Performance and uncertainty analysis of a short-term climate reconstruction based on multi-source data in the Tianshan Mountains region,China

Short-term climate reconstruction, i.e., the reproduction of short-term(several decades) historical climatic time series based on the relationship between observed data and available longer-term reference data in a certain area, can extend the length of climatic time series and offset the shortage of observations. This can be used to assess regional climate change over a much longer time scale. Based on monthly grid climate data from a Coupled Model Inter-comparison Project phase 5(CMIP5) dataset for the period of 1850–2000, the Climatic Research Unit(CRU) dataset for the period of 1901–2000 and the observed data from 53 meteorological stations located in the Tianshan Mountains region(TMR) of China during the period of 1961–2011, we calibrated and validated monthly average temperature(MAT) and monthly accumulated precipitation(MAP) in the TMR using the delta, physical scaling(SP) and artificial neural network(ANN) methods. Performance and uncertainty during the calibration(1971–1999) and verification(1961–1970) periods were assessed and compared using traditional performance indices and a revised set pair analysis(RSPA) method. The calibration and verification processes were subjected to various sources of uncertainty due to the influence of different reconstructed variables, different data sources, and/or different methods used. According to traditional performance indices, both the CRU and CMIP5 datasets resulted in satisfactory calibrated and verified MAT time series at 53 meteorological stations and MAP time series at 20 meteorological stations using the delta and SP methods for the period of 1961–1999. However, the results differed from those obtained by the RSPA method. This showed that the CRU dataset produced a low degree of uncertainty(positive connection degree) during the calibration and verification of MAT using the delta and SP methods compared to the CMIP5 dataset. Overall, the calibrated and verified MAP had a high degree of uncertainty(negative connection degree) regardless of the dataset or reconstruction method used. Therefore, the reconstructed time series of MAT for the period of 1850(or 1901)–1960 based on the CRU and CMIP5 datasets using the delta and SP methods could be used for further study. The results of this study will be useful for short-term(several decades) regional climate reconstruction and longer-term(100 a or more) assessments of regional climate change.     

Cultivation effects on soil texture and fertility in an arid desert region of northwestern China

In arid desert regions of northwestern China, reclamation and subsequent irrigated cultivation have become effective ways to prevent desertification, expand arable croplands, and develop sustainable agricultural production. Improvement in soil texture and fertility is crucial to high soil quality and stable crop yield. However, knowledge on the long-term effects of the conversion of desert lands into arable croplands is very limited. To address this problem, we conducted this study in an arid desert region of northwestern China to understand the changes in soil physical-chemical properties after 0, 2, 5, 10, 17, and 24 years of cultivation. Our results showed that silt and clay contents at the 17-year-old sites increased 17.5 and 152.3 folds, respectively, compared with that at the 0-year-old sites. The soil aggregate size fraction and its stability exhibited an exponential growth trend with increasing cultivation ages, but no significant change was found for the proportion of soil macroaggregates (>5.00 mm) during the 17 years of cultivation. The soil organic carbon (SOC) content at the 24-year-old sites was 6.86 g/kg and increased 8.8 folds compared with that at the 0-year-old sites. The total (or available) nitrogen, phosphorus, and potassium contents showed significant increasing trends and reached higher values after 17 (or 24) years of cultivation. Changes in soil physical-chemical properties successively experienced slow, rapid, and stable development stages, but some key properties (such as soil aggregate stability and SOC) were still too low to meet the sustainable agricultural production. The results of this long-term study indicated that reasonable agricultural management, such as expanding no-tillage land area, returning straw to the fields, applying organic fertilizer, reducing chemical fertilizer application, and carrying out soil testing for formula fertilization, is urgently needed in arid desert regions.     

利用荧光观测明确载球孢白僵菌松毛虫赤眼蜂对亚洲玉米螟的防控增效作用

载球孢白僵菌松毛虫赤眼蜂能够显著提高对亚洲玉米螟的防控效果,为了明确其对亚洲玉米螟卵期及幼虫期可持续防控的作用机理,采用松毛虫赤眼蜂吸附绿色荧光蛋白（GFP）标记的球孢白僵菌分生孢子,进行赤眼蜂载菌情况,以及亚洲玉米螟卵和幼虫的寄生、侵染过程观察。结果表明,赤眼蜂羽化后能够吸附柞蚕卵表面粘附的白僵菌分生孢子,并将其携带至亚洲玉米螟卵块表面,并吸附于未被赤眼蜂寄生的亚洲玉米螟卵孵化的幼虫体表,实现侵染并致死,幼虫带菌率达60.00%,网室内杀虫生物测定僵虫率达27.00%。本研究表明,载菌赤眼蜂在提高杀虫效率的同时实现害虫可持续防控,该方法为其他载菌天敌的应用提供了依据。     

