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Article

Positive Correlation of Lodging Resistance and Soybean Yield under the Influence of Uniconazole

College of Agriculture, Northeast Agricultural University, Harbin 150030, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Agronomy 2024, 14(4), 754; https://doi.org/10.3390/agronomy14040754
Submission received: 15 March 2024 / Revised: 31 March 2024 / Accepted: 3 April 2024 / Published: 5 April 2024

Abstract

:
Increasing planting density is one of the most effective ways to increase soybean yield, but supra-optimum density leads to an increase in the risk of lodged soybean. In this study, two varieties were selected. Heinong84 (lodging-susceptible variety, HN84) had planting densities of 200,000 plants/hm2, 300,000 plants/hm2, and 400,000 plants/hm2. Henong60 (lodging-resistant, HN60) had planting densities of 300,000 plants/hm2, 400,000 plants/hm2, and 500,000 plants/hm2. When the foliar application of uniconazole (50 mg/L) occurred at the beginning of the flowering stage (R1), the plant morphology, fiber composition, and mechanical properties of soybean internodes were determined at the podding and seed filling stages, and the yield was measured at the harvest stage. The results showed that spraying uniconazole at the R1 stage changed the morphology structure of soybean plants (i.e., plant height and petiole length reduction; stem diameter and leafstalk angle increase), improved the internode quality (i.e., increased breaking force, lignin content, cellulose content, hemicellulose content, and stem dry weight per unit length), and increased the number of grains per plant at the harvest stage. Thus, it is concluded that the application of uniconazole improved the plant population structure by changing the morphology of soybean plants, which was conducive to good light transmission and ventilation, improved the internode quality and lodging resistance, and increased the yield.

1. Introduction

Soybean (Glycine max L.) is one of the most widely cultivated oil crop worldwide. Soybean is rich in oil and protein [1,2] and plays an important role in the human diet, animal feed, bio-oil production, and industrial product raw materials [3]. Increasing planting density has been considered an efficient strategy to increase crop yield [4,5]. An appropriate planting density can coordinate the relationship between individual growth and population growth [6], but as planting density increases, plant height increases [6,7,8,9], and it becomes more sensitive to lodging. Coordinating the balance between planting density and population lodging is the main way to achieve a large-scale balanced yield increase in soybean.
The quality of a soybean stem is a key indicator used to measure soybean lodging, and its morphological characteristics, physiological traits, and mechanical properties are closely related to soybean lodging resistance [10]. Related studies have shown that plant height and the length of the basal internodes are negatively correlated with lodging resistance [11,12], and stem diameter, stem wall thickness, and stem plumpness are positively correlated with lodging resistance [13,14]. In addition, the mechanical properties such as bending strength, inertia moment, elastic ratio, and flexural rigidity of the stem are also deeply studied in soybean. The mechanical properties are distributed differently along the stem. The strength of the basal internode between 1 and 5 cm is the highest, which plays an important role in the lodging resistance of soybean [15,16,17,18]. The lodging resistance coefficient of soybean, which is mainly based on plant mechanical properties, can comprehensively reflect the lodging resistance of soybean and is significant correlated with lodging resistance [19]. The plant height, stem diameter, and internode length are the main indexes affecting the mechanical properties, and stem strength is negatively correlated with plant height and internode length, but positively correlated with stem diameter [20,21]. Stem strength is the product of the chemical and biochemical components of the stem. Cellulose and lignin are the main components of stem cell wall and the key factors used to determine stem strength. Previous studies have shown that the content of lignin and cellulose in stems is positively correlated with lodging resistance; the higher the cellulose content in the unit volume of the plant, the stronger the stem strength, though the lodging resistance is worse [22,23,24]. Jun et al. [25] believed that under high-density planting conditions, the accumulation rate of lignin and cellulose in the stems slowed down, which is not conducive to the formation of epidermal tissue and the epidermal puncture strength of stems, which was also the main reason for high-density planting.
Controlling plant height is an important way to enhance the lodging resistance of crops. Uniconazole is an inhibitor of gibberellin biosynthesis. Its main role is to regulate endogenous hormone levels by inhibiting kaurene oxidase (KO), increasing plant dry weight, reducing plant height [26], shortening internode length, increasing stem diameter, and enhancing lodging resistance and yield [27,28]. Spraying uniconazole on buckwheat [29] and wheat [30] could significantly reduce plant height, increase lignin content and bending strength, and improve lodging resistance. Han et al. [31] showed that uniconazole soaking treatment could regulate soybean plant shape, strengthen the photosynthetic characteristics, and increase yield. Yan et al. [28] believed that uniconazole treatment significantly inhibited the vegetative growth of intercropping soybean at the seedling stage, increased the light transmittance of soybean canopy, decreased the soybean internode length and leaf area per plant, delayed the leaf senescence at the podding stage, and was directly related to the increase in soybean yield. Wan et al. [32] showed that spraying uniconazole at the three-leaf stage of soybean could reduce the ratio of internode length to stem diameter and significantly increase petiole length, leaf length, and leaf width. In addition, uniconazole could significantly increase the chlorophyll content and Pn, Tr, and intercellular CO2 concentration (Ci) of soybean, as well as increase the content of sucrose and starch [33,34]. Feng et al. [35] showed that uniconazole could increase the soluble sugar content, soluble protein content, superoxide dismutase, and peroxidase and catalase activities in soybean leaves under drought conditions.
Increasing planting density has become an important measure to increase soybean yield. Lodging resistance is an important index used to measure density tolerance. It is of great significance to ensure soybean population yield by screening suitable planting density, constructing reasonable population structures, and increasing soybean lodging resistance. Based on the field experiment, we hypothesized that uniconazole application at soybean R1 would (i) reduce soybean plant height and increase stem diameter and the D/H ratio; (ii) increase the content of lignin, cellulose, and hemicellulose in soybean stems; and (iii) increase the dry weight of soybean plant, dry weight per unit length of internode, and stem breaking force. The purpose of this study was to verify that uniconazole had optimization and improvement effects on plant type, lodging resistance, and the yield of two soybean plants with different lodging resistances under different planting densities, and to provide theoretical support for the scientific use of chemical regulators to construct reasonable population structures and increases in the lodging resistance and yield measures of soybean.

2. Materials and Methods

2.1. Experimental Site

The field trial was conducted at the Northeast Agricultural University Experimental Station (126°45′ E, 45°42′ E) in Harbin City, China, in 2021 and 2023. The experimental site is located in the middle of Songnen Plain, which belongs to the cold temperate continental climate. The experimental field was black soil, and the contents of organic matter, available nitrogen, available phosphorus, and available potassium were 32.46 g/kg, 82.51 mg/kg, 58.20 mg/kg, and 172.20 mg/kg, respectively.

2.2. Field Experimental Design

In this experiment, Heinong84 (HN84, a tall variety, lodging-susceptible variety) and Henong60 (HN60, a dwarf variety, lodging-resistant) were selected. The experiment was conducted in a split-pot, and the planting density was the main factor. Each variety set three densities; HN84 was set at 200,000 plants/hm2, 300,000 plants/hm2, and 400,000 plants/hm2, which were denoted as D20, D30, and D40. HN60 was set at 300,000 plants/hm2, 400,000 plants/hm2, and 500,000 plants/hm2, which were denoted as D30, D40, and D50. The sub-factor was the foliar spraying of 50 mg/L uniconazole (S3307) and water (CK), respectively. In this experiment, the spraying day was July 13, and the amount of liquid applied was 225 L/hm2. In order to promote the absorption of uniconazole by soybeans, we added the additive Tween 20 in the process of uniconazole configuration and selected a windless sunny day for foliar spraying. Plot ridge planting was adopted, with 6 ridges in each plot, 10 m ridge length, 0.65 m row spacing, and 3 repetitions, and the plots were randomly arranged.
In order to verify the uniconazole treatment, we planted the HN84 in the same plot in 2023, repeated the experimental treatment we first conducted in 2021, and investigated the yield and its components during the harvest period. The standard agronomic measures for soybean production were adopted during the growth period, including necessary chemical fertilizers, herbicides, and irrigation.

2.3. Sampling and Measurements

2.3.1. Growth and Physiological Parameter Determination

After treatment on soybean plants, 10 soybean plants were continuously sampled in the area with uniform growth in each plot, and the dry weights of the stems, leaves, and pods were measured once every 7 days 7 consecutive times.
In the podding stage and seed filling stage, 10 plants were randomly selected from each plot to measure plant height, stem diameter, petiole length, leafstalk angle, stem dry weight, and structural carbohydrate content (i.e., lignin, cellulose, and hemicellulose).
Plant height: The height of the stem cotyledon to the apical meristem was measured with a ruler.
Stem diameter: The diameter of the second internode of the soybean base was measured by a vernier caliper.
Petiole length: The length of the soybean petiole (the third trifoliolate leaf petiole downward from the apical meristem) was measured with a ruler.
Leafstalk angle: The angle between the petiole third trifoliolate leaf petiole (downward from the apical meristem) and stem was measured by a protractor.
At the end, the soybean plant stems were put into a forced-draft convection oven at 80 °C to dry to a constant weight, were weighed, and the dry weight per unit length was calculated (DWUL).
DWUL   = The   weight   of   the   stem The   length   of   the   stem
At the same time, three soybeans were randomly selected from each plot, and the second internode of the stem base was conserved at −80 °C in a refrigerator. The content of cellulose, hemicellulose, and lignin in soybean stems was determined by an ELISA [36].

2.3.2. Breaking Force and Stem Lodging Resistance Coefficient Determination

In the pod stage and seed filling stage, 10 plants were randomly selected from each plot, referring to three-point bending for mechanical analysis [19], the mechanical properties of soybean stem were determined, as shown in Figure 1, the distance between the two fulcrums was adjusted and fixed, and the push force on the middle position was assessed. At this time, the distance between the action point of the thrust on the stem and the upper fulcrum is L (HN84 podding stage L = 8 cm, seed filling stage L = 7 cm; HN60 L = 7 cm at podding stage and L = 8 cm at seed filling stage).
In Figure 1, when the breaking force on the stem is F, the stem bending moment is FL. The center of the plant height is the center of gravity, and the gravity moment of the plant is 1/2HMg. The ratio of the bending moment to the gravity moment is defined as the lodging resistance coefficient (Q) and is expressed as follows.
Q = 2 F L M g H
In the formula: H: plant height; F: breaking force; L: the distance between the upper fulcrum and the action point of the push force; and M: plant fresh weight (Table S1); g = 9.8 N/kg.
When the stem breaks, the angle between the tangential line of the curve of the bent stem (0′) and the straight line of the initially erect stem (0) is defined as the rotation angle (θ).
θ 180 π arctan y L

2.3.3. Yield Determination

The yield was measured during the soybean harvest period. Two square meters with a uniform density were hand-harvested in each plot. The soybean plants in the selected area were all harvested, and the soybean yield was measured. Five soybean plants with uniform growth were selected in each plot, and each treatment entailed three repetitions. The number of internodes per plant, grain weight, grain number, and 100-grain weight were measured.

2.4. Statistical Analysis

IBM SPSS 26 (SPSS Inc., Chicago, IL, USA) statistical software was used for data management and variance analysis. Variance analysis (ANOVA) and mean values were compared by the LSD test at p < 0.05. Pearson’s correlation coefficient was performed using Origin 2021 (OriginLab, Northampton, MA, USA) to determine the correlation between the indicators and construct figures.

3. Results

3.1. Morphological Characteristics of Soybean Plants

The plant height, stem diameter, and D/H ratio of soybean were compared between the podding stage and seed filling stage. It was indicated that there was no significant difference in the plant height of HN84 under different planting densities, and the plant height of HN60 increased with the increase in the planting density (Figure 2). The application of S3307 significantly reduced the plant height of HN84 and HN60. The application of S3307 under D20, D30, and D40 planting densities reduced the plant height of HN84 by 8.7%, 5.8%, and 3.3%, respectively. The application of S3307 under D30, D40, and D50 planting densities reduced the plant height of HN60 by 3.8%, 4.0%, and 1.5%, respectively. Under the same planting density, the S3307 treatment increased the stem diameter of soybean, and the two varieties showed the same performance.
The D/H ratio is an important index to estimate the lodging resistance of soybean plants [19]. It was indicated that S3307 treatment increased the D/H ratio of HN84 and HN60 under the same planting density (Figure 2c,f). The D/H ratio of HN84 under D20 density with S3307 treatment was significantly higher than that of other treatments, and the D40 density with the control was significantly lower than that of other treatments. The D/H ratio of the S3307 treatment increased under the three planting densities of HN60, but the difference between treatments was not significant. It indicated that S3307 could increase the D/H ratio of HN84 and HN60 under different planting densities and had a more significant effect on HN84.
As shown in Figure 3, S3307 significantly reduced the petiole length of HN84 at the podding stage, but it had no significant effect on the petiole length at the seed filling stage. The petiole length of HN60 under the S3307 treatment was not significant at the podding stage, but it significantly reduced the petiole length of HN60 at the seed filling stage. The leafstalk angle was affected by the growth period. At the podding stage, the S3307 treatment significantly increased the leafstalk angle of HN84 and HN60, but there was no significant difference between the treatments at the seed filling stage.

3.2. Plant Dry Weight

In this study, the soybean plant population from 3 July 2021 (before treatment) to 25 September 2021 was continuously sampled to analyze the effects of S3307 on the dry matter weight of the stems, leaves, and pods of soybean plants under different density conditions, and these effects were compared (Figure 4). The results showed that the total dry matter weight of HN84 and HN60 decreased with the increase in the planting density. The S3307 treatment could significantly increase the total dry matter weight, stem dry matter weight, pod dry matter weight, and leaf dry matter weight of soybean plants.

3.3. Carbohydrates Contents

For HN84, both high-density planting conditions and the S3307 treatment increased the fiber composition content in soybean stems (Figure 5a). The S3307 treatment considerably affected the contents of lignin, cellulose, and hemicellulose in soybean stems at the podding stage. Under D20, D30, and D40 with the application of S3307, lignin increased by 10.7%, 16.9%, and 8.0% (the average value of the two growth periods), cellulose increased by 2.2%, 13.5%, and 13.7% (the average value of the two growth periods), and hemicellulose increased by 19.2%, 24.3%, and 11.9% (the average value of the two growth periods). Further analysis revealed that although the content of fiber composition in the stems of HN84 was higher under high-density planting conditions, S3307 had a more significant effect on the soybean plants of D30 (optimal planting density).
As shown in Figure 5b, the change in the planting density had no significant effect on the fiber composition content of HN60. S3307 significantly increased the content of lignin, cellulose, and hemicellulose of HN60 at the podding stage. However, at the seed filling stage, S3307 significantly increased the content of lignin and cellulose under D50 density, but it had no significant effect on the lignin content of the D20 treatment, and it reduced the hemicellulose content. It can be seen that compared with the dwarf variety HN60, the S3307 treatment had a more significant effect on the fiber composition content in the stem of HN84.

