大型组合式机械通风玉米穗储粮仓的设计

本研究针对大农户玉米穗储藏的实际情况，研制了大型组合式机械通风玉米穗储粮仓，并对其进行了装粮试验。结果表明：该型储粮仓机械性能稳定，结构组装方便，降水、防霉、防鼠效果显著，可有效降低粮食产后损失，保证粮食品质。 [关键词] 粮仓|玉米穗|机械通风     

冠菌素对玉米抗倒伏能力及产量的影响

在田间条件下，以玉米品种先玉335和郑单958为材料，在八展叶时于叶面喷施不同浓度 (0、0.01、0.1、1和10 μmol/L) 冠菌素 (COR)，研究了COR对玉米抗倒伏能力及产量的影响。结果表明:经10 μmol/L COR处理后，先玉335的株高和穗位高分别比对照降低了7.0%和19.9%，郑单958分别降低了20.8%和18.2%，单株叶面积、节间抗折断力、穗下第8~14节间长度和节间最大直径与对照间亦差异显著。且随着COR浓度的增加，先玉335和郑单958的株高、穗位高、单株叶面积和穗下第8~14 节间长度均逐渐降低；第8~14节间最大直径和节间抗折断力逐渐增大。经1 μmol/L COR处理后，2个供试玉米品种的产量、穗数、穗粒数和千粒重较对照均有所增加，其中先玉335的产量较对照增加了9.9%，郑单958增加了4.3%。综上所述，COR可以提高玉米的抗倒伏能力，不同品种玉米对COR的敏感性不同，其中先玉335抗倒伏的最适COR浓度为10 μmol/L，郑单958抗倒伏的最适COR浓度为1 μmol/L。     

Impact of High Night‐Time and High Daytime Temperature Stress on Winter Wheat

High temperature is a major environmental factor that limits wheat (Triticum aestivum L.) productivity. Climate models predict greater increases in night‐time temperature than in daytime temperature. The objective of this research was to compare the effects of high daytime and high night‐time temperatures during anthesis on physiological (chlorophyll fluorescence, chlorophyll concentration, leaf level photosynthesis, and membrane damage), biochemical (reactive oxygen species (ROS) concentration and antioxidant capacity in leaves), growth and yield traits of wheat genotypes. Winter wheat genotypes (Ventnor and Karl 92) were grown at optimum temperatures (25/15 °C, maximum/minimum) until the onset of anthesis. Thereafter, plants were exposed to high night‐time (HN, 25/24 °C), high daytime (HD, 35/15 °C), high daytime and night‐time (HDN, 35/24 °C) or optimum temperatures for 7 days. Compared with optimum temperature, HN, HD and HDN increased ROS concentration and membrane damage and decreased antioxidant capacity, photochemical efficiency, leaf level photosynthesis, seed set, grain number and grain yield per spike. Impact of HN and HD was similar on all traits. Greater impact on seed set, grain number and grain yield per spike was observed at HDN compared with HN and HD. These results suggest that HN and HD during anthesis cause damage of a similar magnitude to winter wheat.     

