Sentence examples for identifying the quantitative from inspiring English sources

To improve the stem lodging resistance in indica rice varieties, identifying the quantitative trait loci (QTLs) for these traits is necessary because resistance results from quantitative traits controlled by multiple genes.

Using the WRC, we found a large genotypic variation in grain Cd concentration (Uraguchi et al.2009) and succeeded in identifying the quantitative trait loci (QTLs) controlling Cd accumulation in rice (Abe et al.2011).2011

Identifying the quantitative trait loci (QTLs) that relate to eggshell quality is one of the most powerful strategies to illustrate the genetic mechanism underlying eggshell quality.

Today, this information can be provided by studies identifying the quantitative genetic basis of host resistance via a search for quantitative trait loci (QTL, table 1).

The objective of this survey is to identify the quantitative information that can commonly be retrieved in RA projects in order to quantitatively calculate the costs and benefits of adopting an RA in an organization.

In annual or perennial herbs, formal genetic studies can be employed to identify the quantitative trait loci (QTLs) and/or candidate genes that underlie important traits, and the segregating populations can be transplanted into natural populations to measure the strength and direction of selection.

This color coding can help user quickly identify the quantitative requirements because the quantities usually reside in leaf nodes.

Thus, our study provided a fast and cost-effective strategy to identify the quantitative locus of complex trait variation.

In recent years, rice scientists conducted a series of linkage analyses using several biparental mapping populations to identify the quantitative trait loci (QTLs) associated with tolerance to flooding during anaerobic germination.

This study aimed to identify the quantitative trait loci (QTL) associated with AfRGM pest incidence and resistance in three independent bi-parental rice populations (ITA306xBW348-1, ITand6xTOG7106 and ITA306xTOS14519), and to conduct meta QTL (mQTL) analysis to explore whether any genomic regions are conserved across different genetic backgrounds.

Here we aim to identify the quantitative cognitive contribution to responsive and adaptive control to identify possible overlap between cognitive and motor processes.