Growth direction of nodal roots in rice: its variation and contribution to root system formation

The root system of a rice plant (Oryza sativa L.) consists of numerous nodal roots and their laterals. The growth direction of these nodal roots affects the spatial distribution of the root system in soil, which seems to relate to yield and lodging resistance. The growth angle of a nodal root varies with the type and timing of emergence of the nodal root. The body of a rice plant can be recognized as an integrated set of shoot units, each unit consisting of an internode with a leaf and several roots. Nodal roots formed at the apical part of a shoot unit often elongate horizontally, whereas those formed at the basal part of the shoot unit show various growth directions depending on both the growth stages of the plant and the environmental conditions. Moreover, nodal roots that emerge from the most basal shoot unit of a tiller are usually thick and grow downwards. External factors such as planting density and nitrogen application affect the growth direction of nodal roots, probably partly because of the changing tillering pattern of the shoot. In addition to the growth angle of nodal roots, size of nodal roots may be another important factor determining the spatial distribution of the root system in soil.     

Seasonal variation in methane flux from rice paddies associated with methane concentration in soil water,rice biomass and temperature,and its modelling

To attempt to develop physicochemical and physiological modelling for methane transport from the rhizosphere to the atmosphere through rice plants, methane flux, methane concentration in the soil water, and the biomass of rice were measured in lysimeter rice paddies (2.5 × 4 m, depth 2.0 m) once per week throughout the entire growing season in 1992 at Tsukuba, Japan. The addition of exogenous organic matter (rice straw) or soil amendments with the presence or absence of vegetation were also examined for their influence on methane emissions. The total methane emission over the growing season varied from 3.2 g CH₄ m^-2 y^-1 without the addition of rice straw to 49.7 g CH₄ m^-2 y^-1 with rice straw and microbiological amendment. In the unvegetated plot with the addition of rice straw, there was much ebullition of gas bubbles, particularly in the summer. The annual methane emission due to the ebullition of gas bubbles,from the unvegetated plot with the addition of rice straw was estimated to be almost the same as that from the vegetated site with the addition of rice straw. In the early growth stage, the methane flux can be analyzed by the diffusion model (Flux=Methane concentration × Conductance of rice body) using parameters for methane concentration in the soil water as a difference in concentration between the atmosphere and the rhizosphere, and for the biomass of rice as a conductance of rice body. On the other hand, although the diffusion model was inapplicable to a large extent from the middle to late growth stage, methane flux could be estimated by air temperature and concentration in the soil water. Thus, methane transport from the rhizosphere to the atmosphere through rice plants consisted of two phases: one was an explainable small part by diffusion in rice body; the other was a large part strongly, governed by air temperature. The existence of gas bubbles in the soil may be related to the transition between the two phases     

紫云英还田对黄泥田土壤理化和微生物特性及水稻产量的影响

为探明紫云英连年还田化肥减施单季稻田土壤性质及水稻产量的变化规律,依托位于福建省东部12年黄泥田紫云英-单季稻轮作定位试验,研究了不施肥（C₀）、单施化肥（C₁₀₀）、紫云英还田（M）、紫云英还田+全量化肥（MC₁₀₀）及紫云英还田+减量20%化肥（MC₈₀）处理的土壤理化性状、微生物群落结构和功能及稻谷产量的变化。结果表明：C₁₀₀、M、MC₁₀₀、MC₈₀处理土壤有机碳含量比C₀分别提高6.97%、15.05%、10.38%、11.15%,全氮分别提高9.52%、18.25%、15.87%、15.87%,硝态氮分别提高6.51%、69.52%、66.87%、78.19%（P < 0.05）。冗余分析表明,土壤有机碳、全氮、硝态氮含量对细菌和古菌群落结构和功能有显著的影响。与C₀相比,C₁₀₀、M、MC₁₀₀和MC₈₀处理土壤慢生根瘤菌属（Bradyrhizobium）丰度分别增加0.52%、24.30%、7.59%、11.93%,其中M处理增加达显著水平（P<0.05）;分枝杆菌属（Mycobacterium）分别增加5.51%、21.58%、10.00%、14.74%,其中M处理增加显著（P<0.05）;亚硝化杆菌属（Candidatus_Nitrosotalea）分别增加22.93%、17.21%、65.39%、89.89%,其中MC₁₀₀和MC₈₀处理增加均达显著水平（P<0.05）。相比C₀,M、MC₁₀₀和MC₈₀处理土壤链霉菌属（Streptomyces）分别增加6.76%、16.89%、12.16%,其中MC₁₀₀处理增加显著（P < 0.05）,而C₁₀₀却减少2.50%。物种贡献度分析发现,土壤碳代谢和氨基酸合成的主要功能微生物为细菌慢生根瘤菌属（Bradyrhizobium）、分枝杆菌属（Mycobacterium）、链霉菌属（Streptomyces）和古菌亚硝化杆菌属（Candidatus_Nitrosotalea）。M、MC₁₀₀、MC₈₀处理稻谷产量比C₀分别增加9.68%、19.16%、18.72%。阐明紫云英培肥处理能提升单季稻黄泥田土壤肥力水平,调节土壤微生物群落结构,促进土壤碳水化合物和氨基酸代谢。     

