杂交水稻种子生产面临的问题与技术创新研究

杂交水稻种子生产是关系到水稻粮食生产的大事之一，对促进国家粮食安全有着十分重大 的意义。在进行种子生产的过程中，应该充分认识到进行技术创新的重要性。为了保障杂交水稻种 子生产的稳定发展，就要针对目前存在的各种困境和问题进行深入研究，找到解决所存在问题的路 径，以此提升杂交稻种子的产量和质量，振兴我国的杂交稻产业。     

促进粮食作物适度规模化生产的关键问题及解决方法

本文将从土地流转、种粮主体以及种粮方式等角度出发，指出当今促进粮食作物适度规模化 生产的关键问题，进而提出针对性的有效解决方法，以期为有关人员提供可靠参考。     

Forage legumes in grass pastures in tropical Brazil and likely impacts on greenhouse gas emissions: A review

Beef cattle producers seldom use fertilizers for their pastures in tropical regions of Brazil. Slowly, this is changing but because of the need for repeated applications, N fertilizer is rarely applied. The introduction of a forage legume is an appropriate solution for this problem, but until recently adoption has been very low as the legumes generally have not persisted in the sward. We report research on how grazing management can affect the persistence of stoloniferous legumes in pastures of Brachiaria spp. and the problems of establishing and maintaining crown-forming legumes such as Stylosanthes spp. With suitable management, milk or bovine carcass yields can be equal or greater from mixed than from grass-alone pastures fertilized with 120 or 150 kg Nha^-1 year⁻¹. In addition to savings in CO₂ emissions from fossil fuels for the production and distribution of N fertilizers, nitrous oxide emissions from cattle excreta and legume residues are lower than those from N-fertilized brachiaria grass monocultures. Other studies indicate that enteric methane emissions from cattle may be mitigated when forage legumes are included in their diet. The use of forage legumes in mixed pastures for tropical regions is emerging as a feasible strategy to keep meat and milk production at acceptable levels with reduced greenhouse gas emission rates.     

养分管理措施对干热河谷火龙果土壤肥力的影响

为阐明火龙果地不同养分管理方式下土壤矿质养分变化特征，揭示土壤肥力质量变化规律，设置施用农家肥（farmyard manure，FM）、套种绿肥（alfalfa，AF）、施用生物有机肥（bio-organic fertilizer，BOF）与凋落物覆盖（litter coverage，LC）4种养分管理方式，通过分析不同处理的土壤肥力指标变化，明确不同养分管理方式对火龙果地土壤肥力质量的影响。结果表明：不同养分管理方式的土壤理化性质变化规律各异，在LC方式下pH低于7，呈弱酸性，其余养分管理方式下均呈弱碱性；LC对土壤有机碳（soil organic carbon，SOC）、有效磷（available phosphorus，AP）、有效锰（available manganese，AMn）、有效铁（available iron，AFe）等土壤养分增效显著，AF对SOC、全氮（total nitrogen，TN）、全钾（total potassium，TK）增效作用较弱，FM以及BOF下SOC及多数有效态元素含量相对较低；土壤速效养分受到pH的影响较大，大量元素与微量元素多呈极显著正相关；不同养分管理方式的土壤质量综合指数表现为，LC（1.793）>AF（0.949）>FM（-0.995）>BOF（-1.747）。LC为土壤养分积累较为适宜的管理方式，其次为AF，FM次之，BOF对土壤养分的积累效应最低，但其对提高作物产量具有较好的作用。     

基于森林功能分区的经营小班划分研究

基于湖南省慈利县二类调查数据，根据森林主导功能的差异、森林林种种类和坡度的不同，将慈利县森林划分成不同的森林功能区，并基于森林功能区按照树种的不同将其进一步划分成不同的经营小班。最后，在地理信息系统的支持下绘制出森林功能分区图和经营小班划分图。结果表明，公益林的面积多于商品林的面积，其中特殊公益林区和一般公益林区面积为1 290 hm²，限制性商品林和一般性商品林面积为1 144 hm²，马尾松和杉木是主要的经济树种。划分经营小班有利于森林的分类经营，为实现林业从传统的以木材生产为主向发挥森林的多功能、多效益的经营方式转变提供条件，进而实现森林的可持续经营，并为促进森林经营单位的可持续发展提供数据支持。     

成渝经济区农地适度规模经营方式及其环境效应差异比较

以成渝经济区为研究区,比较成渝地区农地经营方式转变的地域差异,评估农地经营方式转变的可持续性.选取成都平原区的广汉市和重庆山地丘陵区的江津区为研究样区,基于两个区域的1 102份调查数据,运用能值分析法分析两地农地经营方式转变的差异.由于资源禀赋、家庭特征、经营方式、流转市场、流转价格等因素的差异影响,江津区与广汉市农户农地流转呈现区域"悖反"现象;从能值分析来看,广汉市通过规模化、产业化、机械化的大生产模式提升农业科技装备水平,降低投入、提高农业生产率,实现了良性的农业集约化;而江津区通过高投入—高产出的高效农业产业模式大幅提升农业产出,但过度追加不可更新要素的投入方式却不可持续,引起了劣质的农业集约化.因此,就转变农地经营方式而言,成都平原区应着眼于"降本增效",发展规模化、产业化、机械化的大生产模式;重庆山地区应着眼于"提质增效",以农业科技、装备和设施更新为驱动发展生态农业.     

