Sclerotinia sclerotiorum (Lib.) de Bary, as an ubiquitous phytopathogenic Ascomycete fungus capable of infecting a wide range of plants, has increased in importance for oilseed rape production worldwide in recent year...Sclerotinia sclerotiorum (Lib.) de Bary, as an ubiquitous phytopathogenic Ascomycete fungus capable of infecting a wide range of plants, has increased in importance for oilseed rape production worldwide in recent years. The objective of this research was to determine the effectiveness of two measurements of disease rating in predicting the field reaction of cultivars to sclerotinia stem rot. One hundred and ten cultivars or lines of oilseed rape were repeatedly evaluated the disease severity index (DSI) and lesion length for their resistance to nine isolates of S. sclerotiorum in two field stations. There were greatly significant differences between two stations, among isolates, among population of cultivars for the disease severity index and lesion length, and also significant station×isolate interaction for lesion length and population×isolate interactions for DSI and lesion length, but interactions of station×isolate for DSI were not significant. Cultivars such as Pomorzanin and Lisek consistently had the lowest disease severity ratings in the field tests. However, most of cultivars were susceptible to sclerotinia stem rot in the field test. A positive correlation between the mean DSI and lesion length was found for both isolates (Sc23 and B1). The correlations ranged from 0.23 to 0.83 at various plots, with nine of the twelve correlations significant. The correlations for disease caused by different fungal isolates were statistically significant difference. These correlations ranged from -0.44 to 0.90, with nine of the thirty-two correlations significant. It indicated that resistance to some isolates was significantly correlated and selection of some varieties for resistance to one isolate appeared to improve resistance to other isolates.展开更多
This paper applied the theory and method of non linear dynamic to study the integrated environ economic system( EES ). The results of the numerical computational experiment and theoretical inductions showed that the...This paper applied the theory and method of non linear dynamic to study the integrated environ economic system( EES ). The results of the numerical computational experiment and theoretical inductions showed that the system behaviour pattern of the EES will be changed with the variation of the force power level. When the force DP become higher, the system loss its stability gradually, until the chaos occurs. Based on these results, this paper presented an explanation for the long wave economic fluctuation, and proposed in order to guarantee the sustainable development of the specific EES, the DP value of the system should be limited within a reasonable range.展开更多
针对不同环境、多性状条件下优良品种选择效率低下的问题,探讨整合环境型鉴定技术(envirotyping techniques,ET)和多性状选择对黄淮海夏玉米区试参试品种进行综合评价,以期为品种合理布局提供理论依据。本研究以2016—2017年黄淮海夏玉...针对不同环境、多性状条件下优良品种选择效率低下的问题,探讨整合环境型鉴定技术(envirotyping techniques,ET)和多性状选择对黄淮海夏玉米区试参试品种进行综合评价,以期为品种合理布局提供理论依据。本研究以2016—2017年黄淮海夏玉米组区域试验数据为材料,基于当年19个环境协变量信息采用ET将40个试点划分为不同生态区(mega-environments,ME)。采用品种-产量×性状(genotype by yield×trait,GYT)双标图技术对不同生态区(mega-environments,ME)籽粒产量与生育期、株高、穗位高、倒伏率、空秆率、穗长、秃尖、穗行数、穗粒重、百粒重、茎腐病和黑粉病等农艺性状的组合表现进行综合评价,研究GYT双标图技术在玉米区域试验多性状评价中的作用。AMMI方差分析表明,2016年被测农艺性状基因型、环境和互作效应均达到了极显著水平(P<0.01),2017年被测农艺性状除穗位高互作效应不显著外,其余性状基因型、环境和互作效应均达到了极显著水平。根据当年气象因子信息将位于8个省份的40个试点划分为4个ME,降水亏缺(dbp)、饱和水汽压差(vpd)、相对湿度(rh)和最高温度(Tmax)在5个物候期中呈现出较大的变化趋势。GYT双标图与ME结合,可以筛选出不同ME的优势品种。2016年参试品种中,衡玉321和冀丰118在划定的4个ME中均表现出丰产性突出、稳定性较好的特征,属于丰产稳产型品种。而潞玉36和潞研1502则属于参试品种中丰产性、稳定性均较差的品种。2017年参试品种中,DK56在ME2和ME4试点中产量-性状组合表现较为协调,DK205和衡玉6105分别在ME1和ME3生态区中有较好的表现。对照品种郑单958两年区域试验表现出较好的稳定性但丰产性一般。基于环境型鉴定技术划分生态区与GYT双标图相结合对参试品种的丰产性、适应性和稳定性进行评价,实现品种推广的精细定位,为黄淮海夏玉米区品种多性状综合评价提供理论基础。展开更多
