Research on Leaf Anatomical Structure of Psammosilene tunicoides Populations under Water-limited Conditions

[Objective] This study aimed to investigate the leaf anatomical structures of P. tunicoides populations under water-limited conditions. [Method] 2-year-old seedlings of herbaceous perennial P. tunicoides that was introduced into the experi- mental field were selected as the research objects. Under the well-watered and wa- ter-limited conditions, we conducted the comparative observation of leaf anatomical structure and stomatal characteristics of two populations by using paraffin slice method and imprinting method. [Result] The result showed that the upper cuticle of P. tunicoides leaves were thickened, the palisade tissue/spongy tissue ratio, vascular bundle diameter and number of xylem vessels in main vein had increased, the stomatal opening became smaller and the stomatal density had increased in winter- spring drought period under water-limited conditions. The plasticity of above traits could be regarded as the important indicators for detecting the responses of P. tunicoides populations to water-limited conditions. Meanwhile, variation amplitudes of these indicators were different among populations. Leaf anatomical structure and stomatal characteristics in Lijiang Axi population under water-limited conditions varied significantly, which might cause the stronger adaptability of this population to drought conditions. [Conclusion] This research provided a reference for the selection of drought-resistant P. tunicoides germplasm and exploration of the adaptive differentia- tion of P. tunicoides populations under natural drought conditions.

Artificial Neural Network to Predict Leaf Population Chlorophyll Content from Cotton Plant Images

Leaf population chlorophyll content in a population of crops, if obtained in a timely manner, served as a key indicator for growth management and diseases diagnosis. In this paper, a three-layer multilayer perceptron （MLP） artificial neural network （ANN） based prediction system was presented for predicting the leaf population chlorophyll content from the cotton plant images. As the training of this prediction system relied heavily on how well those leaf green pixels were separated from background noises in cotton plant images, a global thresholding algorithm and an omnidirectional scan noise filtering coupled with the hue histogram statistic method were designed for leaf green pixel extraction. With the obtained leaf green pixels, the system training was carried out by applying a back propagation algorithm. The proposed system was tested to predict the chlorophyll content from the cotton plant images. The results using the proposed system were in sound agreement with those obtained by the destructive method. The average prediction relative error for the chlorophyll density （μg cm^-2） in the 17 testing images was 8.41%.

Effects of Irrigation Schedules on Photosynthetic Carbon Assimilation of Winter Wheat (Triticum aestivum L.) in North China Plain:from Leaf to Population

A field experiment was conducted to elucidate the regulation mechanism of different irrigation schedules on population photosynthetic of winter wheat. The experiment included five irrigation schedules, such as no irrigation （W0）, irrigation once at jointing （W1j） or at booting （W1b）, irrigation twice at jointing and booting （W2）, and irrigation three times at jointing, booting and grain-filling （W3） and three planting densities, such as 180 （D1）, 300 （D2） and 450 （D3） seedlings per square meter. The results indicated that irrigation significantly improved population photosynthesis. The relationship between population photosynthesis and irrigation time/volume was to some extent parabolic. Improvements in population photosynthesis （resulting from more irrigation time/volume） were mainly related to increase in leaf area index and population light interception. Population photosynthesis exhibited a significantly negative correlation with canopy light transmittance. Population photosynthesis at grain filling stage was significantly positively correlated with dry matter accumulation at post-anthesis and grain yield. Main effects and partial correlation analysis showed that population photosynthesis of W0, W1j, W1b and W3 were regulated by canopy light transmittance and leaf area. On the other hand, population photosynthesis of W2 was mainly influenced by flag leaf photosynthetic rate. On this basis, planting 300 seedlings per square meter was the optimum combination. The combination of W2D2 increased population photosynthesis during mid-late growth stages and extended high population photosynthesis duration, which ultimately increased grain yield.

