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Article

Do Crop Rotations in Rice Reduce Weed and Echinochloa spp. Infestations? Recommendations for Integrated Weed Control

1
Unidad de Protección Vegetal, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Avda. Montañana 930, 50059 Zaragoza, Spain
2
Instituto Agroalimentario de Aragón—IA2 (CITA-Universidad de Zaragoza), 50013 Zaragoza, Spain
3
Departamento de Ciencias Agrarias y del Medio Natural, Instituto Agroalimentario de Aragón-IA2, CITA Universidad de Zaragoza, 22027 Huesca, Spain
*
Author to whom correspondence should be addressed.
Agronomy 2021, 11(3), 454; https://doi.org/10.3390/agronomy11030454
Submission received: 5 February 2021 / Revised: 23 February 2021 / Accepted: 25 February 2021 / Published: 28 February 2021
(This article belongs to the Special Issue Biology and Integrated Management of Rice Weeds)

Abstract

:
The species belonging to the genus Echinochloa represent the main weeds in rice fields worldwide. Heavy soils are especially appropriate for this crop that is often grown in monoculture. A drought period in 2012 impeded farmers from sowing rice in some parts of the region of Aragon (northeastern Spain) and, unusually, they seeded alternative crops such as winter cereal, fescue (Festuca arundinacea), ryegrass (Lolium multiflorum) and lucerne (Medicago sativa). A total of 20 fields were selected, in which rice had been grown in monocrop until 2011 and several crop sequences were established afterwards; weed vegetation was recorded in spring, summer and autumn 2014-16 to find out if the crop rotations reduced weed infestations. Winter cereal and fescue were the crops with the highest soil cover; ryegrass and lucerne had difficulties in installation probably due to the heavy soil textures. Echinochloa spp. plants were found in the winter cereal stubble after having grown fescue for the previous two years and rice before that; in the forage fields, small plants of earing Echinochloa spp. adapted to mowing were detected. Recommendations for Integrated Weed Management that arise from the observations are ploughing the winter cereal stubble before seed shed of the emerged Echinochloa plants, assuring a high density of the forage crops, and efficient herbicide control in rice fields.

1. Introduction

Despite decades of intensive herbicide use, lack of weed control is a serious problem in rice fields worldwide [1]. Flooding avoids the emergence of many species but others are perfectly adapted to inundation, the most difficult weeds in this crop being Echinochloa spp. and some Cyperaceae all over Europe [1,2], as well as in other parts of the world, e.g., in Arkansas and California in the USA [3,4], and in Asian countries such as Japan [5] and China [6]. Moreover, biotypes of several Echinochloa species have developed herbicide resistance, and currently 35 different herbicide-resistant populations have been reported worldwide for Echinochloa crus-galli alone in rice [7], the first confirmed case being in Greece in 1989 [8]. Concerning the other later-emerging species of this genus, resistance has been proved in two E. oryzoides populations in the USA and Turkey and in six populations of E. oryzicola (=E. phyllopogon) in USA, France, Greece and South Korea [7]. Moreover, in Spain, resistance of several Echinochloa species has been reported [9] and control with alternative herbicides is irregular [10].
Rice needs sufficiently high temperatures for at least 5 months [11] and is extremely dependent on abundant irrigation water. For this reason, heavy clay soils with deficient drainage are often selected for this crop to save water resources. In most rice growing areas of Spain farmers do not rotate with other crops because soils with bad infiltration rates or salinity problems, useful for rice, are not appropriate for other crops. This monocrop situation increases the existing weed control problems.
It is generally accepted that crop rotations contribute to weed control, breaking weed life cycles. However it is also reasonable to expect that generally several years should be necessary to achieve substantial seedbank and emergence reductions, taking into account that weed seeds often have a long survival rate. In non-irrigated system in a semiarid steppe, the best weed population reductions were achieved by rotating two different winter crops and two different summer crops [12]. Other long-term studies extend the optimal rotation up to six years, obtaining in that case high crop productivity and a long-term weed management with low herbicide use combining the diversified crop rotation with other cultural and herbicide methods [13].
Taking into account that E. crus-galli seeds are capable of surviving up to 17 years buried at a depth of 20 cm in a silty clay loam soil and up to 12 years in a fine sandy loam [14], it is foreseeable that an effective decline of this species will need a long-lasting strategy. Moreover, Gardarin et al. [15] found an annual mortality of 0.01 seeds × seeds−1 × year−1, which represents a very slow seed decline in the soil.
As defined by Liebman and Gallandt [16], ecological and integrated weed management (IWM) requires from “many little hammers” insofar as different strategies are needed to efficiently control weeds. One possibility is to cultivate the soil by means of a false seedbed. E. crus-galli emerging later than the four-leaf stage of maize causes lower competition and grain loss than plants which established earlier [17]. In rice, E. crus-galli plants emerging 30 or 45 days after the crop also produced less viable seeds. Thus, any cultural weed management technique capable of delaying the emergence of the weed would probably contribute to reducing weed biomass and seed production [18]. Unfortunately, information on the IWM options is very scarce and solutions proposed in some countries such as e.g., combination of hand weeding and herbicide use (in Pakistan) are not viable in other countries with higher labor costs [19]. Other solutions are closely related to specific cultural singularities, such as the combination of rice and duck farming, which caused a notable reduction of E. crus-galli seeds in early-seeded rice in China [20].
In tropical regions, rice is rotated with wheat or peas but in temperate regions possible candidates are forage crops or sowing a summer crop instead of rice, e.g., maize or sunflower. However, the limitation of saline soils conditions the candidate crops.
Due to a severe drought in NE Spain in 2011–2012, some farmers interrupted the rice monocrop and decided to seed other crops, i.e., winter cereal (wheat, Triticum aestivum L. and barley, Hordeum vulgare L.) and forage crops (fescue, Festuca arundinacea Schreb., ryegrass, Lolium multiflorum Lam. and lucerne, Medicago sativa L.). The aims of this study were (1) to describe the weeds in the alternative crops after many years of rice monocrop, (2) to find out if the rotations might reduce the abundance and frequency of Echinochloa spp. in the short term.

2. Materials and Methods

In the rice growing area of Aragon (in Huesca and Zaragoza provinces, northeastern Spain), irrigation water for this crop comes from artificial reservoirs and is stored during winter to be used in the dry summer. After a drought in the winter of 2011–2012, many farmers decided to set aside the plots that year, as they were late for seeding winter crops and did not know until spring if they would have available water. However, some farmers decided to seed forage crops (fescue, ryegrass and lucerne) in March or September. Some farmers returned to rice in 2013 after abundant rainfall and water availability but others continued with the different crops installed during 2012. Rice-cultivated area in Aragon was 13,904 ha in 2011 and decreased to only 6761 ha in 2012 [21]. Taking advantage of this extraordinary situation in an area where normally rice is grown as a monoculture, plots were selected in Zaragoza province with the aid of a local advisor in 2014 (Figure 1).
The selected crops were fescue (F), ryegrass (Rg), ryegrass + fescue (Rg+F), and winter cereal, i.e., barley or wheat (C), lucerne (L) and rice (R). A total of 20 fields that had been sown with rice for many years were surveyed in 2014, 2015 and 2016 (Table 1). Plots were selected in different locations to survey fields on several soil types; plots also belonged to several farmers, with the aim of including different agronomic management practices in order to obtain the broadest possible view. The intention was to survey at least two fields with the same crop sequences over several years, but some farmers decided to change the crop in 2015 or 2016. To address this situation other new fields were included in 2015 in an attempt to complete the scenarios (Table 1). The crops with the least replicates were lucerne, the mixture ryegrass + fescue and ryegrass; on the other hand, it was easier to find fescue fields in different positions of the crop sequences (Table 1).
According to the farmers, herbicides were only used in R fields and in one barley field (Table 2).

