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

Alireza Houshmandfar, Noboru Ota, Kadambot H.M. Siddique, Michael Tausz

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)277-282
Number of pages6
JournalAgricultural and Forest Meteorology
Volume275
DOIs
Publication statusPublished - 15 Sep 2019

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dryland farming
canola
yield response
crop rotation
arid lands
water supply
legumes
grain yield
agriculture
rain
rainfall
water use
boundary line
Lupinus
Lupinus angustifolius
Lens culinaris
water
lentils
Cicer arietinum
faba beans

Cite this

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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. / Houshmandfar, Alireza; Ota, Noboru; Siddique, Kadambot H.M.; Tausz, Michael.

In: Agricultural and Forest Meteorology, Vol. 275, 15.09.2019, p. 277-282.

Research output: Contribution to journalArticle

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