转基因玉米的科学知识图谱研究——基于Citespace的计量分析

为了分析全球转基因玉米研究的热点与趋势,基于文献计量法,以Web of Science数据库核心期刊收录的2005—2015年间转基因玉米研究的文献为样本,利用Citespace软件对转基因玉米研究的科学知识图谱进行可视化分析。通过检索式检索,符合要求的文献共2851篇,经过排重筛选后为2701篇,文献量整体趋势呈平稳状态且有上升趋势。通过Citespace软件绘制关于学者合作网络、机构合作网络、文献共被引分析、作者共被引分析及关键词共现网络的科学知识图谱。通过聚类分析发现中国科研学者与机构在转基因玉米研究中占据数量优势,但是在引文被引方面,外国学者及其文章的重要性高于中国的学者及其文章。另外,全球转基因玉米研究热点主要围绕菌群、基因、蛋白质、稳定性等方面。     

施肥对复垦土壤微生物代谢功能与苗期玉米生长的影响

利用Biolog-ECO技术、WinRHIZO扫描仪及其图像分析技术，研究了对照CK（施肥量为0）、施复合肥F（施肥量为600 kg·hm^-2）、施有机肥O（施肥量为7 500 kg·hm^-2）、有机无机肥配施OF（施肥量为复合肥300 kg·hm^-2+有机肥3 750 kg·hm^-2）处理下煤矸石复垦区土壤微生物群落代谢功能及苗期玉米根系形态等特征，结果表明：不同施肥处理下煤矸石复垦区土壤微生物群落功能多样性差异显著，OF处理下土壤微生物多样性Shannon-wiener指数与Simpson指数最高，分别为3.22和0.96， Eveness指数最低，为0.21，而CK处理与之相反，Shannon-wiener指数与Simpson指数最低，分别为3.07和0.95，Eveness指数最高，为0.23；影响该区域土壤微生物群落代谢功能多样性的关键碳源包括6种氨基酸（L-精氨酸、L-天冬酰胺酸、L-苯基丙氨酸、L-丝氨酸、L-苏氨酸、甘氨酰-L-谷氨酸)、4种酯（D-半乳糖酸γ内酯、丙酮酸甲酯、吐温40、吐温80）、1种胺（腐胺）、5种酸（D-半乳糖醛酸、2-羟苯甲酸、4-羟基苯甲酸、r-羟基丁酸、D-苹果酸）、3种糖（-甲基D-葡萄糖苷、葡萄糖-1-磷酸盐、a-环状糊精）、3种醇（I-赤藻糖醇、D,L-a-甘油、D-甘露醇）；OF处理下玉米根系形态参数如根长、根体积、根系分形维数及玉米生物性状如生物量、茎粗、株高等与CK处理差异最为显著，说明OF处理有利于煤矸石复垦土壤质量的恢复与提高，利于煤矸石复垦区玉米生长。     

Maize/peanut intercropping increases photosynthetic characteristics, ~(13)C-photosynthate distribution,and grain yield of summer maize

Intercropping is used widely by smallholder farmers in developing countries to increase land productivity and profitability. We conducted a maize/peanut intercropping experiment in the 2015 and 2016 growing seasons in Shandong, China. Treatments included sole maize(SM), sole peanut(SP), and an intercrop consisting of four rows of maize and six rows of peanut(IM and IP). The results showed that the intercropping system had yield advantages based on the land equivalent ratio(LER) values of 1.15 and 1.16 in the two years, respectively. Averaged over the two years, the yield of maize in the intercropping was increased by 61.05% compared to that in SM, while the pod yield of peanut was decreased by 31.80% compared to SP. Maize was the superior competitor when intercropped with peanut, and its productivity dominated the yield of the intercropping system in our study. The increased yield was due to a higher kernel number per ear(KNE). Intercropping increased the light transmission ratio(LTR) of the ear layer in the maize canopy, the active photosynthetic duration(APD), and the harvest index(HI) compared to SM. In addition, intercropping promoted the ratio of dry matter accumulation after silking and the distribution of ~(13) C-photosynthates to grain compared to SM. In conclusion, maize/peanut intercropping demonstrated the potential to improve the light condition of maize, achieving enhanced photosynthetic characteristics that improved female spike differentiation, reduced barrenness, and increased KNE. Moreover, dry matter accumulation and ~(13) C-photosynthates distribution to grain of intercropped maize were improved, and a higher grain yield was ultimately obtained.     

