Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-17T19:15:36.017Z Has data issue: false hasContentIssue false

OPTIMIZED TIMING OF USING CANOPY TEMPERATURE TO SELECT HIGH-YIELDING CULTIVARS OF WINTER WHEAT UNDER DIFFERENT WATER REGIMES

Published online by Cambridge University Press:  04 April 2016

XIAOYU ZHANG*
Affiliation:
Key Laboratory of Agricultural Water Resources, The Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, The Chinese Academy of Sciences, 050021, Shijiazhuang, China College of Life Sciences, University of Chinese Academy Sciences, 100049, Beijing, China
XIYING ZHANG
Affiliation:
Key Laboratory of Agricultural Water Resources, The Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, The Chinese Academy of Sciences, 050021, Shijiazhuang, China
SUYING CHEN
Affiliation:
Key Laboratory of Agricultural Water Resources, The Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, The Chinese Academy of Sciences, 050021, Shijiazhuang, China
HONGYONG SUN
Affiliation:
Key Laboratory of Agricultural Water Resources, The Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, The Chinese Academy of Sciences, 050021, Shijiazhuang, China
LIWEI SHAO
Affiliation:
Key Laboratory of Agricultural Water Resources, The Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, The Chinese Academy of Sciences, 050021, Shijiazhuang, China
XIUWEI LIU
Affiliation:
Key Laboratory of Agricultural Water Resources, The Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, The Chinese Academy of Sciences, 050021, Shijiazhuang, China
*
§Corresponding author. Email: [email protected]; Present address: The Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, The Chinese Academy of Sciences, 286 Huaizhong Road, Shijiazhuang, China.

Summary

Selecting high-yielding cultivars under drought is an important practice to improve crop production. Canopy temperature (T) shows a relative reliable association with grain yield. In this study, we compared the suitability of canopy T and other agronomic as well as physiological traits associated with grain yield under different water regimes. Field experiments over two seasons (2011–2012 and 2012–2013) were carried out under three water regimes, represented about 64, 76 and 89% of potential evapotranspiration, with 16 local winter wheat (Triticum aestivum L.) cultivars in each season. Results showed that cultivars with higher yield usually performed consistently lower canopy T under three water regimes, while the relationships of grain yield with other agronomic or physiological traits were more influenced by soil moisture. In addition, the relationship between canopy T and grain yield varied with different growth stages: From the time of heading to early grain filling stages, a more significant negative linear relationship (p < 0.001) existed under the three irrigation levels.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2016 

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.)

