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Crop rotation options for dryland agriculture: An assessment of grain yield response in cool-season grain legumes and canola to variation in rainfall totals

journal contribution
posted on 11.09.2019, 00:00 by A Houshmandfar, N Ota, KHM Siddique, Michael TauszMichael Tausz
Crop production in dryland systems is mainly dependent on water availability from rainfall which is highly variable between years and locations. We employed the widely used boundary-line analysis, with an existing industry dataset from across the Australian dryland cropping regions, to investigate the relative sensitivity of grain yield in canola (Brassica napus L.), chickpea (Cicer arietinum L.), faba bean (Vicia faba L.), field pea (Pisum sativum L.), lentil (Lens culinaris L.), and narrow-leafed lupin (Lupinus angustifolius L.) to variation in rainfall totals. Chickpea had the lowest non-productive water use, was more responsive to water supply, and reached its maximum yield at a lower water supply than the other species. In contrast canola had the highest non-productive water use, was less responsive to water supply, and reached its maximum yield at a higher water supply than the other species. These results suggest that chickpea offers the most stable outcome, and canola the greatest variation, in response to the variability in rainfall totals between years and locations. © 2019 Elsevier B.V.

History

Volume

275

Start Page

277

End Page

282

Number of Pages

6

eISSN

1873-2240

ISSN

0168-1923

Publisher

Elsevier, Netherlands

Peer Reviewed

Yes

Open Access

No

Acceptance Date

02/06/2019

External Author Affiliations

CSIRO; University of Western Australia

Author Research Institute

Institute for Future Farming Systems

Era Eligible

Yes

Journal

Agricultural and Forest Meteorology