四种园林植物对遮荫的生理响应及耐荫性评价

以茶梅‘小玫瑰’、冠盖藤、聚花过路黄和兰花三七4种园林植物1年生苗为试验材料,遮荫处理4个月,研究不同遮荫处理(全光照、遮荫65%、遮荫80%和遮荫95%)对植株生长及生理生化指标的影响,并用隶属函数分析法对4种植物的耐荫性进行了综合评价。结果表明:茶梅‘小玫瑰’、兰花三七在4种遮荫处理下,4个月后株高均有所增长,但冠幅表现为在遮荫65%和遮荫80%条件下,均有一定的增长,在全光照和遮荫95%条件下为先增长后减小的趋势,冠盖藤覆盖度也出现此现象,聚花过路黄在4种条件下均能生长良好。随着遮荫度增加,4种植物叶片的叶绿素a、b以及叶绿素a+b含量均为先增后减,均高于对照,叶绿素a/b值总体呈现降低趋势;可溶性蛋白质含量均有所降低;相对电导率表现为冠盖藤为先降后增,其余3种植物均为增加的趋势;MDA含量表现为兰花三七为先降后增,其余3种植物均为降低的趋势;POD活性和SOD活性表现为先增后降,除冠盖藤SOD活性表现为先降后增。隶属函数分析法综合评价4种植物的耐荫性,耐荫性顺序为兰花三七>聚花过路黄>冠盖藤>茶梅‘小玫瑰’。     

低氮胁迫对谷子苗期性状的影响和耐低氮品种的筛选

筛选和培育耐低氮能力强的作物品种,是提高作物氮素利用效率,减少氮肥施用量,降低环境污染的有效措施。本研究以45份谷子品种为试材,采用水培的方法,在低氮(0.1mmol·L~(-1))和正常氮(5mmol·L~(-1))条件下,测定苗高、根长和根数等22个氮效率相关指标,采用综合耐低氮系数法以及基于主成分分析的隶属函数法评价参试谷子品种的耐低氮性。结果表明,与正常氮条件相比,低氮胁迫下,谷子苗期根长、根冠比、地上部氮素生理效率、地下部氮素生理效率、单株氮素生理效率有不同程度提高,其余17个指标都有不同程度降低。两种评价方法均根据45个谷子品种的耐低氮能力将其划分为强耐低氮型、耐低氮型、中间型、较敏感型和敏感型5类。筛选出耐低氮性较强的品种5份,编号分别为11、14、17、35和39。利用GGE双标图对品种-耐低氮相关指标的分析表明,编号39和14的耐低氮品种主要耐低氮性状为地下部干重、地下部鲜重、根长;编号为11、35和17的耐低氮品种主要耐低氮性状为地上部鲜重、叶片数、叶宽、叶长、单株氮累积量、地上部氮累积量、单株干质量、地上部干重、地下部氮累积量、根数、苗高和SPAD。可见不同谷子品种的耐低氮机制存在一定差异,研究结果可为谷子耐低氮品种的选育提供材料基础。     

耐低氮糜子品种的筛选及农艺性状的综合评价

【目的】探明耐低氮糜子品种的评价方法,筛选耐低氮糜子基因型材料及鉴定指标,为耐低氮品种的选育和耐低氮生理机制的研究提供理论依据。【方法】采用大田试验,以来自国内外100份糜子品种为材料,在低氮胁迫（0纯氮）和正常施氮（150 kg·hm^-2纯氮）处理下,连续2年进行株高、茎粗、主茎节数、穗长、草重、单株穗重、单株粒重、千粒重、叶面积9个主要农艺性状和氮含量、氮素吸收共11个指标的测定,采用隶属函数法计算各指标耐低氮胁迫指数,通过主成分分析、回归分析与聚类分析评价各糜子品种的综合耐低氮能力。【结果】供试品种在不同氮水平条件下的株高、茎粗、主茎节数、穗长、草重、单株穗重、单株粒重、千粒重、叶面积、氮含量、氮素吸收均存在显著差异;低氮胁迫下,糜子的生长、生物量积累和氮素吸收受到抑制,各性状指标明显下降,变化范围幅度降低,各农艺指标降低幅度排序依次为叶面积>草重>单株粒重>单株穗重>茎粗>主茎节数>穗长>千粒重>株高,不同糜子品种籽粒的氮含量和氮素吸收均降低,降低幅度为氮素吸收>氮含量;低氮胁迫下,不同糜子品种的株高、茎粗、主茎节数、穗长、草重、单株穗重、单株粒重的变异系数大于正常施氮水平各指标的变异系数;不同氮水平下,不同糜子籽粒氮素吸收的变异系数高于氮含量的变异系数,且低氮胁迫的氮素吸收的变异系数高于正常施氮处理。对11个指标的耐低氮胁迫指数进行主成分分析,选择了5个主成分,累积方差贡献率达75.83%;株高、穗长、草重、单株穗重、单株粒重、单株叶面积、氮吸收量的耐低氮胁迫指数与耐低氮综合评价值（D）的相关性均达极显著水平,其中,单株穗重、单株粒重、氮吸收量的相关性较高,其相关系数分别为0.858、0.812和0.812;根据耐低氮综合评价D值,通过聚类分析将100份糜子品种划分为耐低氮型、中间型和不耐低氮型3种类型。【结论】单株穗重、草重、氮吸收量等指标作为糜子耐低氮能力评价的首选指标;榆糜3号、2058、榆黍1号、雁黍7号4个品种耐低氮能力最强。     