The pelagic habitat analysis module for ecosystem‐based fisheries science and management

We have developed a set of tools that operate within an aquatic geographic information system to improve the accessibility, and usability of remote‐sensed satellite and computer‐modeled oceanographic data for marine science and ecosystem‐based management. The tools form the Pelagic Habitat Analysis Module (PHAM), which can be applied as a modeling platform, an investigative aid in scientific research, or utilized as a decision support system for marine ecological management. Applications include fisheries, marine biology, physical and biological oceanography, and marine spatial management. The GIS provides a home for diverse data types and automated tools for downloading remote sensed and global circulation model data. Within the GIS environment, PHAM provides a framework for seamless interactive four‐dimensional visualization, for matching between disparate data types, for flexible statistic or mechanistic model development, and for dynamic application of user developed models for habitat, density, and probability predictions. Here we describe PHAM in the context of ecosystem‐based fisheries management, and present results from case study projects which guided development. In the first, an analysis of the purse seine fishery for tropical tuna in the eastern Pacific Ocean revealed oceanographic drivers of the catch distribution and the influence of climate‐driven circulation patterns on the location of fishing grounds. To support management of the Common Thresher Shark (Alopias vulpinus) in the California Current Ecosystem, a simple empirical habitat utilization model was developed and used to dynamically predict the seasonal range expansion of common thresher shark based on oceanographic conditions.     

Impact of farm management on expression of early mortality syndrome/acute hepatopancreatic necrosis disease (EMS/AHPND) on penaeid shrimp farms in Thailand

Asian shrimp farming industry has experienced massive production losses due to a disease caused by toxins of Vibrio bacteria, known as early mortality syndrome/acute hepatopancreatic necrosis disease (EMS/AHPND) for the last 5 years. The disease can cause up to 100% cumulative pond mortality within a week. The objective of this study was to identify factors associated with AHPND occurrence on shrimp farms. A case–control study was carried out on shrimp farms in four provinces of Thailand. Factors related to farm characteristics, farm management, pond and water preparation, feed management, post‐larvae (PL) shrimp and stock management were evaluated. Multivariable logistic regression analysis identified factors affecting AHPND occurrence at the pond level. Chlorine treatment, reservoir availability, use of predator fish in the water preparation, culture of multiple shrimp species in one farm and increased PL stocking density contributed to an increased risk of AHPND infection, while delayed first day of feeding, polyculture and water ageing were likely to promote outbreak protection. Additionally, the source of PL was found to be associated with AHPND occurrence in shrimp ponds, which requires further study at the hatchery level. Identification of these factors will facilitate the development of effective control strategies for AHPND on shrimp farms.     

辣木种子苗繁育技术操作规程

种苗繁育是规范化种植的基础环节，为进一步规范辣木种苗繁育技术，于2013～2015年对辣木种苗繁育过程中的种子采收、种苗繁育、田间管理、采收运输及分级标准进行了总结，并制定了辣木种苗繁育技术操作规程(SOP)，以期为辣木标准化的种苗生产提供依据。     

A stochastic surplus production model in continuous time

Surplus production modelling has a long history as a method for managing data‐limited fish stocks. Recent advancements have cast surplus production models as state‐space models that separate random variability of stock dynamics from error in observed indices of biomass. We present a stochastic surplus production model in continuous time (SPiCT), which in addition to stock dynamics also models the dynamics of the fisheries. This enables error in the catch process to be reflected in the uncertainty of estimated model parameters and management quantities. Benefits of the continuous‐time state‐space model formulation include the ability to provide estimates of exploitable biomass and fishing mortality at any point in time from data sampled at arbitrary and possibly irregular intervals. We show in a simulation that the ability to analyse subannual data can increase the effective sample size and improve estimation of reference points relative to discrete‐time analysis of aggregated annual data. Finally, subannual data from five North Sea stocks are analysed with particular focus on using residual analysis to diagnose model insufficiencies and identify necessary model extensions such as robust estimation and incorporation of seasonality. We argue that including all known sources of uncertainty, propagation of that uncertainty to reference points and checking of model assumptions using residuals are critical prerequisites to rigorous fish stock management based on surplus production models.