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Article

Evaluation of Late-Season Short- and Long-Duration Rice Cultivars for Potential Yield under Mechanical Transplanting Conditions

1
Crop and Environment Research Center, College of Agronomy, Hunan Agricultural University, Changsha 410128, China
2
Hengyang Institute of Agricultural Sciences, Hengyang 421101, China
3
Guangxi Key Laboratory of Rice Genetics and Breeding, Rice Research Institute, Guangxi Academy of Agricultural Sciences, Nanning 530007, China
4
Agronomy Department, Faculty of Agriculture, Assiut University, Assiut 71526, Egypt
*
Authors to whom correspondence should be addressed.
Agronomy 2020, 10(9), 1307; https://doi.org/10.3390/agronomy10091307
Submission received: 17 July 2020 / Revised: 28 August 2020 / Accepted: 31 August 2020 / Published: 2 September 2020
(This article belongs to the Section Innovative Cropping Systems)

Abstract

:
The development of large-scale farming has encouraged the adoption of mechanical transplanting techniques for rice production. However, the increased farming operation times that often occur under large-scale farming conditions necessitate shortening the duration of rice growth, especially that of late-season rice; therefore, rice cultivars with short growth durations are popular under such conditions. A field experiment using two short-duration rice cultivars (SRCs), i.e., Jiuliangyou 3 and Shengyou 9520, and two long-duration rice cultivars (LRCs), i.e., Shengyou 957 and Tianyouhuazhan, was conducted in the late season in Yongan and Santang, Hunan Province, China in 2017 and 2018. The grain yield and yield attributes were compared between the SRCs and LRCs, showing that the SRCs, which exhibited an 11–12-day shorter growth period, revealed similar grain yield to the LRCs. The SRCs also exhibited a 10–31% higher spikelet filling rate and a 13% higher harvest index than the LRCs. Moreover, the biomass accumulation, crop growth rate, and apparent radiation use efficiency of the SRCs were significantly higher than those of the LRCs during the postheading phase. Our results indicate that the higher spikelet filling rate, the harvest index, and the apparent radiation use efficiency of the postheading period were the underlying factors for the SRCs’ grain yield.

1. Introduction

The double-rice cropping system is considered an important and promising technique for sustainable rice production to ensure worldwide food security. However, due to urban expansion and a shortage of the labor required for rice production, the double cropping of rice has substantially declined in China [1,2]. Moreover, high labor input and low economic profits have reduced farmers’ enthusiasm for growing double-season rice. Mechanized large-scale farming is an executable way to utilize labor effectively. However, the shift from traditional manual transplanting to mechanical transplanting creates new problems, such as impeding seasonal double-cropping rice (i.e., two rice crops grown consecutively during the wet and dry seasons) [3].
More importantly, the amount of farmland being rented has increased, due to the government subsidizing farming in China in recent years; thus, the leasing of farmland by farmers for large-scale farming systems has emerged as a new type of farming as a result [4]. The development of large-scale farming systems has encouraged the progress of mechanical rice transplanting techniques. Rice growth duration, especially that of late-season rice, must be further shortened under large-scale farming circumstances due to the increased operation time of farming (from early-season rice harvesting, through field preparation, to late-season rice transplantation). The length of time that the growth duration needs to be reduced by, as demanded by large-scale farming systems, is nearly equal to that of the increase in farming operation time and mainly depends on the area of farmland. Therefore, farmers are more likely to choose cultivars with a short growth duration to allow for increased operation time. Longer growth duration in late-season rice would lead to either a delay in sowing or a prolongation of the seedling age to meet the increased operation time of farming in large-scale farming systems. However, a delay in sowing would expose the plants to cold damage, while a prolongation of the seedling age may lead to premature heading, thus resulting in a substantial reduction in grain yield [5,6].
Rice growth duration is a primary decisive factor of crop production in double-season rice systems [7] and shortening the growth duration is beneficial for the implementation of the seasonal double cropping of rice. Before the green revolution, most traditional rice cultivars in Asia were matured in 160–170 days because of their photosensitivity [8]. Given the long growth period required, only a single crop could be grown per year. The availability of modern varieties with a shorter growth duration, which mature in 120–130 days, has led to an increase in the intensity of cropping and in rice production [8]. At present, a further reduction in growth duration would increase the flexibility of crop rotation and would intensify cropping systems under large-scale farming systems.
In this study, two rice cultivars with long growth durations and two rice cultivars with short growth durations were grown under a mechanical transplanting crop establishment system in the late seasons of 2017 and 2018. The yield, yield components, biomass accumulation, crop growth rate, and apparent radiation use efficiency were investigated. The objectives of the study were (1) to compare the yield performance of short- and long-duration rice, and (2) to identify the essential plant traits of short- and long-duration rice grown under mechanical transplanting conditions.

