The Equilibrium and Growth Stability of Winter Wheat Root and Shoot Under Different Soil Water Conditions

The equilibrium between root, shoot and growth stability under different soil water conditions were investigated in a tube experiment of winter wheat. The water supplying treatments included： sufficient irrigation at whole growth phase, moderate deficiency irrigation at whole growth phase, serious deficiency irrigation at whole growth phase, sufficient irrigation at jointing stage, tillering stage, flowering stage, and fillering respectively, after moderate and serious water deficit during their previous growth stage. Root and shoot biomass were measured. On the basis of the cooperative root-shoot interactions model, the equilibrium and growth stability were studied on the strength of the kinetics system theory. There was only one varying equilibrium point between the root and shoot over the life time of the winter wheat plant. Water stress prolonged the duration of stable growth, the more serious the water deficit, the longer the period of stable growth. The duration of stable growth was shortened and that of unstable growth was prolonged after water recovery. The growth behavior of the plants exposed to moderate water deficit shifted from stable to unstable until the end of the growth, after rewatering at flowering. In the life-time of the crop, the root and shoot had been adjusting themselves in structure and function so as to maintain an equilibrium, but could not achieve the equilibrium state for long. They were always in an unbalanced state from the beginning to the end of growth. This was the essence of root-shoot equilibrium. Water stress inhibited the function of root and shoot, reduced root shoot interactions, and as a result, the plant growth gradually tended to stabilize. Rewatering enhanced root shoot interactions, prolonged duration of instable growth. Rewatering at flowering could upset the inherent relativity during the long time of stable growth from flowering to filling stage, thus leading to unstable growth and enhanced dry matter accumulating rate in the whole plant.

Variations in shoot and root growth of three provenances of Faidherbia albida in clay and sand soil

The variation in shoot and root seedling growth traits was compared among three Faidherbia albida （Del）. A. Chev. provenances originating from Kenya （Taveta）, Malawi （Bolero） and Ghana （Bolgatanga）; representing east, south and west Africa, respectively. Bulked seeds from three provenances were grown in two soil types （clay and sand） at the World Agroforestry Centre nursery, Nairobi. Seedlings grown in clay soil had high shoot growth and shoot to root ratios but shorter root length, lower number of nodules and specific root length compared to seedlings in sand soil. Shoot to root ratios reduced with time and this was more pronounced in sand soil. Overall, the Bolero and Taveta provenances had higher growth than the Bolgatanga provenance. This was probably because plants grown in nutrient-rich clay soil invest more in shoot growth as compared to root growth. Longer root growth in sand soil shows a better adaptive mechanism that increases competitive ability and survival in nutrient-poor systems. Variations observed among the seedling variables such us shoot and root growth could be used for early selection for reforestation and agroforestry in predominantly clay and sand soil areas.

Nitrogen application levels based on critical nitrogen absorption regulate processing tomatoes productivity, nitrogen uptake, nitrate distributions, and root growth in Xinjiang, China

The unreasonable nitrogen(N)supply and low productivity are the main factors restricting the sustainable development of processing tomatoes.In addition,the mechanism by which the N application strategy affects root growth and nitrate distributions in processing tomatoes remains unclear.In this study,we applied four N application levels to a field(including 0(N0),200(N200),300(N300),and 400(N400)kg/hm^(2))based on the critical N absorption ratio at each growth stage(planting stage to flowering stage:22%;fruit setting stage:24%;red ripening stage:45%;and maturity stage:9%).The results indicated that N300 treatment significantly improved the aboveground dry matter(DM),yield,N uptake,and nitrogen use efficiency(NUE),while N400 treatment increased nitrate nitrogen(NO_(3)^(-)-N)residue in the 20–60 cm soil layer.Temporal variations of total root dry weight(TRDW)and total root length(TRL)showed a single-peak curve.Overall,N300 treatment improved the secondary root parameter of TRDW,while N400 treatment improved the secondary root parameter of TRL.The grey correlation coefficients indicated that root dry weight density(RDWD)in the surface soil(0–20 cm)had the strongest relationship with yield,whereas root length density(RLD)in the middle soil(20–40 cm)had a strong relationship with yield.The path model indicated that N uptake is a crucial factor affecting aboveground DM,TRDW,and yield.The above results indicate that N application levels based on critical N absorption improve the production of processing tomatoes by regulating N uptake and root distribution.Furthermore,the results of this study provide a theoretical basis for precise N management.

