Modelling the comparative growth, water use and productivity of the perennial legumes, tedera (Bituminaria bituminosa var. albomarginata) and lucerne (Medicago sativa) in dryland mixed farming systems
Chao Chen A C , Andrew Smith B , Phil Ward A , Andrew Fletcher A , Roger Lawes A and Hayley Norman A
+ Author Affiliations
- Author Affiliations
A CSIRO Agriculture and Food, Private Bag 5, PO Wembley, WA 6913, Australia.
B Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Vic. 3010, Australia.
C Corresponding author. Email: chao.chen@csiro.au
Crop and Pasture Science 68(7) 643-656 https://doi.org/10.1071/CP17131
Submitted: 30 March 2017 Accepted: 2 August 2017 Published: 1 September 2017
Abstract
Tedera (Bituminaria bituminosa var. albomarginata) has been proposed as an alternative perennial forage legume to lucerne in the mixed farming zone of Australia. Simulation of growth and production of tedera would be a useful tool for assessing its integration into Australian farming systems and agronomic and management options. This paper describes the development and testing of a model of the growth and development of tedera in Agricultural Production Systems Simulator (APSIM). The existing APSIM-Lucerne was modified to develop APSIM-Tedera. The key physiological parameters for tedera were obtained from the literature or by measuring and comparing the phenology and growth characteristics of tedera and lucerne in glasshouse experiments and partially from field experiments. The model was tested using data from a diverse range of soil and climatic conditions. Using the modelling approach, the production of tedera and lucerne was also assessed with long-term (1951–2015) weather data at Arthur River, Western Australia. Biomass simulations of tedera (n = 26, observed mean = 510 kg dry mass ha–1) explained 66% of the observed variation in field experiments (root mean square deviation = 212 kg dry mass ha–1). Long-term simulations of a 4-year pasture phase showed that more total annual biomass (5600 kg ha–1) would be obtained from lucerne than tedera if the pasture forage was harvested four times a year. Less biomass (400 kg ha–1) was also simulated for tedera in summer under this management. When the pasture forage was harvested when biomass was more than 2000 kg ha–1, tedera and lucerne produced similar accumulated biomass in the second (8000 kg ha–1), third (12 000 kg ha–1) and fourth (15 000 kg ha–1) years, but much less in the first 2 years for tedera. The model can be used for assessing tedera production, agronomic and management options in the Mediterranean climate of Australia. The present preliminary study indicates that tedera is not as effective as lucerne for total biomass production, but it may provide useful feed in situations where the summer-autumn feed gap is a major constraint to production. Further research is also necessary to determine the potential role of tedera in areas where lucerne is not well adapted.
Additional keywords: APSIM, forage legumes, lucerne biomass, model performance, tedera production.
References
Anderson G, Fillery I, Dunin F, Dolling P, Asseng S (1998) Nitrogen and water flows under pasture–wheat and lupin–wheat rotations in deep sands in Western Australia. 2. Drainage and nitrate leaching. Australian Journal of Agricultural Research 49, 345–362.| Nitrogen and water flows under pasture–wheat and lupin–wheat rotations in deep sands in Western Australia. 2. Drainage and nitrate leaching.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1cXisFGqsbk%3D&md5=743746f1f607ee90c60fb698bce88311CAS |
Bathgate A, Pannell DJ (2002) Economics of deep-rooted perennials in Western Australia. Agricultural Water Management 53, 117–132.
| Economics of deep-rooted perennials in Western Australia.Crossref | GoogleScholarGoogle Scholar |
Beard C, Nichols P, Loo C, Michael P (2014) Establishment of tedera (Bituminaria bituminosa var. albomarginata). Future Farm Industries CRC, Technical report 13. Perth, Western Australia.
