Application of marker‐assisted backcross to introgress Bph3, Bph14 and Bph15 into an elite indica rice variety for improving its resistance to brown planthopper

To improve brown planthopper (Nilaparvata lugens Stål; BPH) resistance of an elite indica cultivar of South China, Hemeizhan (HMZ), we applied marker‐assisted backcross (MABC) to incorporate three BPH‐resistance genes (Bph3, Bph14 and Bph15) into the genetic background of HMZ. In the third backcross (BC₃) generation, we obtained near‐isogenic lines (Bph3‐NIL, Bph14‐NIL, Bph15‐NIL and Bph14 + Bph15‐NIL) with more than 96% recovery of recurrent parent genome, and pyramided lines (Bph3 + Bph14‐PYL, Bph3 + Bph15‐PYL and Bph3 + Bph14 + Bph15‐PYL) with more than 89% recovery of recurrent parent genome. These lines showed stronger resistance against BPH than HMZ at seedling and booting stages. The rank of resistance gene effect was Bph3 + Bph14 + Bph15 ≥ Bph3 + Bph15 ≥ Bph3 +Bph14 ≥ Bph14 + Bph15 ≥ Bph3 ≥ Bph15 ≥ Bph14 > none. Compared with HMZ, only Bph3 + Bph14 + Bph15‐PYL had a significant difference in yield per plant, and the lines carrying Bph3 had higher amylose contents, indicating that Bph3 was tightly linked to Wx^a allele. These improved lines are good intermediate sources of broad‐spectrum and durable BPH resistance to improve other indica cultivars. Our results demonstrate that MABC is a very efficient approach to improve BPH resistance of elite rice cultivar.     

傅里叶变换红外光谱法在橄榄油掺假鉴别中的应用

采用傅里叶变换红外光谱仪对橄榄油、葵花籽油、花生油、玉米油、大豆油、菜籽油、棕榈油7种食用植物油的红外光谱信息进行分析。结果表明,橄榄油的红外吸收光谱在吸收峰的位置及吸光度上均与其他种类的植物油有区别,以3005~3009 cm^-1、1117~1121 cm^-1处的吸收峰作为种类区分。模拟掺假过程,向橄榄油中掺入其他6种不同比例的低价值植物油后,发现1097、3005 cm^-1处吸收峰的峰面积与掺假百分比呈线性关系。此外,对7种食用植物油180℃加热2 h后的红外光谱图进行分析,发现968、1097 cm^-1处的吸收峰变化趋势有差异,橄榄油呈上升趋势而其他种类的植物油则呈现下降趋势。掺假橄榄油加热后谱图分析发现3005 cm^-1处的峰面积有所降低,但与掺假百分比仍呈线性关系,掺入5%低价油,3400~3650 cm^-1区域呈明显增加趋势,据此可以鉴别掺假量低至5%的橄榄油,这为橄榄油的掺假鉴别提供了一种快速高效的方法。     

甜菜种子活力的测定——基于近红外高光谱技术

为保证田间甜菜种子的出苗率和生产潜力,需要在种植前对种子进行活力检测,挑选出活力高的甜菜种子进行推广种植。利用高温处理法对甜菜种子进行老化处理,再基于标准正态变换(SNV)、去趋势校正(DET)、Savitzky-Golay平滑处理(SG)、一阶差分(1D)和二阶差分(2D)5种近红外高光谱预处理方法,构建种子活力智能检测模型得出预测的种子发芽率,再利用老化处理后的甜菜种子进行发芽实验得出实际的发芽率。研究发现,甜菜种子经过一阶差分预处理建立的智能检测模型预测性能最好,其预测准确率达到91.92%。将未处理的甜菜种子的实际发芽率与一阶差分预处理法建立的智能模型预测结果进行对比,发现模型的预测准确率为88.2%。近红外高光谱技术是一种快速、无损的作物种子活力测定的新方法。     

浇筑式钢桥面铺装层推挤变形病害机理分析

以贵州省北盘江大桥钢桥面铺装层推挤变形病害为研究背景,采用凝胶渗透色谱法(GPC)和傅里叶变换红外光谱法(FTIR),从沥青分子尺度分析钢桥面铺装产生推挤变形的原因。分析结果表明:沥青老化并不是造成钢桥面铺装层推挤变形的主要原因;从现场调查可知,第2层粘层粘结能力的降低是造成钢桥面铺装层推挤变形病害的次要原因;通过级配分析发现,造成钢桥面铺装层推挤变形的主要原因是浇筑式沥青混合料(GA)级配偏细以及GA中集料颗粒的棱角性较差所致。     

Biological,Physicochemical, and Spectral Properties of Aerated Compost Extracts: Influence of Aeration Quantity