Bertalanffy-Pütter Models for the Growth of Tropical Trees and Stands

The Bertalanffy-Pütter (BP) five-parameter growth model provides a versatile framework for the modeling of growth. Using data from a growth experiment in literature about the average size-at-age of 24 species of tropical trees over ten years in the same area, we identified their best-fit BP-model parameters. While different species had different best-fit exponent-pairs, there was a model with a good fit to 21 (87.5%) of the data (“Good fit” means a normalized root-mean-squared-error NRMSE below 2.5%. This threshold was the 95% quantile of the lognormal distribution that was fitted to the NRMSE values for the best-fit models for the data). In view of the sigmoidal character of this model despite the early stand we discuss whether the setting of the growth experiment may have impeded growth.

Optimization of rhizosphere cooling airflow for microclimate regulation and its effects on lettuce growth in plant factory

In plant factories,the plant microclimate is affected by the control system,plant physiological activities and aerodynamic characteristics of leaves,which often leads to poor ventilation uniformity,suboptimal environmental conditions and inefficient air conditioning.In this study,interlayer cool airflow(ILCA)was used to introduce room air into plants’internal canopy through vent holes in cultivation boards and air layer between cultivation boards and nutrient solution surface(interlayer).By using optimal operating parameters at a room temperature of 28℃,the ILCA system achieved similar cooling effects in the absence of a conventional air conditioning system and achieved an energy saving of 50.8% while bringing about positive microclimate change in the interlayer and nutrient solution.This resulted in significantly reduced root growth by 41.7% without a negative influence on lettuce crop yield.Future development in this precise microclimate control method is predicted to replace the conventional cooling(air conditioning)systems for crop production in plant factories.

Potential of Plant Growth Regulators on Modulating Rooting of <i>Rosa centifolia</i>

Rosa centifolia is grown for its flowers which are used for essential oil extraction. It is vegetatively propagated through its cuttings which are difficult to root. This study was designed to increase the rooting percentage of cuttings by applying plant growth regulators (PGRs) with different levels. In total 31 treatments with different concentrations (450 ppm, 700 ppm and 950 ppm) of indole butyric acid (IBA), indole acetic acid (IAA), naphthalene acetic acid (NAA) alone, in combination and with same concentrations of 6-benzylamino purine (BAP) were used. Healthy similar sized cutting of R. centifolia was treated in solution of PGRs by quick dip method and planted in polythene bags. The data for shoot length, shoot dry weight, number of roots, root length and root dry weight were recorded. All three levels (450 ppm, 700 ppm and 950 ppm) of IBA alone produced maximum results in case of all parameters as compared to all other treatments. Among three levels of IBA, 450 ppm concentration produced maximum shoot length (10.67 cm), shoot dry weight (3.02 g), number of roots (14.00), root length (11.90 cm) and root dry weight (0.50 g). Lower concentrations of plant growth regulators produced better results as compared to higher concentrations.

Soil Temperature Dependent Growth of Cotton Seedlings Before Emergence

Soil temperature is an important variable governing plant growth and development.Studies were conducted under laboratory conditions to determine the effect of soil temperature on root and shoot growth of cotton during emergence. Cotton seedlings were grown for 192 h at 20,32 and 38℃in soil packed in 300 mm long and 50 mm diameter cylinders. The data indicated that the longest roots (173 mm) as well as shoots (152 mm) were recorded at 32℃followed by 20 (130 mm root and 82 mm shoot) and 38℃(86 mm root and 50 mm shoot).Roots grown at 20 and 38℃were 20% and 50% shorter,respectively,than those grown at 32℃after 192 h.Roots and shoots exhibited the lowest length and dry biomass at 38℃.Shoot lengths grown at 20 (74 mm) and 38℃(51 mm) were 44% and 61% shorter than those grown at 32℃(131 mm) after 180 h growth period,respectively.Growth at all three temperatures followed a similar pattern.Initially there was a linear growth phase followed by the reduction or cessation of growth.Time to cessation of growth varied with temperature and decreased faster at higher temperatures.Sowing of cotton should be accomplished before seedbed reaches a soil temperature (≥38℃) detrimental for emergence.Further,the seedbeds should be capable of providing sufficient moisture and essential nutrients for emerging seedling before its seed reserves are exhausted to enhance seedling establishment in soil.