Bell L (2005) Relative growth rate, resource allocation and root morphology in the perennial legumes, Medicago sativa, Dorycnium rectum and D. hirsutum grown under controlled conditions. Plant and Soil 270, 199–211.
| Relative growth rate, resource allocation and root morphology in the perennial legumes, Medicago sativa, Dorycnium rectum and D. hirsutum grown under controlled conditions.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXks1ekt7Y%3D&md5=1be3f282120135fe4d3abadf503adbe3CAS |
Bell LW, Moore AD, Kirkegaard JA (2014) Evolution in crop–livestock integration systems that improve farm productivity and environmental performance in Australia. European Journal of Agronomy 57, 10–20.
| Evolution in crop–livestock integration systems that improve farm productivity and environmental performance in Australia.Crossref | GoogleScholarGoogle Scholar |
Carberry P, Muchow R, Williams R, Sturtz J, McCown R (1992) A simulation model of kenaf for assisting fibre industry planning in northern Australia. I. General introduction and phenological model. Australian Journal of Agricultural Research 43, 1501–1513.
| A simulation model of kenaf for assisting fibre industry planning in northern Australia. I. General introduction and phenological model.Crossref | GoogleScholarGoogle Scholar |
Carberry P, Ranganathan R, Reddy L, Chauhan Y, Robertson M (2001) Predicting growth and development of pigeonpea: flowering response to photoperiod. Field Crops Research 69, 151–162.
| Predicting growth and development of pigeonpea: flowering response to photoperiod.Crossref | GoogleScholarGoogle Scholar |
Cocks P (2001) Ecology of herbaceous perennial legumes: a review of characteristics that may provide management options for the control of salinity and waterlogging in dryland cropping systems. Crop & Pasture Science 52, 137–151.
| Ecology of herbaceous perennial legumes: a review of characteristics that may provide management options for the control of salinity and waterlogging in dryland cropping systems.Crossref | GoogleScholarGoogle Scholar |
Correal E, Hoyos A, Ríos S, Méndez P, Real D, Snowball R, Costa J (2008) Seed production of Bituminaria bituminosa: Size, production, retention and germination capacity of the legumes. Options Mediterranéennes 79, 379–384.
Cullen B, Eckard R, Callow M, Johnson I, Chapman D, Rawnsley R, Garcia S, White T, Snow V (2008) Simulating pasture growth rates in Australian and New Zealand grazing systems. Crop & Pasture Science 59, 761–768.
| Simulating pasture growth rates in Australian and New Zealand grazing systems.Crossref | GoogleScholarGoogle Scholar |
Cullen B, Johnson I, Eckard R, Lodge G, Walker R, Rawnsley R, McCaskill M (2009) Climate change effects on pasture systems in south-eastern Australia. Crop & Pasture Science 60, 933–942.
| Climate change effects on pasture systems in south-eastern Australia.Crossref | GoogleScholarGoogle Scholar |
Dardanelli JL, Bachmeier OA, Sereno R, Gil R (1997) Rooting depth and soil water extraction patterns of different crops in a silty loam Haplustoll. Field Crops Research 54, 29–38.
| Rooting depth and soil water extraction patterns of different crops in a silty loam Haplustoll.Crossref | GoogleScholarGoogle Scholar |
Farquhar GD, Ehleringer JR, Hubick KT (1989) Carbon isotope discrimination and photosynthesis. Annual Review of Plant Biology 40, 503–537.
| Carbon isotope discrimination and photosynthesis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaL1MXktlKmu70%3D&md5=a553539e0b0a75c4b770e2948a5cb5fcCAS |
Farré I, Robertson MJ, Asseng S, French RJ, Dracup M (2004) Simulating lupin development, growth, and yield in a Mediterranean environment. Australian Journal of Agricultural Research 55, 863–877.
| Simulating lupin development, growth, and yield in a Mediterranean environment.Crossref | GoogleScholarGoogle Scholar |
Finlayson J, Real D, Nordblom T, Revell C, Ewing M, Kingwell R (2012) Farm level assessments of a novel drought tolerant forage: Tedera (Bituminaria bituminosa CH Stirt var. albomarginata). Agricultural Systems 112, 38–47.
