家兔选育性状典型相关分析

选择日本大耳白和新西兰两个品种家兔的生长、繁殖、以及体尺3组共17个性状，应用多元统计方法进行了典型相关分析，结果表明；日本大耳白兔的初生重、初生窝重、21日龄重、泌乳力、胸围等5个性状，新西兰兔的产活仔数、初生重、21日龄重、泌乳力、断奶窝重、母兔体重等6个性状为主要性状。     

巨桉纸浆原料林土壤养分与林木生长研究

通过相关分析及回归分析，探讨了巨桉人工林土壤养分与林木生长的关系，结果表明：土壤速效N、速效P、土壤有机质的浓度与林木胸径、树高、材积极显著正相关，土壤全N、全P与林木胸径树高、材积显著正相关。建立了胸径、树高、材积与土壤养分的线形回归方程，最佳数学表达式说明速效N、速效P是影响巨桉林生长的关键土壤养分。     

Seasonal pattern of shoot emergence and its endogenous control in horsenettle (Solanum carolinense L.)

Controlling established horsenettle plants is achieved by suppressing shoot emergence from root systems. The seasonal pattern of shoot emergence and its possible endogenous control in horsenettle ( Solanum carolinense L.) were investigated. The shoot emergence period in an undisturbed population was limited to a seven-week period from mid-April, and a little longer in tilled conditions. Detached roots showed very high shoot-sprouting ability under 15–30°C throughout the year. In shoot clipping experiments, new shoots sprouted only from the stem and not from the root when attached to shoots, whether above-ground or underground. On the contrary, new shoots sprouted from the roots when all parts of the shoots were clipped off. From these results, the limited shoot emergence period in horsenettle is thought to be initiated by temperatures necessary for sprouting and is ended by a growth correlation effect between early emerged and matured shoots.     

Spatial dependence and the relationship of soil organic carbon and soil moisture in the Luquillo Experimental Forest,Puerto Rico

We used geo-spatial statistical techniques to examine the spatial variation and relationship of soil organic carbon (SOC) and soil moisture (SM) in the Luquillo Experimental Forest (LEF), Puerto Rico, in order to test the hypothesis that mountainous terrain introduces spatial autocorrelation and crosscorrelation in ecosystem and soil properties. Soil samples (n = 100) were collected from the LEF in the summer of 1998 and analyzed for SOC, SM, and bulk density (BD). A global positioning system was used to georeference the location of each sampling site. At each site, elevation, slope and aspect were recorded. We calculated the isotropic and anisotropic semivariograms of soil and topographic properties, as well as the cross-variograms between SOC and SM, and between SOC and elevation. Then we used four models (random, linear, spherical and wave/hole) to test the semi-variances of SOC, SM, BD, elevation, slope and aspect for spatial dependence. Our results indicate that all the studied properties except slope angle exhibit spatial dependence within the scale of sampling (200 – 1000 m sampling interval). The spatially structured variance (the variance due to the location of sampling sites) accounted for a large proportion of the sample variance for elevation (99%), BD (90%), SOC (68%), aspect (56%) and SM (44%). The ranges of spatial dependence (the distances within which parameters are spatially dependent) for aspect, SOC, elevation, SM, and BD were 9810 m, 3070 m, 1120 m, 930 m and 430 m, respectively. Cross correlograms indicate that SOC varies closely with elevation and SM depending on the distances between samples. The correlation can shift from positive to negative as the separation distance increases. Larger ranges of spatial dependence of SOC, aspect and elevation indicate that the distribution of SOC in the LEF is determined by a combination of biotic (e.g., litterfall) and abiotic factors (e.g., microclimate and topographic features) related to elevation and aspect. This demonstrates the importance of both elevation and topographic gradients in controlling climate, vegetation distribution and soil properties as well as the associated biogeochemical processes in the LEF.This revised version was published online in May 2005 with corrections to the Cover Date.     

商品肉猪胴体性状的测定及其相关性分析

引进丹麦先进仪器FAT—O—MEAT’ER(肉脂仪)对中国鲁梅克斯食品总公司名山县屠宰场中5821头猪进行了现场测定，测量性状为最后一根肋骨处离背中线4～5cm处的膘厚(P2)和倒数第三、四根肋骨之间，离背中线4—5cm处的膘厚(RF)以及眼肌厚度(RM)，并估测出瘦肉率。对所测胴体各性状的均数和相关性分析，表明本地商品肉猪胴体质量低于国外水平。     

