小麦4B染色体上LOX基因的等位变异及其区域分布

为了解中国不同麦区小麦种质资源籽粒脂肪氧化酶（lipoxygenase,LOX）活性相关基因TaLox-B1的差异和分布,利用小麦4B染色体上的功能标记LOX16和LOX18对7个麦区的436份种质资源进行分子检测。结果表明：在供试材料中共检测到3种TaLox-B1基因等位变异类型,分别为TaLox-B1a（与高LOX活性相关)、TaLox-B1b（与低LOX活性相关）和杂合型,其频率分别为19.0％、70.4％和10.6％。小麦LOX活性基因不同变异类型在各生态区的分布存在明显差异：基因型TaLox-B1a在黄淮冬麦区、北部冬麦区和长江中下游冬麦区分布较多,其比例分别为21.1%、19.8%和17.6%;基因型TaLox-B1b在西南冬麦区和长江中下游冬麦区分布较多,比例分别为87.9%、72.5%;杂合型仅存在于北部冬麦区、黄淮冬麦区与长江中下游冬麦区,比例分别为14.2%、12.4%和9.8%。利用标记LOX16和LOX18对53个自选高代品系进行分子检测,发现自选品系仅有TaLox-B1b与杂合型两种基因型,其中基因型TaLox-B1ab有32个,比例为60.4%。采用分子标记辅助选择,有利于快速鉴定小麦籽粒LOX活性,加速LOX的遗传改良和新品种选育。     

‘哈伯’南天竹组织培养和快速繁殖

为建立‘哈伯’南天竹组织培养和种苗繁育技术体系,以半木质化带芽茎段为外植体材料开展植株再生研究。通过观察对比试验法、L₉(3⁴)正交试验设计完全随机法、极差分析、显著性检验、LSD多重比较,探讨了‘哈伯’南天竹组培的最适培养基配方。试验结果表明：最佳诱导培养基为MS + 6-BA 2.0 mg/L + IBA 0.1 mg/L +蔗糖30 g/L,诱导萌动率71.77%,成活率85.51%;最佳增殖培养基为WPM +6-BA 1.5 mg/L + IBA 0.01 mg/L + 蔗糖30 g/L,增殖系数6.3;最佳生根培养基为1/2 MS+ IBA 0.5 mg/L + NAA 1.0 mg/L + 蔗糖20 g/L + AC 0.2 g/L,生根率97.63%;试管苗移入泥炭土:珍珠岩=3:2(V/V)混合基质中,移栽成活率96.67%。该试验建立了高效稳定的组培快繁技术体系,得到的组培苗后代能够稳定的保持母本优良性状,为工厂化育苗提供了技术支撑。     

滴灌下生物质改良材料对盐渍土水盐氮运移的调控效应

为探究生物质改良材料对滴灌盐渍土水、盐、肥运移过程的调控效应，采用土箱模拟试验，研究了水肥一体化滴灌条件下，生物炭和腐殖酸两种改良材料对盐渍土水、盐、氮运移和再分布过程及其时空分布特征的影响规律。结果表明：在滴灌条件下，盐渍土壤水盐的时空动态变化表现出明显的水分入渗驱动的盐分运移过程和蒸发扩散驱动的水盐再分布过程；铵态氮含量在时间上表现出先增大、后减小的变化趋势，在空间上的运移再分布特征较弱；硝态氮含量初始时空分布表现出与水盐相似的运移特征，受铵态氮硝化作用的多重影响，后期空间分布与铵态氮空间分布相似；生物炭通过提高土壤饱和导水率，增大了入渗阶段土壤水、盐、氮的运移速率和分布范围；腐殖酸通过提高土壤田间持水率增大了再分布过程土壤水、盐、氮的分布范围和强度，同时其对尿素的水解和硝化过程表现出更强的抑制效果。应用生物质改良材料在改变土壤物理性状进而调控滴灌土壤水盐运移的同时，还影响土壤氮素转化运移过程及其分布，这为水肥一体化滴灌盐渍农田的节水、控盐、减肥治理提供了理论基础。     

我国云南、湖北和山东葡萄产区霜霉病菌对甲霜灵的抗性检测

为明确我国云南省宾川县、湖北省公安县和山东省烟台市葡萄产区霜霉病菌对甲霜灵的抗性发生态势,采用叶盘漂浮法测定了这3个产区共127株葡萄霜霉病菌对甲霜灵的抗性频率及抗性水平。结果显示,不同区域间病菌的抗性频率和抗性水平均存在差异。其中,湖北省公安县霜霉病菌的抗性频率和抗性水平均较高,抗性频率达92.0%,高抗菌株占76.0%,低抗菌株占16.0%,敏感菌株占8.0%;山东省烟台市霜霉病菌的抗性频率为74.0%,低抗菌株占64.0%,高抗菌株占10.0%,敏感菌株占26.0%;云南省宾川县霜霉病菌的抗性频率和抗性水平均较低,抗性频率为29.6%,敏感菌株占70.4%,低抗菌株占29.6%,无高抗菌株。     