2.1. Weed Survey

Weeds growing in the fields were described in zigzag transects by three trained persons for at least 30 min in each field until no new species were found [22] in spring, summer and autumn 2014, 2015 and 2016. The abundance of all species found was recorded according to the visual CEB scale ([23]), which relates plant density with weed soil cover in the lower abundance categories, facilitating the estimation. The CEB scale ranges from 1 to 10, which corresponds to categories of soil cover percentages of <1% (rare plants), 1–7% (<1 plant m−2), 7–15% (>1 plant m−2), 15–30%, 30–50%, 50–70%, 70–85%, 85–93%, and 93–100%. For data processing, an intermediate percentage value was assigned for each category, i.e., 0.2, 4, 11, 22.5, 40, 60, 77.5, 89 and 96.5%, respectively. Species appearing only in the boundaries were not taken into account and those plants that could not be classified in the field were identified in the laboratory with the aid of local floras [24,25,26]. Percentage crop cover was also recorded at each sampling moment. Data on crop height were discarded because data interpretation was difficult due to the different mowing timings of the forage crops.

2.2. Soil Analysis

A mixed soil sample was taken in each field from three soil cores of 0–20 cm depth on 20 November 2019. The analysed parameters were texture, pH, organic matter content, P (Olsen), K, electrical conductivity and preliminary salinity test (Table 3). In those soils where salinity exceeded 0.3 dS m-1, Ca, Mg and Na were additionally analysed to calculate saturation percentage (Table 4). The analyses were conducted by the Agro-Environmental Laboratory of the Government of Aragon, following the UNE-EN ISO/IEC 17025 standard.

2.3. Data Analysis

Mean crop cover and mean weed cover were calculated for the different crops for each season and richness was calculated. Data was tested for normality and homoscedasticity and transformed following ×^0.3 when needed. ANOVA were performed and the Tukey mean separation test conducted for this data (P < 0.05) using the statistical R program, version 2.15.0 [27]. Linear regressions between crop soil cover and weed cover were conducted using Minitab version 13 (Minitab, LLC; State College, PA, USA).
Due to the large diversity in crop sequences, data referring to species richness and weed cover were displayed for each field and sampling moment individually to facilitate understanding of changes in time and to allow comparisons between different crop rotations.

3. Results

3.1. General Results

In all, 83 species were identified during the survey; 35 were annual forbs, 20 biennial or perennial forbs, 16 annual Poaceae, 8 biennial or perennial Poaceae, 2 annual Cyperaceae and 2 were perennial Cyperaceae. In the rice fields, 18 species were found in total; 2 were annual forbs, 4 biennial or perennial forbs, 4 annual Poaceae, 4 biennial or perennial Poaceae, 2 annual Cyperaceae, and 2 were perennial Cyperaceae.

3.2. Soil Samples

All soils had a very basic pH (8.4–9.0) (Table 3), which can be limiting for absorption of P, Mn, or Zn and Fe. All soils had a high loam and a low sand content and textures corresponded to silty clay (20%), clay loam (30%), silty clay loam (40%), silt loam (5%), and clay (5%). Mean organic content was normal for irrigated fields (2.63 ± 0.13). Soils had a high proportion of silt and in some cases of clay, which might impede crop establishment. Salinity and sodicity were high in five fields; however, only field FC2 would be considered saline, with electrical conductivity (CE) >4 dS m−1, while fields CRF, C2 and R1 are classified as medium saline, with CE between 2 and 4 dS m−1 (Table 3 and Table 4). Following the explanations of the soil laboratory responsible, only the salinity of FC2 could be excessive for certain crops’ performance.
The phosphorus content of the soils was generally appropriate for their textures (considered as standard between 8 and 12 ppm), but low in some fields (F2, CRgF, Rg1, Rg2 and C2) and high in others (CR, R1, R2, RNc, C1, F1 and FC4), in these last plots probably due to excessive fertilization. K values were also appropriate for the soils (considered appropriate between 150 and 300 ppm for the present textures) and too low only for fields F2, FC3 and FRRg2 (Table 3).
The main limitation of the surveyed fields was probably the basic pH, which may cause lack of availability of some nutrients; the most inappropriate soil for agricultural purposes was the saline field FC2, which was moreover near to the sodicity threshold.

3.3. Crop Cover

Soil cover in spring was lowest for the newly established L fields and for the recently planted R compared to the rest of the crops (Table 5). In summer, soil cover was again lowest for L, together with Rg, and highest for F and R; in autumn, all crops showed similar soil cover. Concerning the performance of each crop from one season to another, Rg soil cover tended to be higher in spring but lower in summer and autumn, while F, L, and Rg + F maintained more homogeneous soil cover all year round. The mixture of Rg and F tended to cover the soil more than Rg alone and R logically performed better in summer and autumn than when recently sown in spring (Table 5).
In spring, weed cover was similar for all crops; but in summer and in autumn, weed cover was highest in L fields followed by Rg and R fields and was lowest in F (Table 5). As expected, Echinochloa spp. cover tended to be higher in autumn; in spring, some individuals were detected in C and R only.
There was a significant relationship between crop and total weed cover (P < 0.001) (Figure 2) showing that crops with a higher soil cover competed better against weeds, leading to a lower weed cover (Figure 2).

3.4. Species Richness and Weed Cover in Different Crop Situations

3.4.1. Winter Cereal Fields, Spring Evaluation

Both species richness and mean weed cover were lower when C was grown after R and NC (Figure 3) compared to growing C after other crops such as F or L (Figure 4). Values of both parameters tended to be higher in the fields where C was grown after two years of F or L (37.6% weed cover, 12.7 richness) than when F was maintained only one year in the crop rotation (3.0% weed cover, 7.0 species richness) (Figure 4).
Weed cover was high in cereal fields in three cases: in field C2 2016 in the C-C-C-C rotation (Figure 3), in plot FC3 2016 and in field FC4 2016 (both R-F-F-C) (Figure 4). In the first case the main weed was Sonchus oleraceus L., in field FC3 2016 the main weeds were Polypogon monspeliensis (L.) Desf. (22.5%), Echinochloa oryzoides (Ard.) Fritsch and volunteer F. arundinacea (11%), and in FC2 2016, E. oryzoides (22.5%) and Rapistrum rugosum L. (11%). The species S. oleraceus and P. monspeliensis are not usually problematic species in winter cereal in the area and a conventional post-emergence herbicide would probably have reduced the density. However, herbicide-resistant Rapistrum rugosum L. populations have been found in the area, suggesting that toleration of this species at high density should be avoided [28].
Echinochloa spp. plants were found in a few of these fields sampled in spring and summer (Table 6). However, the high abundance in FC3 and FC4 in 2016 is very probably due to a spring irrigation or rainfall that spring.
No weeds at all were found in C1 (Nc-C), where the herbicide pinoxaden was used. The two problem weeds in cereals in the area, i.e., A. sterilis and L. rigidum, exceeded 2% abundance in some fields, considered as the threshold for weed control according to the Integrated Pest Management guide published by the Spanish Ministry of Agriculture for cereal fields [29].

