QTL for flag leaf size and their influence on yield-related traits in wheat
- 300 Downloads
Flag leaf-related traits (FLRTs) are determinant traits affecting plant architecture and yield potential in wheat (Triticum aestivum L.). In this study, three related recombinant inbred line (RIL) populations with a common female parent were developed to identify quantitative trait loci (QTL) for flag leaf width (FLW), length (FLL), and area (FLA) in four environments. A total of 31 QTL were detected in four environments. Two QTL for FLL on chromosomes 3B and 4A (QFll-3B and QFll-4A) and one for FLW on chromosome 2A (QFlw-2A) were major stable QTL. Ten QTL clusters (C1–C10) simultaneously controlling FLRTs and yield-related traits (YRTs) were identified. To investigate the genetic relationship between FLRTs and YRTs, correlation analysis was conducted. FLRTs were found to be positively correlated with YRTs especially with kernel weight per spike and kernel number per spike in all the three RIL populations and negatively correlated with spike number per plant. Appropriate flag leaf size could benefit the formation of high yield potential. This study laid a genetic foundation for improving yield potential in wheat molecular breeding programs.
KeywordsFlag leaf-related traits Yield potential Quantitative trait loci QTL clusters
Flag leaf-related traits
Flag leaf width
Flag leaf length
Flag leaf area
Kernel number per spike
Spike number per plant
Kernel weight per plant
Kernel weight per spike
Recombinant inbred line population derived from the cross between Weimai 8 and Luohan 2
Recombinant inbred line population derived from the cross between Weimai 8 and Yannong 19
Recombinant inbred line population derived from the cross between Weimai 8 and Jimai 20
This research was supported by the National Natural Science Foundation of China (31701505, 31471573, 31671673), Shandong Provincial Science Foundation for Outstanding Youth (ZR2017JL017), and Natural Science Foundation of Lu dong University (33060301, 33140301).
HW and FC designed research; CZ, AD, and YB conducted genotyping of the three RIL populations; CZ, XW, HY, CG, JC, DZ, LL and XL conducted phenotyping of the three populations; CZ, FC, HS and YW analyzed data and wrote the paper; HW and XL had primary responsibility for final content. All authors read and approved the final manuscript.
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
All of the authors have read and have abided by the statement of ethical standards for manuscripts submitted to Euphytica.
- Beavis WB (1998) QTL analyses: power, precision, and accuracy. In: Patterson AH (ed) Molecular dissection of complex traits. CRC Press, Boca Raton, pp 145–161Google Scholar
- Chang X, Li FJ, Zhang ZP, Zhang XC, Liu LP, Yang X, Sun DJ (2014) Mapping QTL for flag leaf length, width and area in wheat. Acta Bot Boreal Occident Sin 34:896–901Google Scholar
- Fontaine JX, Ravel C, Pageau K, Heumez E, Dubois F, Hirel B, Gouis JL (2009) A quantitative genetic study for elucidating the contribution of glutamine synthetase, glutamate dehydrogenase and other nitrogen-related physiological traits to the agronomic performance of common wheat. Theor Appl Genet 119:645–662CrossRefGoogle Scholar
- Ibrahim HA, Abo Elenein RA (1977) The relative contribution of different wheat leaves and awns to the grain yield and its protein content. Z Ack Pflanz 144:1–7Google Scholar
- Lian JF, Zhang DQ, Wu BJ, Song XP, Ma WJ, Zhou LM, Feng Y, Sun DJ (2016) QTL mapping of flag leaf traits using an integrated high-density 90 K genotyping chip. J Trticeae Crops 36:689–698Google Scholar
- Xu HY, Zhao JS (1995) Canopy photosynthesis capacity and the contribution from different organs in high-yielding winter wheat. Acta Agron Sin 21:204–209Google Scholar
- Yan X, Shi YG, Liang ZH, Yang B, Li XY, Wang SG, Sun DZ (2015) QTL mapping for morphological traits of flag leaf in wheat. J Nucl Agric Sci 29:1253–1259Google Scholar