基于EDEM的大豆窝眼轮式排种盘型孔参数优化与验证

对品种的适应性是大豆育种专用排种器技术研究的关键,主要取决于大豆种子与排种盘型孔间的关系,因此,如何精准构建排种盘型孔参数关于大豆种子物理参数的数学模型具有非常重要的意义。本研究基于东农52大豆种子的物理参数,理论分析并确定其各种型孔充填状态的型孔均径比范围(1.43~1.87)及对应状态概率。建立了大豆小区育种插装式排种器的EDEM仿真模型,并以型孔均径比及充种倒角为试验因素,漏播率及重播率为试验指标,进行了二因素五水平二次回归通用旋转组合设计试验,建立了试验指标的数学模型,以优化型孔的最佳结构参数。结果表明:对漏播率,型孔均径比极显著(P0.01),充种倒角显著(0.01P0.05);对重播率,型孔均径比极显著(P0.01),充种倒角有一定影响(0.05P0.1)。在试验范围内,随型孔均径比的增大,漏播率减小及重播率增大,随充种倒角的增大,漏播率先减小后增大,重播率无变化。型孔最佳参数为型孔均径比1.64,充种倒角1.54 mm,此时,漏播率4.95%,重播率6.49%。验证试验结果表明:优化型孔的排种盘具有相对最佳的作业性能。该研究为其它作物排种器型孔的设计研究提供了参考。     

Validation of otolith daily increments for larval and juvenile Japanese halfbeak Hyporhamphus sajori

Daily ring formation was verified by examining the growth of the marginal increment on sagittal otoliths of larval and juvenile Japanese halfbeak Hyporhamphus sajori. The relationship between age (x) and number of increments (y) is y = 1.0x + 2.0. The first daily increment was formed during the 2 days before hatching. The relationship between the number of rings deposited after the alizarin complexone (ALC) mark (x) and the number of increments (y) is given by: y = 1.0x − 0.2. The index of completion of the marginal increment was 99 ± 4.1% (mean ± S.D.) at 04:00, and from 24 ± 4.4% at 08:00 it increased with time of day and reached 98 ± 3.6% until the next day at 04:00. Growth of the incremental zone started a few hours after sunrise prior to which the discontinuous zone seemed to be formed. Light rhythms tend to be one of the most important factors for the formation of the marginal increment on otoliths. Based on the relationships between time of day and the marginal increment on otoliths, it would be possible to estimate the predation time for specimens retrieved from stomach contents, and also clearer analysis of the growth history immediately prior to the sampling time.     

Validation of body condition score as a predictor of subcutaneous fat in Nelore (Bos indicus) cows

The aim of the present study was to determine the relationship among body weight (BW), body condition score (BCS) and rump fat thickness (RFAT) measured by ultrasonography, and validate the relationship between BCS and RFAT over the time. Two hundred sixty and six Nelore cows had their BW, BCS and RFAT evaluated at five different moments during the production cycle: M1) weaning; M2) parturition, M3) 42 days post-partum; M4) 82 days post-partum and M5) 112 days post-partum. A BCS value was attributed for each cow following a 1 to 5 points scale. Ultrasonographic images for RFAT measurement were obtained using a 3.5 MHz linear transducer. Images were immediately analyzed as soon as they were formed and frozen. Body condition scores and ultrasound measurements were collected on the same day by a single trained technician. The relationship between BCS and RFAT values was investigated by regression models. The analysis of similarity among the five obtained models was performed using the proc MIXED from SAS and the correlations among variables were analyzed with proc CORR from SAS. The BCS was able to predict RFAT in Nelore cows in all different moments evaluated. Also, it was shown that BCS presented high correlation (r = 0.82 to 0.93) and relationship (R² = 0.73 to 0.92) with RFAT. However, both BCS and RFAT showed low correlation (r = 0.37 to 0.50) and relationship (R² = 0.13 to 0.25) with BW. The BCS classification by visual method using a 1 to 5 point scale, was able to predict the RFAT in Nelore cows over the time.     