3.4.2. Winter Cereal Fields, Summer and Autumn Evaluations

Although C is harvested in early summer, several fields were not ploughed until the end of autumn and weed soil cover was high in the summer evaluations. The most abundant weed species in summer were Abutilon theophrasti Medik. (22.5% soil cover in field CR in 2014), P. monspeliensis and S. oleraceus (22.5% soil cover each in field FC2 in 2016), Aster squamatus (Spreng.) Hieron, Medicago sp., Setaria pumila Poiret (Roemer & Schultes) (22.5% soil cover each in field LC in 2016) and A. squamatus (22.5% soil cover in field FC3 in 2016). In autumn, the highest abundance was 40% soil cover by A. squamatus (field LC in 2016).
In a few cases, Echinochloa spp. were found in summer or autumn (Table 6) at 22.5% abundance in the highest case. The problem weed in rice Leptochloa fascicularis (Lam) Gray. was found only sporadically in field LC in summer and autumn (0.2%), as was Cyperus difformis L. in field FC3 in autumn 2016 (0.2%).

3.4.3. Fescue Fields after Rice

In the first year growing F after Nc, C or R, species richness and weed cover tended to be higher in spring than in the summer and autumn assessments in all fields (Figure 5). However, data from the assessments in the second and third year of growing F show that this trend occurred only in the first year and that many weeds disappeared from year to year due to mowing of the fescue (data not shown).
E. crus-galli was found at approximately 4% abundance in those F fields where R had been grown the previous year but not in the other fescue fields where either C or Nc had been grown after R. This species was still detected at 0.2% in the autumn counts in fields FC1 and FC2 (data not shown).
Weed species richness and especially weed cover were very low in the second and in the third year of growing F in spring, summer and autumn (Figure 6); E. crus-galli was observed in the second year of growing F in only one field (FC2), at surprisingly high abundance (Figure 6). In fields F1 and F2, where the crop was maintained for a third year, weed species richness and weed cover remained low; E. crus-galli was present at 0.2% only in the second and third summer of F establishment in FC2 and no plants were detected in plot F1 at all.

3.4.4. Forage Crops in Other Positions of the Rotation

Weed species richness was higher in these fields than in the rest of the crop sequences presented until now: a mean of 11.3 for Rg, 7.8 for Rg + F and 12.9 for L; but also weed cover was high: a mean of 47.0% for Rg, 18.8% for Rg+F and 59.1% for L (Figure 7a,b). Abundance, however, tended to diminish in the third and fourth year of Rg installation (in both fields) and from the first to the second year of Rg + F and of L (Figure 7a,b).
Weed cover in the Rg and L fields was generally lower in spring than in summer and autumn. In fields Rg1, Rg2, LC, and FRNcL A. squamatus was the most dominant species, with abundance exceeding 22.5% at several sampling moments and even reaching 60% in field Rg2 in autumn 2015.
Despite the mowing of the crop, E. crus-galli was present in fields Rg1 and Rg2 in autumn 2015 and in summer 2016 (density of 0.2%); but abundance in both fields in autumn 2014 had been much higher (11%). In field LC up to 40% E. crus-galli infestations were observed during the first year of growing lucerne but they decreased to values of 4% in autumn 2016, possibly due to the better establishment of the crop in the second year. In field CRgF, where F and Rg were grown mixed in the third year after R, E. crus-galli abundance declined from 11% in the first autumn down to 4% in the second summer and 0.2% in the second autumn.

3.4.5. Monocrop Rice Fields

R fields grown in monocrop showed low weed species diversity but high abundance of several species (Figure 8) including C. difformis, red rice (O. sativa), and S. maritimus. The problem species E. crus-galli or E. oryzoides were present at all sampling moments in all three fields except for R1 in summer 2016. Echinochloa density was extremely high in field RNc (89% soil cover in autumn 2015) despite herbicide applications, and resistance could be the cause of low efficacy. Moreover, the late-emerging species E. oryzoides invaded the field in autumn. In fields R1 and R2, the same herbicide mixtures were used in spring 2015 and 2016, showing quite effective results in both cases (data not shown). In field R2 population was relatively low (4%) and did not increase with time; in field R1 population abundance decreased between spring and summer in both years and from 2015 to 2016 (data not shown).

3.4.6. Rice after Growing Other Crops

Weed species richness and abundance in the fields where R is grown after other crops tended to be similar to those found in R grown as a monocrop (Figure 8 and Figure 9). In two fields (FRRg1 and CR in 2015), Echinochloa spp. were found at only 0.2% in summer and autumn and in fields FRRg2 and CR in 2016 abundance was slightly higher in autumn (4%). These differences probably also depend on the initial population density in the R fields prior to the crop rotation. A serious infestation problem was found in plot FR, where herbicides seemed to control E. crus-galli in spring 2015 but a high population was found in spring 2016 which was not controlled at all, causing a soil cover of 97% in autumn, very probably because oxadiazon was not used in pre-emergence (Table 2, Figure 9). The most abundant species after Echinochloa was C. difformis, and in some plots L. fascicularis and wild rice.

4. Discussion

4.1. General Results

The overall weed species richness of 83 was logically greater than in specific assessments of rice fields, such as e.g., the 31 species found in 50 rice fields in Portugal [30] or the 66 weed species in 481 rice fields in a study conducted in Iran [31], because not only rice fields were surveyed in the present work. However, the 18 species found in 8 rice fields included the typical expected species of this crop and some others such as Polygonum aviculare L., Lolium perenne L., Paspalum distichum L., Medicago sp., Plantago coronopus L., P. majus and Rumex spp. that probably appeared thanks to the rotations. When considering all the crops, 66% of the species were forbs, and when focusing on the rice fields, 67% were Poaceae and Cyperaceae.

4.2. Crop and Weed Cover

Soils had been cultivated in wet conditions for many years under flooded rice in all plots, so very probably the physical properties of the soils were responsible for the bad performance of L, and the mediocre establishment of Rg; barley is generally tolerant to salinity and Rg and F have medium tolerance to salt [32] and to compact soils.
Crops covering the soil appropriately led to lower weed infestations (Figure 2). However, data for the rice fields was less coherent because other factors, such as herbicide use also determine the presence of weeds. Although it is known that Echinochloa spp. are susceptible to crop competition [18], no relationship between the cover of species of this genus and the crops was found (data not shown), probably due to the irregular occurrence of this weed.

