This review briefly summarizes the recent development in fabrication of conductive tracks with inkjet printing technology. Special emphasis will be placed on material selection and printing procedures. Troubleshooting guidelines for frequent problems in inkjet printing methods, such as material selection, ink formulation, ink-substrate interaction, and post-treatment of inks, are elucidated in this article to fabricate conductive tracks or electrodes with well-defined patterns. Related applications and unsolved challenges are also briefly reviewed in this article.

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Hybrid breeding employs heterosis, which could potentially improve the yield and quality of a crop. Genomic selection (GS) is a promising approach for the selection of quantitative traits in plant breeding. The main objectives of this study are to (i) propose a GS-based approach to identify potential parental lines and superior hybrid combinations from a breeding population, which is composed of hybrids produced by a half diallel mating design; (ii) develop a software package for users to carry out the proposed approach. An R package, designated EHPGS, was generated to facilitate the employment of the genomic best linear unbiased model considering additive plus dominance marker effects for the hybrid performance evaluation. The R package contains a Bayesian statistical algorithm for calculating genomic estimated breeding value (GEBVs), GEBV-based specific combining ability, general combining ability, mid-parent heterosis, and better-parent heterosis. Three datasets that have been published in literature, including pumpkin (Cucurbita maxima), maize (Zea mays), and wheat (Triticum aestivum L.), were analyzed to illustrate the use of EHPGS.