Abstract
Introduction:
Biological control of root diseases of lucerne (Medicago sativa L.) has potential benefits for stand performance but this remains unsupported by evidence from practical field studies.
Methods:
In field experiments at three sites our objectives were to determine the effect of Pythium oligandrum, as spring, autumn and intensive regime treatments on (i) lucerne plant density and root traits development, and (ii) forage yield and forage traits. Lucerne stands were managed under two or three treatments: non-treated control and P. oligandrum applied at two intensities of application under four-cut utilization.
Results and discussion:
Under relatively dry conditions (annual mean 10°C and <500 mm precipitation) lucerne dry matter yield was significantly reduced by 6%, which could be related to mechanisms of inappropriate stimulation and disturbance of the balance between auxins and ethylene. Under annual precipitation of >500 mm, positive impacts on stand height or fine root mass were observed for the autumn and intensive treatments where positive root response was visible only in alluvial soil. However, these changes did not result in higher yield and probably more applications per year will be needed for significant forage yield improvement. This study highlights the limits of field-scale biological control in which the potential of P. oligandrum for lucerne productivity improvement was realised only under a humid environment or deep alluvial soils, where higher root disease infestation may also be expected.
Introduction
Biological control of pests and diseases of field crops has become of increasing importance in recent years in line with the current emphasis on improved sustainability of crop production and reduced use of chemical pesticides in agriculture. Increasing implementation of biological approaches, including biological control, biopesticides, biostimulants and pheromones, is a high priority for sustainable agriculture leaders and farmers (). Among potential biological control agents, beneficial fungi have received significant attention worldwide due to their remarkable antagonistic properties against plant pathogens and numerous successful applications have been reported (). Several studies on the use of fungi as biological control agents have identified multiple mechanisms by which fungal agents, such as Pythium () or Trichoderma () may protect plants from pathogens, as well as showing the limits for their effective utilization in affecting soil-borne diseases (). Understanding the mechanisms for fungal control of pathogens is crucial for the development of effective biocontrol strategies against plant diseases, and there are further requirements affecting their use such as the ability to produce liquid cultures for easy application and ensuring an adequate persistence of the fungal agent in the environment (). In addition to the biocontrol properties of Trichoderma, as highlighted by , Pythium oligandrum has been investigated for its potential as a biological protection agent for several crops over the last two decades (), either alone or in combination with bacterial strains (). summarized that P. oligandrum is a mycoparasitic oomycete, and has the ability to colonize the rhizosphere and root systems of many crop plants, directly attacking soil-borne fungal pathogens, promoting plant growth, and increasing crop protection against fungal disease via the activation of the plant’s immune system. Examples of the efficacy of P. oligandrum against the plant pathogens have been reported for P. ultimum, P. aphanidermatum, Fusarium oxysporum, Verticillium albo-atrum, Rhizoctonia solani and Physperma solani (, ). described differences among 12 diverse strains of P. oligandrum with regard to their properties and effect on plants, and identified strain M1 with positive influence on plant fitness.
Forage legumes such as lucerne (Medicago sativa L.) or red clover (Trifolium pratense L.) comprise an important group of field crops that are susceptible to root diseases which can seriously limit their survival and yield through reduction of plant density and productivity over successive years (). Although a number of studies have been conducted over several decades, no effective fungicidal control of these root diseases has yet been established or approved. This is partly because fungicidal control by chemical fungicides is thought to be ineffective in providing complete disease control () and several studies have reported reduced crop growth efficiency, especially in terms of forage yield improvement (; ; ). Although some studies have demonstrated positive effects of fungicides on disease protection of forage legumes (; ), this was usually followed by negative effects on crop growth (; ) and/or adverse effects on non-target microorganisms such as mycorrhizal fungi () and N fixation, where inhibition of molecular signalling between rhizobia and the host legume plants has been observed (). suggested also suitable combinations of fungicide with biological control agents reducing environment pollution. The absence of an approved fungicide protection treatment has meant that plant breeding for disease resistance () and/or suitable cultivation management () remain as the key disease-control strategy for lucerne or red clover producers (; ).
Among biological control methods, some positive effects for lucerne were reported after Streptomyces (; ) or Bacillus cereus application (), both of which reduced lucerne seedling damping-off during stand establishment. observed a positive response of lucerne to application of Bacillus megatherium or Trichoderma album, although neither was as effective as abiotic agents in their study. confirmed there was a positive yield effect of application of Conithirium minitans prior to seeding, when red clover plants were infected with Sclerotinium trifoliorum. Despite some positive examples of biological control, found that biological control under field conditions may not always give beneficial outcomes, in contrast to the results of laboratory or greenhouse experiments, because of complicated interactions between plant, organism/preparation, and environment resulting in general unstable controllling effects from year to year. Although there has been intensive research in biological protection of diseases under controlled conditions, there still remains a lack of field-based studies to provide evidence supporting the economic efficiency of biological control for particular crops, especially for the successive harvest years of perennial forage crops. Among the Fabaceae crops, the effectiveness of P. oligandrum has been documented mostly for grain legumes such as soybean () or pea () and only a few studies have been reported for forage legumes. The Fusarium and Verticilium generally represent the main root pathogens of lucerne () and were also identified as the key genera of lucerne root pathogens in central Europe (). Efficacy of P. oligandrum (strain M1) against Fusarium (F. avenaceum, F. oxysporum, F. culmorum, and F. solani) in red clover stands has been presented (; )
Positive effects on forage yield have been reported in two independent experiments with red clover under treatments with intensive application of P. oligandrum but this improved yield was associated more with plant growth stimulation than from a direct protection against Fusarium (; ). In lucerne, spring application of P. oligandrum was found to provide zero effect on yield and it even increased the proportion of infected plants in the last year of the field experiment (). For vetch (Vicia sativa L.), significantly lower effects of biological control than with conventional chemical control have been reported (). Previous research has also shown a significant relationship between lucerne root morphology and infection of root diseases (; ) and therefore there is a need for evaluation of disease score together with root traits and forage yield.
Optimization of the number of applications and dates of application is needed to ensure economic practice in crop protection (). This is especially difficult for perennial forage crops that are utilized over multiple-year growing seasons covering the seeding year and two or three subsequent harvest years. The results with a single spring application of P. oligandrum in lucerne have not provided positive yield response at the one location investigated so far (). For red clover some benefits under an intensive or autumn application regime, in contrast to spring application, have been reported in terms of improved red clover yield and/or root traits (). These previous outcomes for red clover highlights potential of P. oligandrum for forage legumes and gives further encouragement to extend the biological control research with treatments including variable timing of applications to lucerne. Testing effective lucerne protection would have an innovative benefit as no such practical method has yet been recommended for field conditions. Therefore, in the work reported here, we have combined results obtained from three field experiments that investigated different timing and intensity of lucerne biological control of root diseases. Our aims were to investigate the effect of spring, autumn and intensive regimes of P. oligandrum application to lucerne on (i) plant density and root traits development, and (ii) on forage yield and forage traits in a four-year field experiment on different sites. An additional aim was to evaluate the relationship between lucerne fine root mass, other root morphology traits and plant root disease score. These comprehensive evaluations from different locations could be valuable for better understanding of the simultaneous effects of tested treatments on the improvement of lucerne stand performance and provided outcomes can be practically applied in the similar field conditions.
