1. Introduction
Industrial hemp (
Cannabis sativa L.) is one of the earliest domesticated crops, historically cultivated for fiber, food, and medical uses worldwide [
1]. In the United States, production declined sharply in the mid-20th century due to marijuana-related regulations, resulting in a prolonged gap in agronomic research and production knowledge. The resurgence of hemp cultivation after removal from the Schedule I controlled substances list under the 2018 Farm Bill has highlighted its potential contributions to sustainable agriculture, environmentally friendly manufacturing, soil health, and rural economic development, particularly in Tennessee. However, modern production remains constrained by strict federal compliance requirements, vulnerability to pests and diseases, and limited region-specific agronomic information.
Current federal regulations define industrial hemp as
Cannabis sativa plants containing no more than 0.3% tetrahydrocannabinol (THC) on a dry weight basis [
2,
3]. Plants exceeding this threshold are legally classified as marijuana [
4]. Industrial hemp is a multipurpose crop with three major categories of use: fiber, grain, and cannabinoids. Fiber cultivars are the tallest, and are harvested at flowering [
5,
6], for fiber used in paper, building materials, textiles, biocomposites, animal bedding, and biofuels [
7]. Grain cultivars are shorter and grown for seed rich in omega-3 and omega-6 fatty acids, γ-linoleic acid, and antioxidants, with extracted oil utilized in food, biofuel, nutritional supplements, and cosmetics [
6,
7]. Floral cultivars are bred specifically for cannabinoid production, particularly cannabidiol (CBD) and THC, and now dominate production in Tennessee [
8].
Cannabidiol (CBD) is one of the many cannabinoids, a class of plant-derived terpenophenolic compounds found in marijuana and industrial hemp that exert distinct physiological effects in humans. The best-known cannabinoid is the psychoactive delta-9 THC. Interest in CBD has increased substantially because of its documented therapeutic potential [
9], including applications in epilepsy management [
10,
11,
12], depression and anxiety disorders [
13,
14] and pain relief [
15]. Ongoing research continues to evaluate additional medical uses. Continued research is needed to optimize production systems and support long-term economic viability.
The interaction between CBD and THC biosynthesis in hemp remains poorly understood. Anecdotal evidence suggests an inverse relationship in which higher concentrations of one compound may coincide with lower concentrations of the other, a dynamic that is important for guiding agronomic and breeding strategies to optimize cannabinoid profiles. Although high-yielding CBD cultivars are desirable, biotic and abiotic stresses can trigger THC spikes and increase the risk of regulatory non-compliance. Preliminary studies indicate that drought, flooding, nutrient imbalances, heat, and cold may elevate THC concentrations [
16], yet results remain inconsistent. For example, De Prato, Ansari [
17] reported that daylength, temperature and nitrogen strongly influence hemp development and cannabinoid production, whereas Sikora, Berenji [
18] found that soil temperature increased CBD production without affecting THC. Toth, Smart [
19] observed no effects of flooding, powdery mildew, herbicides, or physical injury on CBD or THC, though temperature interactions were not tested. Further research is therefore needed to clarify how environmental conditions influence cannabinoid composition and regulatory compliance.
Although cannabinoids are present throughout hemp tissues, they are concentrated primarily in the glandular trichomes of female inflorescences [
20]. Unfertilized female flowers accumulate higher cannabinoid concentrations than pollinated flowers [
2], which is why commercial CBD production relies on feminized seed or clonal propagation systems, with routine scouting to remove male plants.
Hemp is a dioecious, annual, photoperiod-sensitive species [
6,
21,
22], with a life cycle of approximately four to eight months, and harvest timing strongly influences both yield and cannabinoid composition. Maximum CBD concentrations are often achieved at about nine weeks of flowering [
23], while THC generally continues to increase with plant age, prompting early harvest to avoid regulatory violations. However, the influence of planting date on cannabinoid yield, THC compliance, and pest or disease incidence remains poorly understood, particularly under varying soil temperatures and environmental conditions.
