Next Article in Journal
Airline Cabin Crew Members’ Ambidexterity as the Sustainable Attitude for Prosocial Passenger Service
Previous Article in Journal
Physics Students’ Innovation Readiness for Digital Learning within the University 4.0 Model: Essential Scientific and Pedagogical Elements That Cause the Educational Format to Evolve in the Context of Advanced Technology Trends
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Weed Management Challenges in Rice Cultivation in the Context of Pesticide Use Reduction: A Survey Approach

1
National Institute of Agrarian and Veterinary Research, 2850 Oeiras, Portugal
2
Research Centre for Natural Resources, Environment and Society (CERNAS), Agriculture School, Polytechnic Institute of Coimbra, 3045-601 Coimbra, Portugal
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(1), 244; https://doi.org/10.3390/su15010244
Submission received: 29 November 2022 / Revised: 20 December 2022 / Accepted: 20 December 2022 / Published: 23 December 2022
(This article belongs to the Section Sustainable Agriculture)

Abstract

:
Weeds are the main phytosanitary problem in rice crop. Over-reliance on herbicides and lack of crop operations range in the rice system have produced intense selection for the evolution of resistant weed populations. This study focused on rice farmers’ perceptions and attitudes towards weeds and agricultural practices for weed management. The methodology of a questionnaire was used, carried out in person with rice producers in the main rice producing regions in Portugal, complemented by three focus groups. The outcomes reveal that Echinochloa spp. is the weed of greatest concern, followed by Oryza sativa var. sylvatica. New weeds are about to emerge, mainly Leptochloa fusca ssp. fascicularis. It will be critical for performance at the innovation ecosystem level to achieve evolution in social capital. Policies that promote innovation for the performance of more ecological and sustainable practices must be settled. The problem of herbicide resistance is increasing with the reduction in the number of active substances. There is great difficulty in adopting non-chemical weed control to meet the requirements of the European Ecological Pact. The implementation of these alternatives cannot be widespread, but must be studied on a case-by-case basis and requires technical monitoring adapted to the region and to the plot.

1. Introduction

Weeds are the main phytosanitary problem in rice, causing losses close to 30% of production [1]. Rice growers essentially rely on chemical control to reduce yield loss. However, the excessive dependence on herbicides and the lack of cultural diversity in the rice cultivation system produced intense selection pressure for the evolution of resistant weed populations. The cost of herbicides is the main cost associated with the crop, 18% of the total, and weed management is the main concern of rice farmers in Portugal [1].
Weed resistance affects the main rice-producing countries of the European Union (EU): Italy, Spain, Greece, and Portugal. Portugal, with a rice area of 25,939 hectares (ha), in 2020, represents approximately 6% of the total rice area in Europe [2], distributed over three rice growing regions: the Tejo (Tagus) and Sorraia valleys (Ribatejo), the Sado river valley (Alentejo) and the Mondego valley (Beira Litoral). The cultivated area and national production of rice decreased over the past decade. Between the three-year periods 2010–2012 and 2018–2020, area decreased by 8.3% and production decreased by 16.1% [3].
The current average productivity is 5.12 tons/ha in 2020, against 5.48 t/ha in 2018 [4,5], corresponding to a reduction in relation to the 2016–2018 triennium. The area (in the three-year period) is 29 thousand ha and production is 170 thousand tons [1]. National production guarantees 60% of the needs of Portuguese consumers, with a per capita consumption of 14.9 kg per year (2019/20). This consumption is the highest in Europe, a region that is also deficient in rice [4].
Rice cultivation is both a commitment and a challenge for sustainability. The crop is grown in swamp ecosystems, wetlands, and lowlands with very saline soils, contributing to the stability of rural populations in rural areas where other crops could not thrive. In addition, it has environmental benefits, contributing to diversity in fauna and flora and playing a fundamental role in the integrated management of these particularly sensitive ecosystems. However, high water consumption and water contamination with herbicide residues, and the resulting impact on non-target organisms, constitute a high risk requiring urgent mitigation measures [6] in line with the goals established by the Farm to Fork (F2F) strategy: to reduce the use of pesticides by more than 50% by 2030. These measures could simultaneously contribute to reducing resistance, improving weed management, and reducing environmental impact, but imply greater knowledge about the biology and ecology of the most problematic weeds. After the withdrawal of traditional herbicides (molinate and propanil) from the European market [7], weed management was essentially based on acetolactate synthase (ALS) and AcetylCoenzymeA-carboxylase (ACCase) inhibitor herbicides, mainly for the control of Echinochloa spp. (watergrass). These herbicides carry a high risk of resistance expressed by the numerous cases of resistant Echinochloa spp. populations recorded worldwide [8]. National authorities have revealed growing concern about weeds in rice cultivation, considering herbicide resistance a potential threat status to the rice crop [9]. The situation could worsen if the current lack of diversity in modes of action (MoA) continues. Thus, it is critical to develop resistance risk assessment tools for the early detection of weed resistance and to implement integrated weed management strategies [10].
The assessment of resistance risk to the main weeds of rice crops was based on the parameters proposed by Moss [11], who considers the impact of biological, chemical, and agronomic factors on the selection of resistant populations. The results were analyzed by region considering three main sections: (1) problematic weeds and resistance (biological factor); (2) weed management using herbicides (chemical factor); and (3) other weed control measures (agronomic factor), as shown in Figure 1. The joint analysis of these factors allowed the assessment of risk levels for weeds and herbicides by region.
To contribute to sustainable production of rice, the research project GO +Arroz (https://www.maisarroz.com, accessed on 30 September 2022: 2017 to 2020) was implemented. The project aimed at assessing resistance risk in the main rice producing areas in Portugal, mapping confirmed cases of resistance, and assessing the impact on resistance of cultivation measures and the use of alternative modes of action. The main goal of this paper was to identify the main risk factors for herbicide resistance in rice fields and to assess the adoption level of alternatives to reduce the use of herbicides. The innovative character of this work was to study the practices and attitudes of rice producers towards weed management, herbicide use and herbicide resistance risk.

2. Materials and Methods

The research focused on rice farmers’ perceptions and attitudes towards weeds and agricultural practices related to spontaneous vegetation management. The methodology of a questionnaire survey was used, carried out in person with rice producers in the main Portuguese rice producing regions, and was accompanied by three focus group meetings to discuss the results and collect contributions. The study focused on the main Portuguese rice-growing regions: the Sorraia and Tejo valleys and Sado and Mondego river valleys (Appendix A).
The focus group follows its own methodology, with group interviews supported by communication and interaction [12]. Its essence is to gather information and produce data on a selected topic; it is a flexible method, ideal for exploring understanding and perception of an issue or theme [13]. Considering the different cultural perceptions and practices used for weed management in each region, this method added and helped to understand the results of other surveys, namely, on risks, different perceptions of risk, and solutions for herbicide resistance. Sometimes, for two discussion groups, groups that are identical in terms of demographics and their life experiences can have different thoughts on the same topic [14]. This condition is important since it allows for the clarification of some questions emerging from the survey results.
In resumé, the work follows three steps: elaboration of the questionnaire and the pre-test; interviews of the farmers; focus groups to validate and complement the survey results.

2.1. The Survey

A total of 82 rice-growers were interviewed, distributed relatively equitably among the three rice growing regions. The majority followed Integrated Crop Production (ICP), including 92% in the Baixo Mondego region, 85% in the Sorraia valley and all rice farmers in the Sado valley. There were only two organic rice producers in the Sorraia region. Most respondents had been rice producers for over 25 years. The average number of years as rice producers was 24.3 years in Mondego, 25.4 years in Sorraia and 26.5 years in Sado. Table 1 summarizes some statistical data regarding the characteristics of farms and rice farmers surveyed. Differences can be observed in the three regions in relation to the land tenure structure. In Mondego, the average surface area is 105.1 ha, with 90.1 ha of used agricultural area (Utilized Agricultural Area: UAA) and 55.6 ha of rice cultivation (61.7% of the UAA). In the Sorraia valley, the average area is 100.5 ha, with UAA of 78.7 ha and 70.9 ha of rice (90.1%). In this region, there is greater specialization in rice farming. In Sado, the property and farm areas are larger, but the rice areas per farmer are close to those in the Mondego valley. The average total surface area is 248.8 ha, with 264.5 ha of UAA and rice cultivation of 58.4 ha (22.1%). In this region, rice cultivation takes place on the banks of the river Sado on farms with extensive areas of cork oak forests, often with stone pine.

