Low soil temperature reducing the yield of drip irrigated rice in arid area by influencing anther development and pollination

Drip irrigation can produce high rice yields with significant water savings; therefore, it is widely used in arid area water-scarce northern China. However, high-frequency irrigation of drip irrigation with low temperature well water leads to low root zone temperature and significantly reduce the rice yield compared to normal temperature water irrigated rice, for example, reservoir water. The main purpose of this paper is to investigate the effects of low soil temperature on the yield reduction of drip irrigated rice in the spike differentiation stage. The experiment set the soil temperatures at 18°C, 24°C and 30°C under two irrigation methods(flood and drip irrigation), respectively. The results showed that, at the 30°C soil temperature, drip irrigation increased total root length by 53% but reduced root water conductivity by 9% compared with flood irrigation. Drip irrigation also increased leaf abscisic acid and proline concentrations by 13% and 5%, respectively. These results indicated that drip irrigated rice was under mild water stress. In the 18°C soil temperature, drip irrigation reduced hydraulic conductivity by 58%, leaf water potential by 40% and leaf net photosynthesis by 25% compared with flood irrigation. The starch concentration in male gametes was also 30% less in the drip irrigation treatment than in the flood irrigation treatment at soil temperature 18°C. Therefore, the main reason for the yield reduction of drip irrigated rice was that the low temperature aggravates the physiological drought of rice and leads to the decrease of starch content in male gametes and low pollination fertilization rate. Low temperature aggravates physiological water deficit in drip irrigated rice and leads to lower starch content in male gametes and low pollination fertilization rate, which is the main reason for the reduced yield of drip irrigated rice. Overall, the results indicated that the low soil temperatures aggravated the water stress that rice was under in the drip irrigated environment, causing declines both in the starch content of male gametes and in pollination rate. Low temperature will ultimately affect the rice yield under drip irrigation.     

A critical sites network for freshwater biodiversity in the Lake Victoria Basin

The Lake Victoria Basin (LVB) is known for its high levels of species richness and endemism. Freshwater ecosystems within this region are highly threatened, putting both biodiversity and human livelihoods at risk. Protected areas (PAs) should provide the foundation for conservation actions to tackle threats but currently poorly represent freshwater species. To address this issue, systematic conservation planning (Marxan) was used to identify networks of sites within the LVB for the conservation of freshwater biodiversity, based on existing Key Biodiversity Areas (KBAs) and PAs, and with minimal cost in terms of area and human impact. Networks were identified separately for threatened species and/or those endemic to the LVB, and those susceptible to the impacts of climate change. Here, these were combined to present an overall sites network for the conservation of freshwater biodiversity. Site‐level recommendations are provided as a scientific basis for the development and expansion of the existing network.     

基于评价模型的宁夏沙土春玉米最佳灌水施氮量研究

为分析不同水氮供应对宁夏沙土春玉米主要评价指标的影响,采用灌水和施氮2因素交互设计,灌水量设置3个水平(W0.6(0.6KcET0)、W0.8(0.8KcET0)和W1.0(KcET0),Kc为作物系数,ET0为潜在作物蒸发蒸腾量),施氮量设量4个水平:N150(150 kg/hm2)、N225(225 kg/hm2)、N300(300 kg/hm2)和N375(375 kg/hm2),进行了大田试验。结果表明:灌水量和施氮量的交互作用对产量、水分利用效率(WUE)和氮肥偏生产力(PFPN)有极显著影响,对地上部干物质累积量和籽粒氮素累积量有显著影响;在相同灌水条件下,春玉米地上部干物质累积量、产量、WUE均随施氮量的增加先增加后减小。主成分分析法、隶属函数分析法、灰色关联度分析法与基于组合赋权的TOPSIS模型两两之间具有良好的相关性,各模型之间相关系数均值为0.465～0.787;基于整体差异组合评价模型得出W0.8N300评价值最高。考虑试验区年际降雨量分布不均,经回归分析拟合得出,当春玉米生育期内灌水量与有效降雨量之和为544 mm、施氮量为260 kg/hm2时,春玉米综合指标评价值最高(1.47),为适宜的春玉米滴灌灌水施肥量。本研究可为沙土地区春玉米滴灌施肥过程中水氮科学管理提供指导依据。     