Diseases, insect pests, and weeds are major constraints to hemp production [
24], a challenge exacerbated by the limited number of pesticides registered for use in hemp. In the southeastern United States, high humidity favors disease development, and substantial yield losses have been reported by Tennessee growers [
25]. Among the most economically damaging problems are southern blight, leaf spot, and corn earworm [
25]. Southern blight, caused by the soil-borne fungus
Sclerotium rolfsii, is particularly destructive in hot, humid regions, including Tennessee [
25,
26,
27]. The pathogen has an exceptionally broad host range, infecting more than 500 plant species across over 100 plant families, including tomato, potato, pepper, eggplant, and cucurbit crops [
28,
29,
30].
The southern blight pathogen is characterized by rapid growth and prolific production of sclerotia, which can persist for many years in surface soils and serve as a continuous source of inoculum in rotational systems [
31]. Early symptoms include wilting, decline, and dieback, typically beginning as a water-soaked lesion at the crown near the soil surface. The lesion rapidly girdles the stem, disrupting nutrient transport and causing plant collapse and death [
32]. The pathogen survives as sclerotia or mycelium on plant debris and spreads through irrigation water, infested soil, infected transplants, and contaminated equipment [
33].
Effective fungicides approved for control of southern blight in hemp are very limited. Currently, the biofungicide Defguard
® (
Bacillus amyloliquefaciens) is the only registered product [
33]. As such, an integrated disease management strategies are essential and include the use of disease-free planting material, avoidance of stem and root injuries, exclusion of infested fields, routine scouting, prompt removal of diseased plants, sanitation of equipment, and deep plowing to bury infested debris and reduce surface inoculum.
Southern blight development is favored by high soil moisture and warm temperatures between 27 and 35°C [
33]. Black plastic mulch with drip irrigation, widely used in floral hemp production for weed control, can further elevate soil temperatures and intensify disease risk. Despite this, plastic mulch remains common because of the lack of herbicides approved for hemp. In contrast, straw mulch conserves soil moisture, reduces evaporation and erosion, and moderates soil temperature extremes [
34,
35,
36]. To date, no study has evaluated the combined effects of planting date, mulch type, and biofungicide application on southern blight development, weed pressure, and cannabinoid production in hemp.
The objectives of this study were therefore to evaluate the combined effects of planting date, mulching practice (plastic vs. straw), and biofungicide application on southern blight incidence, weed suppression, cannabinoid production, THC concentration, and overall plant performance. We hypothesized that:
- a)
straw mulch would reduce southern blight severity compared to black plastic mulch,
- b)
earlier planting would reduce southern blight incidence and enhance plant growth and CBD yield,
- c)
the combination of straw mulch and early planting would produce the greatest reduction in disease and the most favorable growth conditions,
- d)
both straw and plastic mulch would suppress weeds, with plastic providing the greatest suppression,
- e)
application of Bacillus amyloliquefaciens (Defguard®) would reduce disease severity relative to untreated controls, and
- f)
early planting would increase CBD concentration due to extended vegetative growth and more favorable environmental conditions.
2. Materials and Methods
Field experiments were conducted in 2022 and repeated in 2023 at the Tennessee State University Research and Agricultural Experiment Centre (TSU AREC) in Nashville (36°10'34.0"N 86°49'36.5"W) to determine the effect of mulches and planting time on managing southern blight and enhancing industrial floral hemp production. Soil at the study site was classified as Armour and Byler loam with a pH of 6.07 and 1.13% organic matter [
37].
The study followed a randomized complete block design (RCBD) with four replications. Treatments combined three planting dates, mulching practice (black plastic, straw, or no mulch), and application of a biological fungicide (Bacillus amyloliquefaciens strain D747; Defguard®). Independent variables included planting date, mulch, and fungicide, while response variables were southern blight disease incidence and severity, weed density and biomass, plant height and total biomass, soil temperature, chlorophyll content, and cannabinoid composition. Blocks were arranged to account for field variability.