2.2. The Questionnaire

The survey was made up of three sections: (1) Background of the cropping system: agricultural holding area; agricultural plot; ownership and cultivation system, crop rotation and rice varieties. (2) Field operations: indication of the entire technical itinerary, from soil preparation for sowing to harvesting. In this part, emphasis was given to practices related to weed management and the various factors associated with the risk of resistance. Inquiries were made about main weeds, herbicide history in the last five years, and the farmer’s perception of the most challenging weeds and the efficacy of herbicides. In addition to chemical methods, other weed control measures were also recorded, namely, stale seedbed and tillage. (3) Technology and organization: associations and advice, training and agro-environmental measures, and technology innovation were surveyed. Specialists from different rice producing areas contributed to the elaboration of the survey form in the socio-economic, crop protection and crop technology domains. The development of the study brought together the scientific community providing technical services to rice producers.

2.3. Statistical Analysis

The survey was carried out by technicians from producer associations and technicians from regional agricultural services after the 2018 and 2019 rice cropping seasons in the months with lower agricultural activity, from September to February, in the three regions. Before fieldwork was carried out, the pre-testing survey was fulfilled. The results were analyzed using IBM® SPSS® Statistics software version 25.0, using non-parametric methods for the analysis of most variables. The chi-square test was used to analyze whether there were significant differences between rice-growing regions. In tests in which more than 20% of the cells in the contingency tables had less than five cases, the Monte Carlo method was used, with a confidence interval of 95%.

2.4. Focus Groups

In 2019 and 2020, three focus group meetings were held, one in each rice growing region with around 20 people per region, involving various stakeholders in the rice sector (producers, irrigation associations, researchers, technicians from producer organizations, company input suppliers). At each meeting, three groups were formed with a facilitator. The discussion focused on weed resistance to herbicides. The following topics were discussed: (1) perception of resistance in the region; (2) what strategies are being implemented and what their results are; (3) which crops are best suited for crop rotation and what to consider in a three-year economic assessment; (4) how to implement a stale seedbed; and (5) expectations regarding the results of the project GO +Arroz, within which the present study was carried out.

3. Results

3.1. Main Weeds and Weed Resistance

The survey’s results showed that about 90.2% of rice producers indicated the existence of herbicide resistance, but only 54.9% had problems with rice crop diseases and 18.5% with pests. These results confirmed that weeds are the main phytosanitary problem in rice, contributing to significant productivity losses if not controlled. Diseases and pests, on the other hand, are considered less important than weeds.

3.1.1. Main Weeds

In Portugal, the main rice weeds are Alisma plantago-aquatica L. (Alismataceae); Cyperus difformis L. (Cyperaceae); Echinochloa, crus-galli ssp. hispidula (Stapf) Koss./Vasc. (Poaceae); Echinochloa phyllopogon (Stapf) Koss./Vasc. (Poaceae); Heteranthera reniformis L. (Pontedereaceae); Leptochloa fusca ssp. fascicularis (Lam.) Gray (Poaceae); Oryza sativa L. var. sylvatica (Poaceae) [15]. In Figure 2 and Figure 3, weed species are identified by EPPO code (Appendix B). To identify the most problematic weeds, rice growers were asked to rank five weeds in order of importance. It was not always easy for farmers to correctly identify plants, as in the case of sedges, which include several species, out of which Cyperus difformis is the most consequential. However, this species in Sorraia valley (Ribatejo) was referred to by some as ‘rice field bulrush’, a common name that corresponds to another species (Schoenoplectus mucronatus (L.) Palla) that is not relevant in the region. According to the perception of rice growers, the most worrying weeds are Echinochloa spp., which are suspected of resistance. These weed species outperformed all others when farmers were asked about examples of resistant weeds in their fields. Other weeds were also mentioned, particularly O. sylvatica, A. plantago-aquatica and Heterantera spp. (Figure 2).
After analyzing the differences in the main weeds by rice crop region it was verified that there are significant differences between the regions in terms of the four degrees of importance, with significance levels equal to or less than 2% for the chi-square test and 3% using the Monte Carlo method, with a confidence interval of 95%. The Monte Carlo method was used because, in the four chi-square tests (one per degree of weed importance), more than 20% of the cells in the crossover tables had an occurrence of less than five cases. Considering the weeds that most concern farmers, as mentioned above, we only present the results for the two highest levels of importance (1st and 2nd), and the weeds for which there are statistically significant differences between rice crop regions (Table 2).
Echinochloa spp. stand out as the weeds that most concern producers in the three regions. When rice farmers were asked about the most important, these species had greater importance in Sado and Sorraia than in Mondego. In the second position is O. sylvatica, Alisma spp., Heterantera spp. and others. It should be noted that emerging weeds such as L. fascicularis appear with greater importance in rice fields in Sorraia (Ribatejo). In Mondego, O. sylvatica is the biggest concern for farmers after Echinochloa spp. Cyperaceae have begun to gain importance in the southern region of Sado river valley. This fact is confirmed not only by the perception of farmers, but also by the diversity of herbicides applied to control this group of weeds. It should be noted that several active substances such as MCPA, bentazone and halosulfuron are used in several applications on the same plot in a campaign, which raises doubts about the efficacy of these applications.

3.1.2. New Weeds

In the study, rice producers were asked to identify the emergence of new weeds in the last three years for the reference plot of each of the respondents. More than a fifth of respondents mentioned the emergence of L. fascicularis in the last three years (Figure 3).
One to two references were made to other weeds, such as Heterantera, O. sylvatica, C. difformis, E. phyllopogon and Leersia oryzoides. Leptochloa fusca ssp. fascicularis appeared recently in Portugal; it was first identified in a rice field located in Benavente, in the Sorraia valley [16]. Its introduction in Portugal and Spain in the 1990s [17,18] was often due to seed contamination at source [19]. Heteranthera spp. are weeds that are no longer new in any of the regions. The first records in Portugal date back to the late 1990s in rice fields in the Mondego valley [20]. It may be emerging with greater importance, probably because the herbicide that controlled it most effectively was Oxadiazon, which is no longer authorized on the market after 2010, due to harmful effects on the environment and risk of groundwater contamination [21]. Leersia oryzoides cannot be considered a new weed in rice fields either. It is a lively plant that tends to occur in small dikes and may have started to enter rice fields recently. In Spain, it was identified as a ‘new weed’ in rice fields in Valencia in 2013, possibly from contaminated seeds. The situation was brought under control using Clearfield® technology and glyphosate [22].
Regarding the appearance of new weeds and comparative analysis between regions, there are no significant differences, with significance levels above 0.344 (for both the chi-square test and the Monte Carlo method).

3.1.3. Perception of the Emergence of Herbicide Resistance

When evaluating the perception of herbicide resistance, it appears that almost 90% of the surveyed rice growers say that herbicides no longer control Echinochloa spp. as well as before. These results are very similar to the values obtained for the indication of the most problematic weeds, which also pointed towards Echinochloa spp (Figure 3). This fact demonstrates that the greatest concern of rice farmers is with this weed and that this issue is strongly associated with the perception of herbicide resistance (Figure 4).
Other cases of resistance were registered, such as L. fascicularis and O. sylvatica, but with secondary importance and only in very few cases. L. fascicularis, as mentioned above, was recently introduced into rice fields in the Mediterranean basin and is a difficult weed to control because, until recently, the efficacy of currently available herbicides on this species was not known. That is why it was considered resistant to herbicides. Worldwide, three cases of Leptochloa chinensis resistant to ACCAse-inhibitor herbicides (Herbicide Resistance Action Committee “HRAC”’s HRAC-1) and Leptochloa fusca ssp. fascicularis resistant to clomazone (HRAC-13) were identified. The above-mentioned cases of resistance were found in the US and in Italy, respectively [8]. In Mediterranean countries, namely Spain, there were reports of failure of efficacy in ALS and ACCAse-inhibitor herbicides when used on Leptochloa. fusca ssp. uninervia [23]. Oryza sativa var. sylvatica has always been particularly difficult to chemically control because of its similarity to cultivated rice, and therefore it is considered resistant to herbicides by the farmers. Other cultural measures such as Clearfield® technology [24] and stale seedbeds have been used successfully in Italy and in California [25].

