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.     

农业产业化联合体建设及人才培养探讨

农业产业化联合体是一种新型农业生产经营组织联盟,它对推动农业产业化发展、带动农民脱贫致富、促进三产融合发展起到极其重要作用。本文论述我国农业产业化合体建设及其人才培养现状,分析农业产业化合体建设及其人才培养面临的主要困难与问题,提出支持农业产业化合体建设及其人才培养的对策建议。     

Associations between postpartum diseases and milk yield and changes in body condition between drying off and parturition of dairy cows in Argentina

ABSTRACT

Aims: To assess the change in body condition score (BCS) during the early and late dry periods and its association with postpartum diseases and milk yield in grazing dairy cows from central Argentina.

Methods: BCS assessments during the dry period, and cow health and milk production records up to 90 days in milk (DIM), were collated for cows from 28 farms at monthly visits between 2007 and 2008. Cows were categorised into four groups; those in Group 1 (n=7,067) maintained or gained BCS during the early and late dry periods; Group 2 (n=2,615) maintained or gained BCS during the early dry period and lost BCS during the late dry period; Group 3 (n=1,989) lost BCS during the early dry period and maintained or gained BCS during the late dry period; and Group 4 (n=5,144) lost BCS during the early and late dry periods.

Results: Cows in Group 1 had reduced odds of having retained fetal membranes (RFM), metritis, and clinical mastitis up to 90 DIM than cows in Group 2 (p<0.001), but the odds of disease were similar to cows in Group 3. The odds of having RFM or clinical mastitis tended to be lower in cows in Group 1 than cows in Group 4 (p=0.08). The odds of cows being culled or dying during the first 90 DIM were lower for cows in Group 1 than for those in Groups 2, 3, and 4 (p≤0.05). Mean accumulated milk yield up to 90 DIM was higher in cows in Group 1 than Group 2 and Group 4 (p<0.001), but was similar to that of cows in Group 3 (p=0.28).

Conclusions and clinical relevance: Cows that lost BCS during the late dry period had increased odds of being diagnosed with several postpartum diseases and had decreased milk yield compared to cows that maintained or gained BCS during the entire dry period. Loss of BCS during any stage of the dry period was also associated with increased incidence of culling or death during the first 90 DIM. These results should raise awareness among dairy cattle producers of the importance of properly managing cow body condition during the dry period, especially during the late dry period.     

基于产品空间理论的中国林业产业升级特征分析

林业产业如何进行转型升级是实现林业现代化与高质量发展中的重要一环。本文基于产品空间理论，使用聚类热图和复杂网络方法，构建1962—2017年中国林业产业产品空间，从产品复杂度和优势林产品变化两个角度分析林业产业升级特征。结果表明，新获得优势林产品复杂度高，为0.31，传统失势林产品较低，为-0.21，表征林业产业已朝附加值更高的有利方向升级，但传统优势林产品复杂度较低，说明林业产业已有优势产品竞争激烈不利于升级。产品复杂度较高的潜在优势林产品是林业机械、机械零件和林化产品，优势林产品在产品空间中的变化存在一定路径依赖，先扩散后收敛于产品空间的中心位置，政府制定的林业产业政策与全球化背景可能促进了优势林产品升级。因此，政府制定产业政策时，应对不同优势类型林产品采取差异化策略，应完善产品复杂度低的传统优势林产品市场退出机制；减少与优势林产品距离较近的潜在优势林产品政策干预，对距离较远的复杂度高的潜在优势林产品使用补贴等方式引导升级。     

Atmospheric humidity and genotype are key determinants of the diurnal stomatal conductance pattern

Great understanding of the genotypic difference in diurnal stomatal conductance (g_s) pattern and the key determinants of the pattern is important for saving water by adopting cultivars appropriately. Fifteen wheat genotypes were studied under different soil conditions and various meteorological conditions with pot cultivation in rain shelter for two years. Genotype and air humidity were found to be key determinants of diurnal g_s pattern. All genotypes under low relative humidity (LRH) and most genotypes under high relative humidity (HRH) displayed a gradual decline pattern from morning through the afternoon. Under moderate relative humidity (MRH), all genotypes present a single-peak curve pattern, but they differed in peak time, which may lead to unreliable g_s comparison between genotypes and get ostensible contrasting materials. The stomatal conductance was significantly different among genotypes under LRH and the increased g_s magnitude is also significantly different when it was compared between LRH and HRH. The present results provide new thinking for selecting and adopting appropriate cultivars with specific stomata traits for the area with various meteorological conditions.     

荔枝果实复合保鲜剂的筛选及其常温保鲜效果的研究

为了筛选出有利于荔枝贮藏的复合保鲜剂,以‘井岗红糯’荔枝果实为试验材料,通过正交试验研究了不同浓度的油菜素内酯（brassinolide, BL）和曲酸（kojic acid, KA）配比对采后荔枝果实的保鲜效果。结果表明,在25 ℃贮藏条件下,对荔枝果实的最佳保鲜配方为：油菜素内酯40 μmol/L、曲酸35 mmol/L,浸泡时间为3 min,该复合保鲜剂配方能较好地抑制荔枝果实褐变和腐烂,降低果皮相对电导率、果皮pH和果皮丙二醛（malonaldehyde, MDA）含量,延缓果肉总可溶性固形物（total soluble solids, TSS）和维生素C（vitamin C, VC）含量的下降,维持较高的果皮色度L ^*值、a ^*值、C ^*值和花色苷含量,抑制了多酚氧化酶（polyphenol oxidase, PPO）、过氧化物酶（peroxidase, POD）及漆酶（laccase, Lac）的活性。     

