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Article

The Effect of Sowing Date on Soybean Growth and Yield Under Changing Climate in the Southern Coastal Region of Korea

1
Department of Life Resources, College of Life Science and Natural Resources, Sunchon National University, Suncheon 57922, Republic of Korea
2
Department of Southern Area Crop Science, National Institute of Crop Science, Wanju 55365, Republic of Korea
3
Department of Crop Science, Chungbuk National University, Cheonju 28644, Republic of Korea
4
Department of Agricultural Life Science, College of Life Science and Natural Resources, Sunchon National University, Suncheon 57922, Republic of Korea
*
Author to whom correspondence should be addressed.
Agriculture 2025, 15(11), 1174; https://doi.org/10.3390/agriculture15111174
Submission received: 25 April 2025 / Revised: 27 May 2025 / Accepted: 27 May 2025 / Published: 29 May 2025
(This article belongs to the Section Crop Production)

Abstract

:
Sowing date significantly affects plant growth, development, and yield, holding a crucial role in soybean cultivation. This study was conducted in the southern coastal region of Korea under recent climate change conditions to investigate the effects of five different sowing dates on climatic characteristics, growth, and yield. Compared to historical data, the southern coastal region has experienced a consistent increase in average temperature during the soybean cultivation period, along with frequent abnormal summer climate events such as concentrated heavy rainfall and monsoons. These climate changes prolonged the vegetative growth period in earlier sowings, leading to an increased risk of lodging at maturity due to vigorous vegetative growth. Furthermore, earlier sowing delayed flowering and exposed plants to longer post-flowering photoperiods, consequently reducing the number of pods. Therefore, in the southern coastal region of Korea, it is crucial to re-evaluate conventional sowing practices and establish region-specific optimal dates, with careful consideration given to postponing the soybean sowing date to late June in order to enhance yield stability and improve the feasibility of double-cropping systems by shortening the growing period.

1. Introduction

Soybean (Glycine max L.) is one of the most important food crops globally, cultivated alongside rice, barley, wheat, and corn for centuries. It is widely grown across temperate, tropical, and subtropical regions. Serves as a key plant-based source of protein and fat, with increasing global demand. Its high utility value is reflected in its extensive use in various processed food products [1,2]. Soybeans are typically cultivated as a single crop; however, in the southern regions of Korea, they have traditionally been grown in double-cropping systems alongside winter crops such as onions, garlic, and winter barley, owing to regional climatic conditions. In recent years, however, global warming has led to an increase in soybean cultivation in double-cropping systems involving spring potatoes and spring cabbage [3].
Over the past century, the average temperature in Korea has risen by approximately 1.7 °C—more than twice the global average rate—and this warming trend is projected to continue. Under the Representative Concentration Pathway (RCP) 8.5 scenario, the average temperature may increase by up to 5 °C by the end of the 21st century [2,4,5].
This climate shift presents opportunities and challenges: it may enable the northward expansion of cultivation zones and lengthened growing seasons, and it increases the risk of crop damage from extreme weather events such as heatwaves, localized heavy rainfall, and droughts [4]. Although temperature increases within the optimal range can enhance photosynthesis and crop growth, exceeding this range (25~30 °C) can lead to significant growth inhibition and yield loss. For soybeans, temperatures above 37 °C during the flowering to maturation period can cause substantial reductions in yield [2,3,6,7,8].
Notably, variations in soybean yield have been linked to climatic conditions associated with different sowing dates [9]. Because each growth stage is affected by the prevailing environmental conditions at the time—such as temperature, photoperiod, and precipitation—the sowing date becomes a critical factor in determining growth and yield. Sowing times vary depending on the local climate, cropping system, and soybean variety. Selecting high-yielding varieties and determining their optimal sowing times is a fundamental strategy for ensuring stable cultivation and maximizing yield [1].
To address this, researchers have used the CROPGRO-Soybean model to simulate future soybean productivity under various sowing dates in the Korean Peninsula, considering climate change scenarios [3,10]. Studies also assessed the growth and yield of late-planted soybeans in response to warming trends [11] and identified suitable varieties based on soybean ecotypes and regional differences in key traits and yields across Korea’s central and southern regions [4,12].
However, limited research has focused specifically on adjusting sowing dates in response to climate change for the major soybean varieties cultivated in Korea’s southern coastal areas. Moreover, the standard soybean cultivation practices in this region—established in the late 1970s and early 1980s—are no longer fully aligned with the physiological characteristics of newly developed varieties or the current cultivation environment. This highlights the need to revisit and redefine optimal sowing dates for key varieties in the region [12].
Therefore, this study aims to precisely determine the optimal sowing time to ensure stable cultivation and maximized productivity for major soybean varieties in Korea’s southern coastal region under changing climate conditions.

2. Materials and Methods

2.1. Study Area and Soil Chemical Properties

The experiment was conducted over two years (2023–2024) at the experimental field of Sunchon National University in Jeollanam-do, South Korea (35°00′ N, 127°50′ E), using two soybean varieties: Daewon and Seonpung. These two soybean varieties (non-GMO) are widely utilized as major varieties in the South Korean fermented soybean product industry due to their suitable characteristics for manufacturing and superior quality. The physicochemical properties of the experimental soil are listed in Table 1. Soil samples were collected from a depth of 5–15 cm prior to the experiment to analyze their chemical characteristics. The experimental soil, a silty loam, showed a pH ranged from 6.19 to 6.43, and electrical conductivity (EC) ranged from 0.37 to 0.61 dS/m, which fell within the optimal range of below 2.0 dS/m.

