Fenlong-ridging (FL) is a new type of conservation tillage. In many crops, FL increases crop yield and quality; however, the cytology and molecular mechanisms of crops under FL is not completely understood. This study investigated soil physical and chemical properties under FL and conventional tillage (CK) during 2018–2019 (plant cane) and 2019–2022 (first stubble), and analyzed the agronomic trait, physiology, leaf anatomical structure, and gene expression related to photosynthesis between FL and CK of sugarcane (Guitang 42). Soil bulk density significantly increased, and soil porosity, water storage, and content of available nitrogen and phosphorus under FL were significantly higher than those under CK. Plant height, stem diameter, single stem weight, effective stem number and yield significantly increased under FL compared to under CK. Sugar content significantly increased in plant cane under FL. Chlorophyll content and the photosynthetic rate increased, with significantly higher activity of photosynthetic enzymes including NADP-malate dehydrogenase (NADP-MDH), phosphoenolpyruvate carboxylase (PEPC), and ribulose-1,5-bisphosphate carboxylase (RuBPC) under FL compared to CK. Fenlong-ridging cytology results showed that the mesophyll cells were large and arranged well, the Kranz anatomy was noticeable, and there were a high number of large chloroplasts in mesophyll cell and in the vascular bundle sheath. Furthermore, the bundle sheath in FL was larger than that in CK. Transcriptomics results showed that 19,357 differentially genes (DEGs) were up-regulated and 28,349 DEGs were down-regulated in sugarcane leaves under FL vs. CK. The Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that abundant DEGs were enriched in photosynthesis, photosynthesis-antenna protein, carotenoid biosynthesis, and other pathways associated with photosynthesis. Most expression was up-regulated, thus, facilitating photosynthesis regulation. Quantitative real-time polymerase chain reaction analysis revealed the up-regulation of genes related to photosynthesis (PsaH and PsbS) under FL. Overall, this study provides insights into the role of FL in increased sugarcane yield by integrating physiology, cytology, and proteomics analysis. These findings could be used to further improve its application and promotion.
Keywords: Fenlong-ridging; sugarcane; transcriptomics; photosynthesis; cell structure
Sugarcane (Saccharum spp. hybrids) is an important economic tropical crop cultivated for sugar production globally [[
Ridge tillage can lead to a higher crop yield by directly improving soil moisture and root growth, and indirectly improving plant water status, thereby slowing down the decomposition of chlorophyll, improving photosynthetic characteristics and grain filling [[
Crop yield and quality are affected by agricultural measures, environment, and genes. As one of the main measures, tillage plays an important role in agricultural production management. Sugarcane is a typical C
Photosynthesis influences plant biomass accumulation, and plants exhibiting high photosynthetic rates may result in higher yields [[
In this study, we investigated the effects of FL on the physical–chemical properties of the soil and analyzed the effect of FL on sugarcane photosynthetic characteristics, leaf anatomy, and gene expression associated with photosynthesis. Furthermore, the mechanism of increasing sugarcane yield in FL was analyzed by integrating tissue cytology, physiology, and transcriptomic levels. This work provides a theoretical basis for the application and promotion of FL in sugarcane production.
Field experiment plots, established in the spring of 2018, were conducted in Long'an County, Guangxi Province, China (E 107°88′52′′; N 22°99′28′′). The area resembles a South Asian tropical monsoon climate, and the mean temperature is approximately 22 °C, with an average annual rainfall of 1304.2 mm in the sugarcane growing season. The area is characterized by red soil without historical Fenlong cultivation. The basic soil properties of the upper 20 cm soil layer are presented in Table 1.
The experiments were set up in a completely randomized single-factorial (tillage) design with three replicates. Two tillage methods were used before planting sugarcane: conventional tillage (CK) and Fenlong-ridging (FL). The tillage treatments differed in terms of the tools that were used, along with the depth of tillage. The tillage equipment used in the study field and tillage depth are listed in Table 2.
