Next Article in Journal
Exploring Innovation Adoption Behavior for Sustainable Development: The Case of Hungarian Food Sector
Previous Article in Journal
Main Motivational Factors of Farmers Adopting Precision Farming in Hungary
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Role of Deep Roots in Sorghum Yield Production under Drought Conditions

1
College of Agronomy, Shenyang Agricultural University, Shenyang 110866, China
2
Crops Resources Research Institute, Jilin Academy of Agricultural Science, Gongzhuling 136100, China
3
Liaoning Agricultural Development Service Center, Shenyang 110032, China
4
Institute of Economic Crop, Shanxi Academy of Agricultural Sciences, Fenyang 032200, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Agronomy 2020, 10(4), 611; https://doi.org/10.3390/agronomy10040611
Submission received: 23 March 2020 / Revised: 13 April 2020 / Accepted: 21 April 2020 / Published: 24 April 2020

Abstract

:
Root function plays a vital role in maintaining crop production. However, the role of deep roots in yield production and their effects on photosynthetic performance in sorghum remain unclear. This study aimed to provide theoretical supports for establishing highly efficient root systems of sorghum to achieve more yield under certain conditions. In this study, two sorghum (Sorghum bicolor L. Moench) cultivars, Jiza127 and Jiza305, were cultivated in soil columns as experimental materials. Three treatments (no roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60) were carried out under drought conditions during the filling stage. The root bleeding intensity, endogenous substances in the root bleeding sap, photosynthetic characteristics, dry matter accumulation, and yield were measured. The results showed that R30 and R60 significantly reduced yield in both sorghum cultivars, and the effect of R30 on yield was greater than that of R60. The contributions of roots below 30 cm to the yield of both sorghum hybrids were notably higher than those below 60 cm. R30 significantly reduced the dry matter weights (DMWs) of leaves, stems, sheaths, and panicles. R60 significantly reduced the DMW of panicles but had no significant effect on the DMWs of leaves and stems. R30 significantly reduced the photosynthetic level and PSII reaction center activity; however, the effect of R60 was not significant. Although both R30 and R60 significantly reduced root activity and the soluble sugar, amino acid, gibberellin (GA3), and abscisic acid (ABA) contents of the root bleeding sap, some of the above indicators in R60 were significantly higher than those in R30 during the filling stage, indicating that the deeper roots (below 30 cm) had a critical regulatory effect on the physiological processes of the aerial parts in sorghum, which resulted in a stronger effect on yield, especially under drought conditions. In brief, the deep roots of sorghum played a key role in yield production, but the roots in different soil depths regulated yield production in different ways. Our results indicate that deep roots of sorghum deserve consideration as a potential trait for yield improvement especially under drought conditions.

1. Introduction

Plant roots are important organs that absorb water and nutrients from the soil and are a center for the biosynthesis and transport of plant hormones such as abscisic acid (ABA) [1,2,3,4]. The morphological and physiological characteristics of roots affect the growth of plant aerial parts [1]. The roots and aerial parts of crops are interactive and interdependent [5]. Therefore, maintaining high root vitality is essential [6], and changing root structure is more likely to promote crop growth than changing the stems and leaves [7,8]. Alteration of root traits to adapt to the surrounding environment and optimize resource utilization plays a vital role in the adaptation of wheat to different environments [9]. The study of Sebastian et al. [10] showed that stronger suppression of crown roots actually may benefit crop productivity under a water deficit. Hammer et al. [11] reported that root structure optimization and water utilization may be the basis for historic advances in yield breeding in the U.S. maize belt. Hence, to understand what kind of root system is beneficial to crop growth, it is necessary to explore the role of the root system on crop growth and yield production, especially the role of deep roots under adverse conditions such as drought stress.
Gewin revealed that deep roots play a vital role in mitigating water stress in many crops [12]. Deep roots have a greater ability to absorb water and nutrients than shallow roots and act as the central hub of the water and nutrient cycle [3,13,14]. In addition, deep roots play a key role in crop adaptation to circumstances. Manschadi et al. [15] reported that the roots of drought-tolerant wheat are tighter, more uniform, and longer than those of drought sensitive wheat, and the plants have higher water use efficiency. The deep roots of crops can not only increase yield by improving water and nitrogen uptake but also reduce environmental nitrogen leaching [16,17,18]. Therefore, breeders strongly emphasize the role of deep roots in absorbing water and nutrients when developing new varieties [19,20,21,22]. Chaves et al. [23] revealed that since deeper soil layers have higher moisture contents in arid environments, deep-rooted plants are more likely to survive under these conditions. Deep roots can absorb more substances, including water and nutrients, in arid environments and maintain the function of the shallow roots through material transport [24,25,26]. Although some functions of the root system are well known, some of the physiological functions of deep roots and their effects on aboveground crop production have rarely been reported.
Sorghum is mainly planted in arid and semiarid regions of Asia and Africa, and the planting area in these regions accounts for 85% of the worldwide planting area according to 2018 data [27]. However, filling stage is the most important period for yield production, at which drought can lead to severe decline of yield in sorghum [28]. Sorghum can feed at least 5 million people in these areas due to its unique drought adaptability [29,30,31], and sorghum roots play an important role in its drought tolerance [32]. Wang et al. reported that a higher root activity has been found in the stay green sorghum B35 as compared to non-green-stayed sorghum Sanchisan and is considered as one of the drought-resistant mechanisms under drought conditions [33]. Photosynthetic parameters and osmotic adjustment ability are the principal factors associated with sorghum yield under drought conditions [28]. However, research on root systems is time consuming, expensive, and difficult because plant roots are hidden under the ground. Therefore, compared with studies of the aboveground characteristics of plants, there are few studies on the physiological functions of underground roots. In recent decades, although the number of root system studies has significantly increased, these studies have mainly been limited to shallow root systems [34,35] or the effects of different root types on plant productivity [1]. Specifically, little is known about the effects of deep root systems on the aboveground physiology and yield production of sorghum plants [4]. Therefore, the objective of this study was to determine (1) the contribution of roots in different soil depths to yield production in sorghum and (2) the manner in which deep roots affect photosynthesis and yield. Overall, we hypothesize that the deep roots of sorghum play a crucial role in yield production, and that the roots in different soil depth regulate yield production differently.

