Evidence map›Paper›PMID 39698459›Full record

ArticleFrontiers in plant science2024

Genotypic variability in cotton's transpiration response under progressive soil drying.

Katrina J Broughton, Eleanor L Bate, Corey W Cutler, Christopher N Allen, Alan J E Thompson, Warren C Conaty

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Katrina J Broughton *Commonwealth Scientific and Industrial Research Organisation, Agriculture and Food, Narrabri, NSW, Australia.
Eleanor L BateCommonwealth Scientific and Industrial Research Organisation, Agriculture and Food, Narrabri, NSW, Australia.
Corey W CutlerCommonwealth Scientific and Industrial Research Organisation, Agriculture and Food, Narrabri, NSW, Australia.
Christopher N AllenCommonwealth Scientific and Industrial Research Organisation, Agriculture and Food, Narrabri, NSW, Australia.
Alan J E ThompsonCommonwealth Scientific and Industrial Research Organisation, Agriculture and Food, Narrabri, NSW, Australia.
Warren C Conaty *Commonwealth Scientific and Industrial Research Organisation, Agriculture and Food, Narrabri, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Crop yields in food and fibre production systems throughout the world are significantly limited by soil water deficits. Identifying water conservation mechanisms within existing genotypes is pivotal in developing varieties with improved performance in water-limited conditions. The objective of this study was to screen Australian germplasm for variability in the transpiration response to progressive soil drying using a glasshouse dry-down experiment. It tests the hypothesis that water conservation traits may provide tolerance to water stress, particularly when combined with other drought stress traits. Methods: Three glasshouse experiments were conducted to identify whether there are differences in the fraction of transpirable soil water (FTSW) threshold values for transpiration decline among six cotton genotypes. We also assessed whether genotype dependent responses to progressive soil drying are evident from leaf-level physiology, by measurement of gas exchange parameters. Results: Significant variation in the FTSW threshold for transpiration decline between six genotypes was found, ranging from 0.13 to 0.29. Genotypic variation in the response to soil drying was also observed from leaf level physiology, with reductions in stomatal conductance and photosynthetic rate coinciding with when the FTSW threshold was reached. Discussion: Genotypes that limit transpiration at high FTSW can conserve water earlier in the season to maintain productivity during extended dry periods. Therefore, these genotypes may provide physiological traits that improve productivity in water-limited environments. This research is important as rainfall and water resources for irrigated agriculture are predicted to decline. The development of drought tolerant germplasm for the Australian cotton industry will be beneficial in the projected increasingly frequent limited water environments resulting from a changing climate.

Indexed as

abiotic stressdroughtfraction of transpirable soil waterphysiologywater deficit

Identifiers

PMID39698459
PMCPMC11652182

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.