Sentence examples for traits percentage from inspiring English sources

QTLs affecting grain shape (grain width, grain length, length-width ratio, circularity, area size of grain, and perimeter length of grain) and chalkiness traits (percentage of grains with chalkiness and degree of endosperm chalkiness) were mapped with the high-density GBS-SNP based markers.

Verticillium wilt (VW): Refers to traits (percentage of plants infected or disease severity rating) which allow the plant to resist infection after being inoculated with VW fungus [ 37].

Means of the traits: percentage of explants with buds (B), percentage of explants with shoots (R) and number of shoots per explant with shoots (PR) for the parent genotypes (S. pennellii and S. lycopersicum), F1, F2 and BC1. a B and R are the percentages of explants able to develop buds and shoots, respectively.

The substitution allelic effect for the named allele of each SNP, standard errors, p-values and the percentage of the additive genetic variance explained were estimated for each studied trait: percentage of normal sperm at 24 months (PNS), scrotal circumference at 12 (SC12), at 18 months (SC18) and at 24 months (SC24) (Table  4).

The DYDs for milk production traits [protein percentage (P%), protein yield (PY), milk yield (MY), fat percentage (F%) and fat yield (FY)] were available from the national genetic evaluation carried out by GENO Breeding and AI Association, and evaluated using a BLUP animal model [ 17].

Results showed that the stem cuttings pretreated with 2000 mg L−1 indole-3-butyric acid (IBA) in quick-dip method got the best rooting traits (rooting percentage is 86.7%, root number is 23.1 and root length per rooted cutting is 6.4 cm).

However, for specific traits, the percentage of AFLP markers close to genes can be rather small.

For 11 of the 16 traits, the percentage of effects in the same direction was larger than 50%.

For these traits, the percentage of genetic variance explained by the QTLs, calculated in the whole data set, varied from 10to45%5%.

Despite major successes in gene discovery, for many traits the percentage of variance explained by GWAS loci is relatively low, leaving a substantial part of the variation to be explained.

Expectedly, the actual selected optimal weights are relatively large for the traits fat percentage in cattle and rust resistance in pine, and small for the traits somatic cell score in cattle and PolyUnres in the GSA dataset (Table 3 and Table 4).