4.3. Winter Cereal Fields

In the spring evaluations species richness tended to be higher in the sampled C fields than in other surveys conducted in the area, with a mean of 6.1 species (Figure 3), versus the mean richness of 2.84 in the nearby also irrigated Hoya de Huesca area [22]. Including forage crops such as F or L increased both species richness and weed cover, which is consistent with the findings of Yuan [33].
The Integrated Pest Management guides published by the Spanish Ministry of Agriculture for cereal and rice fields consider 2% soil cover as a threshold in a cereal or rice field to take a control method decision [28,29]. Following this criterion, S. oleraceus in fields C1 and C2 and A. clavatus, Rumex sp., Hordeum murinum L., Beta maritima L., Avena sterilis L. and Lolium rigidum Gaud. in other fields were the species surpassing this threshold and control methods should be applied. However, out of this list, only A. sterilis and L. rigidum can be considered serious weeds in winter cereal fields in the area [22,34]. It has been shown that S. asper [35,36], Rumex sp. [37], B. maritima [34] and H. murinum [38] are tolerant to salinity, which explains their ability to perform satisfactorily in the surveyed fields.
In the summer and autumn evaluations, the high abundance of A. squamatus in some fields was striking but is probably due to the good adaptation of this species to mowing and thus to growing in forage crops, being tolerant to salinity and growing as an opportunist on bare ground produced by overgrazing or salinization [39]. Moreover, this species is air-transported, so its origin might be from nearby forage crops, although this species has been found in rice fields [39,40]. On the other hand, the high abundance of A. theophrasti in one plot is probably a consequence of having cultivated maize in that field in 2008–2010 (data from the official service) because the seedbank of this species is known to be very persistent [41]. P. monspeliensis is considered a typical weed in rice fields [1], as well as in other areas of Spain, where this species has been found in more than 50% of the surveyed rice plots [42]. The abundance of all these species is thus expectable in these winter cereals.
Moreover the abundance of S. olearceus is in accordance with observations of other scientists, as Lewin [43] found this species on the British Isles on many different substrates, including saline soils, but never on acid peat. The description in [35] in Canada is also in accordance with what has been found in the surveyed fields, claiming that this species primarily occurs on relatively moist soils, rich in sodium, phosphorus, potassium and calcium. Moreover Rumex spp. are stated to be tolerant to salinity [36].
The presence of other typical rice weed species that require a certain amount of moisture in the cereal stubble fields such as E. crus-galli or E. oryzoides in summer and autumn can only be due to precipitation, because these fields were not irrigated after harvest in late May or early June. Concerning E. crus-galli it is worth highlighting that this weed was found in spring, summer and autumn in different cereal fields even after growing F, L or C for several years. The most outstanding cases were fields where R had not been grown for three or four years and Echinochloa plants were still present. These plants should be carefully controlled in the stubble to avoid new seed rain. These observations are coherent with the knowledge of persistence of this species in the soil, which has been found alive in the soil at 9–20% and 2–3% after 6 and 12 years of burial respectively, depending on the soil (but even longer at a lower percentage) [14].
Recommended cultural methods to be combined in an IWM strategy are thus: (1) to seed early-harvested cereals to avoid new seed rain of this summer-emerging species because E. crus-galli is known to be quite plastic in relation to its seed ripening moment [44]. Additionally, (2) ploughing of the cereal stubble should occur in summer after emergence of the rice weeds, preventing these species from finishing their cycle and enriching the soil seedbank with new seeds.
Other typical rice weeds were found less frequently in the cereal stubble, probably due to the fact that some of them like, such as Scirpus spp. and Cyperus spp., need water at a much more constant level than Echinochloa spp. and that occasional spring irrigation and summer rainfall was not enough to assure their development. In fact, E. crus-galli grows also in fruit orchards of the region as well as in maize fields, demonstrating that it is also well adapted to non-continuous high water levels [45]. In contrast, few L. fascicularis plants were found despite the fact that this species is specialized in growing in the borders of rice fields with high moisture availability but not under continuous high water levels [46]; [47]. Probably summer storms were not plentiful enough for its settlement.

4.4. Fescue, Ryegrass and Lucerne Fields

Despite the high salinity of FC2, F cover had a mean of 75%, which is slightly lower than the mean of all F fields but still acceptable, confirming the saline tolerance of this crop.
The reason why weed species richness and weed cover tended to be higher in spring than in summer and autumn in F in its first year could be that in the spring counts, autumn-germinating weeds were still visible before maturity and early spring-germinating species were already growing. However, abundance decreased from year to year when the crop became better established.
No official weed threshold limits are available for forage crops in the Spanish Integrated Pest Management regulations but private companies establish the following quality classes depending on the visual weed content of the forage: supreme quality: 0% weeds; premium quality: up to 3% weeds; first class quality: 3–8% weeds; second class quality: 8–25% weeds; ordinary or third class quality: more than 25% weeds [48]. Taking into account these limits, most of the F mowings of the surveyed fields in the first year after growing rice would correspond to second class quality, but achieving better quality classes in the second and third years (Figure 5 and Figure 6). In fact, weed cover decreased in all surveyed F fields in time. A. squamatus, P. monspeliensis and L. multiflorum were the most abundant species in these first mowings. L. multiflorum was very probably sown mixed with the forage crop. P. monspeliensis and A. squamatus come from the rice fields and, as explained previously, are well adapted to mowing and to saline soils [39]. Additionally, this species grows on overgrazed areas and indeed a sheep farm was next to fields Rg1 and Rg2 [39].
Unfortunately, in several fields small-size individuals of Echinochloa spp. were observed, adapted perfectly to the mowing and in some cases even generating seeds from very small plants. In contrast with the positive results in F, weed cover remained quite high for all three years in the Rg and in the L fields (Figure 7). These crops are probably less tolerant to salt or to heavy soil textures than F, thus allowing more weeds to grow. Nevertheless, few fields with these crops were available so further surveys with Rg and L would be desirable. Concerning Echinochloa spp., no plants were detected at some sampling moments in F and L fields but maximum abundance occurred in the first year of L establishment (field LC), reaching 40% in summer 2014 and decreasing afterwards. However, in the two fields that maintained fescue for a third year, no Echinochloa plants were detected at all in the third year any more, suggesting that this crop might be able to reduce the abundance of this problem weed. Moreover, the results of the mixed forage crops of Rg and F showed promising crop cover and weed control data, even though field CRgF was one of the most saline soils (Table 3). This suggests that although there was only one available field, mixing two forage species such as Rg and F might be a good technique to assure better competition in fields that lack a good structure after many years of flooding.
Therefore, the third recommendation for Echinochloa spp. control in an IWM program is (3) to guarantee a high crop density of the mowed forage crops, using the correct seed rates and also by mixing different crops to assure a good crop soil cover.

4.5. Monocrop Rice Fields

All of the surveyed R fields hosted the highest weed abundance and frequency values of the survey, confirming the big weed problem in rice crops [2]. E. crus-galli was found at more than 60% of the sampling moments in fields R1 and R2 E. oryzoides was found in RNc in 2015, and C. difformis was found at all the survey moments in at least one of the fields (data not shown). The Integrated Pest Management guide published by the Spanish Ministry of Agriculture for rice fields considers 2% soil cover as a threshold in a rice field for a control decision [49]. According to Reddy et al. [50], Echinochloa spp. start to compete with crops as early as the three-leaf stage and allelopathic effects are expected [51] that justify these thresholds. From this point of view, five typical rice weed species exceeded this threshold in one field and two species did so in the other (data not shown).
In several cases, E. crus-galli was abundant in the spring assessments and E. oryzoides was abundant in autumn. A possible reason might be resistance; but it also happens that the first species emerges earlier in the season and is, on occasion, efficiently controlled with herbicides whereas the second species finishes the cycle later (according to the literature, it is the last of the four Echinochloa species described in the area [24]) and is often not treated as it emerges after the treatments. Concerning herbicide use, the observations confirm that oxadiazon used in pre-emergence reduces Echinochloa spp. densities drastically, as found in other studies [10].
The following recommendation for IWM arises from these results: (4) it is important to take into account that several Echinochloa species emerge in rice fields and that some species germinate later than others, so more than one intervention might be necessary. However, as oxadiazon use in rice is no longer allowed in pre-emergence in rice since 2019, it cannot be recommended despite its positive effect in reducing early weed emergence.

