Dehulling Efficiency

Summary
Definition
Collection Methods
Experiments
Phenotypes
Genetic Maps and QTL
Summary
127 Germplasm
127 Germplasm
508 Recorded Values
508 Recorded Values
2 Years
2 Years
2 Locations
2 Locations
1 Experiments
1 Experiments
 
Definition
Dehulling Efficiency
Dehulling Efficiency

Efficient dehulling of lentil requires genotypes with uniformly sized seeds and a plump shape, since thin seeds are inclined to incur greater damage during processing, leading to decreased dehulled yields (Erskine et al., 1991a; Wang, 2008; Shahin et al., 2012). Larger-seeded lentils tend to have a lower percentage of loss during decortication because the proportion of hull to seed mass is lower than that of small seeds (Vandenberg, 2009). Erskine et al. (1991a) found that lentil seeds with a mean seed diameter of 4 mm lost about 8.2% of their weight during dehulling compared with losses from lentil seeds 3 mm in diameter (9.8% on average).

Excert from: Subedi, M., K. E. Bett, H. Khazaei, and A. Vandenberg. 2018. Genetic Mapping of Milling Quality Traits in Lentil (Lens culinaris Medik.). Plant Genome 11:170092. doi:10.3835/plantgenome2017.10.0092

References:

  • Erskine, W.,  P.C. Williams, and H. Nakkoul. 1991a. Splitting and dehulling lentil (Lens culinaris): Effects of seed size and different pre-treatments. J. Sci. Food Agric. 57(1):77–84. doi:10.1002/jsfa.2740570109
  • N Wang. 2008. Effect of variety and crude protein content on dehulling quality and on the resulting chemical composition of red lentil (Lens culinaris). J. Sci. Food Agric. 88:885–890. doi:10.1002/jsfa.3165
  • Shahin, M.A.,  S.J. Symons, and N. Wang. 2012. Predicting dehulling efficiency of lentils based on seed size and shape characteristics measured with image analysis. Qual. Assur. Saf. Crops Foods 4:9–16. doi:10.1111/j.1757-837X.2011.00119.x
  • A Vandenberg. 2009. Postharvest processing and value addition. In: Erskine, W., and  Muehlbauer, F.J. , editors, The lentil: Botany, production and uses. CAB International, Wallingford, UK. p. 391–424.
Collection Methods
Experiments
Genetic Mapping of Milling Quality Traits in Lentil

This experiment was measured using the following method(s): Dehulling Efficiency Plant Genome 2018 (percentage).

Table 1: Site-years for Genetic Mapping of Milling Quality Traits in Lentil*
LocationYears
Saskatchewan Pulse Growers farm, Canada2014, 2013
Sutherland, Canada2014, 2013
* Only contains site years with data for this trait.
Phenotypes
Germplasm Phenotype Search 
Trait Distribution Plot 

The phenotypic data is best summarized in a trait distribution chart. To see the summary for your experiment of interest, select it from the drop-down below. If the trait was measured with multiple methods in this experiment, you will see each method displayed in it's own chart.

Select the experiment you are insterested in.
Dehulling Efficiency Plant Genome 2018 (percentage)
Figure: Comparison of observed Dehulling Efficiency (Dehulling Efficiency Plant Genome 2018) between site years for Genetic Mapping of Milling Quality Traits in Lentil.
Dehulling Efficiency was measured in percentage.Briefly, 30 g of uniformly dried seed samples were tempered overnight to 12.5% moisture and then the tempered seeds were dehulled with a grain testing mill (TM05, Satake Engineering Co., Hiroshima, Japan) fitted with a 36-mesh abrasive wheel rotating at 1100 rpm for 38 s (Wang, 2005). After dehulling, milled seed samples were passed through a series of slotted and round sieves to separate them into football and split fractions. All fractions were weighed, and the dehulling efficiency was determined via the following formula: (1-((Wwhole + Wsplit) / Wsample)) x 100 where Wwhole is the weight of undehulled whole seeds (in g), Wsplit is weight of undehulled split seeds (in g), Wsample is the weight of the seed sample. -Expert from (Subedi et al., 2018) Subedi, M., K. E. Bett, H. Khazaei, and A. Vandenberg. 2018. Genetic Mapping of Milling Quality Traits in Lentil (Lens culinaris Medik.). Plant Genome 11:170092. doi:10.3835/plantgenome2017.10.0092 Replicates were then averaged per germplasm within a single site-year. The chart shows the traditional box plot with the kernel density estimation flanking it. Thus values in a wider section of the plot represent higher probability that members of the sampled germplasm collection will show that phenotype.
Genetic Maps and QTL
The following table lists quantitative trait loci (QTL) available for the current trait.
Genetic MapTraitNamePeak PositionConfidence IntervalPeak LODAdditive Effect
There are no quantitative trait loci (QTL) asscoaited with the current trait.