Model Estimates of Nutrient Uptake by Red Spruce Respond to Soil Temperature

A better understanding of the mechanisms that control nutrient acquisition in the context of plant and ecosystem responses to climate change is needed. Mechanistic nutrient uptake models provide a means to investigate some of the impacts of temperature change on soil nutrient supply and root uptake kinetics through the simulation of key soil and plant processes. The NST 3.0 model, in combination with literature values on plant and soil parameters from a red spruce (Picea rubens L.) site in the southern Appalachians, was used to conduct a series of model simulations focused on the combined effects of changes to the maximal rate of nutrient influx at high concentrations (Imax), root growth rate (k), concentration of nutrient occurring in the soil solution (Cli), and the ability of the soil solid phase to buffer changes to the soil solution nutrient concentration (b). Previous research has indicated that these four parameters are responsive to changes in root zone temperature. Simulated uptake of NH4 increased by a factor of up to 2.6 in response to increases in soil temperature of 1°C to 5°C. The model also projected an increase in P uptake coupled with up to an 80% reduction in solution P concentration in response to a 1°C -5°C increase over a 147-d simulation period. These hypothetical changes, if validated, have interesting implications for plant growth and competition and point to a need for additional studies to better define the impacts of soil temperature on soil nutrient supply and root uptake.

The impact of bank lending on Palestine economic growth:an econometric analysis of time series data

Banking is an essential sector of Palestine’s economy.More credits provided by banks are considered to have a positive impact on economic growth so that the overall objective of this study is to examine the impact of bank lending on economic growth in Palestine.The study employs the Augmented Dickey-Fuller to test for stationarity in the time series,The Johansen co-integration,Vector Autoregressive Model and Vector Error Correction Model are employed to identify the long-run and short-run dynamics among the variables,and Granger causality test in order to determine the direction of causality.The study finds that a long run relationship exists among the variables and insignificant short run relationship.Also,the study findings show that there is unidirectional causality and runs from GDP to bank lending.The insignificant contribution of bank lending to GDP is attributed to the fact that banks are not highly interested in lending to the production sector of the economy due to the high level of risk.However,the primary empirical evidence reveals that bank lending doesn’t cause economic growth,but economic growth causes bank lending.

Impact of elevated CO_2 concentration under three soil water levels on growth of Cinnamomum camphora

Forest plays very important roles in global system with about 35% land area producing about 70% of total land net production. It is important to consider both elevated CO2 concentrations and different soil moisture when the possible effects of elevated CO2 concentration on trees are assessed. In this study, we grew Cinnamomum camphora seedlings under two CO2 con-centrations (350 μmol/mol and 500 μmol/mol) and three soil moisture levels [80%, 60% and 40% FWC (field water capacity)] to focus on the effects of exposure of trees to elevated CO2 on underground and aboveground plant growth, and its dependence on soil moisture. The results indicated that high CO2 concentration has no significant effects on shoot height but significantly impacts shoot weight and ratio of shoot weight to height under three soil moisture levels. The response of root growth to CO2 enrichment is just reversed, there are obvious effects on root length growth, but no effects on root weight growth and ratio of root weight to length. The CO2 enrichment decreased 20.42%, 32.78%, 20.59% of weight ratio of root to shoot under 40%, 60% and 80% FWC soil water conditions, respectively. And elevated CO2 concentration significantly increased the water content in aboveground and underground parts. Then we concluded that high CO2 concentration favours more tree aboveground biomass growth than under-ground biomass growth under favorable soil water conditions. And CO2 enrichment enhanced lateral growth of shoot and vertical growth of root. The responses of plants to elevated CO2 depend on soil water availability, and plants may benefit more from CO2 enrichment with sufficient water supply.