2. Materials and Methods

2.1. Plant Materials and Experimental Design

This experiment was conducted at the experimental base of Shenyang Agricultural University from 2015 to 2016. Average temperature and sunshine duration are similar in both experimental years (Figure 1). The sorghum hybrids Jiza127 (J127) and Jiza305 (J305) were selected as experimental materials which are mainly cultivated in northeastern China. Before the test, PVC tubes (tube length 1 m, inner diameter 30 cm) were cut into two sections of the same size longitudinally, fixed tightly with pipe hoops (Figure 2), and placed in a 1 m deep soil pit. The original soil layer was placed into the PVC tubes to ensure the spatial distribution of the original soil layer. After that, the soil was compacted by watering. The tubes were arranged in two rows with a large ridge (ridge spacing 66 cm, row spacing 33 cm), and the planting density was 6 plants·m−2. Five uniformly sized seeds were sown in each soil column on May 8. One seedling was left at the five-leaf stage. Surface soil samples were taken at 5 cm soil depth. Soil was silt loam with a pH of 7.0, organic matter content of 30.82 g kg−1, alkali hydrolysable N of 114.52 mg kg−1, available P of 78.33 mg kg−1, available K of 102.92 mg kg−1. At 45 cm soil depth, soil was loam with organic matter content of 14.82 g kg−1, alkali hydrolysable N of 59.21 mg kg−1, available P of 12.61 mg kg−1, available K of 51.46 mg kg−1. At 80 cm soil depth, there were organic matter content of 13.19 g kg−1, alkali hydrolysable N of 45.35 mg kg−1, available P of 12.53 mg kg−1, available K of 75.85 mg kg−1 in the loam soil. Diammonium phosphate (2.46 g) was used as seed fertilizer, and urea (3.33 g) was applied to each column at the jointing stage based on local sorghum cultivation. Three treatments (no roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60) were carried out during the filling stage. There were 60 columns per treatment. When the roots were removed, the pipe hoop was opened, and the roots were cut with a saw at the desired depth. Meanwhile, the soil was not moved and the pipes were closed again. A 30-d drought period was started at the same time as the root removal, and the soil moisture was controlled to produce moderate drought conditions (the soil water content was 45%–50% of the maximum water holding capacity in the field). The soil columns were protected by a mobile rain shelter from the rain during the drought-stressed period. The soil water content was measured daily at soil depth of 10 cm using the soil water sensor ML2x (DELTA-T, United Kingdom). To ensure that the soil water content remained constant, an automatic equipment of drip irrigation was used to supplement the soil water to maintain the aimed soil water content. After root removal (from the beginning of the filling stage, August 17), plant aerial part and root bleeding sap from three plants in each treatment were collected every 10 d, and photosynthetic parameters and fluorescence parameters from ten plants per treatment, biomass and substances in root bleeding sap from three plants in each treatment were measured. The plants in all treatments were rewatered from 30 d until maturity and harvested on September 28 in the two years. All the parameters in the experiment except yield were collected in 2015.

2.2. Determination of Photosynthetic Parameters, Fluorescence Parameters and SPAD Values.

The net photosynthetic rate (Pn), stomatal conductance (Gs), and transpiration rate (Tr) of the second leaf from the top were measured using an LI-6400 portable photosynthetic system analyzer (LI-COR Inc., Lincoln, NE, USA) following the method of Chang et al. [36]. Ten plants were randomly selected for each treatment. Chlorophyll fluorescence parameters, including the initial fluorescence (Fo), maximum photosynthetic efficiency (Fv/Fm), photochemical quenching coefficient (qL) and electron transfer efficiency (ETR), were determined on the same leaf selected for determination of photosynthetic parameters by using a Junior-PAM fluorometer (Walz, Effeltrich, Germany) following the method described by Khoshbakht et al. [37]. The SPAD value (relative chlorophyll content) of the same leaf was determined with a SPAD chlorophyll meter; the upper, middle and lower parts of the leaf were measured, and the average value was calculated.

2.3. Collection of Root Bleeding Sap

Three uniform plants were selected in each treatment, and the plants were quickly cut with branch shears at the middle of the second stem node above the ground. After the incision was washed with distilled water and covered with preweighed absorbent cotton, the incision was placed in a valve bag and sealed tightly with waterproof tape. The root bleeding sap was collected from 6:00 am. to 18:00 pm., and the root bleeding intensity was determined by weighing (g·plant−1·12 h−1).

2.4. Determination of Osmotic Adjustment Substance and Hormone Content in Root Bleeding Sap

The soluble sugar content of the root bleeding sap was determined with the anthrone-sulfuric acid method described by Quan et al. [38]. The soluble protein content was measured with the Coomassie Brilliant Blue G-250 method described by Guzel and Terzi [39]. The free amino acid content was determined using the ninhydrin colorimetry method according to Sun et al. [40]. The ABA and gibberellin (GA3) contents were determined using enzyme-linked immunoassay (ELISA). The kit was provided by the Crop Chemical Control Research Center of China Agricultural University.

2.5. Determination of Dry Matter Weight and Yield

Three plants were sampled from each treatment on the 10th, 20th, and 30th days from the initiation of root removal, and the dry matter weights (DMWs) of different organs (leaves, stems, sheaths, and panicles) were measured. The plant samples were killed at 105 °C for 30 min and dried at 80 °C to a constant weight. At harvest, 142 days after seeding, 10 plants were taken from each treatment, and the biological yield and grain yield were determined after air-drying.

2.6. Contribution of Roots of Different Depths to Yield

Contribution   of   roots   below   30   cm   to   yield = yield   of   CK - yield   of   R 30 yield   of   CK × 100 % Contribution   of   roots   below   60   cm   to   yield = yield   of   CK - yield   of   R 60 yield   of   CK × 100 %

2.7. Statistical Analysis

This experiment was conducted as a complete randomized design. Significance of main effects of root removal was determined using one way analysis of variance in software SPSS 18.0. Means were separated by Duncan’s multiple range test at p < 0.05. SPSS 18.0 software was also used for regression analysis. The data are presented as the means ± standard deviation from all replications. Different characters indicate significant differences.

3. Results

3.1. Effects of Root Removal on Photosynthetic Performance

The photosynthetic parameters and SPAD values of plants in the different treatments were ranked as follows: CK > R60 > R30 (Table 1). In most measurement periods, R60 showed no significant difference as compared to CK, while R30 showed significantly reduced photosynthetic parameters and SPAD values. The greater reduction of the photosynthetic parameters as compared to CK was measured in variety J127. At 30 d after root removal, the Pn, Gs, Tr, and SPAD values of R30 in J127 were reduced by 32.15%, 53.85%, 18.18%, and 25.56% compared with those of CK in J127, respectively. The relative decreases at 10 or 20 d after root removal were similar, but slightly less pronounced decreases as compared to those at 30 days.
Fo in different treatments was highest in R30, followed by R60 and then CK, and R30 showed a significantly increased Fo compared with CK at all measurement periods (Table 2). In contrast, Fv/Fm, qL, and ETR were ranked as follows: CK > R60 > R30. At 30 d after root removal, both varieties in the R30 treatment showed significantly reduced Fv/Fm, qL, and ETR, which were decreased by 10.00%, 19.05%, 33.79% in J127 and 11.43%, 31.25%, and 17.85% in J305, respectively. R60 showed no significant difference from CK. The relative decreases at 10 or 20 d after root removal were similar, but slightly less pronounced decreases as compared to those at 30 days.

