不同种植密度对机采辣椒品种性状和产量的影响

为明确不同种植密度对机采辣椒品种性状、产量的影响,以适宜机采的辣椒‘辣研102’为研究对象,设置4个种植密度（P0:38 480株/hm²、P1:51 307株/hm²、P2:76 961株/hm²、P3:102 615株/hm²）,分别于贵阳、遵义两地开展田间小区试验。结果表明,随着种植密度的增加,辣椒株高呈增加趋势,茎粗呈下降趋势。辣椒根部、地上部生物量均在高密植条件下（P3）时达到最小。辣椒的发病率与病情指数均随种植密度的增加而显著提高,高密植处理条件下（P3）达到最大,发病率分别为41.67%（贵阳）、43.33%（遵义）,病情指数分别为31.05%（贵阳）、29.86%（遵义）。过高的种植密度导致单株辣椒光合作用大幅下降:P1、P2、P3处理条件下光合速率分别较P0处理显著降低13.94%、24.73%、29.66%（遵义）;P1、P2、P3处理条件下辣椒叶片蒸腾速率较P0降低10.02%、19.81%、42.12%（贵阳）。辣椒总产量随种植密度增加而显著提高,而商品果产量随种植密度的增加呈先增加后降低的趋势。商品果产量在P1条件下获得最大值,相对于P0、P2、P3贵阳辣椒商品果产量显著提高了16.43%、32.81%、41.67%,遵义提高了20.25%、26.67%、61.02%。综合辣椒生长与商品果产量,贵州机采辣椒‘辣研102’最佳种植密度为51307株/hm²。     

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.     

鹿肚耳与3种木耳的营养价值评价

综述皱木耳Auricularia delicata新品种"鹿肚耳"的形态特征和食用特点,测定其与黑木耳、毛木耳、毛木耳白色变种"玉木耳"人工栽培子实体的基本营养成分、矿质元素含量和氨基酸组成,评价其营养价值。结果表明:鹿肚耳热量235 kJ/100g、蛋白质7.21 g/100g、脂肪1.5 g/100g、碳水化合物48.4 g/100g、总膳食纤维29.3g/100g,含有5种常量元素、5种必需微量元素,其中,硒元素含量是黑木耳的4.6倍;含有人体所需的8种必需氨基酸,氨基酸化学评分(CS)和氨基酸评分(ASS)分别为12和18.86,色氨酸为其限制性氨基酸;蛋白质综合评价低于其他3种木耳。     

基于距离相关系数和KNN回归模型的森林蓄积量估测研究

【目的】探究Landsat8 OLI数据和KNN算法在森林蓄积量估测中的潜力。【方法】以湖南省湘潭县为研究区,采用Landsat8 OLI数据和同时期的二类调查数据,通过距离相关系数筛选特征,分别采用线性回归模型(MLR)、K-近邻模型(KNN)、距离加权KNN模型(DW-KNN)和优化欧式KNN模型(FW-KNN)对森林蓄积量进行估测。使用十折交叉方法进行精度检验,对检验结果进行对比分析。【结果】3种KNN模型的估测结果均高于传统的线性模型,并且在3种KNN模型中,FW-KNN算法效果最好,决定系数达到0.69,为3种模型中最高;3种KNN模型中,本研究优化欧氏距离KNN模型的估测精度最高,其均方根误差为30.3%,相比于传统KNN模型的均方根误差降低了5.1%,相比于DW-KNN模型降低了3.3%。【结论】采用DW-KNN蓄积量估测结果明显优于其他两种模型,说明通过特征与蓄积量的相关性优化样本间的距离是一种可行的KNN优化方法。     

Expression of Anti-Lipopolysaccharide Factor Isoform 3 in Chlamydomonas reinhardtii Showing High Antimicrobial Activity

Antimicrobial peptides are a class of proteins with antibacterial functions. In this study, the anti-lipopolysaccharide factor isoform 3 gene (ALFPm3), encoding an antimicrobial peptide from Penaeus monodon with a super activity was expressed in Chlamydomonas reinhardtii, which would develop a microalga strain that can be used for the antimicrobial peptide production. To construct the expression cluster, namely pH2A-Pm3, the codon optimized ALFPm3 gene was fused with the ble reporter by 2A peptide and inserted into pH124 vector. The glass-bead method was performed to transform pH2A-Pm3 into C. reinhardtii CC-849. In addition to 8 μg/mL zeocin resistance selection, the C. reinhardtii transformants were further confirmed by genomic PCR and RT-PCR. Western blot analysis showed that the C. reinhardtii-derived ALFPm3 (cALFPm3) was successfully expressed in C. reinhardtii transformants and accounted for 0.35% of the total soluble protein (TSP). Furthermore, the results of antibacterial assay revealed that the cALFPm3 could significantly inhibit the growth of a variety of bacteria, including both Gram-negative bacteria and Gram-positive bacteria at a concentration of 0.77 μM. Especially, the inhibition could last longer than 24 h, which performed better than ampicillin. Hence, this study successfully developed a transgenic C. reinhardtii strain, which can produce the active ALFPm3 driven from P. monodon, providing a potential strategy to use C. reinhardtii as the cell factory to produce antimicrobial peptides.     

优质、高产转基因抗虫棉杂交种苏杂668的选育与栽培技术

本文概述了苏杂668的选育过程，阐明了苏杂668的特征特性、产量水平、纤维品质和抗性表现，并提出其高产栽培技术措施。     

郁金香新品种‘黄玉’

‘黄玉’是从郁金香‘Golden Apeldoorn’的芽变中选育的新品种。株高37 cm，花单生于茎顶，鲜黄色，外轮花瓣外侧黄绿色。生育期75 d，盛花期13 d，花朵品质高，抗寒能力强，是优良的盆栽和园林绿化品种。     

优质、低酚棉花新品种苏棉158的选育及其高产栽培技术

介绍了苏棉158的选育过程、特征特性、产量水平、纤维品质和抗病性、抗虫性及高产高效栽培技术。     

Spatio-temporal pattern evolution and spatial spillover effect of green development efficiency: Evidence from Shandong Province,China

Improving green development efficiency is urgently required, yet challenging, since it comprehensively reflects the bidirectional evolutionary relationship between regional development and resource and environmental consumption. The issue of regional green development efficiency has become a key topic; however, where the increase in efficiency originates and its spatial spillover effect remains unclear to date. Therefore, the spatial spillover effect of the green development efficiency of Shandong Province was quantified through the slack variable (SBM)-Undesirable and Spatial Durbin model. The green development efficiency showed clear spatial differentiation in Shandong Province. This was more obvious than the polarized development trend of the provincial capital circle that has Jinan at its core and the eastern coastal region with Qingdao at its core. Green development efficiency has a significant spatial spillover effect. The regression coefficient of the direct effect of the economic development level is positive. The regression coefficient of the indirect effect of the marketization level and government financial support level is negative. Science and technology played a positive role in the promotion of the green development efficiency of local and neighboring cities. This study contributes empirical evidence to the green development efficiency associated with regional development and resource and environment consumption of Shandong Province.