Lactobacillus from fermented bamboo shoots prevents inflammation in DSS-induced colitis mice via modulating gut microbiome and serum metabolites

Fermented bamboo shoots(FBS)is a region-specific food widely consumed in Southwestern China,with Lactobacillus as the predominant fermenting bacteria.However,the probiotic potential of Lactobacillus derived from FBS reminds largely unexplored,especially for diseases with a low prevalence in areas consuming FBS,namely,inflammatory bowel disease.In this study,Lactiplantibacillus pentosus YQ001 and Lentilactobacillus senioris YQ005 were screening by in vitro probiotic tests to further investigate the probioticlike bioactivity in dextran sulfate sodium(DSS)-induced ulcerative colitis(UC)mouse.They exhibited more positive probiotic effects than Lactobacillus rhamnosus GG in preventing intestinal inflammatory response.The results revealed that both strains improved the abundance of deficient intestinal microbiota in UC mice,including Muribaculaceae and Akkermansia.In the serum metabolome,they modulated the DSS-disturbed levels of metabolites,with significant increment of cinnamic acid.Meanwhile,they reduced the expression levels of interleukin-1β(IL-1β),interleukin-6(IL-6)inflammatory factors and increased zonula occludens-1(ZO-1),Occludin,and cathelicidin-related antimicrobial peptide(CRAMP)in the colon.Consequently,these results demonstrated that Lactobacillus spp.isolates derived from FBS showed promising probiotic activity based on the gut microbiome homeostasis modulation,anti-inflammation and intestinal barrier protection in UC mice.

Summer Warming Limited Bud Output Drives a Decline in Daughter Shoot Biomass through Reduced Photosynthetis of Parent Shoots in Leymus chinensis Seedlings

Understanding how summer warming influences the parent and daughter shoot production in a perennial clonal grass is vital for comprehending the response of grassland productivity to global warming.Here,we conducted a simulated experiment using potted Leymus chinensis,to study the relationship between the photosynthetic activ-ity of parent shoots and the production of daughter shoots under a whole(90 days)summer warming scenario(+3°C).The results showed that the biomass of parents and buds decreased by 25.52%and 33.45%,respectively,under warming conditions.The reduction in parent shoot biomass due to warming directly resulted from decreased leaf area(18.03%),chlorophyll a(18.27%),chlorophyll b(29.21%)content,as well as a reduction in net photosynthetic rate(7.32%)and the maximum quantum efficiency of photosystem II(PSII)photochemistry(4.29%).The decline in daughter shoot biomass was linked to a decrease in daughter shoot number(33.33%)by warming.However,the number of belowground buds increased by 46.43%.The results indicated that long-term summer warming reduces biomass accumulation in parent shoot by increasing both limitation of stoma and non-stoma.Consequently,the parent shoot allocates relatively more biomass to the belowground organs to maintain the survival and growth of buds.Overall,buds,as a potential aboveground population,could remedy for the cur-rent loss of parent shoot density by increasing the number of future daughter shoots if summer warming subsides.

Multi-Scale Mixed Attention Tea Shoot Instance Segmentation Model

Tea leaf picking is a crucial stage in tea production that directly influences the quality and value of the tea.Traditional tea-picking machines may compromise the quality of the tea leaves.High-quality teas are often handpicked and need more delicate operations in intelligent picking machines.Compared with traditional image processing techniques,deep learning models have stronger feature extraction capabilities,and better generalization and are more suitable for practical tea shoot harvesting.However,current research mostly focuses on shoot detection and cannot directly accomplish end-to-end shoot segmentation tasks.We propose a tea shoot instance segmentation model based on multi-scale mixed attention(Mask2FusionNet)using a dataset from the tea garden in Hangzhou.We further analyzed the characteristics of the tea shoot dataset,where the proportion of small to medium-sized targets is 89.9%.Our algorithm is compared with several mainstream object segmentation algorithms,and the results demonstrate that our model achieves an accuracy of 82%in recognizing the tea shoots,showing a better performance compared to other models.Through ablation experiments,we found that ResNet50,PointRend strategy,and the Feature Pyramid Network(FPN)architecture can improve performance by 1.6%,1.4%,and 2.4%,respectively.These experiments demonstrated that our proposed multi-scale and point selection strategy optimizes the feature extraction capability for overlapping small targets.The results indicate that the proposed Mask2FusionNet model can perform the shoot segmentation in unstructured environments,realizing the individual distinction of tea shoots,and complete extraction of the shoot edge contours with a segmentation accuracy of 82.0%.The research results can provide algorithmic support for the segmentation and intelligent harvesting of premium tea shoots at different scales.