The field experiment included six plots, and each plot size was 60 m
Plant cane was harvested on 19 January 2019, and first stubble was harvested on 13 January 2020. Effective stems with a length of 1 m or more were collected by cutting stems as close to the soil as possible. The final number of effective stems was recorded at harvest in plant cane (2019) and first stubble (2020) harvests. The weight of those was regarded as yield. Meanwhile, 20 representative sugarcanes were selected from each plot to measure plant height (on-ground sugarcane base to sugarcane growth point), stem diameter (average diameter of above-ground third internode, middle internode, and top-down seventh internode of sugarcane), and single stem weight (average weight of 20 representative sugarcanes). Six representative plants from each plot were selected and sent to the Institute of Sugarcane Research (Guangxi Academy of Agricultural Sciences) for sugar content determination.
Three soil samples (from the 0–20 cm soil layer) were taken at each plot in the elongation stage. Soil samples were ground to pass through a 0.8 mm sieve. Soil bulk density was measured by the core sampling method using a ring knife [[
(
The standard value of 2.65 g cm
Soil water storage was calculated as follows:
(
where MWC is the mass soil water content of the 0–20 cm soil layer (%), SD is the soil thickness of the 0–20 cm soil layer (mm), and γ is the soil bulk density (g cm
Available N was measured using the alkaline hydrolysable diffusion method [[
Ten representative sugarcane plants from each plot were selected to measure the chlorophyll content and photosynthetic characteristics of the sugarcane leaf (top visible dewlap) in the elongation stage. This was conducted on 2 July 2018 for plant cane, and on 31 August 2019 for first stubble. Chlorophyll content was measured using the SPAD-502 chlorophyll meter (Konica Minolta, Chiyoda City, Japan). Photosynthetic rate (Pn), stomatal conductance (Gs), intercellular CO
Sugarcane leaf sampling was conducted once in the elongation stage (July, 2018) for analysis of enzyme activity and anatomical structure. Ten representative sugarcane plants from each plot were selected to cut the sugarcane leaves (top visible dewlap). Some leaf samples were frozen using liquid nitrogen, transported to the laboratory, and stored at −40 °C for the determination of photosynthesis-related enzyme activity.
The activity of NADP-malate dehydrogenase (NADP-MDH) was determined according to the method of Ye et al. [[
Other leaf samples were preserved in formaldehyde–acetic acid–ethanol fixative to prepare paraffin sections. A smart digital camera was used to observe the leaf cell structure. The size of vascular bundle sheath cell, horizontal diameter of mesophyll cell, and chloroplast number were measured using Jiangsu Jetta morphological analysis software (Jetta, Jiangsu, China). Meanwhile, the leaves were preserved in 2.5% (v/v) glutaraldehyde solution to prepare ultrastructural sections. These sections were cut with a thickness of 80 nm using a Leica UCT slicer (Danaher Corporation, Wetzlar, Germany). Ultrastructural cell characteristics were observed using Tecnai G2 12, 100 kV transmission electron microscope (Thermo Fisher Scientific, Shanghai, China). The chloroplast size, and grana lamella number were measured using Jiangsu Jetta morphological analysis software.
Top visible dewlap leaves in the elongation stage were collected and immediately frozen using liquid nitrogen before being sent to BGI-Tech (Shenzhen, China) for RNA-sequencing (RNA-seq) on 2 July 2018. Sugarcane leaves were collected and stored at −80 °C for analysis of target gene expression on 25 October 2018 (plant cane maturity), and 19 October 2019 (first stubble maturity), respectively.
