未来气候变化对福建省水稻产量影响的模拟

为了科学评价未来气候变化对福建省水稻产量的影响,将福建省划分为3个稻区,选取66个样点,7个代表性品种,以及2种典型浓度路径(中端稳定路径RCP4.5和高端路径RCP8.5),利用BCC_CSM(Beijing Climate Center Climate System Model)气候模式,基于这2种典型浓度路径情景RCP(Representative Concentration Pathway)下的气候预估结果,结合作物生长模型CERES-Rice,分雨养与灌溉两种情形,模拟分析气候变化对水稻生产的影响。结果表明:未来气候变化情景下福建省各站点水稻生育期将明显缩短,生育期内平均温度均有所升高;不考虑CO2肥效作用时,无论早稻、后季稻、单季稻,其产量相对于基准年份均普遍减产,减产幅度不超过12%,其中雨养水稻的减产幅度略高于灌溉水稻;不同情景下水稻产量变化也有所差别,其中RCP8.5情景下水稻的减产幅度明显大于RCP4.5情景;而在考虑CO2肥效作用时,模拟结果比较乐观,各研究站点普遍表现为增产,最大增产幅度可达15.2%。     

长江中下游地区水稻孕穗开花期高温发生规律及其对产量的影响

以长江中下游平原7个省(市)的19个地区作为样点,统计分析了各样点近36年(1970—2005年)水稻始穗前15d至始穗后20d内日最高气温≥35℃的时空分布特点;并根据全球气候渐变模型GISS GCM Transient B Runs生成的研究区域2030、2050年的气候渐变情景,分析了该地区未来水稻孕穗开花期≥35℃高温逆境的时空演变趋势。结果表明:近36年来长江中下游的早稻孕穗开花期出现高温日数的上升趋势显著,未来气候情景下水稻逆境指标出现日数最多的是单季稻,其次依次为早稻、后季稻;双季稻种植区,在未来气候变化中,长江中游地区温度逆境出现日数将大于下游地区。研究区域水稻气候产量的增减与该地区水稻逆境指标的关系说明,高温导致的颖花败育是水稻减产的重要原因;未来气候变化的两种(2030、2050)情景下,长江中游地区的减产幅度大于长江下游地区,减产幅度最大的是长江中游地区的后季稻。     

增温和降水变化对西北半干旱区春小麦产量和品质的影响

为了明确未来气候变化对半干旱区春小麦产量和品质的影响,本研究选择典型半干旱区定西试验基地,利用开放式红外增温模拟系统和水分控制装置设置不同降水量(减少20%、不变、增加20%)和温度梯度[大气温度(对照)、增加1.0℃、增加2.0℃、增加3.0℃],模拟气候变化对春小麦生长发育、产量及其构成因素和品质的影响.结果表明:当增温幅度小于2℃时,降水变化对春小麦穗粒数影响不显著;当增温为3℃时,降水减少显著减少穗粒数,降水增加显著增加穗粒数.随着气温升高,降水减少对春小麦千粒重的负效应增大,春小麦不孕小穗数与气温呈二次曲线上升.降水减少20%条件下,增温1、2和3℃的春小麦产量分别下降12.1%、24.7%、42.7%;降水不变条件下,春小麦产量分别下降8.4%、15.1%、21.8%;降水增加20%条件下,春小麦产量分别下降9.0%、15.5%、22.2%.春小麦籽粒淀粉含量随温度的增加而下降,籽粒蛋白质含量随温度的增加而上升.增温2℃有利于蚜虫暴发,但增温3℃抑制蚜虫暴发;春小麦锈病发病率随着温度增加而上升.     

气候变化对松嫩平原水稻灌溉需水量的影响

以水稻为研究对象,选取松嫩平原20个国家气象台站和国家气象中心提供的格点气象数据,采用作物系数法和Mc Cloud模型及P-M模型估算水稻需水量,应用水量平衡模型估算水稻灌溉需水量,分析水稻生育期内需水量变化规律.结果表明:历史时期和气候变化情景下,松嫩平原水稻全生育期和生育中期(Lmid时段)灌溉需水量等值线沿西南-东北方向递减,同一灌溉需水量等值线北移.历史时期和气候变化情景下水稻全生育期灌溉需水量随年代呈波动增加趋势,其中前者以44.2 mm·10 a-1速度增加,后者以19.9 mm·10 a-1速度增加.历史时期和气候变化情景下Lmid时段水稻灌溉需水量随年代均呈波动增加趋势,其中前者显著增加,后者增加不显著.气候变化情景对水稻需水量的贡献率为波动上升,与1970s相比,2000s气候变化对水稻需水量的贡献率为23.6%,增加14.8×108m3灌溉水量;2040s气候变化对水稻需水量的贡献率为34.4%,增加21.2×108m3灌溉水量.     

