Literature DB >> 30856828

Performance of Frogeye Leaf Spot-Resistant and -Susceptible Near-Isolines of Soybean.

M A R Mian1, H R Boerma1, D V Phillips2, M M Kenty3, G Shannon4, E R Shipe5, A R Soffes Blount6, D B Weaver7.   

Abstract

Frogeye leaf spot (FLS) caused by Cercospora sojina Hara is a disease of soybean (Glycine max (L.) Merr.) that causes significant seed yield losses in warm, humid environments of southeastern United States. The Rcs3 gene in soybean has been reported to condition resistance to all known races of C. sojina. The objectives of this study were to determine the effectiveness of Rcs3 in limiting seed yield loss due to FLS and to compare the seed yield of the resistant and susceptible near-isolines (NILs) in the absence of significant FLS disease. Four pairs of NILs-Colquitt/Colquitt-Rcs3, Gordon/Gordon-Rcs3, Thomas/Thomas-Rcs3, and Wright/Wright-Rcs 3-were evaluated in 23 field experiments in Alabama, Florida, Georgia, Louisiana, Mississippi, and South Carolina during 1992 to 1994. The amount of damage to susceptible soybean caused by FLS was dependent on the specific environment. All four of the Rcs3 NILs were resistant to the prevalent races of FLS in all environments. In the absence of significant FLS disease, each of the Rcs3 NILs was at least equal to the respective susceptible line in its seed yield. In the presence of FLS infestation, the susceptible lines suffered significant seed yield loss (up to 31%) compared to their Rcs3 NILs. The effect of FLS on seed yield was dependent on cumulative disease severity over the growing season. Thus, the area under disease progress curve was more useful than percent of leaf area infected at the end of the growing season (R7 stage of development) in explaining the seed yield loss due to FLS.

Entities:  

Keywords:  Davis; backcrossing

Year:  1998        PMID: 30856828     DOI: 10.1094/PDIS.1998.82.9.1017

Source DB:  PubMed          Journal:  Plant Dis        ISSN: 0191-2917            Impact factor:   4.438


  2 in total

Review 1.  Breeding for disease resistance in soybean: a global perspective.

Authors:  Feng Lin; Sushil Satish Chhapekar; Caio Canella Vieira; Marcos Paulo Da Silva; Alejandro Rojas; Dongho Lee; Nianxi Liu; Esteban Mariano Pardo; Yi-Chen Lee; Zhimin Dong; Jose Baldin Pinheiro; Leonardo Daniel Ploper; John Rupe; Pengyin Chen; Dechun Wang; Henry T Nguyen
Journal:  Theor Appl Genet       Date:  2022-07-05       Impact factor: 5.699

2.  Automated, image-based disease measurement for phenotyping resistance to soybean frogeye leaf spot.

Authors:  Samuel C McDonald; James Buck; Zenglu Li
Journal:  Plant Methods       Date:  2022-08-16       Impact factor: 5.827

  2 in total

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