Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography.
Non-destructive, high-content analysis of wheat grain traits using X-ray micro computed tomography.
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DOI：
10.1186/s13007-017-0229-8
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发表时间：
2017
期刊：
影响因子：
5.1
通讯作者：
Nibau C
中科院分区：
文献类型：
--
作者：
Hughes A;Askew K;Scotson CP;Williams K;Sauze C;Corke F;Doonan JH;Nibau C
小麦是温带气候中种植最广泛的粮食和动物饲料作物之一。为了满足在不断变化的气候中预测的人口增长的需求，小麦产量需要大幅增加。穗和籽粒性状是最终产量的关键决定因素，而籽粒整齐度是一种商业上期望的性状，但它们的分析是费力的，并且常常需要破坏性的收获。目前的挑战之一是开发一种准确的，非破坏性的方法，穗和谷物性状分析能够处理大群体。在这项研究中，我们描述了一个强大的方法，从X射线显微计算机断层扫描（μCT）获得的图像中准确提取和测量穗和颗粒形态参数的发展。开发的图像分析管道自动识别μCT图像中感兴趣的植物材料，执行图像分析，并提取形态测量数据。作为一个原则的证明，这种集成的方法被用来分析穗从一个群体的小麦植物在两种不同的水分制度下经受高温。温度对穗位高和穗粒数有负效应，穗中部受影响最大。这些数据还证实，在轻度胁迫下，籽粒体积的增加与籽粒数量的减少相关。能够以非破坏性的方式快速测量植物表型对于促进我们对基因功能和环境影响的理解至关重要。我们报告了一个图像分析管道的发展，能够准确可靠地提取穗和谷物性状的作物，而不会丢失的位置信息。该方法应用于小麦穗部的分析，可方便地应用于其他重要的经济作物品种。本文的在线版本（doi：10.1186/s13007-017-0229-8）包含补充材料，可供授权用户使用。
Wheat is one of the most widely grown crop in temperate climates for food and animal feed. In order to meet the demands of the predicted population increase in an ever-changing climate, wheat production needs to dramatically increase. Spike and grain traits are critical determinants of final yield and grain uniformity a commercially desired trait, but their analysis is laborious and often requires destructive harvest. One of the current challenges is to develop an accurate, non-destructive method for spike and grain trait analysis capable of handling large populations. In this study we describe the development of a robust method for the accurate extraction and measurement of spike and grain morphometric parameters from images acquired by X-ray micro-computed tomography (μCT). The image analysis pipeline developed automatically identifies plant material of interest in μCT images, performs image analysis, and extracts morphometric data. As a proof of principle, this integrated methodology was used to analyse the spikes from a population of wheat plants subjected to high temperatures under two different water regimes. Temperature has a negative effect on spike height and grain number with the middle of the spike being the most affected region. The data also confirmed that increased grain volume was correlated with the decrease in grain number under mild stress. Being able to quickly measure plant phenotypes in a non-destructive manner is crucial to advance our understanding of gene function and the effects of the environment. We report on the development of an image analysis pipeline capable of accurately and reliably extracting spike and grain traits from crops without the loss of positional information. This methodology was applied to the analysis of wheat spikes can be readily applied to other economically important crop species. The online version of this article (doi:10.1186/s13007-017-0229-8) contains supplementary material, which is available to authorized users.
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DOI：
10.1109/tgrs.2014.2367129
发表时间：
2015-06-01
影响因子：
8.2
作者：
Gaetano, Raffaele;Masi, Giuseppe;Scarpa, Giuseppe
通讯作者：
Scarpa, Giuseppe
影响因子：
13.8
作者：
Corol, Delia I.;Ravel, Catherine;Ward, Jane L.
通讯作者：
Ward, Jane L.
DOI：
10.1111/tpj.12342
发表时间：
2013-12
期刊：
The Plant journal : for cell and molecular biology
影响因子：
--
作者：
Dorca-Fornell C;Pajor R;Lehmeier C;Pérez-Bueno M;Bauch M;Sloan J;Osborne C;Rolfe S;Sturrock C;Mooney S;Fleming A
通讯作者：
Fleming A
在时间和基因上离散的小麦对高温的敏感性。
影响因子：
5.6
作者：
Barber HM;Lukac M;Simmonds J;Semenov MA;Gooding MJ
通讯作者：
Gooding MJ
影响因子：
7.4
作者：
Mairhofer, Stefan;Zappala, Susan;Pridmore, Tony
通讯作者：
Pridmore, Tony