Total RNA was extracted from the materials in CK and FL using Trizol (Beijing ComWin Biotech, Beijing, China). Agarose gel electrophoresis (1%) was performed on the extracted RNA to check for purity. After qualification, the RNA-seq libraries were constructed using the BGISEQ-500 platform, and a total of 87.22 Gb of data was generated. The raw transcriptome reads were pre-processed by pruning the sequencing joints, and removing reads with unknown bases, N content greater than 5%, and those which were of a low quality. Clean reads were obtained by SOAPnuke and Trimmomatic software, and GC%, Q20, and Q30 values were calculated. Genes were assembled de novo and correlated with the Unigene database (https://
Clean reads were aligned to genomic sequences by Bowtie2 software, and the gene expression of each sample was calculated with RSEM. DEG-seq detection was performed according to Poisson distribution and the method of Wang et al. [[
Ten genes were randomly selected from the DEGs for fluorescence qRT-PCR validation to verify the reliability of the RNA-seq results. Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was used as the internal reference gene. The primer was designed by Shengong Bioengineering Co. (Shanghai, China) (Table S1). Quantitative RT-PCR was carried out using a LightCycler 480 system with SYBR Premix Ex Taq
Excel 2010 was used for data calculation, and the data obtained were normally distributed. SPSS 20.0 software (IBM, Armonk, NY, USA) was used to test for homogeneity and difference. The difference was significant when double-tailed (p value < 0.05). Figures were prepared using Origin 2021 (Origin Lab, Northampton, MA, USA) and Adobe Illustrator 2021 (Adobe, Mountain View, CA, USA).
Fenlong-ridging uses a self-propelled cultivation machine with an auger bit (Figure 1a). It produced stronger sugarcane with more green leaves and denser effective stems in the elongation and mature stage compared with that in CK (Figure 1b,c).
Fenlong-ridging had significant effects on agronomic traits, yield, and sugar content of sugarcane at harvest time (Figure 2). Plant height, stem diameter, single stem weight, effective stem number, yield, and sugar content of plant cane produced by FL were significantly higher (13.21%, 17.58%, 30.60%, 5.27%, 18.89%, and 11.83%, respectively) than those of sugarcane produced by CK, during the harvesting period (Figure 2a–f). Similarly, plant height, stem diameter, single stem weight, effective stem number, and yield of stubble sugarcane produced by FL were significantly higher (7.66%, 22.18%, 70.31% 18.67%, and 12.92%, respectively) than those of sugarcane produced by CK (Figure 2a–e). No difference was observed in the sugar content of first stubbles between the two tillage methods (Figure 2f). In addition, no significant correlation was observed between agronomic traits and sugar content (Table 3). There were significant positive correlations between plant height, effective stem number, single stem number, and yield (Table 3). Those significantly increased under FL in this study, and this indicated that FL may indirectly increase sugar yield by increasing yield.
Fenlong-ridging had an active influence on soil physical and chemical properties. Soil bulk density under FL significantly reduced by 12.20–13.70% compared to that under CK (Figure 3a). Soil porosity and water storage were significantly higher under FL than those under CK, by 15.17–24.84% and 5.44–7.04%, respectively (Figure 3b,c). This indicated FL created a favorable soil environment.
Compared with those in soil under CK, available N and P of soil under FL increased by 8.68–10.42%, 17.91–25.55%, respectively, and was statistically significant (Figure 3d,e). No significant difference was observed in available K content (Figure 3f).
Fenlong-ridging increased the chlorophyll content and had a significant effect on photosynthetic rate in both planting methods of the current study (Table 4). The chlorophyll content, Pn, Gs, Ci, and Tr of plant cane and first stubble produced under FL increased by 5.39–5.98%, 37.10–10.14%, 45.00–47.06%, 19.12–17.15%, and 25.88–11.63%, respectively, compared with that under CK in the elongation stage. Other indices, except Tr of first stubble, showed significant differences when compared with those of CK (Table 4).
Photosynthesis-related enzyme activities of sugarcane leaves were higher under FL than under CK in the elongation stage. The activities of NADP-MDH, PEPC, and RuBPC were significantly increased by 23.53%, 30.89%, and 18.65%, respectively (Figure 4).
The leaf mesophyll cells under FL were loosely arranged with large cells and vascular bundle sheath cells, and the density of chloroplasts under FL was higher than that under CK (Figure 5a,b). Kranz anatomy was distinctly observed under FL (Figure 5c,d). The number of chloroplast grana lamellae under FL (with close cell arrangements) was higher (Figure 5f) than that under CK, which exhibited loose arrangements (Figure 5e). Therefore, the anatomical structure characteristics of sugarcane leaves under FL were more conducive to photosynthesis compared with those under CK.