2. Materials and Methods

2.1. Field Experiments and Plant Materials

Field experiments were conducted in the late season (i.e., late June to mid-October) in two successive growing seasons in 2017 and 2018 in Yongan (28°09′ N, 113°37′ E, 43 m asl) and Santang (26°53′ N, 112°28′ E, 71 m asl), Hunan Province, China. The two experimental sites have a moist subtropical monsoon climate. Double-season rice (i.e., early- and late-season rice) cropping is a major rice-based system at both sites. The physical and chemical properties of the soil at the two experimental sites in Yongan and Santang are shown in Table 1. The soils of Yongan and Santang were tidal clay and Ultisol (USDA taxonomy), respectively. Soil samples were collected from the upper 20 cm layer of the soil from the experimental sites in 2017 before the beginning of the experiments.
Two long-duration rice cultivars (LRCs), i.e., Shengyou 957 and Tianyouhuazhan, and two short-duration rice cultivars (SRCs), i.e., Jiuliangyou 3 and Shengyou 9520, were used in this study. The seeds were sown on 25 June in the two growing seasons, as essentially described in [9]. After 27 and 25 days, the seedlings were transplanted into the field in 2017 and 2018, respectively. A high-speed rice transplanter (PZ80-25; Dongfeng Iseki Agricultural Machinery Co., Ltd., Xiangyang, China) was employed for transplanting at a hill spacing of 25 × 11 cm with 1–2 seedlings per hill.
The nitrogen, phosphorus, and potassium rates were 150 kg N ha−1, 75 kg P2O5 ha−1, and 150 kg K2O ha−1, respectively. N fertilization was applied at three doses, i.e., 50% as basal, 30% at midtillering, and 20% at panicle initiation. Phosphorus was applied as basal fertilizer. Potassium was split equally into two doses, i.e., one as basal fertilizer and the other at panicle initiation. The regimen for water management was in the sequence of flooding, midseason drainage, reflooding, and moist intermittent irrigation. Pests, diseases, and weeds were controlled using chemicals to avoid yield loss. Experiments were arranged in three replicates of randomized complete block design (RCBD) with a plot size of 30 m2.

2.2. Estimation of the Growth, Yield, and Yield-Contributing Traits

At the full heading stage (when approximately 80% of the panicles had emerged from the flag leaf sheath), 10 hills were diagonally sampled from each plot. Samples were hand-separated into straw and panicles, and each part was dried in an oven at 70 °C until a constant weight was obtained.
At physiological maturity, 10 hills were diagonally sampled in the middle of each plot. The number of panicles on each hill was counted to calculate the number of panicles per m2. Plant samples were hand-separated into straw (including rachis) and spikelets. Filled spikelets were separated from unfilled ones by submerging them in tap water. Three subsamples of 30 g of filled grain and all unfilled spikelets were manually counted. Straw and filled and unfilled spikelets were weighted after oven-drying at 70 °C to a constant weight. The number of spikelets per panicle, spikelets per m2, spikelet filling percentage (filled spikelet number × 100/total spikelet number), and harvest index (filled spikelet weight/aboveground total dry weight) were then calculated. The rain yield was determined from a 5 m2 area in each plot and adjusted to a standard moisture content of 14%. The daily grain yield was calculated as the ratio of grain yield to total growth duration from sowing to maturity. Total biomass accumulation was the total dry matter of straw and filled and unfilled spikelets. The growth durations of preheading and postheading were the growth durations from transplanting to full heading and full heading to maturity, respectively. The postheading biomass accumulation was the difference between total biomass accumulation and preheading biomass accumulation. The translocation of biomass accumulated before heading to the grains (TG) was calculated according to Yang et al. [10]. The source–sink ratio (postheading biomass accumulation per m2/spikelet number per m2) was calculated, as was the crop growth rate of preheading (preheading biomass production/growth duration from transplanting to heading) and postheading (postheading biomass production/growth duration from heading to maturity).
Apparent radiation use efficiency was calculated as the ratio of biomass to incident solar radiation during the period from transplanting to heading, heading to maturity, and transplanting to maturity. Solar radiation and minimum and maximum temperatures were recorded daily using an on-site automatic weather station (Vantage Pro2; Davis Instruments Corp., Hayward, CA, USA), which was installed approximately 2 m above the level of the field.

2.3. Statistical Analysis

The PROC MIXED model in the SAS package version 9.2 [11] was implemented to perform an analysis of variance (ANOVA) of all studied traits, and p < 0.05 was used to indicate statistical significance. The linear–linear model in the SigmaPlot 14 Software (Systat Software, San Jose, CA, USA) was employed to perform the general linear regression. Significant differences between means were determined by the least significant difference (LSD) test at the 0.05 probability level.

