Tomato leaf mold samples collected from tomato plants cultivated in plastic house in three northeastern provinces of China were studied by artifical spray inoculation at seedling stage,consulting Hubbcling physiologic...Tomato leaf mold samples collected from tomato plants cultivated in plastic house in three northeastern provinces of China were studied by artifical spray inoculation at seedling stage,consulting Hubbcling physiological race differential hosts and adopting Day's classification system(1971).The results indicated that there were three races in these provinces;they were races 1,2,3,race 1,3 and race 3.Among them race 1,2,3 was the predominant.展开更多
To identify the inheritance pattern and perform fne mapping of ty-5 gene, P1, P2, F1, BC1 and F2 generations were obtained through a cross between CLN32120a-23 （containing ty-5 gene, P1） and S. lycopersicum Moneymak...To identify the inheritance pattern and perform fne mapping of ty-5 gene, P1, P2, F1, BC1 and F2 generations were obtained through a cross between CLN32120a-23 （containing ty-5 gene, P1） and S. lycopersicum Moneymaker （fully susceptible, P2）. The results showed that resistance of ty-5 gene was determined by a recessive effect. Meanwhile, it was presumed that another resistance gene might be involved in mediating the resistance to tomato yellow leaf curl virus （TYLCV）. In this study, fne mapping was used to map TYLCV resistance locus to an interval between NAC1 and TES2461 on the short arm of chromosome 4 with genetic distances of 0.5 and 0.8 cM, respectively. qRT-PCR results showed that four candidate genes, SlNAC1; LOC104229164; LOC101260925 and LOC101261508 having resistance-related expression patterns, were the likely target genes of ty-5. In addition, it was found that the codominant marker TES2461 could be used in marker-assisted selection （MAS） breeding. The fndings of this research provided the basis for future cloning of ty-5 gene as well as MAS breeding and plant resistance mechanism studies.展开更多
文摘Tomato leaf mold samples collected from tomato plants cultivated in plastic house in three northeastern provinces of China were studied by artifical spray inoculation at seedling stage,consulting Hubbcling physiological race differential hosts and adopting Day's classification system(1971).The results indicated that there were three races in these provinces;they were races 1,2,3,race 1,3 and race 3.Among them race 1,2,3 was the predominant.
基金Supported by the National Key Research and Development Program of China(2016YFD0101703)the Modern Agricultural Technology System of Special Funds(CARS-25-A-15)+2 种基金Breeding of New Vegetable Varieties in Heilongjiang Province(GA15B103)the National Key R&D Program of China(2017YFD0101900)the China Agriculture Research System(CARS-23-A-16)
文摘To identify the inheritance pattern and perform fne mapping of ty-5 gene, P1, P2, F1, BC1 and F2 generations were obtained through a cross between CLN32120a-23 （containing ty-5 gene, P1） and S. lycopersicum Moneymaker （fully susceptible, P2）. The results showed that resistance of ty-5 gene was determined by a recessive effect. Meanwhile, it was presumed that another resistance gene might be involved in mediating the resistance to tomato yellow leaf curl virus （TYLCV）. In this study, fne mapping was used to map TYLCV resistance locus to an interval between NAC1 and TES2461 on the short arm of chromosome 4 with genetic distances of 0.5 and 0.8 cM, respectively. qRT-PCR results showed that four candidate genes, SlNAC1; LOC104229164; LOC101260925 and LOC101261508 having resistance-related expression patterns, were the likely target genes of ty-5. In addition, it was found that the codominant marker TES2461 could be used in marker-assisted selection （MAS） breeding. The fndings of this research provided the basis for future cloning of ty-5 gene as well as MAS breeding and plant resistance mechanism studies.
文摘番茄是中国重要的经济作物之一,为解决番茄叶片病害在多类别、小目标、不同环境状况下检测精度不高的问题,研究提出ADD-YOLOv10n目标检测模型。首先对YOLOv10n主干网络进行改进,将可变核卷积(alterable kernel convolution,AKConv)融入主干网络,替换掉第二层的Conv,突破传统卷积局限于固定窗口和固定采样形状的限制。在主干末尾加入DAttention注意力机制,添加可变形注意力和动态采样点,动态选择、重点识别番茄叶片病害集中的区域。最后将最邻近上采样算子优化为DySample算子,不增加额外大量的计算量和参数,降低计算复杂度。经过对比实验,可以看到ADD-YOLOv10n模型的平均精度均值(mean average precision,mAP)达到71.8%,比YOLOv10n原模型高2.4%,准确率(precision,P)、召回率(recall,R)和F1分数分别为71.9%、68.3%和70.1%,比YOLOv10n原模型分别高2.4%、4.4%和3.5%,并且参数数量、模型大小和计算复杂度都有所下降。研究改进的ADD-YOLOv10n模型,能够更好地满足实际农业生产中对番茄叶片病害的实时精准检测,也为后续的智能浇灌、病害修复等农业自动化操作提供技术支持。
