果树农艺性状基因的分子标记及其应用

总结了果树农艺性状基因标记策略和已获得的分子标记及其在果树上的应用。集团混合分离分析法(BSA)、平行芽变分析法(PSA)和已知信息捕捉法(KIH)是果树农艺性状基因标记筛选的主要方法。目前已获得了大量果树农艺性状基因的分子标记,这些标记是果树基因作图、图位克隆、分子辅助选择和种质资源鉴定等遗传研究与育种实践的有用工具。     

Hazard tree liability in the United States: Uncertain risks for owners and professionals

The liability United States (U.S.) tree owners face from hazardous trees on their private properties has and continues to undergo a transformation. The traditional common law legal test focused upon whether a tree owner had acted to create a hazardous condition on the property. The modern trend is towards a test that imposes greater responsibility and greater uncertainty on tree owners and arborists. Abandoning the natural/artificial distinction, the modern test, adopted in half the U.S. jurisdictions, imposes general principles of negligence on tree owners. This paper discusses the U.S. legal context for hazardous trees, particularly the impacts on individual tree owners. It closes by addressing various practical means to minimize the risks associated with the modern legal standards, both for susceptible tree owners, and for professionals assessing the subject property.     

危害沙棘的围连环夜蛾生物学特性及防治

围连环夜蛾在我国多有分布，但看见其幼虫的还是很少，因资料中寄主不祥，笔者经室内外观察。发现其危害多种植物的叶片，更喜欢危害沙棘树的叶片，笔者经2a的室内外观察得知。其生物学特性在辽宁西部每年1代，以蛹越夏及冬。对沙棘树危害较重，对栽植的大果沙棘危害尤为严重，在5a生的沙棘树上有100多头幼虫危害，成虫善飞翔。     

“大树进城”为何刹而不止？——兼谈加强树木采挖移植管理的政策措施

概述了“大树进城”之风形成的背景，对“大树进城”的弊端与危害进行了归纳，分析了“大树进城”之风难以遏止的原因，提出了“控两头、掐中间”、多管齐下、综合治理的基本思路和具体措施。     

层次分析法在庆阳市行道树选择中的应用

结合庆阳市立地条件与能源化工基地建设,运用层次分析法构建了庆阳市行道树综合评价体系,进行定性与定量相结合评价。评价结果表明,在庆阳市行道树的选择中以生态效益较好的法国梧桐、臭椿、银杏、国槐、桑树等为主,以常绿针叶树种侧柏、刺柏等为辅。     

日本落叶松与天然萌芽阔叶树人工混交培育效果的分析

通过对日本落叶松与天然萌生阔叶树人工混交林的调查分析,结果表明:日本落叶松与天然萌芽阔叶树人工混交培育降低了培育成本,提高了生态效益,混交林培育28a后,林分生长稳定,生产力较高;混交林中的植物种类丰富,数量较多,各层次的物种多样性指数均好于人工营造的日本落叶松与白桦针阔混交林和日本落叶松纯林;日本落叶松与天然萌生阔叶树人工混交林,对恢复森林生态原始林貌有一定促进作用。     

Effects of arrangement of surge-rootirrigation emitters on growth,yield andwater use efficiency of apple trees

Six-year old apple trees were selected for field experiment. The objective of this study was to obtain the reasonable arrangement of surge-root irrigation emitters in apple orchards. There were three factors: the buried depth H( 25,40,55 cm),the horizontal distance L( 30,40,60 cm) between the emitters and the trunk of the experimental tree,and the number of the irrigation emitters N( 1,2,4). The effect of the arrangement of surge-root irrigation emitters on the growth,yield and irrigation water use efficiency( IWUE) of apple trees were studied in Northern Shaanxi where the irrigation quota takes 60%-75% of the field water capacity. The results showed that the arrangement of emitters for surge-root irrigation had a significant effect on apple tree yield and IWUE,especially,the yield and IWUE reached 28 388. 17 kg/hm2 and 16. 83 kg/m3 in treatment T3,respectively. At the same L and N levels( T1,T2,and T3),the yield and IWUE in treatment T3 were the highest,and the yields in treatments T1 and T2 were decreased by 26.22% and 31.48%,while IWUE is reduced by14.02% and 18.12% compared with T3,respectively. At the same H and N levels( T3,T4,and T5),the yield and IWUE of apple trees were decreased with increasing L level. Especially,when L was 30 cm( T3),the yield and IWUE were the highest. The same L and H levels( T3,T6,and T7) could promote the growth of apple trees when N was 2( T3). Compared with treatment T3,it was found that the increment of new shoots was decreased by 8.07%-18.71%,and the fruit diameter was decreased by 5.41%-9.11%. Therefore,two emitters should be arranged symmetrically on both sides of an apple tree,each was buried at a 40 cm depth and 30 cm away from the trunk of the tree to effectively improve the yield and IWUE of the apple tree in mountainous areas in Northern Shaanxi.     