4.6. Rice after Growing Other Crops

Although Echinochloa abundance was reasonably low in several rice fields after growing fescue or cereal, the results for field FR in the second year of R after growing F demonstrate that constant and efficient control methods need to be applied to avoid re-infestations when growing rice again some years afterwards. This result is again coherent with the high seed survival reported for Echinochloa species [14]. These observations suggest the last recommendation for IWC of Echinochloa spp.: (6) control methods need to be performed for more than 10 years to guarantee a depletion of the soil seedbank due to the long-lasting survival of the seeds in the soil.

5. Conclusions

The main conclusion of this work is that crop rotation alone is not sufficient to control Echinochloa spp. but needs to come along with detailed observation of the species’ performance, eliminating the plants before new seed shed. The staggered germination of the different Echinochloa species in rice fields forces the use of herbicides several times. In winter cereal, crops should be harvested early and stubble turned into the soil to prevent Echinochloa plants from finishing their cycle in summer. A high crop density needs to be achieved in the different forage crops surveyed in this work to assure that they compete efficiently with the weeds. Moreover, Echinochloa spp. have demonstrated their adaptation capacity to periodical mowing. Therefore a substantial reduction of the seedbank of both herbicide susceptible and resistant populations will only be possible if new seed shed is impeded efficiently for several years.

Author Contributions

Conceptualization, G.P. and A.C.; methodology, G.P., A.C. and A.I.M.; software, A.C. and G.P.; formal analysis, A.C.; investigation, G.P., A.C., A.I.M. and J.A.; data curation, G.P. and AC.; writing—original draft preparation, A.C.; writing—review and editing, G.P., A.C., A.I.M. and J.A.; supervision, G.P. and A.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Ministerio de Economía y Competitividad. INIA RTA 2017-00098-00-00.