3.4. Breaking Force and Lodging Resistance Coefficient

In this study, the mechanical properties of soybean internodes of HN84 and HN60 at the podding stage and seed filling stage were investigated. Table 1 shows that with the increase in the planting density, the DWUL, deformation, breaking force, bending moment, gravity moment, rotation angle, and lodging resistance coefficient of HN84 present a downward trend. After the application of S3307, the DWUL, deformation, breaking force, bending moment, gravity moment, rotation angle, and lodging resistance coefficient of HN84 increased, and the lodging resistance coefficient under D20 with the S3307 treatment was significantly higher than that of other treatments.
The analysis of variance revealed that density significantly affected the DWUL, deformation, breaking force, bending moment, rotation angle, and lodging resistance coefficient of HN84 stem (p < 0.01) and had significant effects on gravity moment (p < 0.05). S3307 had significant effects on the DWUL, deformation, breaking force, bending moment, and rotation angle (p < 0.01) and significantly affected the lodging resistance coefficient (p < 0.05). The growth period had a significant effect on the breaking force, gravity moment, rotation angle, and lodging resistance coefficient (p < 0.01), but it had no significant effect on the DWUL and bending moment. D × S and S × P only had a significant effect on the DWUL (p < 0.01), D × P had a significant effect on the DWUL and lodging resistance coefficient (p < 0.01), and D × S × P was not significant on each index.
Table 2 shows that the change in the mechanical properties of HN60 was basically the same as that of HN84, but the lodging resistance coefficient was significantly higher than that of HN84. At the podding stage, the increase in the mechanical properties of the internode under S3307 was not significant, but it revealed significant differences between the treatments at the seed filling stage.
The analysis of variance revealed that density significantly affected the DWUL, deformation, breaking force, bending moment, rotation angle, and lodging resistance coefficient of HN60 (p < 0.01). The S3307 treatment had a significant effect on the deformation, breaking force, and rotation angle (p < 0.01) and had a significant effect on the bending moment (p < 0.05). The growth period had a significant effect on the breaking force, bending moment, gravity moment, and rotation angle (p < 0.01) and had a significant effect on the lodging resistance coefficient (p < 0.05). D × S, D × P, S × P, and D × S × P had no significant effect on the lodging resistance coefficient. This indicated that planting density had a significant effect on the mechanical properties of HN84 and HN60. The application of S3307 had a significant effect on the mechanical properties of HN84, but it did not have a significant effect on HN60.

3.5. Correlation Analysis on the Mechanical Properties of Soybean Plants

The correlation analysis revealed that the lodging resistance coefficient of HN84 and HN60 was significantly positively correlated with the breaking force. Under the S3307 treatment, the lignin content in the stem of HN84 was significantly positively correlated with the lodging resistance coefficient, and the cellulose content was significantly negatively correlated. However, the lignin content and hemicellulose content were significantly negatively correlated with the lodging resistance coefficient at the seed filling stage, and the DWUL had a significant positive correlation with it (Figure 6). Under the S3307 treatment, the lodging resistance coefficient of HN60 at the podding stage was significantly positively correlated with lignin content, and the lodging resistance coefficient at the seed filling stage was significantly positively correlated with the stem diameter, breaking force, and rotation angle, significantly positively correlated with D/H, significantly negatively correlated with the hemicellulose content, and significantly negatively correlated with plant height (Figure 7).

3.6. Grain Yields and Yield Components

As shown in Table 3, under control conditions without S3307, the yield of HN84 reached the maximum at D30 (optimum density) and HN60 at D40 (optimum density). The S3307 treatment increased the soybean yield of HN84 under D20, D30, and D40 treatments by 2.5%, 8.3%, and 18.7%, respectively, and the number of grains per plant increased by 24.2%, 24.7%, and 9.8%, respectively, but had no significant effect on the 100-grain weight and the number of internodes. The analysis of variance showed that the density and S3307 treatment had a significant effect on the number of grains per plant and the yield of soybean plants (p < 0.01), and the density and S3307 significantly interacted, which affected the grain yield of HN84 soybean.
The S3307 treatment increased the soybean yield of HN60 under D20, D30, and D40 treatments by 14.7%, 5.5%, and 16.2%, respectively. Similar to HN84, the S3307 treatment significantly increased the number of grains per plant. The variance analysis revealed that the density and S3307 had significant effects on the grain number per plant and yield, but they had no interaction effect on the grain number per plant and soybean grain yield. Therefore, we speculated that the increase in the soybean yield under the S3307 treatment may be caused by the increase in the grain number per plant. It is worth noting that the application of S3307 seems to affect the lowest pod position of soybean. The internode of the first pod of the S3307-D20 treatment of Heinong84 and S3307-D30 treatment of Henong60 was significantly lower than that of the other treatments.
In order to verify the effect of S3307 on soybean yield, we re-measured the yield of HN84 in 2023 (Table 4). The results revealed that the S3307 treatment increased the soybean yield and grain number per plant and had a significant effect on the grain number per plant and yield of soybean plants (p < 0.01).

4. Discussion

Density planting is an important method used to increase soybean yield, but it is also used to increase the lodging rate [37]. The morphological, physiological, and mechanical properties of stems are closely related to lodging resistance. Stem length and plant height are two levers that constitute lodging moment and are the most important morphological characteristics for stem lodging [38,39]. In this study, with an increase in planting density, both varieties revealed an increase in plant height and a decrease in stem diameter and the D/H ratio, and the lodging resistance coefficient of the dwarf variety HN60 was higher, which may be caused by the smaller gravity moment [9,40].
The application of uniconazole helps to improve plant lodging resistance [27,28]; it is shown to reduce plant height and stem gravity height, shorten soybean internode length, and increase stem diameter (Figure 1, Table 1 and Table 2). In addition, the S3307 treatment significantly reduced the petiole length of HN84 at the podding stage and increased the leafstalk angle between HN84 and HN60 at the podding stage (Figure 2). It was indicated that the adjustment of the S3307 treatment in terms of morphology is not limited to plant height; it also tends to have an effect on more compact plant types, which is conducive to enhancing plant lodging resistance. At the same time, the larger petiole angle made the plant obtain more light [41], which was conducive to the accumulation of dry matter and the increase in the yield. However, the S3307 treatment had no significant effect on the petiole length and leafstalk angle of the two varieties at the seed filling stage, indicating that S3307 had timeliness in the regulation of soybean stem morphology, similar to the results of Han et al. [31].
Stem strength is the main index used to measure the lodging resistance of soybean plants [42,43]. The DWUL is positively correlated with stem strength, indicating that the increase in crop biomass is related to improvements in stem strength and lodging resistance [44]. In this study, the S3307 treatment significantly increased the dry weight of the stem, leaf, pod, and whole plant (Figure 3). The deposition of structural carbohydrates (i.e., lignin, cellulose, hemicellulose) can lead to thicker stem tissue [45], affecting the elastic modulus of the stem and thus affecting its bending strength [46,47]. Zheng et al. [10] and Hussain et al. [45] believed that the content of lignin and cellulose in basal internodes was positively correlated with the lodging resistance of stems. Yang et al. [5] believed that cellulose had a positive effect on the rigidity of maize stem and could improve the lodging resistance of maize. Hussain et al. [45] believed that the soybean stem strength was mainly determined by the content of lignin and cellulose. Compared with cellulose, the lignin content notably had an effect on stem strength. In this study, the S3307 treatment induced a significant increase in the content of the lignin, cellulose, and hemicellulose of HN84, but it had no significant effect on the content of the fiber composition of HN60 at the seed filling stage, indicating that the S3307 treatment had a more significant effect on the content of structural carbohydrates in the stems of HN84 (Figure S1). In addition, the results showed that the content of structural carbohydrates in stems was less under the optimum planting density (D30) of HN84, and the content was significantly increased under a high planting density (D40) (Figure 5a). We speculated that the increase in the structural carbohydrate content in stems only played a positive role in plant lodging resistance within a certain range. Correlation analysis showed that the content of the lignin and hemicellulose of the HN84 had a significantly negative correlation with the lodging resistance coefficient and breaking force under the S3307 treatment (Figure 6d), indicating that the increase in the structural carbohydrate content in the late growth stage was not conducive to enhancing the lodging resistance of soybean, which is different from the views of Tripathi and Sayre [48] and Hu et al. [49].
Increasing stem strength and decreasing plant height help to maintain plant morphology, increase aboveground biomass and stability [50,51], maximize resistance to lodging, and increase yield [52]. The number and length of internodes determine soybean plant height. It is generally believed that the genotype soybean varieties with a smaller plant height have higher lodging resistance [53,54,55], but the decrease in the number of internodes may lead to a decrease in the number of pods per plant and the number of grains per plant, thereby reducing the yield [56]. Therefore, dwarfing soybean plants is an available way to increase soybean yield, increasing lodging resistance and preserving internode number. In this study, the S3307 treatment reduced the height of soybean plants under different planting densities, increased the lodging resistance coefficient, and had a more significant effect on the lodging-resistant variety HN84. Han et al. [31] revealed that the S3307 treatment could increase the number of grains per plant and the number of pods per plant, which was one of the main factors causing yield changes, but it had no significant effect on the 100-grain weight. In this study, the S3307 treatment significantly increased the yield and grain number per plant of HN84 and HN60 (Table 3 and Table 4). Correlation analysis revealed that the density and S3307 treatment had extremely significant effects on the yield and grain number per plant, but there was no interaction between them.
The lodging resistance coefficient at the podding stage was related to the yield of soybean plants (Table S2). Based on this, we established a model to explain the relationship between the indexes of soybean plants and the lodging resistance coefficient under the S3307 treatment (Figure 8). The results revealed that the S3307 treatment had a significant effect on the regulation of the morphological, physiological, and mechanical characteristics of the lodging-resistant varieties and could significantly improve their lodging resistance coefficient. The S3307 treatment improved the lodging resistance and increased the lodging resistance coefficient by adjusting the morphology of soybean plant and the content of fiber composition in stem so as to achieve an increase in yield.