The Relationship of the Population Density of Larvae Spodoptera litura with the Leaf Damage and Decrease of Seed Yield for Soybean,Indonesia

This study aimed to illuminate the relationship of population density of larvae on the level of leaf damage and declining seed yields in some varieties of soybeans that have been implemented in Maros Experimental Garden from April to August,2016.The experiment consisted of four population densities,i.e.,0,2,4 and 6 larvae instar-3 per plant and three soybean varieties,i.e.,Anjasmoro,Argomulyo and Grobogan.The experiment was conducted in split plot design with varieties as main plot and population densities of larvae as subplot treatment with five replications.The results showed that the damage attack highest for Anjasmoro from 20.19%to 28.61%,Argomulyo from 14.68%to 21.18%and Grobogan from 13.28%to 18.00%.So the seed yields,the highest for Argomulyo 14.50 g/plant and lowest was for Grobogan 12.55 g/plant.The relation between population density of larvae and leaf damage intensity of Spodoptera litura in three days after investation(DAI)follows an equation,Anjasmoro,Y=8.587x and r=0.9583,Argomulyo,Y=6.251x and r=0.9558,and Grobogan,Y=5.45x and r=0.9459.The relationship between larval density population and the level of leaf damage in 6 DAI follows a regression equation,Anjasmoro,Y=8.174x and r=0.96107,Argomulyo,Y=6.392x and r=0.9609,and Grobogan,Y=5.977x and r=0.9626.The relationship between larvae population density and the level of leaf damage in 9 DAI follows a regression equation,Anjasmoro,Y=5.8879x and r=0.9358,Argomulyo,Y=4.3671x and r=0.954685,and Grobogan,Y=3.917x and r=0.9467.The declining seed yield caused by addition one larvae of S.litura,the highest on Anjasmoro variety(0.80 g/plant or 6.04%)and the lowest on Argomulyo(0.65 g/plant or 4.48%).

Dynamic Variation and Simulation of Extinction Coefficient of Corn Population

[Objective] The aim was to study the dynamic variation of extinction coefficient of corn population, so as to improve the accuracy of assessment on net primary productivity （NPP） or yield. [Method] Based on the data of photosynthetic active radiation and leaf area index during corn growing season （from May to September） in 2006, observed in Jinzhou observation station of corn farmland ecosystem, China Meteorological Administration, the dynamic variation of extinction coefficient of corn population was analyzed. [Result] There was a great daily variation in the extinction coefficient of corn population during growing season, and the maximum value appeared from 7：00 to 9：00 and from 15：00 to 17：00, while the minimum could be found around 12：00, but the amplitude of variation decreased in tasseling stage. On a large time scale （5 d）, there was a parabolic relationship between extinction coefficient （K） and leaf area index （LAI）, with determination coefficient R2 of 0.960 7. The simulation equation of extinction coefficient, based on the sun elevation angle or leaf area index, had poor accuracy at various time during growing season, so a new dynamic model of extinction coefficient was established, namely K=λ（0.784 8-0.001 6θ）（0.154 8LAI2-0.558 6LAI＋0.654）. [Conclusion] The effect of sun elevation angle and leaf area index on extinction coefficient during corn growing season was considered in the new dynamic model of extinction coefficient, and its simulated result was superior to that of single-factor model.

Variation in Seed Germination and Seedling Growth in Five Populations of <i>Vitellaria paradoxa</i>C.F. Gaertn. Subsp. <i>Nilotica</i>in Uganda

