广西独立学院应用型本科食品专业生产实习学生去向分析

探讨食品专业生产实习学生去向特点,为产教融合培养食品专业应用型人才提供参考。以广西科技大学鹿山学院食品专业生产实习数据为基础进行计算分析。结果表明,食品检测机构和食品企业是学生实习的主要去向,其中到食品检测机构实习的学生比例逐年增加,且以集中实习为主;广东和广西是学生实习的主要聚集地,其中以广东一线城市为主;实习单位地理位置、实习待遇、上班制度及学生择业等因素影响实习去向。可见,本科食品专业与广东一线城市食品检测机构深度融合协同培养应用型人才具有良好的基础条件。     

植物免疫诱导剂在草莓中的应用情况

为了助力实现草莓的安全生产,对一类能诱导植物产生免疫防御反应的植物免疫诱导剂在草莓中的应用情况进行综述。主要阐述了植物免疫诱导剂的种类、诱导机理及其在草莓栽培上的应用现状,发现:植物免疫诱导剂能促进草莓生长和发育、诱导抗病性、提高产量、改善果实品质、提高耐贮性等,从而减少了化学农药的使用,有利于草莓高质量生产,应用前景广阔。     

小麦秸秆长度、覆盖量对坡面产流产沙的影响

为定量研究小麦秸秆覆盖对坡面产沙产流过程及减水减沙效益的影响,采用室内人工模拟降雨试验,研究在降雨强度为90 mm/h时,不同秸秆长度和秸秆覆盖量下的坡面产流产沙特征和产流产沙过程规律,结果表明:(1)在相同秸秆长度下,随秸秆覆盖量增加,产流量产沙量极显著减少(p0.01)。相同覆盖量水平下随秸秆长度增加,产流量显著增加(p0.05),在4.5 t/hm~2覆盖量下产沙量极显著增加(p0.01)。(2)秸秆覆盖坡面的初始产流时间较裸露坡面延迟6.23倍,产流量平均下降19.5%,产沙量下降31.6%。覆盖措施通过保护土壤的结构有效抑制了细沟侵蚀过程向切沟侵蚀发展。产流产沙过程受秸秆长度和覆盖量的交互作用影响,交互效应对产流过程的影响更突出。(3)随覆盖量增加,减水减沙效益极显著增加(p0.01);随长度增加,减水减沙效益分别减少为17.26%,27.97%。不同覆盖条件下的坡面产流量、产沙量和减水、减沙效益均与秸秆长度、秸秆覆盖量呈二元线性关系。(4)在当前试验条件下,当秸秆长度为3～5 cm,覆盖量为4.5 t/hm~2时达到最优减水减沙效益。     

Intensive organic vegetable production increases soil organic carbon but with a lower carbon conversion efficiency than integrated management

Intensive vegetable production in greenhouses has rapidly expanded in China since the 1990s and increased to 1.3 million ha of farmland by 2016, which is the highest in the world. We conducted an 11‐year greenhouse vegetable production experiment from 2002 to 2013 to observe soil organic carbon (SOC) dynamics under three management systems, i.e., conventional (CON), integrated (ING), and intensive organic (ORG) farming. Soil samples (0–20 and 20–40 cm depth) were collected in 2002 and 2013 and separated into four particle‐size fractions, i.e., coarse sand (> 250 µm), fine sand (250–53 µm), silt (53–2 µm), and clay (< 2 µm). The SOC contents and δ¹³C values of the whole soil and the four particle‐size fractions were analyzed. After 11 years of vegetable farming, ORG and ING significantly increased SOC stocks (0–20 cm) by 4008 ± 36.6 and 2880 ± 365 kg C ha^?1 y^?1, respectively, 8.1‐ and 5.8‐times that of CON (494 ± 42.6 kg C ha^?1 y^?1). The SOC stock increase in ORG at 20–40 cm depth was 245 ± 66.4 kg C ha^?1 y^?1, significantly higher than in ING (66 ± 13.4 kg C ha^?1 y^?1) and CON (109 ± 44.8 kg C ha^?1 y^?1). Analyses of ¹³C revealed a significant increase in newly produced SOC in both soil layers in ORG. However, the carbon conversion efficiency (CE: increased organic carbon in soil divided by organic carbon input) was lower in ORG (14.4%–21.7%) than in ING (18.2%–27.4%). Among the four particle‐sizes in the 0–20 cm layer, the silt fraction exhibited the largest proportion of increase in SOC content (57.8% and 55.4% of the SOC increase in ORG and ING, respectively). A similar trend was detected in the 20–40 cm soil layer. Over all, intensive organic (ORG) vegetable production increases soil organic carbon but with a lower carbon conversion efficiency than integrated (ING) management.     

