一种新型阳光蔬菜工厂C系列919温室

为了解决高寒及长江流域以南多雨地区土墙温室难建问题及实现温室育种、种植自动化、机械化作业,研发了一种新型装配式冬暖式C919温室,温室通过组装完成,采用钢制螺旋桩,不用焊接,只需在地下打螺旋桩,即可实现全天候施工。温室采用五防设计(防台风、防雨、防雪、防低温、防高温),具有土地利用率高(75%左右)、建设周期短(千亩园区建设周期90 d)、设计寿命长(50年)、材料环保(采用宝钢BFS 600高强不锈钢)、建设成本使用周期费用摊销低(土墙温室的70%)、运营维护成本低(土墙温室的50%)、机械作业用工少(减少人工60%以上)等优点,填补了高寒(-40 ℃以内)及长江流域以南多雨地区大跨度、装配式、全日光能源温室的空白。     

拔节期氮肥运筹对不同滴灌量下冬小麦光合特性及产量的影响

为探明拔节期氮肥运筹对不同滴灌量下冬小麦光合特性及产量的影响,在大田滴灌技术条件下,以‘新冬41号’为试验材料,研究4种拔节期氮肥运筹处理[N0(0 kg/hm²)、N1(90 kg/hm²)、N2(180 kg/hm²)、N3(270 kg/hm²)]对3种不同滴灌量[W1(1500 m³/hm²)、W2(3000 m³/hm²)、W3(3450 m³/hm²)]下冬小麦叶绿素含量（SPAD值）、叶面积指数(LAI)、叶片光合特性及产量的影响。结果表明,在3种滴灌量下各氮肥处理冬小麦拔节至乳熟期叶片SPAD值均呈“先增后降”的变化规律,最大值均在灌浆期;LAI呈现“先增后降”的变化规律,在孕穗期达最大。在同一施氮水平下,滴灌量增加,叶片的净光合速率(Pn)、蒸腾速率(Tr)、气孔导度(Gs)均增加,而胞间CO₂浓度(Ci)则降低。滴灌量较低时（W1处理）,增加拔节期施氮量能有效提高滴灌冬小麦的有效穗数、穗粒数、千粒重、产量和收获系数;水分充足时（W2、W3处理）,增加拔节期施氮量反而不利于产量的提高。综合考虑各项产量指标及氮肥利用效率得出,在滴灌量3000 m³/hm²条件下,拔节期施氮量180 kg/hm²时,滴灌冬小麦籽粒产量较高,氮肥利用率最大,可供生产参考。     

2016/2017冬中国气温偏暖的基本特征及可能成因

利用中国740余站观测的月平均2 m气温资料以及NCEP/NCAR再分析资料,通过动力学诊断的方法,对2016—2017年中国冬季异常偏暖现象进行了研究。结果发现：中国2016—2017年冬季气温偏暖主要是由于西伯利亚高压和阿留申低压偏弱导致东亚冬季风偏弱,在中国存在异常的偏南风。阿留申低压偏弱由两个因素引起,一是由于阿留申群岛地区的海温偏低,冷源对应异常高压导致阿留申低压偏弱;二是阿留申低压在东亚副热带高空西风急流出口区以北,然而该冬季高空西风急流出口区位置偏南,导致阿留申地区偏离急流出口减压区,从而导致阿留申低压偏弱。此外,西风带偏北,中高纬亚洲大陆上空以纬向环流为主,不利于冷空气南下。     

两系杂交油菜早中熟组合精量直播栽培性状比较研究

开展优质核不育两系杂交油菜早中熟新组合比较试验,结果表明:2种熟期类型杂交组合间产量差异明显,中熟组合单位面积产量极显著高于早熟组合,对比分析产量构成因子,主要是平均角粒数多和千粒重重,2种熟期类型组合间株高和一次分枝数差异较小,油菜菌核病感病程度中熟组合相对较轻。因此,油菜生产不可一味选择和使用早熟类型品种或组合,不然将较难获得理想产量和生产效益。     