Acknowledgments

Thanks to S. Hernández for her help in selecting plots. Thanks to J. Betrán for his collaboration with the soil analyses and their interpretation.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kraehmer, H.; Jabran, K.; Mennan, H.; Chauhan, B.S. Global distribution of rice weeds—A review. Crop Prot. 2016, 80, 73–86. [Google Scholar] [CrossRef]
  2. Kraehmer, H.; Thomas, C.; Vidotto, F. Rice production in Europe. In Rice Production Worldwide; Springer International Publishing: Cham, Switzerland, 2017. [Google Scholar] [CrossRef]
  3. Bagavathiannan, M.V.; Norsworthy, J.K.; Smith, K.L.; Burgos, N. Seedbank size and emergence pattern of barnyardgrass (Echinochloa crus-galli) in Arkansas. Weed Sci. 2011, 59, 359–365. [Google Scholar] [CrossRef]
  4. Ruiz-Santaella, J.P.; Fisher, A.J.; De Prado, R. Alternative control of two biotypes of Echinochloa phyllopogon susceptible and resistant to fenoxaprop-ethyl. Commun. Agric. Appl. Biol. Sci. 2003, 68, 403–407. [Google Scholar]
  5. Lin, D.; Tsuzuki, E.; Dong, Y.; Terao, H.; Xuan, T.D. Potential biological control of weeds in rice fields by allelopathy of dwarf lilyturf plants. BioControl 2004, 49, 187–196. [Google Scholar] [CrossRef]
  6. Wang, X.L.; Zhang, Z.Y.; Xu, X.M.; Li, G. The density of barnyard grass affects photosynthesis and physiological characteristics of rice. Photosynthetica 2019, 57, 705–711. [Google Scholar] [CrossRef] [Green Version]
  7. Heap, I. International Survey of Herbicide Resistant Weeds. Available online: http://www.weedscience.org/Summary/Species.aspx (accessed on 30 May 2019).
  8. Giannopolitis, C.N.; Vassiliou, G. Propanil tolerance in Echinochloa crus-galli (l.) Beauv. Trop. Pest Manag. 1989, 35, 6–7. [Google Scholar] [CrossRef]
  9. Romano, Y.; Mendoza, F.; Palmerín, J.A.; Quiles, J.; Amaro, I.; Osuna, M.D. Distribución de poblaciones resistentes de Echinochloa spp. a herbicidas inhibidores de la ALS y ACCasa en Extremadura. In Proceedings of the XVI Congreso de la Sociedad Española de Malherbología, Pamplona, Spain, 25–27 October 2017; Royuela, M., Zabalza, A., Eds.; Universidad Pública de Navarra: Navarra, Spain, 2017; pp. 269–271. [Google Scholar]
  10. Pardo, G.; Marí, A.; Fernández-Cavada, S.; García-Floria, C.; Hernández, S.; Zaragoza, C.; Cirujeda, A. Alternatives to penoxsulam to control Echinochloa spp. and cyperaceous weeds in rice crop in NE Spain. ITEA Inf. Tec. Econ. Agrar. 2015, 111, 295–309. [Google Scholar] [CrossRef]
  11. Farrell, T.C.; Fox, K.M.; Williams, R.L.; Fukai, S.; Lewin, L.G. Minimising cold damage during reproductive development among temperate rice genotypes. II. Genotypic variation and flowering traits related to cold tolerance screening. Aust. J. Agric. Res. 2006, 57, 98–100. [Google Scholar] [CrossRef]
  12. Anderson, R.L. Managing weeds with a dualistic approach of prevention and control. A review. Agron. Sustain. Dev. 2007, 27, 13–18. [Google Scholar] [CrossRef] [Green Version]
  13. Adeux, G.; Munier-Jolain, N.; Meunier, D.; Farcy, P.; Carlesi, S.; Barberi, P.; Cordeau, S. Diversified grain-based cropping systems provide long-term weed control while limiting herbicide use and yield losses. Agron. Sustain. Dev. 2019, 39, 42. [Google Scholar] [CrossRef]
  14. Burnside, O.C.; Wilson, R.G.; Weisberg, S.; Hubbard, K.G. Seed longevity of 41 weed species buried 17 years in eastern and western Nebraska. Weed Sci. 1996, 44, 74–86. [Google Scholar] [CrossRef]
  15. Gardarin, A.; Dürr, C.; Mannino, M.R.; Busset, H.; Colbach, N. Seed mortality in the soil is related to seed coat thickness. Seed Sci. Res. 2010, 20, 243–256. [Google Scholar] [CrossRef]
  16. Liebman, M.; Gallandt, E.R. Many Little Hammers: Ecological Management of Crop-Weed Interactions. In Ecology in Agriculture; Liebman, E.M., Gallandt, E.R., Eds.; Academic Press: Cambridge, MA, USA, 1997; pp. 291–343. [Google Scholar] [CrossRef]
  17. Bosnic, A.C.; Swanton, C.J. Influence of barnyardgrass (Echinochloa crus-galli) time of emergence and density on corn (Zea mays). Weed Sci. 1997, 45, 276–282. [Google Scholar] [CrossRef]
  18. Awan, T.H.; Chauhan, B.S. Effect of emergence time, inter- and intra-specific competition on growth and fecundity of Echinochloa crus-galli in dry-seeded rice. Crop Prot. 2016, 87, 98–107. [Google Scholar] [CrossRef]
  19. Awan, T.H.; Saleem, M.U.; Hussain, S.; Ahmed, S.; Ali, H.H. Integrated weeds management in dry-seeded basmati rice. J. Anim. Plant Sci. 2019, 29, 1299–1307. [Google Scholar]
  20. Wei, H.; Bai, W.; Zhang, J.; Chen, R.; Xiang, H.; Quan, G. Integrated rice-duck farming decreases soil seed bank and weed density in a paddy field. Agronomy 2019, 9, 259. [Google Scholar] [CrossRef] [Green Version]
  21. MAPA. Anuarios Estadísticos. Available online: https://www.mapa.gob.es/es/estadistica/temas/publicaciones/anuario-de-estadistica/default.aspx (accessed on 18 January 2021).
  22. Cirujeda, A.; Aibar, J.; Zaragoza, C. Remarkable changes of weed species in Spanish cereal fields from 1976 to 2007. Agron. Sustain. Dev. 2011, 31, 675–688. [Google Scholar] [CrossRef]
  23. Marnotte, P. Influence des facteurs agroécologiques sur le developpement des mauvaises herbes en climat tropical humide. In Proceedings of the 1984 7ème Colloque International Ecologie, Biologie et Systematique des Mauvaises Herbes, Paris, France, 9–11 October 1984; COLUMA/EWRS: Paris, France, 1984; pp. 183–188. [Google Scholar]
  24. Alberti, J. L’arròs. Principals Malalties, Plagues i Males Herbes; BASF España: Barcelona, Spain, 1999. [Google Scholar]
  25. Puente, J. Guía de La Flora de La Depresión Del Ebro. Serie Difusión; Consejo Protección de la Naturaleza de Aragón, Gobierno de Aragón: Zaragoza, Spain, 2004. [Google Scholar]
  26. Recasens, J.; Conesa, J.A. Malas Hierbas en Plántula. Guía de Identificación; Universitat de Lleida and Bayer CropScience: Lleida, Spain, 2009. [Google Scholar]
  27. R Core Development Team. R: A Language and Environment for Statistical Computing; R Core Development Team: Vienna, Austria, 2019. [Google Scholar]
  28. Pardo, G.; Marí, A.I.; Aibar, J.; Vilaplana, L.; Cirujeda, A. Bastard Cabbage (Rapistrum rugosum L.) resistance to tribenuron-methyl and iodosulfuron-methyl-sodium in Spain and alternative herbicides for its control. Agronomy 2019, 9, 492. [Google Scholar] [CrossRef] [Green Version]
  29. MAAMA. Guía de Gestión Integrada de Plagas. Cereal. Available online: https://www.mapa.gob.es/es/agricultura/temas/sanidad-vegetal/GUIAdeCEREALESWEB_tcm30-57956.pdf (accessed on 18 October 2018).
  30. Vasconcelos, T.; Forte, P. Weeds in the rice fields of Sado valley. In Proceedings of the VII Congreso de la Sociedad Española de Malherbología, Logroño, Spain, 23–25 November 1999; Suso Martínez de Bujo, M., Pardo Iglesias, A., Eds.; Sociedad Española de Malherbologia: Logroño, Spain, 1999; pp. 394–403. [Google Scholar]
  31. Golmohammadi, M.J.; Mohammaddoust Chamanabad, H.R.; Yaghoubi, B.; Oveisi, M. Rice weed community composition and richness in northern Iran: A temperate rainy area. Appl. Ecol. Environ. Res. 2018, 16, 4605–4617. [Google Scholar] [CrossRef]
  32. FAO. Annexe 1. Crop Salt Tolerance Data. Available online: http://www.fao.org/3/y4263e/y4263e0e.htm (accessed on 21 October 2020).
  33. Yuan, Z.Q.; Yu, K.L.; Wang, B.X.; Zhang, W.Y.; Zhang, X.L.; Siddique, K.H.M.; Stefanova, K.; Turner, N.C.; Li, F.M. Cutting improves the productivity of lucerne-rich stands used in the revegetation of degraded arable land in a semi-arid environment. Sci. Rep. 2015. [Google Scholar] [CrossRef] [Green Version]
  34. Carretero, J.L. Flora Arvense Española. Las Malas Hierbas de Los Cultivos Españoles; Phytoma-España: Valencia, Spain, 2004. [Google Scholar]
  35. Hutchinson, I.; Colosi, J.; Lewin, R.A. The biology of Canadian weeds. 63. Sonchus asper (L.) Hill. Biol. Can. Weeds 1984, 64, 731–744. [Google Scholar] [CrossRef] [Green Version]