Study of Potential Edaphic Chemical Factors in the Prevalence of Swollen Shoot Disease of Cocoa in the Marahoué Region (Côte d’Ivoire)

This study looks at the prevalence of swollen shoot disease in cocoa plantations in the Marahoué region of Côte d’Ivoire, a key cocoa-producing area. Cocoa accounts for around a third of the country’s export earnings, but production is under threat from the swollen shoot virus, which is causing major yield reductions. The aim of the study is to establish a link between the chemical properties of the soil and the presence of the disease, in particular the levels of carbon, nitrogen, phosphorus, calcium and acidity (pH) in the soil. Specifically, soils from healthy plots were compared with soils from infested plots in six plantations in the Bouaflé and Kononfla sub-prefectures. The results show that soils from infested plots have lower phosphorus levels and near-neutral acidity in the 20 - 40 cm soil layer, while soils from healthy plots are slightly acidic and contain more calcium and phosphorus. These chemical differences seem to influence the prevalence of the virus. Low phosphorus levels appear to be a key factor in the vulnerability of cocoa trees to the disease. The study therefore suggests that any strategy to combat swollen shoot should include better soil management, incorporating factors such as soil depth and the availability of essential nutrients. In addition, an assessment of the micro-organisms present in the soil could provide further information on the interactions between the soil and the disease.

Visual navigation in orchard based on multiple images at different shooting angles

The orchards usually have rough terrain,dense tree canopy and weeds.It is hard to use GNSS for autonomous navigation in orchard due to signal occlusion,multipath effect,and radio frequency interference.To achieve autonomous navigation in orchard,a visual navigation method based on multiple images at different shooting angles is proposed in this paper.A dynamic image capturing device is designed for camera installation and multiple images can be shot at different angles.Firstly,the obtained orchard images are classified into sky and soil detection stage.Each image is transformed to HSV space and initially segmented into sky,canopy and soil regions by median filtering and morphological processing.Secondly,the sky and soil regions are extracted by the maximum connected region algorithm,and the region edges are detected and filtered by the Canny operator.Thirdly,the navigation line in the current frame is extracted by fitting the region coordinate points.Then the dynamic weighted filtering algorithm is used to extract the navigation line for the soil and sky detection stage,respectively,and the navigation line for the sky detection stage is mirrored to the soil region.Finally,the Kalman filter algorithm is used to fuse and extract the final navigation path.The test results on 200 images show that the accuracy of visual navigation path fitting is 95.5%,and single frame image processing costs 60 ms,which meets the real-time and robustness requirements of navigation.The visual navigation experiments in Camellia oleifera orchard show that when the driving speed is 0.6 m/s,the maximum tracking offset of visual navigation in weed-free and weedy environments is 0.14 m and 0.24 m,respectively,and the RMSE is 30 mm and 55 mm,respectively.