Development of monitoring and assessment of forest biomass and carbon storage in China

Addressing climate change has become a common issue around the world in the 21st century and equally an important mission in Chinese forestry.Understanding the development of monitoring and assessment of forest biomass and carbon storage in China is important for promoting the evaluation of forest carbon sequestration capacity of China.The author conducts a systematic analysis of domestic publications addressing＂monitoring and assessment of forest biomass and carbon storage＂in order to understand the development trends,describes the brief history through three stages,and gives the situation of new development.Towards the end of the 20th century,a large number of papers on biomass and productivity of the major forest types in China had been published,covering the exploration and efforts of more than 20 years,while investigations into assessment of forest carbon storage had barely begun.Based on the data of the 7th and 8th National Forest Inventories,forest biomass and carbon storage of the entire country were assessed using individual tree biomass models and carbon conversion factors of major tree species,both previously published and newly developed.Accompanying the implementation of the 8th National Forest Inventory,a program of individual tree biomass modeling for major tree species in China was carried out simultaneously.By means of thematic research on classification of modeling populations,as well as procedures for collecting samples and methodology for biomass modeling,two technical regulations on sample collection and model construction were published as ministerial standards for application.Requests for approval of individual tree biomass models and carbon accounting parameters of major tree species have been issued for approval as ministerial standards.With the improvement of biomass models and carbon accounting parameters,thematic assessment of forest biomass and carbon storage will be gradually changed into a general monitoring of forest biomass and carbon storage,in order to realize their dynamic monitoring in national forest inventories.Strengthening the analysis and assessment of spatial distribution patterns of forest biomass and carbon storage through application of remote sensing techniques and geostatistical approaches will also be one of the major directions of development in the near future.

可编辑的根系建模与生长模拟方法

针对植物根系种类繁多,形态呈现出高度多样性问题,提出一种可编辑的建模方法来模拟根系生长.首先拓展了传统的L系统,以一种具有语义特征的规则描述根系结构与拓扑关系;然后加入根茎半径与单根长度的连续方程,生成符合自然规律的生长;再通过指导向量控制根系的全局形态;最后提供多种编辑根茎局部形状的手段,如根茎骨架、曲面造型、不规则表面等,生成具有自然观感的根茎模型.对自然界中的6种植物进行仿真实验,包括直根系、须根系、储藏根系和板根4种不同类型,结果表明,根系的模拟结果与真实图片的平均相似度达到79.16%,所提方法具有构建多种类型根系的建模能力,可以通过设置形状指导曲线或者调节部分参数,构建出具有特殊形态的真实感根系模型.

西南桦立木生物量模型的研建

基于2019—2020年在云南省境内采集并测定的157株西南桦立木生物量(其中地上生物量106株、全树生物量51株),建立地上、地下生物量一元(二元)独立模型W=a×D^(b)、W=a×D^(b)×HC,并采用相容性生物量模型建立西南桦地上总生物量与树枝、树叶、树干各分项生物量之和相容的西南桦立木生物量模型,采用根茎比建立地下生物量模型。结果表明:对于西南桦地上生物量,一元、二元模型分别选用权函数W=1/(D^(2))、W=1/(D^(2)H),对于西南桦地下生物量,一元、二元模型分别选用权函数W=1/(D^(0.5))、W=1/(D^(0.5)H^(0.5)),进行加权回归求解模型参数,可明显减小异方差影响及提高模型稳定性;相容性生物量模型解决了立木树枝、树叶、树干等分项生物量之和与地上总生物量不相等问题;从评价指标来看,西南桦地上总生物量和树干生物量模型预估精度均在94%以上;树枝、树叶生物量模型预估精度在92%以上,地下生物量模型预估精度在87%以上。总之,各模型预估精度均达到了国家相关精度要求;研究成果可应用于西南桦生物量的估算。

不同浓度矮壮素、萘乙酸和烯效唑对大葱苗期生长的影响

为探究不同植物生长调节剂对大葱苗期徒长的控制效果,研究了矮壮素、萘乙酸和烯效唑3种植物生长调节剂对大葱苗期生长的影响。结果表明,喷施3种植物生长调节剂均能显著增加大葱幼苗的根系数量、茎粗、壮苗指数和根冠比;矮壮素和烯效唑处理显著降低株高,萘乙酸处理则增加株高;矮壮素和萘乙酸处理的叶绿素含量增加,干质量增加,而喷施不同浓度烯效唑的叶片和假茎干质量在处理后35 d时分别较对照降低7.56%~31.59%和27.95%~47.33%。综合考虑大葱幼苗的形态指标和干物质分配比例,500 mg·L^(-1)烯效唑处理对大葱幼苗控制徒长的效果最好,壮苗指数和根冠比分别较对照提高111.00%和91.30%。

