2003—2018年中国森林火灾时空分布格局研究

基于2003—2018年的中国森林火灾统计数据,全面分析了森林火灾发生的时空分布格局,定量分析了其统计学规律,旨在为森林火灾预测、管理和风险决策提供基础支撑。分析结果表明,森林火灾的发生具有极强的随机性和离散性,通过森林火灾总次数、火场面积和受害森林面积的平均数来反映森林火灾发生风险将会导致评估结果偏高。森林火灾发生次数较多的为湖南、贵州、广西等省,而森林火场面积和受害森林面积较多的为黑龙江、内蒙古、云南、湖南、广西等省。按照森林火灾发生的格局,运用K均值聚类分析将31省分为4类。     

Relationships Among the Feeding Behaviors of a Mirid Bug on Cotton Leaves of Different Ages and Plant Biochemical Substances

Apolygus lucorum (Meyer-Dür) (Hemiptera: Miridae) tends to feed on young plant tissues. To explore the relationship between stylet probing behaviors of adult A. lucorum and conditions of cotton leaves, we conducted an experiment using electropenetrography (EPG). Behaviors were recorded on four cotton varieties, in relation to thickness and biochemical traits of differently-aged leaves. Cotton leaf age had a significant effect on the probing behavior of A. lucorum but cotton variety did not. One-day-old leaves of A. lucorum received the highest mean number of stylet probes (penetrations) per insect, and longest mean durations per insect of combined stylet probing or its components, cell rupture and ingestion behaviors. All of the leaf traits (thickness and biochemical substances) were similar among these four cotton varieties. Leaf thickness had a significantly negative effect on the same four variables above. Gossypol and tannin also had a negative impact on combined probing duration. Redundancy analysis showed that the four EPG variables were closely related to nutrient substances (amino acids, sugar, and water) while they had the opposite relationship with plant defense substances (gossypol and tannin). On cotton in the seedling stages, A. lucorum fed more readily on the youngest, thinnest leaves in our no-choice EPG experiments. Nutrients and chemical resistance substances determined the probing duration of A. lucorum. Our findings can contribute to better understanding of patterns of feeding and host consumption by A. lucorum, ultimately improving cotton resistance to A. lucorum.     

绵羊羊角形态与遗传调控机制的研究进展

绵羊是较早驯化的家畜之一，可为人类提供肉、毛、奶等产品，因而在我国畜牧产业中占有重要的地位。由于各地自然环境的差异和社会需要的不同，经长期的选择形成了数百个外表特征和生理习性各具特色的绵羊品种。羊角作为绵羊品种的特征性表型，承担着双重功能，发达的羊角不仅有利于公羊个体提高其在种群内的地位，拥有优先交配权，还可以有效抵御天敌的攻击，使群体免受捕食伤害；然而，随着规模化养殖的推广，羊角的存在已不利于舍内饲养管理，进而对绵羊品种的培育工作提出了新要求。目前，羊角虽在实际生产和品种培育工作中受到广泛关注，但其形态多样性及遗传调控机制的研究尚显不足。本文根据我国现有绵羊品种，对角的数量和形态、发育过程、遗传调控机制等方面的研究进行了综述，不仅能为后期鉴别绵羊羊角多样性的突变位点和主效基因提供参考，也可为绵羊的新品种培育奠定相关的理论基础。     

独立学院“生物化学”综合性实验的开设

从综合性实验内容、综合性实验开设对人才培养目标的体现、综合性实验实施过程中的注意事项等方面阐述如何在“生物化学”课程中开设综合性实验“聚丙烯酰胺凝胶电泳分离蛋白及蛋白质含量的测定”。此实验的开设,可使学生将理论知识融会贯通,对培养学生的动手能力和创新能力有积极作用。     

