Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-10T15:21:19.009Z Has data issue: false hasContentIssue false
  • English
  • Français

Studies of the relationship between rice stem composition and lodging resistance

Part of: AGS Millet Collection

Published online by Cambridge University Press:  25 May 2018

M. Y. Gui ,
D. Wang ,
H. H. Xiao ,
M. Tu ,
F. L. Li ,
W. C. Li ,
S. D. Ji ,
T. X. Wang  and
J. Y. Li
M. Y. Gui
Affiliation:
State Key Laboratory Cultivation Base for Cell Differentiation Regulation, Xinxiang, Henan 453007, China
D. Wang
Affiliation:
College of Life Science, Henan Normal University, Xinxang, Henan 453007, China
H. H. Xiao
Affiliation:
College of Life Science, Henan Normal University, Xinxang, Henan 453007, China
M. Tu
Affiliation:
College of Life Science, Henan Normal University, Xinxang, Henan 453007, China
F. L. Li
Affiliation:
College of Life Science, Henan Normal University, Xinxang, Henan 453007, China
W. C. Li
Affiliation:
College of Life Science, Henan Normal University, Xinxang, Henan 453007, China
S. D. Ji
Affiliation:
College of Life Science, Henan Normal University, Xinxang, Henan 453007, China
T. X. Wang*
Affiliation:
College of Life Science, Henan Normal University, Xinxang, Henan 453007, China Engineering Laboratory of Green Medicinal Material Biotechnology, Xinxiang, Henan 453007, China
J. Y. Li*
Affiliation:
College of Life Science, Henan Normal University, Xinxang, Henan 453007, China
*
Author for correspondence: T. X. Wang, E-mail: ljy041026@htu.edu.cn and J. Y. Li, E-mail: 041034@htu.edu.cn
Author for correspondence: T. X. Wang, E-mail: ljy041026@htu.edu.cn and J. Y. Li, E-mail: 041034@htu.edu.cn
Get access Rights & Permissions [Opens in a new window]

Abstract

Plant height and lodging resistance can affect rice yield significantly, but these traits have always conflicted in crop cultivation and breeding. The current study aimed to establish a rapid and accurate plant type evaluation mechanism to provide a basis for breeding tall but lodging-resistant super rice varieties. A comprehensive approach integrating plant anatomy and histochemistry was used to investigate variations in flexural strength (a material property, defined as the stress in a material just before it yields in a flexure test) of the rice stem and the lodging index of 15 rice accessions at different growth stages to understand trends in these parameters and the potential factors influencing them. Rice stem anatomical structure was observed and the lignin content the cell wall was determined at different developmental stages. Three rice lodging evaluation models were established using correlation analysis, multivariate regression and artificial radial basis function (RBF) neural network analysis, and the results were compared to identify the most suitable model for predicting optimal rice plant types. Among the three evaluation methods, the mean residual and relative prediction errors were lowest using the RBF network, indicating that it was highly accurate and robust and could be used to establish a mathematical model of the morphological characteristics and lodging resistance of rice to identify optimal varieties.

Keywords

Multivariate analysisneural networkstem anatomystem flexural strength
Type
Crops and Soils Research Paper
Information
The Journal of Agricultural Science , Volume 156 , Issue 3 , April 2018 , pp. 387 - 395
Check for updates
Copyright
Copyright © Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

*

These authors contributed equally to this work.

