后备公猪的科学选育与利用

后备公猪的科学选育及利用直接影响猪场制种效果和经济效益,同时也能体现规模化猪场的制种技术与水平。文章针对后备公猪选育的基本环节和操作要点,从如何选种选育、科学饲养管理、合理配种利用等方面进行系统阐述,为规模化猪场后备公猪生产提供技术指导和参考依据。     

Effects of Glyphosate on Soil Salinization and Alkalization in Cotton Fields

We analyzed the effects of glyphosate to the index of salinization and alkalization by simulation in soils collected from cotton fields in Anyang, Henan and Anqing, Anhui, China, in 2014. The results showed that application of glyphosate changed electrical conductivity (EC), total alkalinity (TAL), exchangeable sodium percentage (ESP), sodium adsorption ratio (SAR) and pH of soil in both regions，compared with the blank control. With increased frequency of glyphosate application and increased concentration applied, all indices increased in the Anqing cotton fields soil which were treated with concentrations of 2.5-20 g·L^－1 . However, EC, TAL and ESP increased dynamically in Anyang soil to which high concentrations of 20 g·L^－1 were applied only four consecutive times. After different glyphosate treatments, the soil pH value showed an upward trend but smaller changes. Therefore, after repeated use of glyphosate to soils of two different region soils, although the changes of all indices were within the range of non-saline and non-sodic soils, the soils affected by salt in the glyphosate aqueous solution tended towards saline-sodic soils.     

棉铃虫棉田自然种群变化动态及对天敌观察研究初报

棉铃虫在上世纪80~90年代,在我国多个老棉区严重发生或大暴发,致使棉花生产造成了严重损失。而后棉区迁移至新疆,加上抗虫棉的推广、综合治理措施的落实,有效遏制了棉铃虫的猖獗发生。近几年,在冀南多种作物上又有抬头,并有逐年加重的趋势,为对棉铃虫发生规律研究提出了新课题。     

Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index

Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop yield.Biomass is also a key trait in increasing grain yield by crop breeding.The aims of this study were(i)to identify the best vegetation indices for estimating maize biomass,(ii)to investigate the relationship between biomass and leaf area index(LAI)at several growth stages,and(iii)to evaluate a biomass model using measured vegetation indices or simulated vegetation indices of Sentinel 2A and LAI using a deep neural network(DNN)algorithm.The results showed that biomass was associated with all vegetation indices.The three-band water index(TBWI)was the best vegetation index for estimating biomass and the corresponding R2,RMSE,and RRMSE were 0.76,2.84 t ha−1,and 38.22%respectively.LAI was highly correlated with biomass(R2=0.89,RMSE=2.27 t ha−1,and RRMSE=30.55%).Estimated biomass based on 15 hyperspectral vegetation indices was in a high agreement with measured biomass using the DNN algorithm(R2=0.83,RMSE=1.96 t ha−1,and RRMSE=26.43%).Biomass estimation accuracy was further increased when LAI was combined with the 15 vegetation indices(R2=0.91,RMSE=1.49 t ha−1,and RRMSE=20.05%).Relationships between the hyperspectral vegetation indices and biomass differed from relationships between simulated Sentinel 2A vegetation indices and biomass.Biomass estimation from the hyperspectral vegetation indices was more accurate than that from the simulated Sentinel 2A vegetation indices(R2=0.87,RMSE=1.84 t ha−1,and RRMSE=24.76%).The DNN algorithm was effective in improving the estimation accuracy of biomass.It provides a guideline for estimating biomass of maize using remote sensing technology and the DNN algorithm in this region.     

海南省益智产业发展优势、存在问题与对策

为促进海南省益智(Alpinia oxyphylla Miq.)产业的可持续发展,更好地发挥其对地区经济的推动作用,对海南益智产业发展现状开展了调查。分析发现海南益智产业具有资源比较优势明显、市场潜力巨大、产业基础良好等发展潜力和优势,是海南经济结构调整和精准扶贫的首选。指出了海南益智产业发展中存在种苗、种植、品质、市场风险等问题,提出了加强育种、规范化栽培、功能成分提取和产品开发研究,制定相关标准,健全组织保障和资金保障体系,加强市场营销,打响品牌知名度等建议。此研究可为海南益智产业发展提供参考。     

基于耦合协调度的大理河流域径流和输沙关系分析

深入研究流域水沙关系变化是解决黄河流域高质量发展关键问题的重要科学途径之一。自20世纪50年代以来,黄河中游地区实施了大规模的水土保持工程,径流和输沙显著减少,水沙关系发生变化。该研究利用Mann-Kendall趋势检验法分析了1960—2015年来大理河流域的径流输沙变化趋势,并构建基于耦合协调度理论和Pettitt检验方法的径流输沙关系变异诊断方法,识别大理河流域径流和输沙关系的突变点,并通过Copula方法进行验证。结果表明:1)大理河流域径流输沙在月尺度和年尺度呈现显著的下降趋势;2)大理河流域径流和输沙关系在1996年发生显著突变;3)径流输沙关系发生突变后,径流和输沙均明显减少,输沙的减少幅度比径流的减少幅度高29.19个百分点,径流对输沙贡献程度下降幅度为5.10%,单位径流的输沙能力降低;4)淤地坝建设和植被恢复是造成大理河流域水沙变化的主要因素,修建淤地坝和恢复植被对减少泥沙具有积极作用。研究成果可以为进一步深化理解大理河流域水沙关系变化以及水土流失治理提供依据。     

Optimum Level of Dietary n‐3 Highly Unsaturated Fatty Acids for Juvenile Sea Cucumber,Apostichopus japonicus

A feeding trial was conducted to estimate the optimum level of dietary n‐3 highly unsaturated fatty acids (HUFAs) for juvenile sea cucumber, Apostichopus japonicas, based on growth performance and fatty acid compositions. Diets with five n‐3 HUFAs levels (0.15, 0.22, 0.33, 0.38, and 0.46%) were fed to sea cucumber juveniles (1.97 ± 0.01 g) once a day for 60 d. The sea cucumbers fed diets containing 0.22% n‐3 HUFAs showed significantly (P < 0.05) higher body weight gain, feed efficiency, and protein efficiency ratio than the sea cucumbers fed diets containing 0.15% n‐3 HUFAs, but not significantly different (P > 0.05) from those of sea cucumbers fed diets containing 0.33, 0.38, and 0.46% n‐3 HUFAs. The sea cucumbers fed diets containing 0.46% n‐3 HUFAs showed significantly (P < 0.05) higher eicosapentaenoic acid and saturated fatty acid than the sea cucumber fed diets containing 0.15% n‐3 HUFAs, but not significantly different (P > 0.05) from those of sea cucumbers fed diets containing 0.22, 0.33, and 0.38% n‐3 HUFAs. The results of growth performance and n‐3 HUFA compositions of body wall indicated that the optimum level of dietary n‐3 HUFAs for juvenile sea cucumber is between 0.22 and 0.46%.     

多自由度剑麻收割机的设计与仿真制造

剑麻是一种广泛使用的硬质纤维的主要来源,被广泛的运用到各种行业,需求极大;但其收割现以手工为主,且因剑麻自身带有刺,加大了收割的难度,降低了效率。为解决剑麻的纯手工收割收割困难以及效率低的问题,提出一种多自由度剑麻收割机的机械,并申请了国家发明专利,得到授权。本文将运用UG、Sdams以及Mat Leb对该机械进行改进设计与仿真分析,并试制实物机械进行试验。试验结果表明:该机实现了剑麻收割的半自动化并提高剑麻收割的效率,可满足现行各行各业对剑麻的需求量。