北京农科城驱动产业融合发展实践与成效分析

产业融合是产业经济发展中的一种新范式,本文作者基于产业融合理论,构建农业产业融合发展驱动模型,并以北京农科城驱动产业融合发展实践为例,剖析农业产业融合发展的路径与成效。研究发现北京农科城建设有效驱动了农业产业融合发展,具体实践具有代表性,对我国农业产业融合发展具有借鉴作用。     

Effects of cerium on the antioxidant defence system in the petals and the contents of pigments in the calyces of Rosa chinensis Jacq. cut flower

To study the role of cerium (Ce) in regulating the vase life of Rosa chinensis Jacq. cut flowers, the effects of cerium nitrate (Ce(NO₃)₃) on the activities of antioxidant enzymes, the contents of malondialdehyde (MDA) and hydrogen peroxide (H₂O₂) in the petals, and the contents of chlorophyll a, chlorophyll b and carotenoids in the calyces were investigated. The results showed that Ce(NO₃)₃ evidently enhanced the activities of peroxidase (POD), catalase (CAT), superoxide dismutase (SOD), ascorbate peroxidase (APX), glutathione reductase (GR), glutathione S-transferase (GST) and glutathione peroxidase (GPX), and evidently decreased the contents of MDA and H₂O₂ in the petals, compared with the control. Moreover, Ce(NO₃)₃ evidently increased the contents of chlorophyll a, chlorophyll b and carotenoids in the calyces. The results also showed that Ce(NO₃)₃ evidently increased the numbers of open flowers and decreased the numbers of wilted flowers. Our results suggest that Ce(NO₃)₃ extended the vase life of R. chinensis Jacq. cut flower by improving the antioxidant defence system in the petals and the contents of pigments in the calyces.     

五台山野生迎红杜鹃组织培养技术研究

以五台山野生迎红杜鹃的种子为试验材料,比较了不同培养基配方、生长调节剂种类和浓度对迎红杜鹃组织培养的影响,建立了迎红杜鹃组织培养再生体系.结果表明:最佳消毒方式为70％的酒精浸泡30 s+8.0％次氯酸钠浸泡处理8 min+无菌水冲洗;基本培养基为Anderson+0.1 mg/LNAA;增殖培养基为Anderson+1.0 mg/L ZT+ 0.1 mg/LNAA;生根培养基为Anderson+1.0 mg/L NAA;炼苗移栽基质以腐殖土∶珍珠岩=2∶1混合效果最好.     

5个竹种林下土壤营养元素含量比较

[目的]比较不同竹种林下土壤的营养元素含量。[方法]在福建农林大学百竹园内选取大明竹、牡竹、角竹、花巨竹和大木竹5个竹种,分别于春、夏、秋、冬4个季节对其林下土壤进行"S"型多点采样,对其氮、磷、钾含量进行测定。[结果]大明竹、牡竹、角竹、花巨竹和大木竹5个竹种林下土壤的营养元素含量皆较高,但各竹种之间的营养元素含量有显著差异,且各竹种在不同季节的营养元素含量也有明显差异。其中大明竹林下土壤的营养元素含量最高,且最为稳定,牡竹相对较差。[结论]在福建地区,大明竹对营养元素的产生及维系稳定具有良好的能力,可成为该地区城市观赏用竹及发展林下经济的优良竹种。     

白三叶返园对苹果园土壤微生物群落的影响

为了解苹果(Malus pumila)园中覆盖和埋置白三叶(Trifolium repens)对土壤微生物群落的影响,采用尼龙袋法将新鲜的白三叶覆盖和埋置到苹果园中,分别在白三叶降解1、3、6个月时,利用Biolog微平板法检测土壤微生物群落的功能多样性。结果表明,覆盖和埋置白三叶均可使苹果园土壤微生物代谢活性显著提高(P0.05),微生物的多样性除6个月外显著增加、丰富度显著增加,均匀度显著降低(P0.05),群落结构发生变化,且覆草处理大于埋草,同时,白三叶降解时间的长短也影响土壤微生物群落。土壤微生物群落主成分分析结果显示,不同返园方式间主要对羧酸类碳源的利用有差异,而导致不同降解时间土壤微生物群落代谢差异的主要是糖类。说明在苹果园覆盖和埋置白三叶可改变土壤微生物群落,而覆盖白三叶对微生物群落结构的改善情况显著优于埋置白三叶。     

