Plant available soil water at sowing in Mediterranean environments—Is it a useful criterion to aid nitrogen fertiliser and sowing decisions?

Moeller, Carina; Asseng, Senthold; Berger, Jens; Milroy, S.P.

doi:10.1016/j.fcr.2009.07.012

Cited by 51 publications

(19 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This analysis is consistent with our previous work on the economic benefits of adopting higher N rates and/or tactical N by soil zone in farms located in Karoonda in the Mallee region of southern Australia (Monjardino et al, 2013), as well as with a range of other studies demonstrating the economic benefits of tactical N management (Angus, 2001;Broun, 2007;Kingwell et al, 1993;Lobell, 2007;McDonald, 1989;Moeller et al, 2009;Nordblom et al, 1985;Oliver and Robertson, 2009), agricultural intensification of marginal cropping land (Asseng et al, 2001;Babcock, 1992;Bryan et al, 2014;Good, 2004;Sadras, 2002;Sadras and Rodriguez, 2010;Sadras and Roget, 2004;Spiertz, 2010). Importantly, our results demonstrate the value of applying a range of research tools, such as crop growth simulation models in combination with economic-risk measures and risk-aversion theory.…”

Section: Multi-criteria N Rate (Mc)supporting

confidence: 87%

Farmer risk-aversion limits closure of yield and profit gaps: A study of nitrogen management in the southern Australian wheatbelt

Monjardino

McBeath

Ouzman

et al. 2015

Agricultural Systems

View full text Add to dashboard Cite

Section: Multi-criteria N Rate (Mc)supporting

confidence: 87%

Farmer risk-aversion limits closure of yield and profit gaps: A study of nitrogen management in the southern Australian wheatbelt

Monjardino

McBeath

Ouzman

et al. 2015

Agricultural Systems

View full text Add to dashboard Cite

“…Here initial conditions have no special importance; many of the input variables are difficult to estimate and may have quite large uncertainties. Though not usually referred to as ensemble studies, there have been multiple studies of the effect of input uncertainty on crop model simulations (Bouman 1994;Aggarwal 1995;Moeller et al 2009;Roux et al 2014). Two specific types of input uncertainty have received particular attention recently.…”

Section: Creating Ensembles Based On a Single Model With Multiple Inpmentioning

confidence: 99%

Lessons from climate modeling on the design and use of ensembles for crop modeling

et al. 2016

Self Cite

View full text Add to dashboard Cite

Working with ensembles of crop models is a recent but important development in crop modeling which promises to lead to better uncertainty estimates for model projections and predictions, better predictions using the ensemble mean or median, and closer collaboration within the modeling community. There are numerous open questions about the best way to create and analyze such ensembles. Much can be learned from the field of climate modeling, given its much longer experience with ensembles. We draw on that experience to identify questions and make propositions that should help make ensemble modeling with crop models more rigorous and informative. The propositions include defining criteria for acceptance of models in a crop MME, exploring criteria for evaluating the degree of relatedness of models in a MME, studying the effect of number of models in the ensemble, development of a statistical model of model sampling, creation of a repository for MME results, studies of possible differential weighting of models in an ensemble, creation of single model ensembles based on sampling from the uncertainty distribution of parameter values or inputs specifically Climatic Change (2016) 139:551-564 DOI 10.1007/s10584-016-1803-1 Highlights ?•Ensembles of crop models can improve uncertainty estimates, impact projections, and collaboration.•The climate modeling community has identified and studied many of the questions related to design and analysis of ensembles.•Much of the climate experience could be adapted to crop modeling. oriented toward uncertainty estimation, the creation of super ensembles that sample more than one source of uncertainty, the analysis of super ensemble results to obtain information on total uncertainty and the separate contributions of different sources of uncertainty and finally further investigation of the use of the multi-model mean or median as a predictor.

show abstract

“…For crops which grow on soil water accumulated before sowing or early in growth, there is a significant benefit in conserving water for the reproductive phase (Richards and Passioura 1989;Morison et al 2008). Alternatively, for crops growing under conditions of more uniform rainfall distribution, the ability to capture water and use it quickly may be beneficial (Turner and Nicolas 1987;Moeller et al 2009). Severely water-stressed crops leave substantial amounts of available water in the subsoil at maturity and few would argue that the root system was too small to capture soil water.…”

Section: Introductionmentioning

confidence: 99%

Large root systems: are they useful in adapting wheat to dry environments?

Palta

Chen

Milroy

et al. 2011

Functional Plant Biol.

Self Cite

256

187

View full text Add to dashboard Cite

Abstract. There is little consensus on whether having a large root system is the best strategy in adapting wheat (Triticum aestivum L.) to water-limited environments. We explore the reasons for the lack of consensus and aim to answer the question of whether a large root system is useful in adapting wheat to dry environments. We used unpublished data from glasshouse and field experiments examining the relationship between root system size and their functional implication for water capture. Individual root traits for water uptake do not describe a root system as being large or small. However, the recent invigoration of the root system in wheat by indirect selection for increased leaf vigour has enlarged the root system through increases in root biomass and length and root length density. This large root system contributes to increasing the capture of water and nitrogen early in the season, and facilitates the capture of additional water for grain filling. The usefulness of a vigorous root system in increasing wheat yields under water-limited conditions maybe greater in environments where crops rely largely on seasonal rainfall, such as the Mediterranean-type environments. In environments where crops are reliant on stored soil water, a vigorous root system increases the risk of depleting soil water before completion of grain filling.Additional keywords: root biomass, root length, root length density, root system size, water capture.

show abstract

Plant available soil water at sowing in Mediterranean environments—Is it a useful criterion to aid nitrogen fertiliser and sowing decisions?

Cited by 51 publications

References 29 publications

Farmer risk-aversion limits closure of yield and profit gaps: A study of nitrogen management in the southern Australian wheatbelt

Farmer risk-aversion limits closure of yield and profit gaps: A study of nitrogen management in the southern Australian wheatbelt

Lessons from climate modeling on the design and use of ensembles for crop modeling

Large root systems: are they useful in adapting wheat to dry environments?

Contact Info

Product

Resources

About