| Farm level assessments of a novel drought tolerant forage: Tedera (Bituminaria bituminosa CH Stirt var. albomarginata).Crossref | GoogleScholarGoogle Scholar |
Foster K, Ryan MH, Real D, Ramankutty P, Lambers H (2013) Seasonal and diurnal variation in the stomatal conductance and paraheliotropism of tedera (Bituminaria bituminosa var. albomarginata) in the field. Functional Plant Biology 40, 719–729.
| Seasonal and diurnal variation in the stomatal conductance and paraheliotropism of tedera (Bituminaria bituminosa var. albomarginata) in the field.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3sXhtFSrtrvO&md5=e4b1f98fd233f00ea918258f5ef7edccCAS |
Foster K, Lambers H, Real D, Ramankutty P, Cawthray G, Ryan M (2015) Drought resistance and recovery in mature Bituminaria bituminosa var. albomarginata. Annals of Applied Biology 166, 154–169.
| Drought resistance and recovery in mature Bituminaria bituminosa var. albomarginata.Crossref | GoogleScholarGoogle Scholar |
Gibberd MR, Walker RR, Blackmore DH, Condon AG (2001) Transpiration efficiency and carbon‐isotope discrimination of grapevines grown under well‐watered conditions in either glasshouse or vineyard. Australian Journal of Grape and Wine Research 7, 110–117.
| Transpiration efficiency and carbon‐isotope discrimination of grapevines grown under well‐watered conditions in either glasshouse or vineyard.Crossref | GoogleScholarGoogle Scholar |
Gülümser E, Zeki A (2012) Morphological and chemical characters of Bituminaria obituminosa (L) CH (Stirtion) grown naturally in Middle Black Sea Region. Turkish Journal of Field Crops 17, 101–104.
Harvey RG, McNevin GR (1990) Combining cultural practices and herbicides to control wild-proso millet (Panicum miliaceum). Weed Technology 4, 433–439.
Holzworth DP, Huth NI, Devoil PG, Zurcher EJ, Herrmann NI, McLean G, Chenu K, van Oosterom EJ, Snow V, Murphy C, Moore AD, Brown H, Whish JPM, Verrall S, Fainges J, Bell LW, Peake AS, Poulton PL, Hochman Z, Thorburn PJ, Gaydon DS, Dalgliesh NP, Rodriguez D, Cox H, Chapman S, Doherty A, Teixeira E, Sharp J, Cichota R, Vogeler I, Li FY, Wang EL, Hammer GL, Robertson MJ, Dimes JP, Whitbread AM, Hunt J, van Rees H, McClelland T, Carberry PS, Hargreaves JNG, MacLeod N, McDonald C, Harsdorf J, Wedgwood S, Keating BA (2014) APSIM – Evolution towards a new generation of agricultural systems simulation. Environmental Modelling & Software 62, 327–350.
| APSIM – Evolution towards a new generation of agricultural systems simulation.Crossref | GoogleScholarGoogle Scholar |
Johnson I, Lodge G, White R (2003) The sustainable grazing systems pasture model: description, philosophy and application to the SGS National Experiment. Animal Production Science 43, 711–728.
| The sustainable grazing systems pasture model: description, philosophy and application to the SGS National Experiment.Crossref | GoogleScholarGoogle Scholar |
Jones C, Richie J, Kiniry J, Godwin D (1986) ‘Subroutine structure. CERES-Maize: a simulation model of maize growth and development.’ (Eds CA Jones, JR Kiniry with contributions by PT Dyke, DB Farmer, DC Godwin, SH Parker, JT Ritchie, DA Spanel) (Texas A&M University Press: College Station, TX, USA)
Keating B, Scientific C, Meinke H, Probert M, Huth N, Hills I (2001a) ‘NWheat: documentation and performance of a wheat module for APSIM.’ (Texas A&M University Press: College Station, TX, USA)
Keating BA, Verburg K, Smith C, Probert ME, Gaydon D (2001b) Assessing leakiness in Australia’s dryland farming systems. In ‘Proceedings of the International Congress on Modelling and Simulation’. Australian National University. pp. 1811–1816. (Modelling and Simulation Society of Australia and New Zealand: Perth, WA)
Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ (2003) An overview of APSIM, a model designed for farming systems simulation. European Journal of Agronomy 18, 267–288.
