Micronutrients are an important component of crop quality. With an objective of identification of trait-associated single nucleotide polymorphism (SNP) markers, a genome-wide association study (GWAS) panel of 135 diverse pea (Pisum sativum L.) accessions previously genotyped was assessed for Fe, Zn, and Se concentrations from five location-years (2013 Saskatoon, 2014 Fargo, 2015 Saskatoon, 2016 Saskatoon, and 2016 Rosthern) using atomic absorption spectroscopy (AAS). Accessions differed significantly for Fe and Zn in all location-years but not for Se (P ≤ .05).Year and location effects were significant for all three micronutrients. Mean concentration in the five location-years combined analysis was 50.70, 29.42, and 0.99, and the concentration (μg g −1 ) ranged from 29.22 to 90.53, 12.83 to 51.47, and 0.22 to 7.82 in the ground whole pea seeds for Fe, Zn, and Se, respectively. In general, pea grain yield was negatively correlated with Fe, Zn, and Se concentration. Of the 16,877 SNP markers used for association analysis, five each were identified for association with Fe and Zn concentrations. In silico validation identified that one Fe-associated and four Zn-associated markers were within the genomic regions of major quantitative trait loci (QTL) previously reported for these traits. Fe-associated marker Chr5LG3_204123886 and Zn-associated markers Chr5LG3_1921113554, Chr5LG3_197808492, and Sc4026_15361 identified in this study and validated using the previous GWAS and biparental mapping studies can be used for reliable markerassisted selection (MAS) in pea breeding programs.Abbreviations: AAS, atomic absorption spectroscopy; BLUP, best linear unbiased prediction; GBS, genotyping-by-sequencing; GWAS, genome-wide association study; LOD, logarithm of the odds; MAS, marker-assisted selection; QTL, quantitative trait loci; SNP, single nucleotide polymorphism .This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

A validated method for B vitamin separation and quantification using ultra-performance liquid chromatography-selected reaction monitoring mass spectrometry (UPLC-SRM MS) was reported. For B vitamin extraction from lentil seeds, the use of three enzymes (acid phosphatase, β-glucosidase, and rat serum) with a 4 h incubation was sufficient to convert bound B vitamins into their free forms. 20 B vitamers were selected and a 5-min UPLC-SRM MS method was optimized for rapid analysis. This method was applied to quantify B vitamin concentration during lentil seed germination. Total B vitamins increased up to 1.53-fold on day 5 (from 38.2 µg/g to 58.4 µg/g) comparing with dry seeds. Vitamin B5 (pantothenic acid) was the most abundant B vitamin in both dry seeds (32.7%) and in germinated seeds (16.5%-22.4% of total B vitamins), B8 (biotin) and B12 (cyanocobalamin) were not detected in lentil samples.

No abstract