稻田土壤－作物－家畜系统中氮的循环研究

本文用Ｎ＾１５标记水稻和绿肥研究了稻田土壤－作物－家畜系统中氮的循环。Ｎ＾１５标记稻草喂羊,羊体回收饲料稻草Ｎ３１．１６％,羊粪２８．２６％,羊尿５．７２％,总回收６５．１４％,损失３４．８６％。将羊粪尿单施,稻谷回收饲料稻草Ｎ３．１９％,水稻全株回收４．８２％,水稻全株回收４．８２％,土壤残留１９．００％,损失１０．１４％。故羊体,水稻及土壤残留共回收饲料稻草Ｎ５４．９８％。将羊粪与尿素配施,则     

Soil organic carbon stocks in China and changes from 1980s to 2000s

The estimation of the size and changes of soil organic carbon (SOC) stocks is of great importance for decision makers to adopt proper measures to protect soils and to develop strategies for mitigation of greenhouse gases. In this paper, soil data from the Second State Soil Survey of China (SSSSC) conducted in the early 1980s and data published in the last 5 years were used to estimate the size of SOC stocks over the whole profile and their changes in China in last 20 years. Soils were identified as paddy, upland, forest, grassland or waste‐land soils and an improved soil bulk density estimation method was used to estimate missing bulk density data. In the early 1980s, total SOC stocks were estimated at 89.61 Pg (1 Pg=10³ Tg=10¹⁵ g) in China's 870.94 Mha terrestrial areas covered by 2473 soil series. In the paddy, upland, forest and grassland soils the respective total SOC stocks were 2.91 Pg on 29.87 Mha, 10.07 Pg on 125.89 Mha, 34.23 Pg on 249.32 Mha and 37.71 Pg on 278.51 Mha, respectively. The SOC density of the surface layer ranged from 3.5 Mg ha⁻¹ in Gray Desery grassland soils to 252.6 Mg ha⁻¹ in Mountain Meadow forest soils. The average area‐weighted total SOC density in paddy soils (97.6 Mg ha⁻¹) was higher than that in upland soils (80 Mg ha⁻¹). Soils under forest (137.3 Mg ha⁻¹) had a similar average area‐weighted total SOC density as those under grassland (135.4 Mg ha⁻¹). The annual estimated SOC accumulation rates in farmland and forest soils in the last 20 years were 23.61 and 11.72 Tg, respectively, leading to increases of 0.472 and 0.234 Pg SOC in farmland and forest areas, respectively. In contrast, SOC under grassland declined by 3.56 Pg due to the grassland degradation over this period. The resulting estimated net SOC loss in China's soils over the last 20 years was 2.86 Pg. The documented SOC accumulation in farmland and forest soils could thus not compensate for the loss of SOC in grassland soils in the last 20 years. There were, however, large regional differences: Soils in China's South and Eastern parts acted mainly as C sinks, increasing their average topsoil SOC by 132 and 145 Tg, respectively. In contrast, in the Northwest, Northeast, Inner Mongolia and Tibet significant losses of 1.38, 0.21, 0.49 and 1.01 Pg of SOC, respectively, were estimated over the last 20 years. These results highlight the importance to take measures to protect grassland and to improve management practices to increase C sequestration in farmland and forest soils.     

UV-B辐射增强对元阳哈尼梯田稻田CH4排放规律的影响

在大田条件下,原位种植传统水稻品种白脚老粳,采用静态箱-气相色谱法研究了UV-B(ultraviolet-B)辐射增强(7.5 kJ m-2d-1)对元阳哈尼梯田海拔1600 m处稻田CH4排放量的影响,同时观测UV-B辐射增强对水稻生长的影响。结果表明:(1)UV-B辐射增强显著降低了水稻植株分蘖末期、拔节孕穗期、抽穗扬花期、成熟期地上部和地下部生物量(P0.05)。(2)UV-B辐射改变了稻田CH4的季节和日排放(成熟期)规律:对照组在拔节孕穗期出现1个排放峰,处理组在拔节孕穗期和成熟期出现2个排放峰;与对照相比,UV-B辐射增强改变了水稻成熟期CH4日排放第2个峰值出现的时间。(3)处理组CH4的季节排放通量与箱内温度的季节变化有显著的正相关性(R=0.789,P0.05)。(4)UV-B辐射增强在分蘖末期、拔节孕穗期、成熟期都极显著提高了CH4的累计排放量(P0.01),分别提高了47.2%,293.8%和74.4%。总之,UV-B辐射增强促进了元阳哈尼梯田传统水稻田CH4的排放。     

稻田水生昆虫的采样技术方法与应用

稻田水生昆虫在稻田生态系统功能实现中发挥着重要的作用。本文基于作者对稻田生态系统中水生昆虫多样性研究,系统地介绍了稻田水生昆虫的生态位分布、定量研究与定性研究的采集技术方法与流程,为更好地开展稻田水生昆虫研究提供技术支撑。     

福建冷浸田土壤质量评价因子的最小数据集

江南山区中低产冷浸田分布广泛,其改良利用对促进粮食增产意义重大.本研究通过比较福建省17对典型冷浸田与同一微地貌单元内非冷浸田表层土壤的41项物理、化学与生物指标,系统分析了冷浸田与非冷浸田之间各指标差异及其产生的原因,并利用主成分分析等方法构建冷浸田土壤质量评价因子最小数据集.结果表明:与非冷浸田相比,冷浸田土壤总有机质高31.7％,表征活性有机质的微生物生物量C降低37.8％;Fe2+高177.0％,速效磷、钾分别降低52.3％和22.8％;过氧化氢酶和转化酶分别高58.3％和22.1％,磷酸酶、硝酸还原酶分别降低47.8％和66.6％,微生物区系数量降低29.8％～46.0％;物理性砂粒含量高8.0％,浸水容重降低25.8％.冷浸田与非冷浸田之间表土有28项属性指标呈现显著差异.用因子分析方法从28项有显著差异的指标中归纳出累计贡献率达78.5％并能分别反映土壤生化、活性有机N、还原性障碍、物理与化学养分特征的5个主成分,结合相关分析模型和专家经验法建立了包括C/N、细菌、微生物生物量N、还原性物质总量、物理性砂粒、全磷6项因子的冷浸田土壤质量评价因子最小数据集.     

长期施肥对稻田土壤细菌、古菌多样性和群落结构的影响

稻田土壤是“迷失碳”的重要吸纳场所之一,也是温室气体(CH4和N2O等)的重要排放源.大气温室气体的动态变化与土壤碳氮转化的微生物过程紧密相关.以湖南桃江国家级稻田肥力变化长期定位试验点为平台,采用PCR-克隆测序和实时荧光定量PCR技术,研究不施肥(CK)、施氮磷钾肥(NPK)和氮磷钾肥+秸秆还田(NPKS)3种长期施肥制度(＞25 a)对稻田土壤细菌和古菌群落结构及数量的影响.细菌和古菌16S rRNA基因文库分析结果表明:稻田土壤细菌主要类群为变形菌、酸杆菌、绿弯菌,而古菌主要为泉古菌和广古菌.长期施肥导致土壤细菌和古菌种群结构产生明显差异,与CK相比,NPK和NPKS处理稻田土壤的变形菌、酸杆菌和泉古菌相对丰度增加.LIBSHUFF软件分析结果也表明,16S rRNA基因文库在CK、NPK及NPKS处理间存在显著差异.3种施肥处理的稻田土壤细菌16S rRNA基因拷贝数为每克干土0.58× 1010～1.06×1010个,古菌为每克干土1.16×106 ～ 1.72×106个.施肥(NPK和NPKS)后,细菌和古菌的多样性和数量增加,且NPKS＞NPK.说明长期施肥显著影响土壤细菌和古菌群落结构、多样性及数量.     

The carbon count of 2000 years of rice cultivation

More than 50% of the world's population feeds on rice. Soils used for rice production are mostly managed under submerged conditions (paddy soils). This management, which favors carbon sequestration, potentially decouples surface from subsurface carbon cycling. The objective of this study was to elucidate the long‐term rates of carbon accrual in surface and subsurface soil horizons relative to those of soils under nonpaddy management. We assessed changes in total soil organic as well as of inorganic carbon stocks along a 2000‐year chronosequence of soils under paddy and adjacent nonpaddy management in the Yangtze delta, China. The initial organic carbon accumulation phase lasts much longer and is more intensive than previously assumed, e.g., by the Intergovernmental Panel on Climate Change (IPCC). Paddy topsoils accumulated 170–178 kg organic carbon ha^?1 a^?1 in the first 300 years; subsoils lost 29–84 kg organic carbon ha^?1 a^?1 during this period of time. Subsoil carbon losses were largest during the first 50 years after land embankment and again large beyond 700 years of cultivation, due to inorganic carbonate weathering and the lack of organic carbon replenishment. Carbon losses in subsoils may therefore offset soil carbon gains or losses in the surface soils. We strongly recommend including subsoils into global carbon accounting schemes, particularly for paddy fields.