated accurate predictions at organ and crop scale across a diverse range of experiments and demonstrated that observed responses to a range of management factors were reproduced credibly. This supports the use of the model to extrapolate and predict performance and adaptation under new G×M×E combinations. Capturing this advance with reduced complexity compared to the N concentration approach provides a firm basis to progress the role of modelling in exploring the genetic underpinning of complex traits and in plant breeding and crop improvement generally.	
Palavras-Chave: 	Ecophysiology; Maize; Modelling; Nitrogen; Simulation.	
Categoria do assunto: 	X Pesquisa, Tecnologia e Engenharia	
URL: 	http://intranetdoc.epagri.sc.gov.br/producao_tecnico_cientifica/DOC_41735.pdf	
Registro original: 	Epagri-Sede (Epagri-Sede)	
Exemplares: 	Epagri-Sede - (103099-1) - UPC - AP - DD -  -  -  - DIS