不同来源花生品种的ISSR分析及亲缘关系研究

利用13对ISSR引物对28个栽培种花生品种进行PCR扩增,研究这些品种的DNA多态性及其亲缘关系。结果表明,有7对引物检测到明显的多态性,从28个花生品种中扩增出90条带,其中多态性带达到79条,多态性比率为87.8%,平均每个引物可扩增出12.86条带,11.29条为多态性条带。品种间的遗传相似系数值在0.411~0.800之间,平均为0.620。在UPGMA聚类分析简单匹配系数值为0.57处,可把28个花生品种分成3个品种群。由此表明,这些不同来源的花生品种具有较高的DNA多态性,亲缘关系不同。     

基于实习基地建设的园林专业实践能力协同培养模式探索

园林专业具有实践性强的特点。建设实习基地的过程，可以作为园林专业多门课程的实践教学任务，有利于全方位地训练学生的实操能力。将不同课程的实验集中整合在实习基地建设的过程中，协同培养园林专业学生的实践能力。实践表明，该培养模式可以串联多门专业课程，并整合相关课程中重复的实践教学内容。有助于师生之间加强沟通，教学相长，并显著提升学生的学习兴趣和专业综合能力。     

农业生产基地项目环境影响评价要点分析及探讨

农业生产基地项目具有影响范围大、产品服务多元化等特点，涉及行业类别较多，其环境影响评价文件也相对复杂。环境影响评价报告编制单位应充分与建设方进行沟通，熟悉项目建设内容，挖掘项目可能的产生污染的环节和设施，明确环境影响范围和环境敏感点，并对项目损益进行两方面的分析。     

马铃薯地上部绿色组织中糖苷生物碱合成调控的研究

为提高马铃薯品种(系)地上部分糖苷生物碱(SGAs)的含量,增强其抗逆性并改良块茎的品质。克隆了马铃薯茄啶鼠李糖基转移酶基因(sgt3)cDNA和1,5–二磷酸核酮糖羧化酶小亚基基因启动子(rbcS P);对sgt3亚细胞定位预测显示,该蛋白不具有叶绿体转运肽、线粒体导肽和分泌信号肽序列,推测可能位于细胞质;将克隆的sgt3 cDNA片段及rbcS重组到pCEPSP载体上,构建了具有草甘膦抗性标记的绿色组织特异表达sgt3基因植物表达载体。通过农杆菌介导法对马铃薯品种‘陇薯3号’和‘夏波蒂’进行转化,共获得了12株抗草甘膦的阳性转基因植株。对转基因植株的目的基因表达水平和SGAs含量分析发现,地上部sgt3基因相对表达量较未转化植株提高1.3~3.0倍,SGAs含量增加20%~37%,而转基因植株的块茎中SGAs含量变化不显著。本研究的结果为进一步培育枝、叶中高SGAs而块茎中低SGAs的马铃薯抗性品种提供了理论依据。     

基于近红外光谱的沼液挥发性脂肪酸含量快速检测

挥发性脂肪酸（Volatile Fatty Acids，VFA）作为厌氧发酵过程的重要中间产物，其在厌氧反应器中的累积能够反映出产甲烷菌的不活跃状态或厌氧发酵条件的恶化。为了实现对农牧废弃物厌氧发酵进行过程分析和状态监控，将近红外光谱（Near Infrared Spectroscopy，NIRS）与偏最小二乘（Partial Least Squares，PLS）相结合构建玉米秸秆和畜禽粪便厌氧发酵液乙酸、丙酸和总酸含量快速检测模型。将竞争自适应重加权采样法（Competitive Adaptive Reweighted Sampling，CARS）与遗传模拟退火算法（Genetic Simulated Annealing algorithm，GSA）相结合构建CARS-GSA算法对沼液中的乙酸、丙酸和总酸进行特征波长优选，原始光谱数据1 557个波长点经预处理和波长优选后，得到乙酸、丙酸和总酸特征波长变量分别为135、101和245个，建立的回归模型验证决定系数分别为0.988、0.923和0.886，预测均方根误差（Root Mean Squared Error of Prediction，RMSEP）分别为0.111、0.120和0.727，相对分析误差分别为9.685、3.685和3.484，与全谱建模相比RMSEP分别减少了17.78%、15.49%和1.22%，能够满足农牧废弃物厌氧发酵过程发酵液中乙酸和丙酸含量的快速检测需求，基本满足总酸的检测需求。结果表明，通过构建CARS-GSA算法优选乙酸、丙酸和总酸的敏感波长变量，参与建模的波长点数量显著减少，有效降低了变量维度和模型复杂度，提升了回归模型检测精度和预测能力，为快速准确检测沼液VFA提供了新途径。     

