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Large‐scale characterization of drought pattern: a continent‐wide modelling approach applied to the Australian wheatbelt – spatial and temporal trends

Overview of attention for article published in New Phytologist, February 2013
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Title
Large‐scale characterization of drought pattern: a continent‐wide modelling approach applied to the Australian wheatbelt – spatial and temporal trends
Published in
New Phytologist, February 2013
DOI 10.1111/nph.12192
Pubmed ID
Authors

Karine Chenu, Reza Deihimfard, Scott C Chapman

Abstract

Plant response to drought is complex, so that traits adapted to a specific drought type can confer disadvantage in another drought type. Understanding which type(s) of drought to target is of prime importance for crop improvement. Modelling was used to quantify seasonal drought patterns for a check variety across the Australian wheatbelt, using 123 yr of weather data for representative locations and managements. Two other genotypes were used to simulate the impact of maturity on drought pattern. Four major environment types summarized the variability in drought pattern over time and space. Severe stress beginning before flowering was common (44% of occurrences), with (24%) or without (20%) relief during grain filling. High variability occurred from year to year, differing with geographical region. With few exceptions, all four environment types occurred in most seasons, for each location, management system and genotype. Applications of such environment characterization are proposed to assist breeding and research to focus on germplasm, traits and genes of interest for target environments. The method was applied at a continental scale to highly variable environments and could be extended to other crops, to other drought-prone regions around the world, and to quantify potential changes in drought patterns under future climates.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Netherlands 1 <1%
France 1 <1%
Spain 1 <1%
Japan 1 <1%
Unknown 172 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 41 23%
Student > Ph. D. Student 39 22%
Other 17 10%
Student > Master 15 8%
Student > Bachelor 8 5%
Other 23 13%
Unknown 34 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 45%
Environmental Science 20 11%
Earth and Planetary Sciences 10 6%
Computer Science 6 3%
Engineering 4 2%
Other 14 8%
Unknown 44 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 October 2016.
All research outputs
#15,265,264
of 22,699,621 outputs
Outputs from New Phytologist
#7,549
of 8,536 outputs
Outputs of similar age
#121,325
of 192,994 outputs
Outputs of similar age from New Phytologist
#87
of 122 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,536 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 192,994 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.