Improving wood volume predictions in dry tropical forest in the semi-arid Brazil

The volumetric variability of dry tropical forests in Brazil and the scarcity of studies on the subject show the need for the development of techniques that make it possible to obtain adequate and accurate wood volume estimates. In this study, we analyzed a database of thinning trees from a forest management plan in the Contendas de Sincorá National Forest, southwestern Bahia State, Brazil. The data set included a total of 300 trees with a trunk diameter ranging from 5 to 52 cm. Adjustments, validation and statistical selection of four volumetric models were performed. Due to the difference in height values for the same diameter and the low correlation between both variables, we do not suggest models which only use the diameter at breast height (DBH) variable as a predictor because they accommodate the largest estimation errors. In comparing the best single entry model (Hohenald-Krenn) with the Spurr model (best fit model), it is noted that the exclusion of height as a predictor causes the values of 136.44 and 0.93 for Akaike information criterion (AIC) and adjusted determination coefficient (R2 adj), which are poorer than the second best model (Schumacher-Hall). Regarding the minimum sample size, errors in estimation (root mean square error (RMSE) and bias) of the best model decrease as the sample size increases, especially when a larger number of trees with DBH≥15.0 cm are randomly sampled. Stratified sampling by diameter class produces smaller volume prediction errors than random sampling, especially when considering all trees. In summary, the Spurr and Schumacher-Hall models perform better. These models suggest that the total variance explained in the estimates is not less than 95%, producing reliable forecasts of the total volume with shell. Our estimates indicate that the bias around the average is not greater than 7%. Our results support the decision to use regression methods to build models and estimate their parameters, seeking stratification strategies in diameter classes for the sample trees. Volume estimates with valid confidence intervals can be obtained using the Spurr model for the studied dry forest. Stratified sampling of the data set for model adjustment and selection is necessary, since we find significant results with mean error square root values and bias of up to 70% of the total database.     

我国饲草重大病虫鼠害研究进展

为全面了解我国饲草重大病虫鼠害分布和危害，充分掌握其传播扩散规律及其造成的重大经济损失，我们系统分析了我国饲草病害、虫害、鼠害等生物灾害危害情况，总结了国内外饲草病虫鼠害防控现状与研究进展，提出了饲草重大生物灾害的防控对策，为保障饲草产业和草牧业健康发展提供理论支撑。此外，本文还总结了我国饲草病虫鼠害的防控难题，为今后饲草病虫鼠害的研究提供了方向。     

Simulation modelling of potato virus Y spread in relation to initial inoculum and vector activity

Potato virus Y(PVY) is a non-persistent virus that is transmitted by many aphid species and causes significant damage to potato production. We constructed a spatially-explicit model simulating PVY spread in a potato field and used it to investigate possible effects of transmission efficiency, initial inoculum levels, vector behavior, vector abundance, and timing of peak vector activity on PVY incidence at the end of a simulated growing season. Lower PVY incidence in planted seed resulted in lower virus infection at the end of the season. However, when populations of efficient PVY vectors were high, significant PVY spread occurred even when initial virus inoculum was low. Non-colonizing aphids were more important for PVY spread compared to colonizing aphids, particularly at high densities. An early-season peak in the numbers of noncolonizing aphids resulted in the highest number of infected plants in the end of the season, while mid-and late-season peaks caused relatively little virus spread. Our results highlight the importance of integrating different techniques to prevent the number of PVY-infected plants from exceeding economically acceptable levels instead of trying to control aphids within potato fields. Such management plans should be implemented very early in a growing season.     

振安区农机深松整地作业技术推广应用研究

实施农机深松整地作业技术有利于农业可持续发展。介绍振安区农机深松整地技术发展现状与技术模式,阐述该技术推广应用中采取的措施及存在的问题,提出逐步建立起技术示范应用长效机制,以期为科学高效地推进农机深松整地技术在振安区的推广应用提供参考。     

设施畜牧业关键技术研究态势分析

[目的/意义]目前中国畜牧业正处于加快转型的重要时期,了解相关技术的发展态势对于畜牧业的发展具有一定的借鉴意义。[方法/过程]本文以设施畜牧业领域技术研发的3个主要方向：笼舍技术、饲喂饮水技术和环境控制技术的相关专利为研究对象,利用专利计量的方法对其发展趋势、技术分支、申请人、各阶段重点专利等进行了分析。[结果/结论]笼舍、饲喂饮水和环境控制技术发展同步经历了萌芽期、波动发展期、快速发展期3个阶段,当前申请量呈现直线上升的态势;技术研发主体以企业为主,各研发单位之间技术布局差异性明显;近些年重点专利中的国内专利明显增多;笼舍技术方面装置研发均侧重于粪尿清除、垫板等技术;饲喂饮水技术方面饲喂技术的研究多于饮水技术,且均侧重于研发自动化设备;环境控制技术侧重于废弃物处理技术、空气调节技术和房舍清洁刷洗技术。     

浙江遂昌毛竹鞭笋丰产培育技术

为了发挥毛竹林生产潜力，增加竹农经济收入，在多年实践研究的基础上总结出一套毛竹鞭笋丰产培育技术。研究认为：在毛竹笋材两用林中采挖鞭笋，不会影响整体的竹鞭鞭径和竹鞭总量生长；毛竹林地覆盖稻草和砻糠能显著提高第3年的鞭笋产量；培育高产鞭笋的最佳施肥时间为每年的5月；鞭笋采收时间为5-10月。毛竹鞭笋丰产培育技术可在毛竹笋材两用林经营中推广应用。     

农林高校旅游管理专业人才培养现状、困境与发展思考

基于对全国32所农林高校旅游管理专业现状描述,认为农林高校旅游管理专业的现实困境有培养目标趋同从众、农林特色课程少、学科地位弱、边缘化严重、市场火爆专业遇冷并存。提出建议:依托农林优势资源,坚持“有小异”;优化专业方向课程,凸显农林特色;落实导师制,精细化人才培养。研究结论对于农林高校提升旅游管理专业办学质量与特色具有借鉴价值。     

蔬菜废弃物资源化利用的技术路径与建议

蔬菜废弃物产生量巨大,推动蔬菜废弃物的资源化利用对于实现农业绿色发展具有重要意义。由蔬菜废弃物的特点决定,多数的处理技术集中于肥料化应用。该研究重点分析了当前较为典型的蔬菜废弃物资源化利用的技术路径以及技术推广的可行性,并从技术集成创新、新装备研发、政策支持和社会化服务4个方面提出加快蔬菜废弃物资源化利用的建议。     

药用植物腊叶塑封标本制作技术

提出了药用植物腊叶塑封标本制作中采集——压制——装订上台纸——塑封等各环节的方法,尤其针对标本制作中存在的变色、叶片脱落等问题提出了用5%酒精溶液浸泡、0.3%沸盐水浸泡、烘干箱烘干、硅胶干燥、醋酸铜溶液保色等解决方案。