旱稻水分利用率与碳同位素识别值之间的关系

通过温室盆栽试验 ,分析和探讨了三个水平的土壤水分条件对分蘖期和成熟期收获的旱稻(OryzasativaL .)生物量累积、水分利用率 (WUE)、植株不同部位的碳同位素识别值 (CID)的影响 ,并了解了它们之间的相互关系。水分条件包括 :饱和含水量 (W1 )、饱和含水量的 70 %(W2 )、饱和含水量的 4 0 %(W3)。结果表明当土壤水分条件从W1降低到W2时 ,分蘖期收获的生物量降低 4 5 %左右 ,成熟期收获的生物量降低 1 6 %～ 1 9%;而当从W1降低到W3时 ,分蘖期收获的生物量降低 73%左右 ,成熟期收获的生物量降低 5 5 %～ 5 7%。然而 ,根据地上部干重计算而来的WUE(WUE 地上部 )和根据全株干重计算而来的WUE(WUE 全株 )则随土壤含水量的降低而增加 ,其增幅在分蘖期为 0 .0 7～ 0 .2 8gkg-1 ,在成熟期为 0 .0 7～ 0 .4 5gkg-1 。植株的CID值变幅为 1 7.0～ 2 0 .6 ,但植株不同部位间差别显著 ,分蘖期收获的样品CID值从小到大的顺序为 :根 <最近完全伸展叶 <叶芽 <茎秆 ;而成熟期收获的样品CID值从小到大的顺序为 :籽粒 <根 <茎秆 <旗叶。随着土壤含水量的降低 ,植株所有部位的CID值亦显著减小。叶部的CID值与WUE 地上部(和WUE 全株 )之间呈一致的负相关关系。     

适宜节水灌溉模式抑制寒地稻田N_2O排放增加水稻产量

2014年在大田试验条件下,设置控制灌溉、间歇灌溉、浅湿灌溉及淹灌4种水分管理模式,采用静态暗箱-气相色谱法田间观测寒地水稻生长季N2O排放特征,研究不同灌溉模式对寒地稻田N2O排放的影响及N2O排放对土壤环境要素的响应,同时测定水稻产量,以期为寒地稻田N2O排放特征研究提供对策。结果表明:不同灌溉模式下N2O排放的高峰均出现在水分交替频繁阶段,水稻生育阶段前期,各处理N2O排放都处于较低水平,泡田期几乎无N2O排放。与淹灌相比,间歇灌溉使N2O排放总量增加47.3%,控制灌溉和浅湿灌溉使N2O排放总量减少40.7%和39.6%。寒地稻田N2O排放通量与土壤硝态氮含量关系密切,与土壤10 cm温度显著相关(P0.05)。水稻生长期间各处理N2O排放顺序间歇灌溉淹灌,二者均显著高于浅湿灌溉和控制灌溉(P0.05)。各处理水稻产量以浅湿灌溉最低、其他方式差异不显著。可见,间歇灌溉有助于提高水稻产量,但会促进稻田N2O的排放。在综合考虑水稻产量及稻田温室效应的需求下,控制灌溉为最佳灌溉方式,应予以高度重视。该研究可为黑龙江寒地稻作区选择节水减排模式提供科学支撑。     

西南地区水稻洪涝等级评价指标构建及风险分析

构建水稻洪涝灾害等级评价指标体系,评估水稻洪涝致灾风险,对开展水稻洪涝防灾减灾、灾害保险意义重大。以西南地区一季稻为研究对象,利用气象资料、水稻灾情史料和生育期资料,在水稻洪涝灾害反演的基础上,构建水稻洪涝灾害样本过程雨量序列。基于Kolmogorov-Smirnov(K-S)分布拟合检验,采用置信区间下限值确定阈值的方法,构建水稻洪涝等级评价指标,并采用预留独立水稻洪涝灾害样本进行检验验证。在此基础上,计算西南地区各站点洪涝致灾风险指数。结果表明:水稻洪涝灾害的过程降水强度为抽穗成熟期拔节孕穗期移栽分蘖期;构建的西南地区水稻洪涝等级指标能较好地反映水稻洪涝实际受灾程度,指标验证完全一致的吻合率为66.7%,完全一致及相差1级的吻合率为100%。水稻洪涝灾害风险移栽分蘖期拔节孕穗期抽穗成熟期,高风险区域主要位于云南南部和东北部、贵州南部、以及四川中部的成都、眉山和德阳地区。     

Role of Salicylic Acid in Alleviating Cadmium Toxicity in Rice Roots

In order to understand how salicylic acid (SA) is involved in modulating rice responses to cadmium (Cd) toxicity, particularly in Cd immobilization, a series of hydroponic experiments were conducted to examine changes in cell wall composition, activities of the enzymes related to lignin synthesis including phenylalanine ammonia-lyase (PAL), peroxidase (POD), and polyphenol oxidase (PPO), subcellular Cd distribution, levels of hydrogen peroxide (H₂O₂), malondialdehyde (MDA), and lignin and non-protein thiols (NPT) in rice roots under Cd stress with or without the pretreatment of SA. Results showed that Cd treatment decreased root biomass by 40% compared with the control (no Cd treatment) and pretreatment with SA significantly mitigated the Cd-induced inhibition of root growth. There was no significant difference in root cell wall composition or lignification between the treatment with Cd alone and the treatment with Cd with SA. No effects were observed for SA pretreatment on the activities of PAL, POD, or PPO under Cd stress. Furthermore, soluble Cd concentrations in root cells were significantly higher in the treatment with Cd with SA than in the treatment with Cd alone. However, H₂O₂ and MDA concentrations in rice roots were significantly lower but NPT levels were higher in the treatment with Cd with SA than in the treatment with Cd alone, which indicated that SA alleviated Cd-induced oxidative damage. It seems to suggest that SA-mediated enhancement of Cd tolerance was not due to enhanced Cd retention in the cell wall but to enhanced Cd bindings with thiols (─SH) group. The effects of SA-enhanced Cd tolerance were discussed with regard to H₂O₂ signaling pathways.     

Dual origin of the cultivated rice based on molecular markers of newly collected annual and perennial strains of wild rice species, Oryza nivara and O. rufipogon

The direct ancestor of rice (Oryza sativa L.) is believed to be AA genome wild relatives of rice in Asia. However, the AA genome wild relatives involve both annual and perennial forms. The distribution of the retrotransposon p-SINE1-r2, a short interspersed nuclear element (SINE) at the waxy locus was analyzed in diverse accessions of the AA genome wild relatives of rice (O. rufipogon sensu lato). Most annual wild rice accessions had this retrotransposon, while most perennial types lacked this element, contradicting results to the previous studies. Results presented here suggest that O. sativa has dual origin that lead to indica-japonica differentiation. Results suggest the indica line of rice varieties evolved from the annual genepool of AA genome and the japonica varieties from the perennial genepool of AA genome wild rice.     

再生稻根干物质量及根系活力与产量的相关性研究

对不同施N水平、不同品种再生稻根干物质量及根系活力与产量的相关性研究结果表明 ,再生稻头季稻产量与根系干物质量及根系活力密切相关 ;再生稻再生分蘖的生长发育依赖于头季稻残留的根系 ,再生季稻穗数及产量与头季稻成熟期和再生季稻齐穗期的根系机能呈极显著线性正相关 ,并与芽肥施用量呈抛物线形相关     

Evidence of N<Subscript>2</Subscript>O emission and gaseous nitrogen losses through nitrification-denitrification induced by rice plants (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.)

A greenhouse experiment was conducted with a specially designed apparatus consisting of an upper and lower chamber where the treatment with rice was carried out (treatment 1). The apparatus also had a single chamber where treatment 2, without rice plants, was carried out. The scope of this study was to elucidate the influence of rice plant growth on gaseous N losses as N₂ and N₂O produced by nitrification-denitrification in a flooded soil fertilized with (NH₄)₂SO₄ (with 56.50 atom% ¹⁵N). Gas samples were withdrawn weekly and analyzed for (N₂ + N₂O)-¹⁵N losses by mass spectrometer and for N₂O by gas chromatograph. The gaseous (N₂ + N₂O)-¹⁵N losses of the treatment with rice plants were significantly (P =0.01) higher than those of the treatment without rice plants, as were the amounts of N₂O emitted. Rice plants facilitate the efflux of N₂ and N₂O from soil to atmosphere, as about half of the total gaseous ¹⁵N loss as N₂ and N₂O was found in the upper chamber. The proportion of N₂O-¹⁵N to (N₂ + N₂O)-¹⁵N in the upper chamber was 10.56%, much higher than that of the lower chamber in treatment 1 and the headspace of treatment 2.     

磁化水灌溉促进水稻生长发育提高产量和品质

为明确磁化水灌溉对水稻生长发育、产量形成和品质的影响及其机理,该研究以杂交籼稻中浙优1号和杂交粳稻甬优9号为试验品种,于2012-2013年进行了磁化水(F型变频磁化水处理器的磁场强度为0.2 T)和普通水(CK)灌溉大田试验。结果表明,与CK相比,磁化水灌溉显著增加水稻的有效穗(增幅4.0%~7.9%)、结实率(3.9%~8.7%)和产量(增幅5.2%~9.3%)。2013年,磁化水灌溉提高了水稻的低位分蘖发生率(增幅9.4%~21.5%),增加了孕穗期、灌浆期倒三叶的SPAD值(增幅2.4%~7.8%)和干物质积累量(增幅8.7%~18.8%);磁化水灌溉显著改善稻米品质,中浙优1号和甬优9号的的垩白粒率分别降低了13.3%和12.0%,垩白度分别降低了11.4%和7.7%,胶稠度分别提高了6.0和4.0 mm,碱消值提高了4.3%和4.8%。该结果为磁化水在水稻生产上的大面积应用提供了科学依据。     

Ratios of Nutrients in Lowland Rice Grown on Two Iron Toxic Soils in Nigeria

ABSTRACT

Iron (Fe) toxicity is a widespread nutritional soil constraint affecting rice production in the wetland soils of West Africa. Critical levels of total iron in plant causing toxicity is difficult to determine as different rice cultivars respond to excessive Fe^{2 +} in various ways in what is called “bronzing” or “yellowing” symptoms (VBS). An investigation was conducted to evaluate the relationship between plant growth and nutrient ratios at four iron levels (1000, 3000, 4000 μ g L^?1) and control. This involved two rice cultivars (‘ITA 212’ and ‘Suakoko 8’), and two soil types (Aeric Fluvaquent and Aeric Tropaquept). The experimental design was a 2 × 2 × 4 factorial in a completely randomized fashion with four replications. The results showed that nutrient ratios [phosphorus (P)/Fe, potassium (K)/Fe, calcium (Ca)/Fe, magnesium (Mg)/Fe, and manganese (Mn)/Fe), Fe content, and Fe uptake vary widely with the iron levels as well as with the age of the cultivars. The iron toxicity scores expressed as VBS increased with increasing Fe^{2 +} in the soils, resulting in simultaneous reduction of the following variables: plant height, tiller numbers/pot, relationships grain yield (GY) and dry matter yield (DMY). There were no significant difference between nutrient ratios, Fe contents, Fe uptake, the GY and DMY of both rice cultivars on both soil types. Multiple stepwise regression analysis showed that Fe uptake and Fe contents contributed 42% and 17% respectively to the variation in the grain yield of ‘ITA 212’ on Aeric Tropaquept. On both soil types and cultivars, Fe uptake and Fe content contributed between 26 and 68% to the variation in the DMY, while the nutrient ratios (P/Fe, K/Fe, Ca/Fe, and Mn/Fe) contributed between 3% and 13% DMY. Thus, it could be concluded that iron toxicity in rice is more a function of a single nutrient (Fe) rather than nutrient ratios.