We studied seed germination and seedling growth performance in an economically and socially important fruit tree species Vitellaria paradoxa C.F. Gaertn. subsp. nilotica (shea tree) in Uganda. The study aimed at determining variations in germination among five shea tree seed provenances and seedling growth performance based on five growth traits (total height, root collar diameter, leaf length, leaf width and leaf petiole length). Five populations were considered from four agroecological zones comprising of 180 candidate “plus” trees. The seed trees consisted of 16 ethnovarieties selected based on their traits for fast growth and high oil yield. A total of 1,204 biological seeds were collected and sown in a tree nursery at Ngetta Zonal Agricultural Research and Development Institute during the month of June 2018 in a randomized incomplete block design with three replications. Significant variation (χ = 708;p < 0.01) was observed in seedling phenotypic traits within and between populations. Regression equation for height growth and leaf size index were given as y = 0.3787 + 12.671x and y = 0.6483 + 15.413x respectively. Root collar diameter was more correlated to leaf size index (0.425) than to height growth (0.30). Clustering of shea tree seedlings based on phenotypic growth traits revealed one aggregated cluster indicating that most of the seedlings from the five populations were similar (Jaccard index 0.92, p < 0.01). However, clustering based on SNP markers revealed three different populations. We recorded higher growth (χ = 708;p < 0.001) in Arua shea population. Red seeded;thin pulped and hairy fruited shea tree ethnovarieties recorded faster growth than the rest. The results reveal useful traits in selection for tree growth and further identified shea tree ethnovarieties that could be selected for fast growth.

Population genetic structure of Chinese Puccinia triticina races based on multi-locus sequences

Puccinia triticina, the causal agent of wheat leaf rust, is one of the most devastating rust fungi attacking wheat worldwide. Seventy-six isolates of the wheat leaf rust pathogen from Yunnan, Sichuan, Gansu and Henan provinces, China, were tested on wheat leaf rust differentials and the population structure was analyzed using four presumably neutral partial sequence markers such as elongation factor-1α(EF-1α), glyceraldehyde-3-phosphate dehydrogenase(GAPDH), β-tubulin(TUB) and the second largest RNA polymerase subunit(RPB2). The phenotypic diversity of Yunnan and Sichuan populations was higher than that of Gansu and Henan populations. The four populations were separated into two clusters based on the pathogenic data. A total of 12 single nucleotide polymorphisms(SNPs) and 32 haplotypes were identified among the four sequences. The 32 haplotypes were divided into two clusters in a neighbor-joining tree. Bayesian analyses also identified two clusters. Pairwise FST between populations in different regions were significantly different(P<0.05). Analysis of molecular variance(AMOVA) indicated that 68% of the total genetic variation was within populations.

Studies on Plant Population and Stand Establishment Techniques for Increasing Productivity of Rice in Dera Ismail Khan, Pakistan

Rice production in Pakistan is constraint by many factors pertaining to prevalent planting techniques. A research on the feasibility of new planting techniques （direct seeding on flat, transplanting on flat, direct seeding on ridges, transplanting on ridges and parachute planting） in transplanted and direct wet-seeded rice was undertaken at Dera Ismail Khan region of Pakistan＇s North West Frontier Province during 2002 and 2003. Among the planting techniques, the best performance for the yield formation and economic evaluation was noted for transplanting on flat during both years. Chinese parachute planting technology also showed very promising results in most of the parameters. Direct seeding on ridges could not excel transplanting on flat and parachute planting during both cropping seasons. The findings concluded the feasibility of parachute planting technology along with traditional rice transplanting on flat over all other planting techniques being practiced in the area.

Stem Population and Tissue Replacement of <i>Urochloa</i>in Different Phenological Stages

The objective of the present investigation was to evaluate the Urochloa Insurgent, Piata and Signal grasses by varying the phenology in the attributes: stem population dynamics, tissue replacement, leaf:stem relation and weight per stem. The data were analyzed using a completely randomized block design with arrangement in divided plots and four replications, the procedure used was PROC GLM from SAS. The Signal grass presented higher stem density with an average of 450 m?2 stems, while the meadow with Insurgent grass registered the lowest stem density throughout the investigation, with an average of 320 m-2 stems;furthermore, in this treatment, the stem density tended to increase slowly over time (P = 0.05). The Insurgente and signal grasses showed rapid leaf elongation from day 21 of regrowth with 123 and 104 cm stem?1, while in Piata the accelerated leaf elongation was on day 14 with 113 cm stem?1 where it remained active its growth until day 56 (P > 0.05). As the regrowth age was increasing, the population dynamics of stems and weight per stem were increasing;in Insurgent and signal the leaf elongation and net growth increased to a maximum point to start declining;however, in Piata grass was increasing without decreasing. The trend of the leaf:stem relation was decreasing as the test progressed and senescence increased from day 21 of regrowth.

