2021
DOI: 10.54386/jam.v23i4.160
|View full text |Cite
|
Sign up to set email alerts
|

Forewarning of stripe rust (Puccinia striiformis) of wheat in central zone of Punjab

Abstract: Wheat crop is attacked by number of diseases some of which cause yield losses and deteriorates quality. Rust pathogens are most important pathogens of wheat which can cause considerable economic losses if uncontrolled. Stripe rust, caused by Puccinia striiformis f. sp. tritici, is an important wheat disease common in wheat growing areas experiencing cold and humid weather conditions during the crop season. Different meteorological parameters influence occurrence and development of stripe rust in northern India… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 2 publications
0
2
0
Order By: Relevance
“…The severity of rust epidemics depends on the timing of infection by the primary inoculum, plant resistance, and the climatic conditions [13]. Various disease models with different levels of complexity and data requirements have been developed worldwide to predict rust progression in wheat [10,[13][14][15][16][17]. These models are site-specific, due to the climatic variability that affects spore dispersal and deposition.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The severity of rust epidemics depends on the timing of infection by the primary inoculum, plant resistance, and the climatic conditions [13]. Various disease models with different levels of complexity and data requirements have been developed worldwide to predict rust progression in wheat [10,[13][14][15][16][17]. These models are site-specific, due to the climatic variability that affects spore dispersal and deposition.…”
Section: Discussionmentioning
confidence: 99%
“…Previous studies on the detection of P. conducted in the air of wheat-growing areas utilized volumetric collectors and non-viable identification methodologies [5,[11][12][13]. By combining the aerobiological study of rust incidence and severity data with meteorological data, models for rust forecasting have been developed in Canada, the United States, Mexico, Argentina, India, Ethiopia, and Morocco [10,[13][14][15][16][17]. Phenological studies should also be considered to define regularities in the crop's growth in relation to its environment and enable the application of disease control measures at the appropriate time [18].…”
Section: Introductionmentioning
confidence: 99%