The goal of this experiment was to investigate the effect of aeration quantity (0, 11, 33, 55, and 77 L·min^?1) on the growth of aerated compost extracts from a pig manure–straw compost. When the aeration quantity was 11 L·min^?1, lettuce root growth enhancement of normalized compost extracts was at a maximum. As the aeration quantity increased, the total water-soluble organic carbon (TWSOC), total nitrogen (TN), total phosphorus (TP), humic carbon (humic C) content, and humification degree of compost extracts improved gradually. No differences in functional group structure were found among the aerated compost extracts. The positive root growth could be attributed to physicochemical and spectral characteristics, such as TN content, humic substances content, humification, aromaticity, and the low content of carboxyl groups. In conclusion, the aeration quantity of 11 L·min^?1 was suitable for the production of aerated compost extracts, which obtained much greater promotion growth.     

Evaluation of Near Infra-red Reflectance Spectroscopy for Predicting Grain and Stover Quality Traits in Maize

The prediction of grain and stover quality parameters in maize {Zea mays L.) by near infra-red reflectance spectroscopy (NIRS) was studied. A total of 110 grain and 135 stover samples originating from different genotypes and environments were assayed. Calibration equations for content of crude protein (CP), crude fat (CF), starch (ST), and water soluble carbohydrates (WSC) in grain were obtained by multiple linear regression of known manual values on NIRS data from the odd numbered samples. Calibrations for CP, acid detergent fibre (ADF), in vitro digestible organic matter according to the Tilley & Terry (IVDOM-T & T) and the gas production (IVDOM-Gp) method, respectively, and metabolizable energy (ME) in stover were developed analogously. Equations were validated with the evennumbered .samples and for ME additionally with the 1584 stover samples from an experiment with 66 F₁ hybrids tested in six environments. The coefficients of multiple determination (R²) of the prediction equations ranged from 0.80 for IVDOM-Gp and ME in stover to 0.94 for CP in grain. Standard errors of calibration (SEC) and prediction (SEP) were in most cases not higher than commonly reported for conventional manual assays. With regard to the correct ranking of hybrids, prediction equations for ME applied well to stover samples from other environments with one exception. We concluded that NIRS can evaluate the quality traits investigated to a similar degree to that of conventional methods of analysis. Since NIRS is simple and safe to operate and allows rapid screening of several quality traits simultaneously, it should be particularly attractive for breeding purposes.     

Use of Near Infrared Reflectance Spectroscopy (NIRS) for Predicting Soil Fertility and Historical Management

This study tests the potential of near infrared reflectance spectroscopy (NIRS) for predicting soil fertility and management history from topsoil (0–10 cm deep) spectra. Soil fertility was assessed by measuring the growth of a test plant, and soil management history was determined through inquiries with farmers. Moreover, NIRS predictive value was compared with that of a group of topsoil parameters: total carbon and nitrogen, nitrate, potential respiration and denitrification, and microbial biomass. Modelling used partial and modified partial least square regressions to ensure comparisons between predictions by NIRS versus by soil parameters. Soil fertility and management history were well predicted by NIRS (Q² = 0.78 and R² = 0.89 both; Q² and R² are cross-validation and calibration coefficients of determination, respectively), as were the soil parameters (Q² = 0.79–0.92 and R² = 0.86–0.98). Soil fertility and management history were more accurately predicted by NIRS than by the set of soil parameters.     

近红外漫反射光谱法对贵州产蜘蛛抱蛋属植物的分类

[目的]建立贵州产蜘蛛抱蛋属植物的近红外漫反射光谱分析方法.[方法]将赤水蜘蛛抱蛋、刺果蜘蛛抱蛋、丛生蜘蛛抱蛋、四川蜘蛛抱蛋、峨边蜘蛛抱蛋、广西蜘蛛抱蛋、贵州蜘蛛抱蛋、 荔波蜘蛛抱蛋等23批贵州产该属植物烘干、粉碎、过筛后直接测定其红外漫反射图谱;分别采用聚类分析,主成分分析等分析方法对该属植物进行分类.[结果]23批贵州产该属植物的近红外漫反射光谱相似程度极高,通过一阶导数对图谱进行处理,选取4000~7500 cm-1光谱范围作为分析区间,通过聚类分析和主成分分析对该属植物大量光谱变量进行转换,使数目较少的新变量成为原始变量的线性组合,从而让不同种之间的微小差异进一步扩大,从而直观的对该属植物进行分类.[结论]近红外漫反射光谱法可无损、快速测定固体样品,结合信息处理技术,可以为贵州产蜘蛛抱蛋属植物的分类提供一种新方法.