An appropriate genetic similarity coefficient is particularly important for accurately estimating the genetic similarity and phylogenetic relationship between individuals and evaluating the genetic diversity of popula...An appropriate genetic similarity coefficient is particularly important for accurately estimating the genetic similarity and phylogenetic relationship between individuals and evaluating the genetic diversity of populations. In this study, five genetic similarity coefficients were compared for analysis of phylogenetic relationship among 31 hot pepper inbred lines based on SRAP. The applicability of different genetic similarity coefficient was investigated by means of SRAP data of hot pepper inbred lines. According to the experimental results, the variation ranges of Nei ＆ Li, Jaceard, Sorensen, Simple matching and Yule coefficients were 0. 598 - 0. 973, 0. 427 - 0. 947, 0. 598 - 0. 973, 0.427 - 0. 947 and 0. 133 - 0. 997, respectively. Results of cluster analysis based on different similarity coefficients varied greatly. To be specific, clustering results based on Nei ＆ Li, Jaccard and Sorensen coefficients were consistent; clustering with Simple matching and Yule coef ficients led to consistent classification of category in different order and slightly different classification of subcategory. Comprehensively comparing the results of cluster analysis and the dendrograms of hot pepper inbred lines, Yule coefficient is suitable for SRAP analysis of hot pepper.展开更多
Diversity studies are an essential step in plant breeding and understanding the genetic relationships between pepper accessions may provide an effective management tool for their conservation, as well as help inform p...Diversity studies are an essential step in plant breeding and understanding the genetic relationships between pepper accessions may provide an effective management tool for their conservation, as well as help inform plant breeding efforts. The objective of the study was to assess the diversity and structure of pepper germplasm grown in Eritrean to help inform improvement programs. Local pepper (Capsicum spp.) germplasm collected from farmers and institutions in Eritrea was assessed using 16 quantitative morphological traits. The evaluation was conducted in two sites using a Randomized Complete Block Design with three replications. The data from the two sites were subjected to Principal Component Analysis, Hierarchal clustering with Euclidean distance and Analysis of variance. Cluster analysis of the combined data grouped the 60 genotypes into five clusters and 10 sub-clusters confirming the diversity of the collection that can be useful for selection and source of desired genes. A selection index was used to identify at least four promising genotypes (HD0134, HD0031 and NRSG21 and NRSAF06) for dry consumption purposes. The results of the current study revealed the relatively high level diversity existed within the evaluated collections and partitioned them into meaningful groups.展开更多
为实现花椒簇的快速准确检测,该研究提出了一种基于改进YOLOv5s的花椒簇检测模型。首先,使用MBConv(MobileNetV3 block convolution,MBConv)模块和基于ReLU的轻量级自注意力机制优化了EfficientViT网络,用其代替YOLOv5s的主干,减少模型...为实现花椒簇的快速准确检测,该研究提出了一种基于改进YOLOv5s的花椒簇检测模型。首先,使用MBConv(MobileNetV3 block convolution,MBConv)模块和基于ReLU的轻量级自注意力机制优化了EfficientViT网络,用其代替YOLOv5s的主干,减少模型的参数量、增强模型对重要特征的表达能力。其次,在模型的训练过程中采用了OTA(optimal transport assignment)标签分配策略,优化训练中的标签分配结果。最后,使用WIoU损失函数对原损失函数CIoU进行替换,提高锚框的质量。试验结果表明,改进YOLOv5s模型的平均准确度均值(mean average precision,mAP)为97.3%、参数量为5.9 M、检测速度为131.6帧/s。相较于YOLOv5s模型,mAP提升1.9个百分点、参数量降低15.7%、检测速度提高14.5%。结果表明,该研究提出的改进YOLOv5s模型准确度高、参数量低、检测速度快,可实现对花椒簇的有效检测。展开更多
基金Supported by Natural Science Foundation of Hainan Province"Construction of Genetic Linkage Map of Dendrobium"(312024)China Spark Program"Pilotscale Trial and Demonstration of New Varieties of Tropical Flowers"(2012GA800003)Special Fund for Basic Scientific Research of Central Nonprofit Research Institutes"Study on the Cold Stress Response Mechanism and Breeding of Cold-resistant in Dendrobium phalaenopsis"(1630032014017)
文摘An appropriate genetic similarity coefficient is particularly important for accurately estimating the genetic similarity and phylogenetic relationship between individuals and evaluating the genetic diversity of populations. In this study, five genetic similarity coefficients were compared for analysis of phylogenetic relationship among 31 hot pepper inbred lines based on SRAP. The applicability of different genetic similarity coefficient was investigated by means of SRAP data of hot pepper inbred lines. According to the experimental results, the variation ranges of Nei ＆ Li, Jaceard, Sorensen, Simple matching and Yule coefficients were 0. 598 - 0. 973, 0. 427 - 0. 947, 0. 598 - 0. 973, 0.427 - 0. 947 and 0. 133 - 0. 997, respectively. Results of cluster analysis based on different similarity coefficients varied greatly. To be specific, clustering results based on Nei ＆ Li, Jaccard and Sorensen coefficients were consistent; clustering with Simple matching and Yule coef ficients led to consistent classification of category in different order and slightly different classification of subcategory. Comprehensively comparing the results of cluster analysis and the dendrograms of hot pepper inbred lines, Yule coefficient is suitable for SRAP analysis of hot pepper.
文摘Diversity studies are an essential step in plant breeding and understanding the genetic relationships between pepper accessions may provide an effective management tool for their conservation, as well as help inform plant breeding efforts. The objective of the study was to assess the diversity and structure of pepper germplasm grown in Eritrean to help inform improvement programs. Local pepper (Capsicum spp.) germplasm collected from farmers and institutions in Eritrea was assessed using 16 quantitative morphological traits. The evaluation was conducted in two sites using a Randomized Complete Block Design with three replications. The data from the two sites were subjected to Principal Component Analysis, Hierarchal clustering with Euclidean distance and Analysis of variance. Cluster analysis of the combined data grouped the 60 genotypes into five clusters and 10 sub-clusters confirming the diversity of the collection that can be useful for selection and source of desired genes. A selection index was used to identify at least four promising genotypes (HD0134, HD0031 and NRSG21 and NRSAF06) for dry consumption purposes. The results of the current study revealed the relatively high level diversity existed within the evaluated collections and partitioned them into meaningful groups.
文摘为实现花椒簇的快速准确检测,该研究提出了一种基于改进YOLOv5s的花椒簇检测模型。首先,使用MBConv(MobileNetV3 block convolution,MBConv)模块和基于ReLU的轻量级自注意力机制优化了EfficientViT网络,用其代替YOLOv5s的主干,减少模型的参数量、增强模型对重要特征的表达能力。其次,在模型的训练过程中采用了OTA(optimal transport assignment)标签分配策略,优化训练中的标签分配结果。最后,使用WIoU损失函数对原损失函数CIoU进行替换,提高锚框的质量。试验结果表明,改进YOLOv5s模型的平均准确度均值(mean average precision,mAP)为97.3%、参数量为5.9 M、检测速度为131.6帧/s。相较于YOLOv5s模型,mAP提升1.9个百分点、参数量降低15.7%、检测速度提高14.5%。结果表明,该研究提出的改进YOLOv5s模型准确度高、参数量低、检测速度快,可实现对花椒簇的有效检测。
