Response of fine roots to precipitation change: A meta-analysis北大核心CSCD

Aims The response of fine roots to soil moisture is very sensitive. Climate change scenarios predict changes in precipitation which influence soil moisture directly. Plants optimize resource acquisition by fine root morphological plasticity and biomass redistribution when soil moisture changes. Therefore, it is important to study the effect of precipitation increase and decrease on fine roots and reveal the response of ecosystem carbon cycling to global climate change. Methods We collected 202 sets of data from 48 published domestic and foreign articles, and analized the responses of fine root biomass, production, turnover, root length density, specific root length and soil microbial biomass carbon which reflects fine root decomposition dynamic to precipitation change by the meta-analysis. RR++ (weighted response ratio) was used to quantify the effect size of the response of fine roots to precipitation change. Important findings (1) The significance and magnitude of the precipitation effects on fine roots varied among plant types. Shrub fine roots had stronger response than tree fine roots. (2) The response of fine roots differed across soil depth. Fine root had most significant responses when the precipitation increased or decreased 50%. A 50% increase in precipitation had a significant positive impact on both fine root biomass in 20–40 cm soil and specific root length in 0–10 cm soil depth. A 50% decreased in precipitation had a significant negative impact on fine root production in 20–40 cm soil but positive impact on root length density in 0–10 cm soil. (3) The duration of experiment affected the response of fine roots, fine roots responded to precipitation changes (increase and decrease) by morphological plasticity in short-term experiments, and by biomass redistribution in long-term experiments. (4) Increasing precipitation contributed to the nutrient release of fine roots, because soil microbes accelerated the decomposability of fine roots due to sufficient substrate resources stimulated their own activity. © 2018 Editorial Office of Chinese Journal of Plant Ecology. All rights reserved.     

Genotype and Planting Density Effects on Rooting Traits and Yield in Cotton （Gossypium hirsutum L,）

Root density distribution of plants is a major Indicator of competition between plants and determines resource capture from the solh This experiment was conducted in 2005 at Anyang, located in the Yellow River region, Henan Province, China. Three cotton （Gossyplum hlrsutum L.） cultivars were chosen： hybrid Btcultlvar CRI46, conventional Btcultlvars CRI44 and CRI45. Six planting densities were designed, ranging from 1.5 to 12.0 plants/m^2. Root parameters such as surface area, diameter and length were analyzed by using the DT-SCAN Image analysis method. The root length density （RLD）, root average diameter and root area Index （RAI）, root surface area per unit land area, were studied. The results showed that RLD and RAI differed between genotypes; hybrid CRI46 had significantly higher （P 〈0.05） RLD and RAI values than conventlonal cultlvars, especially under low planting densities, less than 3.0 plants/m^2. The root area index （RAI） of hybrid CRI46 was 61% higher than of CRI44 and CRI45 at the flowering stage. The RLD and RAI were also significantly different （P = 0.000） between planting densities. The depth distribution of RAI showed that at Increasing planting densities RAI was Increasingly distributed in the soil layers below 50 cm. The RAI of hybrid CRI46 was for all planting densities, obviously higher than other cultivars during the flowering and boll stages. It was concluded that the hybrid had a strong advantage in root maintenance preventing premature senescence of roots. The root diameter of hybrid CRI46 had a genetically higher root diameter at planting densities lower than 6.0 plants/m^2. Good associations were found between yield and RAI In different stages. The optimum planting density ranged from 4.50 plants/m^2 to 6.75 plants/m^2 for conventional cultlvars and around 4.0-5.0 plants/m^2 for hybrids.     

Issues in using the WinRHIZO system to determine physical characteristics of plant fine roots☆

Image analysis systems have facilitated rapid measurements of fine root length (RL), diameter (RD), volume (RV), etc. The WinRHIZO system is unlike other image analysis systems in that it can detect, and make corrections for, areas of root overlap. It is designed to be capable of using both Regent’s non-statistical method (WinRHIZO method) and Tennant’s statistical method (line-intersect method), and can simultaneously output the root measurements by both methods when they are chosen at the same time. This study tested: (1), the efficacy of the overlap correction function in the WinRHIZO system; and (2), the consistency of fine root measurements between the WinRHIZO and Tennant methods with two sets of root measurement data from winter wheat (Triticum aestivium L.). The results showed that there were significant differences in RL, RD and RV between small root samples with and without stumps. The impact of root stumps outweighed the overlap correction efficacy in WinRHIZO. The values from the Tennant method are significantly different from those using the WinRHIZO method, although both results are statistically closely correlated. This indicated how critical it was to use without-stump root samples when using image analysis systems to measure RL, RD, RV, etc., and to keep in mind that a significant difference in root measurements may be methodologically related when comparing the results of various experiments from these two methods. Our research results bear important implications for the study of root ecology.     