3.2. The Use of Herbicides in Weed Management

The principles of sustainable weed management affect long-term strategy for weed management throughout the crop system (rotation) and not just during the rice crop cycle; reduction in seed production and dispersion (acting in the soil seed bank) and, finally, diversification of control measures, contributing to a reduction in the use of herbicides. However, for the rice crop, there are not many alternative methods to chemical herbicides. The lack of diversity in the MoA of herbicides caused high pressure in the selection of weeds and the occurrence of populations resistant to the main herbicides used in rice. For this reason, a more in-depth analysis of the use of herbicides was carried out concerning time of application, including herbicides for pre- and post- emergence, herbicide history (evolution in the last five years), and the farmer’s degree of satisfaction with the control of Echinochloa spp.
To avoid resistance and contribute to sustainable weed management, three parameters must be considered: prevention (implementation of cultural measures); diversity in control measures and herbicide MoA; and precocity (opportunity for intervention, phenological stage of weeds). On this last point, it is recommended to apply the labeled herbicide rate at the recommended weed sizes [10]. In rice, water management is a fundamental parameter for weed management. It not only controls the initial development of the weeds (time between the entry of water into the plot and sowing), but also determines the efficacy of herbicides (depth of the water in the plots, dry plots and submersion of weeds).

3.2.1. Pre-Emergence Herbicide Application

The use of pre-emergence residual herbicides makes it possible to effectively control some rice weeds, such as Heteranthera spp., and keep the field free of weeds during the emergence of rice, the period when the rice crop is most sensitive to competition with weeds. The herbicides used by farmers (oxadiazon and clomazone) belong to different MoA than those used in post-emergence. The survey revealed that in a universe of 82 farmers, 71 used pre-emergent herbicides (86.6% of respondents), of which 71 used oxadiazon and only four farmers used clomazone. Clomazone was only used in the Sado valley (Alentejo), associated with dry sowing in rows with buried seed. It should be noted that the survey was implemented after the 2018 campaign. Most producers were ‘Not satisfied’ or ‘Average satisfied’ with the efficacy of pre-emergence herbicides for Echinochloa spp. control (Figure 5). There are no significant differences among the three rice-growing regions, which indicates high density of weeds at the beginning of the rice cropping cycle and arises suspicious of resistance.

3.2.2. Application of Post-Emergence Herbicides

Post-emergence herbicides are the farmers’ main tool for weed control. The survey shows that profoxydim was the most widely used herbicide (53.8%) in all three regions as the main herbicide in the programs. It was possible to assess through the surveys that the use of the herbicide profoxydim, either alone or together with other herbicides such as imazamox, bispyribac–sodium or the formulated mixture penoxsulam + cyhalofop, had a prevalence of 92% in Mondego (Beira Litoral), 77% in Sorraia (Ribatejo) and 83.3% in Sado (Alentejo). Growers were even less satisfied with the efficacy of post-emergence herbicides to control Echinochloa spp. than with that of pre-emergence herbicides. More than half were “Not satisfied or dissatisfied” (Figure 6).
There are significant differences between the three regions (significance levels less than 0.1% for the chi-square and Monte Carlo tests). The differences occurred in the cases where rice farmers were satisfied or average satisfied (Table 3).
Rice growers in the Mondego valley are more satisfied with the effectiveness of post-emergence herbicides than growers in the Sado valley. Sorraia producers are the least satisfied. These results could be related to herbicide use in each region, as referenced above, and farmers’ perception of weed resistance.

3.2.3. History of Herbicide Application

Farmers were asked to indicate which herbicides had been applied in the last five years (between 2013 and 2017). In Figure 7 we can observe the evolution of herbicide use.
There are five herbicides that stand out, being mentioned by more than 50% of the growers in all regions over the five-year total. These are, in descending order of importance: profoxydim, bentazone, penoxsulam (applied alone or mixed with cyhalofop-P-butyl), MCPA and bispyribac–sodium (Figure 7). It is worth mentioning that, although imazamox is in sixth place, this herbicide presents differences between regions, as we will see below.
Comparing this set the MoA of herbicides, which is the most relevant factor for the determination of acquired resistance, we confirmed that only two MoA stand out for Echinochloa spp. control: ALS-inhibiting herbicides (penoxsulam, bispyribac–sodium, imazamox) and ACCAse inhibitors (profoxydim and cyhalofop-P-butyl). For other weeds, three different MoAs are available: Synthetic Auxin Herbicides -SAH- (MCPA and florpyrauxifen–benzyl), photosynthesis inhibitors (bentazone), and inhibitors of chlorophyll biosynthesis (oxadiazon). However, a detailed analysis by region reveals some significant differences. While the first two herbicides, profoxydim and bentazone, remain the main active substances employed with increasing importance over the last few years in all regions, the positions between third and sixth place vary from the north to the south of the country.
In Baixo Mondego (Beira Litoral) and for control of Echinochloa spp., penoxsulam is in third place, with greater importance than in the other two regions. In the same region, occupying fourth place is bispyribac–sodium and fifth is imazamox. This herbicide was essentially applied more only in the last year.
It is important to make a brief note for propanil active substance (s.a), with Exceptional Emergency Authorization-AEE [Article nº 53 under Regulation (EC) Nº 1107/2009], to deal with resistant Echinochloa spp., which, having a different MoA (C2/6), has also been a fallback herbicide. Its use in Baixo Mondego was not as high as in the Sado valley rice fields, but far exceeded that in the Tejo and Sorraia valleys, where propanil application was almost nonexistent. For the control of other weeds, MCPA and oxadiazon were preferred. In the rice fields of Tejo and Sorraia (Ribatejo) bispyribac–sodium ranks third, and the application of penoxsulam is practically residual, compared to other regions. Propanil on the other hand was only applied in one year.
In the Sado valley (Alentejo), penoxsulam also ranks third, but with much less importance than in the Baixo Mondego, being applied mainly alone followed closely by bispyribac–sodium for Echinochloa spp. control. The application of imazamox has increased over the last year and propanil shows relevant importance in Sado valley region, as already mentioned. For other weeds, the importance of MCPA is similar to that in Baixo Mondego and higher than that in Sorraia. Oxadiazon also presents a distinct distribution between regions, clearly higher in Sado rice fields, followed by the Baixo Mondego region and incipient in the Ribatejo region. This may be associated with the lower importance of Heteranthera spp. in the rice fields of the Sorraia valley [15], weeds for which this herbicide is particularly effective. By contrast, the new herbicide florpyrauxifen–benzyl was not even applied in this region, and only occasionally in the other regions, because it only entered the market in 2020 as an EEA. In previous years, it was under experimental use.
In summary, we can conclude that in all regions the increasing importance of profoxydim use over the last five years (2013–2018) in all rice regions stands out, closely followed by bentazone. This situation is probably due to the reduced effectiveness of penoxsulam-based herbicides in the control of Echinochloa spp., which led to a search by technicians and producers for alternatives. These two active substances have different modes of action. Penoxsulam inhibits the activity of AcetoLactate Synthase (ALS) (HRAC 2), a key enzyme in the biosynthesis of amino acids. Profoxydim, on the other hand, acts on fatty acid synthesis by inhibiting the activity of the enzyme Acetyl-Co-A carboxylase (ACCAse)–HRAC 1 (HRAC, 2020).

3.3. Other Weed Control Measures

Sustainable weed management involves other practices that contribute to reducing weed pressure in the early stages of the crop, when competition is most intense. These methods have already been mentioned above, and are the so-called cultural measures (rotation, stale seedbed, sowing density, varieties that are more competitive or more tolerant to the presence of weeds) and physical methods (lowering, tillage and mowing). In order to allow a structured reading of this work in agreement with the technical itinerary of rice we present, we present the results on three points: production system (production modes and rotation); physical methods associated with soil preparation for sowing; and cropping practices from sowing to harvest, including also the stale seedbed technique, the incorporation of organic matter into the soil (seed bank issue) and irrigation systems between beds.