3.2. Effects of Root Removal on Root Bleeding

Root bleeding intensity was significantly affected by root excision (Figure 3). R30 and R60 significantly reduced root bleeding intensity in J127 at 10 and 20 d after root excision. The root bleeding intensity was decreased by 42.69% and 35.30% in R30 and R60 at 10 d after root removal and 41.22% and 33.64% at 20 d after root removal compared with that in CK, respectively. In J305, R30 and R60 showed significantly reduced root bleeding intensity at 20 and 30 d after root removal. Compared with that in CK, the root bleeding intensity was decreased by 46.52% and 24.46% in R30 and R60 at 20 d after root removal and 52.60% and 33.99% at 30 d after root removal, respectively.
The content of osmotic adjustment substances in the root bleeding sap was significantly affected by root removal (Figure 4). R30 led to a significantly reduced soluble sugar content. R60 led to a significantly reduced soluble sugar content in J127 compared with CK at 10 and 20 d after root removal; the decreases were 25.71% and 12.98%, respectively. In J305, R60 also led to significantly decreased soluble sugar contents; the decreases were 20.94%, 17.33%, and 11.78% at 10, 20, and 30 d after root excision, respectively. Furthermore, R30 significantly reduced the soluble protein content of the root bleeding sap of J305 by 26.71%, 20.09%, and 31.55% at 10, 20, and 30 d after root removal, respectively. In contrast, R60 had no significant effect on the soluble protein content of the root bleeding sap at 10 and 30 d after root removal. R30 significantly reduced the amino acid content of the root bleeding sap by 47.41%, 34.63%, and 32.33% in J127 at 10, 20, and 30 d after root removal, respectively, and by 40.59%, 29.82%, and 30.23% in J305 at 10, 20, and 30 d after root removal, respectively. R60 significantly reduced the amino acid content in J127 by 30.94%, 20.65%, and 25.95% at 10, 20, and 30 d after root excision, respectively, and by 28.42% and 18.76% in J305 at 10 and 30 d after root excision, respectively.
The GA3 content of the root bleeding sap was significantly affected by root excision. R30 significantly reduced the GA3 content by 36.81%, 39.21%, and 49.04% in J127 at 10, 20, and 30 d after root removal and by 25.11%, 35.02%, and 37.87% in J305, respectively, compared with that in CK. R60 significantly reduced the GA3 content in J127 by 22.25%, 25.67%, and 36.66% at 10, 20, and 30 d after root removal, respectively, and by 20.44% and 30.13% in J305 at 20 and 30 d after root removal (Figure 5).
At 10 d after root excision, compared with that of CK, the ABA content in the root bleeding sap of R30 was significantly increased, while that of R60 showed no significant difference from CK. R30 significantly reduced the ABA content in the root bleeding sap of J127 at 20 and 30 d after root removal. R60 significantly reduced the ABA content in the root bleeding sap of J127 at 20 and 30 d after root removal and that of J305 at 30 d after root removal (Figure 5).

3.3. Effects of Root Removal on Dry Matter Accumulation and Yield

Compared with CK, the dry weight of leaves, stems, sheaths, and panicles in J127 decreased by 33.10%, 46.88%, 43.08%, and 24.63% under R30 at 30 d after root removal, respectively (Table 3). R60 had no significant effect on the dry weights of leaves and stems in J127 but significantly reduced those of sheaths and panicles by 30.11% and 13.15% compared with CK, respectively. In J305, R60 had no significant effects on the dry weights of the leaves, stems, and sheaths but significantly decreased the dry weight of the panicles, which was reduced by 14.27% compared to that of CK. The relative decreases at 10 or 20 d after root removal were similar, but slightly less pronounced decreases as compared to those at 30 days.
Both R30 and R60 significantly reduced grain yield (Table 4). The two-year average grain yield of R30 and R60 decreased by 53.46% and 36.04% compared with that of CK in J127 and by 48.16% and 33.74% in J305. The biological yield was also significantly affected by root removal. The average biological yield of R30 and R60 in J127 decreased by 19.41% and 9.40% compared with that of CK and by 31.42% and 19.86% in J305, respectively. The yield trend of the two-year experiment was consistent.

3.4. Correlation of Root Bleeding with Grain Yield and Pn

A significant positive relationship (R2 = 0.6072, p < 0.01) was found between the Pn and root bleeding intensity, indicating that the increasing root bleeding intensity had a positive influence on Pn. Similarly, there was a significant positive relationship (R2 = 0.5862, p < 0.01) between grain yield and root bleeding intensity, indicating that the increasing root bleeding intensity had a positive influence on grain yield (Figure 6).

