Whitened kernel surface: A fast and reliable method for assessing Fusarium severity on cereal grains by digital picture analysis     

Marine Ollier  Vincent Talle  Anne‐Laure Brisset  Zo Le Bihan  Simon Duerr  Marc Lemmens  Ellen Goudemand  Olivier Robert  Jean‐Louis Hilbert  Hermann Buerstmayr 《Plant Breeding》2019,138(1):69-81

Fusarium head blight (FHB) is a cereal disease of major importance responsible for yield losses and mycotoxin contaminations in grains. Here, we introduce a new measurement approach to quantify FHB severity on grains based on the evaluation of the whitened kernel surface (WKS) using digital image analysis. The applicability of WKS was assessed on two bread wheat and one triticale grain sample sets (265 samples). Pearson correlation coefficients between Fusarium‐damaged kernels (FDK) and WKS range from r = 0.77 to r = 0.81 and from r = 0.61 to r = 0.86 for the correlation between deoxynivalenol (DON) content and WKS. This new scoring method facilitates fast and reliable assessment of the resistance to kernel infection and shows significant correlation with mycotoxin content. WKS can be automated and does not suffer from the “human factor” inherent to visual scorings. As a low‐cost and fast approach, this method appears particularly attractive for breeding and genetic analysis of FHB resistance where typically large numbers of experimental lines need to be evaluated, and for which WKS is suggested as an alternative to visual FDK scorings.  相似文献   

利用机器视觉识别麦粒内米象发育规律与龄期   总被引：3，自引：3，他引：0  

张红涛  朱洋  谭联  张晓东  毛罕平 《农业工程学报》2020,36(2):201-208

研究麦粒内部粮虫生长规律,判断粮虫所处发育龄期,为制定合理的防治措施提供科学依据,具有重要的社会经济价值。该文提出一种基于机器视觉的麦粒内米象变态发育规律及龄期识别研究方法。试验利用Micro-CT获取侵染麦粒投影数据,应用z-FDK(z-Feldkamp-Davis-Kress)算法重建出侵染粒的二维图像,利用图像分割及形态学方法得到虫体图像。提取了虫体的8个二维特征、4个三维特征、7个不变矩特征和7个基于灰度共生矩阵的显著性纹理特征,构成26维原始特征空间。根据不同龄期虫体特征的变化,研究米象在麦粒内的变态发育规律。利用模拟退火算法(simulated annealing algorithm,SAA)优化虫体原始特征,构建了优化后的10维特征空间。运用人工蜂群算法(artificial bee colony,ABC)优化支持向量机(support vector machine,SVM)的惩罚因子和径向基核函数参数,实现对麦粒内米象所处发育龄期的自动判别。试验结果表明,米象变态发育规律与实际情况一致,且对米象龄期的识别率达到97%,可有效判别出侵染粒中米象所处发育龄期。  相似文献   

Correlation between Fusarium head blight severity and DON content in triticale as revealed by phenotypic and molecular data          下载免费PDF全文

Thomas Miedaner  Rasha Kalih  Maren S. Großmann  Hans P. Maurer 《Plant Breeding》2016,135(1):31-37

Fusarium head blight (FHB) in triticale (× Triticosecale Wittmack) results in yield losses and mycotoxin contamination, for example, by deoxynivalenol (DON). This study aimed to analyse the correlation between FHB severity and DON content in a DH population of 146 entries across environments. Additionally, Fusarium damaged kernel (FDK) rating, heading stage and plant height were recorded. Highly significant (P < 0.001) genotypic variances were found throughout, but also significant (P < 0.001) genotype–environment interaction variances occurred. Correlation between FHB severity and heading stage or plant height was low (r = 0.144 and r = ?0.153, P < 0.10). A prediction of DON content from FHB severity or FDK rating is not possible caused by low correlations (r = 0.315 and 0.572, respectively, P < 0.001). A common quantitative trait locus (QTL) for all FHB‐related traits was found on wheat chromosome 2A being of minor importance for FHB severity, but of high importance for DON content and FDK rating. Another QTL on rye chromosome 5R was more important for FHB severity. In conclusion, DON content has to be measured in triticale after selection for FHB severity to gain for healthy and mycotoxin‐reduced feed.  相似文献