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| QTL Mapping for Fast Chlorophyll Fluorescence Parameters in Maize (Zea mays) |
| LU Feng, LI Lu-Lu, CHEN Wan-Ying, LI Bei, YAO Su-Yi, SUN Yu, LIU Huan-Huan, YIN Zhi-Tong* |
| Key Laboratory of Plant Functional Genomics, Ministry of Education/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops/Joint International Research Laboratory of Agriculture & Agri-Product Safety of MOE/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Yangzhou University, Yangzhou 225009, China |
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Abstract Photosynthesis is closely related to crop yield. Fast chlorophyll fluorescence parameters can sensitively reflect the electron transport rate in photosynthesis. Studying the genetic basis of fast chlorophyll fluorescence parameters can help in breeding maize (Zea mays) hybrid with high photosynthetic efficiency. In this study, 160 recombinant inbred lines (RILs) derived from maize hybrid 'Xianyu335' by continuous self-crossing for 7 generations were used to construct a high-density genetic map and map QTLs for fast chlorophyll fluorescence parameters. For this purpose, 5 parameters including ABS/CSo, TRo/CSo, ETo/CSo, ETo/TRo, PIcs were measured in the RILs grown under 4 field conditions. A high-density SNP genetic map with a total length of 1 896.423 cM was constructed by SNP molecular markers originated from 20K molecular chips. The genetic map contained 2 915 markers, and the average distance between markers was 0.66 cM. A total of 15 related QTLs were identified using the best linear unbiased predictor (BLUP) of fast chlorophyll fluorescence parameters in multiple environments. The logarithm of odds (LOD) value were 2.52~7.35 and the explicable phenotypic variation were 4.56%~14.81%. Three of these QTLs were stably expressed in multiple environments, namely qREC3-1, qRPI2-1, and qRPI3-2. This study could provide a reference for further fine mapping of QTLs of rapid chlorophyll fluorescence parameters and molecular marker-assisted selection for high photosynthetic efficiency breeding.
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Received: 19 October 2020
Published: 01 May 2021
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Corresponding Authors:
*ztyin@yzu.edu.cn
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