Ecological distribution and population structure of Litsea glaucescens(Lauraceae)in the ravines of Sierra Fría and Sierra Laurel,Central Mexico

Litsea glaucescens Kunth(Mexican bay leaf,laurel)has a wide distribution in Mexico,growing at both riparian and rupicolous environments in the mountainous region of the Central Highlands of the country.Sierra Fría-Sierra Laurel is a protected natural area covered by a dry forest.The Mexican bay leaf is associated with the oak forest,especially on ravines.The species has been considered at risk in recent years.This research is focused on analyzing the elements of the environment of the ravines,which are influencing the distribution and establishment of laurel populations in the region.Two mountainous regions of Aguascalientes were selected,Sierra Fría and Sierra Laurel.Three ravines of the basin were selected to obtain environmental data.Variables registered were topographic,edaphic,and biotic.Principal component analysis was used to identify ecological factors associated with the presence of L.glaucescens.Mexican bay leaf populations were registered in 10 ravines.At the structural level in the community,29 woody species were registered,Mexican bay leaf had an Importance Value Index of 15.8,ranking 10th among all species.Individuals of laurel were classified by size classes(S,individuals with heights ranging from 0 to 20 cm;S,heights ranging from 0.2 to 1.0 m;S,heights between 1 and 2 m with light trace of flowering;S,heights greater than 2 m with flowering greater than 30% of the canopy;and S,individuals with heights greater than 5 m,curved trunk and basal regrowth)to obtain the population structure.The importance index value for all the species in the riparian community was calculated to the community level.Edaphic factors that characterized the presence of Mexican bay leaf were a high percentage of rock coverage(90%),less mulch depth,and sandy loam shallow soils.Sites that showed higher cation exchange capacity had a higher presence of individuals of the S,S,and Ssize classes.Class Sindividuals were found in shady places with 97% of intercepted light.Individuals of classes Sand Sendure less shady places(75%–85% of intercepted light),and individuals class Sand Sare more frequent in open canopies and crag conditions.Regarding the ecological site factors,such as riverside stream,and rocks on mountain slopes,L.glaucescens life form is riparian and rupicolous.Cation exchange capacity,sodium and calcium levels play an important role in the presence of Mexican bay leaf.Distribution on the ravine and recruitment of the Mexican bay leaf populations are associated with shaded sites,mainly for individuals of size classes Sand S,versus sunny places for individuals of size classes Sand S.The overall population structure had a positive kurtosis with all plant size categories well represented;statistically,the population structure of L.glaucescens is very close to the normal distribution.The information obtained allows us to affirm that the laurel populations in the mountainous areas of Sierra Fría and Sierra Laurel from central Mexico are in good demographic condition.

Simulation on Distribution of Photosynthetically Active Radiation in Canopy and Optimum Leaf Rolling Index in Rice with Rolling Leaves

By replacing leaf area index （LAI） with effective leaf area index （ELAI） through introduction of leaf rolling index （LRI）, the distributions of photosynthetically active radiation （PAR） in the canopies of three hybrid rice combinations, Liangyou E32 with high LRI, Liangyoupeijiu with moderate LRI and Shanyou 63 with non-rolling leaves （normal）, were simulated. The model based on ELAI could predict more accurately than that based on LAI. The PAR interception, conversion and utilization efficiency in the three combinations were studied to evaluate their optimal LRI and LAI. The PAR utilization efficiency of Liangyou E32 was lower due to excessive rolling leaves and less ELAI, and that of Shanyou 63 was also lower because of the faulty PAR interception and lower photosynthetic rate and saturation point at lower layer in canopy. Compared with the above two combinations, Liangyoupeijiu showed more appropriate distribution of PAR interception and conversion efficiency in canopy, and higher PAR utilization efficiency. The optimal LRI and LAI for Liangyoupeijiu were 0.11 and 7.6, respectively, which were close to the observed value, 0.11 and 7.9, respectively. However, the optimum LAI was 9.8 for Liangyou E32 and 6.2 for Shanyou 63, larger or smaller than those under the current plant density, which led to lower efficiency of PAR utilization. Besides, the optimum LRI for Liangyou E32 and Shanyou 63 were 0.12 and 0.08, respectively, which were close to the actual LRI for Liangyoupeijiu （0.11）.