不同品种玉米根-冠生长对土壤紧实胁迫的差异性响应特征

黄淮海地区农业集约化和机械化发展导致土壤紧实问题日益加重,限制玉米产量的进一步提升。明确不同品种玉米根系和地上部生长对土壤紧实胁迫的差异性响应特征,可为该区玉米高产栽培提供理论依据。本研究选用3个玉米品种,采用机械碾压的方法在同一田块模拟无紧实胁迫(NC:no compaction stress,容重1.0~1.3 g cm^(-3))、中度紧实胁迫(MC:moderate compaction stress,容重1.4~1.5 g cm^(-3))和重度紧实胁迫(HC:heavy compaction stress,容重>1.6 g cm^(-3))3个紧实程度处理,定量解析不同程度土壤紧实胁迫下不同品种玉米根冠生长各指标及产量的变化规律。结果表明,与NC相比,MC和HC处理导致玉米减产3.8%~10.3%和12.5%~33.3%。玉米根冠生长及产量形成对土壤紧实胁迫的响应存在基因型差异。MC处理下,DK517的根长、根干重及根冠比较ZD958和DH605分别提高6.0%和14.0%、15.7%和29.6%、18.8%和24.8%,但最大叶面积指数、植株总干物重和产量无显著差异;HC处理下,DK517的根长和根干重较ZD958和DH605分别提高8.4%和22.5%、29.6%和57.8%,且最大叶面积指数、植株总干物重和根冠比分别提高4.6%和15.5%、3.7%和20.9%、28.0%和32.1%,因此产量分别增加7.5%和27.2%。相关分析表明,土壤容重和贯穿阻力与玉米根冠生长各指标和产量呈显著负相关关系(P<0.01)。综上所述,土壤紧实胁迫会显著抑制玉米根系和地上部生长而造成减产,但不同品种玉米根冠生长对不同程度土壤紧实胁迫的响应存在着差异,重度土壤紧实胁迫下根冠生长均具有优势的品种能够维持较高的产量,研究结果可为玉米品种改良和土壤紧实下耕作措施优化提供理论依据。

6种阔叶树种幼苗生物量分配特征及模型构建

以福建省上杭白砂国有林场闽楠、南岭栲、米老排、青冈、云山青冈和木荷2年生幼苗为研究对象,采用全株收获法获取6种树种幼苗根、茎、叶及整株的生物量,比较其分配特征和地上、地下生物量的异速生长关系,建立不同树种幼苗各器官及整株生物量的回归估测模型。结果表明:(1)不同树种幼苗整株生物量差异显著,依次为青冈>米老排>南岭栲>云山青冈>木荷>闽楠。(2)不同树种幼苗各器官生物量分配差异显著,其中青冈根生物量占比最大(39.9%),米老排茎生物量占比最大(45.0%),闽楠叶生物量占比最大(49.2%)。(3)不同树种幼苗地下生物量与地上生物量比值均小于1,表明幼苗生物量更多地分配到茎和叶。除木荷外,其余树种地上、地下生物量均遵循显著的等速生长关系。(4)不同树种幼苗生物量回归估测模型多为幂函数模型,其次为三次多项式模型。6种树种幼苗整株生物量在不同器官分配上存在差异,同时幼苗地上、地下生物量间呈现出等速生长规律。各树种幼苗生物量回归估测模型拟合效果较好,可在相同或相似立地条件下估算不同树种幼苗生物量。