[目的]本文旨在解决在自然环境下不同成熟度苹果目标检测精度较低的问题。[方法]提出了一种改进的YOLOv5s模型SODSTR-YOLOv5s(YOLOv5s with small detection layer and omni-dimensional dynamic convolution and swin transformer bloc...[目的]本文旨在解决在自然环境下不同成熟度苹果目标检测精度较低的问题。[方法]提出了一种改进的YOLOv5s模型SODSTR-YOLOv5s(YOLOv5s with small detection layer and omni-dimensional dynamic convolution and swin transformer block),用于不同成熟度苹果检测。首先改进YOLOv5s的多尺度目标检测层,在Prediction中构建检测160×160特征图的检测头,提高小尺寸的不同成熟度苹果的检测精度;其次在Backbone结构中融合Swin Transformer Block,加强同级成熟度的苹果纹理特征融合,弱化纹理特征分布差异带来的消极影响,提高模型泛化能力;最后将Neck结构的Conv模块替换为动态卷积模块ODConv,细化局部特征映射,实现局部苹果细粒度特征的充分提取。基于不同成熟度苹果数据集进行试验,验证改进模型的性能。[结果]改进模型SODSTR-YOLOv5s检测的精确率、召回率、平均精度均值分别为89.1%、95.5%、93.6%,高、中、低成熟度苹果平均精度均值分别为94.1%、93.1%、93.7%,平均检测时间为16 ms,参数量为7.34 M。相比于YOLOv5s模型,改进模型SODSTR-YOLOv5s精确率、召回率、平均精度均值分别提高了3.8%、5.0%、2.9%,参数量和平均检测时间分别增加了0.32 M和5 ms。[结论]改进模型SODSTR-YOLOv5s提升了在自然环境下对不同成熟度苹果的检测能力,能较好地满足实际采摘苹果的检测要求。展开更多
西藏当雄错盐湖是一个碱性的富锂、硼资源盐湖,对其碳酸盐沉积物的研究有助于了解盐湖形成过程中沉积环境的变化以及锂、硼资源的富集过程。为此,本文从当雄错盐湖碳酸盐剖面自上而下采集了31件样品。对这些样品开展了铀系年龄、XRD、主...西藏当雄错盐湖是一个碱性的富锂、硼资源盐湖,对其碳酸盐沉积物的研究有助于了解盐湖形成过程中沉积环境的变化以及锂、硼资源的富集过程。为此,本文从当雄错盐湖碳酸盐剖面自上而下采集了31件样品。对这些样品开展了铀系年龄、XRD、主-微量元素、碳-氧同位素测定以及介形类的鉴定分析。铀系年龄结果表明剖面沉积开始于(3788±120)a BP,结束于约2220 a BP。碳酸盐沉积的微量元素和稀土元素特征表明,其沉积水体为缺氧、还原环境下的咸水环境,沉积物形成于干旱、寒冷的气候环境,湖泊水体具有半开放-半封闭性质,但封闭程度较高。约3430 a BP时,当雄错水体盐度发生了较大改变。结合沉积物中介形类Candona gyrongensis的出现和沉积物的碳氧同位素特征,推测有地下淡水注入导致湖泊水体变淡和还原性减弱。当雄错水体的盐度在2220 a BP之前仍相对较低,湖水浓缩达到盐湖阶段的时间在2220 a BP以后。展开更多
基金The research was supported by the State Key Basic Research and Development Plan of China(2004CB 117200,2002CB111300)the Hi-Tech Research and De-velopment Program of China(2004AA21111)+1 种基金the China Scholarship Council,the Sino-Polish Scientific and Technological Cooperation 2004 2006(3 1-23B)the National Natural Science Foundation of China(30000107).
文摘Sclerotinia sclerotiorum (Lib.) de Bary, as an ubiquitous phytopathogenic Ascomycete fungus capable of infecting a wide range of plants, has increased in importance for oilseed rape production worldwide in recent years. The objective of this research was to determine the effectiveness of two measurements of disease rating in predicting the field reaction of cultivars to sclerotinia stem rot. One hundred and ten cultivars or lines of oilseed rape were repeatedly evaluated the disease severity index (DSI) and lesion length for their resistance to nine isolates of S. sclerotiorum in two field stations. There were greatly significant differences between two stations, among isolates, among population of cultivars for the disease severity index and lesion length, and also significant station×isolate interaction for lesion length and population×isolate interactions for DSI and lesion length, but interactions of station×isolate for DSI were not significant. Cultivars such as Pomorzanin and Lisek consistently had the lowest disease severity ratings in the field tests. However, most of cultivars were susceptible to sclerotinia stem rot in the field test. A positive correlation between the mean DSI and lesion length was found for both isolates (Sc23 and B1). The correlations ranged from 0.23 to 0.83 at various plots, with nine of the twelve correlations significant. The correlations for disease caused by different fungal isolates were statistically significant difference. These correlations ranged from -0.44 to 0.90, with nine of the thirty-two correlations significant. It indicated that resistance to some isolates was significantly correlated and selection of some varieties for resistance to one isolate appeared to improve resistance to other isolates.
文摘This paper applied the theory and method of non linear dynamic to study the integrated environ economic system( EES ). The results of the numerical computational experiment and theoretical inductions showed that the system behaviour pattern of the EES will be changed with the variation of the force power level. When the force DP become higher, the system loss its stability gradually, until the chaos occurs. Based on these results, this paper presented an explanation for the long wave economic fluctuation, and proposed in order to guarantee the sustainable development of the specific EES, the DP value of the system should be limited within a reasonable range.
