宁南干旱山区的节水灌溉技术

宁夏南部干旱区农业产生最突出的矛盾是干旱缺水，近年，发展节水灌溉在宁南山区农业生产与经济建设中取得了一定成效，重点推广集雨节灌（滴灌，喷灌，膜上膜下点灌及窖，井下微灌），低压管灌等节水灌溉技术，对缓解干旱地区水资源供需矛盾发挥了重要作用。     

"牛羊肥"添加剂对秦川公牛育肥效果的影响

利用“牛羊肥”添加剂，在舍饲的条件下，对对秦川公牛的育肥实验表明：实验期实验组的总增重，日增重，胴体重，屠宰率比对照组分别高出41．80kg,464.44g,44.90kg,11.22个百分点（P＜0．01）。试验组的饲料组报酬是对照组的2．04倍。     

东方百合L_sCCR1基因的克隆及表达分析

百合茎秆的挺度直接关系到百合花采收后的货架寿命等重要商品性状,而这些商品性状与植物茎秆中的木质素的含量高低有关.本文应用RLM-RACE技术,从东方百合索蚌植株中克隆了木质素合成相关基因一肉桂酰辅酶A还原酶,定名为LsCCR1.该基因cDNA全长为1 499 bp,包括完整的阅读框,编码388个氨基酸.多重比对分析发现百合LsCCR1基因与其他植物上已经发现的CCR基因同源性多介于55%～66%之间.利用半定量PCR检测LsCCR1基因在百合不同组织中的表达差异,结果显示LsCCR1基因主要在百合的茎秆中表达,根部次之,叶片、鳞茎及花蕾中表达量较少,其表达模式与拟南芥、桉树及大麦中CCR基因的表达模式类似.     

芦荟饮料褐变的控制研究

研究了芦荟凝胶在制汁过程及芦荟饮料在加工过程中温度和时间等因数对芦荟饮料色泽的影响。结果表明,搅汁时间10min,杀菌温度85℃,杀菌时间25min是有效控制芦荟饮料褐变的最佳工艺参数。     

猪结合珠蛋白基因的克隆、原核表达及单克隆抗体制备

本研究的目的在于利用重组猪结合珠蛋白(Haptoglobin,Hp)制备特异性单克隆抗体.以梅山猪肝脏总RNA为模板,利用RT-PCR方法扩增猪hp基因,将其克隆到原核表达栽体pGEX-KG和pET-32a上,转化至E.coli BL21中,IPTG诱导下高效表达重组GST-Hp和HIS-Hp蛋白.用纯化的重组GST-Hp免疫BALB/c小鼠,用纯化的HIS-Hp作为包被抗原进行间接ELISA检测,通过淋巴细胞杂交瘤技术筛选阳性细胞株,制备单克隆抗体.结果表明筛选到2株高效分泌抗猪Hp单克隆抗体的杂交瘤细胞株,命名为3B4和3C8.Western-blot和间接ELISA检测均表明制备的单克隆抗体具有良好的特异性.     

有益菌根真菌及其互作对带叶兜兰试管苗生理生长的影响

为探讨菌根真菌的互作效应,筛选协同互作模式组合,对从野生兜兰新鲜营养根中分离、筛选出的3种菌根真菌（PF02、PF06和PF07）,采用单菌接种、双菌混合接种和三菌混合菌种等7种接种方式,开展菌−苗共生培养,筛选出优势菌株PF02和PF07,揭示在实验室环境下接菌方式与接种效应之间的相互联系,分析菌根真菌互作对带叶兜兰植株生长和生理的影响。结果表明：显示菌根真菌互作对宿主植株的生物量、保护酶活性及叶绿素总量具有较好的正向效应。3种双菌混合接种方式PF02−PF06、PF02−PF07及PF06−PF07均能有效促进带叶兜兰生物量增长,尤其是PF02−PF06接种方式,抗氧化酶POD、超氧化物歧化酶SOD、过氧化氢酶CAT活性及叶绿素总量提高显著。选择优化的接种方式,以及能够协同促进、达到共生平衡的最佳接种方式组合,最大限度发挥菌根对宿主植物的益生作用。     

Effect of Steeping Conditions on Wet-Milling Characteristics of Hard Red Winter Wheat

A batch-wise small-scale wet-processing laboratory for whole wheat kernel has been designed and constructed to produce wheat starch and gluten from wheat grains. Hard red winter wheat kernels were steeped in three steeping media: SO₂ solution, lactic acid, and hydrochloric acid. Acid concentrations of 0.1, 0.3, and 0.5%, were used for SO₂ solutions and hydrochloric acid, and 0.1, 0.6, and 3.0% for lactic acid. After 16, 20, and 24 hr of steeping, the wheat was wet-milled. Yields and protein contents of wet-milling fractions were compared. Both high concentration of steeping media and long steeping time increased the starch yield and decreased the protein contents of the starch. However, the steeping time and acid concentration could be reduced from 24 to 20 hr and from 0.5 to 0.3%, respectively, without any statistically significant difference in starch yields or protein contents of the starch. Consistency and color of the starch were affected by both steeping time and acid concentrations of steeping media.     

Forest biomass and root–shoot allocation in northeast China

Temperate and boreal forests act as major sinks for atmospheric CO₂. To assess the magnitude and distribution of the sinks more precisely, an accurate estimation of forest biomass is required. However, the determinants of large-scale biomass pattern (especially root biomass) are still poorly understood for these forests in China. In this study, we used 515 field measurements of biomass across the northeast part of China, to examine factors affecting large-scale biomass pattern and root–shoot biomass allocation. Our results showed that, Picea & Abies forest and coniferous & broadleaf mixed forest had the highest mean biomass (178–202 Mg/ha), while Pinus sylvestris forest the lowest (78 Mg/ha). The root:shoot (R/S) biomass ratio ranged between 0.09 and 0.67 in northeast China, with an average of 0.27. Forest origin (primary/secondary/planted forest) explained 31–37% of variation in biomass (total, shoot and root), while climate explained only 8–15%, reflecting the strong effect of disturbance on forest biomass. Compared with shoot biomass, root biomass was less limited by precipitation as a result of biomass allocation change. R/S ratio was negatively related to water availability, shoot biomass, stand age, height and volume, suggesting significant effects of climate and ontogeny on biomass allocation. Root–shoot biomass relationships also differed significantly between natural and planted forests, and between broadleaf and coniferous forests. Shoot biomass, climate and forest origin were the most important predictors for root biomass, and together explained 83% of the variation. This model provided a better way for estimating root biomass than the R/S ratio method, which predicted root biomass with a R² of 0.71.