References

Acreche, MM and Slafer, GA (2011) Lodging yield penalties as affected by breeding in Mediterranean wheats. Field Crops Research 122, 40–48.Google Scholar
Berry, PM and Spink, J (2012) Predicting yield losses caused by lodging in wheat. Field Crops Research 137, 19–26.Google Scholar
Berry, PM, Spink, J, Sterling, M, Agarwal, UP and Atalla, RH (2003) Methods for rapidly measuring the lodging resistance of wheat cultivars. Journal of Agronomy and Crop Science 189, 390–401.Google Scholar
Chen, XG, Shi, CY, Yin, YP, Wang, ZL, Shi, YH, Peng, DL, Ni, YL and Cai, T (2011) Relationship between lignin metabolism and lodging resistance in wheat. Acta Agronomica Sinica 37, 1616–1622.Google Scholar
Crook, MJ and Ennos, AR (1994) Stem and root characteristics associated with lodging resistance in four winter wheat cultivars. Journal of Agricultural Science, Cambridge 123, 167–174.Google Scholar
Donald, CM and Hamblin, J (1976) The biological yield and harvest index of cereals as agronomic and plant breeding criteria. Advances in Agronomy 28, 361–405.Google Scholar
Duan, CR, Wang, BC, Wang, PQ, Wang, DH and Cai, SX (2004) Relationship between the minute structure and the lodging resistance of rice stems. Colloids and Surfaces B: Biointerfaces 35, 155–158.Google Scholar
Esechie, HA (1985) Relationship of stalk morphology and chemical composition to lodging resistance in maize (Zea mays L.) in a rainforest zone. The Journal of Agricultural Science, Cambridge 104, 429–433.Google Scholar
Guan, YP and Shen, F (2004) Effect of lodging resistance on yield of rice and its relationship with stalk physical characteristics. Journal of Jilin Agricultural Sciences 29, 6–11.Google Scholar
Jones, L, Ennos, AR and Turner, SR (2001) Cloning and characterization of irregular xylem4 (irx4): a severely lignin-deficient mutant of Arabidopsis. Plant Journal 26, 205–216.Google Scholar
Khan, A (2013) Optimizations of and by Neural Networks (PhD thesis). Dalian University of Technology, Dalian, China.Google Scholar
Kong, EY, Liu, DC, Guo, XL, Yang, WL, Sun, JZ, Li, X, Zhan, KH, Cui, DQ, Lin, JX and Zhang, AM (2013) Anatomical and chemical characteristics associated with lodging resistance in wheat. The Crop Journal 1, 43–49.CrossRefGoogle Scholar
Lang, YZ, Yang, XD, Wang, ME and Zhu, QS (2011) Effects of lodging at different filling stages on rice grain yield and quality. Chinese Journal of Rice Science 25, 407–412.Google Scholar
Lek, S and Guégan, JF (1999) Artificial neural networks as a tool in ecological modeling: an introduction. Ecological Modelling, 120, 65–73.Google Scholar
Lin, K, Huang, XH, Wang, LH, Li, RG and Yan, JQ (1996) The change of PAL activity and lignin content during adventitious buds formation of cotyledon in Cucumis melon L. Journal of East China Normal University: Natural Sciences 1996-02, 92–97.Google Scholar
Luo, LH (2005) Mapping Quantitative Traits Loci for the Logging Resistance of Culm in Rice (PhD thesis). Hunan Agricultural University, Changsha, China.Google Scholar
Luo, CM, Tian, CT, Li, XJ and Lin, JX (2007) Relationship between morpho-anatomical traits together with chemical components and lodging resistance of stem in rice (Oryza sativa L.). Acta Botanica Boreali-Occidentalia Sinica 27, 2346–2353.Google Scholar
Ma, QH (2009) The expression of caffeic acid 3-O-methyltransferase in two wheat genotypes differing in lodging resistance. Journal of Experimental Botany 60, 2763–2771.Google Scholar
Ma, J, Li, XD and Meng, Y (2009) Research of urban traffic flow forecasting based on neural network. Acta Electronica Sinica 37, 1092–1094.Google Scholar
Ma, J, Ma, WB, Tian, YH, Yang, JC, Zhou, KD and Zhu, QS (2004) The culm lodging resistance of heavy panicle type of rice. Acta Agronomica Sinica 30, 143–148.Google Scholar
Martin, MJ and Russell, WA (1984) Correlated responses of yield and other agronomic traits to recurrent selection for stalk quality in a maize synthetic. Crop Science 24, 746–750.Google Scholar
National Soil Census Office (1998) China Soil. Beijing, China: China Agricultural Press.Google Scholar
Navabi, A, Iqbal, M, Strenzke, K and Spaner, D (2006) The relationship between lodging and plant height in a diverse wheat population. Canadian Journal of Plant Science 86, 723–726.Google Scholar
Novacek, MJ, Mason, SC, Galusha, TD and Yaseen, M (2013) Twin rows minimally impact irrigated maize yield, morphology, and lodging. Agronomy Journal 105, 268–276.Google Scholar
Pickett, LK, Liljedahl, JB, Haugh, CG and Ullstrup, AJ (1969) Rheological properties of cornstalks subjected to transverse loading. Transactions of the American Society of Agricultural Engineers 12, 392–396.Google Scholar
Pinthus, MJ (1974) Lodging in wheat, barley and oats: the phenomenon, its causes and preventive measures. Advances in Agronomy 25, 209–265.Google Scholar
Strivastava, LM (1966) Histochemical studies on lignin. Tappi 49, 173–183.Google Scholar
Tang, GH (2003) Artificial Neural Networks and Its Applications (PhD thesis), Sichuan University, Chengdu, China.Google Scholar
Tang, RS, Wu, HM, Zhang, JY and Wu, GN (1989) Prevention of rice lodging by multi-effect triazole. Plant Physiology Communication 1989–01, 23–26.Google Scholar
Tang, SH, Chen, JS, Xu, PZ, Zhang, FB, Xie, CS and Yan, ZQ (2004) Preliminary report of the effects of totally basal fertilization to the whole plough layer on enhancing lodging resistance in rice. Guangdong Agricultural Sciences 2004–1, 32–34.Google Scholar
Tian, BM and Yang, GS (2005) The performance of lodging and developing a standard test for lodging resistance in crops. Chinese Agricultural Science Bulletin 21, 111–114.Google Scholar
Tian, BH, Liu, LY, Zhang, LX, Song, SX, Wang, JG, Wu, LF and Li, HJ (2015) Characterization of culm morphology, anatomy and chemical composition of foxtail millet cultivars differing in lodging resistance. Journal of Agricultural Science, Cambridge 153, 1437–1448.Google Scholar
Wan, YZ and Ma, GH (2003) A probe into the dynamic to lodging resistant of super hybrid rice. Journal of Hunan Agricultural University: Natural Sciences 29, 92–94.Google Scholar
Wang, LW and Zhang, L (2008) A review of constructive neural networks. Pattern Recognition and Artificial Intelligence 21, 49–55.Google Scholar
Wang, JM, Guo, JW and Lian, XJ (2005) Comparative study on two improved grey relational analysis. Journal of North China Electric Power University 32, 72–76.Google Scholar
Wang, QH, Wang, JT and Deng, DH (2010) Fault diagnosis of rotary machines based on RBF neural network. Modern Electronics Technique 33, 141–142.Google Scholar
Wang, J, Zhu, JM, Lin, QQ, Li, XJ, Teng, NJ, Li, ZS, Li, B, Zhang, AM and Lin, JX (2006) Effects of stem structure and cell wall components on bending strength in wheat. Chinese Science Bulletin 51, 815–823.Google Scholar
Wang, KH, Wang, P, Zheng, JC and Tao, XZ (2012) Mathematical model of lodging resistance at late stage of wheat growth. Mathematics in Practice and Theory 42, 12–19.Google Scholar
Wang, TJ, Zhang, L, Han, Q, Zheng, FX, Wang, TQ, Feng, NN and Wang, TX (2015 a) Effects of stalk cell wall and tissue on the compressive strength of maize. Plant Science Journal 33, 109–115.Google Scholar
Wang, C, Hu, D, Liu, XB, She, HZ, Ruan, RW, Yang, H, Yi, ZL and Wu, DQ (2015 b) Effects of uniconazole on the lignin metabolism and lodging resistance of culm in common buckwheat (Fagopyrum esculentum M.). Field Crops Research 180, 46–53.Google Scholar
Wei, FZ, Li, JC, Wang, CY, Qu, HJ and Shen, XS (2008) Effects of nitrogenous fertilizer application model on culm lodging resistance in winter wheat. Acta Agronomica Sinica 34, 1080–1085.Google Scholar
Wu, XJ (2000) Possible approaches to improve rice heterosis. Chinese Journal of Rice Science 14, 61–64.Google Scholar
Yagi, T (1983) Studies on breeding for culm stiffness in rice: 1. Varietal differences in culm stiffness and its related traits. Japanese Journal of Breeding 33, 411–422.Google Scholar
Yang, YH, Zhu, Z, Zhang, YD, Zhao, QY, Zhou, LH and Wang, CL (2012) Relationship between anatomic structure of the stem and lodging resistance of rice. Guihaia 32, 834–839.Google Scholar
Yoshida, S (1972) Physiological aspects of grain yield. Annual Review of Plant Physiology 23, 437–464.Google Scholar
Zadoks, JC, Chang, TT and Konzak, CF (1974) A decimal code for the growth stages of cereals. Weed Research 14, 415–421.Google Scholar
Zhang, ZX, Chen, WF, Yang, ZY, Hua, ZT, Gao, RL, Gao, Y and Zhao, YC (1999) Effect of lodging resistance on yield and its relationship with stalk physical characteristics. Journal of Shenyang Agricultural University 30, 81–85.Google Scholar
Zhang, FZ, Jin, ZX, Ma, GH, Wan, YZ, Liu, HY and Xu, ML (2010) Correlation analysis between lodging resistance and morphological characters of physical and chemical components in rice's culms. Crops 2010–4, 15–19.Google Scholar
Zhang, WJ, Wu, LM, Wu, XR, Ding, YF, Li, GH, Li, JY, Wang, F, Liu, ZH, Tang, S, Ding, CQ and Wang, SH (2016) Lodging resistance of japonica rice (Oryza sativa L.): morphological and anatomical traits due to top-dressing nitrogen application rates. Rice 9, 31.Google Scholar