Core clock component MtLUX controls shoot architecture through repression of MtTB1/MtTCP1A in Medicago truncatula

Plants are capable of regulating their shoot architecture in response to diverse internal and external environments.The circadian clock is an adaptive mechanism that integrates information from internal and ambient conditions to help plants cope with recurring environmental fluctuations.Despite the current understanding of plant circadian clock and genetic framework underlying plant shoot architecture,the intricate connection between these two adaptive mechanisms remains largely unclear.In this study,we elucidated how the core clock gene LUX ARRHYTHMO(LUX)regulates shoot architecture in the model legume plant Medicago truncatula.We show that mtlux mutant displays increased main stem height,reduced lateral shoot length,and decreased the number of lateral branches and biomass yield.Gene expression analysis revealed that Mt LUX regulated shoot architecture by repressing the expression of strigolactone receptor MtD14 and MtTB1/MtTCP1A,a TCP gene that functions centrally in modulating shoot architecture.In vivo and in vitro experiments showed that Mt LUX directly binds to a cis-element in the promoter of MtTB1/MtTCP1A,suggesting that Mt LUX regulates branching by rhythmically suppressing MtTB1/MtTCP1A.This work demonstrates the regulatory effect of the circadian clock on shoot architecture,offering a new understanding underlying the genetic basis towards the flexibility of plant shoot architecture.

A two-parameter multiple shooting method and its application to the natural vibrations of non-prismatic multi-segment beams

This paper presents an enhanced version of the standard shooting method that enables problems with two unknown parameters to be solved.A novel approach is applied to the analysis of the natural vibrations of Euler-Bernoulli beams.The proposed algorithm,named as two-parameter multiple shooting method,is a new powerful numerical tool for calculating the natural frequencies and modes of multi-segment prismatic and non-prismatic beams with different boundary conditions.The impact of the axial force and additional point masses is also taken into account.Due to the fact that the method is based directly on the fourth-order ordinary differential equation,the structures do not have to be divided into many small elements to obtain an accurate enough solution,even though the geometry is very complex.To verify the proposed method,three different examples are considered,i.e.,a three-segment non-prismatic beam,a prismatic column subject to non-uniformly distributed compressive loads,and a two-segment beam with an additional point mass.Numerical analyses are carried out with the software MATHEMATICA.The results are compared with the solutions computed by the commercial finite element program SOFiSTiK.Good agreement is achieved,which confirms the correctness and high effectiveness of the formulated algorithm.

Efficient Decomposition Shooting Method for Solving Third-Order Boundary Value Problems

The present paper proposes a mathematical method to numerically treat a class of third-order linear Boundary Value Problems (BVPs). This method is based on the combination of the Adomian Decomposition Method (ADM) and, the modified shooting method. A complete derivation of the proposed method has been provided, in addition to its numerical implementation and, validation via the utilization of the Runge-Kutta method and, other existing methods. The method has been applied to diverse test problems and turned out to perform remarkably. Lastly, the simulated numerical results have been graphically illustrated and, also supported by some absolute error comparison tables.

不同时期放梢和不同生长阶段喷施多效唑对福建地区爱文杧果成花着果的影响

调查了福建地区爱文杧果在9月上旬至11月下旬3个月内不同时期放梢对结果枝成花着果的影响,分析了结果枝的矿质营养状况,研究了在嫩梢期、转绿期、老熟期3个不同生长阶段喷施不同浓度多效唑(PP333)控、放梢效果及其对成花着果的影响。结果表明:爱文杧果结果枝适宜放梢期范围较大,除当年气候条件能直接影响爱文杧果成花和着果外,结果枝的长度、粗度、叶片数和叶片矿质营养状况也是影响成花和着果的重要因素,在正常年份爱文杧果放梢期最好在9月下旬,这个时期放梢结果枝最长,叶片N元素含量最高,现穗率达100%,平均单枝挂果数最多。多效唑处理时间早、浓度低有利于杧果提早开花,而处理的时间迟、浓度高则比对照延迟开花。在嫩梢期多效唑低质量浓度处理效果优于高质量浓度处理;老熟期则相反,多效唑低质量浓度处理效果低于高质量浓度处理。