5. Conclusions

The application of uniconazole at the R1 stage significantly affected the lodging resistance and final yield of soybean plants. Uniconazole treatment significantly inhibited the growth of soybean plant height and petiole elongation, increased stem diameter and the D/H ratio, and increased lodging resistance by changing plant type. The uniconazole treatment significantly increased the dry matter weight of stems, pods, and leaves and promoted the accumulation of lignin, cellulose, and hemicellulose, thereby increasing the breaking force. The application of uniconazole increased the grain number per plant and ultimately increased the yield of soybean. In summary, these findings indicate that uniconazole can improve the lodging resistance and yield of the two varieties, and the effect on the high-stalk varieties is more significant.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/agronomy14040754/s1, Figure S1: The percentage accumulation diagram of lignin, cellulose and hemicellulose content in soybean stem; Table S1: The soybean fresh weight (g); Table S2: Correlation coefficient between soybean lodging resistance coefficient and yield.

Author Contributions

Conceptualization, F.S., C.W. and C.M.; data curation, C.Y., F.S. and C.W.; formal analysis, C.Y., F.S. and X.L.; funding acquisition, C.Y. and C.M.; investigation, F.S., X.L., Y.W. and S.Y.; project administration, S.Y. and C.M.; resources, C.M.; validation, Y.W.; visualization, C.Y. and F.S.; writing—original draft, C.Y. and F.S.; writing—review and editing, C.Y. and F.S. All authors have read and agreed to the published version of the manuscript.

Funding

We are grateful for the financial support provided by the National Key R&D Program of China [Grant Number 2023YFD2300100], and the Research and Demonstration on Key Techniques of Soybean Crop Rotation and Straw Returning for High Yield in Third Accumulated Temperature Region [Grant Number 2021ZXJ05B03].

Data Availability Statement

The authors confirm that all data, tables, and figures in this manuscript are original.

Acknowledgments

The authors would like to thank the help given by Tianyu Xin in the experiment.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

References

  1. Le, D.T.; Nishiyama, R.; Watanabe, Y.; Tanaka, M.; Seki, M.; Ham, L.H.; Yamaguchi-Shinozaki, K.; Shinozaki, K.; Tran, L.P.; Shiu, S. Differential Gene Expression in Soybean Leaf Tissues at Late Developmental Stages under Drought Stress Revealed by Genome-Wide Transcriptome Analysis. PLoS ONE 2012, 7, e49522. [Google Scholar] [CrossRef] [PubMed]
  2. Jiang, H.; Shui, Z.W.; Xu, L.; Yang, Y.H.; Li, Y.; Yuan, X.Q.; Shang, J.; Muhammad, A.A.; Wu, X.L.; Yu, L.; et al. Gibberellins modulate shade-induced soybean hypocotyl elongation downstream of the mutual promotion of auxin and brassinosteroids. Plant Physiol. Biochem. 2020, 150, 209–221. [Google Scholar] [CrossRef] [PubMed]
  3. Le, D.T.; Nishiyama, R.; Watanabe, Y.; Mochida, K.; YamaguchiShinozaki, K.; Shinozaki, K.; Tran, L.S. Genome-Wide Survey and Expression Analysis of the Plant-Specific NAC Transcription Factor Family in Soybean during Development and Dehydration Stress. DNA Res. 2011, 18, 263–276. [Google Scholar] [CrossRef]
  4. Xie, Y.R.; Liu, Y.; Wang, H.; Ma, X.J.; Wang, B.B.; Wu, G.X.; Wang, H.Y. Phytochrome-interacting factors directly suppress MIR156 expressionto enhance shade-avoidance syndrome in Arabidopsis. Nat. Commun. 2017, 8, 348. [Google Scholar] [CrossRef]
  5. Yang, F.; Wang, X.C.; Liao, D.P.; Lu, F.Z.; Gao, R.C.; Liu, W.G.; Yong, T.W.; Wu, X.L.; Du, J.B.; Liu, J.; et al. Yield response to different planting geometries in maize-soybean relay strip intercropping systems. Agron. J. 2015, 107, 296–304. [Google Scholar] [CrossRef]
  6. Purcell, L.C.; Ball, R.A.; Reaper, J.D.; Vories, E.D. Radiation use efficiency and biomass production in soybean at different plant population densities. Crop. Sci. 2002, 42, 172–177. [Google Scholar] [CrossRef]
  7. Echezona, B.C. Corn-stalk lodging and borer damage as influenced by varying corn densities and planting geometry with soybean (Glycine max. L. Merrill). Int. Agrophys. 2007, 21, 133–143. [Google Scholar] [CrossRef]
  8. Khan, S.; Anwar, S.; Kuai, J.; Ullah, S.; Fahad, S.; Zhou, G.S. Optimization of Nitrogen Rate and Planting Density for Improving Yield, Nitrogen Use Efficiency, and Lodging Resistance in Oilseed Rape. Front. Plant Sci. 2017, 8, 532. [Google Scholar] [CrossRef]
  9. Reza, Y.; Morteza, S.; Hamidreza, M.; Dastan, S.; Alireza, N. Effect of Plant Density on Morphologic Characteristics Related to Lodging and Yield Components in Different Rice Varieties (Oriza sativa L.). J. Agric. Sci. 2011, 4, 31–38. [Google Scholar] [CrossRef]
  10. Zheng, M.J.; Chen, J.; Shi, Y.H.; Li, Y.X.; Yin, Y.P.; Yang, D.Q.; Luo, Y.L.; Pang, D.W.; Xu, X.; Li, W.Q.; et al. Manipulation of lignin metabolism by plant densities and its relationship with lodging resistance in wheat. Sci. Rep. 2016, 7, 19–26. [Google Scholar] [CrossRef]
  11. Wang, J.; Zhu, J.; Lin, Q.Q.; Li, X.J.; Teng, N.J.; Li, Z.S.; Li, B.; Zhang, A.; Lin, J.X. Effects of stem structure and cell wall components on bending strength in wheat. Chin. Sci. Bull. 2006, 51, 815–823. [Google Scholar] [CrossRef]
  12. Berg, E.V.D.; Labuschagne, T. The interaction of stem strength with plant density and nitrogen application in wheat progeny from parents with varying stem strength. Acta Agric. Scand. Sect. B Soil. Plant Sci. 2012, 62, 251. [Google Scholar] [CrossRef]
  13. Liang, S.J.; Li, Z.Q.; Li, X.J.; Xie, H.G.; Zhu, R.S.; Lin, J.X.; Xie, H.A.; Wu, H. Effects of stem structural characters and silicon content on lodging resistance in rice (Oryza satva L.). Res. Crops 2013, 14, 621–636. [Google Scholar]
  14. Kong, E.; Liu, D.C.; Guo, X.L.; Yang, W.L.; Sun, J.Z.; Li, X.; Zhan, K.H.; Cui, D.Q.; Lin, J.X.; Zhang, A.M. Anatomical and chemical characteristics associated with lodging resistance in wheat. Crop. J. 2013, 1, 43–49. [Google Scholar] [CrossRef]
  15. Zuber, U.; Winzeler, H.; Messmer, M.M.; Keller, M.; Keller, B.; Schmid, J.E.; Stamp, P. Morphological Traits Associated with Lodging Resistance of Spring Wheat (Triticum aestivum L.). J. Agron. Crop. Sci. 2010, 182, 17–24. [Google Scholar] [CrossRef]
  16. Jing, B.; Shah, F.; Xiao, E.; Coulter, J.A.; Wu, W. Sprinkler irrigation increases grain yield of sunflower without enhancing the risk of root lodging in a dry semi-humid region. Agric. Water Manag. 2020, 239, 106270. [Google Scholar] [CrossRef]
  17. Li, C.; Li, C.; Ma, B.L.; Wu, W. The role of ridge-furrow with plastic film mulching system on stem lodging resistance of winter wheat in a dry semi-humid region. Agron. J. 2020, 112, 885–898. [Google Scholar] [CrossRef]
  18. Shah, A.; Tanveer, M.; Rehman, A.; Anjum, A.; Iqbal, J.; Ahmad, R. Lodging stress in cereal-effects and management: An overview. Environ. Sci. Pollut. Res. 2017, 24, 5222–5237. [Google Scholar] [CrossRef] [PubMed]
  19. Xu, Y.; Zhang, R.; Hou, Z.F.; Yan, C.; Xia, X.; Ma, C.M.; Dong, S.K.; Gong, Z.P. Mechanical properties of soybean plants under various plant densities. Crop. Pasture Sci. 2020, 7, 249–259. [Google Scholar] [CrossRef]
  20. Beeck, C.P.; Wroth, J.; Cowling, W.A. Genetic variation in stem strength in field pea (Pisum sativum L.) and its association with compressed stem thickness. Aust. J. Agr. Res. 2006, 57, 193–199. [Google Scholar] [CrossRef]
  21. Xiang, D.B.; Yu, X.B.; Wan, Y.; Guo, K.; Yang, W.Y.; Gong, W.Z.; Cui, L. Responses of soybean lodging and lodging-related traits to potassium under shading by maize in relay strip intercropping system. Afr. J. Agr. Res. 2013, 8, 6499–6508. [Google Scholar]
  22. Xia, H.Y.; Wang, Z.G.; Zhao, J.H.; Sun, J.H.; Bao, X.G.; Christie, P.; Zhang, F.S.; Li, L. Contribution of interspecific interactions and phosphorus application to sustainable and productive intercropping systems. Field Crops Res. 2013, 154, 53–64. [Google Scholar] [CrossRef]
  23. Yang, S.M.; Xie, L.; Zheng, S.L.; Li, J.; Yuan, J.C. Effects of nitrogen rate and transplanting density on physical and chemical characteristis and lodging resistance of culms in hybrid rice. Acta Agron. Sin. 2009, 35, 93–103. [Google Scholar] [CrossRef]
  24. Wu, Q.; Wang, Z.; Yang, W. Seedling shading affects morphogenesis and substance accumulatiom of stem in soybean. Soybean Sci. 2007, 26, 868–872. [Google Scholar]
  25. Jun, X.; Zhao, Y.S.; Gou, L.; Shi, Z.G.; Yao, M.N.; Zhang, W.F. How High Plant Density of Maize Affects Basal Internode Development and Strength Formation. Crop. Sci. 2016, 56, 3295. [Google Scholar] [CrossRef]
  26. Zhou, W.J.; Leul, M. Uniconazole-induced alleviation of freezing injury in relation to changes in hormonal balance, enzyme activities and lipid peroxidation in winter rape. Plant Growth Regul. 1998, 26, 41–47. [Google Scholar] [CrossRef]
  27. Han, L.P.; Wang, X.L.; Guo, X.Q.; Rao, M.S.; Steinberger, Y.; Cheng, X.; Xie, G.H. Effects of plant regulators on growth, yield and lodging of sweet sorghum. Res. Crop. 2011, 12, 372–382. [Google Scholar] [CrossRef]
