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Physiological mechanisms of yield improvement in historical U.S. soybean germplasm.

机译:美国历史大豆种质提高产量的生理机制。

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摘要

Soybean (Glycine max Merr.) is the world's most widely grown leguminous crop and an important source of protein and oil for food and feed. Soybean yields have increased substantially throughout the past century with yield gains widely attributed to genetic advances and improved cultivars, as well as advances in farming technology and practice. Although soybean yields do not appear to be stagnating, the current rate of gain is insufficient to meet the United Nations target of doubling crop yields by 2050. While soybean yields have been increased through traditional breeding efforts, the physiological mechanisms underlying past yield gains in the U.S. are largely unknown. Therefore, the aims of this thesis research are to gain a better understanding of the physiological basis of past improvements in soybean yield in order to help identify strategies for increasing future production.;First, in a two year experiment, twenty-four soybean cultivars released between 1923 and 2007 were grown in field trials. Physiological improvements in the efficiencies by which soybean canopies intercepted light ( epsiloni), converted light energy into biomass ( epsilonc), and partitioned biomass into seed ( epsilonp) were examined. Seed yield increased on average by 26.5 kg ha-1 yr-1, and the increase in seed yield was driven by improvements in all three efficiencies. Although the time to canopy closure did not change in historical soybean cultivars, extended growing seasons and decreased lodging in more modern lines drove improvements in epsiloni. Greater biomass production per unit of absorbed light resulted in improvements in epsilonc. Soybean seed biomass increased at a rate greater than total above-ground biomass, resulting in an increase in epsilonp. It is thought that there is little room for further improvements in epsilon i and epsilonp as 84 years of traditional breeding has driven these efficiencies close to theoretical maxima. epsilonc is still well below its theoretical maxima and is, therefore, a target for future yield gains.;Next, in order to investigate the potential mechanisms underlying the increase in epsilonc with cultivar year of release (YOR), photosynthetic (A) and respiratory capacity was measured within this set of historical germplasm over 3 growing seasons. Traditional soybean breeding has improved epsilonc through greater rates of A with no change in respiratory capacity. The gains in A were driven by increased rates of stomatal conductance ( gs) and water use and not improved photosynthetic capacity. Thus, greater carbon gain in modern varieties was only apparent under times of ample water supply. These results suggest that as climate change increases the water demand of crops, past strategies for increasing conversion efficiency will have reduced effectiveness.;Finally, the transcript abundance of putative "yield enhancing genes" (YEG) were determined in these historic soybean cultivars to examine potential genetic drivers of past yield advancement. YEG are single genes, that when altered, have the capacity to increase plant growth and yield. Of the fifteen YEG examined in this study, six had gene expression levels that correlated with cultivar YOR and yield in at least one growing season. Three of these genes encode Rubisco activase which is hypothesized to increase yields by increasing rates of photosynthesis. YEG also include those that encode vegetative storage proteins which are important in the storage and transfer of carbon and nitrogen to sink tissues. Future work is needed to understand the underlying mechanisms of how altered YEG transcript abundance is affecting yield and if the alteration of these genes further will lead to additional yield gains.;This dissertation research provides insight into the physiological mechanisms underlying past yield gains and identifies targets for future yield improvement. At the whole canopy level, traditional breeding efforts have increased epsiloni, epsilonc, and epsilonp, and identified that improving epsilon c has the most potential of further increasing yields. On the leaf-level, photosynthesis has been improved through greater water use, indicating that past improvements made in epsilonc may not be effective in warmer future. Finally, at the genic level, putative YEG were identified as correlating with yield in soybean, and therefore, have the potential ability to increase yields further in the future.
机译:大豆(Glycine max Merr。)是世界上种植最广泛的豆科作物,也是食品和饲料中蛋白质和油脂的重要来源。在过去的一个世纪中,大豆的单产大幅提高,单产的增长主要归因于遗传学的进步和改良品种的发展,以及农业技术和实践的进步。尽管大豆单产似乎没有停滞不前,但目前的增速不足以实现联合国到2050年将农作物单产提高一倍的目标。尽管通过传统育种努力已提高了大豆单产,但过去的单产却增加了生理机制。美国在很大程度上未知。因此,本研究的目的是为了更好地了解大豆产量以往提高的生理基础,以帮助确定增加产量的策略。首先,在为期两年的试验中,发布了二十四个大豆品种在1923年至2007年之间进行了田间试验。研究了大豆冠层截留光(epsiloni),将光能转化为生物质(epsilonc)以及将生物质分配为种子(epsilonp)的效率的生理改善。种子产量平均增加了26.5 kg ha-1 yr-1,而种子产量的增加是由所有三个效率的提高所驱动的。尽管在历史悠久的大豆品种中,关闭冠层的时间没有改变,但延长的生长季节和在更现代的系中减少倒伏推动了epsiloni的改善。单位吸收光的生物量产量更高,从而改善了辐照度。大豆种子生物量的增长速度高于地上生物量的总量,导致ε增长。人们认为,随着84年的传统育种,这些效率已接近理论最大值,因此epsilon i和epsilonp几乎没有进一步改善的空间。 epsilonc仍远低于其理论最大值,因此是未来增产的目标。接下来,为了研究潜在的机理,其与品种释放年(YOR),光合(A)和呼吸作用有关。在三个生长季节中,在这组历史种质内测量了能力。传统的大豆育种通过提高A的比率而改善呼吸能力,而呼吸能力没有变化。气孔导度(gs)和水分利用率的提高,而不是光合能力的提高,驱动了A的增加。因此,只有在充足的水供应时期,现代品种的碳增加才明显。这些结果表明,随着气候变化增加作物的需水量,过去提高转化效率的策略将降低有效性。最后,在这些历史悠久的大豆品种中确定了推定的“增产基因”(YEG)的转录本丰度过去单产提高的潜在遗传驱动力。 YEG是单基因,当其被改变时,具有增加植物生长和产量的能力。在这项研究中检查的15个YEG中,有6个的基因表达水平与至少一个生长季节中的品种YOR和产量相关。这些基因中的三个编码Rubisco活化酶,据推测可以通过提高光合作用速率来提高产量。 YEG还包括那些编码营养存储蛋白的蛋白,这些蛋白在碳和氮的存储和转移至沉没组织中很重要。需要进一步的工作来了解改变YEG转录物丰度如何影响产量的潜在机制,以及这些基因的改变是否进一步导致额外的产量增加。;本论文的研究提供了对过去产量增加背后的生理机制的洞察力,并确定了目标以便将来提高产量。在整个树冠层,传统的育种工作增加了epsiloni,epsilonc和epsilonp,并确定改善epsilon c具有进一步提高产量的最大潜力。在叶片水平上,光合作用通过增加水的使用而得到改善,这表明过去在改良上的改良可能不会在温暖的未来有效。最后,在基因水平上,推定的YEG与大豆的产量相关,因此,有可能在未来进一步提高产量。

著录项

  • 作者

    Koester, Robert Paul.;

  • 作者单位

    University of Illinois at Urbana-Champaign.;

  • 授予单位 University of Illinois at Urbana-Champaign.;
  • 学科 Botany.;Genetics.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 80 p.
  • 总页数 80
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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