Issues in using the WinRHIZO system to determine physical characteristics of plant fine roots

Image analysis systems have facilitated rapid measurements of fine root length (RL), diameter (RD), volume (RV), etc. The WinRHIZO system is unlike other image analysis systems in that it can detect, and make corrections for, areas of root overlap. It is designed to be capable of using both Regent’s non-statistical method (WinRHIZO method) and Tennant’s statistical method (line-intersect method), and can simultaneously output the root measurements by both methods when they are chosen at the same time. This study tested: (1), the efficacy of the overlap correction function in the WinRHIZO system; and (2), the consistency of fine root measurements between the WinRHIZO and Tennant methods with two sets of root measurement data from winter wheat (Triticum aestivium L.). The results showed that there were significant differences in RL, RD and RV between small root samples with and without stumps. The impact of root stumps outweighed the overlap correction efficacy in WinRHIZO. The values from the Tennant method are significantly different from those using the WinRHIZO method, although both results are statistically closely correlated. This indicated how critical it was to use without-stump root samples when using image analysis systems to measure RL, RD, RV, etc., and to keep in mind that a significant difference in root measurements may be methodologically related when comparing the results of various experiments from these two methods. Our research results bear important implications for the study of root ecology.     

Aphidophagous guilds on nettle （Urtica dioica） strips close to fields of green pea, rape and wheat

The common nettle （Urtica dioica L.） is a perennial and cosmopolitan plant species and is known to be the source of food for a great diversity of insects. To understand the importance of the nettle in agro-ecosystems, a field experiment was carried out in an experimental farm at Gembloux （Belgium） to study the effect of nettle margin strips on aphid and aphidophagous populations in close field crops, namely wheat （Triticum aestivum L.）, green pea （Pisum sativum L.） and rape （Brassicae napus L.）. The aphids and related beneficial populations were weekly assessed, from March to August 2005, by visual observations in two plots per field crop. A higher abundance of aphidophagous beneficials was collected in nettle strips when compared to the field crops. Particularly, the presence of predatory anthocorids, mirids and green lacewings was observed on nettle only. Nevertheless, the most abundant aphid predatory family, the Coccinellidae, was distributed in both environments, in nettle strips and in crop fields. The field margin supported a significantly higher density ofHarmonia axyridis than the field crops. In contrast, the field crops, green pea particularly, supported a higher density of Coccinella septempunctata. The distribution of the aphidophagous species, mainly the ladybirds, was discussed in relation to the host plant and related aphid species and their potential effect on integrated pest management.     

The Characterization and Geographical Distribution of the Genes Responsible for Vernalization Requirement in Chinese Bread Wheat

The frequency and distribution of the major vernalization requirement genes and their effects on growth habits were studied. Of the 551 bread wheat genotypes tested, seven allelic combinations of the three Vrn-1 genes were found to be responsible for the spring habit, three for the facultative habit and one for the winter habit. The three Vrn-1 genes behaved additiveiy with the dominant allele of Vrn-A1 exerting the strongest effect. The allele combinations of the facultative genotypes and the discovery of spring genotypes with ＂winter＂ allele of Vrn-1 implied the presence of as yet unidentified alleles/genes for vernalization response. The dominant alleles of the three Vrn-1 genes were found in all ten ecological regions where wheat is cultivated in China, with Vrn-D1 as the most common allele in nine and Vrn-A1 in one. The combination of vrn-A1vrn-B1Vrn-D1 was the predominant genotype in seven of the regions. Compared with landraces, improved varieties contain a higher proportion of the spring type. This was attributed by a higher frequency of the dominant Vrn-A1 and Vrn-B1 alleles in the latter, Correlations between Vrn-1 allelic constitutions and heading date, spike length, plant type as well as cold tolerance were established.     