Simultaneous selection for seed and forage production in cocksfoot (Dactylis glomerata): application of drought tolerance and susceptibility indices

An experiment was conducted to estimate drought tolerance of some cocksfoot genotypes based on seed and forage yield and related indices (including tolerance index, mean productivity, geometric mean productivity, reduction percentage index, stress tolerance index and stress susceptibility index) and to identify relationships between measured traits. Twenty‐five genotypes were evaluated in the field under control and drought‐stress environments over 2 years. The results revealed a high variation for seed yield and forage yield and the measured indices under both moisture conditions. No correlation was observed between seed yield and forage yield under the control treatment, but this correlation was positively significant under the water‐stress treatment. Drought‐tolerant and susceptible genotypes were identified based on seed and forage yield performance. Genotypes 2, 4 and 7 had high seed yield, while genotypes 7 and 10 had high forage yield under both stressed and non‐stressed conditions and were identified as the most tolerant genotypes in each category. The results also revealed that genotypes 1, 2, 4, 6, 7, 8 and 24 had relatively high seed and forage yield in both control and drought‐stressed conditions. These genotypes can be used for further studies to improve both seed and forage yields concurrently.     

Azospirillum brasilense mitigates water stress imposed by a vascular disease by increasing xylem vessel area and stem hydraulic conductivity in tomato

Water stress, with its negative consequences on plant growth and survival, can be mitigated by Azospirillum brasilense inoculation. In tomato, A. brasilense delays wilting caused by a vascular pathogen, Clavibacter michiganensis subsp. michiganensis, by yet unknown mechanisms. We studied morphological, anatomical and physiological changes induced by A. brasilense in tomato that relate to water stress tolerance, which could explain the deferral in symptom expression. For this purpose, tomato seeds were treated or not with A. brasilense BNM65, and 5 weeks later plants were challenged with C. michiganensis subsp. michiganensis or mock inoculated with water. There was a large growth promotion associated to Azospirillum: treated plants had higher total biomass and leaf area. In relation to water stress tolerance, Azospirillum treated plants had larger xylem vessel area, higher stem specific hydraulic conductivity, thicker stems, and lower shoot/root dry matter and specific leaf area. These changes were opposite to those induced by C. michiganensis subsp. michiganensis. We conclude that A. brasilense favoured a better adjustment of plant-water relations by several mechanisms, and thus, transitorily alleviated symptoms expression of a vascular disease.     

Effects of prebiotic mannan oligosaccharide on the growth,survival, and anxiety-like behaviors of zebrafish (Danio rerio)

A study was designed to investigate the possible positive prebiotic effects of mannan oligosaccharides (MOS) on growth and reduction of anxiety behaviors in zebrafish (Danio rerio). The experimental diets were supplemented with 0, 2, 4, 6, or 8 g MOS kg^?1 and were fed to juvenile fish (0.47 ± 0.017 g) in triplicates for six weeks. Significant differences were found in the final body weight, body weight intake, percent body weight intake, and specific growth rate among treatments. The regression analyses showed that the optimum MOS level was 4–4.1 g MOS kg^?1 diet. Fish fed 4 g MOS kg^?1 feed showed higher survival than the other treatments. Also, using the novel tank test, fish fed with 4 g MOS kg^?1 diet showed lower anxiety by swimming in the upper portion of the tank. The other behavior parameters remained unaffected by the prebiotic. The results indicated the beneficial effect of the prebiotic MOS on growth and partly on welfare of zebrafish juveniles.     

盐碱复合胁迫对白茎盐生草种子萌发的影响

为了解盐碱胁迫对种子萌发的影响，本研究以白茎盐生草(Halogeton arachnoideus)为研究对象，采用室内模拟试验，以盐分种类和盐浓度为控制因素，按照NaCl ? Na2SO4 ? NaHCO3 ? Na2CO3的顺序，以A (1 ? 1 ? 0 ? 0)、B (1 ? 2 ? 1 ? 0)、C (1 ? 9 ? 9 ? 1)、D (1 ? 1 ? 1 ? 1)、E (9 ? 1 ? 1 ? 9) 5种不同比例进行混合，共5个组别，记为A－E；每个组别分为6个浓度，共30个处理，研究盐碱复合胁迫对其种子萌发的影响。结果表明：随着盐溶液浓度的升高，种子发芽率、发芽势、发芽指数均呈下降趋势；将盐溶液中未萌发的种子转移到蒸馏水中后，种子可以不同程度地恢复萌发。经过回归分析得出，A－E的耐盐阈值依次为0.26、0.24、0.23、0.25、0.16 mol·L?1，耐盐极限值分别为0.65、0.62、0.62、0.60、0.52 mol·L?1；聚类分析得出，A－E的耐盐阈值依次为0.3、0.2、0.3、0.3、0.1 mol·L?1。对回归与聚类分析结果取均值，得出白茎盐生草种子萌发在盐碱复合胁迫下的耐盐阈值为0.234 mol·L?1，耐盐极限值为0.602 mol·L?1。盐分浓度对种子萌发的影响大于盐分种类。相较于碱性盐，白茎盐生草更耐受中性盐环境。     

