International Journal of Plant Production

, Volume 12, Issue 1, pp 61–71 | Cite as

Spatial Patterns of Relationship Between Wheat Yield and Yield Components in China

Original Paper
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Abstract

The considerable plasticity of wheat (Triticum aestivum L.) in reaching final yield is dynamically determined by three yield components: spike number m−2 (SN), kernel number spike−1 (KN) and 1000-kernel weight (KW). Understanding the contribution of yield components to the variation of grain yield under different production environments is essential for designing breeding programs and increasing grain production. This study analyzed 2 years of experimental data from the Chinese Variety Evaluation Program to explore the relationship between grain yield and yield components in four main winter wheat production regions. Correlation and path analysis were the main methods used in this paper. Yield and yield components were restricted by high temperature and lower sunshine hours at southern regions (Upper Yangtze Valleys, UY and Middle and Lower Yangtze Valleys, MLY). No relationship between yield and climate elements was found at northern region (Yellow and Huai Valleys, YH and Northern Land, NL). Yield in the YH region was the greatest with both higher SN and KN, and SN had strong negative relationships with KN and KW. SN was the main factor correlated the variation of yield, especially in low yielding regions (UY and NL), suggesting breeding efforts should emphasize increasing SN in these environments. The role of KW and KN became increasingly important in high yielding region (YH), indicating that all yield components should be considered in breeding for high yielding environments.

Keywords

Wheat yield Yield components Spike number Kernel number Kernel weight Climate elements 
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Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China (Grant Nos. 41371119 and 31400416) and by the Natural Science Foundation of Jiangsu Province (Grant No. BK20140988).