Synchronized oscillation in a modular neural network composed of columns

The columnar organization is a ubiquitous feature in the cerebral cortex. In this study, a neural network model simulating the cortical columns has been constructed. When fed with random pulse input with constant rate, a column generates synchronized oscillations, with a frequency varying from 3 to 43 Hz depending on parameter values. The behavior of the model under periodic stimulation was studied and the input-output relationship was non-linear. When identical columns were sparsely interconnected, the column oscillator could be locked in synchrony. In a network composed of heterogeneous columns, the columns were organized by intrinsic properties and formed partially synchronized assemblies.     

Root Morphology and Zn^2＋ Uptake Kinetics of the Zn Hyperaccumulator of Sedum alfredii Hance

Root morphology and Zn^2＋ uptake kinetics of the hyperaccumulating ecotype （HE） and nonhyperaccumulating ecotype （NHE） of Sedum alfredii Hance were investigated using hydroponic methods and the radiotracer flux technique. The results indicate that root length, root surface area, and root volume of NHE decreased significantly with increasing Zn^2＋ concentration in growth media, whereas the root growth of HE was not adversely affected, and was even promoted, by 500μmol/L Zn^2＋. The concentrations of Zn^2＋ in both ecotypes of S. alfredii were positively correlated with root length, root surface area and root volumes, but no such correlation was found for root diameter. The uptake kinetics for ^65Zn^2＋ in roots of both ecotypes of S. alfredii were characterized by a rapid linear phase during the first 6 h and a slower linear phase during the subsequent period of investigation. The concentration-dependent uptake kinetics of the two ecotypes of S. alfredii could be characterized by the Michaelis-Menten equation, with the Vmax for ^65Zn^2＋ influx being threefold greater in HE compared with NHE, indicating that enhanced absorption into the root was one of the mechanisms involved in Zn hyperaccumulation. A significantly larger Vmax value suggested that there was a higher density of Zn transporters per unit membrane area in HE roots.     

Rhizosheath formation and involvement in foxtail millet(Setaria italica) root growth under drought stress

The rhizosheath, a layer of soil particles that adheres firmly to the root surface by a combination of root hairs and mucilage, may improve tolerance to drought stress. Setaria italica(L.) P. Beauv.(foxtail millet), a member of the Poaceae family, is an important food and fodder crop in arid regions and forms a larger rhizosheath under drought conditions. Rhizosheath formation under drought conditions has been studied, but the regulation of root hair growth and rhizosheath size in response to soil moisture remains unclear. To address this question, in this study we monitored root hair growth and rhizosheath development in response to a gradual decline in soil moisture. Here, we determined that a soil moisture level of 10%–14%(w/w)stimulated greater rhizosheath production compared to other soil moisture levels. Root hair density and length also increased at this soil moisture level, which was validated by measurement of the expression of root hair-related genes.These findings contribute to our understanding of rhizosheath formation in response to soil water stress.     

Spatial pattern of soil organic carbon of the main forest soils and its influencing factors in Guangxi,China北大核心CSCD

Aims Our objectives were to study the spatial distribution of soil organic carbon (SOC) density and its influencing factors in the main forest ecosystems in Guangxi. Methods A total of 345 sample plots were established in Guangxi, and the size of each plot was 50 m × 20 m. Based on the forest resource inventory data and field investigation, the SOC storage of the main forests in Guangxi was estimated. Geostatistics was applied to analyze the spatial pattern of SOC density and the main influencing factors on SOC density were also explored by principal component analysis and stepwise regression. Important findings The total SOC storage in the main forests in Guangxi was 1 686.88 Tg, and the mean SOC density was 124.70 Mg•hm2, which is lower than that of China. The best fitted semivariogram model of SOC density was exponential model, and the spatial autocorrelation was medium. The contour map based on Kriging indicated that northeastern Guangxi had high SOC density and northwestern Guangxi had low SOC density, which corresponded to high SOC density in non-karst region and low SOC density in karst region. The SOC density followed the sequence of bamboo forest > deciduous broadleaf forest > warm coniferous forest > mixed evergreen and deciduous broadleaf forest > evergreen broadleaf forest, and yellow soil > red soil >lateritic red soil > limestone soil. The dominant environment factors affecting SOC density included soil depth, longitude, latitude, and altitude. Soil depth was the most influential factor, which was mainly attributed to the karst landscape.     

