Cultivar, planting date and weather linked to wheat leaf rust development
Autor: | B. Naseri, Shahryar Sasani |
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Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
0301 basic medicine biology Physiology fungi food and beverages Sowing Growing season biology.organism_classification 01 natural sciences Maturity (finance) Rust 03 medical and health sciences Horticulture Wheat leaf rust 030104 developmental biology Principal component analysis Genetics Cultivar Disease progress Agronomy and Crop Science 010606 plant biology & botany |
Zdroj: | Cereal Research Communications. 48:203-210 |
ISSN: | 1788-9170 0133-3720 |
DOI: | 10.1007/s42976-020-00035-y |
Popis: | During four growing seasons (2013–2017), 282 leaf rust progress curves were characterized across experimental plots according to a number of climate-crop-disease variables in Kermanshah province, Iran. Leaf rust severity differed significantly between levels of cultivar, planting date, sampling time and year factors. Area under disease progress curve (AUDPC) based on disease severity was ranked using Kruskal–Wallis one-way ANOVA. H-test comparison between two disease-onset levels indicated lower mean AUDPC value for late disease onset than that for early disease onset. Highest and lowest AUDPC values were obtained in spring 2016 and 2015, respectively. According to principal component analysis, three principal components accounting for 73% of data variance verified dependence of leaf rust intensity on air temperature and wetness, cultivar resistance, date of disease onset, wheat maturity, and planting date. Based on principal component regression model, disease-onset and maturity date, mean 6-monthly temperature, number of days with minimum temperatures within the range of 5–25 °C and maximum RH > 60%, resistance index, and planting date justified 74% of variability in AUDPC dataset. These findings recommend involvement of cultivar resistance, dates of wheat maturity and planting along with weather predictors in wheat-leaf-rust studies to increase prediction value of future models, durability of host resistance to disease, and sustainability of disease control methods. |
Databáze: | OpenAIRE |
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