3. Results

3.1. Climatic Conditions

In Yongan, the average mean, maximum, and minimum temperatures of the LRCs/SRCs during the total growth period were 25.4/26.4, 29.9/30.6 °C, and 22.0/23.2 and 25.0/26.0, 31.2/31.2, and 21.3/22.3 °C in 2017 and 2018, respectively. The average mean, maximum, and minimum temperatures of the LRCs/SRCs during the preheading growth phase were 28.6/28.9, 33.1/33.5, and 25.1/25.5 °C and 28.9/29.3, 34.3/34.8, and 25.0/25.5 °C in 2017 and 2018, respectively. The average mean, maximum, and minimum temperatures of the LRCs/SRCs during the postheading phase were 21.1/22.8, 25.4/26.6, and 17.8/19.9 °C and 19.7/21.7, 24.3/26.4, and 16.1/18.1 °C in 2017 and 2018, respectively (Figure 1a,b and Table S1). In Santang, the average mean, maximum, and minimum temperatures of the LRCs and SRCs had the same tendency, also showing higher values for the SRCs than the LRCs (Figure 1c,d and Table S1). The seasonal daily solar radiation of Yongan was 12.9 MJ m−2 d−1 and 15.6 MJ m−2 d−1 in the 2017 and 2018 growing seasons, respectively (Figure 1e,f and Table S1). Meanwhile, the seasonal daily solar radiation of Santang was 13.8 MJ m−2 d−1 and 14.2 MJ m−2 d−1 in the 2017 and 2018 growing seasons, respectively (Figure 1g,h and Table S1). The 10-year climate conditions of the two experimental sites are given in Table S2.

3.2. Crop Growth Duration

The SRCs exhibited a shorter growth duration than the LRCs (Table 2). On average, the differences in growth duration of the two experimental sites between the SRCs and LRCs was 11 days in 2017 and 12 days in 2018, which mainly occurred during the preheading and postheading phases. On average, the growth duration of the SRCs was six and five days shorter than that of the LRCs during the preheading and postheading phases, respectively. The duration for the two sites was the same. Overall, the growth duration of the LRCs was longer than that of the SRCs, which was mainly attributed to the preheading phase (Table 3).

3.3. Grain Yield and Yield Components

The difference in grain yield between the LRCs and SRCs was not significant, except at Santang in 2017, where the grain yield of the SRCs was significantly higher than that of the LRCs (Table 2). Rice grown in Santang exhibited higher grain yield than that grown in Yongan during both growing seasons. On average, over both experimental sites, the grain yield of the LRCs and SRCs was 7.82 and 8.02 t ha−1 in 2017 and 7.62 and 7.66 t ha−1 in 2018, respectively. The SRCs achieved a 6% and 17% higher daily grain yield than the LRCs in Yongan and Santang in 2017 and 12% and 9% in 2018, respectively. Overall, the SRCs showed almost the same grain yield as the LRCs, but a higher daily grain yield was observed for the SRCs compared to the LRCs (Table 4).
The number of spikelets per m2 was significantly higher in the LRCs than the SRCs by 4% in 2017 and 16% in 2018 in Yongan. Meanwhile, in Santang, the number of spikelets per m2 of the LRCs was lower than that of the SRCs (Table 2). The LRCs exhibited a higher number of spikelets per panicle than the SRCs at both experimental sites in the 2017 and 2018 growing seasons.
On average, the number of spikelets per panicle of the LRCs was 8% higher than that of the SRCs, while the spikelet filling percentage of the SRCs was significantly higher (77% in 2017 and 76% in 2018) than that of the LRCs (65% in both 2017 and 2018) across both experimental sites. There were no significant differences in grain weight and spikelets per m2 between the LRCs and SRCs across the two experimental sites and growing seasons (Table 5).

3.4. Biomass Accumulation, Harvest Index, and Crop Growth Rate

The total aboveground biomass, including the biomass production of the preheading and postheading phases, is shown in Table 6. The LRCs produced a higher amount biomass during the preheading phase than the SRCs in both experimental sites in the 2017 and 2018 growing seasons, while the SRCs produced more biomass during the postheading phase.
No significant differences were observed in total biomass accumulation between the LRCs and SRCs in either experimental site or growing season (Table 2). The percentage of postheading biomass accumulation to the total biomass accumulation was significantly higher in the SRCs than in the LRCs. The harvest index of the SRCs ranged from 0.49 to 0.57 with an average of 0.54 (Table 6), while that of the LRCs ranged from 0.44 to 0.52 with an average of 0.48. The SRCs exhibited a harvest index 10%, 21%, 7%, and 4% higher than the harvest index of the LRCs in Yongan and Santang in the 2017 and 2018 growing seasons, respectively. The TG of the SRCs was significantly lower than that of the LRCs in both experimental sites and growing seasons, while the source–sink ratio of the postheading biomass to spikelets (SSR) showed the opposite results.
Compared to the LRCs, the SRCs showed a lower crop growth rate during the preheading growth phase, while the growth rate was higher during the postheading growth phase (Table 7). The crop growth rate of the LRCs ranged from 17.0 to 22.2 g m−2 d−1 with an average of 19.0 g m−2 d−1 in the preheading phase, which was, on average, 6% higher than that of the SRCs. Meanwhile, the crop growth rate of the SRCs ranged from 9.6 to 24.1 g m−2 d−1 with an average of 19.6 g m−2 d−1 in the postheading phase, which was, on average, 56% higher than that of the LRCs. The crop growth rate had a strong positive linear correlation with apparent radiation use efficiency (Figure 2).