10种除草剂及组合对芨芨草的防效评价

为筛选出对芨芨草具有高效防除作用的除草剂品种及组合,本研究采用茎叶喷雾法分别在芨芨草开花期和平茬(成株芨芨草离地面15 cm刈割)后第3天施药,测定了10种常用除草剂品种和6个除草剂组合对芨芨草的防除效果,获得了"花期茎叶喷施除草剂"和"平茬+喷施除草剂方式"清除芨芨草技术。1)开花期:18%草铵膦AS在有效剂量(下同)405 g/hm~2时,药后7 d见效,30 d鲜重防效达100%;41%草甘膦异丙胺盐AS剂量为922.5 g/hm~2时,药后5 d见效,30 d鲜重防效达87.18%;24%烯草酮EC剂量为216 g/hm~2时,药后15 d见效,30 d鲜重防效达77.03%;18%草铵膦AS 180 g/hm~2+10.8%高效氟吡甲禾灵EC 37.8 g/hm~2处理,药后5 d见效,30 d鲜重防效达91.30%。2)平茬后:18%草铵膦AS、41%草甘膦异丙胺盐AS均药后5 d见效,30 d鲜重防效均大于87%;30%苯唑草酮SC剂量为22.5 g/hm~2时,药后5 d见效,30 d鲜重防效达85.97%;24%烯草酮EC剂量为144 g/hm~2时,药后7 d见效,30 d鲜重防效达88.21%;15.8%精喹禾灵EC剂量135 g/hm~2时,药后7 d见效,30 d鲜重防效达85.26%;12.5%烯禾啶EC 112.5 g/hm~2+15.8%精喹禾灵EC 15.8 g/hm~2处理,药后5 d见效,30 d鲜重防效达97.97%。     

玉米脱粒破碎率关键影响因子及其最优预测模型研究

子粒破碎率高是当前中国玉米机械收获子粒的重要限制因素,解析破碎率变化原因,建立其简便预测模型是需要解决的重要问题。本文采集7个玉米品种在3个种植密度下组合的果穗,在不同子粒含水率梯度条件下开展单穗脱粒试验。种植密度在6万～9万株/hm2范围内对子粒破碎率没有影响,品种、子粒的含水率、抗侧压碎力和穿刺强度等的影响均达到统计显著水平。品种对破碎率变化的偏贡献率为12.7%,且品种的偏贡献率子粒含水率的偏贡献率抗侧压碎力的偏贡献率穿刺强度的偏贡献率,种植密度的偏贡献率接近于零。破碎率的最优预测因子是穿刺强度,预测模型:破碎率=10.25×0.990穿刺强度,满足破碎率不高于5%约束的穿刺强度值不得低于60 MPa。研究结果可为玉米破碎率预测、宜机收玉米新品种培育与鉴定、脱粒机具设计与制造提供数据支撑和技术参考。     

中国不同地区‘富士’苹果品质评价

【目的】确定‘富士’苹果核心品质指标,建立‘富士’苹果品质综合评价模型。【方法】从河北、河南、辽宁、宁夏、山东、山西、陕西、新疆等8个苹果主产省（区）68个市（县）的代表性果园采集176份‘富士’苹果样品进行品质测定,共测定单果重、带皮硬度、去皮硬度、可溶性固形物含量、可溶性糖含量、可滴定酸含量、维生素C含量、山梨醇含量、葡萄糖含量、果糖含量、蔗糖含量、甜度、固酸比、糖酸比、甜酸比等15项指标。通过主成分分析和聚类分析法确定‘富士’苹果核心品质指标,运用层次分析法确定指标权重,采用灰色关联度法建立‘富士’苹果品质综合评价模型。【结果】不同产区间‘富士’苹果品质指标存在差异性,新疆‘富士’苹果硬度、维生素C含量、可溶性固形物含量、可溶性糖含量、山梨醇含量、果糖含量、蔗糖含量、甜度值等8项品质指标均高于其他省（区）‘富士’苹果。维生素C含量、山梨醇含量、蔗糖含量和甜酸比的变异系数均大于30%,可溶性糖含量的变异系数最小（仅为9.8%）。‘富士’苹果某些品质指标间存在极显著的相关性,可滴定酸含量与固酸比、糖酸比之间相关系数分别为-0.844、-0.854,果糖和甜度值之间相关系数达0.963,固酸比与糖酸比之间相关系数为0.941。通过主成分分析和聚类分析,确定单果重（X₁）、去皮硬度（X₂）、可滴定酸含量（X₃）、固酸比（X₄）和果糖含量（X₅）为‘富士’苹果核心品质指标。通过灰色关联度法建立了‘富士’苹果品质综合评价模型Y=0.2601X₁+0.1378X₂+0.0819X₃+0.2601X₄+0.2601X₅。【结论】单果重、去皮硬度、可滴定酸含量、固酸比和果糖含量为‘富士’苹果核心品质指标,以其建立的评价模型可用于‘富士’苹果品质的综合评价。     

