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首页> 外文期刊>Functional Plant Biology >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.
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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.

机译:利用高通量表型技术鉴定高产冬小麦的保鲜期和早期衰老表型及其与籽粒产量和籽粒蛋白质浓度的关系。

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摘要

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.
机译:产量和籽粒蛋白质浓度(GPC)是全球农业小麦(Triticum aestivum L.)产量中的关键因素,主要由碳和氮代谢决定。绿叶面积的维持和衰老的发生(O sen )可能与碳和氮的积累及其向籽粒的转运有关。这项研究的目的是在50个经过认证的冬小麦品种的田间试验中确定保持绿色和早期衰老的表型,并研究O sen ,产量和GPC之间的关系。对旗叶进行颜色测量以确定20个品种的O sen ,并使用偏最小二乘回归模型基于被动光谱反射率计算其余30个品种的O sen 测量作为所有品种的高通量表型技术。使用这种方法,可以清楚地区分保持绿色和早期衰老的表型。观察到O sen 与籽粒产量之间存在显着的负相关关系(r 2 = 0.81)。相比之下,GPC与O sen 呈显着正相关(r 2 = 0.48)。总之,我们建议的表型分析方法的高通量特征应有助于改善大型田间试验中此类特征的检测,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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