Characterisation of chickpea cropping systems in Australia for major abiotic production constraints

Chauhan, Yashvir, Allard, Samantha, Williams, Rex, Williams, Brett, Mundree, Sagadevan, Chenu, Karine and Rachaputi, N. C. (2017) Characterisation of chickpea cropping systems in Australia for major abiotic production constraints. Field Crops Research, 204 120-134. doi:10.1016/j.fcr.2017.01.008

Author Chauhan, Yashvir
Allard, Samantha
Williams, Rex
Williams, Brett
Mundree, Sagadevan
Chenu, Karine
Rachaputi, N. C.
Title Characterisation of chickpea cropping systems in Australia for major abiotic production constraints
Journal name Field Crops Research   Check publisher's open access policy
ISSN 0378-4290
Publication date 2017-03-15
Sub-type Article (original research)
DOI 10.1016/j.fcr.2017.01.008
Open Access Status Not yet assessed
Volume 204
Start page 120
End page 134
Total pages 15
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Language eng
Subject 1102 Agronomy and Crop Science
1111 Soil Science
Abstract To develop higher yielding and better adapted chickpeas, various breeding programs currently use a limited number of multi-location trials as a surrogate for the target population of environments (TPE). These TPEs have, however, not been adequately characterised, resulting in some uncertainty about the true representativeness of these surrogate locations as selection environments. We used the Agricultural Production Systems sIMulator (APSIM) model to characterise the Northern Grains Region of Australia, which is a major TPE of chickpea, for drought and thermal regimes. The model was first evaluated for its ability to simulate phenology, dry matter and yield of three new commercially-relevant chickpea varieties including PBA Boundary, PBA HatTrick and PBA Seamer. The model was then used to simulate dynamic changes in water stress quantified through the supply demand ratio, and yield of the highest yielding genotype PBA Boundary from 1900 to 2014 at 45 locations within the region. Water stress, and maximum, minimum and mean temperature patterns were derived through cluster analysis of respective averages computed for every 100 °Cd from 900 °Cd before flowering, to 900 °Cd after flowering. The Northern Grains Region TPE was characterised by four types of water stress patterns and five types each of maximum, minimum and mean temperatures patterns. Ward's cluster analysis of the percentile ranks of simulated seasonal yield resulting from agro-climatic variability of the different locations enabled identification of eight unique agro-ecological regions within the TPE. Locations within each agro-ecological region were geographically contiguous and had highly harmonised annual variability in yield compared to locations of other agro-ecological regions. Overall, the identified agro-ecological regions were fairly homogenous with respect to drought and thermal regimes and could be treated as separate sub-TPEs. We argue that selecting locations within an agro-ecological region should assist breeding for locally adapted genotypes. In contrast, selecting locations distributed across agro-ecological regions could improve the broad adaptation of chickpea.
Keyword Agro-ecological regions
Cicer arietinum L
Crop improvement
Target population of environments
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Alliance for Agriculture and Food Innovation
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Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
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