Leaf phenotypic variation of endangered plant Tetracentron sinense Oliv.and influence of geographical and climatic factors

To analyze the degree and pattern of phenotypic variation in leaves of Tetracentron sinense Oliv from the perspective of genetic and environmental adaptation and thus contribute to effective evidence-based conservation and management strategies for germplasm resources,we measured 17 morphological and epidermal micromorphological leaf traits from 24 natural populations of T.sinense.Nested analysis of variance,multiple comparison,principal component analysis(PCA),cluster analysis,and correlation analysis were used to explore phenotypic leaf variation among and within populations and potential correlations with geographic and environmental factors.There were significant differences in 17 leaf phenotypic traits among and within populations.The mean phenotypic differentiation coefficient of the 17 traits was 56.34%,and the variation among populations(36.4%)was greater than that within populations(27.2%).The coefficient of variation(CV)of each trait ranged from 4.6 to 23.8%,and the mean was 11.8%.Phenotypic variation of leaves was related to environmental factors such as average annual sunshine hours,average July temperature,and average annual rainfall.The variation changed along gradients of longitude,latitude,and altitude.The PCA clustered the 24 natural populations into four groups.Our study suggests that phenotypic variation in T.sinense occurred primarily among populations,with moderate levels of phenotypic differentiation among populations and low levels of phenotypic variation within populations.The plant’s poor adaptability to the environment is likely an important contributor to its endangerment.Accordingly,conservation strategies are proposed to protect and manage the natural populations of T.sinense.

Effects of plastic mulching film-induced leaf burning on seedling growth in tobacco cultivation:Different findings beyond conservation view

Solving high-temperature plastic mulching film-induced leaf burning in the first week during tobacco cultivation would take much time and effort. In the present study, the growth as well as the leaf sugar and nicotine contents of seedlings with or without leaf burning induced by high-temperature plastic mulching film were tested at two independent sites in 2015 and 2016 to identify the influence of leaf burning on seedling growth. The results showed that the growth of seedlings with leaf burning was improved with increased leaf area, leaf number and plant height compared to those without leaf burning, combined with an increased seedling survival rate at two sites in two years. In seedlings with leaf burning, the contents of fructose and glucose increased and peaked at 11：00 and 13：00 in the leaf and root, respectively, with an increased root nicotine content beginning at 13：00, highlighting the signalling role of sugars. Activities of antioxidant enzymes including peroxidase （POD）, superoxide dismutase （SOD） and catalase （CAT） were all increased in seedlings with leaf burning. More plant biomass was allocated to roots in seedlings with leaf burning with increased root volume compared to control seedlings, which might facilitate the absorption of water and nutrients from the soil. Our findings demonstrate that high-temperature plastic mulching film-induced leaf burning not inhibited but benefited seedling survival and growth, suggesting that the time and labour-consuming manual plucking of burnt leaves can be avoided during tobacco cultivation.