4. Discussion

Root activity reflects the strength of root metabolic capacity and has an important role in promoting the formation of yield [41,42]. Munns et al. [43] reported that a decline in osmotic adjustment substances increased the osmotic potential of plant root cells, resulting in a decrease in the water absorption capacity of the root system. In this study, R30 and R60 significantly reduced root bleeding intensity and osmotic adjustment substance content, indicating that roots below 30 cm still had strong water absorption capacity under drought conditions during the filling stage. Meanwhile, some indicators in the root bleeding sap of R60, such as soluble protein and soluble sugar, were significantly higher than those of R30 during the filling process, indicating that deeper root systems (below 30 cm soil depth) hid high physiological activity and strong regulatory effect on the aboveground parts. With respect to signaling substances, root excision significantly reduced the GA3 content in the root bleeding sap. This result indicates that the reduction of GA3 synthesis in the root system should lead to a decrease of the available GA3 in the aerial part. GA3 is an important hormone in plants that can promote plant growth and material accumulation [44]. These results suggested that the decrease in synthesis and output of GA3 may be one of the reasons for the reduction in aboveground dry matter, and this effect was more obvious in R30. The changes in ABA were more complicated due to root excision and plant senescence. On the one hand, the change trend in ABA content in the root bleeding sap of CK reflects a response to drought conditions and senescence during the filling stage. A similar change trend of ABA was also found in the results of Abid et al. [45]. The changes in ABA content in R30 and R60 may indicate a stress response in the root system in the early stage due to root excision. This damage and loss in the root system decreased the ability of the roots to synthesize ABA, which significantly reduced the ABA content exported from the roots to the shoots. Lower ABA content in the leaves could reduce plant drought resistance [46], ultimately leading to a reduction in yield. The correlation of the root bleeding intensity with Pn and grain yield also implied that higher root activity could better support the development of photosynthetic potential that ultimately resulted in higher yield.
Song et al. [47] and Qi et al. [48] reported that deep roots play a critical role to improve root vitality, maintain root nutrition and water supply to the aerial part, promote the production of photosynthetic materials and grain filling, and increase yield. In the present study, regardless of R30 or R60, the yield of sorghum was significantly reduced by root removal, reflecting the important role of deep roots in yield production. Root excision at 30 cm underground significantly reduced leaf chlorophyll content (SPAD value), photosynthetic level, Fv/Fm, qL, and ETR and increased Fo. An increased Fo and a decreased Fv/Fm indicate that the PSII reaction center is damaged [49]. These results revealed that root excision directly reduced the function of the PSII reaction center, and photosynthetic activity and electron transfer were affected. As a result, the photosynthetic capacity was reduced, and the yield was significantly reduced. In addition, the decreased photosynthetic capacity reduced the overall biomass of the aerial parts, which manifested as decreased dry weights of the sorghum leaves, stems, sheaths, and panicles. However, the effect of root excision at 60 cm underground on the photosynthetic parameters was not significant, indicating that R60 had little effect on photosynthetic performance. From the perspective of root system distribution, the root system was shown to be mainly distributed in the upper 0–30 cm of topsoil, which contained up to approximately 95% of the total number of roots in cotton and maize, respectively [50,51], indicating that roots of taproot and fibrous root crops are mainly distributed in shallow layers, and the surface root system was directly related to photosynthesis [52]. However, in this study, the contribution of roots below 60 cm accounted for more than 30% of the yield, indicating that deeper root activity, which was reflected by the root bleeding intensity and component content, played a critical role in yield production under drought conditions during the filling stage. Schittenhelm et al. [53] indicated that root depth was also a significant feature of drought resistance in sorghum. Common farming fertilization is mainly concentrated in the plow layer, and drought also usually occurs in the cultivated layer, which reduces nutrient availability. Although the root system can penetrate deeper soil depths to obtain water under drought conditions, nutrients are relatively scarce in these deeper layers, leading to a degree of spatial dislocation between nutrients and water. As the root system tends to grow toward fertilizer and water, the spatial distribution of the root system changes accordingly; thus, the role of deep roots will be more obvious under drought conditions.
In brief, R30 and R60 significantly reduced the biological and grain yield of sorghum, especially grain yield. R30 mainly reduced yield by reducing photosynthetic level and root activity, while R60 had no significant effect on photosynthetic characteristics. Although root activity was significantly reduced in R60, it was still significantly higher than that of R30, indicating that the greater vitality of deeper root systems (soil depths below 30 cm) was the reason for their greater contribution to yield, especially under drought conditions. In conclusion, the deep roots of sorghum play a crucial role in yield production, but the roots in different soil depths regulate yield production differently. Our results support the hypothesis that deep roots of sorghum greatly contribute to yield production and thus merit investigation as a potential agronomic trait for more yield under drought conditions.

Author Contributions

Conceptualization, Q.W. and Y.Z.; Investigation, Q.W., Y.G., J.Z. and Y.W.; Project administration, Q.W.; Supervision, R.Z., Y.Z., M.X., W.X. and R.H.; Validation, Y.Z. and R.H.; Writing—original draft, X.C.; Writing—review and editing, Y.Z., X.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research and the APC was funded by the China Agriculture Research System (CARS-06).