3.5. Apparent Radiation Use Efficiency

The apparent radiation use efficiency significantly differed among cultivars and growing seasons and was lower in the preheading than the postheading phase (Table 2). Except for Santang in 2018, the LRCs showed significantly higher values of apparent radiation use efficiency than the SRCs in the preheading phase in 2017 and 2018. Meanwhile, during the postheading phase, the SRCs showed a significantly higher apparent radiation use efficiency than the LRCs only in Santang in the 2018 growing season (Table 8). On average, across both experimental sites and growing seasons, the SRCs exhibited 8% lower and 43% higher apparent radiation use efficiency than the LRCs in the preheading and postheading phases, respectively.

4. Discussion

The sustainable cultivation and production of rice is of great importance for ensuring food security for a large proportion of the world population and for combating poverty. Therefore, great efforts are required to improve rice productivity and to select and identify rice cultivars that can cope with the negative consequences of climate changes. The development of mechanized large-scale double-season rice (i.e., early- and late-season rice) production in China, which is one of the pivotal strategies for achieving sustainable rice production, necessitates the development and identification of high-yielding SRCs.
In the current study, four rice cultivars, i.e., Shengyou 957 and Tianyouhuazhan (the LRCs) and Jiuliangyou 3 and Shengyou 9520 (the SRCs), were evaluated for their growth, yield, and yield-contributing traits to identify high-yielding SRCs that are suitable for late-season machine transplantation.
The results showed that the SRCs exhibited an 11−12-day shorter growth duration than the LRCs. Generally, the yield of rice is most directly related to the growth duration, and the total growth duration is an important factor that can limit the grain yield [12,13]. However, in the present study, the overall average grain yield of the SRCs was similar to that of the LRCs and was significantly higher than that of the LRCs in Santang in the 2017 growing season. A higher daily grain yield, an important criterion for judging the productivity of the rice cultivars with short growth durations [14,15], directly contributed to the yield of the SRCs. Therefore, a higher daily grain yield could be a target for breeding high-yielding cultivars with short growth durations.
In the present study, the SRCs showed a 10–31% higher spikelet filling rate than the LRCs, which compensated for their lower number of spikelets per panicle. The grain filling rate in rice is a critical determinant of grain yield and is influenced by ambient environmental conditions [16]. No cold stress appeared during the 15 days prior to heading through to 7 days after heading. The higher grain filling rate of the SRCs compared to the LRCs could be due to the higher SSR, which was predominantly caused by the higher biomass accumulation in the postheading phase (Table 6). Meanwhile, the higher postheading biomass accumulation of the SRCs was mainly because of their heading date, i.e., approximately one week earlier than that of the LRCs, which led the SRCs experiencing higher temperatures (approximately 2 °C higher) during the postheading phase compared to the LRCs (Figure 1 and Table S1). However, the variations in grain filling between the LRCs and SRCs need further study.
The data revealed significant differences in the yield-contributing traits between the two sets of rice cultivars. Several alternative hypotheses for the lower yield of the LRCs compared to the SRCs, despite the increased resource availability, include the lower harvest index [17], the increased lodging susceptibility and the inability to utilize stored nitrogen resources to enhance yield potentials [18], the lower photosynthetic efficiency [19], and the lower photosynthetic capacity of older leaves [20]. The harvest index of modern high-yielding rice is approximately 0.5 [21]. However, our data showed that, compared to the lower harvest index of the LRCs, the SRCs exhibited a harvest index as high as 0.57 (Table 4), which was positively correlated with grain yield. The importance of the harvest index in enhancing the grain yield of rice cultivars with short growth durations and the association between long growth durations and reduced yield as a result of a reduced harvest index have been widely reported [17,22,23]. Plant physiologists believe that the upper limit of the harvest index for rice is 0.62 [24]. Therefore, it is suggested that developing cultivars with a high harvest index through breeding programs is a possible approach for increasing the grain yield of SRCs.
The harvest index is determined by transient photosynthesis during the postheading phase and/or by the remobilization of stored reserves during the preheading phase [25]. The SRCs exhibited a significantly higher biomass accumulation and biomass percentage during the postheading phase, as well as a lower biomass accumulation and biomass percentage during the preheading phase. Meanwhile, the TG of the SRCs was significantly lower than that of the LRCs (Table 6), indicating that the higher harvest index of the SRCs compared to that of the LRCs was driven by transient photosynthesis during grain formation rather than by remobilization of stored reserves into the growing grain. This result also indicates that dry matter accumulation during the postheading phase is an important factor for grain yield, which is consistent with results from previous studies [26,27]. The higher dry matter accumulation of the SRCs compared to that of the LRCs during the postheading phase was mainly caused by the higher temperature they experienced in the postheading phase (Table S1).
The higher postheading biomass accumulation of the SRCs compared to the LRCs was mainly due to the higher crop growth rate in the postheading phase, and the higher crop growth rate mainly contributed to the higher apparent radiation use efficiency (Figure 2). The representativeness of apparent radiation use efficiency has been confirmed in a previous study [28], which can be used to reflect the efficiency of using radiation, which is closely related to dry matter production [10,29,30].
There were significant differences in grain yield between the two experimental sites. The average grain yield over the two growing seasons in Santang was 17% higher than that in Yongan. The higher yield in Santang could be attributed to the higher number of spikelets per panicle and the higher biomass accumulation compared to Yongan. The higher biomass accumulation in Santang is likely due to higher crop growth rate and apparent radiation use efficiency compared to Yongan. The higher crop growth rate in Santang may due to the higher temperatures, especially the temperature in postheading phase. Meanwhile, in 2017 the grain yield was 3% and 5% higher than in 2018 in Santang and Yongan, respectively. The higher grain yield in the 2017 growing season is mainly due to the higher biomass accumulation compared to that in the 2018 growing season, which, in turn, is mainly due to the apparent radiation use efficiency during the postheading phase.
In conclusion, early-season rice cultivars selected for mechanical transplantation in the late-season growing system should meet two criteria: (1) they should produce a high grain weight and (2) they should exhibit high apparent radiation use efficiency. The SRCs better adapted to mechanical transplantation in the late season, showing a shorter growth period, a higher spikelet filling rate, and a higher harvest index. The significantly higher biomass accumulation, crop growth rate, and apparent radiation use efficiency in the SRCs compared to the LRCs during the postheading phase suggest that these traits are decisive factors in SRC productivity.

