Intrinsic capacity for nutrient foraging predicts critical external phosphorus requirement of 12 pasture legumes
Graeme A. Sandral A D , Rebecca E. Haling B , Megan H. Ryan C , Andrew Price A , Wayne M. Pitt A , Shane M. Hildebrand A , Christopher G. Fuller A , Daniel R. Kidd C , Adam Stefanksi B , Hans Lambers C and Richard J. Simpson B CA Department of Primary Industries, Wagga Wagga Agricultural Institute, Pine Gully Road, Wagga Wagga, NSW 2650, Australia.
B CSIRO Agriculture and Food, GPO Box 1700, Canberra, ACT 2601, Australia.
C School of Plant Biology and UWA Institute of Agriculture, The University of Western Australia, Crawley, WA 6009, Australia.
D Corresponding author. Email: graeme.sandral@dpi.nsw.gov.au
Crop and Pasture Science 69(2) 174-182 https://doi.org/10.1071/CP17276
Submitted: 31 July 2017 Accepted: 7 November 2017 Published: 25 January 2018
Abstract
The mainstream pasture legume species such as Trifolium subterraneum, T. repens and annual Medicago spp. used in the temperate pasture systems of southern Australia have high critical external requirements for phosphorus (P) (i.e. P required to achieve 90% of maximum yield). This work aimed to identify alternative pasture legume species that could be used in systems with lower P input. Shoot and root biomass of 12 species of pasture legume was measured in response to seven rates of P applied to the top 48 mm of soil in a pot experiment. Most species had maximum yields similar to T. subterraneum, but some required only one-third of the applied P to achieve this. The critical external P requirement of the species, ranked from lowest to highest, was as follows: Ornithopus compressus = O. sativus < Biserrula pelecinus < T. michelianum = T. vesiculosum = T. glanduliferum < T. hirtum = Medicago truncatula = T. purpureum = T. incarnatum < T. spumosum = T. subterraneum. An ability to maximise soil exploration through a combination of high root-length density, high specific root length and long root hairs (i.e. a large specific root-hair-cylinder volume) was associated with a low critical external P requirement. The results indicate that Ornithopus spp. could be used to achieve productive, low P-input pasture systems.
Additional keywords: arrowleaf clover, balansa clover, barrel medic, bladder clover, crimson clover, French serradella, gland clover, purple clover, rose clover, subterranean clover, yellow serradella.
References
Barrow NJ (1999) The four laws of soil chemistry: the Leeper lecture 1998. Australian Journal of Soil Research 37, 787–829.| The four laws of soil chemistry: the Leeper lecture 1998.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK1MXmsFemsrs%3D&md5=d5bd1a36234401e8f6dfe264f966d132CAS |
Bolland MDA, Paynter BH (1992) Comparative responses of annual pasture legume species to superphosphate applications in medium and high rainfall areas of Western Australia. Fertilizer Research 31, 21–33.
| Comparative responses of annual pasture legume species to superphosphate applications in medium and high rainfall areas of Western Australia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK38XitlClsrs%3D&md5=b6cec2aa1043cef21258c39740e43a3eCAS |
Butler DG, Cullis BR, Gilmour AR, Gogel BJ (2009) ASReml-R reference manual version 3. State of Queensland, Department of Primary Industries and Fisheries, Brisbane, Qld. Available at: www.vsni.co.uk/downloads/asreml/release3/asreml-R.pdf
Caradus JR (1994) Selection for improved adaptation of white clover to low phosphorus and acid soils. Euphytica 77, 243–250.
| Selection for improved adaptation of white clover to low phosphorus and acid soils.Crossref | GoogleScholarGoogle Scholar |
Caradus JR, Dunn A (2000) Adaptation to low fertility hill country in New Zealand of white clover lines selected for differences in response to phosphorus. New Zealand Journal of Agricultural Research 43, 63–69.
| Adaptation to low fertility hill country in New Zealand of white clover lines selected for differences in response to phosphorus.Crossref | GoogleScholarGoogle Scholar |
Colwell JD (1963) The estimation of the phosphorus fertiliser requirements of wheat in southern New South Wales by soil analysis. Australian Journal of Experimental Agriculture 3, 190–197.
