Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 273

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Identification of QTL for drought responses in maize and their use in testing causal relationships between traits

Lebreton, C., Lazić-Jančić, V., Steed, A., Pekić, S., Quarrie, S.A.·1995·Journal of Experimental Botany

Abstract

A difficulty in identifying traits that help crop plants maintain their yield under droughted conditions is distinguishing between those traits that contribute to yield stability under drought and traits that do not affect yield. With the development of molecular markers for many crops it is now possible to identify major quantitative trait loci (QTL) regulating specific drought responses. By comparing the coincidence of such QTL for specific traits it is possible to test much more precisely than before whether a particular constitutive or adaptive response to drought stress is likely to be of significance in improving drought resistance. We have used this approach to identify QTL for ABA content and other traits likely to be important in determining drought response in maize. Eighty-four RFLP markers were mapped in an F2 population of 81 plants from a cross between parents, Polj17 (drought resistant) and F-2 (drought sensitive), that differ markedly in many constitutive and adaptive responses to drought stress. In a soil glasshouse experiment, from which water was withheld for 3 weeks after anthesis, flowering time, stomatal conductance, tissue ABA contents, leaf water relations parameters and fluorescence characteristics, root pulling force, and nodal root number were measured. The minimum number and location of genes having major effects on the traits were determined and possible causal relationships amongst them tested. Comparing the coincidence of QTL for ABA content and stomatal conductance showed that xylem ABA content was more likely to have had a regulatory effect on the stomatal conductance of those plants than the whole leaf ABA content. However, both xylem and leaf ABA contents were significantly associated with root characteristics, suggesting that the rooting behaviour (either constitutive or adaptive) was important in regulating stress responses, particularly in determining xylem ABA contents. We also found that Fm (a measure of the activity of photosynthetic reaction centres) was positively associated with chlorophyll concentration per unit area. Different methods for comparing QTL are presented and discussed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/jxb/46.7.853

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Cited by

See all 273

Metadata

Authors
Lebreton, C., Lazić-Jančić, V., Steed, A., Pekić, S., & Quarrie, S. A.
Venue
Journal of Experimental Botany
Published
1995
Volume
46
Issue
7
Pages
853-865
ISSN
  • 0022-0957 (ISSN-L)
  • 1460-2431
OpenAlex
W2150737701
Cited by
273
References
2
FWCI
4.06
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Identification of QTL for drought responses in maize and their use in testing causal relationships between traits. https://app.cochat.ai/papers/10.1093/jxb/46.7.853
The paper
Lebreton, C., Lazić-Jančić, V., Steed, A., Pekić, S., & Quarrie, S. A. (1995). Identification of QTL for drought responses in maize and their use in testing causal relationships between traits. Journal of Experimental Botany. https://doi.org/10.1093/jxb/46.7.853

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.