Materials and methods
Field experiments
Field plot experiments with lucerne were conducted at three sites in the Czech Republic during 2016 - 2020. Site 1 (Červený Újezd, elevation 410 m a.s.l.) is characterized by clay-loam Haplic Luvisol with a shallow soil profile, long-term mean annual temperature of 8.4°C and cumulative annual rainfall of 502 mm. Site 2 (Jevíčko, elevation 350 m a.s.l.) is located on a river floodplain with a deep loam Haplic Luvisol and high soil humidity. Site 3 (Drválovice, elevation 460 m a.s.l.) is characterized by loamy-sandy Cambisol. Sites 2 and 3 are close to each other and share data from the same meteorological station: long-term mean annual temperature of 7.4°C and cumulative annual rainfall of 545 mm. All characteristics of sites are summarized in Table 1.In all three experiments, lucerne varieties Oslava (at Sites 1 and 2) and Pálava (at Site 3) were established in spring as monocultures with a sowing rate of 700 viable seeds m-2 and row seeding at a between-row distance of 12.5 cm. Each experiment consisted of a non-treated control and one or two Polyversum treatments, and was arranged in a completely randomized block design with four replicate blocks. Plot size was 7.2 × 2.5 m with a harvested area of 10 m2. The preparation of Polyversum (Biopreparáty spol. s r.o., Czech Republic) contained 1 000 000 active oospores of Pythium oligandrum M1 per gram. The Polyversum was applied once each year (in spring or autumn) with additional applications per year for the intensive treatment. In the seeding year, Polyversum treatments were applied one to three times (6 weeks after stand establishment, after an initial mowing of the new sward at 5 cm for which the cut herbage mass was not recorded), and also after an autumn cut, depending on intensity of application. Timing of Polyversum applications in post-seeding years corresponded with a four-cut schedule where the number of applications for the intensive treatment varied from two at Site 2 (after first and autumn cut) to five at Site 1 (in spring and after each cut). The single applications of Polyversum were made after first cut (spring treatment) or after the autumn cut (autumn treatment). The timing of all applications across years and experiments is described in Table 2. Polyversum was always activated one hour before application, and the rate was 100 g ha-1 applied in 300 litres of water, using a backpack sprayer (Cooper Pegler 15 EVO) with a working pressure of 3 bar, always in humid weather without intensive sunshine.
Table 1
| Locality | Červený Újezd (Site 1) | Jevíčko (Site 2) | Drválovice (Site 3) | |
|---|---|---|---|---|
| Elevation (m a.s.l.) | 410 | 350 | 460 | |
| GPS coordinate | 50.07207 N 14.17136 E | 49.62904 N 16.72815 E | 49.56745 N 16.65041E | |
| Soil texture and type | clay-loam Haplic Luvisol | deep loam Haplic Luvisol | loamy-sandy Cambisol | |
| Temperature (°C) | 2016 | 9.6 (+1.2)* | – | |
| 2017 | 9.5 (+1.1) | 8.4 (+1.0) | ||
| 2018 | 10.4 (+2.0) | 9.6 (+2.2) | ||
| 2019 | 10.4 (+2.0) | 9.4 (+1.8) | ||
| 2020 | – | 9.1 (+1.5) | ||
| Precipitation (mm) | 2016 | 475 (-27)* | – | |
| 2017 | 492 (-10) | 539 (-6) | ||
| 2018 | 334 (-168) | 401 (-144) | ||
| 2019 | 479 (-23) | 574 (+30) | ||
| 2020 | – | 722 (+178) | ||
Description of localities, annual temperature mean and cumulated precipitation.
*difference to long-term mean (1981 - 2010).
Table 2
| Locality | 2016 | 2017 | 2018 | 2019 | 2020 | |
|---|---|---|---|---|---|---|
| Treatments | Application, sampling and harvest dates | |||||
| Červený Újezd (Site 1) | Autumn | 6 Jun, 28 Oct | 26 Oct | 9 Oct | 9 Oct | – |
| Nr. of app. | 2 | 1 | 1 | 1 | – | |
| Intensive | 6 Jun, 27 July, 28 Oct | 11 Apr, 29 May, 7 Jul, 28 Aug, 26 Oct | 13 Apr, 17 May, 21 Jun, 14 Aug, 9 Oct | 12 Apr, 24 May, 9 Jul, 27 Aug, 9 Oct | – | |
| Nr. of app. | 3 | 5 | 5 | 5 | – | |
| Root sampling Area (cm) | 2 Nov 25 x 12.5 | 14 Nov 50 x 12.5 | 16 Oct 50 x 12.5 | 29 Oct 50 x 12.5 | – | |
| Forage harvest dates | 20 Oct | 18 May, 28 Jun, 17 Aug, 19 Oct | 10 May, 14 Jun, 31 Jul, 9 Oct | 16 May, 27 Jun, 12 Aug, 3 Oct | – | |
| Jevíčko (Site 2) | Spring | – | 3 Jun | 25 May | 11 Jun | – |
| Nr. of app. | – | 1 | 1 | 1 | – | |
| Intensive | – | 3 Jun 3 Nov | 25 May, 15 Oct | 11 Jun, 15 Oct | – | |
| Nr. of app. | – | 2 | 2 | 2 | – | |
| Root sampling Area (cm) | – | 10 Nov 25 x 12.5 | 1 Nov 50 x 12.5 | 1 Nov 50 x 12.5 | – | |
| Forage harvest dates | 20 Jun, 31 Jul, 19 Sep | 4 May, 11 Jun, 19 Jul, 20 Sep | 17 May, 24 Jun, 9 Aug, 24 Sep | – | ||
| Drválovice (Site 3) | Spring/Autumn | – | 23 May | 15 May | 15 Oct | 12 Oct |
| Nr. of app. | – | 1 | 1 | 1 | 1 | |
| Root sampling Area (cm) | – | 14 Nov 50 x 12.5 | 1 Nov 50 x 12.5 | 12 Nov 50 x 12.5 | 18 Nov 100 x12.5 | |
| Forage harvest dates | – | 11 May, 16 Jun, 19Jul, 24 Aug, 11 Oct | 4 May, 1 Jun, 19 Jul, 29 Aug, 9 Oct | 16 May, 25 Jun, 12 Aug, 24 Sep | 18 May, 22 Jun, 14 Aug, 25 Sep | |
Description of treatments, application dates of Polyversum at a dose rate of 100 g ha-1 in Polyversum treatments together with root sampling area and sampling dates, and forage harvest dates for all treatments in the years of the study.
