利用原子吸收光谱、x射线荧光和x射线微量分析筛选牧草

S. Sabreen, S. Saiga, M. Rahman
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引用次数: 3

摘要

培育含镁量较高的冷季草是减少反刍动物草中毒的一种有希望的尝试。更快的植物矿物分析方法可以增加筛选高Mg含量(High-Mg)植物的单株数量。本研究评估了能量色散x射线微分析(EDX)和能量反射x射线光谱(XRF)在筛选高mg草基因型中的有效性。以两个已知镁含量差异的高羊茅品种HiMag(高镁品种)和Ky-31(对照品种)为材料,验证了该方法的有效性。我们认为,已知Mg浓度变化的品种可以为新方法在寻找天然高、低Mg含草基因型方面的适用性提供试验。植物样品共8株,共3年4次收获,用EDX和ERF分析了Mg、Ca和K的含量,并用原子吸收光谱法(AAS)对数据进行了验证。观察不同养分浓度的频率分布,HiMag高羊茅Mg浓度高于Ky-31, K浓度低于Ky-31。AAS与EDX估算的Mg、Ca和K之间存在正线性关系(r分别为0.88、0.62和0.89),表明AAS与EDX估算的结果非常吻合。原子吸收光谱与XRF呈线性正相关,Mg、Ca和K的r值分别为0.87、0.65和0.88。用EDX和XRF建立了张力定量,用湿化学法测定结果可靠。南盟J.农业浙江农业学报,19(2):245-256 (2021)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Screening Forage Grasses with Atomic Absorption Spectrometry, X-ray Fluorescence and X-ray Microanalysis
Breeding cool-season (C3) grasses with higher magnesium (Mg) content is a promising attempt for reducing grass tetany hazard in ruminants. Faster methods for plant mineral analyses could increase the number of individual plants screened for higher Mg content (High-Mg). This study evaluates the effectiveness of energy dispersive X-ray microanalysis (EDX) as well as energy reflectance X-ray spectrometry (XRF) for screening high-Mg grass genotypes. The approach was verified by using two tall fescue cultivars having known differences in magnesium (Mg) content, viz. HiMag (high-Mg cultivar) and Ky-31 (control cultivar). We assumed that cultivars with known variation in Mg concentrations could provide a test for the applicability of the new methodology in finding naturally occurring high and low Mg containing grass genotypes. Plants samples included a population of 8 plants consisting of four harvests for three years and were analyzed for Mg, calcium (Ca), and potassium (K) by EDX and ERF, and data were verified with atomic absorption spectrometry wet (AAS). While observing the frequency distribution for different nutrient concentrations, HiMag tall fescue showed higher Mg and lower K concentrations than that of Ky-31. There was positive linear relationship between AAS and EDX estimated Mg, Ca and K (r = 0.88, 0.62 and 0.89, respectively), indicating close agreement between AAS and EDX estimation. Also, there was a positive linear relationship between AAS and XRF, as the r values were 0.87, 0.65 and 0.88 for Mg, Ca, and K, respectively. The tetany ration was established for EDX and XRF and the results were dependable with wet chemistry. SAARC J. Agric., 19(2): 245-256 (2021)      
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