3.3.1. Production Modes and Crop Systems

Through the results of the survey, we observe that the majority of producers used ICP (91.5% of the cases not omitted). Only two farmers produced organic rice (2.8% of the valid cases). Three producers indicated conventional production, and one stated that he had part in conventional production and part in integrated production mode. Most farmers produced rice in monocropping for at least five years (90.1% of the non-missing cases; only one case omitted). There are significant differences between the three regions (chi-square and Monte Carlo tests of 0.5%). Crop rotation was followed by seven farmers in Sado, one in Sorraia and none in Mondego. Crop rotation in the Sado valley (Alentejo, South) is associated with water limitations, which are frequent in this region, pushing producers to reduce the area devoted to rice and introduce different crops on the plots (e.g., leguminous plants such as cowpeas (Vigna onguiculata L. Walp) and chickpeas (Cicer areatinum L.)).

3.3.2. Physical Methods: Preparation of Soil for Seeding

Regarding the planning of soil for seeding, we focused on the management of straw and stubble, and the methods of tillage and leveling of the soil. The survey responses were classified into four options: incorporation of straw and stubble by harrowing (without water), incorporation of straw and stubble by harrowing (with water), burning of straw and stubble, and mixed practice of burning and incorporation of straw and stubble, along with missing cases or those who indicated none of the above practices. Most rice growers (61%) incorporate straw and stubble by harrowing or with downgrade, with a significant difference between the two practices. Even so, a quarter of the producers who answered this question use burning (Table 4).
The management of stubble and straw differs between regions. In the Mondego valley there is a preference for burning (56.3%), while in the Sado valley incorporation of straw and stubble without burning is performed almost exclusively (96.2%). The Sorraia valley is an intermediate situation. In the Sado valley (Alentejo), incorporation with water into plows and rice wheels is the main way to incorporate straw and stubble. However, in Mondego (Beira Litoral), incorporation of straw and stubble with a disc harrow on dry soil is the method applied. The incorporation of straw and stubble with water into the rice beds and wheels, known as the “lowering” operation, is an old practice that has fallen out of use since the implementation of leveling of the beds with laser technology, but this fact may have had an influence on weed emergence [26,27].
Tillage with a rotary ley allows for reducing the seed bank that develops after sowing. The cost of this operation, the time required for its execution and the risk of hindering the leveling operation are some of the factors pointed out by farmers for not performing it anymore.
Only 37.5% of respondents (not omitted) indicated that they use this tillage technique. There are significant differences between regions, particularly between Mondego and Sorraia. In the former case, there is a greater frequency of tillage with ley turning, while in the latter valley it is rarely used. (Table 5)
Laser leveling allows the water sheet covering the plot to be uniform and the inflow and outflow of water to be faster. The benefits of this operation are evident, particularly for weed management, as both operations of lowering and raising the water are needed for herbicide application and efficacy. More than 96% of producers (not omitted) use this practice. There are no differences between rice growing regions.

3.3.3. Cultural Weed Control Methods

Concerning the irrigation and drainage system between beds, we verified that the inflow and outflow of water is independent for each bed in 57.3% of the cases. In 41.5% of cases the water transits between beds, or the situation is mixed (Table 6).
There are significant differences between the three regions (chi-square and Monte Carlo method). In the Mondego region, independent inlets and outlets between beds predominate (in 80.5% of cases). In the Sado valley, there is a predominance of cases with water passing between beds (73.3% of cases). In Sorraia, it is an intermediate situation (61.5% with independent water inlets and outlets between beds). The stale seedbed is a technique that allows for drastic reductions in the pressure from O. sylvatica and Echinochloa spp.
However, there are some difficulties in its implementation, as evidenced by the survey results. Only 8.1% respondents (non-missing) say they use this crop practice. It should also be noted that some producers have difficulty in distinguishing the stale seedbed practice from the simple elimination of weeds that germinate between soil preparation operations (9.8% of respondents did not answer this question). Although we have few cases, there are no significant differences between regions. Three producers from Mondego follow stale seedbed, two from the Sado region and only one from Sorraia.
The incorporation of organic matter in the soil through fertilization is not a usual practice, as only three rice growers affirmed that they performed this practice. Sowing is still conducted mainly by tractor. Only 25.6% use an airplane for sowing. In all regions, sowing with water in the seedbed predominates (86.6%). Regarding the sowing system (Table 7), it is worth noting statistically significant differences between the three rice regions. In the Mondego Valley, sowing is performed with a tractor in flooded beds.
In Sorraia (Ribatejo), sowing is also performed with a flooded bed, but sowing by airplane predominates, although almost half of the respondents indicated sowing with a tractor. In the Sado rice fields there is greater dispersion in the ways of sowing. Dry seeding has some advantages, such as water savings; the use of herbicides with different MoA in pre-emergence, namely, pendimethalin (HRAC-15) and clomazone (HRAC-13); and the reduction of competition with aquatic weeds, due to the diversity of flora that occurs in aerobic conditions. It has, however, some difficulties in implementation, and can only be recommended in certain types of soil. In Italy the adoption of rice dry seeding is much higher than in Portugal; it covers more than 44% of rice fields, mainly because it reduces water consumption [25].
Rice farmers choose conventional varieties over Clearfield® rice varieties (tolerant to the herbicide imazamox). Imidazolinone tolerant varieties are used mainly in the Sado valley (Alentejo), where half of rice farmers use this type of seed and 40% use only this type. In the regions of Beira Litoral (Mondego) and Ribatejo (Sorraia valley), this practice is less usual. In general, rice farmers in these two regions use only non-imidazolinone-tolerant varieties or sow with both types. Farmers use this technology to control Oryza sativa var. sylvatica, a weed for which other herbicides have no selectivity because it belongs to the same species as the crop (Table 8).
The Clearfield® Production System was developed by BASF for the control of wild rice in the early 2000s. It is based on the use of herbicide-tolerant rice varieties resistant to the imidazolinone (imazamox) family, obtained by conventional breeding [24]. The greatest threat to the efficacy of Clearfield® technology is the risk of transfer of tolerance to imidazolinones (IMI) between rice varieties and Oryza sativa var. sylvatica. This situation can occur by three routes: (a) selection of spontaneous mutations conferring IMI resistance, (b) cross-pollination between the Clearfield® variety and wild rice, and (c) contamination of Clearfield® seed lots [28].
In some rice production areas, there are already known cases of O. sylvatica resistant to imazamox selected by gene flow from the crop to the weed [8]. The first was recorded in Arkansas in 2002 [29], and more recently also in Italy and Greece [30]. They are being selected because of misuse of the technology, including seven consecutive years of imazamox-tolerant varieties in the same field. In Italy, 60% of the rice area uses Clearfield® technology [25]. In regions where Clearfield® technology imazamox-tolerant rice varieties predominate, the herbicide provides effective control of O. sylvatica. However, best practice recommends not using these varieties more than a given number of years consecutively. It is advised to reduce O. sylvatica seed in the meantime.
It should be noted that in the Mondego region, where this technology is little used, wild rice species are the first and second most troublesome weeds, followed by A. plantago-aquatica and Heteranthera spp. in third and fourth place, respectively. The survey revealed that 13 varieties of rice were grown, with significant differences among the three rice-growing regions, both in the main varieties sown and in variety diversity (Table 9). These results of our survey reflect Portuguese preferences for japonica type varieties due to traditional gastronomic dishes.
In the Mondego valley, the Ariete variety strongly predominates, highlighting the small number of varieties grown. In the Sorraia and Sado regions there is a greater diversity of varieties, without much predominance of any specific variety. However, the Teti, Sirio and Guadiagran varieties stand out in Sado (Alentejo), and the Greenfield and Presto varieties in Sorraia (Ribatejo). In Mondego most farmers are in integrated production and are beneficiaries of agro-environmental measures. To access this support, they need to use certified seeds of rice (Oryza sativa) of the Carolino variety, japonica type.

