Seed morphological traits associated with weedy rice escaped from imazapic+imazapyr herbicide treatment View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-08-10

AUTHORS

Amalia Qistina Zulrushdi, Nur Ardiyana Rejab, Intan Filzah Mahmod, Zulqarnain Mohamed, Muhammad Nazri Ishak, Muhamad Shakirin Mispan

ABSTRACT

The re-occurrence of weedy rice in the imidazolinone (IMI) herbicide-tolerant (HT) rice fields in Malaysia suggested that the weed has evaded the IMI herbicide application. This study aimed to evaluate the seed morphological traits as potential escape mechanisms of weedy rice in response to IMI-herbicide (imazapic+imazapyr) treatment. A total of 96 weedy rice samples collected from IMI-HT rice fields were characterized according to seed characteristics. The samples were evaluated for seed dormancy and susceptibility against IMI-herbicide using a standard germination test. Herbicide-induced germination test recorded a high germination (61.99–74.43%) despite strong initial dormancy (9.09–13.14%), indicating potential dormancy breaking by the herbicide. A total of 64.7% of weedy rice morphotypes displayed high seedlings survival (>10%) after herbicide treatment suggesting variation in potential IMI-resistance of weedy rice. Correlation analysis demonstrated the herbicide responses were associated with various seed adaptive traits, especially on pericarp colour (r = 0.3701), hull colour (r = −0.2457), seed dormancy (r = 0.4351), and shattering capability (r = −0.3110). This study demonstrated that seed morphological and physiological characteristics have a significant correlation with resistance towards IMI-herbicide. Resistant genes might be linked with these weedy traits as part of the adaptive mechanism for weedy rice through consequential conferment of the genes from HT-rice into weedy rice. More... »

PAGES

1123-1132

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12600-022-01021-2

DOI

http://dx.doi.org/10.1007/s12600-022-01021-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1150128275


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