氮磷钾配比对长优2号产量和经济性状的影响

采用“3414”方案设计试验,研究氮磷钾不同配比施肥对长优2号产量及经济性状的影响,结果表明,氮、磷、钾对长优2号都有一定的增产效应,其中以氮的增产效应最为显著,磷与钾次之。初步得出本次试验最佳施肥量为“N”16.23㎏/667㎡、“P2O5”8.46㎏/667㎡、“K2O”16.06㎏/667㎡,NPK比接近“1：0.5：1”水平。     

马铃薯枯萎病和干腐病药剂防治筛选试验报告

马铃薯产业是宁夏“1+4”特色优势产业,是西吉县所有农作物中种植面积最大、涉及农户最多、比较效益最高的农民脱贫致富的主导产业。近年来西吉县马铃薯产业由商品薯种植大县向种薯繁育大县的转变,推动了农业增效,农民增收的快速发展。但各类土传性病害的发生影响了马铃薯产业的发展,同时磋商了农民种植的积极性。为了测定筛选出对马铃薯枯萎病和干腐病防治效果好、成本较低药剂,为大田防治提供科学依据。     

我国黄瓜抗病品种选育技术研究进展

黄瓜在我国蔬菜产业中占有重要地位,然而连片种植、重茬栽培等条件下容易滋生病菌,尤其是随着我国保护地蔬菜生产规模的扩大,棚室内的温湿度条件更利于病害的发生与流行,黄瓜生产上面临着严重的病虫害威胁,包括生理性病害、感染性病害及虫害等。本文从抗病品种选育的角度分析了黄瓜病害抗病品种选育技术,并简要介绍了其他防治方法,展望了相关研究的发展方向,为黄瓜病虫害的防治提供参考。     

Genome wide association studies (GWAS) of element contents in grain with a special focus on zinc and iron in a world collection of barley (Hordeum vulgare L.)

Genome wide association studies (GWAS) were carried out to map Quantitative Trait Loci (QTL) associated with element contents in the grain using 336 spring barley. Of the elements analyzed, Fe content ranged from 21.9 to 91.0 mg kg⁻¹, Zn from 10.4 to 54.5 mg kg⁻¹, Ba from 0.2 to 8.9, Ca from 186.4 to 977.5, Cu from 1.5 to 9.8, K from 353.2 to 7721.5, Mg from 1049.8 to 2024.2, Mn from 8.1 to 22.9, Na from 55.9 to 627.9, P from 2272.9 to 5428.8, S from 880.7 to 1898.0, Si from 19.1 to 663.2, and Sr from 0.35 to 2.62 mg kg⁻¹. GWAS were carried out using 6519 SNP markers and multiple elements in MLM:PCA + K model in TASSEL software. Population analyses showed two sub-populations, primarily based on row types. GWAS for row types showed association with INTERMEDIUM-C, a modifier gene for lateral spikelet fertility in the 4H chromosome, validating current GWAS approach. GWAS also showed that 2 QTL for Ba, 2 for Ca, 4 for Cu, 11 for Fe, 2 for K, 3 for Mg, 6 for Mn, 4 for Na, 3 for S, 5 for Si, and 3 for Zn were mapped in barley chromosomes. The QTL identified in the current study are valuable for breeding nutrient dense barley cultivars in the future, especially Zn and Fe.     

Prediction of baking results from farinograph measurements by using stepwise linear regression and artificial neuronal networks

In an effort to extract additional data from farinograph experiments a model was developed to simulate the measurements and correlate the parameters of the model with results from baking tests. This additional information can be used in bakeries to predict the baking properties of the flours and adjust the recipes to maintain a constant product quality. For this eight different flours were characterized with a farinograph and 13 different results from baking experiments. An approach with five nonlinear differential equations was able to model the farinograph measurements very well (average R² = 0.995 ± 0.005). While a stepwise multilinear regression only showed weak correlations in cross validation between a single parameter of the model and the baking volume (R² = 0.745) and the volume yield (R² = 0.796) respectively, the artificial neuronal network was more successful. For the baking weight (R² = 0.926), the dough yield gross (R² = 0.909) and net (R² = 0.913) strong correlations were found. A good correlation for the baking volume (R² = 0.853) was also determined, while the volume yield showed comparable results to the linear regression (R² = 0.792).