Impact of climate change on maize yield in China from 1979 to 2016

Climate change severely impacts agricultural production, which jeopardizes food security. China is the second largest maize producer in the world and also the largest consumer of maize. Analyzing the impact of climate change on maize yields can provide effective guidance to national and international economics and politics. Panel models are unable to determine the group-wise heteroscedasticity, cross-sectional correlation and autocorrelation of datasets, therefore we adopted the feasible generalized least square(FGLS) model to evaluate the impact of climate change on maize yields in China from 1979–2016 and got the following results:(1) During the 1979–2016 period, increases in temperature negatively impacted the maize yield of China. For every 1°C increase in temperature, the maize yield was reduced by 5.19 kg 667 m–2(1.7%). Precipitation increased only marginally during this time, and therefore its impact on the maize yield was negligible. For every 1 mm increase in precipitation, the maize yield increased by an insignificant amount of 0.043 kg 667 m–2(0.014%).(2) The impacts of climate change on maize yield differ spatially, with more significant impacts experienced in southern China. In this region, a 1°C increase in temperature resulted in a 7.49 kg 667 m–2 decrease in the maize yield, while the impact of temperature on the maize yield in northern China was insignificant. For every 1 mm increase in precipitation, the maize yield increased by 0.013 kg 667 m–2 in southern China and 0.066 kg 667 m–2 in northern China.(3) The resilience of the maize crop to climate change is strong. The marginal effect of temperature in both southern and northern China during the 1990–2016 period was smaller than that for the 1979–2016 period.     

都市餐饮企业的净菜需求影响因素分析——以北京市为例

净菜的广泛使用能提高餐饮企业的出餐率,减少其后厨面积、劳动用工和厨余垃圾。基于北京地区708份餐饮企业净菜需求的问卷调查样本,运用垄断竞争市场理论和二元选择模型分析了影响餐饮企业净菜使用行为的具体因素。研究发现,对净菜了解程度不够和净菜价格偏高是制约餐饮企业使用净菜的主要因素,具有不同个体特征和环境特征的餐饮企业选择净菜的倾向性不同。建议在餐饮业大力开展净菜宣传科普工作;大力扶持净菜加工企业和发展相关技术支撑体系以降低净菜价格。     

过表达ZmIBH1-1提高玉米苗期抗旱性

【目的】干旱是严重影响玉米生长发育进程的一个重要因素。挖掘玉米抗旱相关基因,通过转基因功能验证和转录组分析,解析关键基因在响应干旱胁迫过程中的分子调控机制,为抗旱分子育种和遗传改良提供理论依据。【方法】以玉米自交系B104（WT）为背景材料,利用农杆菌介导方法构建过表达ZmIBH1-1转基因株系（ZmIBH1-1-OE）;通过对转基因植株进行草铵膦抗性筛选、标记基因和目的基因PCR检测,以及运用实时荧光定量PCR检测目的基因的表达情况,鉴定阳性植株和株系;以WT和ZmIBH1-1-OE转基因株系为材料,通过干旱处理（20% PEG6000）,进行表型鉴定和耐旱生理生化指标测定,验证ZmIBH1-1的抗旱功能;通过对干旱胁迫下玉米4叶期转录组的比较分析,鉴定出差异表达的基因（differentially expressed genes,DEGs）;结合DAP-seq（DNA affinity purification sequencing）分析,初步确定ZmIBH1-1蛋白直接调控与抗旱相关的下游靶基因,利用基因组可视化软件IGV（integrative genomics viewer）分析ZmIBH1-1蛋白结合候选靶基因的位置,然后通过Dual-Luciferase试验验证ZmIBH1-1蛋白与靶基因的调控关系。【结果】通过玉米遗传转化获得12个转化事件;T₃代中,能同时检测到标记基因Bar和目的基因ZmIBH1-1的植株有458个,实时荧光定量PCR检测结果表明,ZmIBH1-1-OE中ZmIBH1-1的表达量显著高于WT,株系3和株系8表达量最高,将其自交获得T₄代转基因株系用于后续试验。在干旱胁迫条件下,ZmIBH1-1-OE株系存活率、叶片相对含水量、叶绿素含量、可溶性蛋白含量及其生理生化指标（超氧化物歧化酶、过氧化物酶、过氧化氢酶活性）均显著高于WT,说明玉米中过量表达ZmIBH1-1赋予玉米更高的耐旱性。转录组分析结果表明,WT与ZmIBH1-1-OE株系在干旱胁迫下有1 214个差异表达基因;Gene Ontology（GO）功能富集分析结果表明,差异表达基因主要涉及生物过程、细胞组分和分子功能,如在生物过程中主要涉及到光合作用、应激响应、脱水响应等;KEGG富集分析表明,差异表达基因主要参与植物激素信号传导、新陈代谢等过程。结合转录组显著差异表达基因和DAP-Seq分析所得到ZmIBH1-1蛋白的靶基因,初步确定ZmIBH1-1蛋白直接调控与抗旱相关的11个候选靶基因,包括2个钙信号相关基因、3个半胱氨酸代谢相关基因、1个bHLH转录因子、1个应激响应蛋白、1个谷胱甘肽转移酶、1个氧化还原过程蛋白和2个乙烯响应因子;基因组可视化结果显示ZmIBH1-1蛋白可以结合靶基因启动子区;随后通过Dual-Luciferase试验进一步表明,ZmIBH1-1蛋白可以直接作用于11个候选靶基因,其中,ZmIBH1-1蛋白可以促进ZmCa-M、ZmSYCO、ZmbHLH54、ZmGlu-r1、ZmCLPB3和ZmP450-99A2的表达,抑制ZmAGD12、ZmCYS、ZmCYSB、ZmERF-107和ZmEIN3的表达。此外,在干旱胁迫下NAC、WRKY、MYB等转录因子在ZmIBH1-1-OE和WT株系中也存在差异表达。【结论】ZmIBH1-1的过表达可以增强玉米苗期的耐旱性;ZmIBH1-1蛋白通过直接调控乙烯信号通路中的ZmERF-107和ZmEIN3的表达提高玉米的耐旱性;ZmIBH1-1蛋白通过直接调控钙信号相关基因ZmCa-M和ZmAGD12增强玉米的耐旱性;ZmIBH1-1蛋白可能通过间接调控NAC、WRKY、MYB等转录因子响应干旱胁迫。     