苹果砧木新品种鲁砧1号离体叶片高效不定植株再生

【目的】建立苹果半矮化砧木新品种鲁砧1号离体叶片高效不定梢再生技术体系,为该砧木快繁和遗传改良奠定技术基础。【方法】以鲁砧1号无菌苗离体叶片为外植体,研究碳源、细胞分裂素种类和质量浓度对叶片不定梢再生的影响;以不定梢为试材,研究基本培养基、蔗糖质量浓度对不定梢生根的影响。【结果】MS添加较低质量浓度(0.6 mg·L^(-1))细胞分裂素(TDZ)时,碳源物质为D-山梨醇的叶片不定梢再生率显著高于蔗糖;其他激素处理下,D-山梨醇和蔗糖之间叶片不定梢再生率无显著差异。两种碳源上的平均每叶不定芽(梢)数,都表现较高细胞分裂素质量浓度处理高于或显著高于较低细胞分裂素质量浓度处理,以TDZ质量浓度为1 mg·L^(-1)时产生的不定芽数最多,平均每叶不定芽数为3.8~4个。在不定芽诱导培养基上,6-苄基氨基嘌呤(BA)比TDZ更容易诱导产生直接伸长生长的不定梢。不定梢生根率和平均每株生根条数,两种基本培养基及两个蔗糖质量浓度之间都表现差异不显著,但以1/4MS基本培养基和20 g·L^(-1)蔗糖组合的生根培养基上获得的生根率和单株生根条数最高,分别超过93%和5.8。【结论】鲁砧1号离体叶片容易诱导再生不定芽和不定梢生根,诱导叶片不定芽再生最佳培养基为MS添加1 mg·L^(-1)TDZ、0.3 mg·L^(-1)IBA和30 g·L^(-1)蔗糖,最佳生根培养基为1/4MS添加0.3~0.5 mg·L^(-1)IBA和20 g·L^(-1)蔗糖。

广西笋用竹种质资源及其利用调查

调查了广西的笋用竹种质资源及其利用现状,结果显示,广西适宜笋用的竹种有6属41种(包括变种或品种)。其中,夏季出笋的竹种有3属24种,以大型丛生竹——麻竹种植面积较大,甜龙竹发展潜力大;冬、春季出笋的竹种有2属14种,以大型散生竹——毛竹种植面积最大,但以材用林为主,笋产量较低,刚竹属、大节竹属的其它笋用竹种有零星种植;秋季出笋的竹种有寒竹属1属3种,其笋亦称为“重阳笋”,利用较少。在笋用竹种中人工种植面积在6.67 hm^(2)以上的有麻竹、勃氏甜龙竹、绿竹、毛竹和雷竹5种。调查中还发现了一些新的笋用竹种,竹笋品质佳,但种群量少,处于濒危状态。广西发展笋用竹应重视多种竹种的利用,既要发展麻竹笋用林,也要发展甜龙竹、毛竹及寒竹属竹种等的笋用林,构建全年供笋格局;加大广西本土优良笋用竹种及濒危笋用竹种的培育与利用,选育笋用竹良种,并加快推广种植。

高水平气手枪运动员射击技术特点分析及应用

目的:探究影响高水平射击运动员10米气手枪成绩的关键技术因素,为备战2024年巴黎奥运会、2025年粤港澳全运会期间的技术训练提供数据支撑。方法:以10名一级及以上运动员为研究对象。在备战2023年全国射击锦标赛期间,通过SCATT射击训练系统,共采集2640发实弹射击过程的技术指标。采用主成分分析、多元回归和方差分析等方法对数据进行统计分析。结果:气手枪的专项技术可归纳为据枪稳定及击发清洁度、瞄准精度和击发前意识3个主要成分,累积贡献率63.08%,其中瞄准精度是影响成绩的主要因素。目前的高水平技术训练重视稳定性基础训练和击发技术,但未进行专门的瞄准训练,对成绩的提高还不够全面。结论:高水平气手枪训练的重点除关注击发技术外,还要重视瞄准训练。