Acknowledgments

This work is financially supported by the China Agriculture Research System (CARS-06).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Arai-Sanoh, Y.; Takai, T.; Yoshinaga, S.; Nakano, H.; Kojima, M.; Sakakibara, H.; Kondo, M.; Uga, Y. Deep rooting conferred by DEEPER ROOTING 1 enhances rice yield in paddy fields. Sci. Rep. 2014, 4, 5563. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Rachmilevitch, S.; Lambers, H.; Huang, B. Root respiratory characteristics associated with plant adaptation to high soil temperature for geothermal and turf-type Agrostis species. J. Exp. Bot. 2006, 57, 623–631. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Silva, E.V.D.; Bouillet, J.P.; Gonçalves, J.L.D.M.; Junior, C.H.A.; Trivelin, P.C.O.; Hinsinger, P.; Jourdan, C.; Nouvellon, Y.; Stape, J.L.; Laclau, J.P. Functional specialization of Eucalyptus fine roots: Contrasting potential uptake rates for nitrogen, potassium and calcium tracers at varying soil depths. Funct. Ecol. 2011, 25, 996–1006. [Google Scholar] [CrossRef]
  4. Guo, H.; York, L.M. Maize with fewer nodal roots allocates mass to more lateral and deep roots that improve nitrogen uptake and shoot growth. J. Exp. Bot. 2019, 70, 5299–5309. [Google Scholar] [CrossRef] [PubMed]
  5. Kashiwagi, J.; Krishnamurthy, L.; Crouch, J.H.; Serraj, R. Variability of root length density and its contributions to seed yield in chickpea (Cicer arietinum L.) under terminal drought stress. Field Crop. Res. 2006, 95, 171–181. [Google Scholar] [CrossRef] [Green Version]
  6. Liedgens, M.; Richner, W. Relation between maize (Zea mays L.) leaf area and root density observed with minirhizotrons. Eur. J. Agron. 2001, 15, 131–141. [Google Scholar] [CrossRef]
  7. Craine, J.M.; Wedin, D.A.; Chapin, F.S.; Reich, P.B. Relationship between the structure of root systems and resource use for 11 North American grassland plants. Plant Ecol. 2003, 165, 85–100. [Google Scholar] [CrossRef]
  8. Vamerali, T.; Saccomani, M.; Bona, S.; Mosca, G.; Guarise, M.; Ganis, A. A comparison of root characteristics in relation to nutrient and water stress in two maize hybrids. Plant Soil 2003, 255, 157–167. [Google Scholar]
  9. Bakhshandeh, S.; Kertesz, M.A.; Corneo, P.E.; Dijkstra, F.A. Dual-labeling with15N and H218O to investigate water and N uptake of wheat under different water regimes. Plant Soil 2016, 408, 429–441. [Google Scholar] [CrossRef]
  10. Sebastian, J.; Yee, M.; Viana, W.G.; Rellan-Alvarez, R.; Feldman, M.; Priest, H.D.; Trontin, C.; Lee, T.; Jiang, H.; Baxter, I.; et al. Grasses suppress shoot-borne roots to conserve water during drought. Proc. Natl. Acad. Sci. USA 2016, 113, 8861–8866. [Google Scholar] [CrossRef] [Green Version]
  11. Hammer, G.L.; Dong, Z.; McLean, G.; Doherty, A.; Messina, C.; Schussler, J.; Zinselmeier, C.; Paszkiewicz, S.; Cooper, M. Can Changes in Canopy and/or Root System Architecture Explain Historical Maize Yield Trends in the U.S. Corn Belt? Crop Sci. 2009, 49, 299–312. [Google Scholar] [CrossRef]
  12. Gewin, V. Food: An underground revolution. Nature 2010, 466, 552–553. [Google Scholar] [CrossRef] [PubMed]
  13. Thorup-Kristensen, K.; Rasmussen, C.R. Identifying new deep-rooted plant species suitable as undersown nitrogen catch crops. J. Soil Water Conserv. 2015, 70, 399–409. [Google Scholar] [CrossRef]
  14. Giambelluca, T.W.; Mudd, R.G.; Liu, W.; Ziegler, A.D.; Kobayashi, N.; Kumagai, T.; Miyazawa, Y.; Lim, T.K.; Huang, M.Y.; Fox, J.; et al. Evapotranspiration of rubber (Hevea brasiliensis) cultivated at two plantation sites in Southeast Asia. Water Resour. Res. 2016, 52, 660–679. [Google Scholar] [CrossRef] [Green Version]
  15. Manschadi, A.M.; Christopher, J.; de Voil, P.; Hammer, G.L. The role of root architectural traits in adaptation of wheat to water-limited environments. Funct. Plant Biol. 2006, 33, 823. [Google Scholar] [CrossRef] [Green Version]
  16. Palta, J.A.; Chen, X.; Milroy, S.P.; Rebetzke, G.J.; Dreccer, M.F.; Watt, M. Large root systems: Are they useful in adapting wheat to dry environments? Funct. Plant Biol. 2011, 38, 347–354. [Google Scholar] [CrossRef] [Green Version]
  17. Thorup-Kristensen, K.; Cortasa, M.S.; Loges, R. Winter wheat roots grow twice as deep as spring wheat roots, is this important for N uptake and N leaching losses? Plant Soil 2009, 322, 101–114. [Google Scholar] [CrossRef]
  18. Thorup-Kristensen, K.; Dresbøll, D.B.; Kristensen, H.L. Crop yield, root growth, and nutrient dynamics in a conventional and three organic cropping systems with different levels of external inputs and N re-cycling through fertility building crops. Eur. J. Agron. 2012, 37, 66–82. [Google Scholar] [CrossRef] [Green Version]
  19. Lopes, M.S.; Reynolds, M.P. Partitioning of assimilates to deeper roots is associated with cooler canopies and increased yield under drought in wheat. Funct. Plant Biol. 2010, 37, 147–156. [Google Scholar] [CrossRef]
  20. Kell, D.B. Breeding crop plants with deep roots: Their role in sustainable carbon, nutrient and water sequestration. Ann. Bot. 2011, 108, 407–418. [Google Scholar] [CrossRef] [Green Version]
  21. Wasson, A.P.; Rebetzke, G.J.; Kirkegaard, J.A.; Christopher, J.; Richards, R.A.; Watt, M. Soil coring at multiple field environments can directly quantify variation in deep root traits to select wheat genotypes for breeding. J. Exp. Bot. 2014, 65, 6231–6249. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Thorup-Kristensen, K.; Kirkegaard, J. Root system-based limits to agricultural productivity and efficiency: The farming systems context. Ann. Bot. 2016, 118, 573–592. [Google Scholar] [CrossRef] [PubMed]
