Comprehensive Evaluation of Yield Characters and Quality Characters of New Cotton Varieties in Mid-south Area of Hebei

The yield characters and quality characters of several new cotton varieties in the mid-south area of Hebei Province were comprehensively evaluated in this pa- per. In different ecological environments, the single-boll weight of tested cotton vari- eties had the biggest variation coefficient among yield characters and micronaire value had the biggest variation coefficient among fiber quality characters. Path analy- sis indicated that the direct path coefficients of various characters had the flowing order, lint percentage〉 number of bolls per plant〉 single-boll weight〉 seed index among yield components and uniformity index 〉 fiber specific strength〉 micronaire value〉 elongation rate〉 upper half staple length among fiber quality characters. Principal component analysis indicated that the top three principal components contributed 8.263% of accumulated variance, basically reflecting the vast majority of informations of 10 main characters in tested cotton varieties.

Genetic Differences and Selection of Major Nutritional Quality Characters in Millet

[Objective] The aim was to enhance specificity and efficiency of quality breeding of millet. [Method] Difference analysis, correlation analysis, principal compo- nent analysis, and path analysis were conducted on nutritional quality characters of 29 millet varieties. [Result] Variance coefficients of nutritional quality characters among different varieties were in descending order of crude protein 〉 crude fiber 〉 fat 〉 water 〉 total carbohydrate. The results of correlation analysis suggested that crude protein exhibited extremely significant negative correlation with total carbohydrate （correlation coefficient of -0.822 4） and significantly negative correlation with fat （correlation coefficient of -0.380 7）; the rest characters showed no significant correla- tion. In addition, according to PCA and path analysis, four characters, including crude protein, fat, total carbohydrate and crude fiber, determined 97.35% of variance of nutritional quality and could be taken as references for selection of breeding ma- terials, with a determination coefficient of 1.000 0. Fat and carbohydrate were typical nutritional quality characters of breeding materials, which should be selected in low generation. However, crude protein and crude fiber should be selected for millet in high generation. [Conclusion] The research provides references for breeding of new millet varieties with high nutritional quality.

Variance Analysis of Growth Characteristics and Partial Production and Quality Characters of Different Tobacco Varieties

Objective] This study was conducted to discuss growth characteristics and partial production and quality characters of different varieties, so as to provide can-didates for tobacco production as wel as a theoretical basis for variety deployment in Guizhou. [Method] ‘K326’ was used as control, the experiment for variance analysis of growth characteristics and partial production and quality characters of dif-ferent tobacco varieties was carried out in Fengsan Town, Kaiyang County, Guizhou Province in 2015. [Result] GY8 grew faster in early stages and slower in late stages, the growth periods of GY2 （130 d） and GY5（129 d） were the longest, while those of Yun85 （121 d） and Yun87 （121 d） were the shortest; and GY2, GY5 and GY8 had larger plant heights, maximum leaf widths and maximum leaf areas, and Yun85, Yun87 and K326 showed larger stem girths and maximum leaf lengths. Yun87 exhibited lower natural incidences of diseases, while Yun85 and GY8 showed higher incidences of diseases. GY2, GY5 and GY8 had higher nicotine, total nitro-gen, K and Cl contents, while Yun85, Yun87 and K326 had higher total sugar and reducing sugar contents and higher total sugar/nicotine ratio. Yun85 and Yun87 showed better economic characters, while GY5 and GY8 showed poorer economic characters. [Conclusion] Yun85 and Yun87 have quality characters better than GY2 and GY8, field natural incidences of diseases lower than GY2 and GY8, and better economic characters, and thus could serve as candidates in future flue-cured tobac-co production in Guizhou.