数值模型结构不确定性对模拟结果的影响分析

以内蒙古鄂托克旗为例,基于GMS中的MODFLOW模块构建了地下水流数值模拟模型,分析了模型结构(含水层厚度、参数分区)与模型参数不确定性因素对模拟结果的影响.研究结果表明:含水层不确定情景(含水层下边界概化为隔水底板平均值870 m)与实际情况水头差值绝对值的累计和最大为701 m,对模拟结果起了主控作用;当含水层下边界概化为910,940 m时,累计和分别增加为1 013,1 593 m;与仅考虑单个不确定性因素相比,同时考虑模型参数与含水层不确定情景累计和最大为738 m,同时考虑参数分区与含水层不确定情景累计和最大为791 m.因此,在构建地下水流数值模拟模型时,应优先考虑含水层空间结构概化的合理程度,同时考虑多个不确定性因素对模拟结果的综合影响,使地下水数值模拟模型能更精确地反映真实的地下水流状况.     

Exogenous application of allelopathic water extracts helps improving tolerance against terminal heat and drought stresses in bread wheat (Triticum aestivum L. Em. Thell.)

The allelopathic water extracts (AWEs) may help improve the tolerance of crop plants against abiotic stresses owing to the presence of the secondary metabolites (i.e., allelochemicals). We conducted four independent experiments to evaluate the influence of exogenous application of AWEs (applied through seed priming or foliage spray) in improving the terminal heat and drought tolerance in bread wheat. In all the experiments, two wheat cultivars, viz. Mairaj‐2008 (drought and heat tolerant) and Faisalabad‐2008 (drought and heat sensitive), were raised in pots. Both wheat cultivars were raised under ambient conditions in the wire house till leaf boot stage (booting) by maintaining the pots at 75% water‐holding capacity (WHC). Then, managed drought and heat stresses were imposed by maintaining the pots at 35% WHC, or shifting the pots inside the glass canopies (at 75% WHC), at booting, anthesis and the grain filling stages. Drought stress reduced the grain yield of wheat by 39%–49%. Foliar application of AWEs improved the grain yield of wheat by 26%–31%, while seed priming with AWEs improved the grain yield by 18%–26%, respectively, than drought stress. Terminal heat stress reduced the grain yield of wheat by 38%. Seed priming with AWEs improved the grain yield by 21%–27%; while foliar application of AWEs improved the grain yield by 25%–29% than the heat stress treatment. In conclusion, the exogenous application of AWEs improved the stay green, accumulation of proline, soluble phenolics and glycine betaine, which helped to stabilize the biological membranes and improved the tolerance against terminal drought and heat stresses.     