3.4. Resistance Risk Assessment

In this work, we evaluated the risk of resistance based on the number of different types of herbicides applied annually and an analysis of the MoA of the different herbicides. There is greater diversity in the type of herbicides applied in the Alentejo and Ribatejo regions than in the Beira Litoral region. In the Sado valley the diversity is almost double that of the Mondego region, either in terms of the number of different herbicides applied annually, or in terms of the number of different MoA over the five-year period. ANOVA proves the existence of statistically significant differences between regions, with a significance level of less than 0.001 (Table 10).
In addition to these two indicators, the number of cases in which farmers applied ALS-inhibitor herbicides was also determined. Almost all rice growers apply some type of herbicide that presents this mode of action, with no significant differences between regions. There were only 11 cases (out of 68 valid responses) in which no herbicide with this MoA was applied: six cases in Mondego, one in Sado and four in the Sorraia valley. These results suggest a high risk of resistance, since we are dealing with systems with intensive use of herbicides.
The maintenance of paddy rice crops in the same monoculture fields favors the predominance of highly competitive weeds adapted to anaerobic conditions, such as Echinochloa spp. It is noteworthy that weed management brings with it an almost exclusive reliance on chemical methods with no selection of other alternative methods, either cultural or physical. This scenario is reinforced by the repeated applications of herbicides with the same mode of action, where not only one ALS herbicide but rather two or three are applied in the same year consecutively over five years, contributing to a high cross-section pressure for resistance.
Considering the results of this risk assessment, it is important to compare these with the trends expressed by the rice producers surveyed within the field assessment, which indicated the following dissemination of resistance to penoxsulam in several Echinochloa spp. (Echinochloa phyllopogon and Echinochloa. crus-galli subsp. hispidula) populations: 90% in Baixo Mondego (Beira Litoral), 50% in Sado valley rice fields (Alentejo) and 25% in the Tejo and Sorraia valleys (Ribatejo) [31].
These results explain the different use of penoxsulam in the three regions, as mentioned above: greater use in the Baixo Mondego region, followed by the Sado and finally the Tejo (Tagus) valley rice fields. The confirmed lack of efficacy of penoxsulam (HRAC-2) may justify the growing trend towards applying profoxydim (HRAC-1) in all regions as an alternative demand by technicians and producers, as it is an active substance with a different mode of action. As in other countries, in general, little has been done to prevent the evolution of resistance. Once resistance evolves, Echinochloa populations are mostly managed by switching to herbicides with different modes of action and, in some cases, by applying different agronomic practices [32,33].
Regional comparison indicates a greater concern with Echinochloa spp. in the Sado and Sorraia regions relative to the Mondego region. However, Echinochloa spp. are the weeds that cause the most concern to rice farmers. Sado (Alentejo) and Sorraia (Ribatejo) producers seek greater efficacy by using a broader mixture of herbicides, and this option is expressed in the results of the focus groups.
In the project GO +Arroz that supports this study, resistance to penoxsulam was confirmed in Echinochloa spp. populations based on a field survey on three regions with dose–response bioassays.

3.5. Adopting New Practices for Herbicide Application

For the adoption of new practices in herbicide application, the results of the surveys and focus groups revealed that information received by farmers on changing the mode of application is scarce. Only two farmers stated that they receive information from an advisory system, even though the overwhelming majority (92.7%) indicated that they receive support from some entity. There may be some bias here due to the sampling method.
Farmers in the Mondego valley receive support mainly from a cooperative, while in the Sorraia and Sado regions, they are integrated into a producers’ organization that provides them with technical support. Six cases reported receiving support from a private company. It is noteworthy that more than a quarter of rice growers (27.5%) stated that they changed their herbicide application scheme from the previous year, with no statistically significant differences between rice producing regions. The changes were various, ranging from the type of herbicide, date of application and volume, to the rice variety and type of weeding.

3.6. Results of the Focus Groups

The conclusions of the three meetings organized based on the five questions posed to the participants are summarized below (Table 11). The Mondego region focus group met on 11 December 2019, the Ribatejo focus group met on 29 January 2020, and the Sado region focus group met on 6 February of the same year.
It should be noted that weed resistance was mentioned in all regions, with Echinochloa spp. identified in all regions as the main concern, as revealed in the results of the survey of rice growers. Decreased efficacy of herbicides against weeds was mentioned in all regions, with the question being whether the cause is acquired herbicide resistance or a failure in herbicide efficacy due to unfavorable conditions at the time of application. The relationship between resistance, efficacy, and poor herbicide diversity was discussed. As for the strategies that different regions apply or could apply, focus groups in each region presented different proposals and perspectives, with no consensus within the focus groups in each region and between regions. However, all agreed upon the need for better knowledge of herbicide use (time of application, MoA) and the different types of cultural techniques, namely, tillage and dry sowing, as common factors to mitigate the risk of resistance.
Crop rotation was considered by all focus groups and in all regions to be a means of controlling weeds. However, at the same time, it was considered to be a difficult, if not impossible, technique to implement from both economic and technical points of view due to the characteristics of the soil in which rice is grown, as well as the cultivation and disposal of alternative crops. The following were identified as possible crops for rotation: corn (Zea mays L.), chickpeas (Cicer arienatum L.), sorghum (Sorghum bicolor L.) and peas (Pisum sativum L.). Stale seedbed is recognized as a good technical option for reducing problematic weeds, such as O. sylvatica and Echinochloa spp. Stale seedbed was found to be difficult to implement due to water scarcity in certain regions and the delayed sowing that such a procedure involves. The groups emphasized that they would like the GO + Arroz (Operational Group +Rice) project to develop decision support tools, such as technical manuals and agricultural extension programs in the sector with technical and scientific dissemination concerning weeds. The intersection between rice stakeholders and those responsible for agricultural policies for the sector, taking into consideration the increasing present-day weed problem, was also pointed out.

4. Discussion

Weed problems are the main concern expressed by farmers in a survey of rice farmers in Mondego, and herbicide costs are the main production cost, accounting for about 18% of total production costs [1]. The results of the present study indicate that Echinochloa spp. is the weed of most concern, followed by Oryza sativa var. sylvatica. It is noteworthy that new weeds of concern are beginning to emerge, especially Leptochloa fusca ssp. fascularis.
The main means presently used for weed control is through chemicals, despite the high costs, and there is a low degree of satisfaction with the efficacy of herbicides. Rice growers recognize added difficulties associated with their use due to the emergence of resistance, but also raise doubts about the loss of efficacy due to incorrect application, the choice of active substance, and the date and technical form of application. Water management in rice weed control also plays a major role.
Rice producers seek to adjust by adopting new products and using herbicide mixtures, with more than a quarter of respondents expressing that they have changed the previous year’s herbicide application scheme, having used on average three different MoA over the five-year period. However, on average, they apply less than two different herbicides per year, and nearly all apply ALS inhibitor herbicides. Regarding crop management practices, rice producers recognize their importance, particularly to mitigate the lower efficacy of herbicides, but the results show very low adherence to crop management practices. However, the Clearfield® technology was applied by 42% of farmers. This technology has proved to be an innovation and is associated with tolerance of rice varieties to imidazolinones (especially important for O. sylvatica control), but it is pesticide-using technology.
The survey results confirmed the low adoption of alternative physical and cultural measures, and the main reasons for this were exposed in the focus groups, namely in the cases of rotation and stale seedbed. These restrictions are especially related to climate and soil conditions: strong constraints on cultivating other crops due to saline and heavy soils, and the stale seedbed option is difficult to implement due to the climatic conditions for sowing and harvesting dates. Other constraints related to crop rotation are the learning process for cultivating a new crop (namely, regarding access to production factors and knowledge of production practices), the viability of crop, and the difficulties associated with the commercialization of new production (lack of commercial contacts, low market power, or low productivity of these rotation crops).

