Assessing the impact of nitrogen supplementation in oats across multiple growth locations and years with targeted phenotyping and high-resolution metabolite profiling approaches.
Assessing the impact of nitrogen supplementation in oats across multiple growth locations and years with targeted phenotyping and high-resolution metabolite profiling approaches.
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通过有针对性的表型分析和高分辨率代谢物分析方法评估燕麦在多个生长地点和年份中氮补充的影响。
DOI:
10.1016/j.foodchem.2021.129585
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发表时间:
2021-09-01
期刊:
影响因子:
8.8
通讯作者:
Howarth C
中科院分区:
文献类型:
--
作者:
Allwood JW;Martinez-Martin P;Xu Y;Cowan A;Pont S;Griffiths I;Sungurtas J;Clarke S;Goodacre R;Marshall A;Stewart D;Howarth C
The response to nitrogen of 4 winter oat varieties in three field trials was analysed. A novel high-resolution method was developed to profile metabolite changes. Conditions that enhance yield do not necessarily result in higher nutritional value. Choice of variety is of equally high importance as the nitrogen levels applied. Oats (Avena sativa L.) are a healthy food, being high in dietary fibre (e.g. β-glucans), antioxidants, minerals, and vitamins. Understanding the effect of variety and crop management on nutritional quality is important. The response of four oat varieties to increased nitrogen levels was investigated across multiple locations and years with respect to yield, grain quality and metabolites (assessed via GC- and LC- MS). A novel high-resolution UHPLC-PDA-MS/MS method was developed, providing improved metabolite enrichment, resolution, and identification. The combined phenotyping approach revealed that, amino acid levels were increased by nitrogen supplementation, as were total protein and nitrogen containing lipid levels, whereas health-beneficial avenanthramides were decreased. Although nitrogen addition significantly increased grain yield and β-glucan content, supporting increasing the total nitrogen levels recommended within agricultural guidelines, oat varietal choice as well as negative impacts upon health beneficial secondary metabolites and the environmental burdens associated with nitrogen fertilisation, require further consideration.
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DOI:
10.1093/bioinformatics/btr079
发表时间:
2011-04-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Brown M;Wedge DC;Goodacre R;Kell DB;Baker PN;Kenny LC;Mamas MA;Neyses L;Dunn WB
通讯作者:
Dunn WB
影响因子:
8.8
作者:
de Bruijn, Wouter J. C.;van Dinteren, Sarah;Vincken, Jean-Paul
通讯作者:
Vincken, Jean-Paul
影响因子:
5.8
作者:
Finnan, John;Burke, Brendan;Spink, John
通讯作者:
Spink, John
影响因子:
3.1
作者:
Ma, B. L.;Zheng, Z.;Yan, W.
通讯作者:
Yan, W.
影响因子:
3.8
作者:
SAASTAMOINEN, M;PLAAMI, S;KUMPULAINEN, J
通讯作者:
KUMPULAINEN, J