A data transfer method for improving seed identification of maize (Zea mays) haploid breeding based on genetic similarity

Maize haploid breeding technology is able to identify haploid seeds non‐destructively, rapidly and at low cost with the help of Near‐infrared (NIR) spectral analysis. However, due to the hybridization of numerous parents and the low production rate of haploid, the haploid data collection becomes a burden for engineering this technology. Biologically, there are considerable similarities between the progeny of the same female parent and different male parents. Based on this advantage, similar spectral data can be transferred when the NIR technology is employed. A revised method of Transfer adaptive boost (TrAdaBoost) is proposed to improve identifying for the backpropagation neural network (BPNN) classifier. To avoid the negative transfer, a screening thresh is used to select out similar data, and the amount of these data are limited to join current training. The results show that the identification performances are improved significantly when the data amount is small. This method shows a high ability to make the seed identification more convenient for engineering maize haploid breeding.     

An isolate of Wheat streak mosaic virus from foxtail overcomes Wsm2 resistance in wheat

Wheat streak mosaic virus (WSMV) is an economically important pathogen of wheat (Triticum aestivum) causing major yield losses in regions where severe infection occurs. To detect the presence of any new virus or new WSMV isolates, green foxtail (Setaria viridis) plants exhibiting virus-like symptoms were sampled in a summer-fallowed wheat field at the Agricultural Research Center-Hays, Kansas State University, Hays, Kansas. These plants were tested serologically for four wheat viruses: WSMV, Triticum mosaic virus (TriMV), High Plains wheat mosaic virus (HPWMoV) and Foxtail mosaic virus (FoMV). Among 38 plant samples exhibiting virus-like symptoms, 29 contained WSMV as indicated by ELISA. Four isolates from samples with relatively strong reactions were transferred to healthy wheat seedlings by mechanical inoculation in a growth chamber for pathogenicity testing. Three isolates were avirulent to a wheat variety RonL, which contains Wsm2, a gene providing temperature-sensitive resistance to currently prevalent isolates of WSMV. However, one isolate, KSH294, was able to infect RonL and showed more virulence on two other varieties/lines containing Wsm2. Further sequence and phylogenetic analysis of KSH294 confirmed that this isolate displays a sequence homology with WSMV, but has sequence differences making it distinct from previously identified WSMV isolates included in the phylogenetic analysis.     

硫化细菌的分离及对碱土pH的影响

通过对样品的富集，利用选择培养进行化能自养硫化细菌的分离；以大庆本地碱土作为实验材料，通过硫化细菌及辅料的添加，利用pH计测定碱土pH值变化。分离获得了硫化细菌lh-1，利用该菌株改良碱土以添加0.27% 硫粉混合硫化细菌效果最为明显，经过两个半月的改良，pH可从10.53降到8.23。     

Impact of sampling and storage technique,and duration of storage,on the composition of fresh grass when analysed using near‐infrared reflectance spectroscopy

The objective of this study was to examine the effect of sampling technique (pluck or cut), storage duration (immediate analysis, 24‐h or 48‐h), storage temperature (ambient or chilled) and storage conditions (air present, air excluded or breathable) on the composition of fresh grass sampled from a sward managed to simulate grazing. Treatments were repeated across four sampling dates, with grass samples stored in grip seal bags prior to analysis using near‐infrared reflectance spectroscopy. Grass sampled by ‘pluck’ had a higher crude protein and ME content, and a lower acid detergent fibre (ADF) content, compared to that sampled by ‘cut’. Grass stored for 48 h had a lower water soluble carbohydrate (WSC) and ME content and a higher ADF content than for immediate analysis. Samples stored for 24 h did not differ from immediate analysis. Grass stored at ambient temperature had a lower WSC and ME content compared to immediate analysis. Grass stored under ‘breathable’ conditions had a lower ME content and higher ADF content than immediate analysis or samples stored with air present or air excluded. It is recommended that grass for analysis should be sampled by cutting, stored chilled (4°C) in a sealed bag to minimize exposure to oxygen and analysed within 24 h of harvest.     

彩色小麦近等基因系籽粒中氨基酸含量的比较分析

氨基酸是蛋白质的基本组成单位,是人体必需的重要营养物质。彩色小麦被认为是一类新型的营养保健小麦品种,但对其籽粒中氨基酸含量的研究很少。本研究首次利用高效液相色谱法比较分析了种植于三个环境中的彩色小麦近等基因系(蓝粒小麦科兴611,紫粒小麦科兴617和白粒小麦轮回亲本济麦22)籽粒中多种氨基酸的含量。结果表明,蓝粒小麦科兴611的必需氨基酸含量、非必需氨基酸含量及总氨基酸含量均显著地高于紫粒小麦科兴617和白粒亲本济麦22。紫粒小麦科兴617和白粒小麦济麦22相比,必需氨基酸含量、非必需氨基酸含量及总氨基酸含量相近,甚至低于济麦22。因此,蓝粒小麦籽粒氨基酸含量高的性状,有益于满足人类营养需求,同时可作为育种材料改良小麦品种的氨基酸含量,尤其是提高限制性氨基酸的含量,进而提高小麦的营养品质。     