2.2. Climate Analysis Method

Monthly average temperature, cumulative precipitation, and growing degree days (GDD) from May to October—the soybean cultivation period—were obtained from the Korea Meteorological Administration’s standard meteorological station located near the experimental site. These data were compared with 10-year climate normals spanning the past 30 years (1993–2002, 2003–2012, and 2013–2022) as well as the average values for 2023 and 2024.
GDD were calculated using daily average temperatures during the vegetative and reproductive growth stages, with the flowering stage serving as the reference point, by averaging the daily maximum and minimum temperatures and subtracting a crop-specific base temperature (10 °C).

2.3. Sowing Dates and Cultivation Methods

Sowing dates were determined based on the optimal sowing window for single cropping in the southern region of Korea, as recommended by the Rural Development Administration (RDA), which falls in early to mid-June. Five sowing schedules were implemented as follows: I (12, 16 May), II (24, 26 May), III (June 5), IV (14, 16 June), and V (24 June) (Table 2). Plants were spaced at 70 cm × 15 cm, with two plants per hill. Fertilizers were applied based on soil analysis, following the standard rate of N–P2O5–K2O at 3.0–3.0–3.4 kg ha⁻1, and incorporated as a basal application prior to rotary tillage. The experiments were performed in four replicates and randomized block design was used.
The experiments followed a split-plot design, with sowing dates as the main plots and soybean varieties as subplots. Each treatment was replicated four times in plots measuring 25 m2 (10 m × 2.5 m). Weed control after sowing was performed using Alachlor granules at a rate of 2 kg per 10a, with additional manual weeding conducted during the growing season. The lodging index was assessed at maturity, with plants inclined more than 45° classified into five grades based on the percentage of lodged plants: 1 (<5%), 3 (6–10%), 5 (11–50%), 7 (51–75%), and 9 (>76%).

2.4. Growth and Yield Characteristic Survey

Crop growth characteristics were assessed at the flowering stage (R2) for each treatment using 10 plants per replication with four replications. Measurements included plant height, stem diameter, number of branches, number of main stem nodes, leaf area index (LAI), and dry weight. At the maturity stage (R8), yield components were assessed using a completely randomized design with four replications per treatment, where ten randomly selected plants from each replication were sampled. The evaluated parameters included the number of pods per plant, the number of seeds per pod, the 100-seed weight, and the total yield per plant. The seed yields of the plots were converted into seed yields per hectare with 14% moisture. Seed size distribution was analyzed using a sieve shaker (Retsch, Haan, Germany, As200) equipped with international standard sieves (ISO mesh sizes) to classify seed sizes into the following categories: <4.75 mm, 5.6 mm, 6.7 mm, and >8.0 mm.

2.5. Statistical Analysis

All data were measured in triplicate, and statistical analyses were performed using ANOVA through SAS software (version 9.4; SAS Institute Inc., Cary, NC, USA). Duncan’s multiple range test was used to test for significant differences between treatments at the 5% significance level of mean values. The correlation between the treatment factors and growth and yield characteristics was analyzed using Pearson’s correlation at the 0.1%, 1%, and 5% levels.

3. Weather Conditions

Recent climate change, including global warming, has significantly affected the growth and development of soybeans, often leading to various physiological disorders. Among the environmental factors, temperature and precipitation play critical roles in determining soybean growth, yield, and quality [13,14]. An analysis of average temperature trends during the soybean growing season (May–October) in the southern coastal region of Korea from 1993 to 2024 (Figure 1A) revealed that the 10-year normal temperatures for the periods 1993–2002 and 2003–2012 were both 21.8 °C. However, the 10-year normal for 2013–2022 rose to 22.5 °C and the annual averages for 2023 and 2024 increased even more, reaching 23.1 °C and 24.2 °C, respectively. These rising temperatures are approaching the optimal range for soybean growth (25–30 °C) [15], suggesting potential improvements in cultivation conditions in the future.
Emergence is a critical stage in soybean cultivation, marking the beginning of independent nutritional life as chloroplasts form in above-ground organs. This stage is highly influenced by environmental factors such as temperature and soil moisture [16]. Healthy emergence supports early crop establishment, enhances resistance to pests and diseases, and improves adaptability to environmental changes. The minimum temperature required for soybean emergence is 8 °C [13]; temperatures below this threshold can lead to cold damage. In 2023 and 2024, minimum temperatures during the sowing period (mid-May to late June) were 12.2 °C and 8.6 °C, respectively, indicating favorable conditions for emergence and early growth without cold damage.
Total precipitation during the soybean growing period (May to October) was 1649 mm in 2023 and 1906 mm in 2024 (Figure 1B), representing increases of 55.3% and 79.0%, respectively, compared to the 30-year average of 1061 mm (based on the periods 1993–2002, 2003–2012, and 2013–2022). These results indicate that precipitation in the past two years was significantly higher than the historical average. In Korea, approximately 50% of the annual precipitation typically occurs during the summer months of June and July [17]. Compared to the 30-year average of 51.9% for this period, the proportion of summer precipitation increased by 15.6% in 2023 (67.5%) and by 9.3% in 2024 (61.2%).
Consequently, during July—the mid-growth stage of soybeans—excessive rainfall, reduced sunlight, and increased pest and disease pressures had a considerable impact [4,17]. Excessive moisture for more than four days after flowering is a major factor contributing to yield reduction [13]. Persistent soil saturation during this period can inhibit root respiration, reduce nitrogen fixation by symbiotic bacteria, and increase vulnerability to root diseases such as Phytophthora root rot and Pythium damping-off, which thrive in wet conditions [18,19]. Studies show that severe instances of these moisture-induced diseases can lead to soybean yield losses ranging from 5% to 10% [20]. In July 2024, humid conditions persisted for 19 days, likely exerting a greater negative effect on soybean yield compared to the 12 humid days recorded in 2023.
Additionally, temporary drought during the pod-filling stage in August is a key factor affecting pod number and seed size [21,22]. In August 2024, total precipitation was just 76.2 mm—79.4% lower than the 371.2 mm recorded in August 2023—likely contributing to reduced seed size and overall yield.
In summary, the warming trend in the southern coastal region of Korea over the past three decades has brought temperatures closer to the optimal range for soybean growth, whereas abnormal climate events such as heavy rainfall during the reproductive stages (June–July) and drought during pod filling (August) are expected to negatively impact seed filling and yield. Soybeans are particularly sensitive to high temperatures and excess moisture, both of which can significantly disrupt reproductive development [18]. This underscores the importance of adopting agricultural management strategies, such as selecting heat- and moisture-tolerant varieties and adjusting sowing schedules to avoid periods of peak environmental stress during soybean cultivation in an increasingly variable climate.