模糊数学综合评价结合响应面法优化竹笋汁饮品发酵工艺

该研究以清水竹笋罐头生产过程中产生的清水为原料,以发酵乳杆菌(Lactobacillus fermentium)与红茶菌为菌种复合发酵制备竹笋汁饮品。利用单因素试验、模糊数学综合评价结合响应面法对其发酵工艺进行优化,并对其理化指标、微生物指标及抗氧化性进行检测分析。结果表明,竹笋汁饮品的最佳发酵工艺为:红茶菌添加量6%、发酵温度25℃、发酵时间2.5 d。在此优化条件下,竹笋汁饮品的色泽均匀,呈浅黄色的基底液,其感官评分为85.24分,固形物含量为6.13 g/L,pH为3.38,总糖含量为0.16 g/L,总酸含量为41.33 g/L,总酚含量为7.74 mg/L,总黄酮含量为0.066 mg/m L;益生菌活菌数为3.5×107CFU/g,大肠菌群、沙门氏菌及霉菌未检出,说明其理化指标及微生物指标均符合T/CASME 435—2023《益生菌发酵植物饮料》。竹笋汁饮品对1,1-二苯基-2-苦基肼(DPPH)自由基清除率为64.03%,羟自由基(·OH)清除率为46.62%,说明其具有一定的抗氧化能力。

基于改进YOLOv8n的茶叶嫩稍检测方法

针对名优茶智能采摘中茶叶嫩梢识别精度不足的问题,该研究对YOLOv8n模型进行优化。首先,在主干网络中引入动态蛇形卷积(dynamic snake convolution,DSConv),增强模型对茶叶嫩梢形状信息的捕捉能力;其次,将颈部的路径聚合网络(path aggregation network,PANet)替换为加权双向特征金字塔网络(bi-directional feature pyramid network,BiFPN),强化模型的特征融合效能;最后,在颈部网络的每个C2F模块后增设了无参注意力模块(simple attention module,SimAM),提升模型对茶叶嫩梢的识别关注度。试验结果表明,改进后的模型比原始模型的精确率(precision,P)、召回率(recall,R)、平均精确率均值(mean average precision,m AP)、F1得分(F1 score,F1)分别提升了4.2、2.9、3.7和3.3个百分点,推理速度为42帧/s,模型大小为6.7 MB,满足低算力移动设备的部署条件。与Faster-RCNN、YOLOv5n、YOLOv7n和YOLOv8n目标检测算法相比,该研究提出的改进模型精确率分别高出57.4、4.4、4.7和4.2个百分点,召回率分别高出53.0、3.6、2.8和2.9个百分点,平均精确率均值分别高出58.9、5.0、4.6和3.7个百分点,F1得分分别高出了56.8、3.9、3.7和3.3个百分点,在茶叶嫩梢检测任务中展现出了更高的精确度和更低的漏检率,能够为名优茶的智能采摘提供算法参考。

面向夹持采收的油菜薹夹段茎秆离散元参数标定与优化

为提高离散元法对指导油菜薹有序采收装备设计与优化的准确性和可靠性,该研究以双行垄作移栽的“农大1号”双低甘蓝型油菜机械化适收期油菜薹夹段茎秆为对象,测定其本征参数、表面接触参数以及破碎力学参数,利用EDEM仿真软件Hertz-Mindlin无滑移模型和Hertz-Mindlin with bonding粘结模型建立夹段茎秆堆积仿真标定模型和破碎仿真标定模型。采用逐步调整仿真参数使仿真试验值与物理试验值逼近的方法,利用夹段茎秆堆积仿真标定模型,以休止角仿真试验值与实际物理试验值的相对误差为目标,完成夹段茎秆表面接触参数的标定与优化;利用破碎仿真标定模型,以轴向压缩和弯曲仿真试验与实际物理试验的最大轴向压缩力和最大弯曲力的相对误差为目标,利用标定后的表面接触参数完成夹段茎秆粘结参数的标定与优化。最后,利用夹段茎秆的径向压缩与剪切、内芯与表皮拉伸的破碎仿真力学试验和有序采收EDEM-Recurdyn耦合仿真试验验证标定后的表面接触参数和粘结参数。结果表明,仿真与实测试验的破碎力学参数相对误差在5%以内,且仿真与实测的“时间-载荷”曲线变化趋势一致,低速、中速和高速档的有序采收仿真试验结果与实际物理试验结果相对误差在7.0%以内。研究结果表明,采用离散元仿真方法研究油菜薹采收过程具有可行性,标定结果可用于指导油菜薹机械化生产。