Growing Degree Day: Noninvasive Remotely Sensed Method to Monitor Diet Crude Protein in Free-Ranging Cattle

The daily nutritional balance of free-ranging cattle is the net result of intake from available forage biomass and nutritive value weighed against the nutritional requirements of the animal. Plant phenology influences nutritive value. Plant phenology is dictated by time of year and an accumulation of photosynthetically active days. Growing degree day (GDD) is a concept that quantifies this relationship and has been used to predict nutritive value in perennial range grasses. GDD could be substituted for chemical analysis to inform grazing animal nutritional monitoring efforts. We hypothesized that in C4 grass-dominated rangelands, a cumulative GDD calculation would correlate with diet crude protein (CP) predictions obtained by fecal near infrared spectroscopy (FNIRS) from free-ranging cattle. Therefore, the objectives of our research were to evaluate the effectiveness of GDD to predict FNIRS-derived determinations of grazing cattle diet CP in 1) two groups of three individual animals grazing a small native pasture and 2) large commercial-scale herds grazing expansive rangelands. For the first objective, cumulative GDD and FNIRS-predicted diet CP were strongly correlated (r² = 0.76; P < 0.01). Relationships between cumulative GDD and FNIRS-predicted diet CP for the second objective varied considerably among ranches, ranging from a low r² of 0.05 (P = 0.871) to a high r² of 0.78 (P < 0.049). Similar values for individual ranch/year combinations were stronger; ranging from a minimum r² of 0.44 (P = 0.556) to a maximum of 0.95 (P = 0.051). The aggregate relationship between GDD and FNIRS-predicted CP for all ranch/year combinations was highly significant (r² = 0.37; P < 0.001), but the standard error was 1.86% CP. The noninvasive remotely sensed grazing animal nutritional monitoring method described here was accurate enough to inform tactical rangeland diet quality assessments but was not accurate enough to inform operational-scale grazing management decisions.     

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。     

新疆石河子地区牛支原体的分离鉴定及药物敏感性分析

【目的】确定引起新疆石河子地区集约化牛场常发性肺炎的主要病原同时进行病原的体外药物敏感性分析。【方法】采集有典型咳嗽、流涕症状的牛鼻拭子10份和病死牛肺脏组织1份,用牛支原体特异性引物进行PCR检测,将检测为阳性的样本进行病原培养纯化,对纯化后的分离株菌落进行形态学观察、Dienes染色、生化试验及16S rRNA测序和进化分析,通过测定颜色变化单位(CCU)测定分离株生长曲线,并对分离株进行药物敏感性试验。【结果】PCR结果显示,10份鼻拭子中检测出7份牛支原体阳性样本,1份病死牛肺脏组织也检测为阳性;在涂有肺脏组织研磨液培养液的PPLO固体培养基上长出针尖状的菌落,纯化后分离株菌落形态为典型的煎蛋状;Dienes染色可见明显的深蓝色中心脐;生化试验结果显示,分离株不水解明胶、精氨酸、七叶苷,不发酵乳糖、葡萄糖和甘露醇,不分解尿素,可还原氯化三苯基四氮唑;16S rRNA测序结果显示,分离株与牛支原体国际标准株PG45相似性为99.7%,与国内牛支原体地方流行株XBY01、Ningxia-1、NM2012、Tibet-10的相似性最高,均为99.9%;生长曲线测定结果显示,分离株在培养基中生长6 h后进入对数生长期,54 h时达到高峰进入稳定期,72 h后进入衰亡期;药物敏感性试验结果显示,分离株对呋喃妥因、四环素和多西环素、庆大霉素和卡那霉素敏感,对诺氟沙星和氧氟沙星中介,而对环丙沙星、洛美沙星及阿奇霉素和红霉素耐药。【结论】本研究成功从肺脏组织中分离鉴定出1株牛支原体,培养54 h是该分离株的最佳收获时间,与国内大多数牛支原体地方流行株差异较小,整体遗传进化相对稳定,有一定的耐药性,本研究结果可为当地对牛支原体的防控提供参考,也为牛支原体致病机制研究及疫苗研发奠定基础。     

快速检测木材微纤丝角的近红外光谱分析技术

介绍了一种新的测量木材微纤丝角的无损检测技术--近红外光谱分析,并详细阐述了测量时木材样品的选择及制备,测量工作包括X射线衍射和近红外光谱采集、多变量数据分析与模型建立的方法及步骤.证明了近红外光谱分析技术可以用于快速准确地预测木材的微纤丝角.