基于冗余分析的高寒草原土壤与草地退化关系

在高寒草原退化草地设置研究样地,观测植物群落特征、采集土壤样品、分析土壤物理化学性质,依据数量生态学基本原理,探讨高寒草原退化草地与土壤因子间关系。结果表明:不同退化程度样地沿冗余分析排序图第一排序轴分布,第一排序轴反映草地退化程度的变化;草地植物群落中与第一排序轴负相关且按相关程度大小排序的指标为盖度>地上生物量>地下生物量;第一、第二排序轴能够解释97.1%的土壤因子与草地退化关系;土壤沙砾、p H与第一排序轴正相关,土壤有机碳、土壤含水量、容重、全氮、有效氮与第一排序轴负相关;第一排序轴及所有排序轴所反映的土壤因子均与草地退化之间呈极显著相关关系(P<0.01);不同土壤因子与草地退化之间相关程度不同,土壤有机碳(r=-0.890)、土壤含水量(r=-0.864)、容重(r=-0.847)、全氮(r=-0.836)、有效氮(r=-0.821)等与高寒草原退化相关程度更高且相关关系极显著(P<0.01)。利用退化草地群落特征和土壤因子数据矩阵进行冗余分析能够较好地综合反映土壤因子与草地退化之间的关系及相关程度,土壤有机碳、土壤含水量、容重、全氮、有效氮是反映高寒草原退化的重要土壤指标。     

安徽省农业气象灾害时间分布特征与灰色关联分析

为了探寻安徽省农业气象灾害的分布特点以及各种气象灾害对粮食生产的影响,本研究基于安徽省1992—2012年有关气象灾害数据,对4种主要气象灾害(旱灾、水灾、风雹灾、霜冻灾)的分布特征进行统计分析,并采用灰色关联分析研究其对安徽省粮食单产的影响。结果表明:1992—2012年,安徽省气象灾害具有发生频率高、波动大的特点,但整体上呈下降趋势。旱灾和水灾是发生面积较大的气象灾害,且常在时间上交织、空间上并存。灰色关联分析表明,4种气象灾害对粮食产量影响顺序:风雹灾水灾旱灾霜冻灾,说明风雹灾是影响粮食产量最主要的气象灾害,其次是水灾、旱灾,霜冻灾影响较小。本研究可为安徽省防灾减灾措施的制定提供决策依据。     

广西5种人工林地土壤微生物数量及土壤酶活性分析

为当地珍贵速生树种人工林的发展及合理利用提供理论依据。分析广西5种珍贵树种人工林土壤微生物数量及土壤酶活性差异,以相同立地条件下12年生的黑木相思(Acacia melanoxylon)、老排(Mytilaria laosensis)、红椎(Castanopsis hystrix)、黧蒴椎(Castanopsis fissa)和火力楠(Michelia macelurei)人工纯林为研究对象,采用稀释平板涂布法和土壤酶活性测定法,测定和分析该5种人工林地土壤微生物数量及酶活性。结果表明:5种林地的土壤微生物总数和细菌数量大小均为:火力楠黧蒴锥红椎黑木相思米老排。但5种林地的土壤酶活性大小不一,蔗糖酶、脲酶、蛋白酶、酸性磷酸酶活性在5种林地之间的差异极其显著,而过氧化氢酶活性不显著。5种林地中土壤酶活性相对较强的是米老排人工林,较弱的是黑木相思林和火力楠林。土壤酶活性与微生物数量的相关分析表明,土壤中蔗糖酶活性与放线菌数量呈极显著正相关关系,其余相关性没有达到显著水平。     

12份燕麦品种在阿鲁科尔沁旗地区的生产性能研究

【目的】筛选适宜内蒙阿鲁科尔沁旗地区种植的燕麦品种。【方法】对12份燕麦(Avena sativa)品种的生育期、草产量、茎叶比、营养特性等进行测定和分析,并运用灰色关联度分析法对各品种的生产性能进行综合评价。【结果】12份供试燕麦品种均能在阿鲁科尔沁旗地区完成整个生育期,表现出较好的适应性,生育期为83～94 d,其中枪手的生育期最短(83 d),爱沃的生育期最长(94 d)。贝勒二代和牧王的株高均达到100 cm以上。枪手、贝勒二代和牧王的干草产量较高,分别为9.99,8.69和8.59 t/hm~2。贝勒二代的茎叶比最低(1.12),适口性最好;美达的茎叶比最高(3.19)。爱沃和贝勒二代的粗蛋白含量(质量分数)较高,分别为12.20%和11.90%;太阳神、贝勒二代和领袖的中性洗涤纤维及酸性洗涤纤维含量较低,领袖和贝勒二代的相对饲喂价值较高。灰色关联度分析表明,综合评价排在前2位的燕麦品种为贝勒二代和牧王,其加权关联度分别为0.838 2和0.799 1。【结论】燕麦品种贝勒二代和牧王综合表现最好,适宜在阿鲁科尔沁旗地区推广种植。     

覆膜滴灌玉米产量和农艺性状相关性分析

为明确在覆膜滴灌条件下玉米品系(种)主要农艺性状与产量的关系,应用DPS软件对15个玉米杂交品系(种)的主要农艺性状和产量性状进行相关性、灰色关联度等分析,结果表明:籽粒重、穗重、产量的变异系数较大;玉米产量与生育期、籽粒水分含量、穗重、籽粒重呈显著正相关关系;聚类分析可将参试的15个品系(种)划分为3类,第Ⅲ类表现良好,值得进行推广种植。灰色关联度分析表明,玉米籽粒重、穗重、生育期、籽粒水分含量等性状是影响玉米产量的主导因素,在玉米高产育种中,应以其为主攻目标,提高玉米后代的有效选择,加速高产育种进程。