Identification of Resistance Sources against Post Flowering Stalk Rot in Maize

Hooda, K. S.; Sekhar, J. C.; Bagaria, Pravin Kumar; Sharma, S. S.; Kaur, Harleen; Gogoi, Robin; Reddy, R. Ranga

doi:10.24838/ip.2017.v70.i4.76985

Cited by 8 publications

(18 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bipolaris maydis and Curvularia lunata conidial suspension was prepared by scraping all conidia from the culture plate after 10 days of incubation followed by suspension in deionized water containing 0.02% tween 20 (Himedia, Mumbai, India). The final pathogen concentration was adjusted to 1 × 10 6 conidia L −1 , as suggested in earlier reports [ 48 ]. The final spore suspension concentration (10 6 spores/mL) was inoculated on the leaves of 25-day-old maize plants using a hand atomizer until leaf run-off.…”

Section: Methodsmentioning

confidence: 99%

Multi-Gene Phylogenetic Approach for Identification and Diversity Analysis of Bipolaris maydis and Curvularia lunata Isolates Causing Foliar Blight of Zea mays

Manzar

Kashyap

Maurya

et al. 2022

JoF

View full text Add to dashboard Cite

Bipolaris species are known to be important plant pathogens that commonly cause leaf spot, root rot, and seedling blight in a wide range of hosts worldwide. In 2017, complex symptomatic cases of maydis leaf blight (caused by Bipolaris maydis) and maize leaf spot (caused by Curvularia lunata) have become increasingly significant in the main maize-growing regions of India. A total of 186 samples of maydis leaf blight and 129 maize leaf spot samples were collected, in 2017, from 20 sampling sites in the main maize-growing regions of India to explore the diversity and identity of this pathogenic causal agent. A total of 77 Bipolaris maydis isolates and 74 Curvularia lunata isolates were screened based on morphological and molecular characterization and phylogenetic analysis based on ribosomal markers—nuclear ribosomal DNA (rDNA) internal transcribed spacer (ITS) region, 28S nuclear ribosomal large subunit rRNA gene (LSU), D1/D2 domain of large-subunit (LSU) ribosomal DNA (rDNA), and protein-coding gene-glyceraldehyde-3-phosphate dehydrogenase (GAPDH). Due to a dearth of molecular data from ex-type cultures, the use of few gene regions for species resolution, and overlapping morphological features, species recognition in Bipolaris has proven difficult. The present study used the multi-gene phylogenetic approach for proper identification and diversity of geographically distributed B. maydis and C. lunata isolates in Indian settings and provides useful insight into and explanation of its quantitative findings.

show abstract

Section: Methodsmentioning

confidence: 99%

Multi-Gene Phylogenetic Approach for Identification and Diversity Analysis of Bipolaris maydis and Curvularia lunata Isolates Causing Foliar Blight of Zea mays

Manzar

Kashyap

Maurya

et al. 2022

JoF

View full text Add to dashboard Cite

show abstract

“…The three modules undertaken in this study were desinated as T1 (Organic Module), T2 (Chemical Module) and T3 (IDM module). The details were as follows T 1 -Organic module: Seed treatment with Trichoderma harzianum formulation @ 10g/kg seed + Foliar spray of Pseudomonas uorescens @10 g / l water at 45 days after sowing (DAS) and foliar spray of cow urine (20%) at 60 DAS; T 2 -Chemical module: Seed treatment with Thiram @ 3 g / kg seed + Foliar spray with Mancozeb 75 WP (2.5 g / litre water) at 45 DAS + Foliar sprays with Azoxystrobin 18.2% w/w + Difenoconazole 11.4% w/w SC @1 ml/ l water at 55 DAS; T 3 -IDM module: Seed treatment with Trichoderma harzianum formulation @10g/kg seed + Foliar spray of Pseudomonas uorescens @ 10 g / l water at 45 DAS and foliar spray of Azoxystrobin 18.2% w/w + Difenoconazole 11.4% w/w SC @ 1 ml / l water at 50 DAS and foliar spray of cow urine (20%) at 60 DAS; T 4 -Standard Control: Foliar spray with Mancozeb 75 WP @ 2.5 g / l water) at 45 and 55 DAS; T 5 -Positive control: Inoculated (No spray) Disease severity and percent disease control MLB disease data were recorded after 30-35 days of arti cial inoculation using a 1-9 rating scale (Hooda et al, 2018;Aggarwal et al, 2021) and disease severity was calculated using the following formula:…”

Section: Treatment Details Of Three Modulesmentioning

confidence: 99%

Comparative Evaluation of Chemical, Organic and Integrated Disease Management Modules for Effective Management of Maydis Leaf Blight of Maize