Most anatomical structure indicators of sugarcane leaf under FL were significantly higher than those under CK. The vascular bundle sheath size increased by 28.4% (Figure 6a); the number and size of chloroplasts in the vascular bundle sheath increased by 50.0% and 78.4%, respectively (Figure 6c,e); the number and size of chloroplasts in mesophyll cells were 60.0% and 117.0%, respectively (Figure 6d,f); the number of chloroplast grana lamellae increased by 31.3% (Figure 6g). Meanwhile, the horizontal diameter of mesophyll cells under FL was 8.8% higher than that under CK; however, the difference was insignificant (Figure 6b).
Transcriptome sequencing quality assessment and assembly results are shown in Table S3. The output data of each sample was above 10.7 Gb, with Q
A total of 47,706 DEGs were identified in sugarcane leaves under CK and FL by RNA-seq: 19,357 (40.6%) were up-regulated, while 28,349 (59.4%) were down-regulated (Figure 7a). Seven DEGs were randomly screened, and qRT-PCR was performed to verify the results of RNA-seq using GAPDH as the internal reference. The qRT-PCR and RNA-seq results showed the same trend of up- and down-regulated expression, although there were differences in the expression level (Figure 7b). This indicated that the RNA-seq data analysis results were reliable.
The fragments per kilobase of exon model per million mapped fragments (FPKM) of DEGs in sugarcane samples under CK and FL was conducted by cluster analysis to infer the expression level among two tillage methods. The DEGs of samples under the same tillage method had similar expression patterns, and genes were differentially expressed between the two tillage methods by heat map analysis (Figure 8).
Gene ontology functional enrichment analysis was used to annotate the functions and features (expression patterns) of the DEGs to the given GO terms, which were classified as biological process, cellular component, and molecular function. Our RNA-seq report identified 47,706 DEGs under CK vs. FL; 13,265 (27.8%) belonged to biological process, 15,221 (31.9%) belonged to cellular component, and 19,169 (40.2%) belonged to molecular function. These DEGs were mainly enriched in biological regulation, cellular process, metabolic process, cell, cell part, membrane, catalytic activity, and binding (Figure 9).
The degree of KEGG enrichment was measured by the Rich factor, Q-value, and the number of genes enriched in the pathway; a Q value ≤ 0.05 indicated significance. The metabolic pathways with significant enrichment of DEGs were analyzed to determine the physiological, biochemical, metabolic, and signal transduction pathways associated with DEGs to provide further insight into the biological functions. KEGG pathway annotation classification was performed on the DEGs (Figure 10). Most DEGs under CK vs. FL were annotated in the metabolic category. DEGs were enriched in 134 pathways, and the first 20 enrichment pathways are presented in Table S4.
The DEGs were enriched in pathways associated with photosynthesis, including photosynthesis, photosynthesis-antenna protein, and carotenoid biosynthesis, which were significantly up-regulated (Table S5). Moreover, the up-regulated genes were enriched in monoterpenoid biosynthesis, protein processing in the endoplasmic reticulum, isoquinoline alkaloid biosynthesis, cyanoamino acid metabolism, zein biosynthesis, and glutathione metabolism (Table S5). Meanwhile, down-regulated genes were enriched in brassinosteroid, pantothenate, N-Glycan and CoA biosynthesis, circadian rhythm, and plant-, alanine-, aspartate-, and glutamate metabolism (Table S6).
The DEGs were enriched in the cytoplasm and the chloroplast stroma, vesicle membrane, and thylakoid. Seventy-six DEGs were enriched (64% up-regulated and 36% down-regulated) in the photosynthesis pathway under FL compared with those under CK. Six up-regulated DEGs and three down-regulated DEGs were differentially expressed by over four-fold. Photosystem II (PSII) consists of multiple subunits that capture light energy, transfer electrons, oxidize water, and release oxygen. Photosystem I (PSI) catalyzes the transfer of electrons from plastocyanin through a series of electron transporters to ferredoxin in the photosynthetic electron transport chain. Figure 11 demonstrates that some PSI genes (PsaA, PsaE, PsaF, PsaG, PsaH, PsaK, PsaN, and PsaO) and PSII genes (PsbA, PsbO, PsbS, and PsbW) were up-regulated, while PsbD of PSII was down-regulated. This indicated that FL had a great influence on sugarcane photosynthesis.
