来自 Amblyopyrum muticum 的 4T 和 7T 基因导入以及来自 Triticum urartu 的 5Au 基因导入增加了马拉维小麦背景中谷粒的锌和铁浓度

Veronica Faith Guwela, Moses F. Maliro, Martin R. Broadley, Malcolm J. Hawkesford, James M. Bokosi, S. Grewal, Benedict Coombes, Anthony Hall, Caiyun Yang, Mike Banda, L. Wilson, Julie King
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摘要

由于膳食摄入量低,微量营养素缺乏症(MNDs),尤其是锌(Zn)和铁(Fe)缺乏症在撒哈拉以南非洲地区(SSA)仍然普遍存在。小麦是全球重要的能量来源,但栽培小麦的谷物微量营养素含量本身就很低。马拉维的三个马拉维小麦品种(Kenya nyati、Nduna 和 Kadzibonga)与 DH-348(小麦/Am. muticum)和 DH-254(小麦/T. urartu)杂交培育出马拉维小麦/Am. muticum 和马拉维小麦/T. urartu BC1F3 导入品系,并在马拉维缺锌土壤中对谷物锌和铁以及相关农艺性状进行了表型分析。98%(47 个)的 BC1F3 引种品系的锌含量高于对照 Paragon、Chinese Spring、Kadzibonga、Kenya Nyati 和 Nduna。23%(11 个)的引种品系不仅产量高,而且谷物锌含量也比 Nduna 和 Kadzibonga 高出 16-30 毫克/千克-1,比 Kenya nyati、Paragon 和 Chinese Spring 高出 11-25 毫克/千克-1。在这 23% 中,64%(7 个)的谷物铁含量也比 Nduna 和 Kenya nyati 高 8-12 毫克/公斤-1。谷物锌浓度与谷物铁呈显著正相关,而谷物锌和铁与总产量和谷物产量呈显著负相关。这项工作将有助于提高小麦的矿质营养密度,特别是针对撒哈拉以南非洲国家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The 4T and 7T introgressions from Amblyopyrum muticum and the 5Au introgression from Triticum urartu increases grain zinc and iron concentrations in Malawian wheat backgrounds
Micronutrient deficiencies (MNDs) particularly zinc (Zn) and iron (Fe) remain widespread in sub-Saharan Africa (SSA) due to low dietary intake. Wheat is an important source of energy globally, although cultivated wheat is inherently low in grain micronutrient concentrations. Malawian wheat/Am. muticum and Malawian wheat/T. urartu BC1F3 introgression lines, developed by crossing three Malawian wheat varieties (Kenya nyati, Nduna and Kadzibonga) with DH-348 (wheat/Am. muticum) and DH-254 (wheat/T. urartu), were phenotyped for grain Zn and Fe, and associated agronomic traits in Zn-deficient soils, in Malawi. 98% (47) of the BC1F3 introgression lines showed higher Zn above the checks Paragon, Chinese Spring, Kadzibonga, Kenya Nyati and Nduna. 23% (11) of the introgression lines showed a combination of high yields and an increase in grain Zn by 16-30 mg kg -1 above Nduna and Kadzibonga, and 11-25 mg kg -1 above Kenya nyati, Paragon and Chinese Spring. Among the 23%, 64% (7) also showed 8-12 mg kg -1 improvement in grain Fe compared to Nduna and Kenya nyati. Grain Zn concentrations showed a significant positive correlation with grain Fe, whilst grain Zn and Fe negatively and significantly correlated with TKW and grain yield. This work will contribute to the efforts of increasing mineral nutrient density in wheat, specifically targeting countries in the SSA.
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