Pigeonpea improvement: An amalgam of breeding and genomic research

In the past five decades, constant research has been directed towards yield improvement in pigeonpea resulting in the deployment of several commercially acceptable cultivars in India. Though, the genesis of hybrid technology, the biggest breakthrough, enigma of stagnant productivity still remains unsolved. To sort this productivity disparity, genomic research along with conventional breeding was successfully initiated at ICRISAT. It endowed ample genomic resource providing insight in the pigeonpea genome combating production constraints in a precise and speedy manner. The availability of the draft genome sequence with a large‐scale marker resource, oriented the research towards trait mapping for flowering time, determinacy, fertility restoration, yield attributing traits and photo‐insensitivity. Defined core and mini‐core collection, still eased the pigeonpea breeding being accessible for existing genetic diversity and developing stress resistance. Modern genomic tools like next‐generation sequencing, genome‐wide selection helping in the appraisal of selection efficiency is leading towards next‐generation breeding, an awaited milestone in pigeonpea genetic enhancement. This paper emphasizes the ongoing genetic improvement in pigeonpea with an amalgam of conventional breeding as well as genomic research.     

长江流域生物资源及生态环境研究进展

以CNKI平台中的文献数据,利用文献计量学方法,对其文献的增长趋势及期刊分布进行分析,并基于作者和机构合作网络、关键词共现的聚类知识图谱及突变检测等方法,探究我国长江流域生物资源及生态环境主题的研究热点及其研究前沿。研究表明:研究文献总体上呈递增趋势,2016年开始呈现激增态势;作者、机构间的交流合作较少,作者间合作大部分局限在机构内部的研究者之间的合作,合作相对活跃的机构主要有长江科学院、长江流域水资源保护局及长江水利委员会等;其优势学科领域主要为环境科学、区域经济学、水利工程学、农业经济等。当前我国长江流域生物资源及生态环境的研究领域有5个方向:(1)开展长江经济带城市群生态环境评价与保护、城镇化与生态文明建设,以及绿色发展等研究;(2)开展长江三峡与三峡库区的生态环境监测与保护、森林资源养护、水土保持与流失、资源与生态补偿机制研究及其生态环境的可持续发展等研究;(3)开展长江流域自然保护区的生态环境保护与规划、生态保护红线及其生物资源养护与生物多样性保护等研究;(4)在长江大保护背景下,开展长江流域生态环境的保护与修复、流域综合治理,以及水生生物资源的合理开发利用的研究;(5)开展长江源区水电资源开发、水环境保护及其渔业生态环境保护等研究。为科学管理和保护长江流域的重要生物资源,提出建立基于科学设计的全流域生物资源和环境监测系统,建立全流域的生物资源及生态系统的生物数据模型,发展长江流域渔业资源养护与开发的风险评估决策系统,发展长江流域科学的渔业资源增殖放流技术体系,发展基于GIS的长江全流域的渔业资源与环境监测和管理决策信息服务系统等建议。     

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.     

拖拉机变速箱箱体快速设计方法与软件开发

针对目前拖拉机变速箱箱体产品开发周期长、设计与制造成本高的问题，该研究提出了一种基于知识的拖拉机变速箱箱体快速设计方法。首先，研究并建立箱体设计知识库、推理机制及参数化模型；然后，运用Visual Studio 2015的MFC编写快速设计系统的人机交互界面，联合SQL Server2012、Creo4.0完成快速设计系统与知识库、模型库的连接，建立拖拉机动力换挡变速箱箱体快速设计系统，并进行实例验证；最后，运用ANSYS workbench18.1对系统输出模型进行有限元仿真分析，箱体最大等效应力为206.19 MPa，最大变形为0.450 mm，最大间隙变化量为0.007 8 mm，最大错移量为0.026 mm，一阶固有频率为369.48 Hz，与ZF公司相同传动方案产品相比，箱体质量减少了28.8 kg。结果表明：该系统能高效、快速地完成拖拉机变速箱箱体开发，系统设计的拖拉机变速箱箱体具有良好的强度、刚度、密封性与动态特性，产品质量更轻，这对于缩短产品开发周期、降低设计与制造成本具有重要意义。     

基于变量优选与机器学习的干旱区湿地土壤盐渍化数字制图

土壤盐渍化是导致土壤退化和生态系统恶化的主要原因之一，对干旱区的可持续发展构成主要威胁。为了尽可能精确地监测土壤盐渍化的空间变异性，该研究收集新疆艾比湖湿地78个典型样点，其中选取54个样本作为训练集，24个样本作为独立验证集。基于Sientinel-2 多光谱传感器（Multi-Spectral Instrument，MSI）、数字高程模型（Digital Elevation Model，DEM）数据提取3类指数（红边光谱指数、植被指数和地形指数），经过极端梯度提升（Extreme Gradient Boosting，XGBoost）算法筛选有效特征变量，构建了关于土壤电导率（Electrical Conductivity，EC）的随机森林（Random Forest，RF）、极限学习机（Extra Learning Machine，ELM）和偏最小二乘回归（Partial Least Squares Regression，PLSR）预测模型，并选择最优模型绘制了艾比湖湿地盐渍化分布图。结果表明：优选的红边光谱指数基本能够预测EC的空间变化；红边光谱指数与植被指数组合建模效果总体上优于其与地形指数的组合，3类指数组合的建模取得了较为理想的预测精度，其中RF模型表现最优（验证集R2=0.83，RMSE=4.81 dS/m，RPD=3.11）；在整个研究区内，中部和东部地区土壤盐渍化程度尤为严重。因此，XGBoost所筛选出的环境因子结合机器学习算法可以实现干旱区土壤盐渍化的监测。     

