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Genome-wide linkage mapping for canopy activity related traits using three RIL populations in bread wheat

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Abstract

Among yield contributing traits, the contribution of canopy activity related traits has been less studied. In this study, quantitative trait loci (QTL) for the normalized difference vegetation index (NDVI) at the seedling (NDVI-S) and grain filling (NDVI-10) stages and the chlorophyll (Chl) content at the grain filling stage (Chl-10) were mapped using three recombinant inbred line (RIL) populations of wheat derived from the following crosses: Doumai × Shi 4185 (D × S), Gaocheng 8901 × Zhoumai 16 (G × Z) and Linmai 2 × Zhong 892 (L × Z). In the three RIL populations, 6, 16 and 14 QTL were identified for NDVI-S, NDVI-10 and Chl-10, respectively. Furthermore, 6, 10 and 10 of the QTL were newly detected. Three QTL QNDVI-10.caas-4BS, QNDVI-10.caas-4DS and QChl-10.caas-4BS, were commonly detected in two populations. Twelve QTL clusters for both canopy activity related traits in the present study and grain yield (GY) related traits in our previous study were identified. NDVI-S is phenotypically and genetically correlated with thousand-kernel weight (TKW), which can be used to select lines with a high TKW. The QTL clusters harbouring QTL for canopy activity related traits and GY related traits are valuable in marker-assisted selection (MAS) of loci with pleiotropic effects. In addition, the stable QTL QNDVI-S.caas-1AL and QNDVI-10.caas-3B can be used to identify high NDVI lines at the seedling and grain filling stages, respectively. Our study provided new insight into the genetic architecture of the GY based on canopy activity related traits.

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The data of the current study is available upon request.

Abbreviations

ANOVA:

Analysis of variance

BLUE:

Best linear unbiased estimation

Chl:

Chlorophyll

FLL:

Flag leaf length

FLW:

Flag leaf width

GY:

Grain yield

GWAS:

Genome-wide association study

h b 2 :

Broad-sense heritability

HD:

Heading date

ICIM:

Inclusive composite interval mapping

IPT:

Isopentenyl transferase

KL:

Kernel length

KNS:

Kernel number per spike

KW:

Kernel width

LOD:

Logarithm of odds

MAS:

Marker-assisted selection

NDVI:

Normalized difference vegetation index

PH:

Plant height

QTL:

Quantitative trait loci

R 2 :

Phenotypic variance explained

RIL:

Recombinant inbred line

SDW:

Spike dry weight

SL:

Spike length

SN:

Spike number per unit area

SNP:

Single nucleotide polymorphism

SPAD:

Soil and plant analyzer development

TKW:

Thousand-kernel weight

UIL:

Uppermost internode length

YHRVWD:

Yellow and Huai River Valleys Wheat Zone

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Acknowledgements

This work was funded by the National Key Research and Development Program of China (2017YFD0100600, 2016YFD0101802, 2016YFD0100502, 2016YFE0108600), Agricultural Scientific and Technological Innovation Project of Shandong Academy of Agricultural Sciences (CXGC2016B01, CXGC2018E01), TaiShan Industrial Experts Programme (No.tscy20190106), and National Natural Science Foundation of China (31371623, 31461143021).

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Authors and Affiliations

  1. Crop Research Institute, National Engineering Laboratory for Wheat and Maize, Key Laboratory of Wheat Biology and Genetic Improvement in the Northern Yellow-Huai Rivers Valley of Ministry of Agriculture and Rural Affairs, Shandong Academy of Agricultural Sciences, 202 Gongye North Road, Jinan, 250100, China

    Faji Li, Shengnan Zhai, Xinyou Cao, Cheng Liu, Dungong Cheng, Jun Guo, Yan Zi, Ran Han, Xiaolu Wang, Aifeng Liu, Jianmin Song, Jianjun Liu & Haosheng Li

  2. Department of Cell Biology, Zunyi Medical University, 6 Xuefu West Road, Zunyi, 563099, China

    Weie Wen

  3. Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences (CAAS), 7 Pengfei Road, Shenzhen, 518124, China

    Jindong Liu

  4. Institute of Crop Sciences, National Wheat Improvement Center, Chinese Academy of Agricultural Sciences (CAAS), 12 Zhongguancun South Street, Beijing, 100081, China

    Xianchun Xia

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  1. Faji Li
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  2. Weie Wen
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  3. Jindong Liu
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Contributions

FL performed the experiments and wrote the paper. WW and JL participated in the field trials. SZ, XC, CL, DC, JG, YZ, RH, XW, AL, JS, and JL assisted in writing the paper. HL and XX designed the experiment and assisted in writing the paper. All authors read and approved the final manuscript.

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Correspondence to Haosheng Li or Xianchun Xia.

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Table S10

Details of frame SNP markers mapped in the linkage maps for the Doumai × Shi 4185, Gaocheng 8901 × Zhoumai 16 and Linmai 2 × Zhong 892 RIL populations (Li et al. 2018) (XLSX 385 kb)

Table S1

Mean, standard deviation (SD), and range of canopy activity related traits in the Doumai×Shi 4185 RIL population. Table S2 Mean, standard deviation (SD), and range of canopy activity related traits in the Gaocheng 8901×Zhoumai 16 RIL population. Table S3 Mean, standard deviation (SD), and range of canopy activity related traits in the Linmai 2×Zhong 892 RIL population. Table S4 Analysis of variance and broad-sense heritabilities (hb2) for canopy activity related traits in the Doumai×Shi 4185 RIL population. Table S5 Analysis of variance and broad-sense heritabilities (hb2) for canopy activity related traits in the Gaocheng 8901 ×Zhoumai 16 RIL population. Table S6 Analysis of variance and broad-sense heritabilities (hb2) for canopy activity related traits in the Linmai 2×Zhong 892 RIL population. Table S7 Number and distribution of frame markers in the genetic linkage map constructed with the Doumai × Shi 4185 RIL population (Li et al. 2018). Table S8 Number and distribution of frame markers in the genetic linkage map constructed with the Gaocheng 8901 × Zhoumai 16 RIL population (Li et al. 2018). Table S9 Number and distribution of frame markers in the genetic linkage map constructed with the Linmai 2 × Zhong 892 RIL population (Li et al. 2018). Table S11 Correlation coefficients between canopy activity related traits in the present study and grain yield related traits in our previous study (Li et al. 2018) in the Doumai × Shi 4185 RIL population. Table S12 Correlation coefficients between canopy activity related traits in the present study and grain yield related traits in our previous study (Li et al. 2018) in the Gaocheng 8901 × Zhoumai 16 RIL population. Table S13 Correlation coefficients between canopy activity related traits in the present study and grain yield related traits in our previous study (Li et al. 2018) in the Linmai 2 × Zhong 892 RIL population. (DOCX 33 kb)

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Li, F., Wen, W., Liu, J. et al. Genome-wide linkage mapping for canopy activity related traits using three RIL populations in bread wheat. Euphytica 217, 67 (2021). https://doi.org/10.1007/s10681-021-02797-w

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