4. Result and Discussion

4.1. Growing Degree Days and Days Required for Major Growth Stages by Sowing Date

The total accumulated temperature by sowing date for each soybean variety in 2023 and 2024 is presented in Figure 2. In 2023, Daewon and Seonpung exhibited a gradual decrease in growing degree days (GDD) from sowing group I to group V. The GDD ranged from 2811–3471 °C for Daewon and 2985–3731 °C for Seonpung, all of which were within or above the 2500–3000 °C range generally considered necessary for economically viable soybean production [4]. Notably, Daewon maintained GDD values above 3000 °C up to sowing group III, whereas Seonpung did so up to group IV.
A similar trend was observed in 2024. The highest GDD values were recorded in sowing group I—3816 °C for Daewon and 3952 °C for Seonpung—whereas the lowest occurred in group V, at 3090 °C and 3126 °C, respectively. Importantly, all sowing groups in 2024 exceeded 3000 °C. While appropriate GDD is essential for crop growth, excessively high GDD can induce heat stress, shorten the growth cycle, exacerbate water stress, and heighten pest and disease pressures, ultimately leading to severe negative impacts on yield and quality.
These results suggest that, owing to recent climate changes, economic soybean production may still be feasible, even with sowing delayed to late June. Accordingly, adjusting the sowing schedule in double-cropping systems involving winter crops in Korea’s southern coastal regions could not only enhance economic returns but also improve management efficiency. Moreover, revising the minimum effective accumulated temperature required for soybean cultivation to ensure economically viable yields under changing climate conditions may be necessary, and further research should explore the upper limit of suitable sowing dates.
Changes in the number of days required to reach the flowering (R2), seed-filling (R6), and maturity (R8) stages by sowing date for each variety are listed in Table 3. For Daewon and Seonpung, the number of days from sowing to R2, R6, and R8 generally shortened as the sowing date was delayed from group I to group V in both years.
Specifically, for Daewon, the time to reach R8 in sowing group I was the longest—138 days in 2023 and 148 days in 2024—and gradually decreased with later sowing. In sowing group V, R8 was reached in just 110 days (2023) and 117 days (2024), reflecting reductions of 28 and 31 days, respectively. Seonpung showed a similar trend, with 152 and 155 days required to reach R8 in group I during 2023 and 2024, decreasing to 121 and 119 days in group V—a reduction of 31 and 36 days, respectively.
These findings, which demonstrate a gradual reduction in growth duration with delayed sowing, are consistent with the results reported by Oh et al. [1] and Lee et al. [4]. Although influenced by factors such as sunlight hours, temperature, and soil moisture, growth periods shorten under high average temperatures and are further accelerated under short-day conditions [1,23,24]. As shown in Figure 1A of this study, average monthly temperatures increased from mid-May to late June, exposing the crop to high temperatures and shorter daylight durations, which promote flowering [1]. This supports the observed reduction in growth duration from sowing group I to group V.
When comparing total days to R8 across sowing dates and years, Daewon showed a consistent 16-day difference between groups I and V in 2023 and 2024. For Seonpung, the difference was 12 days in 2023 and 15 days in 2024. Despite the ~45-day difference in sowing dates between groups I (mid-May) and V (late June), the actual difference in harvest timing was only 12–16 days. This suggests that early sowing does not substantially advance the harvest date. Consequently, in the context of double-cropping systems with winter crops, earlier sowing offers limited advantages in terms of timing for subsequent crops. Therefore, in the southern coastal regions of Korea, this study underscores the importance of adjusting soybean sowing dates later rather than earlier to optimize economic efficiency, minimize the required growing period, and reduce the total duration of field operations.

4.2. Growth Characteristics, Correlations, and Lodging Index by Sowing Date

The growth characteristics of soybeans at the flowering stage (R2)—including plant height, stem diameter, number of branches, number of main stem nodes, LAI, and dry weight—were analyzed according to sowing date (Table 4). In general, all traits except the number of branches showed a declining trend with delayed sowing.
For the Daewon variety in 2023 and 2024, the tallest plants were recorded in sowing group I, reaching 63.5 cm and 93.2 cm, respectively. As sowing was delayed, plant height decreased progressively, reaching a minimum of 41.4 cm and 44.0 cm in sowing group V—representing reductions of 34.8% and 52.7%, respectively. Stem diameter and the number of main stem nodes also declined with delayed sowing. In sowing group V, these values were reduced by 15.3% (5.5 mm) and 13.8% (11.8 nodes), respectively, compared to group I. Similarly, LAI and dry weight were highest in the early sowing groups (I–II), exceeding 4.6 and 14.4 g, respectively.
A similar trend was observed for the Seonpung variety across both years, with plant height, stem diameter, number of main stem nodes, LAI, and dry weight all declining with delayed sowing. The lowest values were consistently found in sowing group V, except for the number of branches, which remained relatively unchanged.
These patterns were further supported by correlation analysis (Table 5), which revealed statistically significant negative correlations between sowing date and key R2 growth traits: plant height (r = −0.513 ***), stem diameter (−0.390 **), number of main stem nodes (−0.542 ***), LAI (−0.407 **), and dry weight (−0.447 ***).
In agreement with previous studies by Clovis et al. [25] and Haoyu et al. [26], our results confirm that later sowing dates lead to reductions in plant height, main stem node number, and LAI. This is likely due to the shortened vegetative growth period associated with delayed sowing, which limits photo-assimilate accumulation [27] and thus hinders vegetative development. Overall, the results indicate that earlier sowing promotes superior growth characteristics during the R2 stage in terms of plant height, stem diameter, number of main stem nodes, LAI, and dry weight—excluding the number of branches.
Figure 3 shows the lodging index at maturity according to the planting date for each year. Across two years, planting group I showed the highest average lodging index of 8 in both Daewon and Seonpung cultivars. However, as planting was delayed, the lodging index gradually decreased, showing the lowest index of below 4 in planting group V. This is because early planting leads to a long vegetative growth period and excessive vegetative growth induced by increased photosynthetic activity. This results in taller plants, higher leaf area index (LAI), and greater biomass accumulation, all of which contribute to a higher lodging index [1,4]. Therefore, early planting of soybeans can significantly increase the risk of lodging and consequently negatively impact quality and yield.

4.3. Yield Components and Correlations by Sowing Date

The results of examining the changes in the yield components of soybean varieties according to sowing date are listed in Table 6. First, although the number of seeds per pod and 100-seed weight did not show significant differences across sowing dates in either Daewon or Seonpung over the years, the number of pods per plant tended to increase with later sowing. In the Daewon variety, the number of pods per plant was lowest in sowing group I, with 32.5 and 31.7 pods in 2023 and 2024, respectively. In contrast, the highest values were recorded in sowing group V, with 46.8 and 39.5 pods, representing an average increase of over 31.4% compared to group I. A similar trend was observed in the Seonpung variety, where the number of pods per plant increased with later sowing in both years. The highest values were again found in sowing group V, with 43.8 and 39.0 pods in 2023 and 2024, respectively. These results indicate that the number of pods per plant—a key yield component—increased progressively with delayed sowing and peaked in sowing group V.
Seed yield also exhibited an increasing trend with later sowing (Figure 4). For the Daewon variety, the highest yields in 2023 and 2024 were recorded in sowing group V, showing increases of 42.2% (3230 kg ha−1) and 40.0% (2940 kg ha−1), respectively, compared to group I. Likewise, in the Seonpung variety, sowing group V produced the highest yields of 3530 kg ha−1 in 2023 and 3120 kg ha−1 in 2024—representing yield improvements of over 44.4% relative to sowing group I, which recorded the lowest yields.
These trends were clearly supported by the correlations between yield components and sowing date (Table 7), where highly significant positive correlations were found for the number of pods per plant (r = 0.710 ***) and seed yield (r = 0.719 ***).
Therefore, in Daewon and Seonpung the number of pods per plant increased with later sowing dates, leading to the highest yields in sowing group V. This finding contrasts with the results reported by Haoyu et al. [26] and Spyridon et al. [28], who suggested that earlier sowing promotes rapid initial growth, resulting in a longer vegetative phase, faster node formation, earlier flowering, and consequently, increased pod numbers and yields.
This discrepancy is likely due to differing climatic conditions. Shandong Province in China, studied by Haoyu et al. [26], has a cooler average summer temperature (14.0 °C) and a temperate monsoon climate with annual rainfall of 600–800 mm. In contrast, the southern coastal region of Korea experiences a subtropical climate, with high average monthly temperatures during the growing season (26.3 °C in 2024), along with strong winds, heavy monsoon rains, and typhoons in June–July.
Earlier sowing in this region leads to higher cumulative effective temperatures and a prolonged vegetative period, resulting in excessive vegetative growth. Concentrated rainfall during the flowering period (Figure 1B), caused by extreme weather events, reduces photosynthesis and disrupts nutrient translocation, increasing lodging risk [4] and ultimately decreasing grain filling rates and yield.
Although earlier sowing extends the vegetative phase, it can delay flowering and expose plants to longer photoperiods post-flowering. Because soybeans are short-day plants—where flowering is induced under shorter daylight conditions—this can reduce pod formation and negatively impact yield, consistent with findings from other studies [1,11,29,30].
In conclusion, under the recent climate conditions in Korea’s southern coastal region, the number of pods per plant and seed yield—key yield components of soybeans—increased with later sowing dates, with the highest yields observed in the latest sowing group (group V).