水稻复合农艺性状QTL剖析

为了解水稻复合性状的数量性状基因座(QTL),在利用单片段代换系进行QTL鉴定的基础上,剖析了水稻株高QTL与主茎高和穗长QTL,主茎高与倒一节间长、倒二节间长、倒三节间长和倒四及以下节间长QTL,谷粒长宽比QTL与粒长和粒宽QTL,每穗粒数QTL与一次枝梗数和二次枝梗数QTL的关系。结果表明:鉴定出株高QTL的6个单片段代换系中有4个只检测出了主茎高QTL,其加性效应百分率为86.00%～99.55%,有1个只检测出了穗长QTL,其加性效应百分率为48.31%,有1个同时检测出了主茎高QTL和穗长QTL,其中主茎高QTL的加性效应百分率为81.72%,穗长QTL加性效应百分率为18.28%;在检测出主茎高QTL的7个单片段代换系中,有1个只检测出倒一节间长QTL,有2个只检测出倒二节间长QTL,有2个检测出倒一节间长QTL和倒二节间长QTL,有2个只检测出倒三节间长QTL;不同的单片段代换系中检测出的节间长的QTL加性效应百分率变化范围为-128.62%～172.07%;7个检测出谷粒长宽比QTL的单片段代换系中,有5个只检测出粒长QTL,1个只检测出粒宽QTL,1个同时检测出了粒长QTL和粒宽QTL;检测出每穗粒数QTL的3个单片段代换系中,有2个只检测出二次枝梗数的QTL,有1个同时检测出一次枝梗数QTL和二次枝梗数的QTL。这些结果表明,代换片段中如能检出复合性状QTL,也可以检出其构成性状QTL;复合性状QTL的加性效应的大部分可由其构成性状QTL的综合效应来解析,但相同的复合性状,不同代换片段检出的构成性状QTL不同。     

MacCormack算法在长输管道瞬变流动仿真中的应用

为了提高长输管道仿真精度和速率,基于MacCormack格式基本原理和流动方程建立了长输液体管道水力瞬变流动仿真模型。以某管道为例,分别采用该仿真算法和特征线法模拟了阀门关闭和流量增加引起的瞬变流动,并探讨了MacCormack格式中不同边界条件处理方法及Courant常数值对模拟结果的影响。结果表明:MacCormack格式可用于精确仿真长输管道瞬变流动过程,采用特征线法求解预估层边界参数后,其振荡幅度、收敛速度均优于特征线仿真方法;同时,采用特征线法处理MacCormack格式边界条件较线性外插法更易收敛。研究成果可为长输管道瞬变流动仿真提供参考。     

基于条件植被温度指数的夏玉米生长季干旱预测研究

为验证条件植被温度指数(VTCI)在夏玉米生长季干旱预测中的适用性,以河北中部平原为研究区,应用求和自回归移动平均(ARIMA)模型及季节性求和自回归移动平均(SARIMA)模型,对该地区VTCI时间序列数据进行分析建模预测。首先基于49个气象站点所在像素的VTCI时间序列数据,选取不同长度时间序列建立ARIMA模型,并分析时间序列长度与预测精度间关系,以期为时间序列长度选择提供依据;然后选择理想长度的VTCI时间序列数据,分别建立ARIMA模型和SARIMA模型,用于研究区域2017年夏玉米生长季VTCI预测,并分析评价两模型预测精度;最后采用性能较好的ARIMA模型逐像素建模预测,得到2016-2018年9月上旬至下旬VTCI预测结果。结果表明:基于ARIMA模型的VTCI预测精度与时间序列长度未呈现明显的相关关系,但随时间序列长度增加,模型预测精度逐渐趋于稳定;ARIMA模型对干旱的预测精度高于基于SARIMA模型,其1步、2步、3步VTCI预测结果均方根误差较SARIMA模型分别降低0. 06、0. 07、0. 09;ARIMA模型在不同年份夏玉米生长季VTCI1~3步的预测精度稳定性较好,2016-2018年1步、2步和3步VTCI预测结果绝对误差绝对值大于0. 20的像素平均百分比分别为5. 84%、6. 38%、8. 72%。     

基于柔性夹持的青菜头收获机设计与试验

为解决西南丘陵山地青菜头机械化收获问题，结合青菜头生物特性和农艺要求，设计了一种具有柔性夹持功能的小型青菜头收获机。阐述了整机结构与工作原理，并对样机关键部件进行了结构设计和理论分析，柔性夹持装置初始间隙为60mm，最大允许通过青菜头直径为150mm，分析得到夹持输送带速度为0.37m/s、所需最大夹持力为38.04N；对割台架的仿地形能力和结构动力特性进行了分析，可得该结构允许地形起伏度为50mm，在安装割刀位置振幅最大，前5阶固有频率为115.63~783.60Hz，远大于发动机和地形产生的激励频率，因此不会发生共振现象。田间试验结果表明，切割及夹持输送机构运行平稳、振动小、切割有力、夹持力度适中；切割成功率为89.5%，青菜头损伤率为10.8%，实际工作效率为0.035hm2/h，各项性能指标基本满足设计和农艺技术要求。