Supplementary Materials

The following are available online at https://www.mdpi.com/2073-4395/10/9/1307/s1, Table S1: Daily average, maximum, and minimum temperatures and solar radiation during the 2017 and 2018 growing seasons across the Yongan and Santang experimental sites, Table S2: A 10-year climate conditions of the two experimental sites Yongan and Santang.

Author Contributions

Conceptualization, M.H. and Y.Z.; formal analysis, J.C. and M.H.; funding acquisition, M.H.; investigation, J.C., F.C., X.Y. and R.Z.; visualization, J.C. and S.F.A.-E.; writing—original draft, J.C. and S.F.A.-E.; writing—review and editing, S.F.A.-E. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Key R&D Program of China (Grant No. 2017YFD0301503).

Acknowledgments

This work was supported by the National Key R&D Program of China (Grant No. 2017YFD0301503).

Conflicts of Interest

The authors declare that there are no conflict of interest.

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Figure 1. Daily maximum temperature (●), minimum temperature (○), and solar radiation (▲) of Yongan in 2017 (a,e) and 2018 (b,f) and of Santang in 2017 (c,g) and 2018 (d,h).
Figure 1. Daily maximum temperature (●), minimum temperature (○), and solar radiation (▲) of Yongan in 2017 (a,e) and 2018 (b,f) and of Santang in 2017 (c,g) and 2018 (d,h).
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Figure 2. Relationships between the preheading (a) and postheading (b) crop growth rates and apparent radiation use efficiency. Each data point is the average of three replications. ** Significance at the 0.01 probability level.
Figure 2. Relationships between the preheading (a) and postheading (b) crop growth rates and apparent radiation use efficiency. Each data point is the average of three replications. ** Significance at the 0.01 probability level.
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Table 1. Physical and chemical properties of the soil from the Yongan and Santang experimental sites.
Table 1. Physical and chemical properties of the soil from the Yongan and Santang experimental sites.
Experimental SitepHOrganic Matter (mg kg−1)Available N (mg kg−1)Available P (mg kg−1)Available K (mg kg−1)
Yongan6.2133.9178.632.591.3
Santang5.8631.0145.214.1186.6
Table 2. The p-values of the evaluated traits for the four rice cultivars under two different locations over the two growing seasons of 2017 and 2018.
Table 2. The p-values of the evaluated traits for the four rice cultivars under two different locations over the two growing seasons of 2017 and 2018.
GD BA CGRCISRARUE
Source of VarianceTGDPre-HPost-HGYDGYPNSNSMSFGWPre-HPost-HTBHITGSSRPre-HPost-HPre-HPost-HPre-HPost-H
Season (S)1.000.080.000.010.010.000.000.070.600.420.000.020.000.000.000.000.000.000.000.000.000.00
Location (L)0.350.030.000.000.000.850.000.050.400.000.110.000.000.060.000.650.000.040.000.840.000.22
S × L0.630.440.070.490.710.010.010.000.000.210.000.170.010.040.690.000.750.000.000.080.000.00
Cultivar types (C)0.000.000.000.250.000.750.000.000.000.110.000.000.800.000.140.000.000.000.000.000.000.00
S × C0.640.080.070.460.490.290.540.860.680.800.550.540.840.000.640.880.040.290.160.000.050.14
L × C0.640.440.070.140.080.010.380.290.310.440.050.090.010.240.070.310.040.020.300.020.040.04
S × L × C1.000.440.000.010.020.820.310.340.040.840.240.160.780.050.580.090.180.380.020.000.440.45