4.4. Seed Quality by Sowing Date

The results of comparing the proportion of seed sizes according to soybean sowing date are listed in Table 8. In terms of seed diameter, the proportion of medium-sized seeds (≥ 6.7 mm) tended to increase with later sowing dates. In Daewon, the proportion of seeds with a diameter of ≥6.7 mm in sowing group V increased by an average of 11.4% across the years compared to sowing group I. Seonpung exhibited a similar trend, with an increase of up to 13.6% in sowing group V relative to group I over the years.
This trend is likely due to the effects of sowing earlier than the conventional optimal time. Early sowing leads to a longer vegetative growth period and increased accumulation of photo-assimilates, as noted by Lee et al. [4] and Violeta et al. [27]. This excessive growth increases the likelihood of lodging, which in turn reduces photosynthetic efficiency and disrupts nutrient distribution. These factors ultimately decrease the grain-filling rate and negatively impact seed size. This interpretation is further supported by the observed decline in the proportion of seeds with a diameter of ≥6.7 mm when moving from sowing group V to group I. Therefore, the proportion of medium-sized seeds (≥6.7 mm) in soybeans increased with later sowing and was highest in sowing group V.

5. Conclusions

This study aimed to determine the optimal soybean sowing date for the southern coastal region of Korea under current climate change by examining its effects on growth, yield attributes, and seed quality. Firstly, the southern coastal region has experienced a consistent increase in average temperature during the soybean cultivation period compared to historical data, coupled with frequent abnormal summer climate events such as concentrated heavy rainfall and monsoons. This climate change prolonged the vegetative growth phase in earlier sowings, leading to increased lodging risk at maturity due to vigorous vegetative growth. Furthermore, it delayed flowering and exposed plants to longer post-flowering photoperiods, consequently reducing the number of pods. Additionally, these effects also resulted in a decline in seed quality.
Therefore, for this region, careful consideration should be given to postponing the soybean sowing date to late June—later than the traditionally recommended early- to mid-June period. Future research should focus on actively implementing strategies such as irrigation and the utilization of disease-tolerant cultivars to minimize yield losses resulting from increasingly frequent extreme weather events, and on modeling optimal sowing windows that incorporate projected climate scenarios to ensure sustainable production.

