宁夏玉米营养成分近红外分析模型建立与应用

研究采集宁夏区内各市县(固原、海原、同心、中卫、中宁、永宁、平罗)抽取玉米样品120批,用近红外分析仪扫描定标样品集获得玉米近红外光谱图,利用偏最小二乘法建立模型,并分别经过无预处理、均值中心化、标准正态变量转换、一阶导数、标准正态变量转换结合去趋势校正(SNV+D)预处理光谱,获得水分、粗蛋白、粗脂肪、粗纤维预测模型,分别是经过MC、SNV+D、SNV+D、SNV+D光谱预处理后效果最好。预测决定系数R² _p分别为0.951、0.976、0.728、0.897,相对分析误差RPD除粗脂肪为2.62外,其他均大于3的近红外预测模型,通过预测模型验证集验证后,并对模型预测值与实测值进行U检验,结果为差异不显著(P>0.05)。该近红外预测模型对玉米中水分、粗蛋白、粗纤维具有较佳预测效果,粗脂肪的预测精度有待进一步提高。     

水稻品种合理布局中的灰色分析方法

针对传统品种布局仅以产量为惟一指标的局限性,采用作物品种灰色布局方法,对重庆市2010-2011年区域试验汇总结果进行了研究。结果表明,万优481在万州、潼南、永川三区、县适应性较好,在以上生态区域推广应用能表现出较强的综合优势;广占63S/R2010较适生态区域为丰都、梁平。对灰色布局、方法的可行性及应用前景进行了分析。     

Genome‐Wide Identification of MicroRNAs Responsive to High Temperature in Rice (Oryza sativa) by High‐Throughput Deep Sequencing

MicroRNAs (miRNAs) are known to play important roles in plant growth and stress response. Heat stress is a severe abiotic stresses by adversely affecting plant growth and yield. To identify heat‐responsive miRNAs at the genome‐wide level in rice (Oryza sativa), we constructed two small RNA libraries from young panicles treated or not with heat conditions. Ion torrent sequencing of the two libraries identified 294 known miRNAs and 539 novel miRNAs. Differential expression analysis showed that 26 miRNAs were downregulated and 21 miRNAs were upregulated in response to heat stress. Among them, five heat‐responsive miRNAs, including miR162b, miR529a‐p5, PC‐5P‐62245‐9, miR171b and miR169n, were validated by quantitative real‐time polymerase chain reaction. A total of 44 target genes of the differentially expressed miRNAs were predicted. These target genes are most significantly overrepresented in the cell growth process. The results demonstrated that rice miRNAs play critical roles in the heat stress response. This study opens up a new avenue for understanding the regulatory mechanisms of miRNAs involvement in the heat stress response in rice.     

Limited effects of land use on soil dissolved organic matter chemistry as assessed by excitation–emission fluorescence spectroscopy and molecular weight fractionation

Dissolved organic matter (DOM) in soil solution represents a complex mixture of organic molecules and plays a central role in carbon and nitrogen cycling in plant–microbial–soil systems. We tested whether excitation–emission matrix (EEM) fluorescence spectroscopy can be used to characterize DOM and support previous findings that the majority of DOM is of high molecular weight (MW). EEM fluorescence spectroscopy was used in conjunction with MW fractionation to characterize DOM in soil solution from a grassland soil land management gradient in North Wales, UK. Data analysis suggested that three distinct fluorescence components could be separated and identified from the EEM data. These components were identified as being of humic‐like or fulvic‐like origin. Contrary to expectations, the majority of the fluorescence signal occurred in the small MW (<1 kDa) fraction, although differences between soils from the differently managed grasslands were more apparent in larger MW fractions. We conclude that following further characterization of the chemical composition of the fluorophores, EEM has potential as a sensitive technique for characterizing the small MW phenolic fraction of DOM in soils.     