Fields were disked and then rotavated to approximately 14 cm depth to incorporate residues. Beds were raised using a tractor-mounted plastic layer that simultaneously installed black polyethylene mulch and drip irrigation lines where assigned. Straw mulch was unrolled manually from large round bales across designated plots. Each plot measured 1.5 m in width and 9.1 m in length, with mulch applied before transplanting. Feminized CBD hemp (‘Fukuoka’) seedlings were used. Immediately before transplanting, seedlings assigned to the fungicide treatment were root-dipped in a suspension of 14.78 mL Defguard® per 1895 mL water, following the product label. Control plants were dipped in water only before planting.
Weather data were obtained from the on-site station. During the cropping period (approximately May to November), weekly mean maximum temperatures ranged from 26.8 to 31.3 °C (mean 29.3 °C) and minimum temperatures from 23.0 to 26.0 °C (mean 24.5 °C). Relative humidity ranged from 72.8% to 78.5% and total rainfall was approximately 109 mm. Conditions were comparable between years.
Plant height was measured from the soil surface to the apical meristem during early vegetation and maturity, recorded in centimeters on 10 randomly selected plants per plot. Soil temperature was monitored in each treatment at 5 cm depth using a Comark T125, 2.54 cm dial-type thermometer, with two random readings per plot. Weed density and biomass were sampled at 4–5 weeks after planting using a 0.25 m² quadrat. All aboveground weeds within the quadrat were clipped at the soil surface, counted, and weighed fresh. Samples were then oven-dried to constant weight and reweighed to determine dry biomass. Southern blight severity was visually assessed every two weeks based on typical symptoms (crown and basal lesions, white mycelial growth, leaf yellowing, wilting, and dieback), with incidence recorded simultaneously, on a scale of 0-100, with plants assessed to have died from the pathogen rated as 100% diseased.
Chlorophyll content was assessed in 2023 only, because a SPAD meter was not available in 2022. In 2023, chlorophyll readings were taken with a Minolta SPAD-502 DL at approximately 30, 60, and 90 days after planting. Three plants were selected randomly from each net plot, and eight leaves were measured per plant (four from the lower canopy and four from the mid-to-upper canopy). Readings were averaged to the plant and plot levels.
At harvest, two whole plants per plot were cut at the stem base and weighed immediately to obtain fresh biomass. Plants were then hung upside down in a dark, ventilated room to cure for approximately four weeks. After curing, plants were reweighed to determine dry biomass. Floral material and leaves were manually stripped from dried stems, bagged, and stored at low temperature for subsequent analysis. Dried floral subsamples were homogenized and analyzed for cannabinoid content by New Bloom Labs (Chattanooga, TN).
2.1. Statistical Analysis
Because 2022 served as a preliminary trial year with fewer variables measured, data from 2022 and 2023 were analyzed separately. Mixed-effects models were fitted in R (R Core Team, 2021) using the nlme package [
38], with planting date, mulch, and fungicide as fixed factors and block as a random factor. Where applicable, sampling date was included as a repeated measure. Treatment means were separated using least significant difference (LSD) tests at α = 0.05 with the agricolae package [
39]. In addition to the ANOVA, Spearman’s rank correlation analysis was conducted to assess the relationship between chlorophyll content (SPAD) and disease severity (DS). Spearman’s rank correlation coefficient (ρ) was used to assess the strength and direction of monotonic associations between disease severity and chlorophyll content (SPAD). The coefficient (ρ) ranges from –1 to +1, where values close to ±1 indicate strong relationships and values near 0 indicate weak or no association. For interpretation, correlation strength was classified following Evans [
40]: ρ = ±0.00–0.39, weak; ±0.40–0.69, moderate; and ±0.70–1.0, strong. Statistical significance (
p < 0.05) indicates that the observed association is unlikely due to chance, even when the effect size is small.