冠菌素对玉米抗倒伏能力及产量的影响

在田间条件下，以玉米品种先玉335和郑单958为材料，在八展叶时于叶面喷施不同浓度 (0、0.01、0.1、1和10 μmol/L) 冠菌素 (COR)，研究了COR对玉米抗倒伏能力及产量的影响。结果表明:经10 μmol/L COR处理后，先玉335的株高和穗位高分别比对照降低了7.0%和19.9%，郑单958分别降低了20.8%和18.2%，单株叶面积、节间抗折断力、穗下第8~14节间长度和节间最大直径与对照间亦差异显著。且随着COR浓度的增加，先玉335和郑单958的株高、穗位高、单株叶面积和穗下第8~14 节间长度均逐渐降低；第8~14节间最大直径和节间抗折断力逐渐增大。经1 μmol/L COR处理后，2个供试玉米品种的产量、穗数、穗粒数和千粒重较对照均有所增加，其中先玉335的产量较对照增加了9.9%，郑单958增加了4.3%。综上所述，COR可以提高玉米的抗倒伏能力，不同品种玉米对COR的敏感性不同，其中先玉335抗倒伏的最适COR浓度为10 μmol/L，郑单958抗倒伏的最适COR浓度为1 μmol/L。     

基于条件植被温度指数的夏玉米生长季干旱预测研究

为验证条件植被温度指数(VTCI)在夏玉米生长季干旱预测中的适用性,以河北中部平原为研究区,应用求和自回归移动平均(ARIMA)模型及季节性求和自回归移动平均(SARIMA)模型,对该地区VTCI时间序列数据进行分析建模预测。首先基于49个气象站点所在像素的VTCI时间序列数据,选取不同长度时间序列建立ARIMA模型,并分析时间序列长度与预测精度间关系,以期为时间序列长度选择提供依据;然后选择理想长度的VTCI时间序列数据,分别建立ARIMA模型和SARIMA模型,用于研究区域2017年夏玉米生长季VTCI预测,并分析评价两模型预测精度;最后采用性能较好的ARIMA模型逐像素建模预测,得到2016-2018年9月上旬至下旬VTCI预测结果。结果表明:基于ARIMA模型的VTCI预测精度与时间序列长度未呈现明显的相关关系,但随时间序列长度增加,模型预测精度逐渐趋于稳定;ARIMA模型对干旱的预测精度高于基于SARIMA模型,其1步、2步、3步VTCI预测结果均方根误差较SARIMA模型分别降低0. 06、0. 07、0. 09;ARIMA模型在不同年份夏玉米生长季VTCI1~3步的预测精度稳定性较好,2016-2018年1步、2步和3步VTCI预测结果绝对误差绝对值大于0. 20的像素平均百分比分别为5. 84%、6. 38%、8. 72%。     

Quantitative trait loci mapping for yield-related traits under low and high planting densities in maize (Zea mays)

