Tags

Type your tag names separated by a space and hit enter

QTL mapping for yield-related traits in wheat based on four RIL populations.
Theor Appl Genet. 2020 Mar; 133(3):917-933.TA

Abstract

KEY MESSAGE

Eight environmentally stable QTL for grain yield-related traits were detected by four RIL populations, and two of them were validated by a natural wheat population containing 580 diverse varieties or lines. Yield and yield-related traits are important factors in wheat breeding. In this study, four RIL populations derived from the cross of one common parent Yanzhan 1 (a Chinese domesticated cultivar) and four donor parents including Hussar (a British domesticated cultivar) and three semi-wild wheat varieties in China were phenotyped for 11 yield-related traits in eight environments. An integrated genetic map containing 2009 single-nucleotide polymorphism (SNP) markers generated from a 90 K SNP array was constructed to conduct quantitative trait loci (QTL) analysis. A total of 161 QTL were identified, including ten QTL for grain yield per plant (GYP) and yield components, 49 QTL for spike-related traits, 43 QTL for flag leaf-related traits, 22 QTL for plant height (PH), and 37 QTL for heading date and flowering date. Eight environmentally stable QTL were validated in individual RIL population where the target QTL was notably detected, and six of them had a significant effect on GYP. Furthermore, Two QTL, QSPS-2A.4 and QSL-4A.1, were also validated in a natural wheat population containing 580 diverse varieties or lines, which provided valuable resources for further fine mapping and genetic improvement in yield in wheat.

Authors+Show Affiliations

State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China.State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China.Lianyungang Academy of Agricultural Sciences, Lianyungang, 222000, China.State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China.State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China.State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China.State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China.State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China.National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China. lkong@sdau.edu.cn.State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China. wanghongwei@sdau.edu.cn.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31897512

Citation

Hu, Junmei, et al. "QTL Mapping for Yield-related Traits in Wheat Based On Four RIL Populations." TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik, vol. 133, no. 3, 2020, pp. 917-933.
Hu J, Wang X, Zhang G, et al. QTL mapping for yield-related traits in wheat based on four RIL populations. Theor Appl Genet. 2020;133(3):917-933.
Hu, J., Wang, X., Zhang, G., Jiang, P., Chen, W., Hao, Y., Ma, X., Xu, S., Jia, J., Kong, L., & Wang, H. (2020). QTL mapping for yield-related traits in wheat based on four RIL populations. TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik, 133(3), 917-933. https://doi.org/10.1007/s00122-019-03515-w
Hu J, et al. QTL Mapping for Yield-related Traits in Wheat Based On Four RIL Populations. Theor Appl Genet. 2020;133(3):917-933. PubMed PMID: 31897512.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - QTL mapping for yield-related traits in wheat based on four RIL populations. AU - Hu,Junmei, AU - Wang,Xiaoqian, AU - Zhang,Guangxu, AU - Jiang,Peng, AU - Chen,Wuying, AU - Hao,Yongchao, AU - Ma,Xin, AU - Xu,Shoushen, AU - Jia,Jizeng, AU - Kong,Lingrang, AU - Wang,Hongwei, Y1 - 2020/01/02/ PY - 2019/07/19/received PY - 2019/12/17/accepted PY - 2020/1/4/pubmed PY - 2020/11/20/medline PY - 2020/1/4/entrez SP - 917 EP - 933 JF - TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik JO - Theor Appl Genet VL - 133 IS - 3 N2 - KEY MESSAGE: Eight environmentally stable QTL for grain yield-related traits were detected by four RIL populations, and two of them were validated by a natural wheat population containing 580 diverse varieties or lines. Yield and yield-related traits are important factors in wheat breeding. In this study, four RIL populations derived from the cross of one common parent Yanzhan 1 (a Chinese domesticated cultivar) and four donor parents including Hussar (a British domesticated cultivar) and three semi-wild wheat varieties in China were phenotyped for 11 yield-related traits in eight environments. An integrated genetic map containing 2009 single-nucleotide polymorphism (SNP) markers generated from a 90 K SNP array was constructed to conduct quantitative trait loci (QTL) analysis. A total of 161 QTL were identified, including ten QTL for grain yield per plant (GYP) and yield components, 49 QTL for spike-related traits, 43 QTL for flag leaf-related traits, 22 QTL for plant height (PH), and 37 QTL for heading date and flowering date. Eight environmentally stable QTL were validated in individual RIL population where the target QTL was notably detected, and six of them had a significant effect on GYP. Furthermore, Two QTL, QSPS-2A.4 and QSL-4A.1, were also validated in a natural wheat population containing 580 diverse varieties or lines, which provided valuable resources for further fine mapping and genetic improvement in yield in wheat. SN - 1432-2242 UR - https://www.unboundmedicine.com/medline/citation/31897512/QTL_mapping_for_yield_related_traits_in_wheat_based_on_four_RIL_populations_ L2 - https://dx.doi.org/10.1007/s00122-019-03515-w DB - PRIME DP - Unbound Medicine ER -