  28. Yan, Y.H.; Gong, W.Z.; Yang, W.Y.; Wan, Y.; Chen, X.L.; Chen, Z.Q.; Wang, L.Y. Seed treatment with uniconazole powder improves soybean seedling growth under shading by corn in relay strip intercropping system. Plant Prod. Sci. 2010, 13, 367–374. [Google Scholar] [CrossRef]
  29. Fang, X.; Liu, X.; Zhang, Y.; Huang, K.; Zhang, Y.; Li, Y.; Nie, J.; She, H.; Ruan, R.; Yuan, X.; et al. Effects of uniconazole or gibberellic acid application on the lignin metabolism in relation to lodging resistance of culm in common buckwheat (Fagopyrum esculentum M.). J. Agron. Crop. Sci. 2018, 204, 4. [Google Scholar] [CrossRef]
  30. Ahmad, I.; Kamran, M.; Guo, Z.Y.; Meng, X.P.; Ali, S.; Zhang, P.; Liu, T.N.; Cai, T.; Han, Q.F. Effects of uniconazole or ethephon foliar application on culm mechanical strength and lignin metabolism, and their relationship with lodging resistance in winter wheat. Crop. Pasture Sci. 2020, 71, 12–22. [Google Scholar] [CrossRef]
  31. Han, Y.Q.; Shi, Y.; Gao, Y.M.; Zheng, D.F.; Du, J.D.; Zhang, Y.X.; Feng, N.J. Effects of gibberellins and uniconazole on morphology, photosynthetic physiology and yield of soybean. Chin. J. Oil Crop. Sci. 2018, 40, 820–882. [Google Scholar]
  32. Wan, Y.; Luo, Q.M.; Yan, Y.H.; Yang, W.Y.; Cao, X.N. Response of morphological characters of soybean to application of growth retardant (uniconazole) at third trifoliate stage. Res. Crop. 2013, 14, 792–797. [Google Scholar]
  33. Zhao, J.J.; Feng, N.F.; Wang, X.X.; Cai, G.R.; Cao, M.Y.; Zheng, D.F.; Zhu, H.D. Uniconazole confers chilling stress tolerance in soybean (Glycine max L.) by modulating photosynthesis, photoinhibition, and activating oxygen metabolism system. Photosynthetica 2019, 57, 446–457. [Google Scholar] [CrossRef]
  34. Zhang, M.C.; Duan, L.S.; Tian, X.L.; He, Z.P.; Li, J.M.; Wang, B.M.; Li, Z.H. Uniconazole-induced tolerance of soybean to water deficit stress in relation to changes in photosynthesis, hormones and antioxidant system. J. Plant Physiol. 2007, 164, 709–717. [Google Scholar] [CrossRef] [PubMed]
  35. Feng, N.J.; Liu, C.J.; Zheng, D.F.; Gong, X.W. Effect of uniconazole treatment on the drought tolerance of soybean seedlings. Pak. J. Bot. 2020, 52, 168–179. [Google Scholar] [CrossRef] [PubMed]
  36. Shan, F.X.; Sun, K.X.; Gong, S.D.; Wang, C.; Ma, C.M.; Zhang, R.; Chao, Y. Effects of Shading on the Internode Critical for Soybean (Glycine max) Lodging. Agronomy 2022, 12, 492. [Google Scholar] [CrossRef]
  37. Wang, C.Y.; Dai, X.L.; Shi, Y.H.; Wang, Z.L.; Chen, X.G.; He, M.R. Effects of nitrogen application rate and plant density on lodging resistance in winter wheat. Acta Agron. Sin. 2012, 38, 121–128. [Google Scholar] [CrossRef]
  38. Berry, P.M.; Griffin, J.M.; Sylvester-Bradley, R.; Scott, R.K.; Spink, J.H.; Baker, C.J.; Clare, R.W. Controlling plant form through husbandry to minimize lodging in wheat. Field Crop. Res. 2000, 67, 59–81. [Google Scholar] [CrossRef]
  39. Hall, A.J.; Sposaro, M.M.; Chimenti, C.A. Stem lodging in sunflower: Variations in stem failure moment of force and structure across Crop. population densities and post–anthesis developmental stages in two genotypes of contrasting susceptibility to lodging. Field Crops Res. 2010, 116, 46–51. [Google Scholar] [CrossRef]
  40. Iqbal, M.; Ashraf, M. Gibberellic acid mediated induction of salt tolerance in wheat plants: Growth, ionic partitioning, photosynthesis, yield and hormonal homeostasis. Environ. Exp. Bot. 2013, 86, 76–85. [Google Scholar] [CrossRef]
  41. Wang, C.H.; Liu, D.; Xu, R.N.; Yang, Y.Q.; Liao, H. Mapping of QTLs for leafstalk angle in soybean. Acta Agron. Sin. 2020, 46, 9–19. [Google Scholar]
  42. Liang, L.; Guo, Y. Correlation study of biomechanical properties and morphological characteristics of Crop. stalks. Trans. Chin. Soc. Agric. Eng. 2008, 24, 1–6. [Google Scholar]
  43. Luo, M.; Tian, C.; Li, X.; Ling, J. Relationship between morpho-anatomical traits together with chemical components and lodging resistance of stem in rice. Acta Bot. Boreali Occid. Sin. 2007, 27, 2346–2353. [Google Scholar] [CrossRef]
  44. Wang, Z.K.; Wang, B.; Kuai, J.; Li, Z.; Bai, R.; Zhou, G.S. Planting density and variety intercropping improve organ biomass distribution of rapeseed to alleviate the trade–off between yield and lodging resistance. Crop. Sci. 2021, 61, 4. [Google Scholar] [CrossRef]
  45. Hussain, S.; Iqbal, N.; Rahman, T.; Liu, T.; Brestic, M.; Safdar, M.E.; Asghar, M.A.; Farooq, M.U.; Shafiq, I.; Ali, A.; et al. Shade effect on carbohydrates dynamics and stem strength of soybean genotypes. Environ. Exp. Bot. 2019, 162, 374–382. [Google Scholar] [CrossRef]
  46. Kuai, J.; Sun, Y.; Zhou, M.; Zhang, P.; Zuo, Q.; Wu, J.; Zhou, G. The effect of nitrogen application and planting density on the radiation use efficiency and the stem lignin metabolism in rapeseed (Brassica napus L.). Field Crops Res. 2016, 199, 89–98. [Google Scholar] [CrossRef]
  47. Shao, Y.J.; Shen, Y.S.; He, F.F.; Li, Z.Y. QTL identification for stem fiber, strength and rot resistance in a DH population from an alien introgression of Brassica napus. Plants 2022, 11, 373. [Google Scholar] [CrossRef] [PubMed]
  48. Tripathi, S.C.; Sayre, K.D. Growth and morphology of spring wheat (Triticum aestivum L.) culms and their association with lodging: Effects of genotypes, N levels and ethephon. Field Crops Res. 2003, 84, 271–290. [Google Scholar] [CrossRef]
  49. Hu, D.; Liu, X.B.; Wang, C.; Yang, H.; Li, H.X.; Ruan, R.W.; Yuan, X.H.; Yi, Z.L. Expression Analysis of Key Enzyme Genes in Lignin Synthesis of Culm Among Different Lodging Resistances of Common Buckwheat (Fagopyrum esculentum Moench). Sci. Agric. Sin. 2015, 48, 1864–1872. [Google Scholar]
  50. Chai, L.; Li, H.J.; Zhang, J.F.; Wu, L.T.; Zheng, B.C.; Cui, C.; Jiang, J.; Zuo, S.Q.; Jiang, L.C. Rapid identification of a genomic region conferring dwarfism in rapeseed (Brassica napus L.) YA2016-12. Agronomy 2019, 9, 129. [Google Scholar] [CrossRef]
  51. Liu, C.; Wang, J.L.; Huang, T.D.; Wang, F.; Yuan, F.; Cheng, X.M.; Zhang, Y.; Shi, S.W.; Wu, J.S.; Liu, K.D. A missense mutation in the VHYNP motif of a DELLA protein causes a semi-dwarf mutant phenotype in Brassica napus. Theor. Appl. Genet. 2010, 121, 249–258. [Google Scholar] [CrossRef]
  52. Sanchez, P.; Nehlin, L.; Greb, T. From thin to thick: Major transitions during stem development. Trends Plant Sci. 2012, 17, 113–121. [Google Scholar] [CrossRef] [PubMed]
  53. Pinera–Chavez, F.J.; Berry, P.M.; Foulkes, M.J.; Reynolds, M.P. Avoiding lodging in irrigated spring wheat. II. Genetic variation of stem and root structural properties. Field Crop. Res. 2016, 196, 64–74. [Google Scholar] [CrossRef]
  54. Wu, W.; Ma, B.L. Erect–leaf posture promotes lodging resistance in oat plants under high plant population. Eur. J. Agron. 2019, 103, 175–187. [Google Scholar] [CrossRef]
  55. Zhao, B.; Wang, B.; Li, Z.H.; Guo, T.; Zhao, J.W.; Guan, Z.L.; Liu, K.D. Identification and characterization of a new dwarf locus DS-4 encoding an Aux/IAA7 protein in Brassica napus. Theor. Appl. Genet. 2019, 132, 1435–1449. [Google Scholar] [CrossRef]