5. Conclusions

The results of the study lead to a conclusion of the existence of increased weed resistance to herbicides and problematic weed management in rice crops. Despite the increase in the phenomenon of resistance to herbicides, rice growers are looking for solutions within the framework of the use of herbicides without a predisposition to adopt other methods of control, such as stale seedbed and crop rotation. Rice growers’ attitudes and practices are conditioned based on soil, climate, and economic factors, as well as technical competence.
The implementation of these alternative control methods cannot be generalized but must be considered on a case-by-case basis [10,34,35,36,37], and requires technical monitoring adapted to the region and to the plot (depending on the soil type, size and location of the bed, degree of infestation, and weeds present). These local specificities of the ecosystem, the farmers’ lack of knowledge, and the complexity of the learning process for new crops or techniques make non-chemical alternatives very risky for farmers. Despite the costs and the risks of herbicide resistance, they are still following the path of pesticide use.
It will be crucial to act at the innovation ecosystem level, from the emergence of scientific and technical knowledge applicable to new solutions, to the evolution of social capital that can promote skills and relationships between economic agents, and to political measures that support and encourage innovation and the implementation of more ecological and sustainable practices. The problem of herbicide resistance is growing and may deteriorate with the reduction in the number of active substances, available MoA and even the use of Clearfield® technology. There is difficulty in adopting non-chemical weed control practices when we need to move in the opposite direction to reduce the high costs of herbicides and meet the requirements of the European Ecological Pact, particularly regarding reducing the use of herbicides.

Author Contributions

Conceptualization, I.C. and P.R.; methodology, I.C. and P.R.; validation, I.C., P.R. and M.d.F.O.; formal analysis and data curation, Isabel Calha, P.R. and M.d.F.O.; investigation, I.C. and P.R.; resources, I.C., P.R. and M.d.F.O. writing—original draft preparation and review and editing, I.C., P.R. and M.d.F.O.; visualization and supervision, I.C., P.R. and M.d.F.O.; project administration, I.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the study financed by the project Operational Group +ARROZ, PDR2020 program, grant number: PDR2020-101-031998.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors would like to thank Gonçalo Canha, (Lusosem), for support with sectorial organizations; Teresa Pereira, Rodrigo Capela and Jorge Zambujo (Aparroz), Joaquim Cabeça and Teresa Ribeiro (Benagro), João Alegria (Orivárzea), Patricia Lopes (Portarroz) and Tiago Salgado, for their valuable collaboration in the implementation of the survey to rice growers. We would like to thank António Jordão (DRAP Centro), Ana Paula Nunes (COTHN) and Teresa Pereira (Aparroz) for their collaboration in organizing the focus groups and compiling the conclusions. The authors wish to thank Ana Bela Lopes (Agriculture School, Polytechnic Institute of Coimbra, CERNAS), for her improvement of the manuscript’s English. A special thank you to the 82 producers who made possible the survey.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Figure A1. Rice regions in Portugal. Source: ARROZ A P O R I Z A [38].
Figure A1. Rice regions in Portugal. Source: ARROZ A P O R I Z A [38].
Sustainability 15 00244 g0a1

Appendix B

Table A1. Scientific Name and EPPO/OEPP Code of rice weeds.
Table A1. Scientific Name and EPPO/OEPP Code of rice weeds.
Scientific NameEPPO/OEPP Code
Echinochloa spp.ECHSS
Oryza sativa L. var. sylvaticaORYSY
Alisma plantago-aquatica L.ALSPA
Heteranthera spp.HERSS
Leptochloa fusca ssp. fascicularis (Lam.) GrayLEFFA
Cyperus rotundus L.CYPRO
Cyperus esculentus L.CYPES
Cyperus difformis LCYPDI
Schoenoplectus mucronatus (L.) PallaSCPMU
Paspalum paspalodes (Michx.) Schribn.PASDS
Cynodon dactylon (L.) Pers.CYNDA
Leersia oryzoides (L.) SwartzLEROR
Glyceria declinata Breb.GLYDE
Echinochloa phyllopogon (Stapf) Koss./Vasc.ECHPH