Lucerne root morphology and root disease score
In each plot of all three of the experimental sites, lucerne plants were dug each autumn to a depth of about 20 - 25 cm. The sampling area was increased over time to provide a similar number of plants under the natural decrease of plant density. Sampling dates and size of the root sampling areas are presented in Table 2. Lucerne plant density (PD, plants m-2) was calculated from the number of plants per sample and size of the root sampling area. For each plant, the tap-root diameter below the crown (TD, mm) and lateral root number per plant tap-root (LRN, when diameter larger than 1 mm) were measured. Presence of fine root mass (FRM, when less than 1 mm) was estimated subjectively on a scale of 1 to 5 with scores of 1, 3, and 5 indicating none, moderate and many fine roots, respectively. Washed root samples were oven-dried at 60°C for 48 h and total root dry matter (RDM, g m-2) was calculated based on the size of the sampling area. Plant root disease score (PRDS) was determined subjectively and based on discoloration on a cross-cut of the tap-root. The disease scoring followed : 0 = healthy plant, no discoloration in the root; living plants with root discoloration were scored from 1 to 6 with a score of 1 = 1 to 5%, 2 = 5 - 20%, 3 = 20 - 40%, 4 = 40 - 60%, 5 = 60 - 80%, 6 = 80 - 95% of the area of the tap-root cross-cut; 7 = dead plant. Ratio of infected plants (IP) was calculated from proportion of healthy plants and PRDS is reported as mean of infected plants between treatments or years. At stand level, the percentage of branch-rooted plants (root system with lateral roots developing from the tap root; RB) was calculated per sample. The root potential index (RPI) integrating TD and plant density was calculated according to equation proposed by . For precise detection of root pathogens, root samples (2 x 5 plants per plot) were taken in the autumn of the final year of the experiments. Taproots of five plants were combined, frozen and lyophilized. Quantitative real-time PCR (qPCR) were used for detection of key pathogens in the given environment, i.e. Fusarium oxysporum, F. avenaceum and Verticillium albo-atrum, separately in each sample. Primers were based on known sequences for F. avenaceum (), F. oxysporum () and Verticillium albo-atrum (). All qPCR reactions were set in the Hard-Shell® 96-Well PCR plates (BioRad) in a total volume of 10 µl by mixing 5 µl of gb Easy PCR Master Mix (twofold concentrated, Generi Biotech, Hradec Králové, Czech Republic), 1 µl of each of the qPCR assay mixture (tenfold concentrated), and 3 µl of the target DNA. PCR plate was placed into the heating block of the CFX Connect Real-Time PCR Detection System (BioRad) operated using CFX ManagerTM Software (ver. 3.0, BioRad). The cycling parameters were: 95°C for 3 min (initial denaturation) followed by 50 cycles of 95°C for 10 s (denaturation), and 50°C for 30 s (annealing plus extension). Fluorescence of FAM (λex = 495 nm, λem = 520 nm) and HEX (λex = 535 nm, λem = 556 nm) was monitored during every PCR cycle, after the extension step. The absolute DNA concentration was calculated using the linearized cloned target sequence standards (Generi Biotech, Hradec Králové, Czech Republic).
Harvest management, sampling and measurement of forage structure traits and yield
In the seeding year, 2016, an initial unrecorded cut made in mid-summer was followed by an autumn harvest (at Sites 1 and 3) whilst three cuts were taken at Site 2. In the post-seeding years a four-cut management was applied at Sites 1 and 2, but at Site 3 there were five cuts per year taken in the first two years (2017 and 2018) and a four-cut schedule in 2019 and 2020. All dates of cutting are summarized in Table 2. Before each harvest in the post-seeding years, the compressed stand height (CH, cm) was measured using a metal rising plate meter with disc diameter 0.3 m, area 0.07 m2 and weight 0.2 kg, and six measurements per plot were taken according to . Fresh matter yield was assessed by harvesting 10 m2 in the centre of each plot, to a residual height of 5 cm, using a mower (MF-70, Agrostroj Jičín, Czech Republic) with a working width of 1.4 m. Fresh forage samples of 400-500 g per plot were oven-dried at 103°C for 24 h to determine dry matter content and thus the dry matter yield per m2.
Statistical analysis
Due to different Polyversum treatments, timing of applications and harvests, analyses were done separately within each location. As results from the first two years for Drválovice (Site 3) have been already published (), only the data for years 2019 and 2020 were analysed in the study reported here. The root morphology traits and annual forage yield were analysed by general mixed model (GLM) including effects of treatment, year, block, and treatment × year interaction where plant density was used as a covariate for some analyses. Tap-root diameter was analysed as mean of all individual plants per treatment whereas LRN was averaged only for branch-rooted plants. Data on the proportion of branch-rooted plants and infected plants expressed as percentage were arcsin-transformed, and back-transformed mean values are presented in the results. Plant root disease score calculated at plant level did not meet the assumption of normality (except for Site 3) and was analysed by Kruskal-Wallis ANOVA for treatment and year, followed by multiple comparisons of mean ranks. The compressed stand height values were evaluated by four-way GLM (treatment, year, block, cut) with treatment × year interaction. In all analyses, effect of block was considered as random whereas other factors were considered as fixed. Significant differences between means were reported using the Tukey HSD test at α = 0.05. Correlation between LRN or FRM class and selected root traits at individual plants across sites was quantified using Pearson linear correlation. All these analyses were carried out using the STATISTICA program ().
Results
Annual temperature mean and sum of precipitation for the experimental locations over the evaluated years are presented in Table 1. The monthly precipitation totals and mean temperatures during the growing seasons of 2016 - 2020 are shown in Figure 1. At Site 1, all evaluated years were warmer and drier than the long-term mean values for the locality, but the most severe drought stress was observed in 2018 when the growth period from April to October was not only the warmest (16.8°C) but also driest (210 mm). The driest months in this year were April (14 mm) and July (12 mm). For Sites 2 and 3, all evaluated years were also warmer than the long term mean for the locality, with drought stress in 2018. Precipitation was close to the long-term average in 2017 and 2019, with above-average rainfall in 2020.
Figure 1
Development of root morphology and disease score
For root morphology, a total of 1958 lucerne plants were evaluated, of which 903 were visually detected by root discoloration and 1284 were branch-rooted. The effect of P. oligandrum treatment and year on root traits within the locations of the experiments are shown in Tables 3–5. For Sites 1 and 3, no significant influence of treatments on root traits were observed across the years, but at Site 2 a positive response in the fine root mass was detected for the intensive treatment. At Sites 1 and 2, there was significant year × treatment interaction showing the highest value for plant density in the spring (Site 2) or autumn (Site 3) treatment, relative to the non-treated control, in the seeding year, but there was no impact on forage yield or other root traits, and this effect disappeared in subsequent years (data not shown). For Site 3, the significant interaction showed a higher ratio of branch-rooted plants in the control than in the autumn treatment, but this was associated with higher plant density after Polyversum application in the last year of the experiment.
