QTL Mapping for Root Traits and Their Effects on Nutrient Uptake and Yield Performance in Common Wheat (<em>Triticum aestivum</em> L.)

Wheat is one of the most important crops in the world. Mapping QTLs for root traits is essential for the selection of wheat roots desirable for the efficient acquisition of nutrients. Here, a QTL analysis for wheat root traits was performed using 142 recombinant inbred lines derived from two wheat v...

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Main Authors: Yanhua Xu, Yuzhen Yang, Si Wu, Dongcheng Liu, Yongzhe Ren
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/13/1/210
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author Yanhua Xu
Yuzhen Yang
Si Wu
Dongcheng Liu
Yongzhe Ren
author_facet Yanhua Xu
Yuzhen Yang
Si Wu
Dongcheng Liu
Yongzhe Ren
author_sort Yanhua Xu
collection DOAJ
description Wheat is one of the most important crops in the world. Mapping QTLs for root traits is essential for the selection of wheat roots desirable for the efficient acquisition of nutrients. Here, a QTL analysis for wheat root traits was performed using 142 recombinant inbred lines derived from two wheat varieties Xiaoyan 54 and Jing 411 in a soil column culture trial. The genetic map used in this study contained 470 SSR markers and covered 3438.4 cM of wheat genome. A total of 25 QTLs for root and shoot traits were detected, located at 16 marker intervals of 13 chromosomes. The percentage of phenotypic variation explained by individual QTLs varied from 6.1% to 22.0%. The QTLs regulating RDW and root distribution on chromosomes 1A, 3A, 4A, and 5B are important for root growth in both the top- and subsoils. For <i>qRDW-1A</i>, <i>qRDW-3A,</i> and <i>qRDW-5B</i>, the nearest markers to the QTLs were much closer than that of <i>qRDW-4A</i>, with the genetic distances ranging from 0.01 to 1.18 cM. Combining these three QTLs not only increased RDW and nutrient uptake, but also increased GW, SDW, and BDW under low nitrogen conditions in the field trial. Therefore, these QTLs are valuable for marker-assisted selection of wheat root traits.
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spelling doaj.art-8aafc91bc99741bea74a10018684ac302023-11-30T20:47:19ZengMDPI AGAgriculture2077-04722023-01-0113121010.3390/agriculture13010210QTL Mapping for Root Traits and Their Effects on Nutrient Uptake and Yield Performance in Common Wheat (<em>Triticum aestivum</em> L.)Yanhua Xu0Yuzhen Yang1Si Wu2Dongcheng Liu3Yongzhe Ren4College of Life Sciences, Zhengzhou Normal University, Zhengzhou 450044, ChinaCollege of Life Sciences, Zhengzhou Normal University, Zhengzhou 450044, ChinaCollege of Life Sciences, Zhengzhou Normal University, Zhengzhou 450044, ChinaState Key Laboratory of North China Crop Improvement and Regulation, College of Agronomy, Hebei Agricultural University, Baoding 071001, ChinaState Key Laboratory of Wheat and Maize Crop Science, Collaborative Innovation Center of Henan Grain Crops, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, ChinaWheat is one of the most important crops in the world. Mapping QTLs for root traits is essential for the selection of wheat roots desirable for the efficient acquisition of nutrients. Here, a QTL analysis for wheat root traits was performed using 142 recombinant inbred lines derived from two wheat varieties Xiaoyan 54 and Jing 411 in a soil column culture trial. The genetic map used in this study contained 470 SSR markers and covered 3438.4 cM of wheat genome. A total of 25 QTLs for root and shoot traits were detected, located at 16 marker intervals of 13 chromosomes. The percentage of phenotypic variation explained by individual QTLs varied from 6.1% to 22.0%. The QTLs regulating RDW and root distribution on chromosomes 1A, 3A, 4A, and 5B are important for root growth in both the top- and subsoils. For <i>qRDW-1A</i>, <i>qRDW-3A,</i> and <i>qRDW-5B</i>, the nearest markers to the QTLs were much closer than that of <i>qRDW-4A</i>, with the genetic distances ranging from 0.01 to 1.18 cM. Combining these three QTLs not only increased RDW and nutrient uptake, but also increased GW, SDW, and BDW under low nitrogen conditions in the field trial. Therefore, these QTLs are valuable for marker-assisted selection of wheat root traits.https://www.mdpi.com/2077-0472/13/1/210QTLrootlow nitrogenyieldwheat
spellingShingle Yanhua Xu
Yuzhen Yang
Si Wu
Dongcheng Liu
Yongzhe Ren
QTL Mapping for Root Traits and Their Effects on Nutrient Uptake and Yield Performance in Common Wheat (<em>Triticum aestivum</em> L.)
Agriculture
QTL
root
low nitrogen
yield
wheat
title QTL Mapping for Root Traits and Their Effects on Nutrient Uptake and Yield Performance in Common Wheat (<em>Triticum aestivum</em> L.)
title_full QTL Mapping for Root Traits and Their Effects on Nutrient Uptake and Yield Performance in Common Wheat (<em>Triticum aestivum</em> L.)
title_fullStr QTL Mapping for Root Traits and Their Effects on Nutrient Uptake and Yield Performance in Common Wheat (<em>Triticum aestivum</em> L.)
title_full_unstemmed QTL Mapping for Root Traits and Their Effects on Nutrient Uptake and Yield Performance in Common Wheat (<em>Triticum aestivum</em> L.)
title_short QTL Mapping for Root Traits and Their Effects on Nutrient Uptake and Yield Performance in Common Wheat (<em>Triticum aestivum</em> L.)
title_sort qtl mapping for root traits and their effects on nutrient uptake and yield performance in common wheat em triticum aestivum em l
topic QTL
root
low nitrogen
yield
wheat
url https://www.mdpi.com/2077-0472/13/1/210
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