基于改进YOLOv7的杨梅树单木检测

为了快速检测和统计杨梅树的数量,该研究提出了一种基于改进YOLOv7的杨梅树单木检测模型：YOLOv7-ACGDmix。首先,对YOLOv7的可扩展高效长程注意力网络（extended-efficient long-range attention networks, E-ELAN）进行改进,通过融合兼具卷积和注意力机制优势的ACmix（a mixed model that enjoys the benefit of both self-attention and convolution）结构得到AC-E-ELAN模块,提升模型的学习和推理能力,引入可变形卷积（deformable convolutional networks version 2, DCNv2）结构得到DCNv2-E-ELAN模块,增强模型对不同尺寸目标的提取能力;其次,采用内容感知特征重组（content-aware reassembly of features, CARAFE）上采样模块,提高模型对重要特征的提取能力;然后,在主干和头部网络部分添加全局注意力机制（global-attention mechanism, GAM）,强化特征中的语义信息和位置信息,提高模型特征融合能力;最后,采用WIoU（wise intersection over union）损失函数减少因正负样本数据不平衡造成的干扰,增强模型的泛化性。在公开数据集上的试验结果表明,YOLOv7-ACGDmix模型的精确率达到89.1%,召回率达到89.0%,平均精度均值（mean average precision, mAP）达到95.1%,F₁-score达到89.0%,相比于原YOLOv7模型分别提高1.8、4.0、2.3和3.0个百分点。与Faster R-CNN、SSD、YOLOv8模型相比,改进模型的平均精度均值（mAP_0.5）分别提高了9.8、2.2、0.7个百分点。实地采集杨梅树样本数据的检测精确率87.3%、召回率85.7%。试验表明,改进模型为基于无人机影像的杨梅树单木检测提供了一种有效的解决方案,对果园精准管理的发展具有重要意义。     

河南省古树名木的保护意义与保护对策

阐述了保护古树名木的重要意义,通过对河南省古树名木的现状分析,提出了今后在保护古树名木方面应采取的措施。     

利用动态阈值决策树分类的华北平原冬小麦动态监测

华北平原是中国最大的粮食生产基地,准确监测其冬小麦种植面积及其变化对粮食产量预测和国家粮食安全具有重要意义。然而,不同土地利用产品所估算的小麦面积、空间分布及其动态均存在较大分歧,不能有效反映出冬小麦的长期变化特征。该研究结合作物物候特征和已有小麦专题数据产品,首先构建动态阈值决策分类算法,以降低传统方法在阈值设定和样本筛选方面的不确定性;进而分析了2003—2022年华北平原区冬小麦播种面积的长期变化规律。结果表明：1）该研究提出的动态阈值决策分类算法能准确地提取冬小麦面积,平均总体精度为93.44%,且与统计数据具有较高的一致性;2）2003—2022年华北平原冬小麦种植面积整体呈上升趋势,不同地区变化类型差异较大;3）研究时段内,持续种植冬小麦的耕地面积仅占各年份种植范围总面积的5%,种植次数低于10 a的面积占比达55%;4）河北中南部、山东省西部和河南省中北部冬小麦种植面积相对稳定,京津冀地区以及山区冬小麦播种面积变化相对频繁。该研究可为大尺度冬小麦动态监测提供了新的方法视角,并对科学制定耕地调控策略具有重要意义。