Sentence examples for maize lines the from inspiring English sources

Based on the average SNP polymorphism rate in maize of 36.3% [16] obtained with 154 diverse maize lines, the percentage of expected polymorphic markers that identified HF events ranged from 36.3% to 59.6%, with an average of 48.9% (Table 4).

The GLS data set is composed of 278 maize lines; the ordinal trait measured in each line was GLS [1 (no disease), 2 (low infection), 3 (moderate infection), 4 (high infection), 5 (complete infection)] caused by the fungus Cercospora zeae-maydis, evaluated in three environments (México, Zimbabwe, and Colombia).

The phenotypic data for GLS in three environments (Mexico, Zimbabwe, and Colombia) for the 278 maize lines, the 46,347 SNPs data and the R scripts developed to fit the predictive models used in this study are given in the GLScode.rar file deposited at http://repository.cimmyt.org/xmlui/handle/10883/4128.org/xmlui/handle/10883/4128

The phenotypic data for GLS in three environments (México, Zimbabwe, and Colombia) for the 278 maize lines, the 46,347 SNPs, and the R scripts developed to fit the predictive models used in this study are given in the files PhenoGLS.RData, and MarkersGLSFinal.RDat.

For the selection of high-confidence variants for the 600 k array, we applied a voting system based on (i) their performance on the screening arrays, (ii) concordance of array genotyping calls with in silico variant calls from sequencing data of the 30 maize lines in the discovery panel, and (iii) over- or under-representation of the corresponding bin.

We assessed the genetic diversity of the 240 subtropical maize lines with the aim of developing heterotic pools for Indian breeding programs.

This supports the effect of dwarf1 on natural PHT variation in a recent mapping effort taken in a separate maize panel (Teng et al. 2013), and its significance as a maize improvement gene in a recent genome scan for selection among the improved maize lines and the landraces of maize HapMapV2 (Hufford et al. 2012).

The numbering of these data is disorder and redundant ineluctably, and also the data are from several different maize lines, so the numbering system may be diverse and lineage-specific.

Our characterization of PCR products from several maize lines support the second hypothesis of two independent insertions, but the order of insertion is not clear.

The first data set consisted of 300 tropical maize lines from the International Maize and Wheat Improvement Center (CIMMYT), which were genotyped with 1148 SNP markers (Crossa et al. 2010).

Although there were only weak statistical differences in amino acid composition between the lines, explorative data analyses (RDA) indicate significant correlations between different maize lines and the concentrations of individual amino acids.