Different genes associated with photosynthesis showed different expression levels. The expression of PsbM under two tillage methods was similar, and no significant differences were observed between FL and CK (Figure 12a). PsbS expression was 224% higher in first stubble under FL than that of CK, respectively (Figure 12b). A similar trend was observed in PsaH expression, where 25% and 479% higher expression was observed in plant cane and first stubble, respectively (Figure 12c). The differences in the expression of PsbS, and PsaH observed were insignificant in plant cane under FL and CK (Figure 12b,c).
Fenlong-ridging creates soil that is suspended and loosened and not easily hardened. This may create a more advantageous hydrothermal condition and increase the capacity of soil nutrients, water, oxygen, and microorganisms, thereby benefiting photosynthetic efficiency and crop yield increase [[
At the same time, NADP-MDH, PEPC, and RuBPC, are important enzymes in plant photosynthesis that accelerate CO
It was confirmed that FL increased available nitrogen content and photosynthetic capacity. Water-deficient areas caused significant decreases in net photosynthetic rate, transpiration rate, and stomatal conductance of sugarcane, finally resulting in yield deterioration. Soil water storage of FL was significantly higher than that of conventional tillage, corresponding to higher photosynthetic capacity. This culminates in FL increasing sugarcane and sugar yield with an increased physiological basis of photosynthesis.
Leaf photosynthesis is influenced by the proportion of tissues, cell size and arrangement, the number of chloroplasts, the number of grana and grana lamellae, and the leaf structural characteristics, which are closely related to the environment [[
Phosphorus affects the cell structure of crops. Under low-phosphorus conditions, crops had loose cells, a larger surface area of bundle sheath cell walls and adverse ultrastructure of the chloroplasts, including a significantly decreased number of chloroplasts and grana [[
The mesophyll bears the large part of the light reaction as well as the production of ATP and reducing equivalents in many C
Crop yield is affected by the environment, agronomic measures, and plant genes. The effects of agronomic measures and the environment on plant photosynthetic rates may be partly mediated through coarse regulation of gene expression [[
Water conditions may also cause a change in the expression levels of some photosystem genes in plants. Water stress increases PsbS expression in summer maize to suppress stomatal opening, with little effect on CO
This study investigated soil physical and chemical properties under FL and analyzed the effects of FL on sugarcane photosynthetic characteristics, leaf anatomical structures, and gene expression levels, based on tissue cytology, physiology, and transcriptomic levels, in comparison to conventional tillage. Our results revealed the following (Figure 13):
- FL directly increased soil porosity, reduced soil bulk density, enhanced soil porosity and soil water storage, increased microbial diversity, and improved available nutrients (nitrogen and phosphorus) in the soil, which contributed to the absorption and transportation of water and fertilizer by roots. Furthermore, it favored a well-developed root system, thereby facilitating growth and above-ground development.
- Sugarcane leaf transcriptomics (photosynthesis, photosynthesis-antenna protein, and carotenoid biosynthesis) were differentially expressed; the expression of genes (PsaA, PsaE, PsaF, PsaG, PsaH, PsaK, PsaN, PsaO, PsbS, and PsbW) related to photosynthesis was up-regulated under FL compared with those under conventional tillage.
- Photosynthetic parameters (chlorophyll content, photosynthetic rate, and stomatal conductance) and photosynthetic enzymes (NADP-MDH, PEPC, and RuBPC) were enhanced, and the growth and development of sugarcane leaf tissue and cellular structure (vascular bundles and chloroplasts) were facilitated. Under FL, roots were enhanced by improved soil environment, photosynthesis-related genes were upregulated, which led to improved photosynthetic physiology and cell structure. Furthermore, agronomic traits (plant height, stem diameter, single stem weight, and effective stem number) were improved, indicating an adequate source, large sink, and smooth flow, which improved sugarcane yield and sugar content.
