Performance of DSSAT-Nwheat across a wide range of current and future growing conditions

Crop models are widely used in agricultural impact studies. However, many studies have reported large uncertainties from single-model-based simulation analyses, suggesting the need for multi-model simulation capabilities. In this study, the APSIM-Nwheat model was integrated into the Decision Support System for Agro-technology (DSSAT), which already includes two wheat models, to create multi-model simulation capabilities for wheat cropping systems analysis. The new model in DSSAT (DSSAT-Nwheat) was evaluated using more than 1000 observations from field experiments of 65 treatments, which included a wide range of nitrogen fertilizer applications, water supply (irrigation and rainout shelter), planting dates, elevated atmospheric CO₂ concentrations, temperature variations, cultivars, and soil types in diverse climatic regions that represented the main wheat growing areas of the world.DSSAT-Nwheat reproduced the observed grain yields well with an overall root mean square deviation (RMSD) of 0.89 t/ha (13%). Nitrogen applications, water supply, and planting dates had large effects on observed biomass and grain yields, and the model reproduced these crop responses well. Crop total biomass and nitrogen uptake were reproduced well despite relatively poor simulations of observed leaf area measurements during the growing season. The low sensitivity of biomass simulations to poor simulations of leaf area index (LAI) were due to little changes in intercepted solar radiation at LAI >3 and water and nitrogen stress often limiting photosynthesis and growth rather than light interception at low LAI.The responses of DSSAT-Nwheat to temperature variations and elevated atmospheric CO₂ concentrations were close to observed responses. When compared with the two other DSSAT-wheat models (CERES and CROPSIM), these responses were similar, except for the responses to hot environments, due to different approaches in modeling heat stress effects.The comprehensive evaluation of the DSSAT-Nwheat model with field measurements, including a comparison with two other DSSAT-wheat models, created a multi-model simulation platform that allows the quantification of model uncertainties in wheat impact assessments.     

籽用西葫芦新品种比较试验

为了解决新疆昌吉地区籽用西葫芦品种繁杂、产量不高、效益不好等问题,从山西省引进10个籽用西葫芦新品种,通过田间试验比较分析了各品种的生育期、植物学性状、果实性状、籽粒性状、抗病性及产量等指标,初步筛选出3个适合新疆昌吉地区种植的籽用西葫芦品种,分别为籽瑞宝、ZHL-3和华仁九号,3个品种白粉病、病毒病发病率均在10%及以下,667 m~2籽粒产量175 kg以上。     

赤峰市苦荞麦品种比较试验初报

为筛选赤峰市适宜种植的苦荞品种,2011年在赤峰市进行9个苦荞麦品种比较试验.结果表明：西荞1号、黔苦3号、苦荞04-46、川荞1号、黔苦5号、晋荞麦2号、西荞2号、六苦2081产量均比对照CK-10-2高,适宜当地推广种植.     

永定县烟后作稻氮磷钾肥料效试验研究

采用“3414”田间肥效试验方案,在3个试验点进行烟后作稻田间试验,研究永定县烟后作稻的氮磷钾肥效和最挂施用量.试验结果表明：合理施用氮磷钾肥可有效提高烟后作稻的产量,烟后作稻施用适量氮磷钾肥即处理6,可分别增产20.3％、4.9％和9.0％.在试验条件下,烟后作稻的氮磷钾经济施肥量为N 1116 kg/hm2、P2O531 kg/hm,2、K2O 81 kg/hm2、预计产量7 926 kg/hm2.     

