Evaluation of Ethiopian sorghum accessions for resistance against Colletotrichum sublineolum

Chala, Alemayehu; Tronsmo, Anne Marte

doi:10.1007/s10658-011-9861-8

Cited by 13 publications

(12 citation statements)

References 30 publications

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“…This allowed to identify and select promising genotypes for breeding. (Chala & Tronsmo, ; Cuevas et al, ; Erpelding, , ; Prom, Erpelding, Perumal, Isakeit, & Cuevas, ). Chala and Tronsmo () observed genetic variation in response to anthracnose infection among 56 sorghum accessions evaluated under natural infection in Ethiopia.…”

Section: Discussionmentioning

confidence: 99%

“…(Chala & Tronsmo, ; Cuevas et al, ; Erpelding, , ; Prom, Erpelding, Perumal, Isakeit, & Cuevas, ). Chala and Tronsmo () observed genetic variation in response to anthracnose infection among 56 sorghum accessions evaluated under natural infection in Ethiopia. A highly significant ( p < .001) genotype x season effect on anthracnose disease severity and agronomic traits implying varied genotypic performances across environments.…”

Section: Discussionmentioning

confidence: 99%

“…Disease severity for anthracnose was scored on percentage basis to calculate the area under disease progress curve (AUDPC). The percentage of total leaf area of plants damaged by anthracnose were recorded following Chala and Tronsmo (). The AUDPC was calculated for each sorghum accession based on Campbell and Madden () as follows:

AUDPC = {false\sum}_{i = 1}^{n - 1} false[(X_{i} + X_{i + 1}) false/ 2 false] false(t_{i + 1} - t_{i} false)

where, X = percent leaf area covered by anthracnose, t i = time in days of the i th assessment from the first assessment date and n = total number of assessments.…”

Section: Methodsmentioning

confidence: 99%

“…The AUDPC values were converted into relative area under disease progress curve (rAUDPC) as a ratio of the actual AUDPC of a sorghum entry to the AUDPC of a susceptible landrace (Acc#239182) across the two cropping seasons. Lines were classified into the following based on disease reaction following Chala and Tronsmo (): R = resistant (disease severity of 1%–15%); MR = moderately resistant (16%–30%); MS = moderately susceptible (31%–45%); S = susceptible (46%–60%) and HS = highly susceptible (>60%).…”

Section: Methodsmentioning

confidence: 99%

“…This requires adequate genetic variation for disease resistance and agronomic traits. Disease severity, disease incidence, lesion size and area under disease progress curve are the most common parameters used in the evaluation of sorghum lines for anthracnose resistance (Biruma, Martin, Fridborg, Okori, & Dixelius, ; Chala & Tronsmo, ). Thus far, anthracnose resistance genes such as Cg1, Cs1A, Cs2A, SbLTP1, SbZnTF1, SbCDL1, SbDEFL1 and SbCK2 have been reported with dominant or partially dominant gene action (Biruma et al, ; Perumal et al, ).…”

Section: Introductionmentioning

confidence: 99%

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Assessment of sorghum genetic resources of Ethiopia for anthracnose (Colletotrichum sublineolum Henn.) resistance and agronomic traits

Mengistu

Shimelis

Laing

et al. 2019

Journal of Phytopathology

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Sorghum anthracnose caused by Colletotrichum sublineolum Henn. is one of the key diseases limiting sorghum production and productivity. Development of anthracnose‐resistant sorghum genotypes possessing yield‐promoting agronomic traits is an important breeding goal in sorghum improvement programs. The objective of this study was to determine the responses of diverse sorghum genetic resources for anthracnose resistance and agronomic traits to identify desirable lines for breeding. A total of 366 sorghum collections and three standard checks were field evaluated during the 2016 and 2017 cropping seasons. Lines were artificially inoculated with a virulent pure isolate of the pathogen. Anthracnose disease severity was assessed to calculate the area under disease progress curve (AUDPC). Agronomic traits such as panicle length (PL), panicle width (PW), head weight (HW) and thousand grain weight (TGW) were measured. Lines showed highly significant differences (p < .001) for anthracnose severity, AUDPC and agronomic traits. Among the collections 32 lines developed levels of disease severity between 15% and 30% in both seasons. The following sorghum landraces were selected: 71708, 210903, 74222, 73955, 74685, 74670, 74656, 74183, 234112, 69412, 226057, 214852, 71420, 71484, 200126, 71557, 75120, 71547, 220014, 228179, 16212, 16173, 16133, 69088, 238388, 16168 and 71570. These landraces had a relatively low anthracnose severity possessing farmer‐preferred agronomic traits. The selected genotypes are useful genetic resources to develop anthracnose‐resistant sorghum cultivars.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

AUDPC = {false\sum}_{i = 1}^{n - 1} false[(X_{i} + X_{i + 1}) false/ 2 false] false(t_{i + 1} - t_{i} false)

where, X = percent leaf area covered by anthracnose, t i = time in days of the i th assessment from the first assessment date and n = total number of assessments.…”