p > 0.05, no significant difference; p ≤ 0.05, significant difference; p ≤ 0.01, highly significant difference. TGD, total growth duration; GD, growth duration; Pre-H, pre-heading; Post-H, post-heading; GY, grain yield; DGY, daily grain yield; PN, number of panicles per m2; SN, number of spikelets per panicle; SM, number of spikelets per m2; SF, spikelet filling (%); GW, grain weight; TB, total biomass; HI, harvest index; TG, translation of biomass accumulated before heading to the grain; SSR, source–sink ratio of postheading biomass to spikelets; BA, biomass accumulation; CGR, crop growth rate; CISR, cumulative incident solar radiation; ARUE, apparent radiation use efficiency.
Table 3. Growth duration of the short- and long-duration rice cultivars grown under mechanical transplanting conditions in the 2017 and 2018 growing seasons.
Table 3. Growth duration of the short- and long-duration rice cultivars grown under mechanical transplanting conditions in the 2017 and 2018 growing seasons.
SiteCultivar TypeCultivarTotal Growth Duration (d)Growth Duration of Preheading (d)Growth Duration of Postheading (d)
2017 growing season
YonganLRCShengyou 9571245443
Tianyouhuazhan1295943
Mean12756.543
SRCJiuliangyou 31165237
Shengyou 95201155038
Mean1165137.5
SantangLRCShengyou 9571245740
Tianyouhuazhan1295943
Mean1275841.5
SRCJiuliangyou 31175436
Shengyou 95201155137
Mean11652.536.5
2018 growing season
YonganLRCShengyou 9571255842
Tianyouhuazhan1286043
Mean1275942.5
SRCJiuliangyou 31165239
Shengyou 95201145039
Mean1155139
SantangLRCShengyou 9571255740
Tianyouhuazhan1295943
Mean1275841.5
SRCJiuliangyou 31165436
Shengyou 95201145137
Mean11552.536.5
LRC, long-duration rice cultivar; SRC, short-duration rice cultivar.
Table 4. Grain yield and daily grain yield of the short-duration rice cultivars (SRCs) and long-duration rice cultivars (LRCs) grown under mechanical transplanting conditions in the 2017 and 2018 growing seasons.
Table 4. Grain yield and daily grain yield of the short-duration rice cultivars (SRCs) and long-duration rice cultivars (LRCs) grown under mechanical transplanting conditions in the 2017 and 2018 growing seasons.
Site Cultivar TypeCultivarGrain Yield (t ha−1)Daily Grain Yield (kg ha−1 d−1)
2017 growing season
YonganLRCShengyou 9577.2558.5
Tianyouhuazhan7.7059.7
Mean7.47 a59.1 a
SRCJiuliangyou 36.9760.1
Shengyou 95207.5265.4
Mean7.25 a62.7 a
SantangLRCShengyou 9578.1565.8
Tianyouhuazhan8.1863.4
Mean8.17 b64.6 b
SRCJiuliangyou 38.5272.8
Shengyou 95209.0678.8
Mean8.79 a75.8 a
2018 growing season
YonganLRCShengyou 9577.0356.2
Tianyouhuazhan6.8453.4
Mean6.93 a54.8 b
SRCJiuliangyou 37.0360.6
Shengyou 95207.1462.7
Mean7.09 a61.6 a
SantangLRCShengyou 9578.1765.3
Tianyouhuazhan8.4565.5
Mean8.31 a65.4 b
SRCJiuliangyou 38.2770.7
Shengyou 95208.2071.3
Mean8.23 a71.0 a
Within the same column for each year, means followed by a different letter are significantly different at the 0.05 significance level according to a least significant difference (LSD) test. LRC, long-duration rice cultivar; SRC, short-duration rice cultivar.
Table 5. Yield components of the SRCs and LRCs grown under mechanical transplanting conditions in the 2017 and 2018 growing seasons.
Table 5. Yield components of the SRCs and LRCs grown under mechanical transplanting conditions in the 2017 and 2018 growing seasons.
SiteCultivar TypeCultivarPanicles m−2Spikelets Panicle−1Spikelet Filling (%)Spikelets m−2 (×103)Grain Weight (mg)