浅埋滴灌水氮运筹对春玉米产量及水分利用效率的影响

采用二因素二次饱和D-最优设计，于2016-2017年在辽西半干旱区移动遮雨棚内进行了水氮精量控制试验，设灌溉量和施氮量2个因素，灌溉量分别设145.4、271.7、348.2、436.2 mm 4个水平，施氮量分别设0、84.6、136.1、195.0 kg·hm^-2 4个水平，共6个处理。试验分析了水氮交互作用对春玉米产量和水分利用效率的影响，建立了产量回归模型。研究结果表明：浅埋滴灌条件下，灌溉量在145.4~350.5 mm时，春玉米产量随灌溉量的增加而增高至11 005.60 kg·hm^-2；灌溉量在350.5~436.2 mm时，产量随灌溉量的增加而降低至10 730.09 kg·hm^-2；施氮量在0~146.9 kg·hm^-2时，产量随施氮量的增加而增高至10 983.19 kg·hm^-2，施氮量在146.9~195.0 kg·hm^-2时，产量随施氮量的增加而降低至10 862.39 kg·hm^-2。灌溉量因素的影响大于施氮量，水氮之间有明显的正向交互效应，当灌溉量为373.1 mm，施氮量为165.6 kg·hm^-2时产量最高。作物耗水量在拔节-抽雄期和灌浆-收获期较大，分别为115.64、127.50 mm；水分利用效率随灌溉量的增加呈逐渐降低趋势，降低幅度达到52.21%，随着施氮量的增加则呈先升高后降低趋势，增幅为14.73%~20.08%；其中处理6（灌溉量348.2 mm，施氮量195.0 kg·hm^-2)最利于水分利用效率的提高。综合产量和水分利用效率两方面的因素，初步建立了春玉米浅埋滴灌水氮施用优化模式，参数组合为灌溉量348.2 mm、施氮量165.6 kg·hm^-2。     

Phytophthora oleae,a new root pathogen of wild olives

Wild olive (Olea europaea subsp. europaea var. sylvestris) is an important component of Mediterranean forests and a key genetic source for olive improvement programmes. Since 2009, a severe decline caused by Phytophthora cryptogea and P. megasperma has been detected in a protected wild olive forest of high ecological value (Dehesa de Abajo, Seville, Spain). In this natural forest, sampling of roots and soil was carried out on 25 wild olives with symptoms in 2014 and 2015. Apart from the already known P. cryptogea A1 and P. megasperma, a third Phytophthora species was consistently isolated from wild olive rootlets with symptoms. These isolates conformed morphologically with the newly described species P. oleae and were confirmed by analysis of their ITS regions and cox1 sequences. Temperature–growth relationships showed a maximum growth at 19.9 °C on carrot agar medium, making it the lowest temperature Phytophthora species infecting wild olive roots. Pathogenicity was confirmed on 1-year-old healthy wild olive seedlings and was similar to the previously known pathogenic phytophthoras. As temperature requirements are quite different, the three Phytophthora species may be active against wild olive roots in different seasons. However, the prevalence of P. oleae infecting wild olives in recent years could be due to its introduction as a new invasive pathogen. The probable invasive nature of P. oleae, together with increasing rain episodes concentrated in short periods frequent in southern Spain, would allow the outbreak of infections in wild olive forests, and also put cultivated olive orchards at risk.     

基于多时相双极化SAR数据的作物种植面积提取

及时准确地获取农作物的空间分布信息和种植面积,在农业生产管理与农业政策的制定等斱面具有非常重要的作用。本文以多时相Sentinel-1A影像(4月17日、5月5日、6月16日、7月22日、8月27日、9月2日)为主要数据源,根据研究区作物的物候特征,提取棉花、玉米和果树在不同生长期的后向散射系数(Sigma)和归一化后向散射系数(Gamma)。通过对作物不同极化、不同时相后向散射系数的统计,建立散射特征时序变化曲线,幵分析其特征。利用人工神经网络(Artificial neural network)、支持向量机(Support vector machine)和随机森林(Random forest) 3种分类斱法对研究区的主要农作物迚行分类识别以及种植面积提取,幵对分类结果对比分析和验证。结果表明, 1)棉花的后向散射系数在6月现蕾期和7月开花期明显上升,8月仹达最高值,变化特征最明显,易与其他作物区分;玉米和果树的后向散射系数在9月仹与其他地物之间表现出显著差异。2)相较于神经网络和支持向量机,随机森林的分类效果最好,总体精度达88.97%。其中,对棉花和果园的分类精度为90.88%和93.17%,对玉米的分类效果最差,仅有71.6%。综上所述,多时相双极化SAR数据在不同类型作物的识别及面积提取斱面具有一定的应用潜力。     

