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

Publication Type:
Journal Article
Citation:
International Journal of Plant Production, 2018, 12 (1), pp. 61 - 71
Issue Date:
2018-03-01
Metrics:
Full metadata record
Files in This Item:
Filename Description Size
Yang2018_Article_SpatialPatternsOfRelationshipB.pdfPublished Version1.03 MB
Adobe PDF
© 2018, Springer International Publishing AG, part of Springer Nature. 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.
Please use this identifier to cite or link to this item: