Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE (Open Access)

Forage brassicas can enhance the feed base and mitigate feed gaps across diverse environments

Lucinda J. Watt https://orcid.org/0000-0002-7388-7402 A * and Lindsay W. Bell https://orcid.org/0000-0002-5064-2947 B
+ Author Affiliations
- Author Affiliations

A CSIRO Agriculture and Food, 306 Carmody Road, St Lucia, Qld 4067, Australia.

B CSIRO Agriculture and Food, PO Box 102, Toowoomba, Qld 4350, Australia.

* Correspondence to: lucy.watt@csiro.au

Handling Editor: Brendan Cullen

Crop & Pasture Science 75, CP23333 https://doi.org/10.1071/CP23333
Submitted: 28 November 2023  Accepted: 29 February 2024  Published: 28 March 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing. This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND)

Abstract

Context

Spring-sown forage brassicas are commonly used to fill feed gaps in high-rainfall temperate livestock systems, but they have wider potential as an autumn-sown forage in drier environments within Australia’s crop–livestock zone.

Aims

We modelled the production potential of autumn-sown forage brassicas grown in diverse environments and tested their ability to alter the frequency and magnitude of feed gaps.

Methods

Long-term production potential was simulated in APSIM for four forage brassica genotypes, compared with forage wheat and dual-purpose canola across 22 diverse agro-climatic locations. For seven regions, the change in frequency and magnitude of forage deficits from adding forage brassicas to representative forage–livestock systems was predicted.

Key results

Across locations, median yields of forage brassicas ranged from 7 to 19 t DM/ha, and their annual metabolisable-energy yield was higher than that of forage wheat at most sites and nearly always exceeded dual-purpose canola. Forage brassicas performed better than forage wheat in later-sowing events (late April to early May) and maintained growth and quality later into spring. At five of the seven regions, adding 15% of farm forage area to forage brassicas reduced the frequency and magnitude of feed deficits by 35–50% and 20–40%, respectively. However, they were less beneficial where winter–spring feed gaps are uncommon.

Conclusions

We demonstrated that autumn-sown forage brassicas can be reliable and productive contributors to the feed base in drier environments and are a suitable alternative to forage cereals.

Implications

Forage brassicas can help reduce feed gaps and improve livestock production in a range of production systems spanning Australia’s crop–livestock zone.

Keywords: APSIM, autumn-sown, canola, crop-livestock zone, forage cereal, forage rape, livestock systems, raphanobrassica, simulation modelling.

References

Barry TN (2013) The feeding value of forage brassica plants for grazing ruminant livestock. Animal Feed Science and Technology 181, 15-25.
| Crossref | Google Scholar |

Bell LW, Robertson MJ, Revell DK, Lilley JM, Moore AD (2008) Approaches for assessing some attributes of feed-base systems in mixed farming enterprises. Australian Journal of Experimental Agriculture 48, 789-798.
| Crossref | Google Scholar |

Bell LW, Harrison MT, Kirkegaard JA (2015a) Dual-purpose cropping-capitalising on potential grain crop grazing to enhance mixed-farming profitability. Crop & Pasture Science 66, i-iv.
| Crossref | Google Scholar |

Bell LW, Dove H, McDonald SE, Kirkegaard JA (2015b) Integrating dual-purpose wheat and canola into high-rainfall livestock systems in south-eastern Australia. 3. An extrapolation to whole-farm grazing potential, productivity and profitability. Crop & Pasture Science 66, 390-398.
| Crossref | Google Scholar |

Bell LW, Moore AD, Thomas DT (2018) Integrating diverse forage sources reduces feed gaps on mixed crop–livestock farms. Animal 12, 1967-1980.
| Crossref | Google Scholar | PubMed |

Bell LW, Watt LJ, Stutz RS (2020) Forage brassicas have potential for wider use in drier, mixed crop–livestock farming systems across Australia. Crop & Pasture Science 71, 924-943.
| Crossref | Google Scholar |

CSIRO (2020) SoilMapp for iPad: soil information at your fingertips. Available at https://www.csiro.au/soilmapp

de Ruiter JM, Wilson D, Maley SAF, Fraser T, Scott WR, Dumbleton A, Nichol WW (2009) ‘Management practices for forage brassicas.’ (Forage Brassica Development Group)