基于叶气温差的生育中期冬小麦水分亏缺诊断研究

为了获取叶片尺度基于叶气温差的冬小麦生育中期水分亏缺诊断阈值,分析了冬小麦叶气温差的典型日变化及其与土壤水分、空气温度及太阳辐射等因子的相互关系,揭示了冬小麦叶气温差对光合气体交换参数的影响,确定了冬小麦叶片水分利用效率较适宜的非气孔限制值及叶气温差范围。结果表明,冬小麦叶气温差在不同的土壤水分条件下表现出不同的日变化规律,随光量子通量增加而升高,随土壤水分、气温增加而降低;4、5和6月冬小麦叶片水分利用效率较适宜的非气孔限制值范围分别为0.7~1.3、1.1~2.0和0.9~1.5,叶气温差控制范围分别为-1.2~0.4、-1.5~-1和-1.25~-0.9℃。     

不同用量松土促根剂对冬小麦产量的影响

研究了Agri-Star松土促根剂在冬小麦上的合理用量,为该产品大面积推广提供依据.结果表明,在正常旋耕施肥(配方肥750 kg/hm2+旋耕12 cm,CK2)的基础上,获得最高产量的松土促根剂施用量为18.13 kg/hm2,最佳经济施用量为16.87 kg/hm2,施用松土促根剂13.5 kg/hm2处理较CK2平均增产26.18％.施Agri-Star松土促根剂是小麦生产上值得推广的新技术.     

High night-time temperature during flowering and pod filling affects flower opening,yield and seed fatty acid composition in canola

Winter canola (Brassica napus L.) is highly sensitive to increasing temperatures during the reproductive and pod-filling stages. Although the impact of high day-time temperature stress on yield and quality has been documented in canola, similar information under high night-time temperature (HNT) stress is not available. Using six hybrids and four open-pollinated cultivars, we observed a marked shift in peak flowering towards earlier, cooler hours of the morning under HNT. Averaged across two independent experiments, the photochemical efficiency of photosystem II was significantly decreased (3%), with a significant increase in thylakoid membrane damage (13%) in the leaves of susceptible cultivars under HNT stress. Similarly, the susceptible cultivars also recorded significant reduction in biomass (34%), pod number (22%), pod weight (37%) and total seed weight (40%) per plant while the same set of agronomic traits were not affected among the tolerant cultivars. Quantitative impact of heat stress was confirmed with increased sensitivity to HNT exposure from gametogenesis until maturity resulting in a significantly higher yield loss compared to stress exposure from post-flowering till maturity. HNT significantly decreased oil concentration, but increased protein concentration and saturated fatty acid levels in seeds of the susceptible cultivars. However, HNT had no impact on the unsaturated fatty acids in both hybrids and the open-pollinated cultivars. Breeding targets based on fatty acid composition for enhancing canola seed quality may not be easily amenable due to the inconsistency documented with the compositional changes under heat stress. In summary, our findings conclude that canola hybrids are better suited to regions experiencing heat stress, compared to open-pollinated cultivars, indicating the possibility of a complete shift to hybrid canola cultivation under predicted hotter climates in the future.     

Relevance of Osmotic and Frost Protecting Compounds for the Winter Hardiness of Autumn Sown Sugar Beet

The cultivation of autumn sown sugar beet (winter beet) is supposed to result in a marked yield increase compared with spring sown sugar beet. Although the importance of the growth stage reached before winter for the survival of autumn sown sugar beet has already been shown, it is not clear to which extent osmotic and potentially frost protecting compounds may contribute to winter hardiness. The study thus aimed to analyse the acclimatization process of sugar beet to low temperatures and to identify compounds which are important for survival of frost. Field trials with autumn sown sugar beet were conducted at eleven environments in Germany from 2009/10 to 2012/13, which were accompanied by greenhouse experiments with controlled temperature regimes. In the field trials, the survival rates after winter varied from 0 % to 99 %, but only in four environments differences between the five genotypes occurred. During acclimatization, betaine, glutamine, proline and raffinose were markedly accumulated and osmolality was enhanced. In particular betaine, amino acids and osmolality showed a positive correlation to the survival rate and were thus identified as potentially frost protecting substances for sugar beet. In contrast, raffinose and proline seem to act rather as stress indicators as they were negatively related to survival. Possible frost protecting substances were identified which can be used in breeding to improve the winter hardiness of sugar beet.     

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.