References

  1. Acreche, M. M., & Slafer, G. A. (2006). Grain weight response to increases in number of grains in wheat in a Mediterranean area. Field Crops Research, 98, 52–59.CrossRefGoogle Scholar
  2. Cooper, J. K., Ibrahim, A. M. H., Subas Malla, J. R., Hays, D. B., & Baker, J. (2012). Increasing hard winter wheat yield potential via synthetic wheat: I. path-coefficient analysis of yield and its components. Crop Science, 52, 2014–2022.CrossRefGoogle Scholar
  3. Duggan, B. L., & Fowler, D. B. (2006). Yield structure and kernel potential of winter wheat on the Canadian Prairies. Crop Science, 46, 1479–1487.CrossRefGoogle Scholar
  4. Ferrante, A., Cartelle, J., Savin, R., & Slafer, G. A. (2017). Yield determination, interplay between major components and yield stability in a traditional and a contemporary wheat across a wide range of environments. Field Crops Research, 203, 114–127.CrossRefGoogle Scholar
  5. Fischer, R. A. (1984). Wheat. In E. W. H. Smith & S. J. Banks (Eds.), Proceedings of symposium on potential productivity of field crops under different environments (pp. 129–154). Los Baños: IRRI.Google Scholar
  6. Fischer, R. A. (2007). Understanding the physiological basis of yield potential in wheat. The Journal of Agricultural Science, 145, 99–113.CrossRefGoogle Scholar
  7. Fischer, R. A. (2011). Wheat physiology: A review of recent developments. Crop and Pasture Science, 62, 95–114.CrossRefGoogle Scholar
  8. Gambín, B. L., & Borrás, L. (2010). Resource distribution and the trade-off between seed number and seed weight: A comparison across crop species. Annals of Applied Biology, 156, 91–102.CrossRefGoogle Scholar
  9. García del Moral, L. F., Rharrabti, Y., Villegas, D., & Royo, C. (2003). Evaluation of grain yield and its components in durum wheat under Mediterranean conditions: An ontogenic approach. Agronomy Journal, 95, 266–274.CrossRefGoogle Scholar
  10. Güler, M., Adak, M. S., & Ulukan, H. (2001). Determining relationships among yield and some yield components using path coefficient analysis in chickpea. European Journal of Agronomy, 14, 161–166.CrossRefGoogle Scholar
  11. Jin, S. B. (1996). Chinese wheat science (pp. 441–447). Beijing: China Agriculture Press.Google Scholar
  12. Kennedy, S. P., Bingham, I. J., & Spink, J. H. (2017). Determinants of spring barley yield in a high-yield potential environment. The Journal of Agriculture Science, 155, 60–80.CrossRefGoogle Scholar
  13. Li, S., Wheeler, T., Challinor, A., Lin, E., Ju, H., & Xu, Y. (2010). The observed relationships between wheat and climate in China. Agricultural and Forest Meteorology, 150, 1412–1419.CrossRefGoogle Scholar
  14. McMaster, G. S. (2005). Centenary review: Phytomers, phyllochrons, phenology and temperate cereal development. The Journal Agriculture of Science, 143, 137–150.CrossRefGoogle Scholar
  15. Miralles, D. J., & Slafer, G. A. (2007). Sink limitations to yield in wheat: How could it be reduced? Journal of Agricultural Science, 145, 139–149.CrossRefGoogle Scholar
  16. Mohsin, T., Khan, N., & Naqvi, F. N. (2009). Heritability, phenotypic correlation and path coefficient studies for some agronomic characters in synthetic elite lines of wheat. Journal of Food, Agriculture and Environment, 7, 278–282.Google Scholar
  17. Peltonen-Sainio, P., Kangas, A., Salo, Y., & Jauhiainen, L. (2007). Grain number dominates grain weight in temperate cereal yield determination: Evidence based on 30 years of multi-location trials. Field Crops Research, 100, 179–188.CrossRefGoogle Scholar
  18. Reynolds, M., Foulkes, J. M., Slafer, G. A., Berry, P., Snape, J. W., & Angus, W. J. (2009). Raising yield potential in wheat. Journal of Experimental Botany, 60, 1899–1918.CrossRefPubMedGoogle Scholar
  19. Sadras, V. O. (2007). Evolutionary aspects of the trade-off between seed size and number in crops. Field Crops Research, 100, 125–138.CrossRefGoogle Scholar
  20. Sadras, V. O., & Denison, R. F. (2009). Do plant parts compete for resources? An evolutionary perspective. New Phytologist, 183, 565–574.CrossRefPubMedGoogle Scholar
  21. Sadras, V. O., & Slafer, G. A. (2012). Environmental modulation of yield components in cereals: heritabilities reveal a hierarchy of phenotypic plasticities. Field Crops Research, 127, 215–224.CrossRefGoogle Scholar
  22. Slafer, G. A. (2003). Genetic basis of yield as viewed from a crop physiologist’s perspective. Annals of Applied Biology, 142, 117–128.CrossRefGoogle Scholar
  23. Slafer, G. A., Savin, R., & Sadras, V. O. (2014). Coarse and fine regulation of wheat yield components in response to genotype and environment. Field Crops Research, 157, 71–83.CrossRefGoogle Scholar
  24. Wardlaw, I. F., & Wrigley, C. W. (1994). Heat tolerance in temperate cereals: An overview. Australian Journal of Plant Physiology, 21, 695–703.CrossRefGoogle Scholar
  25. Yang, X., Senthold, A., Wong, M. T. F., Yu, Q., Li, J., & Liu, E. (2013). Quantifying the interactive impacts of global dimming and warming on wheat yield and water use in China. Agricultural and Forest Meteorology, 182–183, 342–351.CrossRefGoogle Scholar
  26. Yu, Q., Li, L., Luo, Q., Eamus, D., Xu, S., Chen, C., et al. (2014). Year patterns of climate impact on wheat yields. International Journal of Climatology, 34, 518–528.CrossRefGoogle Scholar
  27. Zhang, L., van der Werf, W., Zhang, S., Li, B., & Spiertz, J. H. J. (2007). Growth: Yield and quality of wheat and cotton in relay strip intercropping systems. Field Crops Research, 103, 178–188.CrossRefGoogle Scholar
  28. Zhang, X. K., Xiao, Y. G., Zhang, Y., Xia, X. C., Dubcovsky, J., & He, Z. H. (2008). Allelic variation at the vernalization genes Vrn-A1, Vrn-B1, Vrn-D1, and Vrn-B3 in Chinese wheat cultivars and their association with growth habit. Crop Science, 48, 458–470.CrossRefGoogle Scholar
  29. Zhang, Q., & Zhang, J. Q. (2016). Drought hazard assessment in typical corn cultivated areas of China at present and potential climate change. Natural Hazards, 81(2), 1323–1331.CrossRefGoogle Scholar
  30. Zhang, Q., Zhang, J. Q., & Wang, C. Y. (2016). Risk assessment of drought disaster in typical area of corn cultivation in China. Theoretical and Applied Climatology  https://doi.org/10.1007/s00704-015-1723-4.

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied MeteorologyNanjing University of Information Science and TechnologyNanjingChina
  2. 2.USDA-ARS, Water Management and Systems Research UnitFort CollinsUSA
  3. 3.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess PlateauNorthwest A&F UniversityYanglingChina
  4. 4.School of Life SciencesUniversity of TechnologySydneyAustralia
  5. 5.College of Resources and EnvironmentUniversity of Chinese Academy of ScienceBeijingChina

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