  23. Chaves, M.M.; Maroco, J.P.; Pereira, J.S. Understanding plant responses to drought—From genes to the whole plant. Funct. Plant Biol. 2003, 30, 239–264. [Google Scholar] [CrossRef]
  24. Burgess, S.S.O.; Adams, M.A.; Turner, N.C.; Ong, C.K. The redistribution of soil water by tree root systems. Oecologia 1998, 115, 306–311. [Google Scholar] [CrossRef] [PubMed]
  25. Domec, J.C.; Warren, J.M.; Meinzer, F.C.; Brooks, J.R.; Coulombe, R. Native root xylem embolism and stomatal closure in stands of Douglas-fir and ponderosa pine: Mitigation by hydraulic redistribution. Oecologia 2004, 141, 7–16. [Google Scholar] [CrossRef] [PubMed]
  26. Bleby, T.M.; Mcelrone, A.J.; Jackson, R.B. Water uptake and hydraulic redistribution across large woody root systems to 20 m depth. Plant Cell Environ. 2010, 33, 2132–2148. [Google Scholar] [CrossRef]
  27. FAO. Food and Agriculture Organization of the United Nations. 2018. Available online: http://faostat3.fao.org/download/Q/QC/E (accessed on 24 April 2020).
  28. Wang, N.; Wang, Y.T.; Yu, J.L.; Zhou, Y.F.; Wu, Q.; Gao, Y.; Xu, W.J.; Huang, R.D. Prioritization of feasible physiological parameters in drought tolerance evaluation in sorghum: A grey relational analysis. Zemdirbyste 2015, 102, 457–464. [Google Scholar] [CrossRef] [Green Version]
  29. Haussmann, B.; Mahalakshmi, V.; Reddy, B.; Seetharama, N.; Hash, C.; Geiger, H. QTL mapping of stay-green in two sorghum recombinant inbred populations. Theor. Appl. Genet. 2002, 106, 133–142. [Google Scholar] [CrossRef] [Green Version]
  30. Mace, E.S.; Tai, S.S.; Gilding, E.K.; Li, Y.H. Whole-genome sequencing reveals untapped genetic potential in Africa’s indigenous cereal crop sorghum. Nat. Commun. 2013, 4, 2320. [Google Scholar] [CrossRef] [Green Version]
  31. Paterson, A.H. Genomics of Sorghum. Int. J. Plant Genomics 2008, 2008, 362451. [Google Scholar] [CrossRef] [Green Version]
  32. Zhang, D.F.; Zeng, T.R.; Liu, X.Y.; Gao, C.X.; Li, Y.X.; Li, C.H.; Song, Y.C.; Shi, Y.S.; Wang, T.Y.; Li, Y. Transcriptomic profiling of sorghum leaves and roots responsive to drought stress at the seedling stage. J. Integ. Agric. 2019, 18, 1980–1995. [Google Scholar] [CrossRef]
  33. Wang, D.Q.; Zhou, Y.F.; Lu, Z.B.; Xiao, M.J.; Xu, W.J.; Huang, R.D. Root morphology and activity of stay green sorghum under water stress. Agric. Res. Arid Area. 2012, 30, 73–76. [Google Scholar]
  34. Smit, A.L.; Bengough, A.G.; Engels, C.; De Noordwijk, V. Root Methods: A Handbook. J. Agron. Crop Sci. 2002, 188, 64. [Google Scholar]
  35. Maeght, J.L.; Rewald, B.; Pierret, A. How to study deep roots—And why it matters. Front. Plant Sci. 2013, 4, 299. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Chang, B.; Yang, L.; Cong, W.; Zu, Y.; Tang, Z. The improved resistance to high salinity induced by trehalose is associated with ionic regulation and osmotic adjustment in Catharanthus roseus. Plant Physiol. Biochem. 2014, 77, 140–148. [Google Scholar] [CrossRef]
  37. Khoshbakht, D.; Asghari, M.R.; Haghighi, M. Effects of foliar applications of nitric oxide and spermidine on chlorophyll fluorescence, photosynthesis and antioxidant enzyme activities of citrus seedlings under salinity stress. Photosynthetica 2018, 56, 1313–1325. [Google Scholar] [CrossRef]
  38. Quan, R.; Shang, M.; Zhang, H.; Zhao, Y.; Zhang, J. Improved chilling tolerance by transformation with betA gene for the enhancement of glycinebetaine synthesis in maize. Plant Sci. 2004, 166, 141–149. [Google Scholar] [CrossRef]
  39. Guzel, S.; Terzi, R. Exogenous hydrogen peroxide increases dry matter production, mineral content and level of osmotic solutes in young maize leaves and alleviates deleterious effects of copper stress. Bot. Stud. 2013, 54, 26. [Google Scholar] [CrossRef] [Green Version]
  40. Sun, S.W.; Lin, Y.C.; Weng, Y.M.; Chen, M.J. Efficiency improvements on ninhydrin method for amino acid quantification. J. Food Compos. Anal. 2006, 19, 112–117. [Google Scholar] [CrossRef]
  41. Chu, G.; Chen, T.T.; Wang, Z.Q.; Yang, J.C.; Zhang, J.H. Morphological and physiological traits of roots and their relationships with water productivity in water-saving and drought-resistant rice. Field Crop. Res. 2014, 162, 108–119. [Google Scholar] [CrossRef]
  42. Guan, D.H.; Al-Kaisi, M.M.; Zhang, Y.S.; Duan, L.S.; Tan, W.M.; Zhang, M.C.; Li, Z.H. Tillage practices affect biomass and grain yield through regulating root growth, root-bleeding sap and nutrients uptake in summer maize. Field Crop. Res. 2014, 157, 89–97. [Google Scholar] [CrossRef]
  43. Munns, R.; Passioura, J.; Colmer, T.; Byrt, C. Osmotic adjustment and energy limitations to plant growth in saline soil. New phytol. 2019, 225, 1091–1096. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Zhang, S.; Zhang, D.; Fan, S.; Du, L.; Shen, Y.; Xing, L.; Li, Y.; Ma, J.; Han, M. Effect of exogenous GA3 and its inhibitor paclobutrazol on floral formation, endogenous hormones, and flowering-associated genes in ‘Fuji’ apple (Malus domestica Borkh.). Plant Physiol. Biochem. 2016, 107, 178–186. [Google Scholar] [CrossRef]
  45. Abid, M.; Shao, Y.H.; Liu, S.X.; Wang, F.; Gao, J.W.; Jang, D.; Tian, Z.W.; Dai, T.B. Pre-drought priming sustains grain development under post-anthesis drought stress by regulating the growth hormones in winter wheat (Triticum aestivum L.). Planta 2017, 246, 509–524. [Google Scholar] [CrossRef] [PubMed]
  46. Zhou, Y.F.; Wang, D.Q.; Lu, Z.B.; Wang, N.; Wang, Y.T.; Li, F.X.; Xu, W.J.; Huang, R.D. Effects of Drought Stress on Photosynthetic Characteristics and Endogenous Hormone ABA and CTK Contents in Green-Stayed Sorghum. Sci. Agric. Sin. 2014, 47, 655–663. [Google Scholar]