Analysis of seed and maternal genetic effects on cooking quality characters in indica hybrid rice

We analysed seed and maternal genetic effects on characters of cooking quality in indica hybrid rice by using the model for quantitative characters of seeds of cereal crops. Incomplete diallel crosses were made by using six male sterile lines (Zhenshan 97A, Erjiuqing A, Erjiunan 1A, V20A, Zhe’nan 1A and Zhe’nan 3A)as females and three restorer lines(Cezao 2-2, T49 and 26715)as males. Sampled seeds were used to measure the cooking quality characters, including amylose content(%), gelatinization temperature(alkali spreading score)and gel consistency(mm). Results indicated that some rice cooking quality characters were controlled by both seed genes and maternal genes (see table). Gel consistency was mainly controlled by maternal effects, but also

Correlation between Milling Flour Quality of Xinjiang Spring Wheat and Processing Quality of Xinjiang Hand-stretched Noodle

In the research,36 spring wheat cultivars from Xinjiang were used to investigate flour yield,ash content,color,granularity,flour quality,paste quality and gelatinization property and to evaluate processing quality and characters of stretched noodle,in order to explore relationship of milling flour quality with quality property of Xinjiang spring wheat and with processing quality of Xinjiang hand-stretched noodle,which provides theoretical references for improvement of Xinjiang spring wheat cultivars,breeding of specific cultivars（for Xinjiang stretched noodles）,and advancement of stretched noodles.The results indicated that flour color is dominant among flour quality properties of Xinjiang spring wheat,which is of significant correlation with processing quality of stretched noodles.Therefore,in quality improvement of Xinjiang stretched noodles,flour yield of Xinjiang wheat should be enhanced and ash content and damaged starch should be reduced in order to improve quality of flour and stretched noodles from Xinjiang spring wheat.The indices of milling flours for Xinjiang stretched noodles are as follows：flour yield ≥60.77%,ash content ≤ 0.45%,damaged starch≤3.77%,granularity ≤108.14%,brightness（L^＊）≥ 90.86,redness（a^＊）≥-0.82,and yellowness（b^＊） ≤9.00.

Characterization of Coal Tar Pitch and Paving Pitch by UV,EA and NMR

In order to enlarge the use of coal tar pitch(CTP) in paving road,CTP and 60th paving pitch (PP) were extracted by n-heptane,toluene and ethanol step by step in a Soxhlet apparatus.The three fractions of CTP and PP were detected using UV-absorption(UV-A),elemental analyses(EA) and nuclear magnetic resonance(NMR) firstly as a whole unit after quality characterization of physical nature of CTP and PP were finished.The CTP had more saturate aliphatic and residue compounds dissolved in ethanol.On the other hand there were more continental type structures of aromatic ring than that of PP.There was almost no residue in PP after extracted by ethanol.The results explained why CTP was crisp in cold winter and was soften in summer.The following research will focus on how to change the chemical construction of CTP into the relative similar structures with those of PP through adding polymer.

Multisensor Data Fusion for High Quality Data Analysis and Processing in Measurement and Instrumentation

Multisensor data fusion （MDF） is an emerging technology to fuse data from multiple sensors in order to make a more accurate estimation of the environment through measurement and detection. Applications of MDF cross a wide spectrum in military and civilian areas. With the rapid evolution of computers and the proliferation of micro-mechanical/electrical systems sensors, the utilization of MDF is being popularized in research and applications. This paper focuses on application of MDF for high quality data analysis and processing in measurement and instrumentation. A practical, general data fusion scheme was established on the basis of feature extraction and merge of data from multiple sensors. This scheme integrates artificial neural networks for high performance pattern recognition. A number of successful applications in areas of NDI （Non-Destructive Inspection） corrosion detection, food quality and safety characterization, and precision agriculture are described and discussed in order to motivate new applications in these or other areas. This paper gives an overall picture of using the MDF method to increase the accuracy of data analysis and processing in measurement and instrumentation in different areas of applications.

Potential variability of trans-lysozyme gene rice under ecological conditions of Yunnan Province, China

Using trans-lysozyme gene rice line D2-1-2 and its restorer Zhonghua No.9 as test materials,we studied their agronomic characters and grain qualities under two ecological conditions of Yunnan Province.The results show that there were no significant differences in the agronomic characters between D2-1-2 and Zhonghua No.9,but the seed setting rate and plant height of D2-1-2 were significantly lower,while the protein,amino acid and mineral element(Ca,Fe and Zn in particular)contents in its crude grain were higher than those of Zhonghua No.9.It is suggested that there could be some potential genetic variances in the transgenic plant and the possibly induced environmental risk should be evaluated in multi-plots for several years.