Validation of biomarkers for loin meat quality (M. longissimus) of pigs

The aim of this study was to validate previously reported associations between microarray gene expression levels and pork quality traits using real‐time PCR. Meat samples and meat quality data from 100 pigs were collected from a different pig breed to the one tested by microarray (Large White versus Pietrain) and a different country of origin (Denmark versus Germany). Ten genes (CARP, MB, CSRP3, TNNC1, VAPB, TNNI1, HSPB1, TNNT1, TIMP‐1, RAD‐like) were chosen from the original microarray study on the basis of the association between gene expression levels and the meat quality traits meat %, back fat, pH24, drip loss %, colour a*, colour b*, colour L*, WB‐SF, SFA, MUFA, PUFA. Real‐time PCR detection methods were developed for validation of all ten genes, confirming association with drip loss (two of two genes), ultimate pH (three of four genes), a* (redness) (two of six genes) and L*(lightness) (two of four genes). Furthermore, several new correlations for MUFA and PUFA were established due to additional meat quality trait information on fatty acid composition not available for the microarray study. Regression studies showed that the maximum explanation of the phenotypic variance of the meat quality traits was 50% for the ultimate pH trait using these ten genes only. Additional studies showed that the gene expression of several of the genes was correlated with each other. We conclude that the genes initially selected from the microarray study were robust, explaining variances of the genes for the meat quality traits.     

Assessing geopedological soil mapping approach by statistical and geostatistical methods: A case study in the Borujen region,Central Iran

Geopedology, using geomorphologic and supervised classification bases, has been proposed as a soil surveying method. It undertakes a systematic approach to map soilscapes. This approach tries to reduce the budget of accomplishing soil surveys as well as increasing the purity of mapping units. But to what extent it has been succeeded is the question. The main objective of this research was to validate the geopedological mapping methodology by statistical and geostatistical methods in the Borujen region, Central Iran. After a primary interpretation of the study area on air photos (1:20 000 scale), 94 pedons were excavated on a 125 m square sampling grid in the sample area for geostatistical studies. To achieve the statistical aims, a geomorphic unit which encompassed the maximum surface of the sample area (and also the study area) was selected and the biggest delineation of this unit with 19 pedons was considered. The credibility of generalizing the results of the geopedological approach for the studied unit was tested by comparison with 15 pedons in a similar unit outside the sample area, named the validation area. Properties of the soils, including percentage of clay, rock fragments (2–75 mm) and total carbonates in the soil family control section, percentage of organic matter in the A horizon and its thickness, were selected for statistical and geostatistical analyses. Univariate and multivariate statistical analyses obtained from the units in the sample and the validation areas, showed that the means of soil variables were similar. A high difference between A horizon thickness variances in the sample area and the validation area affected the significance of the variation test in the univariate and multivariate results. Our study demonstrated that, when comparing the same factors from sample and validation areas, the spatial distribution and spatial dependency level of soil attributes were different. Therefore, although the geopedological approach tries to distinguish more homogeneous soil mapping units, it is still not able to fully define and represent the real variability of soil properties and show the chaotic behavior or nature of the soils. We recommend further investigations on different techniques of stratifying the landscape in order to better analyze and understand the soil-forming processes and the nature of soil variability and to improve sampling and mapping approaches. We suggest that the additional determination of the phases of landforms and phases of soil series will improve mapping in the future.     

Application and evaluation of a mailed questionnaire for an epidemiologic study of Corynebacterium pseudotuberculosis infection in horses