References

  1. Oliveira, M.D.; Oliveira, S.; Russo, A.T.; Bahcevandziev, K.; Lopes, A.B.; Jordão, A.J.; Gonçalves, J.M.; Nunes, M.; Reis, P.A. Sustainability of Rice Production at Baixo Mondego, Portugal: Drivers, Risks, and System Improvements. In Impacts of Climate Change and Economic and Health Crises on the Agriculture and Food Sectors; Martinho, V., Ed.; IGI Global: Hershey, PA, USA, 2022; pp. 266–287. [Google Scholar] [CrossRef]
  2. EC 2022, Rice Production, Directorate-General for Agriculture and Rural Development. Available online: https://agridata.ec.europa.eu/extensions/DashboardRice/RiceProduction.html (accessed on 6 June 2022).
  3. GPP. Informação Sobre Produtos: Dados Estatísticos. 2021. Available online: www.gpp.pt/index.php/produtos/produtos (accessed on 5 November 2022).
  4. INE. Estatísticas Agrícolas 2021. Instituto Nacional de Estatística. 2021. ISBN 978-989-25-0572-5. Available online: https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_publicacoes&PUBLICACOESpub_boui=437147278&PUBLICACOEStema=55505&PUBLICACOESmodo=2 (accessed on 1 October 2022).
  5. INE. Estatísticas Agrícolas 2018. Instituto Nacional de Estatística. 2019. ISBN 978-989-25-0495-7. Available online: https://www.ine.pt/xportal (accessed on 1 October 2022).
  6. Mehdizadeh, M.; Mushtaq, W.; Anusha Siddiqui, S.; Ayadi, S.; Kaur, P.; Yeboah, S.; Mazraedoost, S.; AL-Taey, D.K.A.; Tampubolon, K. Herbicide Residues in Agroecosystems: Fate, Detection, and Effect on Non-Target Plants. Rev. Agric. Sci. 2021, 9, 157–167. [Google Scholar] [CrossRef] [PubMed]
  7. EEC Council Directive 91/414/EEC of 15 July 1991 Concerning the Placing of Plant Protection Products on the Market, 1991. No L 230. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ:L:1991:230:TOC (accessed on 20 January 2022).
  8. Heap, I. International Survey of Herbicide-Resistant Weeds. 2022. Available online: http://www.weedscience.org (accessed on 1 October 2022).
  9. COTARROZ. Agenda de Investigação e Inovação Para a Cultura do Arroz. 2021. Available online: https://www.cotarroz.pt/wp-content/uploads/2021/08/agenda-de-inovacao-cotarroz.pdf (accessed on 3 November 2022).
  10. Norsworthy, J.; Ward, S.; Shaw, D.; Llewellyn, R.; Nichols, R.; Webster, T.; Bradley, K.; Frisvold, G.; Powles, S.; Burgos, N.; et al. Reducing the risk of herbicide resistance: Best management practices and recommendations. Weed Sci. 2012, 60, 31–62. [Google Scholar] [CrossRef] [Green Version]
  11. Moss, S.; Ulber, L.; den Hoed, I. A herbicide resistance risk matrix. Crop Prot. 2019, 115, 13–19. [Google Scholar] [CrossRef]
  12. Kitzinger, J. Focus groups with users and providers of health care. In Qualitative Research in Healthcare, 2nd ed.; Pope, C., Mays, N., Eds.; BMJ Books: London, UK, 2000. [Google Scholar]
  13. Wilkinson, S. Focus groups in health research: Exploring the meanings of health and illness. J. Health Psychol. 1998, 3, 329–348. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Mishra, L. Focus Group Discussion in Qualitative Research. TechnoLearn 2016, 6, 1–5. [Google Scholar] [CrossRef]
  15. Vasconcelos, T.; Monteiro, A.; Lima, A.; Forte, P. Infestantes de Arrozais de Portugal, 1st ed.; ISA Press: Lisbon, Portugal, 2020; p. 164. [Google Scholar]
  16. Santos, J. Novas Infestantes da Cultura do Arroz e Sensibilidade aos Herbicidas. Master’s Thesis, ISA, UL, Lisbon, Portugal, 2021. [Google Scholar]
  17. Osca, J. Expansion of Leptochloa fusca ssp. uninervia and Leptochloa fusca ssp. fascicularis in rice fields in Valencia, eastern Spain. Weed Res. 2013, 53, 479–488. [Google Scholar]
  18. Recasens, J.; Conesa, J.; Juárez-Escario, A. Las invasiones vegetales en sistemas agrícolas. Retrospectiva de los últimos 40 años en Cataluña. Inf. Tec. Econ. Agrar. 2020, 3, 190–211. [Google Scholar] [CrossRef]
  19. Macías, A.; Esteban, M.; Pardo, F. Aproximación al conocimiento de la flora neófita en la cuenca del Guadiana Internacional a su paso por Extremadura (España) Alentejo (Portugal). Folia Bot. Extrem. 2011, 5, 5–20. [Google Scholar]
  20. PAMAF 1017. Project Report “Resistance acquired by rice weeds to herbicides”, financed by PAMAF-IED, (1998/2000). Unpublished.
  21. EFSA. Conclusion on Pesticide Peer Review. EFSA J. 2010, 8, 1389. [Google Scholar]
  22. Osca, J.; Segui, J. El problema de Leersia oryzoides en los arrozales valencianos. In Proceedings of the Actas Congreso 2015 de la SEMh, Seville, Spain, 19–23 October 2015. [Google Scholar]
  23. Amaro, P. Resistencia de Malas Hierbas a Herbicidas en el Cultivo del Arroz y en Cultivos Leñosos: Estudios de Mecanismos de Resistencia. Ph.D. Thesis, Food Sciencies, Universidad de Estremadura, Badajoz, Spain, 2020; p. 285. [Google Scholar]
  24. Tan, S.; Evans, R.; Dahmer, M.; Singh, B.; Shaner, D. Imidazolinone-tolerant crops: History, current status and future. Pest Manag. Sci. Mar. 2005, 61, 246–257. [Google Scholar] [CrossRef] [PubMed]
  25. Ferrero, A.; Fogliatto, S.; Barberi, A.; Vidotto, F. Relationship between weedy rice (Oryza sativa) infestation level and agronomic practices in Italian rice farms. Weed Sci. 2021, 69, 565–574. [Google Scholar] [CrossRef]
  26. Luzes, D. Nivelamento do Solo e Sementeira na Cultura do Arroz. Master’s Thesis, ISA, UTL, Lisbon, Portugal, 1990. [Google Scholar]
  27. Fogliatto, S.; Milan, M.; Vidotto, F. Weed distribution in the Italian rice area in relation to agronomic practices and soil characteristics. In Proceedings of the 19th EWRS Symposium 2022 “Lighting the Future of Weed Science”, Athens, Greece, 20–23 June 2022. [Google Scholar]
  28. Scarabel, L.; Cenghialta, C.; Manuello, D.; Sattin, M. Monitoring and Management of Imidazolinone-Resistant Red Rice (Oryza sativa L., var. sylvatica) in Clearfield® Italian Paddy Rice. Agronomy 2012, 2, 371–383. [Google Scholar] [CrossRef]
  29. Rajguru, S.; Burgos, N.; Shivrain, V.; Steward, J. Mutations in the red rice ALS gene associated with resistance to imazethapyr. Weed Sci. 2005, 53, 567–577. [Google Scholar] [CrossRef]
  30. Kaloumenos, N.; Capote, N.; Aguado, A.; Eleftherohorinos, I. Red rice (Oryza sativa) cross-resistance to imidazolinone herbicides used in resistant rice cultivars grown in northern Greece. Pestic. Biochem. Physiol. 2013, 105, 177–183. [Google Scholar] [CrossRef]
  31. Calha, I. Situación Actual de las Resistencias en el Cultivo de Arroz en Portugal. Jornada Técnica “Malas Hierbas Resistentes en Arroz. El Momento de Actuar es Ahora”; Sociedad Española de Malherbología e pelo Instituto de Ciencias Agrarias (CSIC): Madrid, Spain, 2016; Available online: http://cicytex.juntaex.es/en/eventos/211/jornada-tecnica-malas-hierbas-resistentes-en-arroz-el-momento-de-actuar-es-ahora-madrid (accessed on 1 October 2022).
  32. Harker, K.; O’Donovan, J.; Blackshaw, R.; Beckie, H.; Mallory, C.; Maxwell, B. My view. Weed Sci. 2012, 60, 143–144. [Google Scholar] [CrossRef] [Green Version]
  33. Harker, K.; O’Donovan, J. Recent Weed Control, Weed Management, and Integrated Weed Management. Weed Technol. 2013, 27, 1–11. [Google Scholar] [CrossRef]
  34. Espig, M.; Dynesa, R.A.; Henwooda, R.J.T.; James, T.K. The Drivers of Herbicide Use among Arable Farmers in Canterbury, New Zealand: Toward an Integrated Approach. Soc. Nat. Resour. 2022, 35, 281–300. [Google Scholar] [CrossRef]
  35. Mascanzoni, E.; Perego, A.; Marchi, N.; Scarabel, L.; Panozzo, S.; Ferrero, A.; Acutis, M.; Sattin, M. Epidemiology and agronomic predictors of resistance in rice at a large scale. Agron. Sustain. Dev. 2018, 3, 38–68. [Google Scholar] [CrossRef] [Green Version]
  36. Schroeder, J.; Barrett, M.; Shaw, D.; Asmus, A.; Coble, H.; Ervin, D.; Jussaume, R.; Owen, M.; Burke, I.; Creech, C.; et al. Managing Wicked Herbicide-Resistance: Lessons from the Field. Weed Technol. 2018, 32, 475–488. [Google Scholar] [CrossRef] [Green Version]
  37. Schroeder, J.; Barrett, M.; Shaw, D.R.; Asmus, A.B.; Coble, H.; Ervin, D.; Jussaume, R.A.; Owen, M.D.K.; Burke, I.; Creech, C.F.; et al. Managing Herbicide Resistance: Listening to the Perspective of Practitioners: Procedures for Conducting Listening Sessions and an Evaluation of the Process. Weed Technol. 2018, 32, 489–497. [Google Scholar] [CrossRef]
  38. ARROZ A P O R I Z A. Available online: https://www.gpp.pt/images/MaisGPP/Intervencoes/Arroz__APORIZA.pdf (accessed on 15 December 2022).
Figure 1. Components associated with each of the main resistance factors [11].
Figure 1. Components associated with each of the main resistance factors [11].
Sustainability 15 00244 g001
Figure 2. Rice growers’ perception of the importance (1st to 4th) of weeds in rice fields. Note: EPPO/Code: Appendix B. In the Cyperaceae, the farmers did not identify which species, but only indicated the family, which includes the following species: Cyperus rotundus, C. difformis; S. mucronatus; C. esculentus.
Figure 2. Rice growers’ perception of the importance (1st to 4th) of weeds in rice fields. Note: EPPO/Code: Appendix B. In the Cyperaceae, the farmers did not identify which species, but only indicated the family, which includes the following species: Cyperus rotundus, C. difformis; S. mucronatus; C. esculentus.
Sustainability 15 00244 g002