2017 growing season
YonganLRCShengyou 9573601336747.928.5
Tianyouhuazhan4451317358.527.0
Mean402 a132 a70 b53.2 a27.8 a
SRCJiuliangyou 33941107743.326.9
Shengyou 95203811417853.727.8
Mean387 a125 a77 a48.5 a27.4 a
SantangLRCShengyou 9573181666652.628.2
Tianyouhuazhan3601795264.326.5
Mean339 b172 a59 b58.5 a27.4 a
SRCJiuliangyou 34101487760.226.2
Shengyou 95203681587657.927.0
Mean389 a153 b77 a59.1 a26.6 a
2018 growing season
YonganLRCShengyou 9573131196537.129.8
Tianyouhuazhan3661385350.326.8
Mean339 a128 a59 b43.7 a28.3 a
SRCJiuliangyou 3 3131187337.026.8
Shengyou 95202711207132.529.6
Mean292 b119 a72 a34.7 b28.2 a
SantangLRCShengyou 9572991407541.828.2
Tianyouhuazhan3751476554.826.2
Mean337 a143 a70 b48.3 a27.2 a
SRCJiuliangyou 33681288347.025.7
Shengyou 95203641427451.427.3
Mean366 a135 a79 a49.2 a26.5 a
Within the same column for each year, means followed by a different letter are significantly different at the 0.05 significance level according to an LSD test. LRC, long-duration rice cultivar; SRC, short-duration rice cultivar.
Table 6. Aboveground biomass accumulation and harvest index of the SRCs and LRCs grown under mechanical transplanting conditions in the 2017 and 2018 growing seasons.
Table 6. Aboveground biomass accumulation and harvest index of the SRCs and LRCs grown under mechanical transplanting conditions in the 2017 and 2018 growing seasons.
Site Cultivar TypeCultivarBiomass Accumulation (g m−2)Harvest IndexTG (g m−2)SSR (mg Spikelet−1)
Preheading APostheadingTotal Biomass
2017 growing season
YonganLRCShengyou 9571010 (63)601 (37)16110.4915212.4
Tianyouhuazhan1196 (60)792 (40)19890.5011713.4
Mean1103 (62) a696 (38) a1800 a0.50 b134 a12.9 b
SRCJiuliangyou 3 859 (59)594 (41)14530.539613.6
Shengyou 9520870 (49)914 (51)17850.56817.0
Mean865 (54) b754 (46) a1619 a0.55 a52 b15.3 a
SantangLRCShengyou 9571176 (72)460 (28)16350.513158.7
Tianyouhuazhan1309 (75)445 (25)17540.442936.9
Mean1242 (73) a452 (27) b1695 a0.47 b304 a7.8 b
SRCJiuliangyou 31072 (59)748 (41)18200.5718312.4
Shengyou 9520971 (53)863 (47)18340.569314.9
Mean1022 (56) b805 (44) a1827 a0.57 a138 a13.6 a
2018 growing season
YonganLRCShengyou 957988 (78)275 (22)12630.492787.5
Tianyouhuazhan1124 (80)291 (20)14150.442705.7
Mean1056 (79) a283 (21) b1339 a0.46 b274 a6.6 b
SRCJiuliangyou 3 814 (66)414 (34)12280.5113311.2
Shengyou 9520817 (69)374 (31)11920.4918511.5
Mean816 (68) b394 (32) a1210 a0.50 a159 b11.3 a
SantangLRCShengyou 9571045 (72)424 (28)14690.5127110.0
Tianyouhuazhan1121 (68)556 (32)16770.481937.8
Mean1083 (70) a490 (30) a1573 a0.50 a232 a9.9 b
SRCJiuliangyou 31125 (68)532 (32)16570.5219811.3
Shengyou 9520908 (52)829 (48)17370.522816.2
Mean1016 (60) a681 (40) a1697 a0.52 a113 b13.7 a
A The data in parentheses represent the percentage of preheading and postheading dry matter production to the total biomass accumulation. Within the same column for each year, means followed by different letters are significantly different at the 0.05 significance level according to an LSD test. LRC, long-duration rice cultivar; SRC, short-duration rice cultivar; TG, translation of biomass accumulated before heading to the grain; SSR, source–sink ratio of postheading biomass to spikelets.
Table 7. Crop growth rate of the SRCs and LRCs grown under mechanical transplanting conditions in 2017 and 2018 growing seasons.
Table 7. Crop growth rate of the SRCs and LRCs grown under mechanical transplanting conditions in 2017 and 2018 growing seasons.