  47. Song, R.; Wu, C.S.; Ma, L.Y. Effect of application of combined fertilizers on the root system of maize. Acta Agron. Sin. 2002, 28, 393–396. [Google Scholar]
  48. Qi, W.Z.; Liu, H.H.; Liu, P.; Dong, S.T.; Zhao, B.Q.; So, H.B.; Li, G.; Liu, H.D.; Zhang, J.W.; Zhao, B. Morphological and physiological characteristics of corn (Zea mays L.) roots from cultivars with different yield potentials. Eur. J. Agron. 2012, 38, 54–63. [Google Scholar] [CrossRef]
  49. Ge, J.L.; Shi, L.; Gu, W.B.; Tang, Y.D.; Zhang, J.Z.; Jiang, C.D.; Ren, D.M. Photosynthetic Characteristics and the Regulation of PhotosystemⅡ Function in Salt-Stressed Sweet Sorghum Seedlings. Acta Agron. Sin. 2007, 33, 1272–1278. [Google Scholar]
  50. Liang, Y.; He, W.S.; Dai, X.H.; Ma, K.; Hou, X.Q. Effects of Planting Density and Row Spacing on Root-shoot Spatial Distribution and Grain Yield of Spring Maize. J. Maize Sci. 2016, 24, 97–102. [Google Scholar]
  51. Li, Y.S.; Feng, L.P.; Guo, M.L.; Han, X.X. Studies on the growth characteristics of root system and its relation with cultural practices and yield in cotton (G. hirsutum L.) the effects of cultural practices on the growth of root system and its relation with above ground parts and yield. Cotton Sci. 1992, 4, 59–66. [Google Scholar]
  52. Zhao, Q.Z.; Qiao, J.F.; Liu, H.; Tian, Z.Q. Relationship Between Root and Leaf Photosynthetic Characteristic in Rice. Sci. Agric. Sin. 2007, 40, 1064–1068. [Google Scholar]
  53. Schittenhelm, S.; Schroetter, S. Comparison of Drought Tolerance of Maize, Sweet Sorghum and Sorghum-Sudangrass Hybrids. J. Agron. Crop Sci. 2014, 200, 46–53. [Google Scholar] [CrossRef]
Figure 1. Average temperature and sunshine duration during growth period in 2015 and 2016.
Figure 1. Average temperature and sunshine duration during growth period in 2015 and 2016.
Agronomy 10 00611 g001
Figure 2. The cultivation of soil columns used in this study.
Figure 2. The cultivation of soil columns used in this study.
Agronomy 10 00611 g002
Figure 3. Effects of root removal in different soil depths on root bleeding intensity. No roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60. Different characters at the same stage indicate significant differences at p < 0.05. Vertical bars represent the standard deviation of three replications (n = 3).
Figure 3. Effects of root removal in different soil depths on root bleeding intensity. No roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60. Different characters at the same stage indicate significant differences at p < 0.05. Vertical bars represent the standard deviation of three replications (n = 3).
Agronomy 10 00611 g003
Figure 4. Effects of root removal in different soil depths on soluble sugar content, soluble protein content, and amino acid content in root bleeding sap. No roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60. Different characters at the same stage indicate significant differences at p < 0.05. Vertical bars represent the standard deviation of three replications (n = 3).
Figure 4. Effects of root removal in different soil depths on soluble sugar content, soluble protein content, and amino acid content in root bleeding sap. No roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60. Different characters at the same stage indicate significant differences at p < 0.05. Vertical bars represent the standard deviation of three replications (n = 3).
Agronomy 10 00611 g004
Figure 5. Effects of root removal in different soil depths on gibberellin (GA3) content and abscisic acid (ABA) content in root bleeding sap. No roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60. Different characters at the same stage indicate significant differences at p < 0.05. Vertical bars represent the standard deviation of three replications (n = 3).
Figure 5. Effects of root removal in different soil depths on gibberellin (GA3) content and abscisic acid (ABA) content in root bleeding sap. No roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60. Different characters at the same stage indicate significant differences at p < 0.05. Vertical bars represent the standard deviation of three replications (n = 3).
Agronomy 10 00611 g005
Figure 6. The correlation between root bleeding intensity and grain yield, Pn (net photosynthetic rate). The data was from two cultivars and included every treatment and replicates; p < 0.01 represents extremely significant correlation.
Figure 6. The correlation between root bleeding intensity and grain yield, Pn (net photosynthetic rate). The data was from two cultivars and included every treatment and replicates; p < 0.01 represents extremely significant correlation.
Agronomy 10 00611 g006
Table 1. Effects of root removal in different soil depths on photosynthetic parameters and SPAD values.
Table 1. Effects of root removal in different soil depths on photosynthetic parameters and SPAD values.
CultivarDays after Root RemovalTreatmentPn (μmol·m−2·s−1)Gs (mmol·m−2·s−1)Tr (mmol·m−2·s−1)SPAD Value
J12710 dR3020.29 ± 2.51b0.20 ± 0.024b3.77 ± 0.79b45.07 ± 2.02b
R6027.16 ± 0.20a0.22 ± 0.014ab5.90 ± 0.41a49.40 ± 3.58a
CK30.00 ± 1.85a0.25 ± 0.015a6.73 ± 0.48a55.65 ± 4.26a
20 dR3017.97 ± 0.31b0.11 ± 0.004b3.05 ± 0.49c35.13 ± 2.86b
R6023.18 ± 2.55a0.13 ± 0.027a4.10 ± 0.20b37.93 ± 1.16b
CK25.37 ± 2.40a0.24 ± 0.025a4.96 ± 0.37a47.30 ± 2.61a
30 dR309.16 ± 2.40b0.06 ± 0.016b1.35 ± 0.37b29.03 ± 2.78b
R6011.39 ± 2.13ab0.09 ± 0.014ab1.64 ± 0.28a31.60 ± 4.92ab
CK13.50 ± 2.92a0.13 ± 0.014a1.65 ± 0.28a39.00 ± 4.40a
J30510 dR3022.26 ± 1.81b0.20 ± 0.031b4.51 ± 0.51b48.63 ± 1.70b
R6032.25 ± 2.79a0.25 ± 0.016ab5.38 ± 0.25ab54.50 ± 3.95ab
CK32.81 ± 2.44a0.30 ± 0.050a6.12 ± 0.99a57.66 ± 6.39a