Dispersal routes of Cercospora zeina causing maize gray leaf spot in China

The gray leaf spot caused by Cercospora zeina has become a serious disease in maize in China.The isolates of C.zeina from Yunnan,Sichuan,Guizhou,Hubei,Chongqing,Gansu,and Shaanxi were collected.From those,127 samples were used for genetic diversity analysis based on inter-simple sequence repeat(ISSR)and 108 samples were used for multi-gene sequence analysis based on five gene fragments.The results indicated that populations of C.zeina were differentiated with a relatively high genetic level and were classified into two major groups and seven subgroups.The intra-population genetic differentiation of C.zeina is the leading cause of population variation in China,and interpopulation genetic similarity is closely related to the colonization time and spread direction.The multi-gene sequence analysis of C.zeina isolates demonstrated that there were nine haplotypes.Genetic diversity and multi-gene sequence revealed that Yunnan population of C.zeina,the earliest colonizing in China,had the highest genetic and haplotype diversity and had experienced an expansion event.With the influence of the southwest monsoon in the Indian Ocean,C.zeina from Yunnan gradually moved to Sichuan,Guizhou,Shaanxi,Gansu,and Chongqing.Meanwhile,C.zeina was transferred directly from the Yunnan into the Hubei Province via seed and then came into Shaanxi,Henan,and Chongqing along with the wind from Hubei.

Genetic Diversity of Leaf Phenotypic Traits in Walnut Germplasm Resources

In order to reveal the genetic diversity and variation sources of leaf phenotypic traits in walnut,the coefficient of variation,Shannon-weaver index,phenotypic differentiation coefficient,and the correlation of 9 leaf phenotypic traits for 251 walnut germplasm resources from two walnut populations were analyzed.The results showed that the averages of the variation coefficients and Shannon-weaver indexes of the leaf phenotype traits were 17.45%and 1.86 respectively.The F values of most inter-population traits and all intra-population traits were highly significant,and the F values of inter-population leaf shape index,leaflet number,length and leaf length were very large.The averages of inter-population and intra-population differentiation coefficients were 9.15%and 90.85%respectively.The leaf size,leaf thickness,and leaflet number were highly correlated with trunk perimeters.According to the results of principal component analyses,the 9 traits can be simplified into four principal components,which represent leaf size,petiole,leaflet number and leaf shape,respectively.There were extensive variations and rich genetic diversities in leaf phenotypic traits of walnut,and the intra-population variation was the leading source of phenotypic trait variation.Leaf shape index,leaflet number,internode length and leaf length can be used for population classification.The size and thickness of leaves and the number of leaflets will affect the accumulation of nutrients in walnut tree,and then affect its trunk perimeter.

Geographical differences of leaf traits of the endangered plant Litsea coreana Levl.var.sinensis and its relationship with climate

Seventeen morphological and anatomical characteristics of the leaves were selected from five natural populations to explore the variation in leaf traits of Lits ea core ana var.sinensis and the effects of geographical environment on these variations.Nested analysis of variance,multiple comparisons,principal component analysis(PCA),and correlation analysis were conducted to explore the variations within and between populations and their correlation with geographical and climatic factors.Significant differences in the 17 leaf traits were observed within and among populations.On average,the relative contribution of within population variation to total variation was 24.8%,which was lower than among population variation(54.6%).The average differentiation coefficient of the traits was 65.8%,and the average coefficient of variation 11.8%,ranging from6.7%for main vein thickness to 21.4%for petiole length.The PC A results showed that morphological characteristics were divided into two categories,and the level of variation was greater than that of leaf anatomy.Most of the leaf traits were significantly correlated with geography and climate and showed a gradual variation with longitude,latitude,and altitude.In areas with high temperatures,less rainfall,and strong seasonal rainfall,the leaves are larger,longer and thicker.This study shows that variations in leaf traits of L.coreana var.sinensis mainly come from variations among populations.The level of trait differentiation among populations is high and the level of variation within populations low.These findings help further understand leaf morphological characteristics of this species and can provide a valuable reference for the protection and sustainable utilization of this natural resource.

The Association Between Epoxide Hydrolase Genetic Variant and Effectiveness of Nicotine Replacement Therapy in a Han Chinese Population

Dear Editor, Nicotine is a psychoactive alkaloid that is thought to play a key role in addiction to commercial tobacco products [1] and cotinine is its primary metabolite [2]. Pharmacological treatment, such as nicotine replacement therapy （NRT）, is a valid solution to this problem. Tobacco smoke contains many carcinogens such as nitrosamines .