Root length density and water uptake distributions of winter wheat under sub-irrigation

As the critical information to study flow transport in soil–plant systems, root distributions and root-water-uptake (RWU) patterns have been studied extensively. However, most root distribution data in the past were collected under surface irrigation. Less research has been conducted to characterize root distributions under sub-irrigation. The objectives of this study were to (1) test if the generalized function of normalized root length density (NRLD) in the literature was applicable to root distributions of winter wheat under natural sub-irrigation, which provides water from subsurface by capillary rise from the water table, and (2) estimate RWU distributions of winter wheat under natural sub-irrigation. Column experiments were conducted to study the distributions of root length density (RLD) and RWU of winter wheat (Triticum aestivum L. cv. Nongda 189) during a growing period of 57 days from planting to tillering stages under surface irrigation and natural sub-irrigation. Data of root distributions and soil water content were collected in the experiments with different treatments of irrigation levels. Results showed that the RLD distributions of winter wheat under both surface irrigation and natural sub-irrigation were of similar patterns. The NRLD distributions under sub-irrigation were adequately characterized by the generalized function. An inverse method was employed to estimate the average RWU rate distributions of winter wheat. In addition, based on the potential RWU coefficient and the NRLD function, a simple approach was developed to predict RWU rates at different depths. The predicted RWU rates had a good agreement with the estimated RWU rate distributions using the inverse method.Section editor: R. E. Munns     

不同水分条件对冬小麦根系时空分布、土壤水利用和产量的影响

为了明确华北严重缺水区晚播冬小麦灌水对根系时空分布和土壤水分利用规律的影响,以冬小麦石麦15为材料,利用田间定位试验研究了不同灌水处理(春季不灌水W0;春季灌拔节水75mm,W1;春季灌起身水、孕穗水和灌浆水共225mm,W3)对根系干重密度(DRWD)、根长密度(RLD)、体积密度、分枝数等在0—200cm土层的垂直分布、动态变化及其对耗水和产量的影响,结果表明:随着春季灌水量的减少,开花后0—80cm土层的根干重密度、根长度密度、体积密度和分枝数密度均显著减少,80cm—200m土层的根干重密度、根长度密度、体积密度和分枝数密度却显著增加,并且显著增加冬小麦在灌浆期间对100cm以下深层土层水分的利用,总耗水量W1和W0分别比W3减少70.9mm、115.1mm,土壤耗水量分别比W3增加79.1mm、108.9mm,子粒产量W1和W0分别比W3减少653.3kg/hm2、1470kg/hm2,水分利用效率(WUE)则分别比W3提高0.09kg/m3、0.06kg/m3。晚播冬小麦春季灌1水(拔节水)可以促进根系深扎,增加深土层的根系分布量,提高对深层土壤贮水的吸收利用量,有利于实现节水与高产的统一。     

水分胁迫下盆栽冬小麦根系生长与苗系生长及某些生理特性的关系

水分胁迫下,盆栽冬小麦根干重和根长密度呈直线正相关。鉴于根长密度反映了土壤中根系最活跃的部分［５］,是研究植物根系吸收水分和养分的最优参数之一［６］,本文用之研究了它与地上部生物量、净同化速率、叶水势和叶片相对含水量、气孔阻力和蒸腾速率的关系。结果表明,根长密度与净同化速率和地上部干重呈直线负相关,与叶水势和叶片相对含水量呈直线正相关;与气孔阻力呈直线负相关,与蒸腾速率呈直线正相关。为实验室进行冬小麦生长控制与生理特性控制提供了一定的基础。     

Modelling diverse root density dynamics and deep nitrogen uptake—A simple approach

We present a 2-D model for simulation of root density and plant nitrogen (N) uptake for crops grown in agricultural systems, based on a modification of the root density equation originally proposed by Gerwitz and Page in J Appl Ecol 11:773–781, (1974). A root system form parameter was introduced to describe the distribution of root length vertically and horizontally in the soil profile. The form parameter can vary from 0 where root density is evenly distributed through the soil profile, to 8 where practically all roots are found near the surface. The root model has other components describing root features, such as specific root length and plant N uptake kinetics. The same approach is used to distribute root length horizontally, allowing simulation of root growth and plant N uptake in row crops. The rooting depth penetration rate and depth distribution of root density were found to be the most important parameters controlling crop N uptake from deeper soil layers. The validity of the root distribution model was tested with field data for white cabbage, red beet, and leek. The model was able to simulate very different root distributions, but it was not able to simulate increasing root density with depth as seen in the experimental results for white cabbage. The model was able to simulate N depletion in different soil layers in two field studies. One included vegetable crops with very different rooting depths and the other compared effects of spring wheat and winter wheat. In both experiments variation in spring soil N availability and depth distribution was varied by the use of cover crops. This shows the model sensitivity to the form parameter value and the ability of the model to reproduce N depletion in soil layers. This work shows that the relatively simple root model developed, driven by degree days and simulated crop growth, can be used to simulate crop soil N uptake and depletion appropriately in low N input crop production systems, with a requirement of few measured parameters.     