| An overview of APSIM, a model designed for farming systems simulation.Crossref | GoogleScholarGoogle Scholar |
Latta R, Crettenden J (2010) Evaluation of perennial forage legumes on Eyre Peninsula. In ‘Eyre Peninsula Farming Systems 2010 Summary’. pp. 141–142. (SARDI: Minnipa Agricultural Centre, SA)
Masters DG, Benes SE, Norman HC (2007) Biosaline agriculture for forage and livestock production. Agriculture, Ecosystems & Environment 119, 234–248.
| Biosaline agriculture for forage and livestock production.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXnslGitg%3D%3D&md5=343b95af209e0efe21c81f76cd966ac3CAS |
Meinke H, Hammer G, Van Keulen H, Rabbinge R (1998) Improving wheat simulation capabilities in Australia from a cropping systems perspective III. The integrated wheat model (I_WHEAT). European Journal of Agronomy 8, 101–116.
| Improving wheat simulation capabilities in Australia from a cropping systems perspective III. The integrated wheat model (I_WHEAT).Crossref | GoogleScholarGoogle Scholar |
Pang J, Yang J, Ward P, Siddique KH, Lambers H, Tibbett M, Ryan M (2011) Contrasting responses to drought stress in herbaceous perennial legumes. Plant and Soil 348, 299–314.
| Contrasting responses to drought stress in herbaceous perennial legumes.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC3MXht1Gnt7rN&md5=36f26492f238432632275323b7a6fe9bCAS |
Pembleton K, Rawnsley R, Donaghy D (2011) Yield and water-use efficiency of contrasting lucerne genotypes grown in a cool temperate environment. Crop & Pasture Science 62, 610–623.
| Yield and water-use efficiency of contrasting lucerne genotypes grown in a cool temperate environment.Crossref | GoogleScholarGoogle Scholar |
Pembleton K, Rawnsley R, Jacobs J, Mickan F, O’Brien G, Cullen B, Ramilan T (2013) Evaluating the accuracy of the Agricultural Production Systems Simulator (APSIM) simulating growth, development, and herbage nutritive characteristics of forage crops grown in the south-eastern dairy regions of Australia. Crop & Pasture Science 64, 147–164.
| Evaluating the accuracy of the Agricultural Production Systems Simulator (APSIM) simulating growth, development, and herbage nutritive characteristics of forage crops grown in the south-eastern dairy regions of Australia.Crossref | GoogleScholarGoogle Scholar |
Peng S, Krieg DR, Girma FS (1991) Leaf photosynthetic rate is correlated with biomass and grain production in grain sorghum lines. Photosynthesis Research 28, 1–7.
| Leaf photosynthetic rate is correlated with biomass and grain production in grain sorghum lines.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK3MXhs1Wqt7c%3D&md5=4f12e0a2436f99bf99c5370acd425099CAS |
Poorter L, Bongers F (2006) Leaf traits are good predictors of plant performance across 53 rain forest species. Ecology 87, 1733–1743.
| Leaf traits are good predictors of plant performance across 53 rain forest species.Crossref | GoogleScholarGoogle Scholar |
Raeside M, Nie Z, Clark S, Partington D, Behrendt R, Real D (2012) Evaluation of tedera [(Bituminaria bituminosa (L.) CH Stirton var. albomarginata)] as a forage alternative for sheep in temperate southern Australia. Crop & Pasture Science 63, 1135–1144.
| Evaluation of tedera [(Bituminaria bituminosa (L.) CH Stirton var. albomarginata)] as a forage alternative for sheep in temperate southern Australia.Crossref | GoogleScholarGoogle Scholar |
Real D, Kidd D (2012) Forage production of the drought tolerant Mediterranean forage legume tedera (Bituminaria bituminosa var. albomarginata) in the medium-rainfall zone of south Western Australia as affected by plant density and cutting frequency. Options Mediterranéennes Ser. A 102, 387–390.