5. Conclusions
This study demonstrates that planting time and mulch type strongly influence southern blight severity, chlorophyll content, plant growth, and cannabinoid accumulation in hemp production systems in Tennessee. Early planting consistently enhanced plant vigor, chlorophyll content, biomass accumulation, and cannabinoid concentrations, primarily due to extended vegetative growth and longer exposure to favorable photoperiod and temperature conditions. Straw mulch moderated soil temperature and reduced disease severity compared to black plastic and bare soil, contributing to improved plant performance across growing seasons.
The combined effects of early planting and straw mulch highlight the value of cultural practices that optimize both soil microclimate and plant physiological responses. In contrast, fungicide application with Bacillus amyloliquefaciens (Defguard®) played a secondary role and was less effective than cultural measures in influencing plant health and disease outcomes. Collectively, these results emphasize that management strategies integrating optimal planting time and organic mulch can reduce disease incidence, stabilize soil temperature, and enhance both yield and quality of hemp grown under warm, humid conditions.
Further research is needed to refine these relationships by evaluating long-term impacts of mulch type and planting time on soil microbial activity, sclerotia persistence, and cannabinoid stability across cultivars and environmental conditions. Such studies will be critical for developing sustainable, integrated approaches to disease management and production optimization in emerging hemp production systems of the southeastern United States.
Figure 1.
Average percent southern blight disease severity of floral hemp grown under three mulch treatments (black plastic, straw mulch, and no-mulch control) at three different planting times (1, 2, and 3) in 2022 at the Tennessee State University research farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 1.
Average percent southern blight disease severity of floral hemp grown under three mulch treatments (black plastic, straw mulch, and no-mulch control) at three different planting times (1, 2, and 3) in 2022 at the Tennessee State University research farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 2.
Main effects of mulch material on total weed density in 2022 at the Tennessee State University research farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 2.
Main effects of mulch material on total weed density in 2022 at the Tennessee State University research farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 3.
Main effect of mulch material on total dry weight in 2022 at the TSU AREC farm. Data for the third planting time were excluded due to poor plant establishment and loss of at least one replicate. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 3.
Main effect of mulch material on total dry weight in 2022 at the TSU AREC farm. Data for the third planting time were excluded due to poor plant establishment and loss of at least one replicate. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 4.
Main effects of planting times (1, 2) on total dry weight in 2022 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 4.
Main effects of planting times (1, 2) on total dry weight in 2022 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 5.
Average soil temperature of floral hemp grown under plastic-, straw-, and no-mulch plots sampled at two dates (July, August) in 2022 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 5.
Average soil temperature of floral hemp grown under plastic-, straw-, and no-mulch plots sampled at two dates (July, August) in 2022 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 6.
Total THC of floral hemp grown at grown at different planting times (1,2,3) in 2022 at the Tennessee State University research farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 6.
Total THC of floral hemp grown at grown at different planting times (1,2,3) in 2022 at the Tennessee State University research farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 7.
Cannabidiol (CBD) of floral hemp grown in three different planting times (1, 2, 3) in 2022 at the Tennessee State University research farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 7.
Cannabidiol (CBD) of floral hemp grown in three different planting times (1, 2, 3) in 2022 at the Tennessee State University research farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 8.
Southern blight percent disease severity of floral hemp grown under three mulch treatments (black plastic, straw mulch, and no-mulch control) at three different planting times (1, 2, and 3) in 2023 at the TSU AREC. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 8.
Southern blight percent disease severity of floral hemp grown under three mulch treatments (black plastic, straw mulch, and no-mulch control) at three different planting times (1, 2, and 3) in 2023 at the TSU AREC. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 9.
Average percent southern blight disease severity of floral hemp grown at three different planting times (1, 2, and 3) and sampled at three different dates (July, August, and September) in 2023 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 9.
Average percent southern blight disease severity of floral hemp grown at three different planting times (1, 2, and 3) and sampled at three different dates (July, August, and September) in 2023 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 10.
Spearman’s correlation analysis of chlorophyll content (SPAD) versus disease severity (DS). The distribution of data points and the fitted trend line illustrate the overall trend across the observed range.
Figure 10.