文摘针对不同环境、多性状条件下优良品种选择效率低下的问题,探讨整合环境型鉴定技术(envirotyping techniques,ET)和多性状选择对黄淮海夏玉米区试参试品种进行综合评价,以期为品种合理布局提供理论依据。本研究以2016—2017年黄淮海夏玉米组区域试验数据为材料,基于当年19个环境协变量信息采用ET将40个试点划分为不同生态区(mega-environments,ME)。采用品种-产量×性状(genotype by yield×trait,GYT)双标图技术对不同生态区(mega-environments,ME)籽粒产量与生育期、株高、穗位高、倒伏率、空秆率、穗长、秃尖、穗行数、穗粒重、百粒重、茎腐病和黑粉病等农艺性状的组合表现进行综合评价,研究GYT双标图技术在玉米区域试验多性状评价中的作用。AMMI方差分析表明,2016年被测农艺性状基因型、环境和互作效应均达到了极显著水平(P<0.01),2017年被测农艺性状除穗位高互作效应不显著外,其余性状基因型、环境和互作效应均达到了极显著水平。根据当年气象因子信息将位于8个省份的40个试点划分为4个ME,降水亏缺(dbp)、饱和水汽压差(vpd)、相对湿度(rh)和最高温度(Tmax)在5个物候期中呈现出较大的变化趋势。GYT双标图与ME结合,可以筛选出不同ME的优势品种。2016年参试品种中,衡玉321和冀丰118在划定的4个ME中均表现出丰产性突出、稳定性较好的特征,属于丰产稳产型品种。而潞玉36和潞研1502则属于参试品种中丰产性、稳定性均较差的品种。2017年参试品种中,DK56在ME2和ME4试点中产量-性状组合表现较为协调,DK205和衡玉6105分别在ME1和ME3生态区中有较好的表现。对照品种郑单958两年区域试验表现出较好的稳定性但丰产性一般。基于环境型鉴定技术划分生态区与GYT双标图相结合对参试品种的丰产性、适应性和稳定性进行评价,实现品种推广的精细定位,为黄淮海夏玉米区品种多性状综合评价提供理论基础。
文摘[目的]本文旨在解决在自然环境下不同成熟度苹果目标检测精度较低的问题。[方法]提出了一种改进的YOLOv5s模型SODSTR-YOLOv5s(YOLOv5s with small detection layer and omni-dimensional dynamic convolution and swin transformer block),用于不同成熟度苹果检测。首先改进YOLOv5s的多尺度目标检测层,在Prediction中构建检测160×160特征图的检测头,提高小尺寸的不同成熟度苹果的检测精度;其次在Backbone结构中融合Swin Transformer Block,加强同级成熟度的苹果纹理特征融合,弱化纹理特征分布差异带来的消极影响,提高模型泛化能力;最后将Neck结构的Conv模块替换为动态卷积模块ODConv,细化局部特征映射,实现局部苹果细粒度特征的充分提取。基于不同成熟度苹果数据集进行试验,验证改进模型的性能。[结果]改进模型SODSTR-YOLOv5s检测的精确率、召回率、平均精度均值分别为89.1%、95.5%、93.6%,高、中、低成熟度苹果平均精度均值分别为94.1%、93.1%、93.7%,平均检测时间为16 ms,参数量为7.34 M。相比于YOLOv5s模型,改进模型SODSTR-YOLOv5s精确率、召回率、平均精度均值分别提高了3.8%、5.0%、2.9%,参数量和平均检测时间分别增加了0.32 M和5 ms。[结论]改进模型SODSTR-YOLOv5s提升了在自然环境下对不同成熟度苹果的检测能力,能较好地满足实际采摘苹果的检测要求。
文摘西藏当雄错盐湖是一个碱性的富锂、硼资源盐湖,对其碳酸盐沉积物的研究有助于了解盐湖形成过程中沉积环境的变化以及锂、硼资源的富集过程。为此,本文从当雄错盐湖碳酸盐剖面自上而下采集了31件样品。对这些样品开展了铀系年龄、XRD、主-微量元素、碳-氧同位素测定以及介形类的鉴定分析。铀系年龄结果表明剖面沉积开始于(3788±120)a BP,结束于约2220 a BP。碳酸盐沉积的微量元素和稀土元素特征表明,其沉积水体为缺氧、还原环境下的咸水环境,沉积物形成于干旱、寒冷的气候环境,湖泊水体具有半开放-半封闭性质,但封闭程度较高。约3430 a BP时,当雄错水体盐度发生了较大改变。结合沉积物中介形类Candona gyrongensis的出现和沉积物的碳氧同位素特征,推测有地下淡水注入导致湖泊水体变淡和还原性减弱。当雄错水体的盐度在2220 a BP之前仍相对较低,湖水浓缩达到盐湖阶段的时间在2220 a BP以后。