基于配合力和遗传距离的甜高粱杂种优势预测

【目的】对甜高粱主要农艺性状进行杂种优势、一般配合力及特殊配合力分析,同时,分析配合力、表型遗传距离以及分子遗传距离用于杂种优势预测的可行性,为甜高粱的种质创新和杂交种选育提供理论参考。【方法】采用不完全双列杂交设计,以8个甜高粱不育系为母本及8个甜高粱恢复系为父本配制64个杂交组合。对亲本及杂交后代进行2年的性状调查,包括：出苗至开花日数、生育期、株高、穗长、茎粗、分蘖、单穗粒重、千粒重、籽粒产量、单株重、生物产量和含糖量。分析不同性状的杂种优势、一般配合力、特殊配合力、表型遗传距离、分子遗传距离以及配合力、遗传距离与杂种优势的相关性。【结果】各性状的中亲优势由强到弱分别为单株重、籽粒产量、单穗粒重、生物产量、株高、穗长、千粒重、茎粗、生育期、至开花日数、分蘖和含糖量,其中,生育期、至开花日数、分蘖和含糖量等性状为负优势。不同性状的中亲优势和超亲优势由强到弱的顺序基本相同。配合力分析表明,每个性状中,不同亲本的一般配合力相差较大,且不同组合的特殊配合力也有很大差异。大多数特殊配合力高的组合,其亲本的一般配合力也较高。杂种优势与配合力和遗传距离的相关性为单株重、籽粒产量、单穗粒重、生物产量、穗长、千粒重、分蘖以及含糖量等性状的杂种优势与其亲本的一般配合力和特殊配合力均为极显著正相关。生育期的杂种优势与特殊配合力为极显著正相关,至开花日数与特殊配合力为显著正相关。亲本间的表型遗传距离为2.86—6.82,分子遗传距离为0.50—0.96。单株重、籽粒产量、单穗粒重、生物产量、株高、穗长、茎粗及含糖量等性状的杂种优势与分子遗传距离的相关性大于表型遗传距离,其中,生物产量、单株重、穗长和茎粗的杂种优势与分子遗传距离为极显著正相关。【结论】所有性状中,与产量相关性状的杂种优势较高,而含糖量和分蘖的杂种优势较低。在杂种优势预测上,利用亲本的配合力可有效预测杂种优势,预测效果优于遗传距离。与表型遗传距离相比,分子遗传距离对杂种优势的预测更有效。     

An efficient method to produce segregating populations in quinoa (Chenopodium quinoa)

Quinoa offers a promising alternative for staple food, considering its outstanding nutritional value and tolerance to abiotic stresses. To develop breeding programmes in quinoa, a reliable crossing method for increasing the genetic variation is required. In the following study, we aimed to develop segregating populations in quinoa. We tested the efficiency of three different crossing methods (hand emasculation, warm water emasculation and no emasculation). Moreover we developed a two-stage selection strategy based on morphological traits and molecular markers for the selection of hybrid plants. We reported hand emasculation to be the most efficient crossing method, followed by warm water emasculation and no emasculation. Our results demonstrated that crosses in quinoa can be successfully performed, despite its complicated flower structure and high self-pollination rate. Additionally, we developed 30 segregating populations from crosses between accessions of different origins with varying phylogenetic relationship, which offers a promising perspective for quinoa breeding programmes in the future.     

Modelling soil erodibility in mountain rangelands of southern Kyrgyzstan

Soil erosion in mountain rangelands in Kyrgyzstan is an emerging problem due to vegetation loss caused by overgrazing. It is further exacerbated by mountain terrain and high precipitation values in Fergana range in the south of Kyrgyzstan. The main objective of this study was to map soil erodibility in the mountainous rangelands of Kyrgyzstan. The results of this effort are expected to contribute to the development of soil erodibility modelling approaches for mountainous areas. In this study, we mapped soil erodibility at two sites, both representing grazing rangelands in the mountains of Kyrgyzstan and having potentially different levels of grazing pressure. We collected a total of 232 soil samples evenly distributed in geographical space and feature space. Then we analyzed the samples in laboratory for grain size distribution and calculated soil erodibility values from these data using the Revised Universal Soil Loss Equation (RUSLE) K-factor formula. After that, we derived different terrain indices and ratios of frequency bands from ASTER GDEM and LANDSAT images to use as auxiliary data because they are among the main soil forming factors and widely used for prediction of various soil properties. Soil erodibility was significantly correlated with channel network base level (geographically extrapolated altitude of water channels), remotely sensed indices of short-wave infrared spectral bands, exposition, and slope degree. We applied multiple regression analysis to predict soil erodibility from spatially explicit terrain and remotely sensed indices. The final soil erodibility model was developed using the spatially explicit predictors and the regression equation and then improved by adding the residuals. The spatial resolution of the model was 30 m, and the estimated mean adjusted coefficient of determination was 0.47. The two sites indicated different estimated and predicted means of soil erodibility values (0.035 and 0.039) with a 0.05 significance level, which is attributed mainly to the considerable difference in elevation.     

结球甘蓝抽薹性遗传规律和QTL定位分析

以早抽薹‘S-1’与晚抽薹‘G-1’为亲本，构建F1、BC1、BC2和F2群体，采用植物数量性状主基因 + 多基因混合遗传模型分析法对结球甘蓝抽薹性状进行遗传分析，并采用SLAF-BSA方法对抽薹时间进行QTL定位分析。结果显示，结球甘蓝抽薹性状是由2对加性—显性—上位性主基因 + 加性—显性多基因遗传控制；主基因 + 多基因平均遗传率是93.41%。共检测到2个QTL，分别为2号染色体上的2.31 ~ 3.09 Mb和33.57 ~ 34.40 Mb，总长度为1.61 Mb。     

云南籽粒苋种质资源的表型多样性分析

为了系统分析云南籽粒苋种质资源的表型遗传多样性。采用遗传多样性指数、主成分分析、相关分析和聚类分析对104份云南籽粒苋种质资源的30个表型性状进行研究。结果表明,遗传多样性指数最高的质量性状和数量性状分别是主花序形状(1.68)和主花序长度(2.07)。前10个主成分累计贡献率达到73.944%,单株鲜体重与第3、第6、第9主成分极显著正相关,单株粒重与第9主成分极显著正相关。聚类分析将104份种质划分为5类,第Ⅰ类群可为间套种亲本材料,第Ⅱ和Ⅲ类群可为大粒亲本材料,第Ⅳ类群可为优质饲用亲本材料,第Ⅴ类群可为观赏类亲本材料。云南籽粒苋种质资源表型性状具有丰富的遗传多样性,有较大的开发利用潜力。