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Updated: Jun 19, 2026

Inoculation Strategies to Infect Plant Roots with Soil-Borne Microorganisms

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Published on: March 1, 2022

Altered source-sink dynamics influence Verticillium wilt expression in cotton.

Xian Yu¹, Warwick Stiller², Warren Conaty³

¹Commonwealth Scientific and Industrial Research Organisation, Agriculture & Food, Narrabri, New South Wales, Australia; xian.yu@csiro.au.

|June 18, 2026

Summary

Altering cotton

Keywords:

Gossypium Verticillium dahliae Verticillium wilt boll removal disease phenotyping host plant resistance source-sink dynamics

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Published on: April 12, 2017

Area of Science:

Plant Pathology
Agronomy
Plant Physiology

Background:

Verticillium wilt (VW) is a significant threat to cotton production due to the pathogen's persistence in soil and limited control options.
Understanding factors influencing VW severity is crucial for developing effective management strategies in cotton.

Purpose of the Study:

To investigate how manipulating source-sink dynamics affects Verticillium wilt severity in cotton.
To assess the impact of reproductive demand on cotton's susceptibility to Verticillium wilt.

Main Methods:

Two cotton genotypes were grown in a field naturally infested with Verticillium dahliae.
Source-sink dynamics were altered through different boll removal treatments (none, single, repeated).
Disease severity was evaluated using leaf disk assays, visual symptoms, vascular browning, and pathogen DNA quantification.

Main Results:

Consistent reduction in reproductive sink demand significantly decreased VW severity and improved plant health.
A single boll removal treatment had minimal impact on VW severity.
The leaf disk assay was identified as a reliable and rapid method for assessing VW and treatment effects.

Conclusions:

Plant physiological status, specifically source-sink balance, plays a critical role in Verticillium wilt development in cotton.
While boll removal impacts VW, it is not a commercially viable disease management strategy.
This research provides empirical evidence linking plant physiology to field-level disease severity.