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。     

A social learning video method: Identifying and sharing successful transformation knowledge for sustainable soil management in Switzerland

To enhance sustainable land use, a From Farmer to Farmer project was conducted in Switzerland (2001–2010). A multi‐stakeholder discussion group co‐produced nine videos with experienced farmers and wine producers showing sustainable soil management practices. We analysed the video audio‐visual content and drew on reflections of the co‐production process, referring to concepts of system, target and transformation knowledge, as well as on social learning. The analysis showed a broad range of means (or actions) for sustainable soil management in arable land management, fodder production and wine growing that are aligned to transformation knowledge. The research showed that farmers refer to three phases of social learning, light‐bulb moments, coping with challenges and gaining successful expertise. These are not just linear processes of individuals. Four types of social learning were found in the video analysis: (a) learning from observing actions of others, (b) sharing experiences with storytelling, (c) informal social interactions and (d) being a role model with a large social network. Videos enable transformation knowledge to be shared with peers using storytelling; this powerful narrative communication style provides credibility and respects the ‘thought style’ of the target audience group. We conclude that for successful implementation of sustainable actions, it is important to address a specific target group and share their transformation knowledge built upon system and target knowledge. The social learning video method is a viable way to enable social learning between science, administration and practice and has potential for fostering change in sustainable soil management.     

Using webinars to extend the reach of soil learning in New South Wales: A first look

Increasingly knowledge is shared using new web‐based channels. The use of these channels is relatively new in the realm of soil science. However, they may prove to be very useful for connecting time‐poor, geographically dispersed audiences in an efficient and cost‐effective way. There has been limited study of this form of knowledge sharing for natural science (let alone soil science). In New South Wales (NSW), Australia, the NSW Department of Primary Industries (NSW DPI) has coordinated the Soil Network of Knowledge (SNoK) monthly webinar over 3 years, with over 40 webinars targeting an audience of next users of soil information. Aggregated data collected from these webinars indicated that the majority of information is used for professional development by participants. Whether this will eventually lead to on‐ground practice change because of the improved professional and technical knowledge of participants is still a moot point and will require further investigation over time. The information collected on attendance and participation showed that webinars are a good way to connect with some target audiences such as other government bodies that have a historical relationship with NSW DPI. However, other target audiences that NSW DPI has always found difficulty in engaging, such as private advisers, require more active overtures to drive participation. The growing subscriber base is encouraging.     

Construction of high-density linkage map and identification of QTLs associated with resistance to black rot in radish (Raphanus sativus) by RAD sequencing

High-density marker-based QTL mapping can serve as an effective strategy to identify novel genomic information to facilitate crop improvement. In this study, we genotyped an F₂ population (KB12-1 × PP12-1) using a RAD-seq approach and constructed a high-density linkage map for radish. After a series of filtering procedures were performed, 17,124 SNPs and 3,336 indels with aa × bb genotyping were retained to obtain bin markers. Then, a linkage map comprising a total of 1,221 bin markers in nine linkage groups spanning 1,467.3 cM with an average marker interval of 1.2 cM was constructed. We evaluated the resistance of the F₂ mapping population to black rot using F₃ progeny, and two major QTLs related to black rot resistance were identified based on this map. Among these QTLs, qBRR2 on Chr.2 explained 26.97% of the phenotypic variation with a LOD score of 11.93, and qBRR7 on Chr.7 accounted for 27.06% of the phenotypic variation with a LOD score of 11.83. The additive effect of qBRR2 was positive (14.97); however, qBRR7 had the opposite effect (−11.99). The high-density linkage map and the major QTLs qBRR2 and qBRR7 provide new important information for disease resistance gene discovery and utilization in genetic improvement.     

基于CiteSpace可视化分析的茶叶香气研究进展

以1979—2019年WOS(Web of science)和CNKI(China national knowledge infrastructure)收录的茶叶香气品质相关文献为研究对象,采用CiteSpace文献计量方法分别从年代、作者、机构、国家、研究热点、演进趋势等方面进行归纳统计分析。结果表明,2006年以后相关研究文献呈显著增长趋势,目前已形成稳定的核心作者群,但各群体间的合作研究相对较少;在该研究领域,我国影响力最大,其次是日本和美国;热点研究内容主要集中在香气形成机理、香气物质提取方法、检测手段及关键香气物质等方面。综上结果,结合时区图谱,进一步指出茶叶香气的研究历程及目前所处的发展阶段。