肉牛源细极链格孢菌的分离鉴定

为鉴定肉牛皮肤病病原及其致病性并筛选其敏感药物,本研究取患皮肤病肉牛病变部位皮屑、毛发和痂皮进行病原菌的分离,并对分离菌株进行了形态学鉴定、ITS序列分析、小鼠致病性试验和药敏试验。结果显示分离到1株形态特征与细极链格孢菌极其相似的菌株(PY2-1-2);经PCR扩增、测序和BLAST序列比对,结果显示分离株(PY2-1-2)的ITS基因序列与细极链格孢菌(MG975630.1)的ITS基因序列的相似性为99%,分离株PY2-1-2的ITS基因序列长度为543 bp,该片段包括ITS1、5.8S rDNA和ITS2的全部基因序列以及18S rDNA和28S rDNA的部分基因序列,提交GenBank(MH656780.1)。根据形态学结合ITS基因序列分析结果确定该分离株为细极链格孢菌。小鼠致病性试验结果显示该菌对小鼠有致病性。药敏试验结果显示:该菌对灰黄霉素、氟康唑、伊曲康唑、酮康唑的最小抑菌浓度(MIC)值分别为0.5μg/mL、4μg/mL、1μg/mL、1μg/mL。本研究为今后进一步探究细极链格孢菌引起的皮肤病诊治提供科学有效的参考。     

仙草多糖提取工艺条件优化研究

采用水提法浸提仙草，以仙草多糖的提取率为指标，研究料液比、浸提温度、浸提时间及浸提次数4个因素对其提取率的影响，并从中挑取合适的因素水平进行正交试验及SPSS分析。结果表明：在这4个因素中，对提取率影响最大的因素是浸提温度，然后是浸提时间，再次是料液比，最后是浸提次数；在料液比1:60、温度100 ℃、浸提时间3 h的最优条件下，仙草多糖的提取率高达17.89 %，此时仙草多糖的含量为44.13 %。     

YWS-1型烟田挖坑施肥机的研究设计与应用

为了更好地解决“烟草三农”问题，针对我国烟草种植落后的现状和发展趋势，研究和应用具有稳定挖坑和精量施肥等功能YWS-1型烟田挖坑施肥机。通过性能和生产试验测定和效益分析证明，该机具各项技术、性能指标符合设计要求，解决了烟草种植的问题，具有一定的创新特点和较好的推广和应用价值。     

两个林龄15个桉树无性系生长比较

对福建长泰岩溪林场两个林龄的15个桉树无性系进行调查分析，结果表明：5 a、15 a 时，各无性系树高、胸径、单株材积、公顷蓄积差异极显著。5 a 时 W7、DH32-27、EC1、DH32-22、209X 等为高产无性系；15 a 时 EC1、DH32-27、209X、W7、岩97、DH32-22、LH3、LH1为高产无性系。W5、LPT、LH22、W6等无性系生长缓慢，可能不适应闽南山地环境。选择这些适应闽南山地环境的优良无性系与 DH32-29等进行混系造林或嵌合造林，有利于增加桉树速丰林的遗传基因多样性。     

Estimation of Crown Temperature of Winter Wheat and the Effect on Simulation of Frost Tolerance

Accurate estimation of winter wheat frost kill in cold‐temperate agricultural regions is limited by lack of data on soil temperature at wheat crown depth, which determines winter survival. We compared the ability of four models of differing complexity to predict observed soil temperature at 2 cm depth during two winter seasons (2013‐14 and 2014‐15) at Ultuna, Sweden, and at 1 cm depth at Ilseng and Ås, Norway. Predicted and observed soil temperature at 2 cm depth was then used in FROSTOL model simulations of the frost tolerance of winter wheat at Ultuna. Compared with the observed soil temperature at 2 cm depth, soil temperature was better predicted by detailed models than simpler models for both seasons at Ultuna. The LT50 (temperature at which 50 % of plants die) predictions from FROSTOL model simulations using input from the most detailed soil temperature model agreed better with LT50 FROSTOL outputs from observed soil temperature than what LT50 FROSTOL predictions using temperature from simpler models did. These results highlight the need for simpler temperature prediction tools to be further improved when used to evaluate winter wheat frost kill.     

试验条件对标准橡胶塑性初值和保持率的影响与分析

通过测试不同厚度的试样和改变相同厚度试样的老化时间及温度来验证和分析试样厚度对塑性初值（P0）、老化条件对塑性保持率（PRI）的影响。试验表明,在其它试验条件不变的情况下,试样厚度偏大塑性初值（P0）也相应偏大,老化时间越长和老化温度越高,老化后的P30和塑性保持率（PRI）就越小。