Average maize yield per hectare has increased significantly because of the improvement in high-density tolerance, but little attention has been paid to the genetic mechanism of grain yield response to high planting density. Here, we used a population of 301 recombinant inbred lines (RILs) derived from the cross YE478 × 08–641 to detect quantitative trait loci (QTLs) for 16 yield-related traits under two planting densities (57,000 and 114,000 plants per ha) across four environments. These yield-related traits responded differently to high-density stress. A total of 110 QTLs were observed for these traits: 33 QTLs only under low planting density, 50 QTLs under high planting density and 27 QTLs across both densities. Only two major QTLs, qCD6 and qWKEL2-2, were identified across low- and high-density treatments. Seven environmentally stable QTLs were also observed containing qED6, qWKEL3, qRN3-3, qRN7-2, qRN9-2 and qRN10 across both densities, as well as qRN9-1 under low density. In addition, 16 and eight pairs of loci with epistasis interaction (EPI) were detected under low and high planting densities, respectively. Additionally, nine and 17 loci showed QTL × environment interaction (QEI) under low- and high-density conditions, respectively. These interactions are of lesser importance than the main QTL effects. We also observed 26 pleiotropic QTL clusters, and the hotspot region 3.08 concentrated nine QTLs, suggesting its great importance for maize yield. These findings suggested that multiple minor QTLs, loci with EPI and QEI, pleiotropy and the complex network of “crosstalk” among them for yield-related traits were greatly influenced by plant density, which increases our understanding of the genetic mechanism of yield-related traits for high-density tolerance.     

云阳县玉米高产栽培技术探讨

云阳县是一个贫困落后山区县,为了改善生态环境,合理利用山区自然资源,保证粮食安全与农民增收,介绍了云阳县玉米高产栽培技术,提出进一步发展玉米生产的几点建议,以指导当地玉米生产。     

何首乌茎尖嫩叶主要营养成分分析及评价

测定了何首乌茎尖嫩叶的VB2、VC、粗纤维等主要营养成分含量和K、Fe、Zn等矿质元素含量,以期为何首乌茎尖嫰叶的合理开发利用提供理论依据。结果表明,何首乌茎尖嫩叶营养丰富,各种营养成分较为全面,其主要营养成分和矿质元素含量也远远高于其他4种常见蔬菜,这为何首乌茎尖嫩叶的食用价值提供了科学依据,也为改善人们的膳食营养和餐饮文化、开发蔬菜资源及提高其利用价值提供了参考。     

榆林市风沙区杨树叶和松针不同生长期营养成分分析

由于大部分养殖户或养殖场对杨树叶和松针可以作为饲料原料来合理利用的了解甚少,以致于榆林市杨树及松针资源在饲料行业上的应用还不是很广泛。笔者通过对榆阳区西北风沙区2007年4、7、9、10月份(生长初期—落叶期)杨树叶和松针的主要营养成分进行测定,并对比分析,结果表明:两样本的粗纤维随生长的进行均呈明显上升趋势,而粗蛋白则均呈明显下降趋势,但粗脂肪、粗灰分、钙、磷、有机物、无氮浸出物等成分均无明显规律性。同时,杨树叶在生长的过程中粗蛋白、粗纤维含量变化趋势明显,而松针的则变化相对平稳。通过笔者的研究可以为榆林市开发杨树和松针资源作为饲料原料来利用提供一些有用的数据,并就杨树叶和松针做为榆林节粮饲料原料的利用方法上提一些建议供参考。     

Cause and Consequence in Maize Planting Dates in Germany

An important part of agricultural adaptation is the timing of crop sowing dates, affecting yields and the level of risk incurred during a particular season. Cold stress is especially relevant in maize, Zea mays L., so that the timing of planting in the spring is a tactical response to short‐term weather, but is also subject to strategic planning with regard to longer‐term climate. Both factors compare the potential implications of cold stress to the additional yield obtainable through earlier planting. New cultivars suited to growing conditions in Europe and generally increasing spring temperatures have enabled earlier planting, but it is still dependent on short‐term weather during the planting period. In the context of field‐level decision‐making, a panel regression is used to estimate the relationship between weekly local temperature and precipitation and planting dates at specific sites throughout Germany. Next, localised weather data and planting behaviour are linked to yields at the district (Landkreis) level to show the effects of planting date on yield. Based on these relationships optimal planting dates are explored with some associated costs and benefits. Results show a trend towards earlier planting that follows observed increasing spring temperatures and the availability of more cold‐tolerant cultivars but this advance is buffered by the increasing severity of minimum temperatures during a critical period. Earlier planting potentially increases yield but this is offset by additional management costs and risk. A robust and simple depiction of farmer behaviour in climatic, technological and economic context can help to understand trends in crop management and productivity that effect agricultural landscapes.