• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>European Journal of Agronomy >High-throughput phenotyping early plant vigour of winter wheat.
【24h】

High-throughput phenotyping early plant vigour of winter wheat.

机译：高通量表型分析冬小麦的早期植物活力。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In contrast to high-throughput genotyping which can manage a large number of plants at relatively low cost, phenotyping of many individual genotypes in field trials is still laborious and expensive. Early plant vigour, as an early selection criterion, is a trait that is visually scored due to a lack of suitable phenotyping methods for an accurate detection of this trait in large field trials. A high-throughput phenotyping technique for scoring early plant vigour would enhance the breeding process. This study was conducted to develop a method for scoring phenotypic differences in early plant vigour of 50 winter wheat (Triticum aestivum L.) cultivars in a 2-years experiment using a vehicle based multispectral active sensor and two commercially available active sensors, GreenSeeker and CropCircle. Pixel analysis of RGB images revealed to be the most feasible and superior method compared to other possible reference methods. A comparison between the two years 2011 and 2012 confirmed that early plant vigour was affected by genotypic differences. A novel spectral plant vigour index (EPVI) was found to accurately reflect the plant vigour at tillering. Different methods were applied to identify optimal combinations of wavelengths to predict early plant vigour, including multivariate modelling and prediction, contour maps for identifying all possible simple ratios and testing of combined indices. The EPVI and the relative amount of green pixels (RAGP) derived from digital images were significantly related with r2=0.98 to each other in both years. A total of 200 plots, 12 m in length, could be measured within 75 min. The EPVI was shown to be an accurate scoring method for the high-throughput screening of large field trials. The rapidity and accuracy of this novel method may contribute to enhanced selection at early growth stages.
机译：与可以以相对较低的成本管理大量植物的高通量基因分型相比，在田间试验中许多个体基因型的表型鉴定仍然费力且昂贵。作为早期选择标准，早期植物活力是由于在大型田间试验中缺乏合适的表型鉴定方法来准确检测该性状而在视觉上进行评分的性状。一种高通量的表型技术，可以为植物的早期活力打分，可以增强育种过程。这项研究旨在开发一种方法，用于在两年的实验中使用基于车辆的多光谱有源传感器和两个市售有源传感器GreenSeeker和CropCircle对50个冬小麦（Triticum aestivum L.）品种的早期植物活力进行表型差异评分。 。与其他可能的参考方法相比，对RGB图像进行像素分析是最可行和最优越的方法。 2011年和2012年这两年之间的比较证实，早期植物活力受基因型差异的影响。发现一种新颖的光谱植物活力指数（EPVI）可准确反映分till时的植物活力。应用了多种方法来确定预测植物早期活力的最佳波长组合，包括多元建模和预测，用于识别所有可能的简单比率的等高线图以及对组合指标进行测试。在这两年中，EPVI和从数字图像得出的绿色像素的相对数量（RAGP）与r 2 = 0.98彼此显着相关。 75分钟内可以测量200幅长12 m的地块。事实证明，EPVI是用于大型现场试验的高通量筛选的准确评分方法。这种新方法的快速性和准确性可能有助于在早期生长阶段增强选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号