内蒙古牧区现代化建设中畜牧业高质量发展对策的研究

在对内蒙古部分牧业旗（县）实地调研的基础上,总结分析以33个牧业旗（县）为代表的内蒙古牧区畜牧业发展取得的进步和存在的主要问题,系统地提出了注重产业化经营、注重规划专业化生产布局、注重草原畜牧业生产方式转变、注重良种繁育体系建设、注重调整畜群结构及繁育方式、注重农牧区饲草资源互补利用体系建设的“六注重”牧区畜牧业高质量发展建议,以期为推进内蒙古牧区现代化建设提供参考。     

南水北调中线工程生态补偿计算研究

跨流域调水生态补偿的计算方法和考虑因素直接影响着受水区在调水工作中的参与热情.本研究以南水北调陕西汉中、安康、商洛水源区及京、津、冀、豫受水区为研究区,在考虑水源区水土保持建设、受水区水市场情况、水源区水资源价值、水源区排污权损失价值基础上,加入未来水资源调度机会成本、市民意愿支付差价占比及意愿支付补偿额占比,重新计算生态补偿总量.得陕西水源区当前可计算的受水区补偿额为62.42亿元/年.为发展中南水北调中线工程生态补偿计算提供新的计算思路和方法.     

基于最大熵（MaxEnt）模型对西北地区2种红砂属植物潜在适宜区预测分析

基于黄花红砂与五柱红砂的现有分布数据，利用地理信息系统（ArcGIS）技术与最大熵（MaxEnt）模型软件，对2种红砂属植物在3个时期的潜在适宜分布区进行模拟。结果表明:1）五柱红砂的潜在适宜分布区主要在青海地区、新疆南疆地区以及甘肃部分地区；黄花红砂的潜在适宜分布区主要集中在宁夏地区、内蒙古地区、甘肃地区以及新疆与青海部分地区。2种红砂属植物在3个时期的潜在适宜分布区有所增加。黄花红砂的潜在适宜区朝着东北方向移动，五柱红砂的潜在适宜区出现收缩现象。2种红砂属的低适宜区相比较高适宜区与较适宜区变化较大。2）黄花红砂与五柱红砂通过MaxEnt模型运算出的AUC值均>0.9，表明MaxEnt模型预测精度很高。可以用于2种红砂属植物的潜在适宜分布区的预测。3）控制黄花红砂潜在分布的关键环境变量为最湿月降水量、最暖季度降水量和最湿季度降水量，影响五柱红砂潜在分布的关键环境变量为海拔、等温性和温度季节性变化。上述研究结果对2种红砂属植物资源保护利用与未来分布趋势提供了重要的指导意义。     

高寒牧区黑麦和箭筈豌豆混播对草产量和营养品质的影响研究

为筛选适宜甘肃高寒牧区的箭筈豌豆与黑麦混播组合及比例，采用裂区设计，研究了3个箭筈豌豆品种（绿箭1号、绿箭2号和绿箭431）与黑麦新品系C33在不同混播比例（0∶100、20∶80、30∶70、40∶60、50∶50、60∶40、70∶30、80∶20、100∶0）下的生产性能及营养品质。结果表明，从混播组合看，A?（C33×绿箭1号）的平均干草产量（7.16 t·hm^-2）和综合评价值（0.860）较高；从混播比例看，B?（60∶40）的平均干草产量（8.01 t·hm^-2）和综合评价值（0.691）最高；混播组合和混播比例间的交互作用表明，A?以B?比例混播时干草产量（9.03 t·hm^-2）和综合评价值（0.711）最高。