Comparative proteomics analysis of maize (Zea mays) leaves infected by small brown planthopper (Laodelphax striatellus)

Maize rough dwarf disease (MRDD) is a viral disease caused by brown planthopper infestation, and leads to great yield loss, especially in China. Comparative proteomics was performed using maize inbred line Zheng 58 and LN 287. MRDD pathogen was detected as rice black-streaked dwarf virus (RBSDV) by quantitative real time PCR (qRT-PCR) in Shandong Province, China. The modified trichloroacetic acid (TCA)/acetone method was used for soluble protein extraction from leaves. Two-dimensional electrophoresis (2-DE) analysis was performed on 24-cm long, pH 4–7 linear immobilized pH gradient (IPG) strips, and gels were stained with silver and coomassie brilliant blue. We identified 944 proteins expressed in RBSDV infected maize leaves by proteomics approaches. Among these, 44 protein spots that revealed a 1.5-fold difference in intensity were identified by mass spectrometry between mock-inoculated and RBSDV infected samples. Among these, 17 and 26 spots were up-regulated, and 27 and 18 spots were down-regulated in the virus infected samples of Zheng 58 and LN 287, respectively. Differential protein spots were analyzed by mass spectrometry identification, which could be divided into six categories. Furthermore, the expression of stress-related proteins was detected and confirmed by qRT-PCR. This study lays the foundation for further investigations, enabling the enhancement of MRDD resistance in maize.     

Detection of seven phytohormones in peanut tissues by ultra-highperformance liquid chromatography-triple quadrupole tandem mass spectrometry

Development of highly sensitive and reliable method for detection of phytohormones is of great significance to study plant hormones and agricultural production.In this study,an ultra-high-performance liquid chromatography-mass spectrometry/mass spectrometry method was established for separation and quantification of trans-zeatin,trans-zeatin riboside,gibberellin A_3,indol-3-acetic acid,salicylic acid,abscisic acid,and jasmonic acid(JA) without any label.The sepa ration was performed on an Agilent Explus Plus C18 column by using methanol and water as mobile phases with gradient elution.The target compounds were confirmed and quantified by mass spectrum via positive electrospray ionization for trans-zeatin,transzeatin riboside,indole-3-acetic acid,and via negative electrospray ionization for gibberellin3,salicylic acid,abscisic acid,and JA.The limits of detection ranged from 0.0127 ng L~(-1) for gibberellin A_3(GA_3) to 33.26 ng L~(-1) for JA and were lower than the currently reported values in literature.The proposed method was applied for qualitative and quantitative analyses of phytohormones in peanut gynophores and pods.The recoveries of the spiked phytohormones ranged from 80.20 to102.56%.The contents of seven endogenous hormones varied specifically in different development stages of peanuts.This study provides a highly sensitive and selective detection method for hormones and elucidates the growth and development of the gynophore and peanut fruit,which are controlled by seven endogenous hormones.     

电子鼻和电子舌单独与联合检测掺大豆蛋白或淀粉的鸡肉糜

为实现掺杂掺假鸡肉的快速、客观评价，该研究利用电子鼻和电子舌联合检测技术对掺杂鸡肉糜进行快速检测，通过对采集的数据进行主成分分析和偏最小二乘法分析，所得结果表明，采用主成分分析，电子鼻和电子舌联合检测掺大豆蛋白鸡肉糜和掺淀粉鸡肉糜的主成分总贡献率分别为99.8%和99.1%；采用偏最小二乘法分析，电子鼻和电子舌联合检测鸡肉糜中掺杂大豆蛋白含量的预测值与真实值之间的决定系数为0.992，均方根误差为2.8%；联合检测鸡肉糜中掺杂淀粉含量的预测值与真实值之间的决定系数为0.996，均方根误差为2.4%。表明电子鼻和电子舌联合检测对鸡肉糜的掺杂情况具有良好的区分和预测能力，并且是一种有效、高精度的肉类掺假检测方法。