王正非林火蔓延模型改进研究

王正非林火蔓延模型是目前国内比较先进的森林火灾蔓延模型,但是由于林火行为的复杂性,此模型在准确率和普适性方面仍存在许多不足。本文结合已有的成果进一步改进王正非模型,增加了可燃物湿度对林火蔓延速度的影响,改进了林火初始速度的计算方式。针对各种坡度对林火蔓延行为的影响给出了一个计算公式。与改进前相比,改进后的模型使其对林火蔓延情况的预估更为精准。     

校园环境噪声监测与评价--以华中师范大学为例

环境噪声是环境质量评价的重要指标。通过噪声监测实验,记录了华中师范大学校园内的噪声污染数据,根据国家标准评估了校园环境噪声状况。试验采用网络剖分法,分别于昼间7:30~10:00和夜间22:00~22:55两个时间段对等效声级进行了测定。实验结果表明:昼间噪声污染更为严重,平均噪声超标率达到26%,夜间噪声污染相对较轻,但噪声超标率也达到19%。校园内不同功能区的噪声来源不同,工程施工产生的噪声是主要的污染源,影响比重达到58%。根据实验结果,校园声环境质量一般,需要对现状提出合理的改进建议。     

欧洲葡萄‘粉红亚都蜜’NAC基因DRL1负向调节植物抗旱性

以欧洲葡萄‘粉红亚都蜜’（Vitis vinifera‘Yatomo Rose’）为材料，利用荧光定量PCR技术和转基因技术研究葡萄NAC转录因子DRL1基因对逆境的响应。欧洲葡萄‘粉红亚都蜜’在激素和逆境胁迫下，DRL1表达呈下降趋势，其中以ABA和干旱胁迫处理最为显著。在ABA处理下DRL1转基因烟草株系种子萌发率和根长均高于野生型。干旱处理下，转基因植株对干旱的耐受性降低，同时胁迫相关基因NtLEA5、NtP5CR1、NtPSCS1、NtERD10C和NtDREB3的表达水平比野生型显著下降。此外，DRL1转基因烟草茎中柱发育受到抑制，尤其是导管横切面积仅为野生型的58%。以上结果表明，DRL1基因可能作为1个负向调节子参与植物的干旱胁迫。     

Impact of soil water content on maize responses to the plant growth-promoting rhizobacterium Azospirillum lipoferum CRT1

Members of the bacterial genus Azospirillum are root-associated bacteria that increase yield in cereals by promoting growth and alleviating drought stress. How plants integrate the many bacterium-derived growth-promoting stimuli with other environmental factors to generate a coordinated response remains unresolved. Using a commercial Azospirillum strain, A. lipoferum CRT1 and two host maize cultivars, it was observed that bacterization reduced the drought-induced increase in lateral root growth and enhanced the flood-induced increase in lateral root growth in the more drought- and flood-sensitive cultivar. In the other one, A. lipoferum CRT1 only elicited a moderate root growth response under low soil water potential. The photosynthetic potential and activity were increased in the earlier cultivar and decreased in the later one, irrespective of the soil water content. No impact of the bacterium was seen on the growth of the leaves of both cultivars under both stresses until the third leaf stage, therefore suggesting that it is a consequence of multiple primary adaptations to biotic and abiotic stresses. It is suggested that host–bacteria recognition leads to a stress-specific modulation of the root response and a differential stress-independent effect on photosynthesis. This is the first report of the impact of Azospirillum under flood conditions.     

Cohort‐specific variation in juvenile coho salmon habitat use

In this study, we examined summer and fall freshwater rearing habitat use by juvenile coho salmon (Oncorhynchus kisutch) in the quickly urbanising Big Lake drainage in south‐central Alaska. Habitat use was assessed by regressing fish count data against habitat survey information across thirty study sites using generalised linear mixed models. Habitat associations were examined by age‐0 and age‐1+ cohorts separately, providing an opportunity to compare habitat use across different juvenile coho salmon life stages during freshwater rearing. Regression results indicated that the age‐0 cohorts were strongly associated with shallow, wide stream reaches with in‐stream vegetation, whereas age‐1+ cohorts were associated with deeper stream reaches. Furthermore, associations between fork length and habitat characteristics suggest cohort‐specific habitat use patterns are distinct from those attributable to fish size. Habitat use information generated from this study is being used to guide optimal fish passage restoration planning in the Big Lake drainage. Evidence for habitat use partitioning by age cohort during freshwater juvenile rearing indicates that pooling age cohorts into a single “juvenile” stage for the purposes of watershed management may mask important habitat use dynamics.