  36. Hanslin, H.M.; Eggen, T. Salinity tolerance during germination of seashore halophytes and salt-tolerant grass cultivars. Seed Sci. Res. 2005, 15, 43–50. [Google Scholar] [CrossRef]
  37. Pastor Piñero, J.; Hernández, A.J. Old landfills as emergent vulnerable ecosystems to salinization: Soil characteristics and response of the plant species to increasing Na and anion contents. In Proceedings of the Global Forum on Salinization and Climate Change (GFSCC2010), Valencia, Spain, 25–29 October 2010; pp. 239–248. [Google Scholar]
  38. Lombardi, T.; Fochetti, T.; Onnis, A. Comparative salt tolerance of two wild Hordeum species (H. maritimum With. and H. murinum L.) from the coast of Tuscany (Italy). Plant Biosyst. 2000, 134, 333–339. [Google Scholar] [CrossRef]
  39. Wattl, S.; Vilar, L. A comparative study of the vegetation at Aiguamolls de l’Empordà wetlands (NE Iberian Peninsula). Sci. Gerundensis 1997, 23, 19–154. [Google Scholar]
  40. Turki, Z.; Sheded, M. Some observations on the weed flora of rice fields in the Nile Delta, Egypt. Feddes Repert. 2002, 113, 394–403. [Google Scholar] [CrossRef]
  41. Recasens, J.; Calvet, V.; Cirujeda, A.; Conesa, J.A. Phenological and demographic behaviour of an exotic invasive weed in agroecosystems. Biol. Invasions 2005, 7, 17–27. [Google Scholar] [CrossRef]
  42. Osca, J. Estudio de las malas hierbas más problemáticas de los arrozales valencianos. In Herbologia e Biodiversidade numa Agricultura Sustentável, Proceedings of the XII Congreso da Sociedad Española de Malherbología (SEMh), Lisboa, Portugal, 10–13 November 2009; ISA Press: Lisboa, Portugal, 2009; pp. 289–290. [Google Scholar]
  43. Lewin, R.A. Biological flora of the British Isles. J. Ecol. 1948, 36, 203–233. [Google Scholar] [CrossRef]
  44. Barrett, S.C.H.; Wilson, B.F. Colonizing ability in the Echinochloa crus-galli complex (barnyard grass). I. Variation in life history. Can. J. Bot. 1981, 59, 1844–1860. [Google Scholar] [CrossRef]
  45. Travlos, I.S.; Economou, G.; Kanatas, P.J. Corn and barnyardgrass competition as influenced by relative time of weed emergence and corn hybrid. Agron. J. 2011, 103, 1–6. [Google Scholar] [CrossRef]
  46. Osca, J.M. 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] [CrossRef]
  47. Vladimirov, V.; Delcheva, M. First record of the alien Diplachne fascicularis (Poaceae) in Bulgaria. Flora Mediterr. 2016, 26. [Google Scholar] [CrossRef]
  48. Lloveras, J.; Melines, M.A. La calidad en la alfalfa. Posibles clasificaciones. Vida Rural 2015, 212, 36–40. [Google Scholar]
  49. MAAMA. Guía de Gestión Integrada de Plagas. Arroz. Available online: https://www.mapa.gob.es/es/agricultura/temas/sanidad-vegetal/guia_arroz_webprotegida_tcm30-434395.pdf (accessed on 18 October 2018).
  50. Reddy, T.Y.; Reddi, G.H.S. Principles of Agronomy, 3rd ed.; Kalyani Publishers: New Delhi, India, 2002. [Google Scholar]
  51. Dass, A.; Shekhawat, K.; Choudhary, A.K.; Sepat, S.; Rathore, S.S.; Mahajan, G.; Chauhan, B.S. Weed management in rice using crop competition—A review. Crop Prot. 2017. [Google Scholar] [CrossRef]
Figure 1. Map showing the position of the different surveyed fields.
Figure 1. Map showing the position of the different surveyed fields.
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Figure 2. Regression between crop cover (%) and weed cover (%) in the surveyed plots of all crops and in all seasons pooled together.
Figure 2. Regression between crop cover (%) and weed cover (%) in the surveyed plots of all crops and in all seasons pooled together.
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Figure 3. Weed species richness and total weed soil cover (%) for the cereal crops in the spring surveys. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). R: rice Nc: no crop, C: cereal.
Figure 3. Weed species richness and total weed soil cover (%) for the cereal crops in the spring surveys. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). R: rice Nc: no crop, C: cereal.
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Figure 4. Weed species richness and total weed soil cover (%) for the cereal crops grown in different crop rotation situations in the spring surveys. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). R: rice, C: cereal, F: fescue, L: lucerne.
Figure 4. Weed species richness and total weed soil cover (%) for the cereal crops grown in different crop rotation situations in the spring surveys. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). R: rice, C: cereal, F: fescue, L: lucerne.
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Figure 5. Weed species richness and total weed soil cover (%) for the fescue fields in their first year of establishment in spring (sp), summer (sum) and autumn (au) 2014 in different crop rotation sequences. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). R: rice, Nc: no crop, C: cereal, F: fescue.
Figure 5. Weed species richness and total weed soil cover (%) for the fescue fields in their first year of establishment in spring (sp), summer (sum) and autumn (au) 2014 in different crop rotation sequences. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). R: rice, Nc: no crop, C: cereal, F: fescue.
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Figure 6. Weed species richness and total weed soil cover (%) for the fescue fields in their second or third year of establishment (F1 and F2 in 2016) in spring (sp), summer (su) and autumn (au) in different crop rotation sequences. Individual species with ≥4% soil cover are listed below. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). R: rice, Nc: no crop, F: fescue.
Figure 6. Weed species richness and total weed soil cover (%) for the fescue fields in their second or third year of establishment (F1 and F2 in 2016) in spring (sp), summer (su) and autumn (au) in different crop rotation sequences. Individual species with ≥4% soil cover are listed below. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). R: rice, Nc: no crop, F: fescue.
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Figure 7. (a) Weed species richness and total weed soil cover (%) for the ryegrass fields after growing rice in spring, summer and autumn 2014, 2015 and 2016 in different crop rotation sequences. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). (b) Weed species richness and total weed soil cover (%) for the fescue+ryegrass and lucerne fields after growing rice in spring, summer and autumn 2014, 2015 and 2016 in different crop rotation sequences. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). C: cereal, R: rice, Rg: ryegrass, F: fescue, Nc: no crop, L: lucerne.
Figure 7. (a) Weed species richness and total weed soil cover (%) for the ryegrass fields after growing rice in spring, summer and autumn 2014, 2015 and 2016 in different crop rotation sequences. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). (b) Weed species richness and total weed soil cover (%) for the fescue+ryegrass and lucerne fields after growing rice in spring, summer and autumn 2014, 2015 and 2016 in different crop rotation sequences. The letters show the crops from 2013 until the sampling moment, the sampled crop being the last of the rotation (in larger letters). C: cereal, R: rice, Rg: ryegrass, F: fescue, Nc: no crop, L: lucerne.
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Figure 8. Weed species richness and total weed soil cover (%) for the monocrop rice fields in spring (sp), summer (su) and autumn (au) 2015 and 2016. R: rice, Nc: no crop.
Figure 8. Weed species richness and total weed soil cover (%) for the monocrop rice fields in spring (sp), summer (su) and autumn (au) 2015 and 2016. R: rice, Nc: no crop.
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Figure 9. Species richness and total weed soil cover (%) for the fields where rice is grown after other crops in spring, summer and autumn 2014, 2015 and 2016. The sampled crop is the last of the crop rotation.