生物炭对Bt Cry1Ac蛋白抗紫外能力影响

为了研究生物炭对紫外线的防护作用,以豆壳烧制的生物炭作为载体,研究生物炭对Bt Cry1Ac蛋白的吸附行为以及生物炭对Cry1Ac蛋白的紫外保护作用。使用扫描电子显微镜、透射电子显微镜、X-射线粉末衍射以及傅立叶红外光谱等手段对生物炭的形貌和结构进行表征。结果表明,生物炭是典型的多孔结构材料,表面具有丰富的官能团。Cry1Ac蛋白与生物炭吸附平衡时间为50 min,最合适的吸附浓度比（生物炭：蛋白）为1：100,二者吸附符合准二级动力学模型和Langmuir模型。在UVB紫外照射4 h后,生物炭与Cry1Ac蛋白复合物对棉铃虫的生物活性是单纯蛋白的4.93倍,显示生物炭具有较好的紫外抵抗效果。研究结果初步表明,制备得到的生物炭能够显著提高Cry1Ac蛋白的抗紫外能力,为后续研发耐受紫外线的农药剂型提供新材料。     

玉米粉淀粉含量近红外模型建立与优化

以230份玉米自交系为样本,采用旋光法与一阶导数及去一条直线的光谱预处理法,构建玉米粉样淀粉含量的近红外分析（NIRS）模型。研究标明,该模型可显著提高子粒淀粉含量预测的准确性。该模型的定标标准偏差（RMSEE）、交叉验证标准偏差（RMSECV）、外部验证标准偏差（RMSEP）、定标相关系数（R_cal²）、交叉验证相关系数（R_cv²）、外部验证相关系数（R_cv²）分别为0.609、0.722、0.738、0.909、0.864和0.854。建立的玉米粉样NIRS模型可将预测值与化学值偏差控制在1.7%内,能够准确定量分析玉米子粒淀粉含量,应用于育种材料早期筛选及群体水平粗淀粉分析。     

分子标记辅助选择改良水稻恢复系香5的病虫抗性

香5是由湖北省农科院选育的优质两系杂交稻恢复系,所配组合广两优5号(广占63-4S/香5)于2013年通过了湖北省审定.利用回交和分子标记辅助选择技术,将供体亲本MD12086-1351中的抗稻瘟病基因Pi9、抗褐飞虱基因Bph14、Bph15和抗白叶枯病基因Xa23渗入到香5背景中,育成了3个同时携带Pi9、Bph14、Bph15和Xa23基因的新株系.鉴定结果表明,新株系的叶瘟抗性明显提高,穗颈瘟抗性部分提高,苗期抗褐飞虱,分蘖盛期高抗白叶枯病;产量、主要农艺性状、香味和稻米品质主要指标与香5相似.新株系所配的组合在产量、主要农艺性状上与香5所配的组合相似.表明新株系可以作为香5的替代系用于培育抗稻瘟病、抗褐飞虱和抗白叶枯病的两系杂交稻新组合.     

不同春玉米品种茎秆显微结构对抗折强度的响应

以冀西北寒旱区9个春玉米品种为研究对象,通过测定玉米基部第3节抗折强度,利用光学显微镜观察其茎节显微结构,对维管束各项显微指标与节折强度进行相关分析,研究春玉米节折强度与茎秆显微结构之间的关系。结果表明,不同春玉米品种间节折强度达显著水平。对各品种维管束显微指标进行统计分析表明,维管束鞘厚度和表皮细胞厚度变异系数最大,分别达到34.8%和23.2%;茎节维管束数目增多不利于节折强度的提高(r=-0.945**,r=-0.927**),维管束平均面积、韧皮部面积增大有利于节折强度的增加(r=0.831*,r=0.799*;r=0.733*,r=0.786*)。通径分析表明,维管束数目对节折强度的直接效应最大,表皮细胞厚度次之,维管束最大面积、维管束鞘厚度、韧皮部面积等指标也通过维管束数目对茎折强度起间接作用。参试品种中,京农科728、纪元108维管束数目较少,维管束平均面积、韧皮部面积较大,茎折强度较高,抗倒伏性优于其他品种。