2015
DOI: 10.2135/cropsci2015.01.0056
|View full text |Cite
|
Sign up to set email alerts
|

Breeding, Genetics, and Quantitative Trait Locus Mapping for Fusarium Wilt Resistance in Cotton

Abstract: Fusarium wilt (FW), caused by the soilborne fungus Fusarium oxysporum f. sp. vasinfectum (FOV), with eight races recognized, is one of the most destructive diseases in cotton (Gossypium spp.). Employment of FW‐resistant cultivars has proven to be the most cost‐effective method to control the disease. This review provides a comprehensive synthesis of research progress in breeding, genetics, and molecular mapping of FW resistance. A focused pedigree analysis in Upland cotton (G. hirsutum L.) has identified five … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
47
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
2

Relationship

5
4

Authors

Journals

citations
Cited by 50 publications
(48 citation statements)
references
References 64 publications
0
47
0
Order By: Relevance
“…Breeding for resistant cultivars is the most cost‐effective FW management strategy. As demonstrated in China, breeding upland cotton for resistance to FOV race 7 (FOV7) since the 1950s has resulted in the development of several hundreds of FW‐resistant cultivars, which has essentially controlled FW in cotton production in the country since the mid‐1990s (Zhang, Sanogo, Ma, & Qu, ). Because the main resistance sources for FOV7 in China were direct selections from susceptible American upland cotton cultivars and FOV4 and FOV7 are highly related, the use of FOV7‐resistant Chinese cotton cultivars in breeding may result in development of new upland cotton cultivars with resistance to FOV4.…”
Section: Introductionmentioning
confidence: 99%
“…Breeding for resistant cultivars is the most cost‐effective FW management strategy. As demonstrated in China, breeding upland cotton for resistance to FOV race 7 (FOV7) since the 1950s has resulted in the development of several hundreds of FW‐resistant cultivars, which has essentially controlled FW in cotton production in the country since the mid‐1990s (Zhang, Sanogo, Ma, & Qu, ). Because the main resistance sources for FOV7 in China were direct selections from susceptible American upland cotton cultivars and FOV4 and FOV7 are highly related, the use of FOV7‐resistant Chinese cotton cultivars in breeding may result in development of new upland cotton cultivars with resistance to FOV4.…”
Section: Introductionmentioning
confidence: 99%
“…The average severity rating was converted to disease severity index by dividing it with the highest rating of 5, and disease severity index was used for ANOVA and a LSD calculation for each test. In 2018, Acala 1517‐20 was evaluated in the greenhouse for resistance to FOV4 using a foliar symptom severity on a scale of 0–5 (Sanogo & Zhang, 2016; Zhang et al., 2020a; Zhang, Sanogo, Ma, & Qu, 2015), where it was compared with other lines in four replications (10 plants in each replication) through artificial inoculation (with 10 ml of 1 × 10 6 spores ml -1 spores drenched to the soil surface). To screen for resistance to above VW, ALS and FOV4 diseases, the following scale of 0–5 was used based on the entire leaf canopy: 0 for no disease symptom, 1 for <10% infected leaf area, 2 for 10–25% infected leaf area, 3 for 25–50% infected leaf area, 4 for 50–75% infected leaf area, and 5 for >75% infected leaf area.…”
Section: Methodsmentioning
confidence: 99%
“…During past couple of decades, QTL mapping technique has been improved enormously and as a result thousands of QTLs are now available for major as well as minor crops [49]. There are many reviews already available describing in detail the application of QTL mapping in various crops [6,14,26,[50][51][52][53][54][55] but, this area is not well covered for disease resistance in G. hirsutum. In this review, we will highlight the applications of QTL mapping for resistance against major disease of cotton.…”
Section: Molecular Markers Techniques For Disease Resistancementioning
confidence: 99%