1956-1998年间中纬度近海与内陆城市年气温与热岛效应的变化趋势

选取纬度相近、发展规模类似的近海（济南）与内陆（西安）城市为研究对象,对比分析了1956—1998年间济南和西安气温与热岛效应的变化趋势.结果表明：1956—1978年间,除济南年均最低气温以0.37 ℃·10 a^-1的速率上升外,2个城市的气温指标均无明显变化趋势;1979—1998年间,2个城市则表现出显著的增温趋势,其中西安年均最高气温和年均气温的增加速率大于济南,济南年均最低气温的增加速率大于西安.1956—1978年间,2个城市均存在城市热岛效应但无显著增加趋势,1979—1998年间的热岛效应明显强化,以西安在年均气温（0.22 ℃·10 a^-1）和年均最低气温（0.32 ℃·10 a^-1）上表现的热岛效应的增加趋势更为明显.济南热岛效应强度和年际波动均大于西安,但其增加速率却小于西安.济南年均最高气温、年均气温和年均最低气温的增温速率和热岛效应强度明显不同,西安则较接近.3个气温指标中以年均最低气温的增加趋势最明显,同时对热岛效应的响应最显著,年均最高气温的波动性最大.地理位置不但影响城市增温的幅度,而且也深刻影响着城市增温的形式与热岛效应强度.     

1956—1998年间中纬度近海与内陆城市年气温与热岛效应的变化趋势

选取纬度相近、发展规模类似的近海（济南）与内陆（西安）城市为研究对象,对比分析了1956—1998年间济南和西安气温与热岛效应的变化趋势.结果表明：1956—1978年间,除济南年均最低气温以0.37 ℃·10 a^-1的速率上升外,2个城市的气温指标均无明显变化趋势;1979—1998年间,2个城市则表现出显著的增温趋势,其中西安年均最高气温和年均气温的增加速率大于济南,济南年均最低气温的增加速率大于西安.1956—1978年间,2个城市均存在城市热岛效应但无显著增加趋势,1979—1998年间的热岛效应明显强化,以西安在年均气温（0.22 ℃·10 a^-1）和年均最低气温（0.32 ℃·10 a^-1）上表现的热岛效应的增加趋势更为明显.济南热岛效应强度和年际波动均大于西安,但其增加速率却小于西安.济南年均最高气温、年均气温和年均最低气温的增温速率和热岛效应强度明显不同,西安则较接近.3个气温指标中以年均最低气温的增加趋势最明显,同时对热岛效应的响应最显著,年均最高气温的波动性最大.地理位置不但影响城市增温的幅度,而且也深刻影响着城市增温的形式与热岛效应强度.     

西北干旱区不同海拔高度地区气温变化对春小麦生长的影响

基于1981—2006年西北干旱区高海拔地（民乐站）和低海拔地（张掖站）农业气象观测站的观测资料,对民乐站和张掖站的气温变化及其对春小麦生长发育和产量的影响进行了研究.结果表明：研究期间,民乐站、张掖站的气温均呈增加趋势,且高海拔地区的增温幅度大于低海拔地区;民乐站春小麦对气温变暖的响〖JP2〗应表现为生育期缩短、产量增加,张掖站春小麦对气温变暖的响应表现为生育期缩短、产量下降;春小麦生育期内日均气温每升高1 ℃,民乐站和张掖站春小麦生育期分别缩短8.3 d和3.8 d.民乐站春小麦生育期内最高气温低于30.4 ℃时,春小麦生育期和产量均小幅增加,当超过30.4 ℃时,春小麦生育期缩短、产量下降.     

1954—2005年中国北方针叶林分布区的气候变化特征

基于中国北方针叶林(兴安落叶松林)分布区8个气象观测站的气象资料,分析了1954—2005年气温和降水的变化特征.结果表明：研究期间,中国北方针叶林分布区的气温以0.38 ℃·(10 a)^-1的速度上升,远大于全球近50年来0.13 ℃·(10 a)^-1的平均增温速率.尽管夏、秋季的气温呈上升趋势,但不显著;而冬、春季的增温显著(P<0.01);最高年平均气温(0.37 ℃·(10 a)^-1)与最低年平均气温(0.54 ℃·(10 a)^-1)均呈极显著的增加趋势(P<0.01).降水量年际间波动较大,但没有明显的变化趋势;各季节降水量也没有明显的变化规律,其中春、秋、冬季的降水日数有增加趋势,但没有达到显著水平,而夏季的降水日数呈显著减少趋势(P<0.05);各季降水强度均呈增加趋势,其中夏季(P<0.05)和冬季(P<0.01)的变化达到了显著水平.     

施硅对夜间增温下南方水稻生长、产量和品质的影响

气温增幅夜间大于白天是全球气候变暖的显著特征之一。夜间增温引起南方单季稻减产,而施硅可提高水稻产量。本研究通过田间模拟试验,分析了施硅对夜间增温下水稻主要生育期植株分蘖数、生物量等生长指标以及产量和品质的影响。增温设2水平：常温对照(CK)和夜间增温(NW),采用被动式夜间增温方法,即夜间(19:00—6:00)用铝箔膜覆盖植株冠层以模拟夜间增温;硅肥(钢渣)用量设2水平：不施硅(Si₀)和施硅(Si₁,200 kg SiO₂·hm^-2)。结果表明：与常温对照比,夜间增温使水稻生长期冠层和5 cm土层夜间平均温度分别升高0.51～0.58℃和0.28～0.41℃。夜间增温使分蘖数和叶绿素含量分别较CK降低2.5%～15.9%和0.2%～7.7%;而施硅使分蘖数和叶绿素含量较不施硅分别提高1.7%～16.2%和1.6%～16.6%。与CK相比,夜间增温下施硅显著提高了灌浆-成熟期地上部干重、全株干重和产量,增幅分别为64.1%、55.3%和7.1%;显著增加了精米率、整精米率和淀粉含量,增幅分别为2....     

内蒙古典型草原地上净初级生产力对气候变化响应的模拟

利用内蒙古锡林浩特国家气候观象台1994～2009年牧草生长季逐月实测资料,对CENTURY模型进行检验,模拟内蒙古典型草原1953～2010年间地上净初级生产力(ANPP)动态,并与26个气象因子进行相关性分析。模型检验结果显示,模拟值与观测值之间的相关系数为R2=0.66,斜率b=0.95,误差平方根值为50.51g.m-2,平均绝对百分比误差为44.19%。结果表明:(1)CENTURY模型能比较准确地模拟这类草原的季节动态和年际变化;在过去的58年中,内蒙古典型草原温度增加,降水减少,ANPP下降;ANPP变化趋势与降水量相似。(2)用实际气象观测资料模拟获得的ANPP随气温和降水的变化呈现出明显的变化规律,生长季内地上生物量对降水和温度的季节性分布也非常敏感;相关分析进一步表明,ANPP对生长季内降水量和极端高温非常敏感,而与年极端最低气温、平均地面温度、日照时数、平均风速和最大积雪深度无显著相关关系;过去58年研究区ANPP下降是降水减少、温度升高以及干旱事件频发共同作用的结果。(3)根据预测,在SRES B2情景下,未来50～100年内蒙古典型草原生长季平均最高气温和最低气温都将呈升高趋势,2080s分别升高4.01℃、4.35℃,每10年增加速率分别为0.35℃和0.38℃;降水量略呈增加,2020s、2050s和2080s研究区生长季将分别增加3.17%、5.13%和7.03%,每10年增加速率为0.09mm;ANPP呈下降趋势年际间波动较大,2020s、2050s和2080s研究区将分别下降5.76%、7.52%和11.42%,每10年下降速率为0.76g.m-2。     

中国水稻潜在分布及其气候特征

基于全国层次和年尺度筛选的影响中国水稻分布的潜在气候指标,结合水稻地理分布信息,利用最大熵模型和ArcGIS软件的空间分析功能,分析了中国水稻潜在分布及其气候特征.结果表明:年降水量(P)、湿润指数(MI)、稳定通过18℃持续日数( N18)和≥10℃积温(∑T10)4个因子是影响水稻分布的主导气候因子,其累积贡献百分率达97.6％.采用主导气候因子作为环境变量重建气候水稻分布关系的最大熵模型,利用重建的最大熵模型给出的中国水稻存在概率,对中国水稻潜在分布区的气候适宜等级进行了划分,并分析了各适宜区的气候特征.研究结果可为中国水稻生产布局及制定应对气候变化政策提供参考.     

水稻优良性状控制基因的定位进展及其在染色体上的分布

利用分子标记可以寻找并且定位目的基因, 分子标记辅助育种技术则能够快速、高效地筛选出携带目的基因的优良品种。文章总结了近年来水稻中已被定位的优良性状控制基因及与其连锁的分子标记, 其中包括抗病虫害、抗寒、抗旱、不育、育性恢复等194个基因, 这些基因中已有14个被克隆测序。在此基础上探讨了这些基因在染色体上的分布趋势。     

Developmental regulation of photosynthate distribution in leaves of rice

mRNA expression patterns of genes for metabolic key enzymes sucrose phosphate synthase (SPS), phosphoenolpyruvate carboxylase (PEPC), pyruvate kinase, ribulose 1,5-bisphosphate carboxylase/oxygenase, glutamine synthetase 1, and glutamine synthetase 2 were investigated in leaves of rice plants grown at two nitrogen (N) supplies (N_0.5, N_3.0). The relative gene expression patterns were similar in all leaves except for 9^th leaf, in which mRNA levels were generally depressed. Though increased N supply prolonged the expression period of each mRNA, it did not affect the relative expression intensity of any mRNA in a given leaf. SPS V_max, SPS limiting and PEPC activities, and carbon flow were examined. The ratio between PEPC activity and SPS V_max was higher in leaves developed at the vegetative growth stage (vegetative leaves: 5^th and 7^th leaves) than in leaves developed after the ear primordia formation stage (reproductive leaves: 9^th and flag leaves). PEPC activity and SPS V_max decreased with declining leaf N content. After using ¹⁴CO₂ the ¹⁴C photosynthate distribution in the amino acid fraction was higher in vegetative than in reproductive leaves when compared for the same leaf N status. Thus, at high PEPC/SPS activities ratio, more ¹⁴C photosynthate was distributed to the amino acid pool, whereas at higher SPS activity more ¹⁴C was channelled into the saccharide fraction. Thus, leaf ontogeny was an important factor controlling photosynthate distribution to the N- or C-pool, respectively, regardless of the leaf N status.     

A transporter regulating silicon distribution in rice shoots

Rice (Oryza sativa) accumulates very high concentrations of silicon (Si) in the shoots, and the deposition of Si as amorphous silica helps plants to overcome biotic and abiotic stresses. Here, we describe a transporter, Lsi6, which is involved in the distribution of Si in the shoots. Lsi6 belongs to the nodulin-26 intrinsic protein III subgroup of aquaporins and is permeable to silicic acid. Lsi6 is expressed in the leaf sheath and leaf blades as well as in the root tips. Cellular localization studies revealed that Lsi6 is found in the xylem parenchyma cells of the leaf sheath and leaf blades. Moreover, Lsi6 showed polar localization at the side facing toward the vessel. Knockdown of Lsi6 did not affect the uptake of Si by the roots but resulted in disordered deposition of silica in the shoots and increased excretion of Si in the guttation fluid. These results indicate that Lsi6 is a transporter responsible for the transport of Si out of the xylem and subsequently affects the distribution of Si in the leaf.     

Production and organ distribution of succinate in rice seedlings during anoxia

Anaerobic production of succinate, a common feature in animals able to sustain anoxia, has seldom been reported in plants. By the use of ¹H-nuclear magnetic resonance spectroscopy we show here that succinate is produced by rice seedlings (Oryza sativa L. cv. Arborio) subjected to anoxic conditions. Starting from levels below I μmol (g fresh weight)⁻¹ in air, after 48 h of anoxia the levels of alanine, succinate and lactate had increased to 23.8, 5.2 and 1.0 μmol (g fresh weight) ⁻¹, respectively, in shoot tissues. Succinate was accumulated in shoots, notably in the coleoptiles, but not in roots of the rice seedlings, suggesting its involvement in rice coleoptile elongation under anoxia. Other possible functions of succinate production in rice seedling, an organism highly tolerant to anoxia, are discussed.     

西南地区水稻干旱时空分布特征

从西南地区水稻生产特点和气候条件出发,改进相对湿润指数,建立计算偏离多年平均相对湿润指数值变化程度的湿润指数距平率（M_p）农业干旱监测模型,并采用农业干旱监测等级指标分析了1961—2010年西南地区水稻生育期间农业干旱时空分布特征,验证了M_p在西南地区水稻干旱监测方面的适用性.结果表明： 从年代际变化趋势来看,随着年代的增加,水稻受旱频率有降低趋势;从空间分布趋势来看,水稻受旱高频区主要分布在云南西北部和中东部,以及四川盆地东部、重庆东北部、贵州东南部局部区域;从各生长阶段发生干旱频率来看,水稻移栽至抽穗阶段发生干旱频率最高,其次是灌浆至成熟阶段,抽穗至灌浆期受旱频率最低.湿润指数距平率能较好地监测西南地区水稻的受旱情况,对于缺乏灌溉资料的地区采用该方法进行水稻干旱监测具有一定的实用价值.     

Root growth and distribution of two short-season rice genotypes

Root growth dynamics of lowland rice (Oryza sativa L.) throughout the growing season are poorly understood. A field experiment was conducted in 1987 to compare root growth and distribution of two rice genotypes at two Arkansas locations on soils with different physical and chemical properties. Two genotypes, Bond and an experimental line (RU8701084), were grown on a Captina silt loam (Typic Fragiudults) at Fayetteville, AR, and on a Crowley silt loam (Typic Albaqualfs) near Stuttgart, Ar. Plots contained minirhizotrons oriented at a 45° angle and extended 55 cm (Captina) and 40 cm (Crowley) vertical to the soil surface. Root measurements were taken several times during the season at specific growth stages. Plant height and tiller number were taken at 9 dates at Fayetteville up to physiological maturity. In general, root length (RL) and root length density (RLD) were greater on the Captina soil. Genotypes at both locations reached maximum root growth rates between active tillering and panicle initiation (PI) and maximum RL by early reproduction. Total RL were similar between genotypes on the Captina. However on the Crowley, the mean RL for Bond between the period of early booting and flood removal was an average of 54% greater than for RU8701084. During early reproductive growth at both locations RL plateaued, but then declined during the grain filling process. There was a trend for RU8701084 to contain a greater percentage of its total RL in the top 20 and 10 cm of soil on the Captina and Crowley, respectively, while Bond tended to be a deeper rooted genotype. Bond had a greater RLD at the 20–30 cm depth increment on the Crowley, which contributed to the greater RL. Less than 15% of the total RL of either genotype was measured below 30 cm on the Crowley. In contrast, nearly 25% of the total RL was found at the 30–40 cm depth increment on the Captina. Results showed that rice root growth varied between soils, that root distribution patterns differed between genotypes, and that patterns of root growth changed with changes in plant development.     

Biased distribution of microsatellite motifs in the rice genome

Microsatellites are useful tools to study the extent of divergence between two taxonomic groups that show high sequence similarity. We have compared microsatellite distribution to illustrate genetic variation between the two rice genomes, Oryza sativa L. ssp. indica and Oryza sativa L. ssp. japonica. Microsatellite distribution proved to be non random as certain regions of very high microsatellite density have been identified. Microsatellite density in the subspecies japonica was computed marginally higher than in the subspecies indica in the genomic regions compared between the two subspecies. Unexpectedly high microsatellite densities were observed in 5′-untranslated regions of genes. These regions also displayed a clear motif bias. Some of the longest microsatellite repeats were found in intron sequences. Frequency, as well as motif bias was also noted with respect to the association of microsatellites with transposable elements. Microsatellite mutability values were exemplarily estimated for 90 loci by aligning the microsatellite containing regions between the two genomes. Poor rates of finding an orthologue corresponded with high microsatellite mutability in rice. These insights are likely to play a significant role in selecting microsatellite loci to be used in molecular breeding and studying evolutionary dynamics of the two subspecies.