A modelling analysis to identify plant traits for enhanced water-use efficiency of pasture

Abstract. As pressure on water resources increases, pasture species that express traits for improved water-use efficiency (WUE) while maintaining desirable agronomic and production characteristics are needed. The objective of this study was to use a biophysical modelling analysis to test the sensitivity of key pasture plant functional traits on WUE. Biomass production and water use of monocultures of perennial ryegrass (Lolium perenne L.) with varying plant traits were determined under a range of soil, climate, and irrigation conditions. Five plant traits (temperature sensitivity, light extinction, root depth, root partitioning, and sensitivity to water stress) were investigated. Parameters related to root systems had the greatest impact across all environments on harvestable dry matter and WUE. In particular, root depth and root partitioning showed potential for improving both harvestable yield and WUE. These traits merit further attention under more realistic soil conditions, simultaneously taking into consideration other desirable traits such as nutrient capture and agronomic suitability for grazed systems.

[1]  J. Weiner,et al.  The effect of nutrient availability on biomass allocation patterns in 27 species of herbaceous plants , 2000 .

[2]  Howard Thomas,et al.  Effects of Drought on Water Relations, Mineral Uptake, Water-soluble Carbohydrate Accumulation and Survival of Two Contrasting Populations of Cocksfoot (Dactylis glomerata L.) , 1995 .

[3]  P. Williams,et al.  Nutrient cycling and soil fertility in the grazed pasture ecosystem , 1993 .

[4]  Michael Robertson,et al.  Evaluation of the water use efficiency of alternative farm practices at a range of spatial and temporal scales: A conceptual framework and a modelling approach , 2011 .

[5]  Influence of different forage grasses on nitrate capture and leaching loss from a pumice soil , 2010 .

[6]  A. Blum Drought resistance, water-use efficiency, and yield potential-are they compatible, dissonant, or mutually exclusive? , 2005 .

[7]  A. Hewitt New Zealand soil classification. , 1993 .

[8]  I. R. Johnson,et al.  Comparison of outputs of a biophysical simulation model for pasture growth and composition with measured data under dryland and irrigated conditions in New Zealand , 2008 .

[9]  David Tilman,et al.  The relationships among root and leaf traits of 76 grassland species and relative abundance along fertility and disturbance gradients , 2001 .

[10]  P. Reich,et al.  A handbook of protocols for standardised and easy measurement of plant functional traits worldwide , 2003 .

[11]  W. Fulkerson,et al.  Differences in water-use efficiency among perennial forages used by the dairy industry under optimum and deficit irrigation , 2010, Irrigation Science.

[12]  S. Asseng,et al.  The impact of temperature variability on wheat yields , 2011 .

[13]  Lu Zhang,et al.  Global impacts of conversions from natural to agricultural ecosystems on water resources: Quantity versus quality , 2007 .

[14]  S. Polasky,et al.  Agricultural sustainability and intensive production practices , 2002, Nature.

[15]  W. R. Gardner DYNAMIC ASPECTS OF WATER AVAILABILITY TO PLANTS , 1960 .

[16]  Brent Clothier,et al.  The Sustainable Use of Water Resources for Agriculture and Horticulture , 2010 .

[17]  A. Tait,et al.  Generating Multiyear Gridded Daily Rainfall over New Zealand , 2005 .

[18]  J. Kirkegaard,et al.  Increasing productivity by matching farming system management and genotype in water-limited environments. , 2010, Journal of experimental botany.

[19]  R. Monson,et al.  Evolutionary and Ecological Aspects of Photosynthetic Pathway Variation , 1993 .

[20]  I. R. Johnson,et al.  Integration of a pasture model into APSIM. , 2010 .

[21]  M. Hutchings,et al.  The effects of environmental heterogeneity on root growth and root/shoot partitioning. , 2004, Annals of botany.

[22]  Senthold Asseng,et al.  An overview of APSIM, a model designed for farming systems simulation , 2003 .

[23]  P. Thorburn,et al.  Occurrence and simulation of nitrification in two contrasting sugarcane soils from the Australian wet tropics , 2006 .

[24]  S. Fukai,et al.  Development of drought-resistant cultivars using physiomorphological traits in rice , 1995 .