Spearman’s correlation analysis of chlorophyll content (SPAD) versus disease severity (DS). The distribution of data points and the fitted trend line illustrate the overall trend across the observed range.
Figure 11.
Average plant heights of floral hemp grown in three mulches (plastic, straw, and none) sampled at three planting times (1, 2, 3) and fungicides (NF-no fungicide, F-fungicide) in 2023 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 11.
Average plant heights of floral hemp grown in three mulches (plastic, straw, and none) sampled at three planting times (1, 2, 3) and fungicides (NF-no fungicide, F-fungicide) in 2023 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 12.
Chlorophyll content (SPAD) of floral hemp grown in three mulches (plastic, straw, and none) sampled at three different planting time (1, 2, 3) and fungicides (NF-no fungicide, F- fungicide) in 2023 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 12.
Chlorophyll content (SPAD) of floral hemp grown in three mulches (plastic, straw, and none) sampled at three different planting time (1, 2, 3) and fungicides (NF-no fungicide, F- fungicide) in 2023 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 13.
Main effects of mulch material on weed density (broad leaf count) in 2023 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 13.
Main effects of mulch material on weed density (broad leaf count) in 2023 at the TSU AREC farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 14.
Main effects of mulch material on weed density (grass count) in 2023 at the Tennessee State University research farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 14.
Main effects of mulch material on weed density (grass count) in 2023 at the Tennessee State University research farm. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 15.
Soil temperature of floral hemp grown in three mulches (plastic, straw, and none) with fungicide (F) and without fungicide (NF) in 2023 at the TSU AREC. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05.
Figure 15.
Soil temperature of floral hemp grown in three mulches (plastic, straw, and none) with fungicide (F) and without fungicide (NF) in 2023 at the TSU AREC. Error bars are ± s.e. Means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05.
Figure 16.
Soil temperature of floral hemp grown in three mulches (Plastic, straw, and none) sampled at four different sample dates of summer (June, July, August, and September) in 2023 at the Tennessee State University research farm. Error bars are ± s.e. means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 16.
Soil temperature of floral hemp grown in three mulches (Plastic, straw, and none) sampled at four different sample dates of summer (June, July, August, and September) in 2023 at the Tennessee State University research farm. Error bars are ± s.e. means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 17.
Soil temperature of floral hemp grown at three planting times (1, 2, and 3) sampled at four different sample dates of summer (June, July, August, and September) in 2023 at the Tennessee State University research farm. Error bars are ± s.e. means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Figure 17.
Soil temperature of floral hemp grown at three planting times (1, 2, and 3) sampled at four different sample dates of summer (June, July, August, and September) in 2023 at the Tennessee State University research farm. Error bars are ± s.e. means of bars followed by the same letter are not significantly different (LSD, alpha = 0.05).
Table 1.
Partial analysis of variance values for southern blight percent severity, total weeds density (T.Weed), plant biomass, soil temperature (S.Temp), tetrahydrocannabidiol (THC), and Cannabidiol (CBD) as affected by fungicide application (FCide), planting time (PltTime), mulch material and their interactions at Tennessee State University (TSU AREC) in 2022.
Table 1.
Partial analysis of variance values for southern blight percent severity, total weeds density (T.Weed), plant biomass, soil temperature (S.Temp), tetrahydrocannabidiol (THC), and Cannabidiol (CBD) as affected by fungicide application (FCide), planting time (PltTime), mulch material and their interactions at Tennessee State University (TSU AREC) in 2022.