桃枝枯病病原菌鉴定及品种(种质)室内抗病性评价

【目的】明确桃枝枯病的病原菌以及不同桃品种(种质)对枝枯病的抗性。【方法】观察桃枝枯病田间症状。通过组织分离法对病样进行分离培养,观察分离物的形态特征,通过扩增测序其ITS、EF-1α和TUB基因序列进行分子鉴定,并对分离物进行致病性验证。选取优势病原菌种类,采用离体有伤接种枝条的方法测定37个桃品种(种质)对其的抗性,并根据病斑长度利用系统聚类方法对不同桃品种(种质)对枝枯病的抗性进行分级和评价。【结果】通过组织分离和纯化,获得54株分离物,经形态学观察和多基因系统发育分析结果显示,这些分离物有3个种,其中:35株为桃拟茎点霉(Diaporthe amygdali),5株为甜樱间座壳(Diaporthe eres),14株为葡萄座腔菌(Botryosphaer dothidea)。致病性测定试验表明,对接种后发病的病斑再分离鉴定,均能得到与原病原菌一致的菌株。抗性测定结果表明,根据病斑长度利用聚类分析将37个桃品种(种质)分为4类,类型Ⅰ有5个、类型Ⅱ有11个、类型Ⅲ有15个、类型IV有6个。抗性评价结果表明:供试品种(种质)中,免疫3个(光核桃、红花山桃和帚形山桃),占8.10%;抗病2个(白根甘肃桃和红根甘肃桃),占5.40%;中抗11个,占29.73%;感病15个,占40.54%;高感6个,占16.22%。【结论】无锡桃枝枯病的病原菌有3种分别为:D.amygdali、D.eres和B.dothidea,其中D.amygdali为优势种,分离频率为64.81%,不同桃品种(种质)对桃拟茎点霉菌的抗性不同,筛选到2个免疫品种(种质)、3个抗性品种(种质)。

苦竹笋发酵工艺条件优化及成品挥发性成分分析

为开发一款品质优良的方便型发酵苦竹笋产品,研究发酵方式和发酵工艺条件对发酵苦竹笋品质的影响,以苦竹笋为主要原料,以产品的总酸含量、VC含量、亚硝酸盐含量和感官评分为评价指标,确定苦竹笋的发酵方式,采用单因素与正交试验相结合的方法筛选苦竹笋的最优发酵工艺条件,利用顶空固相微萃取-气相色谱-质谱分析发酵苦竹笋成品的挥发性成分。结果表明,接种乳酸菌发酵为最佳发酵方式;最优发酵工艺条件为蔗糖添加量2%、食盐添加量5%、乳酸菌粉接种量0.10%,发酵时间6 d;成品中检测出25种挥发性成分,包括醇类5种、酯类7种、烯烃类7种、醚类1种、酸类1种、酮类1种、其他3种,相对含量依次为48.13%、33.69%、11.99%、4.16%、0.22%、0.19%、1.62%。该条件下制作的发酵苦竹笋产品色泽好、风味佳、质地脆嫩。