番茄苗期根际加温对其生长及水分吸收的影响

[目的]本文旨在明确适宜的番茄根际加温温度,为北方早春玻璃温室中番茄苗期根际温度调控提供理论和方法依据,缓解低温环境对番茄生长的危害。[方法]在玻璃温室高架岩棉栽培条件下,采用控温加热带对番茄根际进行加温,并设置3个处理即根际不加温(CK)、根际加温至20℃(T20)、根际加温至25℃(T25),研究不同根际加温条件对早春苗期番茄生长、光合、干物质积累和水分吸收等的影响。[结果]根际加温可显著促进番茄株高、茎粗、叶片数的增加,不同时期处理T20比CK株高提高13.6%~17.0%,茎粗提高10.3%~14.3%,叶片数增加3.4%~12.5%;处理T25比CK株高提高7.2%~9.7%,茎粗提高7.7%~15.6%,叶片数增加0%~15.6%;定植后10 d,番茄净光合速率随根际温度呈先升高后降低的趋势,定植后20 d和定植后30 d,番茄净光合速率随根际温度升高而升高;根际加温促进了番茄对水分的吸收,促进了番茄茎、叶干物质积累,提早开花时间,其中处理T20比CK地上部总干重增加79.3%~85.4%,开花提早5 d,处理T25比CK地上部总干重增加29.2%~72.4%,提早开花时间3 d。[结论]T20处理番茄株高和茎粗最大、积累干物质总量最多、开花时间最早,即20℃是早春苗期番茄较为适宜的根际加温温度。

模拟酸雨对广西4个树种苗木生长的影响研究

采用盆栽试验,设置4个水平(pH3.0、pH4.0、pH5.0、pH5.6)、一个对照(pH6.0),共5种处理,测定4个树种在不同pH值酸雨处理下其苗高、地径和生物量变化情况,分析不同pH值及处理方式的酸雨对广西地区速生及珍贵树种幼苗生长的影响。研究结果表明,随酸雨pH值的降低,4个树种的苗高相对生长量和地径相对生长量总体均呈下降趋势;巨尾桉9号在模拟酸雨pH3.0时,其地上生物量显著大于对照,在pH5.0时,其地下生物量、总生物量略大于对照,在pH5.6时,其根冠比最大;格木在模拟酸雨pH5.6时,其苗高相对生长量显著大于对照,根冠较对照大;降香黄檀在模拟酸雨pH5.0时,其苗高相对生长量显著高于对照,根冠比最大;在不同浓度酸雨处理下,土沉香各生长指标均显著小于对照。

栽培基质及施肥处理对盆栽茶花‘甜凯特’生长的影响

以束花茶花品种‘甜凯特’为试验材料,设置6种基质配方、4种施肥处理,探索不同栽培基质及施肥处理对茶花生长的影响。结果表明:不同基质及施肥处理对根体积、根表面积影响不同,T1(60%进口泥炭藓+40%珍珠岩)、T2(50%进口泥炭藓+30%珍珠岩+20%赤玉土)和T3(50%进口泥炭藓+30%珍珠岩+20%椰糠)基质条件下对其影响显著大于T4(50%进口泥炭藓+30%珍珠岩+20%腐熟松皮)、T5(50%进口泥炭藓+30%珍珠岩+20%河沙)和T6(50%进口泥炭藓+30%珍珠岩+20%稻壳炭)。T1、T2和T4基质有利于提高‘甜凯特’新梢数量、最大新梢长度。碱解氮浓度与‘甜凯特’的新梢生长呈正相关关系,pH、EC值、速效磷及速效钾浓度与新梢生长呈负相关。综上,“60%进口泥炭藓+40%珍珠岩”和“50%进口泥炭藓+30%珍珠岩+20%赤玉土”2种基质更适于‘甜凯特’生长,施肥对‘甜凯特’的影响还有待于进一步研究。

基于图像处理技术的茶树新梢识别和叶面积计算的探索研究

基于田间采集的大量茶树春梢生育图片,借助计算机视觉技术,利用目标检测算法YOLOv5构建茶树新梢不同生育阶段的识别模型,测试结果表明该模型具有较高的检测精度。进一步探究了Image-J软件处理以及基于Gray值、RGB值、HSV值的阈值切割图像处理方法在茶叶面积处理方面的应用,比较了不同方法的准确度和运行效率。结果表明,基于HSV阈值切割法的茶树叶片面积算法准确率在94%以上,表现优于RGB阈值切割法。研究结果为开发茶树新梢生育进度智能识别模型和叶片性状信息提取算法提供了技术支撑,为采茶机械的茶芽自动识别模块的研发提供了理论基础。