废弃烟叶可溶性蛋白的提取工艺

集合超声波、超滤、弱碱性等电点沉淀技术,开发了一种从废弃烟叶中提取可溶性蛋白的新工艺,并构建了一套物理、化学、生物参数评价体系.经优化后的工艺路线如下:在0.085 mol/L磷酸缓冲液(pH=7.85)条件下,以1∶8料液比进行超声波提取,经分级离心、过滤/超滤,并通过0.11 mol/L[H^(+)]溶液调节等电点pH=5.5,成功提取了分子量约为55 kDa及大于200 kDa的混合蛋白,其氨基酸组成分析能满足成人必需氨基酸需求.红外光谱分析未见明显果胶、多糖特征.采用温和弱碱-等电点提取技术结合物理提取方法,有效解决了传统提取方法存在的问题,展现了良好的通用性,为废弃烟叶的资源化利用及工业化生产提供了新的思路.

万州不同种植区域川中小叶种红茶滋味品质分析

为探明万州川中小叶种制作红茶滋味品质,该文以9个不同区域和表型特征的川中小叶种制备红茶,采用靶向检测方法,分析茶汤中儿茶素类、游离氨基酸类、生物碱类、黄酮醇及其苷类、有机酸类和可溶性糖组分6大类滋味成分,以感官分析,多元统计法,结合滋味贡献度(dove-over-threshold,Dot)分析川中小叶种茶树的滋味特征。结果表明:所有茶样分为4类,Ⅰ类茶样中包含C4,C5,C6,C8以及2个对比样,各滋味成分含量相对较为均衡;Ⅱ类茶样具备类似的林下栽培环境,黄酮苷类物质含量低,没食子酸、咖啡碱(caffeine,CAFF)、儿茶素类以及氨基酸类物质含量高,表现出醇厚、鲜爽度高的滋味特征;Ⅲ类茶样为叶形较大的种质,黄酮苷类、琥珀酸为其特征滋味成分,儿茶素类、茶氨酸和CAFF含量低,涩味和鲜爽度较高;Ⅳ类茶样儿茶素类、CAFF含量较高,Thea含量低,滋味浓强,但欠鲜爽。该研究对万州区不同区域川中小叶种制备红茶的品质特性进行了梳理,为该类种质资源进一步改进工艺和开发利用提供理论依据。

不同海拔铁心杉天然群体的叶表型变异

【目的】揭示不同海拔梯度下铁心杉天然群体的叶表型多样性及其变异规律,探究叶表型性状与海拔气候的相关关系,为铁心杉种质资源的收集、保护与利用提供科学依据。【方法】以湖南小溪国家级自然保护区内的铁心杉天然群体为研究对象,运用巢氏方差分析、相关性分析、主成分分析、聚类分析等方法,对来自4个不同海拔铁心杉天然群体的12个叶表型性状开展研究。【结果】除叶宽外,有11个叶表型性状在群体间和群体内存在显著(P<0.05)或极显著差异(P<0.01),变异较为丰富;随着海拔的升高,不同海拔铁心杉天然群体间的叶表型变异整体呈现降低趋势,变异系数最高和最低的群体分别为Pop1(18.52%)、Pop4(13.95%);群体内的表型分化系数(77.46%)大于群体间的表型分化系数(22.54%),表明群体内变异是铁心杉变异的主要来源,群体分化程度属于中等水平。相关性分析表明,随着海拔的升高,针叶厚、比叶面积、比叶重与温度呈极显著负相关关系(P<0.001),与降水量呈极显著正相关关系(P<0.001),这表明铁心杉的针叶为了适应环境表现出胁迫耐受策略。利用Ward.D2层次聚类法对铁心杉群体进行聚类分析,4个不同海拔铁心杉天然群体可划分为4个类群。【结论】随着海拔的升高,铁心杉群体叶表型多样性整体呈现下降趋势,且与海拔气候因子显著相关。群体间和群体内均存在较为丰富的表型变异,但以群体内变异为主。