| The estimation of the phosphorus fertiliser requirements of wheat in southern New South Wales by soil analysis.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaF2cXnvVOhsQ%3D%3D&md5=7735945ab28a1a1cf79201a6707f984fCAS |
Dear BS, Virgona JM (1996) Legumes in low-input perennial pastures of southern Australia: Historical role and future development. New Zealand Journal of Agricultural Research 39, 579–589.
| Legumes in low-input perennial pastures of southern Australia: Historical role and future development.Crossref | GoogleScholarGoogle Scholar |
Gourley CJP, Melland AR, Waller RA, Awty IM, Smith AP, Peverill KI, Hannah MC (2007) ‘Making better fertiliser decisions for grazed pastures in Australia.’ (Victorian Government Department of Primary Industries: Melbourne)
Haling RE, Yang Z, Shadwell N, Culvenor RA, Stefanski A, Ryan MH, Sandral GA, Kidd DR, Lambers H, Simpson R (2016a) Growth and root dry matter allocation by pasture legumes and a grass with contrasting external critical phosphorus requirements. Plant and Soil 407, 67–79.
| Growth and root dry matter allocation by pasture legumes and a grass with contrasting external critical phosphorus requirements.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28XhvFyns7c%3D&md5=a327e5ff0499b6dab68a411b49d0076dCAS |
Haling RE, Yang Z, Shadwell N, Culvenor RA, Stefanski A, Ryan MH, Sandral GA, Kidd DR, Lambers H, Simpson RJ (2016b) Root morphological traits that determine phosphorus-acquisition efficiency and critical external phosphorus requirement in pasture species. Functional Plant Biology 43, 815–826.
| Root morphological traits that determine phosphorus-acquisition efficiency and critical external phosphorus requirement in pasture species.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC28XhtlWjs7bM&md5=1cff9cde81216fd3fb88b110d266ea5eCAS |
Irving GCJ, Mclaughlin MJ (1990) A rapid and simple field-test for phosphorus in Olsen and Bray No 1 extracts of soil. Communications in Soil Science and Plant Analysis 21, 2245–2255.
| A rapid and simple field-test for phosphorus in Olsen and Bray No 1 extracts of soil.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK3MXisVKgs70%3D&md5=79323c108330ed54bf583561f244824fCAS |
Isbell RF (1996) ‘The Australian Soil Classification.’ (CSIRO Publishing: Melbourne)
Kidd DR, Ryan MH, Haling RE, Lambers H, Sandral GA, Yang ZJ, Culvenor RA, Cawthray GR, Stefanski A, Simpson RJ (2016) Rhizosphere carboxylates and morphological root traits in pasture legumes and grasses. Plant and Soil 402, 77–89.
| Rhizosphere carboxylates and morphological root traits in pasture legumes and grasses.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXitVSksbnF&md5=ed5d9d27275d79a7ee120a1ff572e832CAS |
Melland AR, Mc Caskill MR, White RE, Chapman DF (2008) Loss of phosphorus and nitrogen in runoff and subsurface drainage from high and low input pastures grazed by sheep in southern Australia. Australian Journal of Soil Research 46, 161–172.
| Loss of phosphorus and nitrogen in runoff and subsurface drainage from high and low input pastures grazed by sheep in southern Australia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD1cXjtlGlsLY%3D&md5=6fef44e8138a0c21db8024db5d4a8aa6CAS |
Moody PW (2007) Interpretation of a single-point P buffering index for adjusting critical levels of the Colwell soil P test. Australian Journal of Soil Research 45, 55–62.
