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Weedy rice update in Arkansas, USA, and adjacent locales

Published online by Cambridge University Press:  14 July 2021

Nilda Roma-Burgos*
Affiliation:
Professor, Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA
Thomas R. Butts
Affiliation:
Assistant Professor and Extension Weed Scientist, University of Arkansas System Division of Agriculture, Lonoke, AR, USA
Isabel S. Werle
Affiliation:
Graduate Assistant, University of Arkansas, Fayetteville, AR, USA
Sunny Bottoms
Affiliation:
District Field Representative, Horizon Ag LLC, AR, USA
Andy Mauromoustakos
Affiliation:
Professor, Department of Crop, Soil, and Environmental Sciences, University of Arkansas, Fayetteville, AR, USA
*
Author for correspondence: Nilda Roma-Burgos, Department of Crop, Soil, and Environmental Sciences, University of Arkansas, 1371 West Altheimer Drive, DTAS 280, Fayetteville, AR, USA 72704. E-mail: nburgos@uark.edu
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Abstract

Weedy rice (Oryza sativa L.) is among the most problematic weeds in rice (Oryza sativa L.) production. The commercialization of herbicide-resistant (HR) rice nearly two decades ago provided an effective tool to manage weedy rice; however, resistance evolution and volunteer HR hybrid rice kept weedy rice at the forefront of rice weed control needs. This research aimed to assess the prevalence and severity of weedy rice infestations, identify production practices that may have contributed to an increase in weedy rice, and determine control strategies that may still be effective on weedy rice across Arkansas and adjacent U.S. Midsouth locales. Two questionnaires, one for rice growers and consultants and one for County Extension agents (CEAs), were distributed through email and physical copies in 2020. Thirty-three respondents returned the rice grower (25) and consultant (8) survey, representing 26 and 7 counties in Arkansas and the Missouri Bootheel area, respectively, as well as four parishes in northeast Louisiana. Eighteen respondents returned the CEA survey. Respondents ranked weedy rice the third most problematic weed in rice, behind Echinochloa spp. and Cyperus spp. The most common infestation levels reported in 78% of fields was less than 12 m−2. Crop rotation (64% growers/consultants, 50% CEAs) and HR rice technology (27% growers/consultants, 50% CEAs) were the top two most-effective methods for weedy rice management, respectively. Tillage and crop rotation practices significantly influenced weedy rice infestation. Rice–soybean [Glycine max (L.) Merr.] rotation had the lowest weedy rice infestation compared with rice monoculture and other crop rotation practices. Crop rotation was not practiced on 26% of reported fields, primarily due to poor drainage. The imidazolinone (IMI)-resistant rice technology was still effective (>70% control) in 60% of fields, but quizalofop-resistant rice is needed to control IMI-resistant weedy rice. Overall, weedy rice remains a challenging weed in rice production.

Information

Type
Special Issue Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Weed Science Society of America
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Figure 1. Rice production areas in the U.S., with proportion produced by each state in 2019. http://prodriceold.aristotle.net/rice-information (accessed: January 10, 2021).

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Figure 2. Rice production in Arkansas, USA, and the proportion of rice hectares planted with herbicide-resistant (imidazolinone-resistant) rice varieties from the first year of commercialization in 2002 to 2019 (Hardke 2020; USDA-NASS 2020).

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Figure 3. Rice-producing counties in Arkansas, USA, and adjacent locales included in the weedy rice survey, 2020 (shaded in green). Counties shaded in gray are also reported to have some commercial rice production.

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Table 1. Rice farm size managed by grower or consultant respondents in Arkansas, USA, and adjacent locales, 2020.

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Table 2. Overview of rice-farming practices at least within the last 3 yr related to weed management in up to five fields described by the weedy rice survey respondents in Arkansas, USA, and adjacent locales, 2020.

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Table 3. Rice varieties planted by respondents in the last 3 yr, across all fields they managed, in Arkansas, USA, and adjacent locales, 2020.

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Table 4. Herbicides with activity on weedy rice used by respondents on individual rice fields in Arkansas, USA, and adjacent locales, 2020.

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Table 5. Crops planted by respondents in the last 3 yr, in rotation with rice, in Arkansas, USA, and adjacent locales, 2020.

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Table 6. Reasons for planting continuous rice or not planting other crops more frequently and reported occurrence of weedy rice across all fields the respondents managed in Arkansas, USA, and adjacent locales, 2020.

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Table 7. Perspective of rice growers and consultants on the overall level of weedy rice infestation of fields they manage in Arkansas, USA, and adjacent locales, 2020.

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Figure 4. Weedy rice infestations in individual fields in Arkansas, USA, and adjacent locales, 2020. The respondents provided information for 1 to 5 fields (106 fields total). Cluster analysis was done on data from 81 fields with weedy rice infestations; the rest did not have weedy rice. Ward’s hierarchical clustering method was performed in JMP v. 15.2.0 (SAS Institute, Cary, NC). The average weedy rice infestation per cluster is indicated in each section of the pie chart. The proportion of fields that belong to each cluster is indicated as percentage beside each section.

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Figure 5. Crop production practices that could potentially influence weedy rice infestation, weedy rice survey in Arkansas, USA, and surrounding locales, 2020. Data were analyzed using generalized regression with zero-inflated gamma distribution. The box-plot width is sized by frequency of responses. The ends of the box represent the first (Q1) and third (Q3) quartiles. The IQR (Q3 − Q1) represent an estimate of the variability of the middle 50%. The median (Q2) is “inside” or at the base of the box. Notches in the box represent the 95% confidence interval of the median. When the notches do not overlap, the medians are significantly different. The top and bottom of the diamond are 95% confidence interval of the mean. The middle of the diamond is an estimate of the population mean. When two diamonds do not overlap, the means are significantly different.

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Table 8. Historical perspective on weedy rice infestation from rice growers and consultants in Arkansas, USA, and adjacent locales, 2020.

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Table 9. Respondents’ perspectives on the utility of herbicide-resistant rice for weedy rice control.a

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Table 10. The most problematic weeds in rice according to rice grower and rice consultant respondents in Arkansas, USA, and adjacent locales, 2020.

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Table 11. Level of work experience of County Extension agent respondents, Arkansas and Missouri Bootheel, USA, 2020.

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Table 12. County Extension agents’ perspectives on the weedy rice problem in their respective counties in Arkansas and the Missouri Bootheel, USA, 2020.

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Table 13. The most effective strategies for weedy rice management in the county, based on the County Extension agents’ perspectives in Arkansas and the Missouri Bootheel, USA, 2020.

Supplementary material: File

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Tables S1-S2

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