Department of Agriculture, Water and the Environment (2020) Interim biogeographic regionalisation for Australia v. 7 (IBRA) [ESRI shapefile]. Available at https://www.environment.gov.au/fed/catalog/search/resource/details.page?uuid=%7B4A2321F0-DD57-454E-BE34-6FD4BDE64703%7D

Dove H, Kirkegaard J (2014) Using dual-purpose crops in sheep-grazing systems. Journal of the Science of Food and Agriculture 94, 1276-1283.
| Crossref | Google Scholar | PubMed |

Dove H, Kirkegaard JA, Kelman WM, Sprague SJ, McDonald SE, Graham JM (2015) Integrating dual-purpose wheat and canola into high-rainfall livestock systems in south-eastern Australia. 2. Pasture and livestock production. Crop & Pasture Science 66, 377-389.
| Crossref | Google Scholar |

Dumbleton A, Foley F, Westwood CT, Box GM (2021) The development of Pallaton Raphanobrassica for New Zealand farming systems. Journal of New Zealand Grasslands 83, 107-114.
| Crossref | Google Scholar |

Grundy MJ, Rossel RAV, Searle RD, Wilson PL, Chen C, Gregory LJ (2015) Soil and landscape grid of Australia. Soil Research 53, 835-844.
| Crossref | Google Scholar |

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 E, 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.
| Crossref | Google Scholar |

Hutchinson MF, McIntyre S, Hobbs RJ, Stein JL, Garnett S, Kinloch J (2005) Integrating a global agro-climatic classification with bioregional boundaries in Australia. Global Ecology and Biogeography 14, 197-212.
| Crossref | Google Scholar |

Jeffrey SJ, Carter JO, Moodie KB, Beswick AR (2001) Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environmental Modelling & Software 16, 309-330.
| Crossref | Google Scholar |

Lilley JM, Bell LW, Kirkegaard JA (2015) Optimising grain yield and grazing potential of crops across Australia’s high-rainfall zone: a simulation analysis. 2. Canola. Crop & Pasture Science 66, 349-364.
| Crossref | Google Scholar |

Lindsay CL, Kemp PD, Kenyon PR, Morris ST (2007) Summer lamb finishing on forage crops. In ‘Proceedings of the New Zealand Society of Animal Production’. pp. 121–125. (New Zealand Society of Animal Production)

Moore AD, Bell LW, Revell DK (2009) Feed gaps in mixed-farming systems: insights from the Grain & Graze program. Animal Production Science 49, 736-748.
| Crossref | Google Scholar |

Nie ZN, Slocombe L, Behrendt R, Raeside M, Clark S, Jacobs JL (2020) Feeding lambs proportional mixtures of lucerne (Medicago sativa) and forage brassica (Brassica napus) grown under warm and dry conditions. Animal Production Science 61, 1181-1188.
| Crossref | Google Scholar |

Pembleton KG, Rawnsley RP, Jacobs JL, Mickan FJ, O’Brien GN, Cullen BR, 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.
| Crossref | Google Scholar |

Pembleton KG, Cullen BR, Rawnsley RP, Harrison MT, Ramilan T (2016) Modelling the resilience of forage crop production to future climate change in the dairy regions of southeastern Australia using APSIM. The Journal of Agricultural Science 154, 1131-1152.
| Crossref | Google Scholar |

Unkovich, M (2010) A simple, self-adjusting rule for identifying seasonal breaks for crop models. In ‘Security from Sustainable Agriculture. Proceedings of the 15th Australian Agronomy Conference’, Lincoln, New Zealand. (Eds H Dove, R Culvenor). (Australian Society of Agronomy Inc.: Lincoln, New Zealand)

Watt LJ, Bell LW, Cocks BD, Swan AD, Stutz RS, Toovey A, De Faveri J (2021) Productivity of diverse forage brassica genotypes exceeds that of oats across multiple environments within Australia’s mixed farming zone. Crop & Pasture Science 72, 393-406.
| Crossref | Google Scholar |

Watt LJ, Bell LW, Pembleton KG (2022) A forage brassica simulation model using APSIM: model calibration and validation across multiple environments. European Journal of Agronomy 137, 126517.
| Crossref | Google Scholar |

Watt LJ, Bell LW, Herrmann NI, Hunt PW (2023) Integrating dual-purpose crops mitigates feedbase risk and facilitates improved lamb production systems across environments: a whole-farm modelling analysis. Animal Production Science 63, 782-801.
| Crossref | Google Scholar |