Ehsanul Haque, Most Shanaj Parvi. High doses of fungicide on sugar beet seeds are less effective to Rhizoctonia solani at greenhouse condition.. 2022. agriXiv.2022.00121
DOI:10.31220/agriRxiv.2022.00121
High doses of fungicide on sugar beet seeds are less effective to Rhizoctonia solani at greenhouse condition.
-
Abstract: Abstract Rhizoctonia solani is a soil-borne plant pathogen that has been reported to cause damping-off in early growth stages, and crown and root rot in the late growth stages in all sugar beet growing regions. Therefore, we investigated the response of two cultivars against Rhizoctonia propagules under greenhouse conditions, the seeds of two cultivars were pre-treated with different doses of Kabina and Systiva, and the seeds were sown under two different temperature regimes (65° F and 75° F). Our study demonstrated that moderate doses of Kabina (14g) and Systiva (2.5g) protected above 50% of the plants compared to untreated inoculated checks. But these rates did not show a significant increase in the number of stands than other lower doses of seed treatment. Our preliminary study further demonstrated that the high doses of both Kabina and Systiva failed to protect the plants against R. solani up to 20 weeks of post-inoculation. In summary, our data illustrated that high doses of fungicides are not always the best solution in protecting plants from Rhizoctonia solani rather increasing phytotoxicity to sugar beet seedlings.
Key words: kabina; high doses; sugar beet; plants; systiva; rhizoctonia solan提交时间:2022-01-01
版权声明:作者本人独立拥有该论文的版权,预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。 -
图表
-
Ehsanul Haque, Most Shanaj Parvi. Phytotoxicity of fungicide coated sugar beet seed depends on growth condition.. 2021. doi: 10.31220/agriRxiv.2022.00115
Eduardo Santos Rodrigues, Gabriel Sgarbiero Montanha, Marcos Henrique Feresin Gomes, Nádia Marion Duran, Camila Graziele Corrêa, Sara Luiza Zachi Romeu, Anderson do Espírito Santo Pereira, Jhones Luiz de Oliveira, Eduardo de Almeida, Alejandro Pérez‐de‐Luque, Subhasis Ghoshal, Catherine Santaella, Renata de Lima, Leonardo Fernandes Fraceto, Hudson Wallace Pereira de Carvalh. Are nanomaterials leading to more efficient agriculture? Outputs from 2009-2022 research metadata analysis.. 2021. doi: 10.31220/agriRxiv.2021.00054
Sebastián Varela, Xuying Zheng, Joyce Njuguna, Erik J. Sacks, Dylan Allen, Jeremy Ruhter, Andrew D. B. Leake. Deep convolutional neural networks exploit high spatial and temporal resolution aerial imagery to predict key traits in miscanthus.. 2022. doi: 10.31220/agriRxiv.2022.00155
Yaswant Kumar Pankaj, Rajeev Kumar, Lily Pal, Ragupati Nagarajan, Kulvinder S. Gill, Vishal Kumar, Sourav Panigrah. Performance and yield stability of doubled haploid population of wheat ( Triticum aestivum L.) under high temperature regime.. 2021. doi: 10.31220/agriRxiv.2021.00088
Maria Pía Alonso, Maria Pía Alonso, Ana Clara Pontarol. Selection for high spike fertility index in early generations increases grain number per unit area (and yield) of advanced breeding lines in bread wheat.. 2022. doi: 10.31220/agriRxiv.2022.00127
Willis Ochilo, G. Nyamasyo, J. Agan. Within-plant distribution and binomial sequential sampling plan for Tetranychus evansi (Acari: Tetranychidae) in greenhouse tomato: implications for management.. 2020. doi: 10.31220/agriRxiv.2020.00011
Rajeev Kumar, Bimlendra Kumari, Shikha Yashveer, Prashant Kaushi. Assessment of genetic diversity among poplar ( Populus deltoides Marsh.) clones from India using RAPD markers.. 2020. doi: 10.31220/agriRxiv.2020.00014
Antonia Patt, Lorenz Gygax, Edna Hillmann, Nina M. Kei. Signs of hunger in dairy calves indicate suboptimal periods in two weaning methods.. 2020. doi: 10.31220/agriRxiv.2020.00020
Ilce Gabriela Medina-Meza, Joshua VanderWeide, Cristóbal Torres-Palacios, Paolo Sabbatin. Quantitative metabolomics unveils the impact of agricultural practices in grape metabolome.. 2021. doi: 10.31220/agriRxiv.2021.00029
Santosh Kalaun. Correlation and path coefficient analysis of seed yield and yield components of French bean ( Phaseolus vulgaris L.) genotypes in sub-tropical region.. 2020. doi: 10.31220/agriRxiv.2020.00001
-
序号 提交日期 编号 操作 -
公开评论 匿名评论 仅发给作者
引用格式
访问统计
- 阅读量:47
- 下载量: 0
- 评论数:0



