Data set of enzyme fingerprinting of dietary fibre components (arabinoxylan and β-glucan) in old and modern Italian durum wheat genotypes

The data presented are related to the research article entitled “Comparison of the dietary fibre composition of old and modern durum wheat (Triticum turgidum spp. durum) genotypes” (De Santis et al., 2018) [1]. This article provides details of the structures of the major dietary fibre components, arabinoxylan and β-glucan, in semolina and wholemeal flour of old and modern Italian durum wheat genotypes grown in two seasons, determined by enzyme digestion followed by high-performance anion-exchange chromatography (enzyme fingerprinting).


How data was acquired
Laboratory analysis by High-Performance Anion-Exchange Chromatography (HP-AEC) Data format Raw, analyzed Experimental factors The structures of dietary fibre components were determined in wholemeal and semolina from old and recent Italian durum wheat genotypes grown in two field trials Experimental features Allowed the identification of relationships between fibre structure and the release dates of the genotypes Data source location

Data
The datasets provide details of the structure of dietary fibre in grains of old and modern Italian durum wheat (Triticum turgidum spp. durum) genotypes, grown in two different crop seasons [1]. Table 1 presents the grain quality traits of the genotypes grown in two seasons while Tables 2 and 3   Table 1 Grain quality traits of old and modern durum wheat genotypes grown in two crop seasons.

Table 3
Structures of dietary fibre components in wholemeal flours from old and modern Italian durum wheat genotypes, grown in two crop seasons, determined as percentages of AXOS and GOS from enzyme fingerprinting.
Genotype x x 2 x 3 x 5 xa 3 xx xa 3 a 3 xx xa 3 xa 3 xx xa 2 þ 3 xx xa 3 a 2 þ 3 xx xa 3 xa 2 þ 3 xx G3:G4 β-glucan peak are  give details of the structures of arabinoxylan and β-glucan determined by enzymatic fingerprinting of semolina and wholemeal flours. Correlations between grain quality parameters and dietary fibre content and composition are reported in Table 4.

Plant material
Grain samples from fifteen Italian durum wheat (Triticum turgidum spp. durum) genotypes, comprising four old landraces (Dauno III, old Saragolla, Russello, Timilia RB), three old cultivars (Cappelli, Table 4 Correlation matrix of the main kernel quality parameters with year of release and with the content and composition of arabinoxylan (AX) and β-glucan in semolina and wholemeal flours of old and modern durum wheat genotypes. Garigliano and Grifoni 235) and eight modern cultivars bred after 1985 were analysed. These were obtained from the same two field trial (in 2013 and 2014) as reported in [2], but separate samples of grain were analysed. Plants were grown in a randomized complete block design with three replications on a clay-loam soil at Foggia (Italy, 41°28′ N, 15°32′ E and 75 m a.s.l.), as reported previously [2]. The two crop seasons were characterized by different amounts of rainfall during the grain development stage (54 mm and 153 mm respectively in 2013 and 2014). Wholemeal and semolina flours were prepared using a Cyclotec Tecator 1093 sample mill (sieve 1 mm) and a laboratory mill (Bona, 4 cylinders, sieve 180 µm), respectively. Ash was determined by NIR using an Infratech 1241 Analyser (Foss, Hillerod, Denmark). Nitrogen was determined using the Dumas combustion method using a CNS Combustion Analyser (Leco Corp., St Paul, MN, USA) and % protein calculated as % N×5.7.

Relative viscosity
Aqueous extracts were prepared from semolina as described by [4] but with an additional centrifugation step at 10,000 × g for 10 min at room temperature before filtration. They were stored on ice prior to measurement of relative viscosity (ηrel ¼ t/t0, where t0: flow time of distilled water, 72-74 s) at 30°C using an automated viscometer (AVS 370, SI Analytics, Germany) fitted with an Ostwald capillary tube (2 ml, diameter 0.4 mm). Values are the means of two extractions with the flow time of each extract being measured five times.

Statistical analysis
Two-way analysis of variance (ANOVA) was carried out using as factors genotype and crop season. Least significant difference (LSD) was used at Pr0.05. ANOVA and correlation analyses were performed with software JMP (Version 8.0.2, SAS Institute Inc., 2009).