Estimating the parameters of a 3-D root distribution function from root observations with the trench profile method: case study with simulated and field-observed root data

Background and aims

Root length density (RLD) is a parameter that is difficult to measure, but crucial to estimate water and nutrient uptake by plants. In this study a novel approach is presented to characterize the 3-D root length distribution by supplementing data of the 3-D distribution of root intersections with data of root length density from a limited number of soil cores.

Methods

The method was evaluated in a virtual experiment using the RootTyp model and a field experiment with cauliflower (Brassica oleracea L. botrytis) and leek (Allium porrum, L.).

Results

The virtual experiment shows that total root length and root length distribution can be accurately estimated using the novel approach. Implementation of the method in a field experiment was successful for characterizing the growth of the root distribution with time both for cauliflower and leek. In contrast with the virtual experiment, total root length could not be estimated based upon root intersection measurements in the field.

Conclusions

The novel method of combining root intersection data with root length density data from core samples is a powerful tool to supply root water uptake models with root system information.     

小麦和玉米根系取样位置优化确定及根系分布模拟

为了确定小麦(Triticum aestivum)、玉米(Zea mays)根系的最优取样位置和更准确地模拟根长密度在土壤剖面的分布, 在冬小麦和夏玉米的灌浆后期, 采用根钻法取样, 比较了不同取样位置对根系分布的影响; 采用Gerwitz和Page模型对根长密度的分布进行了模拟。结果表明, 冬小麦行间和行上取样在0-10 cm土层根长密度差异显著, 在10 cm以下土层差异减少。在确定根长密度分布的取样中, 在0-20 cm土层应考虑根长密度分布的空间差异, 即行上密度大于行间密度; 而在20-100 cm土层, 需要考虑行间根长密度大于行上的空间差异; 在1 m以下土层两个位置的差异逐渐消失, 可不考虑空间差异。夏玉米根长密度在上层土壤表现出距离植株不同位置差异显著的特征。植株位置(株上)、距植株10 cm和距植株20 cm位置根长密度在土壤中的分布特征是: 0-10 cm土层3个位置根长密度差异在50%以上, 根长密度大小是株上>距植株10 cm>距植株20 cm; 而在10-30 cm层次, 根长密度表现为距植株10 cm>株上>距植株20 cm, 30-50 cm土层株上位置的根长密度最小, 50 cm以下各位置根长密度差异不明显。对于玉米根系取样, 50 cm以上土层需要考虑根长密度的空间差异, 50 cm以下土层可不考虑。采用Gerwitz和Page模型, 结合华北平原机械化耕作下形成的土壤犁底层变厚及其犁底层容重增加对根系分布的影响, 在模型中加入土壤容重参数订正可以使模型更准确地模拟根长密度在土壤剖面的分布。     

Gravitropic response growth angle and vertical distribution of roots of wheat (Triticum aestivum L.)

Recent work on root distribution, growth angles and gravitropic responses in Japanese cultivars of winter wheat are reviewed. Vertical distribution of roots, which influences the environmental stress tolerance of plants, was observed in the 12 Japanese cultivars in the field. The root depth index (RDI: the depth at which 50% of the root length has been reached) differed among the cultivars at the stem elongation stage. Since the RDI was closely related to the growth angle of seminal roots obtained in a pot experiment, it was assumed that growth angle is useful for predicting vertical root distribution among wheat genotypes. Gravitropic responses of the primary seminal root of 133 Japanese wheat cultivars assessed by measuring the growth angle in agar medium, were larger in the northern Japanese cultivars and smaller in the southern ones. It was also found that the geographical variation resulted from the wheat breeding process, i.e. genotypes with limited gravitropic responses of roots had been selected in the southern part of Japan where excessive soil moisture is one of the most serious problems.     

根修剪对黄土旱塬冬小麦(Triticum aestivum)根系分布、根系效率及产量形成的影响

通过田间试验研究了不同时期根修剪处理对冬小麦（Triticum aestivum）根系大小与分布、根系效率、水分利用效率及产量形成的影响。设置4个根修剪处理：越冬期小剪根（WS）、越冬期大剪根（WB）,返青期小剪根（GS）、返青期大剪根（GB）,未剪根小麦作为对照（CK）。结果表明,到花期时,各根修剪处理小麦的在0～120cm总根量均显著小于对照。与对照相比各根修剪处理主要是显著地减少了上层土壤中的根量。但WS和GS两小剪根处理和对照相比在中层土壤中有较大的根量;花后各处理小麦旗叶的气孔导度和蒸腾速率均显著大于对照。这说明根修剪处理减少了小麦表层的根量,从而削弱了表土干旱信号对作物与外界气体交换的抑制作用。花期时各根修剪小麦的净光合速率均显著高于对照,而单位面积上的根呼吸速率均显著小于对照,根修剪处理提高了小麦的根系效率,使更多的光合产物用于籽粒生产,从而提高了小麦的收获指数。根修剪还提高了小麦的水分利用效率,其中WS、WB、GS处理的水分利用效率显著高于对照。但是GB处理的水分利用效率却没有显著提高。因此,本研究进一步证明了由不同年代品种得到的推测,认为在旱地农业中,通过遗传育种或采用适当农艺措施优化根系分布,既可以减少生长前期作物对水分的过度消耗,又能够削弱花后表土过度干旱对作物生长抑制作用,同时降低根系对同化产物的消耗,对作物产量及水分利用效率的提高具有积极的作用。     

不同耕作方式对陇中旱农区春小麦和豌豆根系空间分布及产量的影响

依托陇中旱农区长期的保护性耕作定位试验,对不同耕作方式下春小麦和豌豆根系空间分布特征及作物产量进行研究,以探索耕作措施影响作物产量的机制.结果表明: 随着生育期的推进,春小麦和豌豆的总根长、根表面积呈先增后减的趋势,开花期达到最大;春小麦根系苗期以0～10 cm最多,花期、成熟期10～30 cm最多;而豌豆根系苗期和成熟期均以0～10 cm最多,花期10～30 cm最多.免耕秸秆覆盖和免耕覆膜增加了根长和根表面积,春小麦和豌豆各生育时期的根长较传统耕作增加了35.9%～92.6%,根表面积增加了43.2%～162.4%.免耕秸秆覆盖和免耕覆膜优化了春小麦和豌豆根系分布,与传统耕作相比,增加了春小麦和豌豆苗期0～10 cm土层根长和根表面积分布比例,花期和成熟期深层次根系分布也显著增加,免耕秸秆覆盖在开花期30～80 cm土层根长和根表面积的分布比例分别比传统耕作提高了3.3%和9.7%.春小麦各生育期的总根长、根表面积与产量呈显著正相关,豌豆各生育期的总根长与豌豆产量呈极显著正相关.免耕秸秆覆盖和免耕覆膜较传统耕作春小麦和豌豆产量增加23.4%～38.7%,水分利用效率提高了13.7%～28.5%.在陇中旱农区,免耕秸秆覆盖和免耕覆膜可以增加作物根长和根表面积,优化了根系在土壤中的空间分布,增强作物根层吸收能力,从而提高作物产量和水分高效利用.     

种植密度对冬小麦根系时空分布和氮素利用效率的影响

在大田条件下,以大穗型品种泰农18和中穗型品种山农15为材料,研究不同种植密度(泰农18:每公顷135、270、405万株;山农15:每公顷172.5、345、517.5万株)对冬小麦根系时空分布和氮素利用效率的影响.结果表明:在整个生育期,随种植密度的增加,泰农18的根长密度、根系总吸收面积和活跃吸收面积均显著增加;在生育后期,山农15的根长密度、根系总吸收面积和活跃吸收面积在种植密度为每公顷345万株时最大.泰农18的籽粒产量、氮肥吸收利用效率、氮肥偏生产力和氮素利用效率在种植密度为每公顷405万株时最高,山农15在种植密度为每公顷345万株时最高,但与种植密度为每公顷517.5万株的处理差异不显著.随种植密度的增加,冬小麦成熟期土壤硝态氮、铵态氮和无机态氮在不同土层的积累量均降低.泰农18和山农15种植密度分别为每公顷405万株和345万株时,是兼顾高产和高效利用氮素的适宜种植密度.