The objective of this study is to describe the design, application and validity of a self-administered (mailed) questionnaire to collect data on potential risk factors for Corynebacterium pseudotuberculosis infection in California horses. Horses admitted to the UC Davis Veterinary Medical Teaching Hospital (VMTH) between 1 July 1992 and 30 June 1994 served as the study base for case identification and simple random sampling of 800 control horses. A questionnaire was mailed to owners of the study horses, followed by a reminder postcard and a second copy of a questionnaire. Data were collected on owner and horse identity and demographics, horse management and use, geographic location, and general health-related issues. Return pattern over time as well as differential return proportions were described. The overall return proportion was 66% (587/890), and the completion proportion 55% (491/890). The number of returns over time followed a negative binomial distribution, with over 90% of all returns being in by the end of the fifth week after mailing, and over 99% at the end of the tenth week. Some categories within the variables age (between 2 and 3 years), breed (Thoroughbred and Standardbred horses) and gender (stallions) had significantly lower return proportions than expected (differential return; p<0.05). The profile of these horses fits a section of the racehorse population that is served by the VMTH. Age, breed and disease status information was available from the VMTH medical records and from the questionnaire, and was used to determine the validity of the survey data. There was good agreement between the data from the two sources, and we therefore concluded that the quality of the survey information was sufficient to perform a risk-factor analysis. The mailed survey provided a rapid and cost-effective method of collecting additional information to supplement existing medical records.     

作物─水模型及其敏感指标的确认

本文用三步确认法较系统地研究了非充分灌溉作物─—水模型（ＭＣＲＷ）及其敏感指标的确认方法。对三种国外代表性ＭＣＲＷ即线性模型、乘法和加法模型及其敏感指标，在我国北方灌区的应用效果，应用中常遇到的某些重要问题及解决途径、各种代表性模型敏感指标的理论对应关系作了重点分析评估，有助于ＭＣＲＷ确认方法的完善及非充分灌溉模拟技术在水资源管理中应用。     

Assessment of the repeatability of a milk Ostertagia ostertagi ELISA and effects of sample preparation

An indirect Ostertagia ostertagi ELISA on milk is a promising diagnostic tool in bovine parasitology. Interpretation of the test results requires a good knowledge of the test characteristics. In this study, border effects, the repeatability of the ELISA and the effect of different factors such as storage, skimming and freeze–thaw cycles of the milk samples were investigated. The border effects trial showed that significant border effects can occur. The repeatability trial was conducted over 3 days. An alternative graphical technique to assess the repeatability over a large number of ELISA plates measured over different days was developed. From these graphs, it was obvious that the ODR values obtained on the third day were deviating from the values on the first and second day. On the third day, also abnormal control values were observed. When the control values were normal, 94% of the variability was explained by the milk sample and 6% by assay variability. The expected 95% range of the difference of 2 ODR readings of the same sample on the same plate and the same sample on different plates was −0.14 to 0.14 and −0.16 to 0.16. No extra variability was observed when samples were tested on a different day, however these results are based on the measurement of 2 days. Storage for 2–4 days at 4 °C, using whole milk instead of skimmed milk and up to 2 extra freeze–thaw cycles of the milk samples did not significantly affect the test results.     

Performance of Soil Electrical Conductivity and Different Methods for Mapping Soil Data from a Small Dataset

The performance of different methods for making soil maps from a small dataset was assessed. Soil samples obtained at five different depths were taken from 39 locations within an arable field in Sweden and analysed for clay content, soil organic matter content, pH (H₂O), K-HCl, P-AL, K-AL and Mg-AL. Detailed and densely sampled soil electrical conductivity (EC) data with a distinct border between two different regions was used for dividing the field into two zones. Averages from these zones gave better prediction for most variables than interpolation without respect to the border. With the border taken into account, cokriging with EC as a covariable improved the prediction, whereas the improvement with ordinary kriging and inverse distance weighting (IDW) was insignificant. Direct interpretation of EC by a simple linear regression model gave reasonable predictions for clay content. In general, even the simplest interpolation method improved the prediction compared to field average.     

棉花干物质积累的模拟模型与检验

建立了棉花群体光合生产和干物质积累模拟模型。其中,包括了作物叶面积动态、光能截获及光合与呼吸作用等主要生理过程,而且考虑了温度、肥料及其它绿色部分的影响。结果表明：模拟值与实测值的相关系数为０．９０４６,模拟误差为３１０．３０５ｋｇ／ｈｍ２。