Table 3
| PD | RPI | IP | RB | RDM | n | TD | FRM | n | PRDS | n | LRN | n | DMY | CH | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Control | 291 | 84 | 33.7 | 59.3 | 366 | 16 | 5.80 | 3.14 | 293 | 2.18 | 100 | 2.17 | 170 | 12.6b | 34.9b | |
| Treatment | Autumn | 334 | 93 | 33.1 | 65.9 | 391 | 16 | 5.96 | 3.07 | 309 | 2.07 | 102 | 2.07 | 191 | 11.8a | 33.4a |
| Intensive | 299 | 90 | 28.1 | 63.2 | 364 | 16 | 5.90 | 2.95 | 307 | 2.05 | 94 | 2.06 | 187 | 11.9a | 33.4a | |
| P | 0.476 | 0.449 | 0.383 | 0.628 | 0.539 | 0.705 | 0.107 | 0.545* | 0.759 | 0.021 | <0.001 | |||||
| 2016 | 348 | 44a | 12.2a | 62.8ab | 361 | 12 | 3.16a | 2.76ab | 149 | 1.71a | 14 | 1.42a | 84 | – | – | |
| 2017 | 303 | 97bc | 39.6b | 73.7b | 369 | 12 | 6.74b | 3.18b | 261 | 1.74a | 100 | 2.65b | 181 | 13.4b | 38.5c | |
| Year | 2018 | 296 | 88b | 30.8b | 44.8a | 374 | 12 | 6.33b | 2.82ab | 254 | 2.67b | 77 | 2.19ab | 117 | 9.6a | 29.6a |
| 2019 | 286 | 114c | 43.9b | 67.8b | 390 | 12 | 7.31d | 3.45c | 245 | 2.28ab | 105 | 2.15ab | 166 | 13.3b | 33.6b | |
| P | 0.497 | <0.001 | <0.001 | <0.001 | 0.228 | <0.001 | <0.001 | 0.006* | <0.001 | <0.001 | <0.001 | |||||
| Cut | - | - | - | - | - | - | - | - | - | - | <0.001 | |||||
| Year × treatment | P | 0.048 | 0.946 | 0.373 | 0.360 | 0.181 | 0.996 | 0.071 | - | 0.339 | 0.522 | 0.514 | ||||
| Density (covariate) | - | - | - | 0.001 | – | <0.001 | 0.016 | - | <0.001 | - | - |
Effect of treatment and year for Site 1 (Červený Újezd) on lucerne plant density (PD, plant m-2), root potential index (RPI), ratio of infected plants (IP, as %), ratio of branch-rooted plants (RB, as %), total root dry matter (RDM, g m-2), tap root diameter (TD, mm), fine root mass score (FRM), plant root disease score of infected plants (PRDS), lateral root number at branch-rooted plants (LRN, pcs plant-1), dry matter yield (DMY, t ha-1) and compressed stand height (CH, cm).
P: F - test probability of three-way (year, treatment, block) or four-way (year, treatment, block, cut) GLM including year × treatment interaction (significant values are in bold), different letters indicate statistical differences between treatments or years according to Tukey HSD test at p < 0.05.
* Kruskal - Wallis ANOVA with differences according to multiple comparisons of mean ranks.
Table 4
| PD | RPI | IP | RB | RDM | n | TD | FRM | n | PRDS | n | LRN | n | DMY | CH | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Control | 259 | 81 | 52.1 | 70.4 | 215 | 12 | 6.47 | 3.32a | 172 | 2.24 | 88 | 2.79 | 118 | 10.3 | 42.0a | |
| Treatment | Spring | 329 | 94 | 51.5 | 64.6 | 208 | 12 | 6.38 | 3.60ab | 224 | 1.74 | 109 | 2.69 | 140 | 10.9 | 42.4a |
| Intensive | 282 | 89 | 54.3 | 67.8 | 214 | 12 | 6.40 | 3.64b | 188 | 1.98 | 102 | 2.99 | 125 | 11.0 | 44.7b | |
| P | 0.170 | 0.528 | 0.880 | 0.994 | 0.970 | 0.919 | 0.008 | 0.105* | 0.549 | 0.366 | <0.001 | |||||
| Year | 2017 | 441c | 101 | 19.3a | 66.8 | 263b | 12 | 5.73 | 3.45b | 188 | 1.49a | 34 | 3.35 | 119 | – | – |
| 2018 | 266b | 85 | 65.4b | 70.0 | 224ab | 12 | 6.09 | 3.82c | 234 | 1.90a | 146 | 2.83 | 157 | 11.4b | 44.7b | |
| 2019 | 163a | 77 | 73.2b | 66.0 | 148a | 12 | 7.44 | 3.29a | 162 | 2.57b | 119 | 2.29 | 107 | 10.1a | 41.4a | |
| P | <0.001 | 0.108 | <0.001 | 0.151 | 0.003 | 0.205 | <0.001 | <0.001* | 0.098 | 0.006 | <0.001 | |||||
| Cut | - | - | - | - | - | - | - | - | - | - | <0.001 | |||||
| Year × treatment | 0.043 | 0.303 | 0.694 | 0.715 | 0.996 | 0.011 | 0.942 | - | 0.666 | 0.866 | 0.986 | |||||
| Density (covariate) | - | – | – | 0.038 | - | 0.163 | 0.007 | - | 0.026 |
Effect of treatment and year for Site 2 (Jevíčko) on lucerne plant density (PD, plant m-2), root potential index (RPI), ratio of infected plants (IP, as %), ratio of branch-rooted plants (RB, as %), total root dry matter (RDM, g m-2), tap root diameter (TD, mm), fine root mass score (FRM), plant root disease score of infected plants (PRDS), lateral root number at branch-rooted plants (LRN, pcs plant-1), dry matter yield (DMY, t ha-1) and compressed stand height (CH, cm).
P: F - test probability of three-way (year, treatment, block) or four-way (year, treatment, block, cut) GLM including year × treatment interaction (significant values are in bold), different letters indicate statistical differences between treatments or years according to Tukey HSD test at p < 0.05.
* Kruskal - Wallis ANOVA with differences according to multiple comparisons of mean ranks.
Table 5
| PD | RPI | IP | RB | RDM | n | TD | FRM | n | PRDS | n | LRN | n | DMY | CH | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Control | 156 | 126 | 73.2 | 82.1 | 349 | 8 | 10.71 | 3.25 | 117 | 2.26 | 84 | 2.71 | 94 | 10.5 | 64.3a | |||
| Treatment | Autumn | 157 | 135 | 65.4 | 75.2 | 370 | 8 | 10.58 | 3.08 | 128 | 2.71 | 78 | 2.63 | 91 | 10.4 | 65.0b | ||
| P | 0.973 | 0.509 | 0.469 | 0.113 | 0.608 | 0.795 | 0.331 | 0.051 | 0.731 | 0.937 | 0.015 | |||||||
| Year | 2019 | 196b | 134 | 67.0 | 77.6 | 351 | 8 | 10.15 | 3.30 | 112 | 2.05a | 74 | 3.08 | 86 | 11.1b | 58.9a | ||
| 2020 | 116a | 127 | 71.6 | 79.7 | 369 | 8 | 10.36 | 3.03 | 133 | 2.91b | 88 | 2.05 | 99 | 9.8a | 70.4b | |||
| Year | 0.011 | 0.589 | 0.660 | 0.242 | 0.685 | 0.990 | 0.532 | <0.001 | 0.072 | <0.001 | <0.001 | |||||||
| Cut | – | – | – | – | – | – | – | – | – | – | – | <0.001 | ||||||
| Year × treatment | 0.182 | 0.529 | 0.196 | 0.004 | 0.647 | 0.168 | 0.265 | - | 0.155 | 0.855 | 0.447 | |||||||
| Density (covariate) | - | – | – | 0.055 | – | <0.001 | 0.494 | - | 0.008 | - | - |
Effect of treatment and third and fourth harvest year for Site 3 (Drválovice) on lucerne plant density (PD, plant m-2), root potential index (RPI), ratio of infected plants (IP, as %), ratio of branch-rooted plants (RB, as %), total root dry matter (RDM, g m-2), tap root diameter (TD, mm), fine root mass score (FRM), plant root disease score of infected plants (PRDS), lateral root number at branch-rooted plants (LRN, pcs plant-1), dry matter yield (DMY, t ha-1) and compressed stand height (CH, cm).