“粉玉1号”草莓茎尖组织培养体系及其脱毒效果研究

“粉玉1号”是通过杂交育种方式选育的早熟抗病粉果草莓新品种。从大棚栽培的“粉玉1号”草莓植株上取匍匐茎芽为试料,通过外植体消毒、茎尖剥取、不定芽诱导和生根培养建立了“粉玉1号”茎尖组织培养脱毒技术体系,对茎尖培养苗和大棚栽培植株进行了草莓皱缩病毒(SCV)、草莓斑驳病毒(SMoV)、草莓轻型黄边病毒(SMYEV)和草莓镶脉病毒(SVBV)PCR检测。结果表明,“粉玉1号”草莓外植体灭菌方法为75%乙醇处理30 s,再用0.1%升汞溶液处理10 min;匍匐茎芽一般需剥去1片嫩叶和7片幼叶才能剥出茎尖;茎尖初代培养基宜采用MS+0.5 mg/L 6-BA,继代培养基宜采用MS+0.1 mg/L 6-BA,生根培养基宜采用不加植物生长调节剂的1/2 MS。大棚栽培植株样品存在SVBV感染,通过茎尖组培脱除了该病毒,SCV、SMoV和SMYEV在所有样品中均未检出。建立的茎尖脱毒技术体系可为“粉玉1号”草莓工厂化育苗提供参考。

竹笋采挖下克隆整合对毛竹林发笋成竹规律的影响

【目的】为研发毛竹林高产高效生态经营技术提供一定参考。【方法】调查浙西南地区采挖毛竹林竹笋后的笋-幼竹生长过程,通过存活曲线分析毛竹林挖笋后的发笋成竹规律,探讨挖笋对竹笋中单宁、粗脂肪、粗蛋白等品质指标的影响。【结果】竹笋采挖提高了毛竹林地的发笋能力,挖笋样地的发笋数比未挖笋样地增加了12.8%(P<0.05),而挖笋后选留竹笋的存活率也显著高于未挖笋样地;与未挖笋样地相比,挖笋样地内毛竹新分株的平均胸径并未发生显著改变(P>0.05),挖笋不会降低新分株胸径而使林分衰退;竹笋间的非对称性竞争有利于竹笋地径的径级为Ⅰ-Ⅲ级竹笋的生长与存活,随着地径的提高竹笋死亡率显著降低,而径级Ⅳ级以上竹笋则有着较高的死亡率。盛笋早期以后,径级相对较小(Ⅳ级以上)的竹笋开始大量萌发,这类竹笋若不及时采挖,大部分会出现退笋,造成资源浪费;挖笋和未挖笋样地竹笋的含水率、蛋白质和粗脂肪含量在各笋期均未见显著差异(P>0.05),尽管挖笋样地竹笋的单宁含量在末笋期显著高于未挖笋样地,但两种样地其他笋期单宁含量均未见显著差异。【结论】毛竹林竹笋的采挖,可缓解竹笋间的非对称性的资源竞争,有效避免大量退笋导致的毛竹母株营养消耗,实现母株资源的克隆整合,增加竹笋产量。因此,合理的竹笋采挖有利于毛竹笋用林的高效生产及可持续性经营。

杜梨组培快繁及组培苗微扦插技术研究

以种子来源的4个杜梨株系组培苗为试材,采用植物组织培养和组培苗微扦插的方法,研究了不同浓度细胞分裂素6-BA和IBA处理对杜梨丛生芽增殖的影响以及不同浓度IBA和生长素(NAA)处理对杜梨组培苗离体生根和微扦插生根的影响,以期为稳定高效杜梨组培快繁体系的建立提供参考依据。结果表明:基因型和6-BA浓度对杜梨增殖系数具有极显著影响,IBA浓度对增殖系数具有显著影响;低浓度的生长素更适合用于杜梨组培苗的生根诱导。综合考虑组培苗增殖和生根情况,DL30株系表现最优,其适宜的增殖培养基为MS+1.0 mg·L^(-1)6-BA+0.2 mg·L^(-1)IBA,增殖系数为3.4±0.35,适宜的生根培养基为1/2MS+0.2 mg·L^(-1)IBA,生根率达60.0%±20.0%。IBA和NAA蘸根处理对杜梨组培苗微扦插生根有显著影响,杜梨株系DL30组培苗通过1000 mg·L^(-1)的IBA蘸根处理后微扦插生根率为46.7%±8.8%。