低海拔异地育肥牦牛与本地杂交肉牛(秦川×西门塔尔)在不同非蛋白氮水平饲粮条件下血液生理生化指标及生长性能的差异

为探究异地育肥牦牛模式,本试验对比了低海拔异地育肥耗牛与本地杂交肉牛(秦川×西门塔尔)在同等条件下血液生理生化指标和生长性能的差异。将体重相近的8头1岁本地杂交肉牛(秦川×西门塔尔)和8头4岁青海牦牛各分为2组,每组4头,同一品种的2组试验牛分别饲喂低非蛋白氮饲粮[LNPN,饲粮中缓释尿素添加量为1.0%(干物质基础)]和高非蛋白氮饲粮[HNPN,饲粮中缓释尿素添加量为1.5%(干物质基础)]。预试期10 d,正试期50 d。结果发现:牦牛与肉牛均在LNPN条件下表现出最高的平均日采食量和最小的料重比。饲粮非蛋白氮水平未对牦牛与肉牛的血常规指标造成显著影响(P0.05),但是牦牛在各饲粮条件下中性粒细胞数目(Gran#)、平均红细胞体积(MCV)、平均红细胞血红蛋白含量(MCH)、红细胞分布宽度标准差(RDW-SD)、平均血小板体积(MPV)和血小板分布宽度(PDW)显著高于肉牛(P0.05),而平均红细胞血红蛋白浓度(M CHC)和血小板数目(PLT)显著低于肉牛(P0.05)。饲粮非蛋白氮水平未对肉牛和牦牛各项血清生化指标产生显著影响(P0.05)。牦牛在各饲粮条件下血清总蛋白(TP)、尿素氮(UN)、肌酐(GREA)、免疫球蛋白A(Ig A)、免疫球蛋白M(Ig M)和免疫球蛋白G(Ig G)水平均显著高于肉牛(P0.05)。牦牛在HNPN条件下的血清白蛋白(ALB)水平显著低于LNPN条件下(P0.05)。本试验结果表明,在肉牛和牦牛育肥饲粮中添加1.0%的缓释尿素替代饲粮蛋白质是可行的;低海拔异地育肥牦牛不会对牦牛健康产生不利影响。     

Some Agronomic Strategies for Organic Quinoa (Chenopodium quinoa Willd.)

Quinoa is a potential new seed crop for protein feed and human consumption in Europe, with tolerance to a range of abiotic stresses. For this purpose the study was planned to analyse the effect of important agronomic strategies like nitrogen level, N application strategy, row spacing and harvest time on yield and quality of quinoa. The experiments took place in the field of the experimental station of the Faculty of Science, University of Copenhagen. Three levels of organic nitrogen from slurry was used (60, 120 and 180 kg N ha^?1), supplied either all at once at sowing, or split between sowing and beginning of the reproductive phase. The effect of row spacing and harvest time was studied by harvesting seeds at seed maturity, which occurred 2–3 weeks prior to the mechanical harvest by threshing, and a couple of months after. Yield increased significantly (P ≤ 0.05) with an application up to 180 kg N ha^?1, reaching 2200 kg ha^?1. Increasing N also caused a significantly increased seed weight (up to 3.3 mg) and protein content (up to 17 %). N level did not affect number and amount of weeds. Split application with part of the N applied at bud formation did not have a significant effect on yield. Delayed harvest had a negative influence on seed weight, whereas protein content was stable after harvesting even a month after seed maturity. A late harvest significantly reduced seed germination, being reduced by 50 % after a 2‐month delay. A conclusion from this study is that both yield and protein content of seed can be manipulated by N level and application strategy. Harvest time is important for securing a high seed quality measured as seed germination, seed weight and protein content. A fast germination of quinoa is an important characteristic demonstrating that the crop has good possibilities for being well‐established in the field when free from weeds at the time of sowing. The choice of row spacing is important and depends on weed control method. Weed control strategy should be developed based on modern precision tools.     

Morphological and Physiological Responses of Plantain (Plantago lanceolata) and Chicory (Cichorium intybus) to Water Stress and Defoliation Frequency

Plants are often subjected to periods of water stress. There are little data examining the effect of water stress on the forage species Plantago lanceolata and Cichorium intybus. In two pot experiments with P. lanceolata and C. intybus, morphological responses under optimum, dry, and very‐dry water treatments with weekly, fortnightly and 3‐weekly defoliation intervals and physiological responses under optimum and very‐dry water treatments were measured. A third experiment compared the rooting depths of P. lanceolata and C. intybus under field conditions. These findings suggest that both P. lanceolata and C. intybus can survive and continue to grow under water stress conditions with the main differences between the two species being attributable to morphological characteristics (root mass, taproot diameter and shoot mass fraction) rather than differences at a physiological level. Overall, the results suggest plantain may be more productive under moderate drought due to its greater shoot mass fraction, whereas chicory may be more productive and persistent under severe drought due to its greater root mass, taproot diameter and root depth under field conditions.     

基于关联度、主成分和聚类分析的西南区玉米新组合评价

对于玉米育种而言,新组合的科学评价至关重要。以西南区55个玉米新组合为研究材料,对其产量等15个农艺性状进行灰色关联度分析、主成分分析和聚类分析。结果表明:不同玉米新组合农艺性状与产量的关联度大小依次为单株粒重>穗粗>籽粒含水量>百粒重>空杆率>穗行数>出籽率>穗长>倒折率>行粒数>茎粗>株高>穗位高>秃尖长。以产量最高组合1703为理想品种,综合评价表现较优的组合有成单388、绵1308、川单1751和荣玉1756。通过主成分分析将14个性状降为9个主成分,可解释表型变异的91.11%。依据主成分综合评价模型,可将所有组合分为6类,其中,川单1751、青青711、恩1010、成单388、绵1308、青青733和1703表现最优。聚类分析结果则将所有材料分为5类,结果与主成分分析法得出的结论基本一致。结果表明,玉米新组合绵1308、成单388、川单1751和1703表现最优。