| Source of variation |
df |
Disease |
T. Weed |
Biomass |
S.Temp |
THC |
CBD |
| Mulch |
2 |
0.3949 |
0.0001 |
0.0481 |
<0.0001 |
0.911 |
0.911 |
| Planting Time (PltTime) |
2 |
0.00046 |
0.918 |
0.00001 |
0.8919 |
0.0016 |
0.0152 |
| Fungicide (FCide) |
1 |
0.4122 |
0.724 |
0.1108 |
0.2192 |
0.410 |
0.1131 |
| Sampling Date (Date) |
2 |
NA |
0.918 |
NA |
0.8168 |
NA |
NA |
| Mulch*PltTime |
4 |
0.0476 |
0.751 |
0.3496 |
0.9539 |
0.2181 |
0.5321 |
| Mulch*FCide |
2 |
0.5954 |
0.912 |
0.5248 |
0.2232 |
0.8833 |
0.3353 |
| PltTime*FCide |
2 |
0.8823 |
0.746 |
0.28 |
0.6571 |
0.5708 |
0.5809 |
| Mulch*Date |
4 |
NA |
0.751 |
NA |
0.00391 |
NA |
NA |
| PltTime*Date |
4 |
NA |
0.918 |
NA |
0.7727 |
NA |
NA |
| FCide*Date |
2 |
NA |
0.746 |
NA |
0.5915 |
0.5708 |
0.5809 |
| Mulch*PltTime*FCide |
4 |
0.8167 |
0.988 |
0.5086 |
0.9717 |
0.2443 |
0.8927 |
Table 2.
Partial analysis of variance (P > F) values for southern blight severity (%) and other agronomic parameters: plant height, chlorophyll (SPAD nmol/cm2), broadleaf weeds (B. Weeds), grass weeds (G. Weeds), plant biomass, and soil temperature (S. Temp) as affected by fungicide application (FCide), planting time (PltTime), and mulches at TSU AREC in 2023.
Table 2.
Partial analysis of variance (P > F) values for southern blight severity (%) and other agronomic parameters: plant height, chlorophyll (SPAD nmol/cm2), broadleaf weeds (B. Weeds), grass weeds (G. Weeds), plant biomass, and soil temperature (S. Temp) as affected by fungicide application (FCide), planting time (PltTime), and mulches at TSU AREC in 2023.
| Source of variation |
df |
Disease |
Height |
SPAD |
B. Weeds |
G. Weeds |
S. Temp |
| Mulch |
2 |
0.0395 |
<0.0001 |
<0.0001 |
0.00807 |
<0.0001 |
<0.0001 |
| Planting time (Pltime) |
2 |
0.9729 |
<0.0001 |
0.0005 |
0.705 |
0.5101 |
<0.0001 |
| Fungicide (FCide) |
1 |
0.5179 |
0.5362 |
0.0541 |
0.709 |
0.691 |
0.5709 |
| Sampling Date (Date) |
2 |
<0.0001 |
<0.0001 |
<0.0001 |
0.641 |
0.0243 |
<0.0001 |
| Mulch*Pltime |
4 |
0.0576 |
0.029 |
0.0112 |
0.555 |
0.1312 |
0.3954 |
| Mulch*FCide |
2 |
0.329 |
0.116 |
0.2285 |
0.876 |
0.3645 |
0.0392 |
| Pltime*FCide |
2 |
0.577 |
0.769 |
0.1989 |
0.191 |
0.8394 |
0.5658 |
| Mulch*Date |
4 |
0.572 |
0.0748 |
0.5324 |
0.388 |
0.1312 |
<0.0001 |
| Pltime*Date |
4 |
0.085 |
0.655 |
0.8174 |
0.807 |
0.5101 |
0.00021 |
| FCide*Date |
2 |
0.576 |
0.612 |
0.8803 |
0.735 |
0.8394 |
0.9976 |
| Mulch*Pltime*FCide |
4 |
0.913 |
0.047 |
0.0368 |
0.319 |
0.2482 |
0.9720 |
| Mulch*PltTime*Date |
8 |
0.372 |
0.868 |
0.958 |
0.319 |
0.2164 |
0.9304 |
| Mulch*FCide*Date |
4 |
0.648 |
0.689 |
0.475 |
0.490 |
0.3539 |
0.9183 |
| PltTime*FCide*Date |
4 |
0.522 |
0.621 |
0.957 |
0.876 |
0.1895 |
0.425 |
| Mulch*PltTime*FCide*Date |
8 |
0.757 |
0.967 |
0.950 |
0.319 |
0.2313 |
0.969 |