P: F - test probability of three-way (year, treatment, block) or four-way (year, treatment, block, cut) GLM including year × treatment interaction (significant values are in bold), different letters indicate statistical differences between treatments or years according to Tukey HSD test at p < 0.05.
Effect of year on root traits was generally manifested in a decrease in plant density over time followed by increase of tap-root diameter, root potential index, proportion of infected plants, and plant root disease score along with increasing plant age. Branch-rooted plants percentage and fine root mass varied between years but did not show any consistent trends. In contrast to the general pattern for traits development over years, there were some differences among locations. At Site 1 there was no significant decrease in plant density and this site had the lowest proportion of infected plants (average 30%). For the other two sites, tap root diameter increased over time but changes were not significant. The proportion of infected plants associated with root disease score reached values of around 70% in the last two years.
Results of qPCR detected the pathogens Fusarium avenaceum, F. oxysporum, and Verticillium albo-atrum in all sites and the average percentages of positive detections across sites within each treatment were 39, 19 and 13% for non-treated control, autumn and intensive treatment, respectively.
Relationships between root-branching classes, fine root score, tap root diameter, lateral root number, ratio of infected plants and plant disease score are presented in Table 6. Increasing the number of plant lateral roots simultaneously increased tap-root diameter, fine root mass, and proportion of infected plants. Higher fine root score resulted in linear increases in tap-root diameter whereas plant root disease score was improved for plants with fine roots.
Table 6
| RBC | LRN | TD | FRM | IP | n | PRDS | n | FRM class | TD | IP | n | PRDS | n |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 5.87a | 2.86a | 37.18a | 676 | 2.42b | 259 | 1 | 5.96a | 46.36 | 144 | 3.39b | 77 |
| 1 | 1 - 2 | 7.08b | 3.20b | 43.53b | 797 | 1.90a | 367 | 2 | 6.90ab | 43.77 | 336 | 2.27a | 150 |
| 2 | 3 - 4 | 8.63c | 3.35b | 49.78b | 325 | 2.17ab | 167 | 3 | 7.03a | 44.86 | 707 | 2.04a | 308 |
| 3 | ≥5 | 10.91d | 3.81c | 63.74c | 160 | 2.13ab | 110 | 4 | 7.40b | 41.59 | 455 | 1.94a | 201 |
| 5 | 8.52c | 44.41 | 316 | 1.89a | 167 | ||||||||
| P | <0.001 | <0.001 | <0.001 | <0.001* | <0.001 | 0.783 | <0.001* | ||||||
| Year | P | <0.001 | <0.001 | <0.001 | <0.001* | <0.001 | <0.001 | <0.001* | |||||
| Linear effects | 0.43 | 0.19 | 0.16 | 0.09 | 0.19 | 0.01 | -0.11 |
Effect of root branching (RBC) and fine root mass (FRM) class on taproot diameter (TD), fine root mass score (FRM), ratio of infected plants (IP, as %), plant root disease score (PRDS) and lateral root number (LRN) measured as individual plants averaged across all locations and years.
Linear effects represent Pearson correlation coefficients between LRN or FRM class and root traits with values significant at p < 0.05 in bold.
P: F – test probability; two-way ANOVA (year, branching class); different letters indicate statistical differences between classes.
* Kruskal - Wallis ANOVA with differences according to multiple comparisons of mean ranks.
Forage yield and canopy traits
In the seeding year, annual forage yield ranged from 2 t ha-1 for one-cut regime (at Sites 1 and 3) to 6.4 t ha-1 for three-cut regime (at Site 2) although no significant differences between treatments were detected (data not shown). Therefore, Tables 4–6 present only the stand height and yield results from the different harvest years. At Site 1 the forage yield averaged across harvest years was significantly reduced under both of the Polyversum treatments in comparison with the non-treated control. The results for forage yield also corresponded with differences in compressed stand height, with significantly lower values for both Polyversum treatments. In the driest year of the evaluation period (2018) values for forage yield and stand height were lower than in other years. For Sites 2 and 3 no differences in forage yield were detected but the intensive Polyversum treatment at Site 2 and the autumn treatment at Site 3 provided significantly higher values for lucerne stand height.
Discussion
Development of root traits in relation to biological control, year, and fine root score
Application of P. oligandrum, when applied in both the autumn and intensive schedules in the present study, showed no effects on lucerne root disease score when attacked by Fusarium and Verticillium. In several other studies, positive responses to P. oligandrum in terms of root health of crops were observed (; ; ). Among other root traits, only the fine root-mass score was improved under the intensive treatment at Site 2, Jevíčko. These results are in contrast to those for application of P. oligandrum to red clover, where the same treatments were found to support root branching and reduce the plant disease score in the second harvest year () or they resulted in increased total root dry mass and root potential index across years with drought stress, and with simultaneous improvement of plant disease score in the case of autumn treatment (). The different responses of red clover and lucerne may be explained, at least partly, by differences in the aridity of the climate at the experimental sites. The total annual precipitation for the location of the red clover site of (at Větrov, Czechia) was always over 530 mm (range 538 - 701 mm), despite some drought periods, and the annual temperature range was 8.2 - 9.4°C. In the present study, the location of Site 1 (Červený Újezd) had annual precipitation below 500 mm in all years of evaluation (334 - 492 mm) with annual mean temperatures in the range 9.5 - 10.4°C. At the more humid location of Jevíčko (Site 2) with alluvial soil and rainfall over 500 mm (except in 2018) there was a positive effect of P. oligandrum on the fine-root score under the intensive treatment. In Drválovice (Site 3 in the present study) with loamy-sandy soil, observed at this same location an increased proportion of infected lucerne plants after spring P. oligandrum application, but only for the relatively dry year of 2018 (401 mm and 9.6°C). In two subsequent years rainfall was 574 and 722 mm and no negative effects were observed. These results suggest that responses to P. oligandrum application depend on the combined environmental effects of soil and weather, rather than on differences in the responses by lucerne and red clover.
Root development over successive years of the experiments followed general patterns observed previously, including increase in tap-root diameter or root branching with plant age (). The negative effect of drought on root development was visible especially for Site 1, at the driest location of Červený Újezd, where tap-root increase was strongly reduced with a final value of around 7 mm. This contrasts with the 12 mm reported by for comparable plant age at the same location. Effect of the dry year 2018 on tap-root diameter was also obvious at Jevíčko and Drválovice (Sites 2 and 3) (). It demonstrates that the severe drought stress that occurred during this experiment could be considered as a significant factor in not only reducing forage yield and the potential for a biological control effect, but also in terms of its impact on development of root traits and their subsequent agronomic stand performance, in line with .
