2021
DOI: 10.5433/1679-0359.2021v42n3supl1p1435
|View full text |Cite
|
Sign up to set email alerts
|

Osmopriming, antioxidative action, and thermal stress in sunflower seeds with different vigor levels

Abstract: The osmopriming technique can reduce the period between sowing and the emergence of seedlings in the field, as well as favor seed performance under stress conditions. This study aimed to evaluate the effect of osmopriming on the physiological performance and antioxidative enzymatic activity of sunflower seeds with different vigor levels and exposed to thermal stress. Three sunflower seed lots of the cultivar Hélio 250 were used. Initially, the seeds were evaluated by germination and vigor tests to characterize… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 47 publications
0
1
0
Order By: Relevance
“…PCA has been widely used in seed research work due to its high efficiency in identifying relationships between variables . This analysis proved to be effective in studies on the adequacy of methodology for analyzing the viability of Jatropha curcas seeds by the tetrazolium test (Araújo et al, 2019), discrimination of sunflower seed lots with different deterioration levels (Morais et al, 2021), assessment of the physiological quality of wheat seeds produced under different irrigation depths and leaf silicon levels , and assessment of the effect of osmotic conditioning in sunflower seeds (Barros et al, 2021), among others. In addition, it has been adopted as a strategy in the pre-processing of data used in machine learning (Fan et al, 2020;Medeiros et al, 2020;Shi et al, 2020) and exploratory data analysis (Ribeiro et al, 2021;Wang et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…PCA has been widely used in seed research work due to its high efficiency in identifying relationships between variables . This analysis proved to be effective in studies on the adequacy of methodology for analyzing the viability of Jatropha curcas seeds by the tetrazolium test (Araújo et al, 2019), discrimination of sunflower seed lots with different deterioration levels (Morais et al, 2021), assessment of the physiological quality of wheat seeds produced under different irrigation depths and leaf silicon levels , and assessment of the effect of osmotic conditioning in sunflower seeds (Barros et al, 2021), among others. In addition, it has been adopted as a strategy in the pre-processing of data used in machine learning (Fan et al, 2020;Medeiros et al, 2020;Shi et al, 2020) and exploratory data analysis (Ribeiro et al, 2021;Wang et al, 2021).…”
Section: Introductionmentioning
confidence: 99%