References

REFERENCES

Allen, R. G., Pereira, L. S., Raes, D. and Smith, M. (1998). Crop evapotranspiration – guidelines for computing crop water requirements. In FAO Irrigation and Drainage Paper, Rome, Italy: Food and Agricultural Organization.Google Scholar
Amani, I., Fischer, R. A. and Reynolds, M. P. (1996). Canopy temperature depression association with yield of irrigated spring wheat cultivars in a hot climate. Journal of Agronomy and Crop Science 176:119129.Google Scholar
Atterberg, A. (1905). Die rationalle Klassifikation der Sande und Kiese. Chemiker Zeitung 29:195198.Google Scholar
Ayeneh, A., van Ginkel, M., Reynolds, M. P. and Ammar, K. (2002). Comparison of leaf, spike, peduncle and canopy temperature depression in wheat under heat stress. Field Crops Research 79:173184.CrossRefGoogle Scholar
Balota, M., Payne, W. A., Evett, S. R. and Lazar, M. D. (2007). Canopy temperature depression sampling to assess grain yield and genotypic differentiation in winter wheat. Crop Science 47:15181529.CrossRefGoogle Scholar
Balota, M., Payne, W. A., Evett, S. R. and Troy, R. P. (2008). Morphological and physiological traits associated with canopy temperature depression in three closely related wheat lines. Crop Science 48:18971910.Google Scholar
Bingham, I. J., Hoad, S. P., Thomas, W. T. B. and Newton, A. C. (2012). Yield response to fungicide of spring barley genotypes differing in disease susceptibility and canopy structure. Field Crops Research 139:919.Google Scholar
Condon, A. G., Richards, R. A., Rebetzke, G. J. and Farquhar, G. D. (2004). Breeding for high water-use efficiency. Journal of Experimental Botany 55:24472460.Google Scholar
Fang, J. J., Ma, W. X., Zhao, X. Q., He, X., Li, B., Tong, Y. P. and Li, Z. S. (2012). Lower canopy temperature is associated with higher cytokinin concentration in the flag leaf of wheat. Crop Science 52:27432756.Google Scholar
Farquhar, G. D., Ehleringer, J. R. and Hubick, K. T. (1989). Carbon isotope discrimination and photosynthesis. Annual Review of Plant Physiology and Plant Molecular Biology 40:503537.CrossRefGoogle Scholar
Fischer, R. A., Rees, D., Sayre, K. D., Lu, Z. M., Condon, A. G. and Larque, Saaverda A. (1998). Wheat yield progress associated with stomatal conductance and photosynthetic rates and cooler canopies. Crop Science 38:14671475.Google Scholar
Hede, A. R., Skovmand, B., Reynolds, M. P., Crossa, J., Vilhelmsen, A. L. and Stolen, O. (1999). Evaluating genetic diversity for heat tolerance traits in Mexican wheat landraces. Genetic Resources and Crop Evolution 46:3745.CrossRefGoogle Scholar
Jalota, S. K., Vashisht, B. B., Kaur, H., Kaur, S. and Kaur, P. (2014). Location specific climate change scenario and its impact on rice and wheat in Central Indian Punjab. Agricultural Systems 131:7786.Google Scholar
Latiri, K., Lhomme, J. P., Annabi, M. and Setter, T. L. (2010). Wheat production in Tunisia: Progress, inter-annualvariability and relation to rainfall. European Journal of Agronomy 33:3342.Google Scholar
Lilley, J. M. and Fukai, S. (1994). Effect of timing and severity of water deficit on four diverse rice cultivars. I. Root pattern and soil water extraction. Field Crops Research 37:205213.Google Scholar
Liu, C. M., Zhang, X. Y. and Zhang, Y. Q. (2002). Determination of daily evaporation and evapotranspiration of winter wheat and maize by large-scale weighing lysimeter and micro-lysimeter. Agriculture and Forest Meteorology 111:109120.CrossRefGoogle Scholar
Luquet, D., Begue, A., Vidal, A., Clouvel, P., Dauzat, J., Olioso, A., Gu, X. F. and Tao, Y. (2003). Using multidirectional thermography to characterize water status of cotton. Remote Sensing of Environment 84:411421.Google Scholar
Mahan, J. R., Young, A. W. and Payton, P. (2012). Deficit irrigation in a production setting: Canopy temperature as an adjunct to ET estimates. Irrigation Science 30:127137.Google Scholar
Mei, X., Zhong, X., Vincent, V. and Liu, X. (2013). Improving water use efficiency of wheat crop varieties in the North China Plain: Review and analysis. Journal of Integrative Agriculture 12:12431250.CrossRefGoogle Scholar
Mohammadi, M., Karimizadeh, R., Sabaghnia, N. and Shefazadeh, M. K. (2012). Effective application of canopy temperature for wheat genotypes screening under different water availability in warm environments. Bulgarian Journal of Agricultural Science 18:934941.Google Scholar
Olivares-Villegas, J. J., Reynolds, M. P. and McDonald, G. K. (2007). Drought-adaptive attributes in the Seri/Babax hexaploid wheat population. Functional Plant Biology 34:189203.Google Scholar
O'Toole, J. C. and Moya, T. B. (1978). Genetic variation in maintenance of leaf water potential in rice. Crop Science 18:873876.Google Scholar
Pantuwan, G., Fukai, S., Cooper, M., Rajatasereekul, S. and O'Toole, J. C. (2001a). Yield response of rice (Oryza sativa L.) genotypes to drought under rainfed lowlands. I. Grain yield and yield components. Field Crops Research 73:153168.Google Scholar
Pantuwan, G., Fukai, S., Cooper, M., Rajatasereekul, S. and O'Toole, J. C. (2001b). Yield response of rice (Oryza sativa L.) genotypes to drought under rainfed lowlands. II. Selection of drought resistant genotypes. Field Crops Research 73:169180.Google Scholar
Pierre, C. S., Crossa, J., Manes, Y. and Reynolds, M. P. (2010). Gene action of canopy temperature in bread wheat under diverse environments. Theoretical and Applied Genetics 120:11071117.Google Scholar
Rashid, A., Stark, J. C., Tanveer, A. and Mustafa, T. (1999). Use of canopy temperature measurements as a screening tool for drought tolerance in spring wheat. Journal of Agronomy and Crop Science 182:231237.Google Scholar
Rebetzke, G. J., Rattey, A. R., Farquhar, G. D., Richards, R. A. and Condon, A. G. (2013). Genomic regions for canopy temperature and their genetic association with stomatal conductance and grain yield in wheat. Functional Plant Biology 40:1433.Google Scholar
Rehman, A. U., Malhotra, R. S., Bett, K., Tar'an, B., Bueckert, R. and Warkentin, T. D. (2011). Mapping QTL associated with traits affecting grain yield in chickpea (Cicer arietinum L.) under terminal drought stress. Crop Science 51:450463.Google Scholar
Rijk, B., van Ittersum, M. and Withagen, J. (2013). Genetic progress in Dutch crop yields. Field Crops Research 149:262268.Google Scholar
Singh, Y. P., Nayak, A. K., Sharma, D. K., Gautam, R. K., Singh, R. K., Singh, R., Mishra, V. K., Paris, T. and Ismail, A. M. (2014). Farmers’ participatory varietal selection: A sustainable crop improvement approach for the 21st century. Agroecology and Sustainable Food Systems 38:427444.Google Scholar
Tallec, T., Beziat, P., Jarosz, N., Rivalland, V. and Ceschia, E. (2013). Crops' water use efficiencies in temperate climate: Comparison of stand, ecosystem and agronomical approaches. Agricultural and Forest Meteorology 168:6981.Google Scholar
Wang, J., Gong, S., Xu, D., Yu, Y. and Zhao, Y. (2013). Impact of drip and level-basin irrigation on growth and yield of winter wheat in the North China Plain. Irrigation Science 31:10251037.Google Scholar
Zhang, X., Wang, Y., Sun, H., Chen, S. and Shao, L. (2013). Optimizing the yield of winter wheat by regulating water consumption during vegetative and reproductive stages under limited water supply. Irrigation Science 31:11031112.Google Scholar
Zhang, X. Y., Chen, S. Y., Sun, H. Y., Pei, D. and Wang, Y. M. (2008). Dry matter, harvest index, grain yield and water use efficiency as affected by water supply in winter wheat. Irrigation Science 27:110.CrossRefGoogle Scholar
Zhang, X. Y., Pei, D. and Chen, S. Y. (2004). Root growth and soil water utilization of winter wheat in the North China Plain. Hydrological Processes 18:22752287.CrossRefGoogle Scholar
Zhang, Y., Zhang, Y., Wang, Z. and Wang, Z. (2011). Characteristics of canopy structure and contributions of non-leaf organs to yield in winter wheat under different irrigated conditions. Field Crops Research 123:187195.CrossRefGoogle Scholar