The positive impact of higher fine-root score on root disease resistance, as presented in Table 6, generally supports a pattern about existing relationships between root traits and disease infection. Similar positive effects of fine-root mass on root disease score were observed for red clover by , and reported improved Fusarium wilt resistance for a lucerne population selected for fibrous root mass, together with increased forage yield. According to , a higher value for lateral root number was positively correlated with higher disease score of lucerne plants, although results from the present study show that this phenomenon is related more to an increasing proportion of infected plants than to a higher root disease score of the infected plants. It seems that the presence of fine roots has a positive role here, which was associated mainly with improved disease score of infected plants. However, it should be remembered that although this trait could be effective for selection (), fine root mass and lateral root number are correlated with each other () and there are also a number of seasonal patterns affecting the presence of fine roots, such as soil temperature and carbohydrate supply ().
Effect of Pythium oligandrum on forage yield in association with root morphology
Across the three experiments with lucerne reported here, our results showed that application of P. oligandrum did not provide a positive yield response, and that at the warmest and driest location the forage yield was even slightly reduced (by 6%) together with reduced stand height. In more humid environments, a positive effect of either the intensive or autumn application on stand height was observed but this advantage was not realised in any significant forage yield improvement. The positive effect is consistent with the beneficial effects of root colonization by P. oligandrum on crop growth promotion as described by or . In line with , the greater stand height could not be attributed fully to the improved root traits at Site 2 (Jevíčko), because greater stand height was observed also at Site 3 (Drválovice) where there was no effect on roots. We may conclude, therefore, that the observed positive effect of P. oligandrum on lucerne forage growth was not related to root traits. The efficacy of P. oligandrum was driven by environmental conditions, in which colder and more humid conditions promote a positive response when recorded in the field. This further emphasises the importance of temperature and other aspects of weather during the growing season on the activity and efficiency of P. oligandrum (; ).
Apart from the effect of humidity on P. oligandrum activity, some negative effects of biological control on crop biomass accumulation in early stages of growth have been reported (), in which there was a negative effect on crop roots and aboveground biomass especially when the pathogen was not inoculated along with biological control. This could also be relevant in the present study, where there was a negative effect of P. oligandrum at the location with the lowest ratio of infected plants, whereas some positive effects (on fine root mass score, stand height) were observed in both locations with the proportion of infected plants around 70%. In previous work, a positive response of red clover was also reported under high pressure of root diseases, where about 90% of plants were positively scored for root discoloration in the last year of the field experiments (; ). However, the effect of higher plant infection cannot be easily separated from the temperature-precipitation relationship. Nevertheless, we can speculate that reduced attack by soil pathogens could also have some association with the observed negative effects on lucerne stand height and yield performance.
Results of two independent field experiments with red clover suggest that the stimulation effect of P. oligandrum on stand height played a more important role in increased vegetative biomass yield than through a direct protection against fungal diseases or root traits improvement (; ). The results for lucerne reported here are in line with those previous findings, as autumn or spring + autumn applications of P. oligandrum per year were associated with increased stand height without any response in the ratio of infected plants and root disease score. However, either a single autumn, or two applications, were not sufficient for significant yield enhancement, and the single spring application did not provide any significant effect, in line with the suggestion of about the need to optimize the application timing over the second half of the growing season. An important result here could be a negative lucerne yield response on this potential stimulation under the relatively dry environment. considered that the stimulation of red clover is related to the ability of P. oligandrum to synthesize tryptamine in direct interaction with plant roots, and root absorption of this newly formed auxin-compound in appropriate concentrations has been associated with enhancement of plant growth, in line with or . Although auxins stimulate plant growth and also could be beneficial for plant defence to drought stress (; ; ) it must be remembered that sustaining growth under unfavourable conditions could be detrimental (). Pythium oligandrum also activates the plant defence system through production of oligandrin and the cell-wall protein fraction which appear to be closely involved in activation of the jasmonic acid and ethylene dependent signalling pathways (). Ethylene has an important role in regulation of organ growth and yield under abiotic stress () therefore its imbalance could be also responsible for reduced lucerne growth and yield. This field-based study clearly demonstrated that application of P. oligandrum under drought stress did not support lucerne root development and it may even affect forage production negatively, probably due to the imbalance between auxins and ethylene.
These relationships between the legume plant and P. oligandrum can also be largely influenced by the total plant microbiome, where plant–microbiome interactions are significant determinant for plant growth, fitness and productivity (). Understanding the plant microbiome interactions within the microbial community can contribute to hypotheses about why biological control is inconsistent in promoting or reducing crop growth () Understanding the mechanisms linked to the positive effects of beneficial fungi is also essential for achieving favourable outcomes and development of novel strategies (). In field conditions, these relationships are further complicated by interactions with environment, where results of biological control of crop diseases are more variable in comparison with the controlled conditions of glasshouse or laboratory studies (; ).
It can be summarized that under the relatively dry climate with mean temperature close 10°C and annual total precipitation below 500 mm, there was reduced potential of P. oligandrum for improvement of lucerne root traits, disease score or forage yield and where even a negative effect on crop growth has been observed. This negative response could be probably associated with inappropriate stimulation or disturbance of the balance between auxins and ethylene, and which seems to be mitigated on deep, more humid soils. Under conditions with annual precipitation over 500 mm, the positive impact on fine root mass score and stand height was observed for the autumn and intensive treatments but this advantage was not realised in significantly increased yield. Therefore, we conclude that although there is some potential for P. oligandrum for lucerne productivity improvement, this is most likely to be realised only under conditions of relatively humid environments or under irrigation, where higher root disease infestation by Fusarium or Verticilium may also be expected, and as found previously for red clover, more applications per year will be needed for forage yield improvement. Further research is also needed in plant-microbiome interactions in association with biological control agents which could be essential for development of effective strategies of crop biological control.
Statements
Data availability statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
Author contributions
MP: writing-original draft, data analysis, preparation, writing-review and editing. JH: conceptualization, investigation, writing-original draft, supervising, editing OS: investigation, writing-review PN: editing. All authors contributed to the article and approved the submitted version.
Funding
This research was supported by project TJ01000150 of Technology Agency of the Czech Republic and the Ministry of Agriculture of the Czech Republic CZE MZe RO 0418. The completion of the paper was supported by “S” grant of MŠMT ČR.
Acknowledgments
We sincerely thank Pavel Cihlář and Jaroslav Tomášek for field assistance.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1
ÖhbergH.BangU. (2010). Biological control of clover rot on red clover by Coniothyrium minitans under natural and controlled climatic conditions. Biocontrol Sci. Technol.20 (1), 25–36. doi: 10.1080/09583150903337805
2
AbbasA.MubeenM.SohailM. A.SolankiM. K.HussainB.NosheenS.et al. (2022). Root rot a silent alfalfa killer in China: Distribution, fungal, and oomycete pathogens, impact of climatic factors and its management. Front. Microbiol.13, 961794. doi: 10.3389/fmicb.2022.961794
3
AhemadM.KhanM. S. (2013). Pesticides as antagonists of rhizobia and the legume-rhizobium symbiosis: a paradigmatic and mechanistic outlook. Biochem. Mol. Biol.1, 63–75. doi: 10.12966/bmb.12.02.2013
4
BakerB. P.GreenT. A.LokerA. J. (2020). Biological control and integrated pest management in organic and conventional systems. Biol. Control140, 104095. doi: 10.1016/j.biocontrol.2019.104095
5
Baturo-CieśniewskaA.ŁukanowskiA.KoczwaraK.LencL. (2018). Development of sclerotinia sclerotiorum (Lib.) de bary on stored carrot treated with pythium oligandrum drechsler determined by qPCR assay. Acta Sci. Pol. Hortorum Cultus17 (5), 111–121. doi: 10.24326/asphc.2018.5.10
6
BělonožníkováK.VaverováK.VaněkT.KolaříkM.HýskováV.VaňkováR.et al. (2020). Novel insights into the effect of pythium strains on rapeseed metabolism. Microorganisms8 (10), 1472. doi: 10.3390/microorganisms8101472
7
BenhamouN.ReyP.PicardK.TirillyY. (1999). Ultrastructural and cytochemical aspects of the interaction between the mycoparasite Pythium oligandrum and soilborne plant pathogens. Phytopathology89 (6), 506–517.