  56. Li, S.C.; Sun, Z.H.; Sang, Q.; Qin, C.; Kong, L.P.; Huang, X.; Liu, H.; Su, T.; Li, H.Y.; He, M.L.; et al. Soybean reduced internode 1 determines internode length and improves grain yield at dense planting. Nat. Commun. 2023, 14, 7939. [Google Scholar] [CrossRef]
Figure 1. Assay schematic of the breaking force of soybean stem [19].
Figure 1. Assay schematic of the breaking force of soybean stem [19].
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Figure 2. Effects of S3307 on plant height, stem diameter, and D/H ratio of soybean in 2021. Note: (ac) The morphological properties of HN84 at podding stage and seed filling stage; (df) the morphological properties of HN60 at podding stage and seed filling stage. Comparing the same period, different letters indicate a significant difference of 5%.
Figure 2. Effects of S3307 on plant height, stem diameter, and D/H ratio of soybean in 2021. Note: (ac) The morphological properties of HN84 at podding stage and seed filling stage; (df) the morphological properties of HN60 at podding stage and seed filling stage. Comparing the same period, different letters indicate a significant difference of 5%.
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Figure 3. Effects of S3307 on petiole length and leafstalk angle of soybean plants in 2021. (a,b) HN84 and (c,d) Henong60 compared during the same period; different letters indicate a difference of 5% significant level.
Figure 3. Effects of S3307 on petiole length and leafstalk angle of soybean plants in 2021. (a,b) HN84 and (c,d) Henong60 compared during the same period; different letters indicate a difference of 5% significant level.
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Figure 4. Effects of S3307 on dry matter weight of soybean plants in 2021. (ad) HN84 and (eh) HN60.
Figure 4. Effects of S3307 on dry matter weight of soybean plants in 2021. (ad) HN84 and (eh) HN60.
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Figure 5. The content of lignin, cellulose, and hemicellulose in soybean stem with S3307 application in 2021. (a) HN84 and (b) HN60: compared at the same time period; different letters indicate a significant difference of 5%.
Figure 5. The content of lignin, cellulose, and hemicellulose in soybean stem with S3307 application in 2021. (a) HN84 and (b) HN60: compared at the same time period; different letters indicate a significant difference of 5%.
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Figure 6. Correlation analysis of internode traits of HN84. (a) Control at podding stage; (b) S3307 treatment at podding stage; (c) control at seed filling stage; (d) S3307 treatment at seed filling stage. The size of the circle shows the correlation level, and the color of the circle shows positive or negative correlation; * and ** are p ≤ 0.05 and p ≤ 0.01, respectively.
Figure 6. Correlation analysis of internode traits of HN84. (a) Control at podding stage; (b) S3307 treatment at podding stage; (c) control at seed filling stage; (d) S3307 treatment at seed filling stage. The size of the circle shows the correlation level, and the color of the circle shows positive or negative correlation; * and ** are p ≤ 0.05 and p ≤ 0.01, respectively.
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Figure 7. Correlation analysis of internode traits of HN60. (a) Control at podding stage; (b) S3307 treatment at podding stage; (c) control at seed filling stage; (d) S3307 treatment at seed filling stage. The size of the circle shows the correlation level, and the color of the circle shows positive or negative correlation; * and ** are p ≤ 0.05 and p ≤ 0.01, respectively.
Figure 7. Correlation analysis of internode traits of HN60. (a) Control at podding stage; (b) S3307 treatment at podding stage; (c) control at seed filling stage; (d) S3307 treatment at seed filling stage. The size of the circle shows the correlation level, and the color of the circle shows positive or negative correlation; * and ** are p ≤ 0.05 and p ≤ 0.01, respectively.
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Figure 8. Path analysis of soybean internode traits and lodging resistance coefficient. (a) HN84; (b) HN60. The letter representative indicators in the figure are as follows: lodging resistance coefficient (A), lignin (B), hemicellulose (C), cellulose (D), stem breaking force (E), bending moment (F), gravity moment (G), plant height (H), stem diameter (I), D/H (J), leafstalk angle (K), petiole length (L), DWUL (M). * and ** are p ≤ 0.05 and p ≤ 0.01, respectively.
Figure 8. Path analysis of soybean internode traits and lodging resistance coefficient. (a) HN84; (b) HN60. The letter representative indicators in the figure are as follows: lodging resistance coefficient (A), lignin (B), hemicellulose (C), cellulose (D), stem breaking force (E), bending moment (F), gravity moment (G), plant height (H), stem diameter (I), D/H (J), leafstalk angle (K), petiole length (L), DWUL (M). * and ** are p ≤ 0.05 and p ≤ 0.01, respectively.
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Table 1. Effects of plant density and S3307 on the quality traits of the HN84 stem in 2021.
Table 1. Effects of plant density and S3307 on the quality traits of the HN84 stem in 2021.
PeriodTreatmentDWUL (g/cm)Deformation (cm)Breaking Force (N)Bending Moment (Nm)Gravity Moment (Nm)Rotation Angle (°)Lodging Resistance Coefficient
podding periodD20CK0.20 ± 0.01 ab1.54 ± 0.05 ab58.41 ± 5.75 b4.67 ± 0.46 b0.78 ± 0.01 a10.9 ± 0.35 ab6.02 ± 0.65 b
S33070.22 ± 0 a1.68 ± 0.05 a70.96 ± 0.65 a5.68 ± 0.05 a0.74 ± 0 b11.86 ± 0.34 a7.68 ± 0.05 a
D30CK0.20 ± 0.01 ab1.42 ± 0.09 bc48.33 ± 3.25 bc3.87 ± 0.26 bc0.76 ± 0.01 ab10.06 ± 0.6 ab5.09 ± 0.38 bc
S33070.21 ± 0.01 a1.5 ± 0.04 ab50.64 ± 4.14 bc4.05 ± 0.33 bc0.78 ± 0.01 a10.62 ± 0.31 bc5.15 ± 0.4 bc
D40CK0.17 ± 0.01 bc1.24 ± 0.07 c43 ± 1.97 c3.44 ± 0.16 c0.74 ± 0.01 b8.81 ± 0.52 c4.64 ± 0.2 c
S33070.16 ± 0 c1.3 ± 0.07 c47.93 ± 2.12 bc3.83 ± 0.17 bc0.76 ± 0.01 ab9.23 ± 0.49 c5.05 ± 0.27 bc
seed filling periodD20CK0.19 ± 0 b1.54 ± 0.02 b63.44 ± 2.68 a4.44 ± 0.19 a1.09 ± 0.05 a12.41 ± 0.19 b4.09 ± 0.15 ab
S33070.25 ± 0 a1.72 ± 0.05 a68.2 ± 2.75 a4.78 ± 0.19 a1.1 ± 0.05 a13.8 ± 0.38 a4.35 ± 0.19 a
D30CK0.17 ± 0.01 c1.5 ± 0.04 b56.05 ± 1.44 bc3.92 ± 0.1 bc1.08 ± 0.04 a12.09 ± 0.35 b3.63 ± 0.07 c
S33070.20 ± 0.01 b1.5 ± 0.03 b56.77 ± 1.56 b3.97 ± 0.11 b1.07 ± 0.03 a12.09 ± 0.25 b3.71 ± 0.14 bc
D40CK0.15 ± 0 d1.36 ± 0.05 c50.2 ± 1.71 c3.51 ± 0.12 bc0.99 ± 0.01 a10.99 ± 0.4 c3.56 ± 0.12 c
S33070.17 ± 0 c1.48 ± 0.04 b53.09 ± 1.4 bc3.72 ± 0.1 bc1.02 ± 0.02 a11.94 ± 0.29 b3.66 ± 0.15 bc
Analysis of variance
Density(D)60.883 **25.931 **38.37 **36.724 **4.289 *26.438 **25.097 **
S3307(S)33.879 **9.611 **8.464 **8.422 **0.13 ns10.088 **6.846 *
Period(P)0.611 ns5.04 *8.646 **2.548 ns358.404 **77.356 **116.624 **
D × S6.981 **1.246 ns1.689 ns1.688 ns0.518 ns1.349 ns2.773 ns