Author Contributions

Formal analysis, J.Y. and J.S.; investigation, S.C., P.S., J.S., and S.J.; writing—original draft preparation, S.C.; writing—review and editing, S.J.; supervision, S.J.; project administration, P.S. and J.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Research Program for Agricultural Science and Technology Development (Project No. RS-2023-00215864) of the Rural Development Administration, Republic of Korea.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Oh, S.Y.; Choi, J.S.; Kim, T.H.; Oh, S.H. Influence of Sowing Date on Seed Yield and Quality of Black Soybean (Glycine max L.) Merrill cv. Cheongja-3ho) in the Southern Paddy Field. Korean J. Agric. For. Meteorol. 2023, 25, 326–336. [Google Scholar]
  2. Sang, W.G.; Baek, J.K.; Kwon, D.W.; Cho, J.I. Impact of Climate Change on Yield and Canopy Photosynthesis of Soybean. Korean J. Agric. For. Meteorol. 2022, 24, 275–284. [Google Scholar]
  3. Chung, U.R.; Cho, H.S.; Kim, J.H.; Sang, W.G.; Shin, P.; Seo, M.C.; Jung, W.S. Responses of Soybean Yield to High Temperature Stress during Growing Season: A Case Study of the Korean Soybean. Korean J. Agric. For. Meteorol. 2016, 18, 188–198. [Google Scholar] [CrossRef]
  4. Lee, J.E.; Jung, G.F.; Kim, S.K.; Kim, M.T.; Shin, S.H.; Jeon, W.T. Effects of Growth Period and Cumulative Temperature on Flowering, Ripening and Yield of Soybean by Sowing Times. Korean J. Crop Sci. 2019, 64, 406–413. [Google Scholar]
  5. IPCC. Climate Change: Synthesis Report; Intergonernmental Panel on Climate Change Geneva; IPCC: Geneva, Switzerland, 2014. [Google Scholar]
  6. Hatfield, J.L.; Boote, K.J.; Kimball, B.A.; Ziska, L.H.; Izaurralde, R.C. Climate impacts on agriculture: Implications for crop production. Agron. J. 2011, 103, 351–370. [Google Scholar] [CrossRef]
  7. Wheeler, T.; Braun, J.V. Climate Change Impacts on Global Food Security. Science 2013, 341, 508–513. [Google Scholar] [CrossRef]
  8. Gibson, L.R.; Mullen, R.E. Soybean seed quality reductions by high day and night temperature. Crop Sci. 1996, 36, 1615–1619. [Google Scholar] [CrossRef]
  9. Meotti, G.V.; Benin, G.; Silva, R.R.; Beche, E.; Mumaro, L.B. Épocas de semeadura e desempenho agronômico de cultivares de soja. Pesqui. Agropecuária Bras. 2012, 47, 14–21. [Google Scholar] [CrossRef]
  10. Kim, D.J.; Kim, S.O.; Moon, K.H.; Yun, J.I. An outlook on cereal grains production in South Korea based on crop growth simulation under the RCP 8.5 climate condition. Korean J. Agric. For. Meteorol. 2012, 14, 132–141. [Google Scholar] [CrossRef]
  11. Park, H.J.; Han, W.Y.; Oh, K.W.; Kim, H.T.; Shin, S.O.; Lee, B.W.; Ko, J.M.; Baek, I.Y. Growth and yield components responses to delayed planting of soybean in Southern region of Korea. Korean J. Crop Sci. 2014, 59, 483–491. [Google Scholar] [CrossRef]
  12. Kim, D.K.; Choi, J.G.; Park, H.G.; Shin, H.R.; Yoon, S.T.; Lee, K.D.; Rim, Y.S. Ecological characteristics and yield of major soybean cultivars at different sowing times in southern Korea. Korean J. Crop Sci. 2013, 58, 57–66. [Google Scholar] [CrossRef]
  13. Ko, J.Y.; Baek, I.Y.; Kang, B.K.; Seo, J.H.; Yun, Y.N.; Jang, Y.W.; Lee, H.J.; Yun, H.T.; Han, W.Y. Agricultural Technology Guide (Soybean); RDA: Jeonju, Republic of Korea, 2021. [Google Scholar]
  14. Ogunkanmi, L.; MacCarthy, D.S.; Adiku, S.G.K. Impact of Extreme Temperature and Soil Water Stress on the Growth and Yield of Soybean (Glycine max L.) Merrill). Agriculture 2022, 12, 43. [Google Scholar] [CrossRef]
  15. Shim, S.I.; Park, C.S.; Cho, J.W.; Woo, S.H. Food Crop Science (Upland Crops); Hyangmunsa: Seoul, Republic of Korea, 2019; p. 254. [Google Scholar]
  16. Alsajri, F.A.; Wijewardana, C.; Krutz, L.J.; Irby, J.T.; Golden, B.; Reddy, K.R. Quantifying and Validating Soybean Seed Emergence Model as a Function of Temperature. Am. J. Plant Sci. 2019, 10, 111–124. [Google Scholar] [CrossRef]
  17. Kwon, H.H.; Khalil, A.F.; Siegfried, T. Analysis of extreme Summer rainfall using Climate Teleconnections and Typhoon Characteristics in South Korea. Am. Water Resour. Assoc. 2008, 44, 436–448.s. [Google Scholar] [CrossRef]
  18. Seo, J.H.; Park, J.S.; Choi, M.S.; Jung, K.Y.; Chun, H.C.; Lee, S.H.; Gong, D.H.; Chae, S.E.; Jeon, S.H.; Yoon, D.K. Growth and Yield Response of Soybean (Glycine max L.) in Relation to Sowing Date in the Southern Region of South Korea. Agronomy 2024, 14, 2624. [Google Scholar] [CrossRef]
  19. Williamson, R.E.; George, J.K. Response of Agricultural Crops to Flooding, Depth-Of Water Table and Soil Gaseous Composition. Trans. ASAE 1970, 13, 216–220. [Google Scholar]
  20. Koo, S.C.; Kim, H.T.; Kang, B.K.; Lee, Y.H.; Oh, K.W.; Kim, H.Y.; Baek, I.Y.; Yun, H.T.; Choi, M.S. Screening of Flooding Tolerance in Soybean Germplasm Collection. Korean J. Breed. Sci. 2014, 46, 129–135. [Google Scholar] [CrossRef]
  21. Chathurika, W.; Reddya, K.R.; Nacer, B. Soybean seed physiology, quality, and chemical composition under soil moisture stress. Food Chem. 2019, 278, 92–100. [Google Scholar]
  22. Desouza, P.I.; Egli, D.B.; Bruening, W.P. Water stress during seed filling and leaf senescence in soybean. Agronomy 1997, 89, 807–812. [Google Scholar] [CrossRef]
