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利用高通量表型技术鉴定高产冬小麦的持绿和早衰表型及其与籽粒产量和籽粒蛋白质浓度的关系。

Identification of stay-green and early senescence phenotypes in high-yielding winter wheat, and their relationship to grain yield and grain protein concentration using high-throughput phenotyping techniques.

作者信息

Kipp Sebastian, Mistele Bodo, Schmidhalter Urs

机构信息

Department of Plant Sciences, Technische Universität München, Emil Ramann-Str. 2, Freising 85350, Germany.

出版信息

Funct Plant Biol. 2014 Feb;41(3):227-235. doi: 10.1071/FP13221.

Abstract

Yield and grain protein concentration (GPC) represent crucial factors in the global agricultural wheat (Triticum aestivum L.) production and are predominantly determined via carbon and nitrogen metabolism, respectively. The maintenance of green leaf area and the onset of senescence (Osen) are expected to be involved in both C and N accumulation and their translocation into grains. The aim of this study was to identify stay-green and early senescence phenotypes in a field experiment of 50 certified winter wheat cultivars and to investigate the relationships among Osen, yield and GPC. Colour measurements on flag leaves were conducted to determine Osen for 20 cultivars and partial least square regression models were used to calculate Osen for the remaining 30 cultivars based on passive spectral reflectance measurements as a high-throughput phenotyping technique for all varieties. Using this method, stay-green and early senescence phenotypes could be clearly differentiated. A significant negative relationship between Osen and grain yield (r2=0.81) was observed. By contrast, GPC showed a significant positive relationship to Osen (r2=0.48). In conclusion, the high-throughput character of our proposed phenotyping method should help improve the detection of such traits in large field trials as well as help us reach a better understanding of the consequences of the timing of senescence on yield.

摘要

产量和籽粒蛋白质浓度(GPC)是全球小麦(Triticum aestivum L.)生产中的关键因素,分别主要由碳代谢和氮代谢决定。绿叶面积的维持和衰老起始(Osen)预计与碳和氮的积累及其向籽粒中的转运都有关。本研究的目的是在50个审定冬小麦品种的田间试验中鉴定持绿和早衰表型,并研究衰老起始、产量和籽粒蛋白质浓度之间的关系。对20个品种的旗叶进行颜色测量以确定衰老起始,对于其余30个品种,基于被动光谱反射测量,使用偏最小二乘回归模型来计算衰老起始,这是一种针对所有品种的高通量表型技术。使用这种方法,可以清楚地区分持绿和早衰表型。观察到衰老起始与籽粒产量之间存在显著的负相关(r2 = 0.81)。相比之下,籽粒蛋白质浓度与衰老起始呈显著正相关(r2 = 0.48)。总之,我们提出的表型分析方法的高通量特性应有助于在大型田间试验中更好地检测此类性状,并有助于我们更好地理解衰老时间对产量的影响。

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