| Interpretation of a single-point P buffering index for adjusting critical levels of the Colwell soil P test.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BD2sXhs1yqsL0%3D&md5=6fa9dc74409950bab1e0cfebd7dca5a0CAS |
Nichols PGH, Loi A, Nutt BJ, Evans PM, Craig AD, Pengelly BC, Dear BS, Lloyd DL, Revell CK, Nair RM, Ewing MA, Howieson JG, Auricht GA, Howie JH, Sandral GA, Carr SJ, de Koning CT, Hackney BF, Crocker GJ, Snowball R, Hughes EJ, Hall EJ, Foster KJ, Skinner PW, Barbetti MJ, You MP (2007) New annual and short-lived perennial pasture legumes for Australian agriculture—15 years of revolution. Field Crops Research 104, 10–23.
| New annual and short-lived perennial pasture legumes for Australian agriculture—15 years of revolution.Crossref | GoogleScholarGoogle Scholar |
Ozanne P (1980) Phosphate nutrition of plants—a general treatise. In ‘The role of phosphorus in agriculture’. (Eds FE Khasawneh, EC Sample, EJ Kamprath) pp. 559–616. (American Society of Agronomy, Crop Science Society of America, Soil Science Society of America: Madison, WI, USA)
Ozanne PG, Keay J, Biddiscombe EF (1969) Comparative applied phosphate requirements of eight annual pasture species. Australian Journal of Agricultural Research 20, 809–818.
| Comparative applied phosphate requirements of eight annual pasture species.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaE3cXmsF2ntA%3D%3D&md5=dbb200681b1e0ec961720e5f41fe5025CAS |
Patterson HD, Thompson R (1971) Recovery of inter-block information when block sizes are unequal. Biometrika 58, 545–554.
| Recovery of inter-block information when block sizes are unequal.Crossref | GoogleScholarGoogle Scholar |
R Core Team (2017) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available at: www.R-project.org/
Rasband WS (1997–2014) ‘ImageJ.’ (U.S. National Institutes of Health: Bethesda, MD, USA)
Rayment GE, Lyons D (2011) ‘Soil chemical methods—Australasia.’ (CSIRO Publishing: Melbourne)
Reuter DJ, Dyson CB, Elliott DE, Lewis DC, Rudd CL (1995) An appraisal of soil phosphorus testing data for crops and pastures in South Australia. Australian Journal of Experimental Agriculture 35, 979–995.
| An appraisal of soil phosphorus testing data for crops and pastures in South Australia.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DyaK28Xhs1yhsr4%3D&md5=a29df68c8b7f7af8b0618264b8403a71CAS |
Simpson RJ, Richardson AE, Nichols SN, Crush JR (2014) Pasture plants and soil fertility management to improve the efficiency of phosphorus fertiliser use in temperate grassland systems. Crop & Pasture Science 65, 556–575.
| Pasture plants and soil fertility management to improve the efficiency of phosphorus fertiliser use in temperate grassland systems.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2cXhtVyit7bK&md5=d966eab8cbe0bd60a5a22ed96190c477CAS |
Simpson R, Stefanski A, Marshall D, Moore A, Richardson A (2015) Management of soil phosphorus fertility determines the phosphorus budget of a temperate grazing system and is the key to improving phosphorus-balance efficiency. Agriculture, Ecosystems & Environment 212, 263–277.
| Management of soil phosphorus fertility determines the phosphorus budget of a temperate grazing system and is the key to improving phosphorus-balance efficiency.Crossref | GoogleScholarGoogle Scholar | 1:CAS:528:DC%2BC2MXht1Ogs7vM&md5=8f23fbd7725f10bbbbde6b34bc6ec25dCAS |
Wilkinson GN, Rogers CE (1973) Symbolic description of factorial models for analysis of variance. Applied Statistics 22, 392–399.
| Symbolic description of factorial models for analysis of variance.Crossref | GoogleScholarGoogle Scholar |
Yang Z, Culvenor R, Haling R, Stefanski A, Ryan M, Sandral G, Kidd D, Lambers H, Simpson R (2017) Variation in root traits associated with nutrient foraging amongst temperate pasture legumes and grasses. Grass and Forage Science 72, 93–103.
| Variation in root traits associated with nutrient foraging amongst temperate pasture legumes and grasses.Crossref | GoogleScholarGoogle Scholar |