Overall, this study enhances our understanding of transcriptomics, photosynthetic physiology, and leaf structure with respect to FL (Figure 13); these insights provide a theoretical basis for the application and promotion of FL in sugarcane production.
Graph: Figure 1 Fenlong machine (a) was operated. Sugarcane growth and development in the elongation stage (b) and the mature stage (c) under two tillage systems: CK = conventional tillage, FL = Fenlong-ridging.
Graph: Figure 2 Plant height (a), stem diameter (b), single stem (c), effective stem number (d), yield (e), and sugar content (f) at harvest time of plant cane (on 19 January 2019) and first stubble (on 13 January 2020) under tow tillage methods: CK = conventional tillage, FL = Fenlong-ridging. The values are presented as mean ± standard deviation. Different lowercase letters indicate significant difference at p < 0.05 level at the same sugarcane harvested time.
Graph: Figure 3 Effects of Fenlong-ridging on soil bulk density (a), soil porosity (b), soil water storage (c), available N content (d), available P content (e), and available K (f) in the elongation stage compared with conventional tillage. The values are presented as mean ± standard deviation. Different lowercase letters indicate significant difference at p < 0.05 level at the same sugarcane harvested time.
Graph: Figure 4 Activities of photosynthesis-related enzymes of sugarcane leaves in the elongation stage: (a) NADP-malate dehydrogenase (NADP-MDH); (b) phosphoenolpyruvate carboxylase (PEPC); (c) ribulose-1,5-bisphosphate carboxylase (RuBPC). CK = conventional tillage, FL = Fenlong-ridging. The values are presented as mean ± standard deviation. Different lowercase letters indicate significant difference at p < 0.05 level at the same sugarcane harvested time.
Graph: Figure 5 Anatomical structural characteristics of sugarcane leaves, including cross-section of the leaf blade (a,b), Kranz anatomy (c,d), and chloroplast ultrastructure (e,f) under two tillage methods: CK = conventional tillage (a,c,e), FL = Fenlong-ridging (b,d,f). The scale bars of sections in (a–d) and (e,f) are 20 mm and 300 nm, respectively. VC: vascular bundle sheath cell; VB: vascular bundle; MC: mesophyll cell; Chl: chloroplast; GL: grana lamella.
Graph: Figure 6 Size of vascular bundle (a), horizontal diameter of mesophyll (b), number of chloroplasts in bundle sheath cell (c), number of chloroplasts in mesophyll cell (d), size of chloroplasts in bundle sheath cell (e), and in mesophyll cell (f), and number of grana lamella (g) of sugarcane leaves under two tillage methods: CK = conventional tillage, FL = Fenlong-ridging. VC: vascular bundle sheath cell; VB: vascular bundle; MC: mesophyll cell; Chl: chloroplast; GL: grana lamella. The values are presented as mean ± standard deviation. Different lowercase letters indicate significant difference at p < 0.05 level at the same sugarcane harvested time.
Graph: Figure 7 Number of DEGs and qRT-PCR analysis. (a) Significant differences in the number of genes in sugarcane leaves under CK vs. FL; (b) qRT-PCR results of DEGs. 1: CL17795.contig41; 2: CL13244.contig4; 3: unigene53214; 4: CL17795.contig11; 5: CL6533.contig3; 6: unigene86348; 7: unigene15144.
Graph: Figure 8 Cluster analysis of differential gene expression. The color represents the difference multiple: red and blue represents the up-regulation multiple and the down-regulation multiple, respectively.
Graph: Figure 9 GO functional analysis of CK vs. FL.
Graph: Figure 10 KEGG pathway classification of DEGs under CK vs. FL.
Graph: Figure 11 Photosynthetic proteins of CK vs. FL. The red box represents up-regulated expression; green box represents down-regulated expression.
Graph: Figure 12 PsbM (a), PsaH (b), and PsbS (c) expression in sugarcane leaves in the mature stage of newly panted sugarcane and first stubble under two tillage methods: CK = conventional tillage, FL = Fenlong-ridging. Different lowercase letters indicate significant difference at p < 0.05 level at the same sugarcane harvested time.