  23. Board, J.E.; Hall, W. Premature flowering in soybean yield reductions at non optimal planting dates as influenced by temperature and photoperiod. Agron. J. 1984, 76, 700–704. [Google Scholar] [CrossRef]
  24. Kantolic, A.; Slafer, G. Development and seed number in indeterminate soybean as affected by timing and duration of exposure to long photoperiods after flowering. Ann. Bot. 2007, 99, 925–933. [Google Scholar] [CrossRef] [PubMed]
  25. Clovis, P.J.; Jackson, K.; Marcelo, B.; Marcelo, M.L.M.; Murilo, V.D.C.; Leandro, M. Phenological and quantitative plant development change in soybean cultures caused by sowing date and their relation to yield. Afr. J. Agric. Res. 2015, 10, 515–523. [Google Scholar] [CrossRef]
  26. Haoyu, Z.; Li, Z.; Jun, Z.; Hongbao, S.; Datong, Z.; Axiang, Z.; Fu, C.; Matthew, T.H.; Xiaogang, Y. Optimal sowing time to adapt soybean production to global warming with different cultivars in the Huanghuaihai Farming Region of China. Field Crops Res. 2024, 312, 109386. [Google Scholar]
  27. Violeta, M.; Snezana, D.; Nikola, D.; Zorica, B.; Vesna, K.; Maja, P.; Milan, B. Genotype and Sowing Time Effects on Soybean Yield and Quality. Agriculture 2020, 10, 502. [Google Scholar] [CrossRef]
  28. Spyridon, M.; James, E.S.; Shawn, P.C. Defining Optimal Soybean Sowing Dates across the US. Sci. Rep. 2019, 9, 2800. [Google Scholar]
  29. Kumudini, S.V.; Pallikonda, P.K.; Steele, C. Photoperiod and e-genes influence the duration of the reproductive phase in soybean. Crop Sci. 2007, 47, 1510–1517. [Google Scholar] [CrossRef]
  30. Egli, D.B.; Cornelius, P.L. A regional analysis of the response of soybean yield to planting date. Agron J. 2009, 101, 330–335. [Google Scholar] [CrossRef]
Figure 1. Average monthly temperatures (A) and accumulated rainfall (B) for the past 10 year period (1993–2002, 2003–2012, 2013–2022), 2023 and 2024. Jun.: june; Jul.: july; Aug.: august; Sep.: september; Oct.: october.
Figure 1. Average monthly temperatures (A) and accumulated rainfall (B) for the past 10 year period (1993–2002, 2003–2012, 2013–2022), 2023 and 2024. Jun.: june; Jul.: july; Aug.: august; Sep.: september; Oct.: october.
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Figure 2. Accumulated temperature according to soybean sowing date in 2023 and 2024. D: daewon, S: seonpung, I: (12, 16 May), II: (24, 26 May), III: (5 June), Ⅳ: (14, 16 June), Ⅴ: (24 June).
Figure 2. Accumulated temperature according to soybean sowing date in 2023 and 2024. D: daewon, S: seonpung, I: (12, 16 May), II: (24, 26 May), III: (5 June), Ⅳ: (14, 16 June), Ⅴ: (24 June).
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Figure 3. Loding index according to soybean sowing date in 2023 and 2024. (A) daewon (B): Seonpung. I: (12, 16 May), II: (24, 26 May), III: (5 June), IV: (14, 16 June), V: (24 June). Lodging index: Area of object tilted more than 45°: 1 (<5%), 3 (6~10%), 5 (11~50%), 7 (51~75%), 9 (>76%).
Figure 3. Loding index according to soybean sowing date in 2023 and 2024. (A) daewon (B): Seonpung. I: (12, 16 May), II: (24, 26 May), III: (5 June), IV: (14, 16 June), V: (24 June). Lodging index: Area of object tilted more than 45°: 1 (<5%), 3 (6~10%), 5 (11~50%), 7 (51~75%), 9 (>76%).
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Figure 4. Soybean yields by sowing date in 2023 and 2024. Different uppercase and lowercase letters in the figure indicate statistically significant differences between treatments at p < 0.05 as determined by ANOVA, followed by Tukey’s post hoc test. (A) daewon, (B) Seonpung, I: (12, 16 May), II: (24, 26 May), III: (5 June), Ⅳ: (14, 16 June), Ⅴ: (24 June).
Figure 4. Soybean yields by sowing date in 2023 and 2024. Different uppercase and lowercase letters in the figure indicate statistically significant differences between treatments at p < 0.05 as determined by ANOVA, followed by Tukey’s post hoc test. (A) daewon, (B) Seonpung, I: (12, 16 May), II: (24, 26 May), III: (5 June), Ⅳ: (14, 16 June), Ⅴ: (24 June).
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Table 1. The chemical properties of the topsoil (5–15 cm) in the field before the experiment in 2023 and 2024.
Table 1. The chemical properties of the topsoil (5–15 cm) in the field before the experiment in 2023 and 2024.
YearpH
(1:5)
EC
(ds m−1)
OM
(g kg−1)
P2O5
(mg kg−1)
Ex. Cation (cmol kg−1)
KCaMgNa
20236.190.6126.02251.126.622.420.13
20246.430.3731.22761.169.373.650.16
EC, electrical conductivity; OM, organic matter.
Table 2. Sowing dates in 2023 and 2024.
Table 2. Sowing dates in 2023 and 2024.
YearSowing Date
IIIIIIIVV
2023 12 May26 May5 June16 June24 June
2024 16 May24 May5 June14 June24 June
Table 3. The number of days from sowing to full bloom, full seed, and full maturity about sowing date in 2023 and 2024.
Table 3. The number of days from sowing to full bloom, full seed, and full maturity about sowing date in 2023 and 2024.
CultivarYearSowing
Date
Number of Days from Sowing to
Full Bloom (R2)
Number of Days from Sowing to
Full Seed (R6)
Number of Days from Sowing to
Full Maturity (R8)
Daewon2023I5196138
II4485126
III4476118
IV3872114
V3974110
2024I52100148
II4792140
III4781129
IV3879127
V3776117
Seonpung2023I69116152
II59102140
III5893134
IV5382127
V5084121
2024I69114155
II61106147
III5698136