SiteCultivar TypeCultivarCrop Growth Rate (g m−2 d−1)
PreheadingPostheading
2017 growing season
YonganLRCShengyou 95718.714.0
Tianyouhuazhan20.318.4
Mean19.5 a16.2 a
SRCJiuliangyou 316.516.1
Shengyou 952017.424.1
Mean17.0 b20.1 a
SantangLRCShengyou 95720.611.5
Tianyouhuazhan22.210.4
Mean21.4 a10.9 b
SRCJiuliangyou 319.920.8
Shengyou 952019.023.3
Mean19.4 b22.0 a
2018 growing season
YonganLRCShengyou 95717.06.6
Tianyouhuazhan18.76.8
Mean17.9 a6.7 b
SRCJiuliangyou 315.710.6
Shengyou 952016.39.6
Mean16.0 b10.1 a
SantangLRCShengyou 95718.39.9
Tianyouhuazhan18.412.9
Mean18.4 a11.4 b
SRCJiuliangyou 320.814.4
Shengyou 952017.821.8
Mean19.3 a18.1 a
Within the same column for each year, means followed by a different letter are significantly different at the 0.05 significance level according to an LSD test. LRC, long-duration rice cultivar; SRC, short-duration rice cultivar.
Table 8. Cumulative incident solar radiation and apparent radiation use efficiency of the SRCs and LRCs grown under mechanical transplanting conditions in the 2017 and 2018 growing seasons.
Table 8. Cumulative incident solar radiation and apparent radiation use efficiency of the SRCs and LRCs grown under mechanical transplanting conditions in the 2017 and 2018 growing seasons.
SiteCultivar TypeCultivarCumulative Incident Solar Radiation (MJ m−2)Apparent Radiation Use Efficiency (g MJ−1)
PreheadingPostheadingPreheadingPostheading
2017 growing season
YonganLRCShengyou 9578404101.201.47
Tianyouhuazhan9253941.292.01
Mean8834021.25 a1.74 a
SRCJiuliangyou 38153541.061.68
Shengyou 95208013641.092.51
Mean8083591.07 b2.10 a
SantangLRCShengyou 9579593741.231.23
Tianyouhuazhan9904261.321.05
Mean9754001.27 a1.14 b
SRCJiuliangyou 38943681.202.03
Shengyou 95208663881.122.23
Mean8803781.16 b2.13 a
2018 growing season
YonganLRCShengyou 95710924450.900.62
Tianyouhuazhan11264571.000.64
Mean11094510.95 a0.63 a
SRCJiuliangyou 3 10004670.810.89
Shengyou 95209584910.850.76
Mean9794790.83 b0.83 a
SantangLRCShengyou 9579344641.120.92
Tianyouhuazhan9794861.141.15
Mean9574751.13 a1.03 a
SRCJiuliangyou 38994241.251.26
Shengyou 95208544591.061.81
Mean8764411.16 a1.53 a
Within the same column for each year, means followed by a different letter are significantly different at the 0.05 significance level according to an LSD test. LRC, long-duration rice cultivar; SRC, short-duration rice cultivar.

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MDPI and ACS Style

Chen, J.; Zhang, R.; Cao, F.; Yin, X.; Zou, Y.; Huang, M.; Abou-Elwafa, S.F. Evaluation of Late-Season Short- and Long-Duration Rice Cultivars for Potential Yield under Mechanical Transplanting Conditions. Agronomy 2020, 10, 1307. https://doi.org/10.3390/agronomy10091307

AMA Style

Chen J, Zhang R, Cao F, Yin X, Zou Y, Huang M, Abou-Elwafa SF. Evaluation of Late-Season Short- and Long-Duration Rice Cultivars for Potential Yield under Mechanical Transplanting Conditions. Agronomy. 2020; 10(9):1307. https://doi.org/10.3390/agronomy10091307

Chicago/Turabian Style

Chen, Jiana, Ruichun Zhang, Fangbo Cao, Xiaohong Yin, Yingbin Zou, Min Huang, and Salah Fatouh Abou-Elwafa. 2020. "Evaluation of Late-Season Short- and Long-Duration Rice Cultivars for Potential Yield under Mechanical Transplanting Conditions" Agronomy 10, no. 9: 1307. https://doi.org/10.3390/agronomy10091307

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