Data used for yield, soil fertility, and fallow parameters for maize and plantain systems under current and reduced fallow scenarios are summarized in Table 1.
In fact, the data used in our analyses reflect the variable conditions of common maize cultivation in central European countries such as Germany.
BLAST analysis of switchgrass 454 sequence data using the maize CentC and rice CentO sequences resulted in a subset of potential centromere-specific repeat sequences found in the switchgrass genome that, on average, were 73% identical to maize CentC (AF078922.1).
Recently, Long et al. (2010), using chicken data, and González-Camacho et al. (2012), using maize data, showed that NN methods provided prediction accuracy comparable to that obtained using the RKHS method.
The objectives are to (i) develop a new approach to characterizing interrelations of yield (Y), evapotranspiration (ET), water use efficiency (WUE), and soil fertility using an elasticity index, and (ii) to further derive optimal-coupling domains of water and fertilizer inputs using maize data of 1997 and 1998, as an example.
Only 8% of the survey takers did not use online maize data resources.
Using extensive maize data sets, González-Camacho et al. (2012) found that RBFNN and RKHS had some similarities and seemed to be useful for predicting quantitative traits with different complex underlying gene action under varying types of interaction in different environmental conditions.
After line-specific quality control (applying the same quality control to each line separately), the maize data still contained 46,347 SNPs, which were used in the analysis.
In November 2007, MaizeGDB personnel distributed via email a request by the MGEC for all 'maize cooperators' (totaling 1241 at that time) to take a survey regarding their use of online maize data resources with emphasis on browsing the available genome sequence.
We curated a dataset of 464 "classical" maize genes supported by citations from at least three publications, mutant phenotype data, or direct requests from the maize community using data presented in MaizeGDB: The Maize Genetics and Genomics Database (http://www.maizegdb.org) [5], [6].
