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This study aimed to compare predictive performance of the linear, radial, polynomial and sigmoid kernel-based Support Vector Machine (SVM) in different scenarios of genetic architecture of a discrete trait (number of quantitative trait loci (QTL) and distribution of QTL effects) as well as heritability level.
The trait number of teats was not recorded in the Pietrain population.
Performance of response variables has been shown to depend on heritability of the trait, number of daughters per sire, number of animals genotyped, and type of statistical model applied in the simulation studies [ 12].
It is noteworthy to point out that when considered individually, neither trait (number of fruits/plant or fruit weight) showed statistically significant differences between the GM and untransformed plants (Table 2).
To gain a better insight in the genetic architecture of the trait number of teats, we performed a genome-wide association study by genotyping 936 Large White pigs using the Illumina PorcineSNP60 Beadchip.
Heritabilities were chosen so that the mean was 0.4 (A to G and M to Q), 0.3 (H) or 0.2 (I to L and S to V), with values declining with an increasing trait number.
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Among feeding behavior traits, number of meals/d and average meal length were highly correlated with total daily meal time.
Progenies 5 and 9 were considered the most promising due to their higher percentage of selected genotypes over the harvest seasons for the traits number for fruits, pulp mass and production, with 50, 47 and 28%, respectively.
Moreover, in super-early maturing maize genotypes, the significant canonical correlation among phenological versus protein-nutritional traits and among productive versus protein-nutritional indicate that the traits number of days from sowing to female flowering, number of ears, and grain yield can be used for indirect selection as indicative of protein nutritional quality in maize grains.
Phenotypic traits including anemia traits, number of ribs and limb bone length were measured at day 240 (Methods).
The composite traits, number of capitula, seed output, and SPSS were generated using the original nontransformed data to maintain the link with fitness.
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