IV5489127
V4885119
I: (12, 16 May), II: (24, 26 May), III: (5 June), IV: (14, 16 June), V: (24 June).
Table 4. The change of soybean growth characteristics at flowering (R2) in 2023 and 2024.
Table 4. The change of soybean growth characteristics at flowering (R2) in 2023 and 2024.
CultivarYearSowing
Date
Plant
Height
Stem DiameterNo. of
Branch
Node No. of Main StemLAIDry
Weight
cmmmPlant−1 g
Daewon2023I63.5 a6.5 a3.7 a13.7 a4.6 a14.8 a
II59.1 b6.2 a3.5 a13.5 a4.6 a14.4 a
III57.8 b5.6 b3.8 a 13.0 ab4.1 a12.3 b
IV52.5 c5.6 b4.1 a12.7 b2.7 b9.8 c
V41.4 d5.5 c4.1 a11.8 c2.4 b7.9 d
2024I93.2 a9.4 a4.3 a14.3 a7.1 a26.3 a
II88.8 b9.1 b4.0 a 14.0 ab6.8 ab23.7 b
III76.0 c8.9 ab4.5 a13.7 b6.3 b21.3 c
IV75.1 c7.7 b4.2 a13.0 b4.9 c17.5 d
V44.0 d6.3 c4.3 a11.3 c4.1 c15.5 e
Seonpung2023I56.5 a10.6 a3.8 a17.0 a8.9 a35.6 a
II56.0 a9.3 b4.0 a16.0 b8.3 b30.9 b
III55.8 b9.1 b3.7 a15.8 b8.3 b30.1 b
IV55.2 b8.6 c4.0 a15.0 c7.6 c27.5 c
V53.8 c8.5 c4.2 a14.0 d6.8 d25.2 d
2024I76.8 a9.8 a4.0 a16.5 a8.8 a35.2 a
II75.8 a9.5 ab4.3 a 16.3 ab8.5 ab32.3 b
III73.7 b8.8 b4.5 a15.3 b7.8 b28.9 c
IV66.2 c8.5 c4.3 a15.7 b7.2 c24.4 d
V67.2 c8.5 c4.4 a13.8 c6.1 b21.9 e
I: (12, 16 May), II: (24, 26 May), III: (5 June), IV: (14, 16 June), V: (24 June). Different lowercase letters in the table indicate statistically significant differences between treatments at p < 0.05 as determined by ANOVA, followed by Tukey’s post hoc test.
Table 5. Correlation of growth characteristics by year, cultivar, and sowing date treatments. Soil moisture content by subsurface drainage methods.
Table 5. Correlation of growth characteristics by year, cultivar, and sowing date treatments. Soil moisture content by subsurface drainage methods.
TreatmentsPlant
Height
Stem DiameterNo. of
Branches
Node no. of Main StemsLAIDry
Weight
sowing
time
−0.513 ***−0.390 **0.205 ns−0.542 ***−0.407 **−0.447 ***
cultivar−0.053 ns0.653 ***0.212 ns0.750 ***0.760 ***0.779 ***
Year0.678 ***0.344 **0.406 **0.057 ns−0.009 ns0.311 *
ns: No significance; ***: p < 0.001, **: p < 0.01; *, p < 0.05.
Table 6. The yield components by sowing date in 2023 and 2024.
Table 6. The yield components by sowing date in 2023 and 2024.
CultivarYearSowing
Date
Pod NumberSeed Number100-Seed Weight
No. Plant−1No. Pod−1g
Daewon2023I32.5 c1.8 a21.9 a
II40.7 b1.9 a22.2 a
III41.5 b1.8 a22.3 a
IV44.7 ab1.8 a21.8 a
V46.8 a1.8 a21.8 a
2024I31.7 c1.6 a21.8 a
II35.6 b1.7 a21.7 a
III37.0 b1.7 a21.5 a
IV38.3 ab1.8 a21.5 a
V39.5 a1.8 a21.9 a
Seonpung2023I30.1 d1.9 a22.8 a
II41.5 c2.0 a22.5 a
III41.1 c2.0 a22.2 a
IV42.8 b2.0 a22.5 a
V43.8 a2.0 a22.6 a
2024I26.5 d1.9 a22.6 a
II34.6 c1.9 a22.4 a
III36.9 b1.9 a22.3 a
IV37.3 ab2.0 a22.1 a
V39.0 a1.9 a22.0 a
I: (12, 16 May); II: (24, 26 May); III: (5 June); IV: (14, 16 June); V: (24 June). Different lowercase letters in the table indicate statistically significant differences between treatments at p < 0.05 as determined by ANOVA, followed by Tukey’s post hoc test.
Table 7. Correlation of yield component by year, cultivar, and sowing date treatments.
Table 7. Correlation of yield component by year, cultivar, and sowing date treatments.
TreatmentsPod NumberSeed Number100-Seed WeightYield
Sowing
time
0.710 ***0.254 ns−0.277 ns0.719 ***
Cultivar−0.146 ns0.808 ***0.757 ***0.427 ns
Year−0.486 *−0.359 ns−0.378 ns−0.100 ns
ns: No significance; ***: p < 0.001; *: p < 0.05.
Table 8. The change of soybean seed size by sowing date in 2023 and 2024.
Table 8. The change of soybean seed size by sowing date in 2023 and 2024.
CultivarYearSowing
Date
<4.75 mm4.75~5.6 mm5.6~6.7 mm6.7~8.0 mm>8.0 mm
%
Daewon2023I4.29.819.067.00.0
II3.66.315.175.00.0
III1.92.915.977.32.0
IV0.51.018.278.41.9
V0.50.314.180.94.2
2024I0.32.149.845.72.1
II0.52.046.149.71.7
III0.42.944.750.02.0
IV0.61.641.655.11.1
V0.41.935.259.43.1
Seonpung2023I1.53.338.456.80.0
II0.63.035.160.21.1
III0.81.031.764.52.0
IV0.60.427.869.22.0
V0.50.225.371.52.5
2024I0.01.047.151.10.8
II0.00.943.954.70.5
III0.31.447.850.30.2
IV0.30.739.658.60.8
V0.30.337.560.91.0
I: (12, 16 May), II: (24, 26 May), III: (5 June), IV: (14, 16 June), V: (24 June).
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Chae, S.; Shin, P.; Youn, J.; Sung, J.; Jeon, S. The Effect of Sowing Date on Soybean Growth and Yield Under Changing Climate in the Southern Coastal Region of Korea. Agriculture 2025, 15, 1174. https://doi.org/10.3390/agriculture15111174

AMA Style

Chae S, Shin P, Youn J, Sung J, Jeon S. The Effect of Sowing Date on Soybean Growth and Yield Under Changing Climate in the Southern Coastal Region of Korea. Agriculture. 2025; 15(11):1174. https://doi.org/10.3390/agriculture15111174

Chicago/Turabian Style

Chae, SeEun, Pyeong Shin, JongTag Youn, JwaKyung Sung, and SeungHo Jeon. 2025. "The Effect of Sowing Date on Soybean Growth and Yield Under Changing Climate in the Southern Coastal Region of Korea" Agriculture 15, no. 11: 1174. https://doi.org/10.3390/agriculture15111174

APA Style

Chae, S., Shin, P., Youn, J., Sung, J., & Jeon, S. (2025). The Effect of Sowing Date on Soybean Growth and Yield Under Changing Climate in the Southern Coastal Region of Korea. Agriculture, 15(11), 1174. https://doi.org/10.3390/agriculture15111174

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