The maize shoot ionome: Its interaction partners, predictive power, and genetic determinants

被引：12

作者：

Stich, Benjamin ^{[1
,2
,3
]}

Benke, Andreas ^{[3
,5
]}

Schmidt, Maria ^{[1
]}

Urbany, Claude ^{[3
,6
]}

Shi, Rongli ^{[4
]}

von Wiren, Nicolaus ^{[4
]}

机构：

[1] Heinrich Heine Univ, Inst Quantitat Genet & Genom Plants, D-40225 Dusseldorf, Germany

[2] Cluster Excellence Plant Sci, Dusseldorf, Germany

[3] Max Planck Inst Plant Breeding Res, Cologne, Germany

[4] Leibniz Inst Plant Genet & Crop Plant Res, Gatersleben, Germany

[5] Strube Res GmbH & Co KG, Hauptstr 1, D-38387 Sollingen, Germany

[6] KWS Saat SE, Grimsehlstr 31, D-37555 Einbeck, Germany

来源：

PLANT CELL AND ENVIRONMENT | 2020年 / 43卷 / 09期

关键词：

genomic prediction; ionomic prediction; iron regime; maize; physiological and morphological traits; QTL mapping; shoot ionome; QUANTITATIVE TRAIT LOCI; ARABIDOPSIS-THALIANA; MINERAL CONCENTRATIONS; NATURAL VARIATION; IRON; DEFICIENCY; PHOSPHORUS; NUTRIENT; QTL; IDENTIFICATION;

D O I：

10.1111/pce.13823

中图分类号：

Q94 [植物学];

学科分类号：

071001 ;

摘要：

An improved understanding of how to manipulate the accumulation and enrichment of mineral elements in aboveground plant tissues holds promise for future resource efficient and sustainable crop production. The objectives of this study were to (a) evaluate the influence of Fe regimes on mineral element concentrations and contents in the maize shoot as well as their correlations, (b) examine the predictive ability of physiological and morphological traits of individual genotypes of the IBM population from the concentration of mineral elements, and (c) identify genetic factors influencing the mineral element composition within and across Fe regimes. We evaluated the concentration and content of 12 mineral elements in shoots of the IBM population grown in sufficient and deficient Fe regimes and found for almost all mineral elements a significant (alpha= 0.05) genotypic variance. Across all mineral elements, the variance of genotype*Fe regime interactions was on average even more pronounced. High prediction abilities indicated that mineral elements are powerful predictors of morphological and physiological traits. Furthermore, our results suggest thatZmHMA2/3andZmMOT1are major players in the natural genetic variation of Cd and Mo concentrations and contents of maize shoots, respectively.

引用

页码：2095 / 2111

页数：17

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