[25]  M. Loureiro,et al.  Drought tolerance is associated with rooting depth and stomatal control of water use in clones of Coffea canephora. , 2005, Annals of botany.

[26]  L. Lilburne,et al.  Estimating nitrate-nitrogen leaching rates under rural land uses in Canterbury , 2010 .

[27]  Dean P. Holzworth,et al.  Simple software processes and tests improve the reliability and usefulness of a model , 2011, Environ. Model. Softw..

[28]  Jennifer W. MacAdam,et al.  Structure and Function of Plants , 2009 .

[29]  T. Howell Enhancing Water Use Efficiency in Irrigated Agriculture , 2001 .

[30]  R. Rawnsley,et al.  Yield and water-use efficiency of contrasting lucerne genotypes grown in a cool temperate environment , 2011 .

[31]  K. M. Pollock,et al.  Herbage production, persistence, nutritive characteristics and water use of perennial forages grown over 6 years on a Wakanui silt loam , 2005 .

[32]  H. A. Mooney,et al.  Maximum rooting depth of vegetation types at the global scale , 1996, Oecologia.

[33]  D. Care,et al.  Root distribution and nitrate interception in eleven temperate forage grasses , 2005 .

[34]  David Pimentel,et al.  Water Resources: Agriculture, the Environment, and Society , 1997 .

[35]  F. Lelièvre,et al.  Drought survival in Dactylis glomerata and Festuca arundinacea under similar rooting conditions in tubes , 2001, Plant and Soil.

[36]  D. Gonthier,et al.  Measures of leaf-level water-use efficiency in drought stressed endophyte infected and non-infected tall fescue grasses , 2009 .

[37]  Hervé Sinoquet,et al.  Radiation Interception, Partitioning and Use in Grass –Clover Mixtures , 1996 .

[38]  M. Faville,et al.  Genotypic variation in patterns of root distribution, nitrate interception and response to moisture stress of a perennial ryegrass (Lolium perenne L.) mapping population , 2007 .

[39]  V. Snow,et al.  Modelling the seasonal and geographical pattern of pasture production in New Zealand , 2011 .

[40]  Dean P. Holzworth,et al.  Simplifying environmental model reuse , 2010, Environ. Model. Softw..

[41]  Peter J. Thorburn,et al.  Modelling decomposition of sugar cane surface residues with APSIM–Residue , 2001 .

[42]  S. Díaz,et al.  Plant functional types and ecosystem function in relation to global change , 1997 .

[43]  B. Bouman,et al.  LINGRA, a sink/source model to simulate grassland productivity in Europe , 1998 .

[44]  Dean Holzworth,et al.  The Common Modelling Protocol: A hierarchical framework for simulation of agricultural and environmental systems , 2007 .

[45]  Bas A. M. Bouman,et al.  A conceptual framework for the improvement of crop water productivity at different spatial scales , 2007 .

[46]  Neil I. Huth,et al.  A framework for simulating agroforestry options for the low rainfall areas of Australia using APSIM , 2002 .

[47]  Daniel Hillel,et al.  Applications of soil physics , 1980 .

[48]  D. Kemp,et al.  Improving the grazing and drought tolerance of temperate perennial grasses , 1994 .

[49]  Greg McLean,et al.  Adapting APSIM to model the physiology and genetics of complex adaptive traits in field crops. , 2010, Journal of experimental botany.

[50]  C. Violle,et al.  Let the concept of trait be functional , 2007 .

[51]  J. Keatinge,et al.  Response of perennial and Italian ryegrass cultivars to temperature and soil water potential , 1980, The Journal of Agricultural Science.

[52]  E. A. Kirkby,et al.  Effect of mineral nutritional status on shoot-root partitioning of photoassimilates and cycling of mineral nutrients. , 1996, Journal of experimental botany.

[53]  W. Parton,et al.  Modelling water, nitrogen, and crop yield for a long-term fallow management experiment , 1995 .

[54]  Abraham Blum,et al.  Effective use of water (EUW) and not water-use efficiency (WUE) is the target of crop yield improvement under drought stress , 2009 .

[55]  P. Lea,et al.  Improving water use efficiency , 2008 .

[56]  I. R. Johnson,et al.  DairyMod and EcoMod: biophysical pasture-simulation models for Australia and New Zealand , 2008 .