Graph: Figure 13 Theoretical model of Fenlong-ridging mechanism of increasing sugarcane yield and sugar content.
Table 1 The chemical and physical properties of 20 cm soil layer at the experimental site at Long'an, China.
Soil Properties Value Measurement Method pH 5.73 Acid–alkali indicator method [ Bulk density 2.36 g·cm−3 Core sampling method using ring knife [ Organic matter 34.60 g·kg−1 Walkley and Black [ Total nitrogen (N) 1.49 g·kg−1 Kjeldahl digestion Total phosphorus (P) 0.30 g·kg−1 Molybdenum antimony colorimetric method by 0.5 mol/L NaHCO3 extractable [ Available nitrogen 149.00 mg·kg−1 Alkaline hydrolysable diffusion method [ Available phosphorus 8.49 mg·kg−1 Olsen method by 0.5 mol/L NaHCO3 extractable [ Available potassium (K) 394.30 mg·kg−1 Colorimetric method by 0.5 mol/L NH4OAc [
Table 2 Operation procedures and the equipment used for different tillage practices.
Tillage Treatment Tillage Equipment Working Depth Fenlong-ridging (FL) Traditional plowshare 20~25 cm Conventional tillage (CK) Self-propelled smash riding machine * 40~60 cm
Table 3 Correlation analysis of agronomic characters, yield, and sugar content of sugarcane.
Plant Height Stem Diameter Single Stem Number Effective Stem Number Yield Stem diameter 0.729 ** Single stem number 0.853 ** 0.935 ** Effective stem number 0.793 ** 0.364 0.520 Yield 0.892 ** 0.537 0.686 * 0.946 ** Sugar content 0.037 0.488 0.397 −0.376 −0.121
Table 4 Effects of Fenlong-ridging on chlorophyll content and photosynthesis of sugarcane in the elongation stage compared with conventional tillage.
Crop Season Tillage Chlorophyll Content (SPAD) Pn Gs Ci Tr Plant cane CK 44.33 ± 0.40 b 22.29 ± 1.50 b 0.20 ± 0.01 b 149.76 ± 15.50 b 4.52 ± 0.21 b FL 46.72 ± 0.20 a 30.56 ± 0.82 a 0.29 ± 0.01 a 178.40 ± 6.16 a 5.69 ± 0.10 a First stubble CK 48.60 ± 0.40 b 19.13 ± 0.40 b 0.17 ± 0.01 b 199.20 ± 5.12 b 4.30 ± 0.17 a FL 51.50 ± 0.59 a 21.07 ± 0.52 a 0.25 ± 0.03 a 233.36 ± 8.42 a 4.80 ± 1.15 a
Conceptualization, S.Z., J.X. and S.L.; data curation, S.Z., J.X., S.H., X.L., R.W. and R.L.; software, S.Z., J.X., X.L., D.Z. and L.Y.; methodology, S.H., Z.L., B.W. and S.L.; validation, S.H., B.W. and S.L.; formal analysis, S.H., X.L., Z.L., B.W. and S.L.; investigation, S.H., X.L., Z.L., D.Z., R.W., R.L. and L.Y.; resources, Z.L., S.H. and S.L.; writing—original draft preparation, S.Z., J.X., S.H., Z.L., D.Z., R.W., R.L., L.Y. and S.L.; writing—review and editing, S.Z., J.X., S.H., Z.L., X.L., B.W., D.Z., R.W., R.L., L.Y. and S.L.; supervision, S.L.; project administration, S.L.; funding acquisition, S.L. All authors have read and agreed to the published version of the manuscript.
All the data generated in this study are present in the main manuscript.
The authors declare no conflict of interest.
All individuals appreciate the partial support of Guangxi University and Guangxi Academy of Science.
The following supporting information can be downloaded at: https://
By Shuifang Zhu; Jiming Xiao; Shijian Han; Xinzhu Li; Zhigang Li; Benhui Wei; Demei Zhang; Rui Wang; Ruiling Li; Lipei Yang and Suli Li
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