20 dR3021.24 ± 1.98b0.18 ± 0.017b3.52 ± 0.85a43.33 ± 6.64b
R6024.45 ± 2.25ab0.23 ± 0.045a4.35 ± 0.83a49.37 ± 1.30ab
CK27.88 ± 3.98a0.27 ± 0.011a5.09 ± 0.72a54.36 ± 6.21a
30 dR3010.54 ± 2.52b0.10 ± 0.012b1.59 ± 0.25b32.00 ± 2.98b
R6012.47 ± 1.77a0.16 ± 0.008a1.76 ± 0.15a38.03 ± 3.07ab
CK13.17 ± 1.39a0.17 ± 0.010a1.81 ± 0.20a42.18 ± 3.76a
No roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60; the net photosynthetic rate, Pn; stomatal conductance, Gs; transpiration rate, Tr; chlorophyll relative content, SPAD value. Different characters within the same column indicate significant differences at p < 0.05. The data are represented as the means ± standard deviation (n = 10).
Table 2. Effects of root removal in different soil depths on fluorescence parameters.
Table 2. Effects of root removal in different soil depths on fluorescence parameters.
CultivarDays after Root RemovalTreatmentFoFv/FmqLETR
J12710 dR30255.36 ± 5.66a0.75 ± 0.050a0.22 ± 0.009a24.49 ± 0.90b
R60230.67 ± 6.66b0.77 ± 0.003a0.24 ± 0.019a28.48 ± 0.89a
CK219.66 ± 5.64b0.79 ± 0.002a0.25 ± 0.029a31.05 ± 2.32a
20 dR30278.35±9.10a0.69 ± 0.006b0.18 ± 0.029a21.53 ± 1.24c
R60250.41±4.87b0.75 ± 0.026a0.20 ± 0.034a25.61 ± 0.40b
CK236.31±5.00c0.77 ± 0.001a0.22±0.022a28.24 ± 0.94a
30 dR30319.00±11.37a0.63 ± 0.039b0.17±0.015b16.05 ± 2.42b
R60293.463±16.57ab0.65 ± 0.019ab0.20 ± 0.034a21.80 ± 1.48a
CK258.33±15.51b0.70 ± 29a0.21 ± 25a24.24 ± 1.95a
J30510 dR30236.14 ± 16.97a0.77 ± 0.004a0.22 ± 0.033b28.32 ± 1.00b
R60227.20 ± 7.14ab0.78 ± 0.001a0.31 ± 0.054a31.14 ± 2.92ab
CK216.46 ± 6.85b0.79 ± 0.028a0.32 ± 0.025a34.66 ± 2.08a
20 dR30261.96 ± 4.88a0.71 ± 0.022b0.17 ± 0.005c24.49 ± 0.53b
R60238.42 ± 7.23b0.75 ± 0.020ab0.23 ± 0.016b27.48 ± 0.39ab
CK228.67 ± 6.03c0.76 ± 0.025a0.27 ± 0.020a30.03 ± 2.80a
30 dR30292.00 ± 19.67a0.62 ± 0.079b0.11 ± 0.100b20.06 ± 0.79b
R60262.67 ± 11.50ab0.67 ± 0.023ab0.14 ± 0.149a23.56 ± 2.02ab
CK246.67 ± 11.59b0.70 ± 0.012a0.16 ± 0.156a24.42 ± 0.74a
No roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60; initial fluorescence, Fo; maximum photosynthetic efficiency, Fv/Fm; photochemical quenching coefficient, qL; electron transfer efficiency, ETR. Different characters within the same column indicate significant differences at p < 0.05. The data are represented as the means ± standard deviation (n = 10).
Table 3. Effects of root removal in different soil depths on dry matter accumulation.
Table 3. Effects of root removal in different soil depths on dry matter accumulation.
CultivarDays after Root RemovalTreatmentLeaf (g·plant−1)Stem (g·plant−1)Sheath (g·plant−1)Panicle (g·plant−1)
J12710 dR3021.67 ± 3.94a40.18 ± 4.76b14.95 ± 1.72a75.25 ± 3.53b
R6024.41 ± 2.22a57.73 ± 9.56a16.92 ± 2.22a87.37 ± 6.85a
CK26.22 ± 1.94a61.14 ± 5.57a19.08 ± 3.65a98.31 ± 6.30a
20 dR3018.53 ± 0.71b35.35 ± 1.32b12.05 ± 0.78c70.39 ± 5.39b
R6022.59 ± 1.85a48.85 ± 7.88a14.87 ± 0.70b78.71 ± 9.31ab
CK24.32 ± 1.54a56.94 ± 6.93a17.51 ± 0.66a87.72 ± 8.78a
30 dR3014.15 ± 1.97b27.31 ± 13.34b8.43 ± 0.34c63.98 ± 2.61c
R6021.07 ± 0.74a40.87 ± 4.19ab10.35 ± 0.67b73.73 ± 3.13b
CK21.15 ± 1.41a51.41 ± 3.79a14.81 ± 0.77a84.89 ± 2.88a
J30510 dR3025.70 ± 2.98a63.77 ± 7.72b19.12 ± 6.13a89.17 ± 8.81b
R6028.76 ± 1.24a83.02 ± 4.04a19.73 ± 2.50a106.48 ± 1.73a
CK29.23 ± 1.68a85.83 ± 10.71a21.61 ± 3.31a115.24 ± 11.30a
20 dR3021.98 ± 2.05b53.44 ± 10.77b14.52 ± 2.67a84.18 ± 2.93b
R6026.46 ± 2.51a79.43 ± 2.91a17.44 ± 2.53a102.95 ± 7.12a
CK28.27 ± 1.27a80.87 ± 6.90a20.59 ± 1.13a109.80 ± 5.87a
30 dR3019.76 ± 1.84b50.41 ± 5.23b12.81 ± 2.45b70.06 ± 1.58c
R6025.22 ± 2.13a67.64 ± 8.78a16.77 ± 3.87a81.56 ± 0.23b
CK25.49 ± 2.95a73.15 ± 5.33a19.60 ± 1.60a95.14 ± 2.82a
No roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60. Different characters within the same column indicate significant differences at p < 0.05. The data are represented as the means ± standard deviation (n = 3).
Table 4. Effects of root removal in different soil depths on grain and biological yield in 2015 and 2016.
Table 4. Effects of root removal in different soil depths on grain and biological yield in 2015 and 2016.
YearCultivarTreatmentGrain Yield (g/plant)Biological Yield (g/plant)
2015J127R3060.34 ± 1.00c161.18 ± 8.30c
R6072.99 ± 3.64b175.39 ± 0.71b
CK102.43 ± 9.24a197.71 ± 11.47a
J305R3083.34 ± 4.82b193.44 ± 3.83b
R6094.77 ± 4.21b213.13 ± 5.56b
CK125.37 ± 7.72a231.10 ± 6.36a
2016J127R3054.48 ± 0.45c184.39 ± 25.07c
R6084.82 ± 2.41b243.04 ± 9.08b
CK144.30 ± 2.28a295.32 ± 36.83a
J305R3042.72 ± 10.88b164.21 ± 9.34b
R6066.37 ± 6.97b204.78 ± 20.35b
CK117.82 ± 13.33a290.40 ± 49.96a
No roots removed, CK; roots removed at 30 cm underground, R30; roots removed at 60 cm underground, R60. Different characters within the same column indicate significant differences at p < 0.05. The data are represented as the means ± standard deviation (n = 10).

Share and Cite

MDPI and ACS Style

Chen, X.; Wu, Q.; Gao, Y.; Zhang, J.; Wang, Y.; Zhang, R.; Zhou, Y.; Xiao, M.; Xu, W.; Huang, R. The Role of Deep Roots in Sorghum Yield Production under Drought Conditions. Agronomy 2020, 10, 611. https://doi.org/10.3390/agronomy10040611

AMA Style

Chen X, Wu Q, Gao Y, Zhang J, Wang Y, Zhang R, Zhou Y, Xiao M, Xu W, Huang R. The Role of Deep Roots in Sorghum Yield Production under Drought Conditions. Agronomy. 2020; 10(4):611. https://doi.org/10.3390/agronomy10040611

Chicago/Turabian Style

Chen, Xiaofei, Qi Wu, Yue Gao, Jiao Zhang, Yitao Wang, Ruidong Zhang, Yufei Zhou, Muji Xiao, Wenjuan Xu, and Ruidong Huang. 2020. "The Role of Deep Roots in Sorghum Yield Production under Drought Conditions" Agronomy 10, no. 4: 611. https://doi.org/10.3390/agronomy10040611

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop