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Journal of Integrative Agriculture  2013, Vol. 12 Issue (5): 765-772    DOI: 10.1016/S2095-3119(13)60298-1
Crop Genetics · Breeding · Germplasm Resources Advanced Online Publication | Current Issue | Archive | Adv Search |
Identification of Quantitative Trait Loci for Phytic Acid Concentration in Maize Grain Under Two Nitrogen Conditions
 LIU Jian-chao, HUANG Ya-qun, MA Wen-qi, ZHOU Jin-feng, BIAN Fen-ru, CHEN Fan-jun , MI Guo-hua
1.Key Lab of Plant-Soil Interaction, Ministry of Education/College of Resources and Environmental Sciences, China Agricultural University,Beijing 100193, P.R.China
2.Key Lab of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture/College of Agronomy,Northwest A&F University, Yangling 712100, P.R.China
3.College of Agronomy, Agricultural University of Hebei, Baoding 071001, P.R.China
4.College of Resources and Environmental Sciences, Agricultural University of Heibei, Baoding 071001, P.R.China
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摘要  Phytic acid (PA) is the main storage form of phosphorus (P) in seeds. It can form insoluble complexes with microelements, thereby reducing their bioavailability for animals. Identification of quantitative trait loci (QTLs) associated with grain PA concentration (PAC) is essential to improve this trait without affecting other aspects of grain nutrition such as protein content. Using a recombinant inbred line (RIL) population, we mapped QTL for grain PAC, as well as grain nitrogen concentration (NC) and P concentration (PC) in maize under two N conditions in 2 yr. We detected six QTLs for PAC. The QTL for PAC on chromosome 4 (phi072-umc1276) was identified under both low-N and high-N treatments, and explained 13.2 and 15.4% of the phenotypic variance, respectively. We identified three QTLs for grain NC, none of which were in the same region as the QTLs for PAC. We identified two QTLs for PC in the low-N treatment, one of which (umc1710-umc2197) was in the same interval as the QTL for PAC under high-N conditions. These results suggested that grain PAC can be improved without affecting grain NC and inorganic PC.

Abstract  Phytic acid (PA) is the main storage form of phosphorus (P) in seeds. It can form insoluble complexes with microelements, thereby reducing their bioavailability for animals. Identification of quantitative trait loci (QTLs) associated with grain PA concentration (PAC) is essential to improve this trait without affecting other aspects of grain nutrition such as protein content. Using a recombinant inbred line (RIL) population, we mapped QTL for grain PAC, as well as grain nitrogen concentration (NC) and P concentration (PC) in maize under two N conditions in 2 yr. We detected six QTLs for PAC. The QTL for PAC on chromosome 4 (phi072-umc1276) was identified under both low-N and high-N treatments, and explained 13.2 and 15.4% of the phenotypic variance, respectively. We identified three QTLs for grain NC, none of which were in the same region as the QTLs for PAC. We identified two QTLs for PC in the low-N treatment, one of which (umc1710-umc2197) was in the same interval as the QTL for PAC under high-N conditions. These results suggested that grain PAC can be improved without affecting grain NC and inorganic PC.
Keywords:  maize       nitrogen       phosphorus       phytic acid       QTL  
Received: 26 April 2012   Accepted:
Fund: 

This study was supported by the National Basic Research Program of China (2011CB100305), the National Science Foundation of China (30890131, 31172015, 31121062), the Hebei Province Key Technology R&D Program, China (12225510D), the Special Fund for Agriculture Profession, China (201103003), and the Chinese University Scientific Fund (2011JS163).

Corresponding Authors:  Correspondence MI Guo-hua, Tel: +86-10-62734454, E-mail: miguohua@cau.edu.cn; CHEN Fan-jun, Tel: +86-10-62734454, E-mail: caucfj@cau.edu.cn   

Cite this article: 

LIU Jian-chao, HUANG Ya-qun, MA Wen-qi, ZHOU Jin-feng, BIAN Fen-ru, CHEN Fan-jun , MI Guo-hua. 2013. Identification of Quantitative Trait Loci for Phytic Acid Concentration in Maize Grain Under Two Nitrogen Conditions. Journal of Integrative Agriculture, 12(5): 765-772.

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