8
BenhamouN.leFlochG.VallanceJ.GerboreJ.GrizardD.ReyP. (2012). Pythium oligandrum: an example of opportunistic access. Microbiology158 (11), 2679–2694. doi: 10.1099/mic.0.061457-0
9
BerendsenR. L.PieterseC. M.BakkerP. A. (2012). The rhizosphere microbiome and plant health. Trends Plant Sci.17 (8), 478–486. doi: 10.1016/j.tplants.2012.04.001
10
BinyaminR.NadeemS. M.AkhtarS.KhanM. Y.AnjumR. (2019). Beneficial and pathogenic plant-microbe interactions: A review. Soil Environ.38 (2), 11–33. doi: 10.25252/SE/19/71659
11
BočekS.SalašP.SaskováH.MokričkováJ. (2012). Effect of alginure (seaweed extract), myco-sin VIN (sulfuric clay) and polyversum (Pythium oligandrum drechs.) on yield and disease control in organic strawberries. Acta Univ. Agric. Silviculturae Mendelianae Brunensis8, 19–28. doi: 10.11118/actaun201260080019
12
CampbellR. (1994). Biological control of soil-borne diseases: some present problems and different approaches. Crop Prot.13 (1), 4–13. doi: 10.1016/0261-2194(94)90129-5
13
DuboisM.Van den BroeckL.InzéD. (2018). The pivotal role of ethylene in plant growth. Trends Plant Sci.23 (4), 311–323. doi: 10.1016/j.tplants.2018.01.003
14
GeorgievaN.NikolovaI.DelchevG. (2020). Response of spring vetch (Vicia sativa l.) to organic production conditions. Bulg. J. Agric. Sci.26 (3), 520–526.
15
GerboreJ.BenhamouN.VallanceJ.leFlochG.GrizardD.Regnault-RogerC.et al. (2014). Biological control of plant pathogens: Advantages and limitations seen through the case study of Pythium oligandrum. Environ. Sci. pollut. Res.21 (7), 4847–4860. doi: 10.1007/s11356-013-1807-6
16
GhorbanpourM.OmidvariM.Abbaszadeh-DahajiP.OmidvarR.KarimanK. (2018). Mechanisms underlying the protective effects of beneficial fungi against plant diseases. Biol. Control117, 147–157. doi: 10.1016/j.biocontrol.2017.11.006
17
GrayF. A.KochD. W. (2004). Influence of late season harvesting, fall grazing, and fungicide treatment on verticillium wilt incidence, plant density, and forage yield of alfalfa. Plant Dis.88 (8), 811–816. doi: 10.1094/PDIS.2004.88.8.811
18
GuptaR.AnandG.GaurR.YadavD. (2021). Plant–microbiome interactions for sustainable agriculture: a review. Physiol. Mol. Biol. Plants27 (1), 165–179. doi: 10.1007/s12298-021-00927-1
19
HaegiA.CatalanoV.LuongoL.VitaleS.ScottonM.FiccadentiN.et al. (2013). A newly developed real-time PCR assay for detection and quantification of fusarium oxysporum and its use in compatible and incompatible interactions with grafted melon genotypes. Phytopathology103 (8), 802–810. doi: 10.1094/PHYTO-11-12-0293-R
20
HaklJ.HrevušováZ.HejcmanM.FuksaP. (2012). The use of a rising plate meter to evaluate lucerne (Medicago sativa l.) height as an important agronomic trait enabling yield estimation. Grass Forage Sci.67 (4), 589–596. doi: 10.1111/j.1365-2494.2012.00886.x
21
HaklJ.PisarčikM.FuksaP.ŠantrůčekJ. (2021). Potential of lucerne sowing rate to influence root development and its implications for field stand productivity. Grass Forage Sci.76 (3), 378–389. doi: 10.1111/gfs.12546
22
HaklJ.PisarčikM.HrevušováZ.ŠantrůčekJ. (2017). In-field lucerne root morphology traits over time in relation to forage yield, plant density, and root disease under two cutting managements. Field Crops Res.213, 109–117. doi: 10.1016/j.fcr.2017.07.017
23
HandelsmanJ.RaffelS.MesterE. H.WunderlichL.GrauC. R. (1990). Biological control of damping-off of alfalfa seedlings with bacillus cereus UW85. Appl. Environ. Microbiol.56 (3), 713–718. doi: 10.1128/aem.56.3.713-718.1990
24
HwangS. F.GossenB. D.TurnbullG. D.ChangK. F.HowardR. J. (2002). Seedbed preparation, timing of seeding, fertility and root pathogens affect establishment and yield of alfalfa. Can. J. Plant Sci.82 (2), 371–381. doi: 10.4141/P01-121
25
JenkynJ. F. (1975). The effect of benomyl sprays on sclerotinia trifoliorum and yield of red clover. Ann. Appl. Biol.81 (3), 419–423. doi: 10.1111/j.1744-7348.1975.tb01660.x
26
JonesC. R.SamacD. A. (1996). Biological control of fungi causing alfalfa seedling damping off with a disease-suppressive strain of streptomyces. Biol. Control7 (2), 196–204. doi: 10.1006/bcon.1996.0084
27
KorverR. A.KoevoetsI. T.TesterinkC. (2018). Out of shape during stress: a key role for auxin. Trends Plant Sci.23 (9), 783–793. doi: 10.1016/j.tplants.2018.05.011
28
LambJ. F. S.BarnesD. K.HenjumK. I. (1999). Gain from two cycles of divergent selection for root morphology in alfalfa. Crop Sci.39 (4), 1026–1035. doi: 10.2135/cropsci1999.0011183X003900040011x
29
LambJ. F. S.SamacN. A.BarnesD. K.HenjumK. I. (2000). Increased herbage yield in alfalfa associated with selection fibrous and lateral roots. Crop Sci.40 (3), 693–699. doi: 10.2135/cropsci2000.403693x
30
LarkinR. P.EnglishJ. T.MihailJ. D. (1995). Effects of infection by pythium spp. on root system morphology of alfalfa seedlings. Phytopathology85 (4), 430–435. doi: 10.1094/Phyto-85-430
31
LarkinR. R.EnglishJ. T.MihailJ. D. (1996). The relationship of infection by pythium spp. to root system morphology of alfalfa seedlings in the field. Plant Dis.80, 281–285. doi: 10.1094/PD-80-0281
32
LeathK. T.ZeidersK. E.ByersR. A. (1973). Increased yield and persistence of red clover after a soil drench application of benomyl 1. Agron. J.65 (6), 1008–1010. doi: 10.2134/agronj1973.00021962006500060052x
33
Le FlochG.ReyP.BenizriE.BenhamouN.TirillyY. (2003). Impact of auxin-compounds produced by the antagonistic fungus Pythium oligandrum or the minor pathogen pythium group f on plant growth. Plant Soil257 (2), 459–470. doi: 10.1023/A:1027330024834
34
LiuL.GuoG.WangZ.JiH.MuF.LiX. (2014). “Auxin in plant growth and stress responses,” in Phytohormones: A window to metabolism, signaling and biotechnological applications. (New York, NY: Springer). 1–35.
35
LuoY.MeyerhoffP. A.LoomisR. S. (1995). Seasonal patterns and vertical distributions of fine roots of alfalfa (Medicago sativa l.). Field Crops Res.40 (2), 119–127. doi: 10.1016/0378-4290(94)00090-Y
36
MaurerK. A.RadišekS.BergG.SeefelderS. (2013). Real-time PCR assay to detect verticillium albo-atrum and v. dahliae in hops: development and comparison with a standard PCR method. J. Plant Dis. Prot.120 (3), 105–114. doi: 10.1007/BF03356461
37
McGeheeC. S.RaudalesR. E.ElmerW. H.McAvoyR. J. (2019). Efficacy of biofungicides against root rot and damping-off of microgreens caused by pythium spp. Crop Prot.121, 96–102. doi: 10.1016/j.cropro.2018.12.007
38
McKennaP.CannonN.ConwayJ. (2018). Soil mineral nitrogen availability predicted by herbage yield and disease resistance in red clover (Trifolium pratense) cropping. Nutr. Cycl. Agroecosys.112 (3), 303–315. doi: 10.1007/s10705-018-9947-1
39
Miller-GarvinJ. E.ViandsD. R. (1994). Selection for resistance to fusarium root rot, and associations among resistances to six diseases in alfalfa. Crop Sci.34 (6), 1461–1465. doi: 10.2135/cropsci1994.0011183X003400060008x
40
MorsyK. M.Abdel-MonaimM. F.MazenM. M. (2011). Use of abiotic and biotic inducers for controlling fungal diseases and improving growth of alfalfa. World J. Agric. Sci.7 (5), 566–576.
41
NanZ. B.SkippR. A.LongP. G. (1991). Use of fungicides to assess the effects of root disease: effects of prochloraz on red clover and microbial populations in soil and roots. Soil Biol. Biochem.23 (8), 743–750. doi: 10.1016/0038-0717(91)90144-9
42
NikolovaI.GeorgievaN.NaydenovaY. (2015). Forage quality in Pisum sativum, treated by biological and synthetic active compounds. Plant Sci.52 (5), 94–98.
43
O’BrienP. A. (2017). Biological control of plant diseases. Australas. Plant Pathol.46 (4), 293–304. doi: 10.1007/s13313-017-0481-4
44
Ouhaibi-BenA. N.VallanceJ.GerboreJ.YacoubA.Daami-RemadiM.ReyP. (2021). Combining potential oomycete and bacterial biocontrol agents as a tool to fight tomato rhizoctonia root rot. Biol. Control155, 104521. doi: 10.1016/j.biocontrol.2020.104521
45
PharandB.CarisseO.BenhamouN. (2002). Cytological aspects of compost-mediated induced resistance against fusarium crown and root rot in tomato. Phytopathology92 (4), 424–438. doi: 10.1094/PHYTO.2002.92.4.424
46
PisarčikM.HaklJ.HrevušováZ. (2020). Effect of Pythium oligandrum and poly-beta-hydroxy butyric acid application on root growth, forage yield and root diseases of red clover under field conditions. Crop Prot.127, 104968. doi: 10.1016/j.cropro.2019.104968
47
PisarčikM.HaklJ.MenšíkL.SzáboO.NerušilP. (2019). Biological control in lucerne crops can negatively affect the development of root morphology, forage yield and quality. Plant Soil Environ.65 (10), 477–482. doi: 10.17221/398/2019-PSE
48
PisarčikM.HaklJ.SzabóO.HrevušováZ. (2021). Efficacy of variable timing of pythium oligandrum applications on red clover grown under field conditions. Crop Prot.149, 105780. doi: 10.1016/j.cropro.2021.105780
49
RidayH. (2010). Progress made in improving red clover (Trifolium pratense l.) through breeding. Int. J. Plant Breed.4 (1), 22–29.
50
SedmanJ. N.BastianC. T.HeldL. J.GrayF. A.KochD. W. (2007). An economic analysis of alfalfa harvest methods when infested with verticillium wilt. Agron. J.99 (6), 1635–1639. doi: 10.2134/agronj2007.0010
51
StatSoft, Inc (2012). Statistica for windows (Tulsa, USA: StatSoft).
52
WaalwijkC.HeideR. V. D.VriesI. D.LeeT. V. D.SchoenC.CorainvilleG. C. D.et al. (2004). “Quantitative detection of fusarium species in wheat using TaqMan,” in Molecular diversity and PCR-detection of toxigenic fusarium species and ochratoxigenic fungi (Dordrecht: Springer), 481–494.
53
XiaoK.KinkelL. L.SamacD. A. (2002). Biological control of phytophthora root rots on alfalfa and soybean with streptomyces. Biol. Control23 (3), 285–295. doi: 10.1006/bcon.2001.1015
54
YangC.HamelC.VujanovicV.GanY. (2011). Fungicide: modes of action and possible impact on nontarget microorganisms. Int. Sch. Res. Not.2011, 1–8. doi: 10.5402/2011/130289
55
YouX.BarraudJ.TojoM. (2019). Suppressive effects of Pythium oligandrum on soybean damping off caused by P. aphanidermatum and P. myriotylum. Annu. Rep. Kansai Plant Prot. Soc.61, 9–13. doi: 10.4165/kapps.61.9
56
ZhangQ.LiJ.ZhangW.YanS.WangR.ZhaoJ.et al. (2012). The putative auxin efflux carrier OsPIN3t is involved in the drought stress response and drought tolerance. Plant J.72 (5), 805–816. doi: 10.1111/j.1365-313X.2012.05121.x
Summary
Keywords
alfalfa, Medicago sativa, plant growth promotion, Polyversum, dry conditions
Citation
Pisarčik M, Hakl J, Szabó O and Nerušil P (2022) Efficacy of Pythium oligandrum on improvement of lucerne yield, root development and disease score under field conditions. Front. Plant Sci. 13:1045225. doi: 10.3389/fpls.2022.1045225
Received
15 September 2022
Accepted
21 November 2022
Published
06 December 2022
Volume
13 - 2022
Edited by
Sabine Banniza, University of Saskatchewan, Canada
Reviewed by
Ram B. Khadka, Nepal Agricultural Research Council, Nepal; Amitava Rakshit, Banaras Hindu University, India
Updates
Copyright
© 2022 Pisarčik, Hakl, Szabó and Nerušil.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original fpls.2022.1045225author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Martin Pisarčik, pisarcik@af.czu.cz
This article was submitted to Plant Pathogen Interactions, a section of the journal Frontiers in Plant Science
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.