三种水稻栽培模式对主要害虫种群发生动态的影响

轻简化和机械化是现代农业发展的趋势。本文于2 0 1 3 —2 0 1 5 年连续进行了常规人工栽插、机械直播、机械栽插等3种栽培模式对水稻主要害虫种群发生动态的影响研究,旨在为农业轻简、机械化模式的进一步推广提供依据。结果表明,3种栽培模式对稻飞虱、稻纵卷叶螟种群发生的影响差异不明显。比较3 种栽培模式下的水稻螟虫(二化螟为主, 大螟较少) 发生和为害可知,机械直播田的螟虫前期株为害率较高,且后期仍维持较高的为害率,明显高于人工栽插和机械插秧田(p<0.05)。分析原因,很可能是机械直播水稻暴露在大田的时间要稍长于栽插模式(机械插秧和人工栽插),有利于二化螟的提前入田为害。因此在推广机械直播时,应考虑调整播期,尽可能地避开或减少螟虫为害。     

寿光1961—2015年初、终霜日、无霜期变化特征 及对农业的影响

笔者利用寿光市1961—2015年的气候资料，通过对初、终霜日期、无霜期观测资料，利用现代气候诊断分析方法，分析寿光市初、终霜日期、无霜期变化特征，科学评估初、终霜日变化对冬小麦和棉花产量的影响，为寿光农业生产防灾减灾提供参考依据。结果表明，（1）初霜日总体呈推迟趋势,终霜日呈提早趋势,无霜期延长。（2）初霜日呈推迟趋势，气候倾向率为2.23 d/10 a，1991年初霜日发生突变；（3）终霜日呈提前趋势，气候倾向率为-1.35 d/10 a。（4）无霜期日数呈增多趋势，气候倾向率为3.58 d/10 a，1994年无霜期日数发生突变。（5）初霜日和无霜期与小麦和棉花产量呈正相关，终霜日与小麦和棉花产量呈负相关，初霜日推迟比终霜日提前对小麦和棉花的产量贡献大。     

主要淡水水产品在养殖模式转换过程中营养品质的形成机制研究进展

随着生活水平的提高人们越来越重视膳食品质,鲈鱼、乌鳢、鳜鱼等几种肉食性鱼类因其较高的营养价值而备受关注。目前,这几种经济鱼类正处在从传统池塘养殖向池塘工程化养殖和从饲喂冰鲜饵料向投喂人工配合饲料养殖模式转变的过程中。本文通过已有研究总结了这几种主要淡水水产品的养殖现状及具体评价营养价值的指标,并对其养殖模式转换过程中的营养价值可能出现的变化进行了综述。讨论总结后发现,投喂人工配合饲料养殖的鲈鱼、鳜鱼等经济鱼类营养价值特别是蛋白质品质低于投喂冰鲜饵料的。而池塘循环水养殖这种新型的养殖模式对这几种肉食性鱼类营养价值的影响尚不明确。但从目前已有研究来看,池塘循环水养殖能够有效改善水质,并在一定程度上限制了有害物质积累。所以这种新型养殖模式对这几种经济鱼类食用品质有积极的影响。本文通过对主要淡水水产品在养殖模式转换过程中营养价值形成机制进行综述,为推行绿色健康可持续的新型养殖模式提供了理论依据。     

校院两级管理模式下地方农业高校教科研指标体系构建探索与对策研究

校院两级管理是高等院校内部管理体制改革创新的必然趋势,对高等院校盘活存量、激活增量具有重要作用。文章系统梳理了国内外高等院校内部管理体制改革和校院两级管理模式以及教科研指标体系的差异和特征,着重聚焦当前地方农业高校教科研指标体系构建中存在的问题,探析地方农业高校校院两级管理教科研指标体系构建的关键因素和环节,提出了“核心+特色”校院两级指标设置和“个人+团队”教师考核评价方式的两项对策,以期为地方农业高校校院两级管理教科研指标考核和评价提供借鉴和参考。     

Unravelling the relationship between a seasonal environment and the dynamics of forage growth in grazed swards

It is well reported in the scientific literature that pastures can have similar net forage accumulation when managed with contrasting structures. However, we hypothesized that the dynamics of forage accumulation in grazed swards is linked to seasonal-environmental conditions. Marandu palisadegrass (Brachiaria brizantha [Hochst. ex A. Rich.] was used as the forage species model. The experimental treatments were four grazing heights (10, 20, 30 and 40 cm) allocated to experimental units according to a randomized complete block design with four replicates and evaluated throughout four contrasting environmental seasons (summer, autumn, winter–early spring and late spring). Under rainy and warm periods, greater net forage accumulation was observed in pastures maintained taller; on the contrary, during the mild and dry periods, net forage accumulation rate reduced as grazing height increased. Such patterns of responses were related to compensations between tiller population density and tissues flows during summer and late spring and the reduced capacity of taller canopies to compensate lower population with greater growth rates during autumn and winter–early spring. Grazed swards changed their patterns of forage growth as they transitioned from favourable to more abiotic stressful conditions, suggesting that seasonal adjustments in grazing intensities are necessary in order to maximize forage production.     

Research of dissolved oxygen prediction in recirculating aquaculture systems based on deep belief network

Recirculating aquaculture has received more and more attention because of its high efficiency of treatment and recycling of aquaculture wastewater. The content of dissolved oxygen is an important indicator of control in recirculating aquaculture, its content and dynamic changes have great impact on the healthy growth of fish. However, changes of dissolved oxygen content are affected by many factors, and there is an obvious time lag between control regulation and effects of dissolved oxygen. To ensure the aquaculture production safety, it is necessary to predict the dissolved oxygen content in advance. The prediction model based on deep belief network has been proposed in this paper to realize the dissolved oxygen content prediction. A variational mode decomposition (VMD) data processing method has been adopted to evaluate the original data space, it takes the data which has been decomposed by the VMD as the input of deep belief network (DBN) to realize the prediction. The VMD method can effectively separate and denoise the raw data, highlight the relations among data features, and effectively improve the quality of the neural network input. The proposed model can quickly and accurately predict the dissolved oxygen content in time series, and the prediction performance meets the needs of actual production. When compared with bagging, AdaBoost, decision tree and convolutional neural network, the VMD-DBN model produces higher prediction accuracy and stability.