Aggarwal

Hooda

Kaur

et al. 2023

Preprint

Self Cite

View full text Add to dashboard Cite

Maydis leaf blight (MLB) is a prevalent disease affecting maize worldwide, caused by the necrotrophic plant pathogen Bipolaris maydis (Nisikado and Miyake). Depending on environmental conditions, MLB can lead to yield losses of up to 40% or more. To combat this disease, various chemical and biocontrol/botanical agents have been developed and proven effective. This study aimed to assess the efficacy of different combinations of disease management components as an alternative approach. The effectiveness of three modules, namely organic, chemical, and IDM, was tested in hot spot locations, namely Ludhiana, Karnal, and Delhi, during 2019 and 2020. Results indicated that the chemical module demonstrated superior disease control, achieving percentages of 54.16 and 52.92 at Ludhiana and Karnal, respectively. The IDM module also showed promising results, with disease control percentages of 45.87 and 44.69 at Ludhiana and Karnal, respectively. Conversely, the organic module exhibited the least effectiveness. Notably, at the Delhi location, the standard control (Foliar spray with Mancozeb 75 WP @ 2.5 g / l water) proved most effective, achieving a disease control percentage of 64.29, followed by the IDM module at 50.00. The chemical module exhibited the highest percent increase in yield (PIY), with figures of 86.47 and 52.92 at Ludhiana and Karnal, respectively, compared to other treatments. This study highlights the superior efficacy of the chemical and IDM modules in comparison to the positive control (check). Consequently, these modules present alternative strategies for effectively managing MLB.

show abstract

“…The disease was scored at harvest using a rating scale of 1-9 (Table 1) as recommended by Hooda et al (2018). These scores were then classified into various disease reactions based on the average disease score.…”

Section: Disease Scoring and Data Collectionmentioning

confidence: 99%

Genetic diversity and resistance assessment among maize genotypes against banded leaf and sheath blight (caused by Rhizoctonia solani f. sp. sasakii) utilizing SSR markers

Kumari,

Chauhan,

Kumar

et al. 2023

Journal of Phytopathology

View full text Add to dashboard Cite

A field investigation was carried out during the consecutive kharif seasons of 2021 and 2022 to assess the resistance response of 38 maize genotypes against banded leaf and sheath bight (BLSB). The trials were conducted at CCS Haryana Agricultural University, Regional Research Station, Karnal (India) under artificial epiphytotic conditions. Throughout both seasons, six genotypes (HKI 163, HKI 193‐2, HKI 488, IQPMH‐18‐2, HKI 194‐7 and HKI 1128) exhibited resistant reactions, one genotype (HM 8) showed susceptible reaction, whereas 19 genotypes showed moderately resistant response to BLSB. To analyse molecular aspects of BLSB resistance, genomic DNA was extracted and PCR amplification was performed using 22 SSR markers. Ten SSR markers (bnlg238, bnlg161, bnlg127, bnlg339, bnlg615, bnlg1272, phi077, phi080, phi035 and umc1275) revealed distinct banding patterns in resistant and susceptible genotypes. Among these, marker bnlg339 exhibited a band size of 120 bp across 14 genotypes, with six (HKI 163, HKI 193‐2, HQPM 5, IQPMH‐18‐2, HKI 194‐7 and HKI 1128) classified as resistant and eight (HKI 193‐1, HKI 1657, HKI 1378, HPQM 1, HKI 1659, HPQM 2, T Bio 259 ER and HKI 191‐2‐5) as moderately resistant, resembling the amplified profile of the resistant check genotype (HKI 163). Similarly, the markers phi080 and bnlg1272 exhibited differential amplified profile of approximately 150 bp and 240 bp, respectively, in 10 (five resistant and five moderately resistant) and 12 (four resistant and eight moderately resistant) maize genotypes throughout the study. The percentage of polymorphism for the SSR markers varied from 0 to 100%, with an average value of 95.45% per primer among all genotypes. The identification of resistant and moderately resistant genotypes and characterization of specific SSR markers associated with resistance offer practical tools for breeders to develop BLSB‐resistant maize varieties, ultimately enhancing crop resilience and food security.

show abstract

Identification of Resistance Sources against Post Flowering Stalk Rot in Maize

Cited by 8 publications

References 0 publications

Multi-Gene Phylogenetic Approach for Identification and Diversity Analysis of Bipolaris maydis and Curvularia lunata Isolates Causing Foliar Blight of Zea mays

Multi-Gene Phylogenetic Approach for Identification and Diversity Analysis of Bipolaris maydis and Curvularia lunata Isolates Causing Foliar Blight of Zea mays

Comparative Evaluation of Chemical, Organic and Integrated Disease Management Modules for Effective Management of Maydis Leaf Blight of Maize

Genetic diversity and resistance assessment among maize genotypes against banded leaf and sheath blight (caused by Rhizoctonia solani f. sp. sasakii) utilizing SSR markers

Contact Info

Product

Resources

About