Figure 3. Rice farmers’ perception of the emergence of new weeds in rice fields.
Figure 3. Rice farmers’ perception of the emergence of new weeds in rice fields.
Sustainability 15 00244 g003
Figure 4. Rice growers’ perception of the emergence of resistance among weeds in rice fields.
Figure 4. Rice growers’ perception of the emergence of resistance among weeds in rice fields.
Sustainability 15 00244 g004
Figure 5. Degree of satisfaction with pre-emergence herbicides with respect to Echinochloa spp.
Figure 5. Degree of satisfaction with pre-emergence herbicides with respect to Echinochloa spp.
Sustainability 15 00244 g005
Figure 6. Degree of satisfaction with post-emergence herbicide with respect to Echinochloa spp.
Figure 6. Degree of satisfaction with post-emergence herbicide with respect to Echinochloa spp.
Sustainability 15 00244 g006
Figure 7. Herbicide use in rice fields (2013–2017).
Figure 7. Herbicide use in rice fields (2013–2017).
Sustainability 15 00244 g007
Table 1. Survey characteristics.
Table 1. Survey characteristics.
RegionStatisticUAA (ha)Total Area of Rice (ha)Rice Agricultural Plot (ha)Years as Rice Producer% of Rice Area in UAA
MondegoAverage90.155.611.524.362
Sum2343.51444.4299.7 62
SadoAverage264.558.416.726.522
Sum7671.51693.6500.3 22
SorraiaAverage78.770.935.825.490
Sum2464.91843.9896.0 75
Total12,479.94981.91696.0 40
Table 2. Comparative analysis of the main weeds by rice growing region.
Table 2. Comparative analysis of the main weeds by rice growing region.
Most Important WeedSecond-Most Important Weed
MondegoSadoSorraiaTotalMondegoSadoSorraiaTotal
Echinochloa spp.Score1927257174011
Adjusted residues−2.40.7+1.7 +2.4+0.1−2.5
Oryza sativa var. sylvatica Score71081410731
Adjusted residues+3.6−1.5−2.0 +1.9−0,4−1.5
Alisma spp.Score 4048
Adjusted residues +1.1−2.2+1.1
Leptochloa fusca ssp. fascicularisScore 0178
Adjusted residues −2.1−1.4+3.5
Schoenoplectus mucronatusScore 0156
Adjusted residues −1.8−1.0+2.8
Table 3. Comparative analysis of satisfaction levels with post-emergence herbicides in Echinochloa spp. controlled by rice-growing region.
Table 3. Comparative analysis of satisfaction levels with post-emergence herbicides in Echinochloa spp. controlled by rice-growing region.
MondegoSadoSorraiaTotal
SatisfiedScore101314
Adjusted residues+3.5−2.5−0.9
Average SatisfiedScore014418
Adjusted residues−3.3+4.2−1.0
Table 4. Management of straw and stubble.
Table 4. Management of straw and stubble.
Type MondegoSadoSorraiaTotal
Incorporation with harrowing 68923
Incorporation with downgradeScore117927
Adjusted residues−3.8+3.5+0.2
Burning the straw and stubbleScore91414
Adjusted residues+2.9−2.5−0.3
Incorporation and burning 1135
Table 5. Comparative analysis of satisfaction levels with post-emergence herbicides for Echinochloa spp. control, by rice-growing region.
Table 5. Comparative analysis of satisfaction levels with post-emergence herbicides for Echinochloa spp. control, by rice-growing region.
MondegoSadoSorraiaTotal
Tillage Score179430
Adjusted residues+3.6−0.9−2.7
Laser-levelingScore24262575
Table 6. Inter-bed hydraulics.
Table 6. Inter-bed hydraulics.
MondegoSadoSorraiaTotal
Water flow between bedsScore2221034
Adjusted residues−4.2+4.4−0.4
Independent for each bedScore2381647
Adjusted residues+3.9−4.3+0.5
Table 7. Type of sowing.
Table 7. Type of sowing.
MondegoSadoSorraiaTotal
With water in the seedbed, with tractor Score25161051
Adjusted residues+4.3−1.3−3.0
No water in the seedbed, with tractor Score0819
Adjusted residues−2–2+3.5−1.4
With water in the bed, with airplane Score061319
Adjusted residues−3.4−0.5+3.9
MixScore1023
Table 8. Use of Clearfield technology.
Table 8. Use of Clearfield technology.
MondegoSadoSorraiaTotal
Only NO ‘Clearfield’Score15151747
Adjusted residues0.0−1.1+1.2
Only ‘Clearfield ‘Score112215
Adjusted residues−2.3+3.8−1.6
Both types Score103619
Adjusted residues+2.2−2.2+0.1
Table 9. Rice varieties by region.
Table 9. Rice varieties by region.
Rice VarietyRegionTotal
MondegoSadoSorraia
Teti *65011
Ariete *250631
Nemesis3115
Corigan1001
Opal1146
Guara0134
Greenfield *0044
Sirio *0718
Presto *021012
Sprint0303
Ronaldo0459
Guadiagran *0628
Lusitano0145
Number of varieties51010
* Differences significant for a significance level of 5%.
Table 10. Comparative analysis of herbicides by rice-growing region.
Table 10. Comparative analysis of herbicides by rice-growing region.
Region Number of Herbicides Applied per YearNumber of MoA (During Five Years)
MondegoAverage1.11.9
N2525
Error Variance0.30.6
SadoAverage2.03.7
N2020
Error Variance1.11.5
SorraiaAverage1.73.0
N2323
Error Variance0.81.2
TotalAverage1.62.8
N6868
7Error Variance0.81.3
Table 11. Summary of focus group findings by region.
Table 11. Summary of focus group findings by region.
QuestionsMondegoSadoSorraia
Q1. What is the perception regarding weed resistance in the region?Increased level of resistance to herbicides. Emergence of new weedsWater grass (Echinochloa spp.) are the most problematic. Doubts about whether we are dealing with herbicide resistance or lack of effectiveness in herbicide application.Herbicide resistance for some weeds. Lack of efficacy is not always associated with herbicide resistance.
Q2. What strategies are being implemented in that direction, are there results?Negative to dry soil preparation. Positive: rotation and other cultural practices; change in sowing date, rotation of herbicides and height of water blades after harvest. New solutions not very feasible: cleaning of marrows, manual weeding and thermal weeding.Several solutions tested: dry seeding with buried seedlings, tillage, herbicide mix, more effective water management. No agreement on the most effective solution. Consensus on the option of manual weeding, but with the problem of a lack of workforce.Alternation of herbicides with different modes of action (most common) and localized application of herbicides. Crop practices such as tillage, change in soil preparation mode, improved irrigation management, dry sowing with buried seed, rapid soil covering.
Q3. Which crops are most adapted for a rotation, and what to consider in a three-year economic assessment?Corn and pea. Positive: increases production and decreases the cost of the crop. However, there is the problem of uneven land and runoff from alternative crops.Leguminous crops, especially chickpeas (low profitability and lack of organization). Difficulty in implementation: saline and heavy soils (hinders cropping alternatives); restrictions in terms of available water (the alternative is autumn/winter crops)Corn and sorghum. Possibility of producing forage legumes or producing legumes for agro-industry. Implementation difficulties: saline soils and heavy soils (hinder cultural alternatives); problem of unevenness of the land; technical and economic difficulties for the implementation of alternative crops. Herbicide efficacy (with increased cost) preferred to the use of crop rotation.
Q4. False seeding, with or without flooding? How to be implemented?Positive, but the three-week delay in sowing causes crop losses.Water for irrigation is only available from late April or early May.Late sowing problems (lack of early, productive varieties) and possibility of available water restrictions. The alternative is post-harvest tillage, taking advantage of the still favorable temperature.
Q5. What results would you like to see from this project?Technical manual for crop practices. Mapping of weeds and herbicide resistance. Presentation of best practice cases in other countries, with an exchange of experiences.Decision support tools for weed control. Raising public awareness about efforts in rice production and technological advances. Mediation between the project team and official entities to improve the search for solutions and their dissemination.Technical solutions to improve the effectiveness of herbicides and the production of new herbicides; agricultural tools that allow for other forms of soil preparation and the improvement of the “tillage” technique. Dissemination of project results. Financial compensatory measures for the implementation of crop rotation and false sowing.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Calha, I.; Oliveira, M.d.F.; Reis, P. Weed Management Challenges in Rice Cultivation in the Context of Pesticide Use Reduction: A Survey Approach. Sustainability 2023, 15, 244. https://doi.org/10.3390/su15010244

AMA Style

Calha I, Oliveira MdF, Reis P. Weed Management Challenges in Rice Cultivation in the Context of Pesticide Use Reduction: A Survey Approach. Sustainability. 2023; 15(1):244. https://doi.org/10.3390/su15010244

Chicago/Turabian Style

Calha, Isabel, Maria de Fátima Oliveira, and Pedro Reis. 2023. "Weed Management Challenges in Rice Cultivation in the Context of Pesticide Use Reduction: A Survey Approach" Sustainability 15, no. 1: 244. https://doi.org/10.3390/su15010244

APA Style

Calha, I., Oliveira, M. d. F., & Reis, P. (2023). Weed Management Challenges in Rice Cultivation in the Context of Pesticide Use Reduction: A Survey Approach. Sustainability, 15(1), 244. https://doi.org/10.3390/su15010244

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop