抗寒剂对水稻线粒体膜流动性的冷稳定作用

抗寒剂对水稻线粒体膜流动性的冷稳定作用王红,简令成,张举仁（中国科学院植物研究所,北京１０００４４）（山东大学生物系,济南２５０１００）ＥＦＦＥＣＴＯＦＴＨＥＣＯＬＤ－ＲＥＳＩＳＴＥＲＣＲ－ＲＥＳＩＳＴＥＲＣＲ－４ＯＮＴＨＥＣＯＬＤ－ＳＴＡＢＩＬＩＴ...     

铅锌砷复合污染对水稻生长的影响

铅锌砷复合污染对水稻生长的影响谢正苗,黄昌勇（浙江农业大学土化系杭州,３１００２９）ＥＦＦＥＣＴＳＯＦＣＯＭＢＩＮＥＤＰＯＬＬＵＴＩＯＮＯＦＬＥＡＤＺＩＮＣＡＲＳＥＮＩＣＯＮＲＩＣＥＧＲＯＷＴＨＸｉｅＺｈｅｎｇｍｉａｏＨｕｎａｇＣｈａｎｇｙｏｎｇ（Ｚ...     

渗透胁迫下水稻幼苗中叶绿素降解的活性氧损伤作用

水稻（Ｏｒｙｚａ ｓａｔｉｖａ Ｌ．）幼苗在渗透胁迫下,随着胁迫强度的增加及时间的延长,Ｃｈｌ降解加剧,活性氧Ｏ－·２ 、Ｈ２Ｏ２ 及脂质过氧化产物丙二醛（ＭＤＡ）含量明显增加,抗氧化剂抗坏血酸（ＡｓＡ）还原型谷胱甘肽（ＧＳＨ）及胡萝卜素（ＣＡＲ）含量显著降低,叶绿素蛋白复合体（Ｃｈｌ－Ｐｒｏ）结合度松弛． Ｃｈｌ含量的降低和Ｏ－·２ 、Ｈ２Ｏ２ 及ＭＤＡ 含量呈显著的负相关,与ＡｓＡ、ＧＳＨ及ＣＡＲ含量的下降呈良好的正相关性．ＡｓＡ、α－生育酚（ＶｉｔＥ）及甘露醇预处理可使胁迫诱导的ＭＤＡ 增多及Ｃｈｌ降解延缓,而Ｆｅ２＋ 、Ｈ２Ｏ２ 及Ｆｅｎｔｏｎ 反应则刺激ＭＤＡ 增加． Ｆｅｎｔｏｎ 反应可加速Ｃｈｌ降解． 渗透胁迫下水稻幼苗Ｃｈｌ的降解可能主要是由Ｏ－·２ 和Ｈ２Ｏ２ 的代谢产物·ＯＨ氧化损伤之故     

水稻根系生长生理的研究进展

水稻根系生长生理的研究进展潘晓华（江西农业大学,南昌３３００４５）王永锐傅家瑞（中山大学,广州５１０２７５）ＤＶＡＮＣＥＩＮＴＨＥＳＴＵＤＹＯＮＴＨＥＧＲＯＷＴＨ┐ＰＨＹＳＩＯＬＯＧＹＩＮＲＩＣＥＯＦＲＯＯＴＳＹＳＴＥＭ（ＯＲＹＺＡＳＡＴＩＶＡ）Ｐａ...     

二种不同抗冷性水稻品种剑叶5’－核苷酸酶的细胞化学定位

二种不同抗冷性水稻品种剑叶５’－核苷酸酶的细胞化学定位陈善娜邹晓菊梁斌（云南大学生物系，昆明６５００９１）ＴＨＥＣＹＴＯＣＨＥＭＩＣＡＬＬＯＣＡＴＩＯＮＯＦ５’－ＮＵＣＬＥＯＴＩＤＡＳＥＩＮＳＷＯＲＤＳＨＡＲＰＥＤＬＥＡＶＥＳＯＦＴＷＯＤＩＦＦＥＲ...     

CO2浓度倍增对小麦生育性状和产量构成的影响

ＣＯ_２浓度倍增对小麦生育性状和产量构成的影响王修兰,徐师华,李佑祥（中国农业科学院农业气象研究所,北京,１０００８１）ＴＨＥＥＦＦＥＣＴＳＯＦＣＯ_２ＤＯＵＢＬＩＮＧＯＮＧＲＯＷＩＮＧＡＮＤＤＥＶＥＬＯＰＩＮＧＣＨＡＲＡＣＴＥＲＳＡＮＤＹＩＥＬＤＦＯ...     

水稻热值和能量的动态变化研究

水稻热值和能量的动态变化研究郑志明,孙国夫,王兆骞（浙江农业大学农业生态研究所杭州,３１００２９）ＳＴＵＤＹＯＮＴＨＥＤＹＮＡＭＩＣＯＦＣＡＬＯＲＩＦＩＣＶＡＬＵＥＡＮＤＥＮＥＲＧＹＯＦＲＩＣＥＺｈｃｎｇＺｈｉｍｉｎｇＳｕｎＧｕｏｆｕＷａｎｇＺｈａｏ...     

水稻叶片磷酸烯醇式丙酮酸磷酸酯酶活性及其部分特性

从水稻（Ｏｒｙｚａ ｓａｔｉｖａ）叶片分离出对磷酸烯醇式丙酮酸（ＰＥＰ）较专一的ＰＥＰ磷酸酯酶,其Ｋｍ （ＰＥＰ）为０．４２ ｍ ｍ ｏｌ／Ｌ,作用ｐＨ范围较窄,最适ｐＨ ８．７。它在ｐＨ ６．２—９．５ 范围内及４０℃以下较稳定。Ｐｉ对酶活性影响不大,仅在大于５ ｍ ｍ ｏｌ／Ｌ时表现出轻微的抑制作用。Ｍｇ２＋ 对酶活性具激活作用,在Ｍｇ２＋ 存在条件下,ＣａＣｌ２、ＣｏＣｌ２、ＣｕＳＯ４、ＦｅＳＯ４ 和ＺｎＳＯ４ 均表现抑制作用     

云南黄芪属二新种

云南黄芪属二新种＊钱子刚１陈介２（１云南中医学院，昆明６５００１１）（２中国科学院昆明植物研究所，昆明６５０２０４）ＴＷＯＮＥＷＳＰＥＣＩＥＳＯＦＡＳＴＲＡＧＡＬＵＳＦＲＯＭＹＵＮＮＡＮＱｉａｎＺｉｇａｎｇ１，ＣｈｅｎＪｉｅ（ＣｈｅｎＣｈｅｉｈ）２（...     

电子流注入对水稻幼穗组织培养直接分化成苗的影响

电子流注入对水稻幼穗组织培养直接分化成苗的影响吴殿星１夏英武１舒庆尧１谢嘉华１叶阿宝２（１浙江农业大学核农所,杭州３１００２９）（２舟山市农业科学研究所,浙江舟山市３１６０４１）ＥＦＦＥＣＴＳＯＦＥＬＥＣＴＲＯＮＢＥＡＭＩＭＰＬＡＮＴＡＴＩＯＮＯＮ...     

Impacts of climate change on rice production in Africa and causes of simulated yield changes

This study is the first of its kind to quantify possible effects of climate change on rice production in Africa. We simulated impacts on rice in irrigated systems (dry season and wet season) and rainfed systems (upland and lowland). We simulated the use of rice varieties with a higher temperature sum as adaptation option. We simulated rice yields for 4 RCP climate change scenarios and identified causes of yield declines. Without adaptation, shortening of the growing period due to higher temperatures had a negative impact on yields (?24% in RCP 8.5 in 2070 compared with the baseline year 2000). With varieties that have a high temperature sum, the length of the growing period would remain the same as under the baseline conditions. With this adaptation option rainfed rice yields would increase slightly (+8%) but they remain subject to water availability constraints. Irrigated rice yields in East Africa would increase (+25%) due to more favourable temperatures and due to CO2 fertilization. Wet season irrigated rice yields in West Africa were projected to change by ?21% or +7% (without/with adaptation). Without adaptation irrigated rice yields in West Africa in the dry season would decrease by ?45% with adaptation they would decrease significantly less (?15%). The main cause of this decline was reduced photosynthesis at extremely high temperatures. Simulated heat sterility hardly increased and was not found a major cause for yield decline. The implications for these findings are as follows. For East Africa to benefit from climate change, improved water and nutrient management will be needed to benefit fully from the more favourable temperatures and increased CO2 concentrations. For West Africa, more research is needed on photosynthesis processes at extreme temperatures and on adaptation options such as shifting sowing dates.     

Observation of irrigation‐induced climate change in the Midwest United States

Irrigated agriculture alters near‐surface temperature and humidity, which may mask global climate change at the regional scale. However, observational studies of irrigation‐induced climate change are lacking in temperate, humid regions throughout North America and Europe. Despite unknown climate impacts, irrigated agriculture is expanding in the Midwest United States, where unconfined aquifers provide groundwater to support crop production on coarse soils. This is the first study in the Midwest United States to observe and quantify differences in regional climate associated with irrigated agricultural conversion from forests and rainfed agriculture. To this end, we established a 60 km transect consisting of 28 stations across varying land uses and monitored surface air temperature and relative humidity for 31 months in the Wisconsin Central Sands region. We used a novel approach to quantify irrigated land use in both space and time with a database containing monthly groundwater withdrawal estimates by parcel for the state of Wisconsin. Irrigated agriculture decreased maximum temperatures and increased minimum temperatures, thus shrinking the diurnal temperature range (DTR) by an average of 3°C. Irrigated agriculture also decreased the vapor pressure deficit (VPD) by an average of 0.10 kPa. Irrigated agriculture significantly decreased evaporative demand for 25% and 66% of study days compared to rainfed agriculture and forest, respectively. Differences in VPD across the land‐use gradient were highest (0.21 kPa) during the peak of the growing season, while differences in DTR were comparable year‐round. Interannual variability in temperature had greater impacts on differences in DTR and VPD across the land‐use gradient than interannual variability in precipitation. These regional climate changes must be considered together with increased greenhouse gas emissions, changes to groundwater quality, and surface water degradation when evaluating the costs and benefits of groundwater‐sourced irrigation expansion in the Midwest United States and similar regions around the world.     

Impacts of climate change on paddy rice yield in a temperate climate

The crop simulation model is a suitable tool for evaluating the potential impacts of climate change on crop production and on the environment. This study investigates the effects of climate change on paddy rice production in the temperate climate regions under the East Asian monsoon system using the CERES‐Rice 4.0 crop simulation model. This model was first calibrated and validated for crop production under elevated CO₂ and various temperature conditions. Data were obtained from experiments performed using a temperature gradient field chamber (TGFC) with a CO₂ enrichment system installed at Chonnam National University in Gwangju, Korea in 2009 and 2010. Based on the empirical calibration and validation, the model was applied to deliver a simulated forecast of paddy rice production for the region, as well as for the other Japonica rice growing regions in East Asia, projecting for years 2050 and 2100. In these climate change projection simulations in Gwangju, Korea, the yield increases (+12.6 and + 22.0%) due to CO₂ elevation were adjusted according to temperature increases showing variation dependent upon the cultivars, which resulted in significant yield decreases (?22.1% and ?35.0%). The projected yields were determined to increase as latitude increases due to reduced temperature effects, showing the highest increase for any of the study locations (+24%) in Harbin, China. It appears that the potential negative impact on crop production may be mediated by appropriate cultivar selection and cultivation changes such as alteration of the planting date. Results reported in this study using the CERES‐Rice 4.0 model demonstrate the promising potential for its further application in simulating the impacts of climate change on rice production from a local to a regional scale under the monsoon climate system.     

二氧化碳浓度增高对稻、麦品质影响研究进展

作物品质的形成是品种遗传特性和环境条件综合作用的结果.一般认为大气中CO₂浓度增高将对作物品质产生重要影响.本文分别从蛋白质与氮含量、微量元素以及其他品质性状等3个方面综述了国内外关于CO₂浓度增高对水稻、小麦品质影响的研究进展,强调了该领域研究的必要性和紧迫性,并提出了研究的重点内容及主要方向.主要包括：大气中CO₂浓度增高对水稻、小麦品质的直接影响及品种间的差异;大气中CO₂浓度增高及其与其它气候因子协同作用对水稻、小麦品质的综合影响及其指标量化;大气中CO₂浓度增高及气候变化对水稻、小麦品质形成过程的影响机理;适应CO₂浓度增高的水稻、小麦品质改良育种的方向与策略;适应CO₂浓度增高的水稻、小麦品质改良的综合生产技术体系和分子标记及转基因技术在水稻、小麦品质改良育种方面的应用.     

Criteria for assessing climate change impacts on ecosystems

There is concern about the potential impacts of climate change on species and ecosystems. To address this concern, a large body of literature has developed in which these impacts are assessed. In this study, criteria for conducting reliable and useful assessments of impacts of future climate are suggested. The major decisions involve: clearly defining an emissions scenario; selecting a climate model; evaluating climate model skill and bias; quantifying General Circulation Model (GCM) between-model variability; selecting an ecosystem model and assessing uncertainty; properly considering transient versus equilibrium responses; including effects of CO(2) on plant response; evaluating implications of simplifying assumptions; and considering animal linkage with vegetation. A sample of the literature was surveyed in light of these criteria. Many of the studies used climate simulations that were >10 years old and not representative of best current models. Future effects of elevated CO(2) on plant drought resistance and productivity were generally included in growth model studies but not in niche (habitat suitability) studies, causing the latter to forecast greater future adverse impacts. Overly simplified spatial representation was frequent and caused the existence of refugia to be underestimated. Few studies compared multiple climate simulations and ecosystem models (including parametric uncertainty), leading to a false impression of precision and potentially arbitrary results due to high between-model variance. No study assessed climate model retrodictive skill or bias. Overall, most current studies fail to meet all of the proposed criteria. Suggestions for improving assessments are provided.     

The implication of irrigation in climate change impact assessment: a European‐wide study

This study evaluates the impacts of projected climate change on irrigation requirements and yields of six crops (winter wheat, winter barley, rapeseed, grain maize, potato, and sugar beet) in Europe. Furthermore, the uncertainty deriving from consideration of irrigation, CO₂ effects on crop growth and transpiration, and different climate change scenarios in climate change impact assessments is quantified. Net irrigation requirement (NIR) and yields of the six crops were simulated for a baseline (1982–2006) and three SRES scenarios (B1, B2 and A1B, 2040–2064) under rainfed and irrigated conditions, using a process‐based crop model, SIMPLACE . We found that projected climate change decreased NIR of the three winter crops in northern Europe (up to 81 mm), but increased NIR of all the six crops in the Mediterranean regions (up to 182 mm yr^?1). Climate change increased yields of the three winter crops and sugar beet in middle and northern regions (up to 36%), but decreased their yields in Mediterranean countries (up to 81%). Consideration of CO₂ effects can alter the direction of change in NIR for irrigated crops in the south and of yields for C3 crops in central and northern Europe. Constraining the model to rainfed conditions for spring crops led to a negative bias in simulating climate change impacts on yields (up to 44%), which was proportional to the irrigation ratio of the simulation unit. Impacts on NIR and yields were generally consistent across the three SRES scenarios for the majority of regions in Europe. We conclude that due to the magnitude of irrigation and CO₂ effects, they should both be considered in the simulation of climate change impacts on crop production and water availability, particularly for crops and regions with a high proportion of irrigated crop area.     

Agroclimatic conditions in Europe under climate change

To date, projections of European crop yields under climate change have been based almost entirely on the outputs of crop‐growth models. While this strategy can provide good estimates of the effects of climatic factors, soil conditions and management on crop yield, these models usually do not capture all of the important aspects related to crop management, or the relevant environmental factors. Moreover, crop‐simulation studies often have severe limitations with respect to the number of crops covered or the spatial extent. The present study, based on agroclimatic indices, provides a general picture of agroclimatic conditions in western and central Europe (study area lays between 8.5°W–27°E and 37–63.5°N), which allows for a more general assessment of climate‐change impacts. The results obtained from the analysis of data from 86 different sites were clustered according to an environmental stratification of Europe. The analysis was carried for the baseline (1971–2000) and future climate conditions (time horizons of 2030, 2050 and with a global temperature increase of 5 °C) based on outputs of three global circulation models. For many environmental zones, there were clear signs of deteriorating agroclimatic condition in terms of increased drought stress and shortening of the active growing season, which in some regions become increasingly squeezed between a cold winter and a hot summer. For most zones the projections show a marked need for adaptive measures to either increase soil water availability or drought resistance of crops. This study concludes that rainfed agriculture is likely to face more climate‐related risks, although the analyzed agroclimatic indicators will probably remain at a level that should permit rainfed production. However, results suggests that there is a risk of increasing number of extremely unfavorable years in many climate zones, which might result in higher interannual yield variability and constitute a challenge for proper crop management.     

QTLs linked to leaf epicuticular wax,physio-morphological and plant production traits under drought stress in rice (<Emphasis Type="Italic">Oryza sativa</Emphasis> L.)

Drought stress is the major constraint to rice (Oryza sativa L.) production and yield stability in rainfed ecosystems. Identifying genomic regions contributing to drought resistance will help to develop rice cultivars suitable for rainfed regions through marker-assisted breeding. Quantitative trait loci (QTLs) linked to leaf epicuticular wax, physio-morphological and plant production traits under water stress and irrigated conditions were mapped in a doubled haploid (DH) line population from the cross CT9993-5-10-1-M/IR62266-42-6-2. The DH lines were subjected to water stress during anthesis. The DH lines showed significant variation for epicuticular wax (EW), physio-morphological and plant production traits under stress and irrigated conditions. A total of 19 QTLs were identified for the various traits under drought stress and irrigated conditions in the field, which individually explained 9.6%–65.6% of the phenotypic variation. A region EM15_10-ME8_4-R1394A-G2132 on chromosome 8 was identified for leaf EW and rate of water loss i.e., time taken to reach 70% RWC from excised leaves in rice lines subjected to drought stress. A large effect QTL (65.6%) was detected on chromosome 2 for harvest index under stress. QTLs identified for EW, rate of water loss from excised leaves and harvest index under stress in this study co-located with QTLs linked to shoot and root-related drought resistance traits in these rice lines and might be useful for rainfed rice improvement.     

稻田甲烷排放模型研究——模型及其修正

在过去十多年内 ,关于稻田甲烷排放的模拟已经进行了不少有益的探索并且开发出了数个有关的模型。模型的成功研制是准确定量估计不同区域范围内稻田甲烷排放的前提。以往大部分模型由于模拟精度不高 ,或者是其要求太多的输入参数 ,因而限制了它在大尺度范围内的广泛应用。在一个比较成熟的模型基础上 ,进行了必要的修正与扩充。增加了稻田甲烷通过气泡方式排放的模拟模块 ,并修正了原模型中关于土壤氧化还原电位变化的模拟 ,使之能适应于多种稻田水管理方式。新修正的模型 (CH4 MOD)不仅保留了原模型输入参数较少和易于获得的优点 ,而且能适应多种水稻耕作方式 ,这为进一步利用模型技术准确估计大尺度区域稻田甲烷排放提供了一种新的科学方法     

Changes in the population of infective endomycorrhizal fungi in a rice-based cropping system

The numbers of infectious propagules of indigenous vesicular-arbuscular mycorrhizal (VAM) fungi were determined at different stages of the rice-based cropping systems in two irrigated rice fields of varying strata and in a rainfed field. The most-probable-number method was used to estimate the infective VAM fungal population. On the irrigated farms the mycorrhizal inoculum was consistently less in the poorly drained low-lying field with a rice-rice cropping pattern than in the field in the better-drained upper stratum with a rice-corn-mung-bean pattern. The population of infective VAM fungi was generally low after the wet season rice crop when the field was inundated for a long period, increased during fallow in the presence of weeds, and was highest upon the maturity of the dry-season corn or rice crop. In the rainfed area the highest endophytic population was found at maturity of the mungbean crop and the lowest after land preparation prior to rice seeding.