水杨酸对盐胁迫下豇豆幼苗生长发育的影响

在300 mmol/L Na Cl胁迫条件下,研究了水杨酸对豇豆[Vigna unguiculata(L.)Walp]幼苗生长发育的影响。结果表明,经水杨酸处理的豇豆幼苗株高、茎粗明显提高,促进了幼苗的形态构建。并且幼苗的超氧化物歧化酶和过氧化物酶活性均显著高于对照,丙二醛含量和电解质渗透率显著或明显降低;水杨酸在适宜的施用浓度范围内能够缓解豇豆幼苗的盐害症状,提高抗盐能力,对豇豆幼苗的生长有一定的促进作用,当水杨酸的处理浓度为100~150 mg/L时,作用效果最明显。     

农垦精神:高校践行社会主义核心价值观的重要维度

在中国革命和社会主义建设中萌芽、凝练的农垦精神,成为各项事业发展,尤其是农业发展的核心价值观。农垦精神与社会主义核心价值观有着密切的内在关联性,二者具有相同的爱国属性、文化基因和理想依托。以农垦精神为核心,开展思想教育、实践教育、文化教育,是高校践行社会主义核心价值观的重要维度。     

Visual Basic程序设计实践教学探讨与研究

讨论了独立院校针对非计算机专业学生Visual Basic程序设计课程的重要性,并探讨了实践教学方法.     

Emerging issues in genomic selection

Genomic selection (GS) is now practiced successfully across many species. However, many questions remain, such as long-term effects, estimations of genomic parameters, robustness of genome-wide association study (GWAS) with small and large datasets, and stability of genomic predictions. This study summarizes presentations from the authors at the 2020 American Society of Animal Science (ASAS) symposium. The focus of many studies until now is on linkage disequilibrium between two loci. Ignoring higher-level equilibrium may lead to phantom dominance and epistasis. The Bulmer effect leads to a reduction of the additive variance; however, the selection for increased recombination rate can release anew genetic variance. With genomic information, estimates of genetic parameters may be biased by genomic preselection, but costs of estimation can increase drastically due to the dense form of the genomic information. To make the computation of estimates feasible, genotypes could be retained only for the most important animals, and methods of estimation should use algorithms that can recognize dense blocks in sparse matrices. GWASs using small genomic datasets frequently find many marker-trait associations, whereas studies using much bigger datasets find only a few. Most of the current tools use very simple models for GWAS, possibly causing artifacts. These models are adequate for large datasets where pseudo-phenotypes such as deregressed proofs indirectly account for important effects for traits of interest. Artifacts arising in GWAS with small datasets can be minimized by using data from all animals (whether genotyped or not), realistic models, and methods that account for population structure. Recent developments permit the computation of P-values from genomic best linear unbiased prediction (GBLUP), where models can be arbitrarily complex but restricted to genotyped animals only, and single-step GBLUP that also uses phenotypes from ungenotyped animals. Stability was an important part of nongenomic evaluations, where genetic predictions were stable in the absence of new data even with low prediction accuracies. Unfortunately, genomic evaluations for such animals change because all animals with genotypes are connected. A top-ranked animal can easily drop in the next evaluation, causing a crisis of confidence in genomic evaluations. While correlations between consecutive genomic evaluations are high, outliers can have differences as high as 1 SD. A solution to fluctuating genomic evaluations is to base selection decisions on groups of animals. Although many issues in GS have been solved, many new issues that require additional research continue to surface.