Effect of dietary carbohydrate levels on growth performance,non‐specific immune enzymes and acute response to low salinity and high temperature of juvenile sea cucumber Apostichopus japonicus

This study was performed to determine the optimum dietary carbohydrate (CHO) levels of sea cucumber, based on the parameters of growth, digestive enzymes, digestibility, non‐specific immune enzymes and acute low‐salinity (20 g/L) stress and high‐temperature (30°C) stress tolerance. Diets with eight different CHO (dextrin) levels (32.9, 107.6, 192.5, 257.2, 316.8, 428.0, 482.4 and 572.8 g/kg) were fed to sea cucumber juveniles (0.49 ± 0.01 g) for 60 days. Significant higher amylase activity was observed in sea cucumbers fed diet with CHO ranging between 32.9 and 192.5 g/kg than that of other treatments (p < .05). The sea cucumbers fed with 192.5 g/kg CHO showed significantly higher acid phosphatase activity than the treatments of 482.4 and 572.8 g/kg CHO (p < .05), and significantly higher alkaline phosphatase activity than other treatments (p < .05, except 257.2 g/kg). The treatments of 428.0–572.8 g/kg were found significantly lower values than other treatments in apparent digestibility coefficients for dry matter and crude protein (p < .05). The sea cucumbers fed with 192.5, 257.2 and 316.8 g/kg CHO showed better tolerance to high‐temperature (30°C) and low‐salinity (20 g/L) stress than other treatments. In brief, the optimal dietary CHO level for the growth of juvenile sea cucumber is 177.96 g/kg. However, excessive CHO will inhibit amylase enzyme activity and decrease digestibility, resulting in low growth of sea cucumber.     

Quantitative trait loci mapping for yield-related traits under low and high planting densities in maize (Zea mays)

Average maize yield per hectare has increased significantly because of the improvement in high-density tolerance, but little attention has been paid to the genetic mechanism of grain yield response to high planting density. Here, we used a population of 301 recombinant inbred lines (RILs) derived from the cross YE478 × 08–641 to detect quantitative trait loci (QTLs) for 16 yield-related traits under two planting densities (57,000 and 114,000 plants per ha) across four environments. These yield-related traits responded differently to high-density stress. A total of 110 QTLs were observed for these traits: 33 QTLs only under low planting density, 50 QTLs under high planting density and 27 QTLs across both densities. Only two major QTLs, qCD6 and qWKEL2-2, were identified across low- and high-density treatments. Seven environmentally stable QTLs were also observed containing qED6, qWKEL3, qRN3-3, qRN7-2, qRN9-2 and qRN10 across both densities, as well as qRN9-1 under low density. In addition, 16 and eight pairs of loci with epistasis interaction (EPI) were detected under low and high planting densities, respectively. Additionally, nine and 17 loci showed QTL × environment interaction (QEI) under low- and high-density conditions, respectively. These interactions are of lesser importance than the main QTL effects. We also observed 26 pleiotropic QTL clusters, and the hotspot region 3.08 concentrated nine QTLs, suggesting its great importance for maize yield. These findings suggested that multiple minor QTLs, loci with EPI and QEI, pleiotropy and the complex network of “crosstalk” among them for yield-related traits were greatly influenced by plant density, which increases our understanding of the genetic mechanism of yield-related traits for high-density tolerance.     

基于无人机LiDAR的天然林与人工林林隙提取

为研究主动遥感进行森林地物分类和林隙提取的效果,分别在天然林和人工林中比较了无人机激光雷达(Li DAR)数据的阈值法、逐像元法和面向对象法3种方法的分类精度和适用性。选取天然林(黑龙江省哈尔滨市帽儿山林场)和人工林(内蒙古自治区赤峰市旺业甸林场)两处试验区,应用阈值法、逐像元法和面向对象法3种方法,对两个试验区采集的无人机Li DAR数据进行林隙、非林隙、其他类型划分。研究结果表明,面向对象法在天然林和人工林试验区中的分类精度和Kappa系数均最高,天然林为82. 43%、0. 73,人工林为91. 74%、0. 88;逐像元法次之,天然林为76. 62%、0. 64,人工林为78. 68%、0. 68;阈值法的分类精度和Kappa系数差异较大,在天然林中的精度极低,为50. 54%、0. 27,人工林的精度较高,为79. 12%、0. 69。面向对象法和逐像元法在天然林和人工林普遍适用,均可以达到理想的分类精度和Kappa系数。阈值法在天然林的精度较低,更适合于人工林的分类,即林分高度趋于一致,且建筑、道路等其他类型干扰较少的区域。天然林的最佳分类方法为面向对象法,人工林的最佳分类方法为阈值法。