Real D, Correal E, Méndez P, Santos A, Ríos S, Sternberg M, Dini-Papanastasi O, Pecetti L, Tava A (2009) Bituminaria bituminosa CH Stirton. In ‘Grassland species profiles’. (Food and Agriculture Organisation of the United Nations: Rome) Available at: www.fao.org/ag/AGP/agpc/doc/Gbase/new_species/tedera/bitbit.htm (accessed 28 July 2017)
Real D, Oldham C, Nelson MN, Croser J, Castello M, Verbyla A, Pradhan A, Van Burgel A, Méndez P, Correal E (2014) Evaluation and breeding of tedera for Mediterranean climates in southern Australia. Crop & Pasture Science 65, 1114–1131.
| Evaluation and breeding of tedera for Mediterranean climates in southern Australia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhvVOnsrvK&md5=25eabc1846ea0d41b7348d203344fb78CAS |
Robertson M, Holland J, Kirkegaard J, Smith C (1999) Simulating growth and development of canola in Australia. In ‘Proceedings of the 10th International Rapeseed Congress’. Canberra, ACT. (The Regional Institute: Gosford, NSW) Available at: www.regional.org.au/au/gcirc/index.htm (accessed 28 July 2017)
Robertson M, Carberry P, Chauhan Y, Ranganathan R, O’leary G (2001) Predicting growth and development of pigeonpea: a simulation model. Field Crops Research 71, 195–210.
| Predicting growth and development of pigeonpea: a simulation model.Crossref | GoogleScholarGoogle Scholar |
Robertson M, Asseng S, Kirkegaard J, Wratten N, Holland J, Watkinson A, Potter T, Burton W, Walton G, Moot D (2002a) Environmental and genotypic control of time to flowering in canola and Indian mustard. Australian Journal of Agricultural Research 53, 793–809.
| Environmental and genotypic control of time to flowering in canola and Indian mustard.Crossref | GoogleScholarGoogle Scholar |
Robertson MJ, Carberry PS, Huth NI, Turpin JE, Probert ME, Poulton PL, Bell M, Wright GC, Yeates SJ, Brinsmead RB (2002b) Simulation of growth and development of diverse legume species in APSIM. Australian Journal of Agricultural Research 53, 429–446.
| Simulation of growth and development of diverse legume species in APSIM.Crossref | GoogleScholarGoogle Scholar |
Russelle MP, Entz MH, Franzluebbers AJ (2007) Reconsidering integrated crop–livestock systems in North America. Agronomy Journal 99, 325–334.
| Reconsidering integrated crop–livestock systems in North America.Crossref | GoogleScholarGoogle Scholar |
Suriyagoda LDB, Real D, Renton M, Lambers H, Ryan MH (2013) Establishment, survival, and herbage production of novel, summer-active perennial pasture legumes in the low-rainfall cropping zone of Western Australia as affected by plant density and cutting frequency. Crop & Pasture Science 64, 71–85.
| Establishment, survival, and herbage production of novel, summer-active perennial pasture legumes in the low-rainfall cropping zone of Western Australia as affected by plant density and cutting frequency.Crossref | GoogleScholarGoogle Scholar |
Zhai T, Mohtar RH, Karsten HD, Carlassare M (2004) Modeling growth and competition of a multi-species pasture system. Transactions of the American Society of Agricultural Engineers 47, 617–627.
| Modeling growth and competition of a multi-species pasture system.Crossref | GoogleScholarGoogle Scholar |
Zhao D, Reddy KR, Kakani VG, Reddy V (2005) Nitrogen deficiency effects on plant growth, leaf photosynthesis, and hyperspectral reflectance properties of sorghum. European Journal of Agronomy 22, 391–403.
| Nitrogen deficiency effects on plant growth, leaf photosynthesis, and hyperspectral reflectance properties of sorghum.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2MXjt1Wjsrs%3D&md5=4dd2ce4e2bdf5fc4255685b6cb5e8ecfCAS |
