Universidade Federal de Viçosa, Campus Universitário, Viçosa, Brazil.
Embrapa Gado de Leite, Juiz de Fora, Brazil.
PLoS One. 2018 Sep 13;13(9):e0203818. doi: 10.1371/journal.pone.0203818. eCollection 2018.
Persistence may be defined as high sustained yield over multi-harvest. Genetic insights about persistence are essential to ensure the success of breeding programs and any biomass-based project. This paper focuses on assessing the biomass yield persistence for bioenergy purpose of 100 elephantgrass clones measured in six growth seasons in Brazil. To assess the clones' persistence, an index based on random regression models and genotype-ideotype distance was proposed. Results suggested the existence of wide genetic variability between elephantgrass clones, and that the yield trajectories along the harvests generate genetic insights into elephantgrass clones' persistence and G x E interaction. A gene pool that acts over the biomass yield (regardless of the harvest) was detected, as well as other gene pools, which show differences on genes expression (these genes are the major responsible for clones' persistence). The lower and higher clones' persistence was discussed based on genome dosage effect and natural biological nitrogen fixation ability applied to bioenergy industry. The huge potential of energy crops necessarily is associated with genetic insights into persistence, so just this way, breeding programs could breed a new cultivar that fulfills the bioenergy industries.
持续性可定义为多次收获中的高持续产量。关于持续性的遗传见解对于确保育种计划和任何基于生物质的项目的成功至关重要。本文侧重于评估在巴西六个生长季节中测量的 100 个象草克隆体的生物质产量持续性，用于生物能源目的。为了评估克隆体的持续性，提出了一种基于随机回归模型和基因型-理想型距离的指数。结果表明，象草克隆体之间存在广泛的遗传变异，并且随着收获的进行，产量轨迹提供了有关象草克隆体持续性和 G x E 相互作用的遗传见解。检测到一个在生物质产量上起作用的基因库（无论收获如何），以及其他基因库，这些基因库在基因表达上存在差异（这些基因是克隆体持续性的主要原因）。基于基因组剂量效应和应用于生物能源工业的天然生物固氮能力，讨论了低和高克隆体持续性。能源作物的巨大潜力必然与持续性的遗传见解相关，因此，只有这样，育种计划才能培育出满足生物能源产业需求的新型品种。