Figure 9. Species richness and total weed soil cover (%) for the fields where rice is grown after other crops in spring, summer and autumn 2014, 2015 and 2016. The sampled crop is the last of the crop rotation.
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Table 1. Crops grown on the different surveyed plots between 2012 and 2016 in Aragon, Spain.
Table 1. Crops grown on the different surveyed plots between 2012 and 2016 in Aragon, Spain.
Plot Name2012 (Ns)2013 (Ns)201420152016
Plots with the same crop in 2014–2016
F1 (Fescue 1)RiceNcFescueFescueFescue
F2 (Fescue 2)RiceNcFescueFescueFescue
Rg1 (Ryegrass 1)RiceRyegrassRyegrassRyegrassRyegrass
Rg2 (Ryegrass 2)NcRyegrassRyegrassRyegrassRyegrass
C1 (Cereal 1)RiceNcBarleyBarleyWheat
C2 (Cereal 2)NcWheatWheatWheatWheat
R1 (Rice 1)RiceRiceRice (Ns)RiceRice
R2 (Rice 2)RiceRiceRice (Ns)RiceRice
Plots with different crops in 2014–2016
CRg+F (Cereal-ryegrass+fescue)RiceBarleyBarleyRyegrass and fescueRyegrass and fescue
FC1 (Fescue-cereal 1)NcWheatFescueWheatWheat
FC2 (Fescue-cereal 2)NcWheatFescueFescueWheat
FC3 (Fescue-cereal 3)NcRiceFescueFescueWheat
FC4 (Fescue-cereal 4)NcRiceFescueFescueWheat
LC (Lucerne-cereal)NcRiceLucerneLucerneWheat
CR (Cereal-rice)NcRiceWheatRiceRice
FRNcL (Fescue-rice-Nc–lucerne)NcFescueRiceNcLucerne
FR (Fescue-rice)NcFescueFescue (Ns)RiceRice
FRRg1 (Fescue-rice-ryegrass 1)RiceFescueFescue (Ns)RiceNc, ryegrass
FRRg2 (Fescue-rice-ryegrass 2)NcFescueFescue (Ns)RiceNc, ryegrass
RNc (Rice-Nc)RiceRiceRice (Ns)RiceNc
Ns: not surveyed; Nc: no crop.
Table 2. Herbicides used in the different surveyed fields between 2014 and 2016 in Aragon, Spain.
Table 2. Herbicides used in the different surveyed fields between 2014 and 2016 in Aragon, Spain.
Plot */year201420152016
C1pinoxaden (barley)--
R1-Oxadiazon + penoxsulam + azimsulfuronOxadiazon + penoxsulam + azimsulfuron
R2-Oxadiazon + penoxsulam + azimsulfuronOxadiazon + penoxsulam + azimsulfuron
CR-Profoxidim + penoxsulamprofoxdim + penoxsulam
FR-Oxadiazon + penoxsulam + bispyribacpenoxsulam
FRRg1-Oxadiazon + cihalofop-p-butil + penoxsulam + bispyribac-
FRRg1-Oxadiazon + cihalofop-p-butil + penoxsulam + bispyribac-
RNccihalofop-p-butil + penoxsulam + bispyribaccihalofop-p-butil + penoxsulam + bispyribac-
* Abbreviations: see Table 1.
Table 3. Soil analysis data of the 20 surveyed fields in Aragon, Spain. In bold, samples that were subjected to an additional salinity test due to salinity ≥0.4 dS m−1.
Table 3. Soil analysis data of the 20 surveyed fields in Aragon, Spain. In bold, samples that were subjected to an additional salinity test due to salinity ≥0.4 dS m−1.
Plot *Sand
(%)
Coarse Loam (%)Fine Loam (%)Clay (%)TexturepHSalinity **
(dS m−1)
Organic Matter
(g/100 g)
P
(mg kg−1)
K
(mg kg−1)
Mg
(mg kg−1)
F110.436.4243.0340.12silty clay8.60.23.4620162232
F24.6911.3759.9224.02silt loam8.80.21.88496226
Rg122.6811.4935.8130.02clay loam8.80.32.945212340
Rg28.738.9347.8234.52silty clay loam8.90.32.157158274
C15.198.4855.2931.04silty clay loam8.40.32.2920262220
C211.9810.544.1633.36silty clay loam8.60.42.246292270
R120.067.3937.8234.73clay loam8.40.42.8832254311
R24.234.7944.7646.27silty clay8.40.33.3832348478
CRgF3.64.454.937.1silty clay loam8.50.62.596236401
FC110.78.3345.7935.18silty clay loam8.80.32.2212158264
FC211.6710.2745.1632.9silty clay loam8.40.92.018182259
FC332.748.1629.629.5clay loam8.60.32.519148242
FC435.726.4726.3731.44clay loam8.50.32.9519268192
LC32.945.7730.7530.54clay loam8.60.32.5010248304
CR8.645.8341.8143.72silty clay8.60.33.5339328354
FRNcL8.276.5743.6341.53silty clay8.50.33.7314256354
FR4.012.136.8757.02clay8.70.42.8816320548
FRRg117.87.340.634.3silty clay loam9.00.31.8611158394
FRRg236.56.8727.1829.35clay loam8.80.22.5117102234
RNc9.4915.3846.2528.88silty clay loam8.70.22.0122174272
* Abbreviations: see Table 1. ** EC test using the paste at a ratio of 1:5 (EC 1:5 at 25 °C).
Table 4. Additional soil analysis data for the fields that had higher salinity values.
Table 4. Additional soil analysis data for the fields that had higher salinity values.
Plot *Electrical Conductivity ** (dS m−1)Saturation
(%)
Ca
(meql−1)
Mg
(meql−1)
Na
(meql−1)
C22.2754.7510.213.189.79
R12.3850.0014.103.457.90
CRgF3.6260.2512.525.7521.17
FC26.7252.7522.039.3044.83
FR1.5269.255.562.658.30
* Abbreviations: see Table 1. ** EC saturated paste at 25 °C.
Table 5. Mean crop soil cover, weed soil cover and Echinochloa spp. cover (%) for the different crops repeated during 2014 to 2016 in the different seasons and yearly mean ± standard error for the same values. Winter cereal was not surveyed after harvest in summer and autumn.
Table 5. Mean crop soil cover, weed soil cover and Echinochloa spp. cover (%) for the different crops repeated during 2014 to 2016 in the different seasons and yearly mean ± standard error for the same values. Winter cereal was not surveyed after harvest in summer and autumn.
CropSeason1 Mean Crop Soil Cover (%)1 Mean Weed Cover (%)Mean Echinochloa spp. Cover (%)2 Mean Crop Soil Cover (%)2* Mean Weed Cover (%)Mean Echinochloa spp. Cover (%)
Winter cerealspring78 ± 6.2 A16 ± 5.4 A2 ± 1.777.9 a8.1 cd2 ± 1.7
Fescuespring84 a A* 7.8 x (17 A)0 ± 0.081.8 a5.4 d0.5 ± 0.3
summer82 a M* 6.3 x (11 O)0.3 ± 0.3
autumn81 a X* 2.7 x (6 Z)1 ± 1.1
Ryegrassspring75 a AB32.5 x A0 ± 0.058.1 ab42.5 ab1.3 ± 1.3
summer46 a N50.8 x MN0.1 ± 0.0
autumn53 a X57.8 x XY4 ± 2.3
Ryegrass+fescuespring60 a ABC20.5 x A0 ± 0.062.2 ab13.6 bcd2 ± 1.2
summer67 a MN13.9 x NO1.3 ± 1.30
autumn60 X12.7 x YZ4 ± 3.6
Lucernespring37 a BC49.6 x A0 ± 0.036.9 b55.7 a9 ± 5.2
summer40 a N60.3 x M15 ± 12.7
autumn35 a X75.4 x X13 ± 9.3
Ricespring36 b C28.8 x A12 ± 5.563.0 ab20.9 abc15 ± 4.6
summer76 a M26.8 x MNO10 ± 7.4
autumn81 a X34.7 x XYZ21 ± 10.2
1 For each crop and season, different letters mean significant differences in the Tukey test (P < 0.05). Lower case letters refer to comparisons between crops; capital letters refer to comparisons within each season. 2 For each crop, different letters mean significant differences in the Tukey test (P < 0.05). * Back-transformed from x^0,3, in brackets, original data.
Table 6. Abundance of Echinochloa spp. (%) in the winter cereal fields in summer and autumn and in their previous and subsequent crops. C: cereal, Rg: ryegrass, F: fescue, L: lucerne, R: rice.
Table 6. Abundance of Echinochloa spp. (%) in the winter cereal fields in summer and autumn and in their previous and subsequent crops. C: cereal, Rg: ryegrass, F: fescue, L: lucerne, R: rice.
201420152016
Plot *suausuausuau
CCRg + FRg + FRg + FRg + F
CRF0.200000
CCRRRR
CR22.50.20000
CCCCCC
C1000.200.20
C2000.222.500
LLLLCC
LC0000110.2
FFCCCC
FC1004400
FC3000000.2
su: summer, au: autumn. * Abbreviations: see Table 1.
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Pardo, G.; Marí, A.I.; Aibar, J.; Cirujeda, A. Do Crop Rotations in Rice Reduce Weed and Echinochloa spp. Infestations? Recommendations for Integrated Weed Control. Agronomy 2021, 11, 454. https://doi.org/10.3390/agronomy11030454

AMA Style

Pardo G, Marí AI, Aibar J, Cirujeda A. Do Crop Rotations in Rice Reduce Weed and Echinochloa spp. Infestations? Recommendations for Integrated Weed Control. Agronomy. 2021; 11(3):454. https://doi.org/10.3390/agronomy11030454

Chicago/Turabian Style

Pardo, Gabriel, Ana Isabel Marí, Joaquín Aibar, and Alicia Cirujeda. 2021. "Do Crop Rotations in Rice Reduce Weed and Echinochloa spp. Infestations? Recommendations for Integrated Weed Control" Agronomy 11, no. 3: 454. https://doi.org/10.3390/agronomy11030454

APA Style

Pardo, G., Marí, A. I., Aibar, J., & Cirujeda, A. (2021). Do Crop Rotations in Rice Reduce Weed and Echinochloa spp. Infestations? Recommendations for Integrated Weed Control. Agronomy, 11(3), 454. https://doi.org/10.3390/agronomy11030454

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