D × P5.864 **1.68 ns1.27 ns2.156 ns2.476 ns1.099 ns7.019 **
S × P15.283 **0.011 ns1.39 ns1.754 ns0.13 ns0.088 ns2.954 ns
D × S × P0.475 ns0.491 ns0.381 ns0.452 ns0.623 ns0.599 ns1.692 ns
Note: The values in the table are the means ± standard error (n = 5); different letters indicate that the difference between treatments reached significance at the level of p < 0.05, and the treatments are compared longitudinally. * and ** represent the significant levels of 5% and 1%, respectively, and ns indicates no significant difference.
Table 2. Effects of plant density and S3307 on the quality traits of the HN60 stem in 2021.
Table 2. Effects of plant density and S3307 on the quality traits of the HN60 stem in 2021.
PeriodTreatmentDWUL (g/cm)Deformation (cm)Breaking Force (N)Bending Moment (Nm)Gravity Moment (Nm)Rotation Angle (°)Lodging Resistance Coefficient
podding periodD30CK0.22 ± 0.01 a1.72 ± 0.07 b29.07 ± 0.56 ab0.12 ± 0 ab0.21 ± 0 ab76.44 ± 0.25 ab9.68 ± 0.31 a
S33070.18 ± 0.01 b2.08 ± 0.05 a31.78 ± 1.46 a0.14 ± 0 a0.22 ± 0 a77.48 ± 0.57 a10.21 ± 0.49 a
D40CK0.14 ± 0.01 c1.62 ± 0.13 b25.82 ± 1.61 bc0.12 ± 0.01 b0.21 ± 0 ab74.6 ± 1 abc8.64 ± 0.58 a
S33070.15 ± 0.02 bc1.7 ± 0.09 b26.55 ± 0.59 bc0.12 ± 0.01 b0.21 ± 0.01 ab75.2 ± 0.31 abc8.93 ± 0.23 a
D50CK0.14 ± 0.01 c1.24 ± 0.2 c23.32 ± 2.12 c0.09 ± 0.01 c0.19 ± 0 c72.72 ± 1.74 c8.4 ± 0.78 a
S33070.14 ± 0.01 c1.56 ± 0.1 bc24.26 ± 1.66 c0.11 ± 0.01 bc0.2 ± 0.01 bc73.64 ± 1.07 bc8.6 ± 0.73 a
seed filling periodD30CK0.17 ± 0.02 b1.76 ± 0.02 a37.76 ± 2.83 b0.14 ± 0 a0.32 ± 0.01 a77.78 ± 0.91 b9.45 ± 0.72 a
S33070.25 ± 0.02 a1.8 ± 0.07 a51.65 ± 1.65 a0.14 ± 0.01 a0.31 ± 0 a81.16 ± 0.28 a9.7 ± 0.32 a
D40CK0.14 ± 0.01 b1.72 ± 0.1 a32.07 ± 2.61 bcd0.14 ± 0.01 a0.33 ± 0.01 a75.7 ± 0.96 bcd7.72 ± 0.52 bc
S33070.16 ± 0.02 b1.74 ± 0.05 a35.15 ± 1.54 bc0.14 ± 0 a0.32 ± 0.01 a77.09 ± 0.51 bc8.74 ± 0.33 ab
D50CK0.14 ± 0.01 b1.62 ± 0.08 a28.23 ± 1.37 d0.13 ± 0.01 a0.31 ± 0 a74.05 ± 0.7 d7.19 ± 0.33 c
S33070.15 ± 0.01 b1.7 ± 0.03 a30.82 ± 1.06 cd0.14 ± 0 a0.32 ± 0.01 a75.39 ± 0.45 cd7.55 ± 0.14 bc
Analysis of variance
Density(D)22.166 **10.853 **42.366 **9.629 **2.682 ns26.256 **13.896 **
S3307(S)3.66 ns7.613 **16.127 **6.989 *0.038 ns8.91 **2.368 ns
Period(P)0.479 ns1.658 ns84.789 **30.727 **1070.104 **14.614 **5.625 *
D×S0.171 ns0.846 ns4.705 *0.902 ns1.261 ns0.631 ns0.147 ns
D × P0.022 ns4.071 *6.926 **3.695 *3.953 *0.468 ns0.626 ns
S × P6.577 *3.613 ns6.486 *1.636 ns1.858 ns1.504 ns0.131 ns
D × S × P4.598 *0.5 ns2.376 ns0.611 ns1.204 ns0.371 ns0.255 ns
Note: The values in the table are the means ± standard error (n = 5); different letters indicate that the difference between treatments reached significance at the level of p < 0.05, and the treatments are compared longitudinally. * and ** represent the significant levels of 5% and 1%, respectively, and ns indicates no significant difference.
Table 3. Yield and yield components of different treatment in 2021.
Table 3. Yield and yield components of different treatment in 2021.
CultivarTreatmentPod Number per PlantThe Internode of the First PodNumber of InternodesGrain Number per Plant100-Grain Weight (g)Grain Yield (kg/hm2)
HN84D20CK38.71 ± 0.71 bc4.14 ± 0.26 ab16.86 ± 0.26 a94.29 ± 4.07 b19.65 ± 0.5 ab2906.00 ± 65.65 cd
S330749.57 ± 1.65 a3.71 ± 0.18 b16.43 ± 0.37 a117.14 ± 4.83 a19.95 ± 0.27 ab2981.00 ± 60.20 c
D30CK36.00 ± 1.05 cd4.14 ± 0.26 ab17.00 ± 0.31 a88.57 ± 2.20 b20.42 ± 0.16 a3076.94 ± 63.85 bc
S330746.29 ± 1.96 a4.00 ± 0.22 ab16.71 ± 0.36 a110.43 ± 4.33 a20.15 ± 0.41 ab3333.35 ± 110.60 a
D40CK33.43 ± 0.84 d4.57 ± 0.2 a16.71 ± 0.29 a86.86 ± 1.24 b20.29 ± 0.10 a2735.06 ± 60.44 d
S330740.14 ± 0.91 b4.00 ± 0.22 ab17.14 ± 0.26 a95.43 ± 4.47 b19.21 ± 0.35 b3247.88 ± 45.90 ab
Analysis of variance
Density(D)16.941 **1.267ns0.141 ns7.547 **1.621 ns12.934 **
S3307(S)80.053 **4.267 *0.459 ns33.402 **1.743 ns39.593 **
D × S1.560 ns0.467 ns1.094 ns2.244 ns2.201 ns8.064 **
HN60D30CK36.57 ± 1.69 cd1.86 ± 0.14 ab12.14 ± 0.26 a101.00 ± 0.82 bc15.43 ± 0.23 b2906.00 ± 55.15 c
S330743.71 ± 1.21 a1.57 ± 0.20 b12.29 ± 0.29 a109.29 ± 2.63 a16.40 ± 0.15 a3333.35 ± 110.60 b
D40CK35.43 ± 1.09 cd2.29 ± 0.29 ab11.86 ± 0.14 a95.29 ± 4.33 c16.47 ± 0.35 a3247.88 ± 65.658 b
S330741.00 ± 1.27 ab2.14 ± 0.26 ab11.86 ± 0.14 a106.14 ± 1.81 ab15.70 ± 0.36 ab3615.33 ± 44.20 a
D50CK33.86 ± 1.01 d2.43 ± 0.30 ab11.86 ± 0.34 a82.14 ± 2.01 d15.87 ± 0.25 ab3162.41 ± 64.68 b
S330738.00 ± 1.45 bc2.14 ± 0.34 a11.71 ± 0.18 a99.00 ± 2.23 bc16.26 ± 0.19 ab3675.23 ± 50.16 a
Analysis of variance
Density(D)5.220 **2.803 ns1.86 ns17.355 **0.231 ns21.121 **
S3307(S)27.774 **1.230 ns0.00 ns33.588 **0.796 ns96.585 **
D × S0.660 ns0.49 ns0.18 ns1.504 ns5.551 *0.905 ns
Note: The values in the table are the means ± standard error (n = 5); different letters indicate that the difference between treatments reached significance at the level of p < 0.05, and the treatments are compared longitudinally. ns is p > 0.05, * and ** are p ≤ 0.05 and p ≤ 0.01, respectively.
Table 4. Yield and yield components of different treatment in 2023.
Table 4. Yield and yield components of different treatment in 2023.
CultivarTreatmentNumber of InternodesGrain Number per Plant100-Grain Weight (g)Grain Yield (kg/hm2)
HN84D20CK19.25 ± 0.16 a116.94 ± 1.33 bc18.94 ± 0.30 a2539.00 ± 77.96 c
S330719.38 ± 0.26 a128.13 ± 3.35 a19.03 ± 0.26 a2563.11 ± 38.56 c
D30CK19.13 ± 0.30 a113.94 ± 4.69 bc19.10 ± 0.27 a2805.26 ± 36.26 b
S330719.25 ± 0.31 a122.81 ± 4.86 ab19.38 ± 0.25 a2973.24 ± 69.55 a
D40CK19.13 ± 0.23 a111.00 ± 3.92 c18.69 ± 0.32 a2475.44 ± 25.04 c
S330719.50 ± 0.19 a114.81 ± 1.36 bc19.09 ± 0.27 a2576.44 ± 23.81 c
Analysis of variance
Density(D)0.170 ns3.689 *0.849 ns33.128 **
S3307(S)1.061 ns7.519 **1.268 ns5.761 *
D × S0.170 ns0.563 ns0.159 ns1.042 ns
Note: The values in the table are the means ± standard error (n = 5); different letters indicate that the difference between treatments reached significance at the level of p < 0.05, and the treatments are compared longitudinally. ns is p > 0.05,* and ** are p ≤ 0.05 and p ≤ 0.01, respectively.
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Yan, C.; Shan, F.; Wang, C.; Lyu, X.; Wu, Y.; Yan, S.; Ma, C. Positive Correlation of Lodging Resistance and Soybean Yield under the Influence of Uniconazole. Agronomy 2024, 14, 754. https://doi.org/10.3390/agronomy14040754

AMA Style

Yan C, Shan F, Wang C, Lyu X, Wu Y, Yan S, Ma C. Positive Correlation of Lodging Resistance and Soybean Yield under the Influence of Uniconazole. Agronomy. 2024; 14(4):754. https://doi.org/10.3390/agronomy14040754

Chicago/Turabian Style

Yan, Chao, Fuxin Shan, Chang Wang, Xiaochen Lyu, Yuanyi Wu, Shuangshuang Yan, and Chunmei Ma. 2024. "Positive Correlation of Lodging Resistance and Soybean Yield under the Influence of Uniconazole" Agronomy 14, no. 4: 754. https://doi.org/10.3390/agronomy14040754

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