双季稻最佳磷肥和钾肥用量与密度组合研究

【目的】为明确磷肥、钾肥用量和移栽密度对双季稻的施用效果,在田间试验条件下研究了不同磷肥用量、钾肥用量和移栽密度组合对江西双季稻产量、产量构成要素及磷肥和钾肥利用率的影响。【方法】本研究采用裂区试验设计研究了不同施磷量和移栽密度、不同施钾量和移栽密度对双季稻产量、磷肥和钾肥利用率的影响。磷肥用量和移栽密度试验中,设4个施磷水平(P2O5 0、60、90、120 kg/hm2,以P0、P60、P90和P120表示)和4种移栽密度(21×104、27×104、33×104、39×104 穴/hm2,以D21、D27、D33和D39表示)组合。钾肥用量和移栽密度试验中,设4个施钾水平(K2O 0、90、120、150 kg/hm2,以K0、K90、K120和K150表示),密度设置同磷肥试验。在水稻成熟期对产量以及产量构成要素进行测定,并分析其磷素和钾素的吸收量和利用率等指标。【结果】磷肥与密度试验中,同一施磷水平下,早稻产量和地上部磷素吸收量随着移栽密度的增加而增加,当施磷量超过60 kg/hm2时,产量和磷素吸收量不再随密度增加而显著增加,磷素吸收利用率(REP)、磷素农学效率(AEP)和磷素偏生产力(PFPP)逐步降低,以P60D39处理组合的产量和磷素吸收利用率最高,分别为5303.9 kg/hm2和24.4%,AEP为29.4 kg/kg; 晚稻则以施磷量在60 kg/hm2和33×104 穴/hm2密度组合的产量和磷素吸收利用率最高,分别为7246.9 kg/hm2和42.4%,AEP为36.2 kg/kg。钾肥与密度试验中,早稻的钾素吸收量随着施钾量的增加而增加,施钾量在120 kg/hm2和39×104 穴/hm2密度组合的处理产量和钾素吸收利用率(REK)最高,分别为6376.3 kg/hm2和67.2%,此时钾素农学效率(AEK)为15.6 kg/kg; 晚稻则以施钾量在90 kg/hm2和33×104 穴/hm2密度组合的处理产量和REK最佳,分别为7025.6 kg/hm2和74.0%,AEK为21.7 kg/kg。【结论】合理的磷肥、钾肥用量和移栽密度可以显著增加水稻单位面积有效穗数和养分累积量,进而增加水稻产量和肥料利用率,但过高的磷肥和钾肥施用会抑制产量的进一步增加。建议本研究区域的早稻采用施磷量在60 kg/hm2、施钾量120 kg/hm2和39×104穴/hm2的密度组合,而晚稻采用施磷量60 kg/hm2、施钾量90 kg/hm2和33×104 穴/hm2的密度组合。     

粮食生产潜力短期预测的“趋势-波动模型”的验证

应用全国、31个省、6个典型地区和16个典型县的数据对粮食生产潜力短期预测的"趋势-波动模型"进行了系统性的验证和讨论。研究结果表明:(1)预测误差大小反映短期生产潜力的预测精度,预测误差大的主要原因是经济发达地区高产农田被大量占用和(或)蔬菜、水果种植面积大幅度增加而短期内使粮食单产下降;(2)小趋势修正方法是"趋势-波动模型"中不可缺少的一部分,它能将大趋势预测不能包括的短期如气象因素、科技投入、社会因素等影响纳入预测中,提高预测精度;(3)就我国近些年来的实际情况而言,越是经济发达的地区短期生产潜力的波动越大;同样发达地区短期潜力存在增加-下降-回升阶段;(4)就短期生产潜力预测精度而言:国家级大于省级、省级大于地区级、地区级大于县级;不同省、不同地区、不同县之间预测精度差别比较大,这与境内气候的互补性和农田抗御自然灾害的能力有关。     

基于智能算法优化SVM的横向通风过程中温度场预测方法探究

将改进的智能预测技术应用于储粮横向通风过程中的粮堆温度预测,为粮食通风智能预测与决策提供了一种新思路。选取河北清苑国家粮食储备库冬季横向通风的实时监测数据,在分析主要影响因素的基础上,应用三种智能优化算法——网格寻优算法、GA遗传算法寻优、PSO粒子群算法,结合回归支持向量机理论,对粮堆的通风过程进行建模。结果表明,优化过的回归预测模型能较好地拟合粮食温度与其他变量之间的非线性关系,尤其是当样本数量较为有限时,该方法具有更高的拟合精度,更适合对储粮通风这一强非线性过程的预测研究,对于人工干预操作具有一定的现实指导意义。     

Screening of Ethiopian sorghum (Sorghum bicolor) landraces for their performance under Striga hermonthica ‐infested conditions

Striga hermonthica is a major constraint to sorghum production and productivity in sub‐Saharan Africa, Ethiopia, in particular. The objectives of this study were to evaluate the performance of 49 sorghum genotypes based on their reaction to S. hermonthica and investigate the relationships among yield and Striga resistance traits, including the Striga emergence count, area under Striga number progress curve, area under Striga severity progress curve, grain yield under infested, grain yield under non‐infested conditions and relative yield loss. The genotypes differed significantly in all measured parameters under Striga‐infested and non‐infested conditions. The genotypes ‘Birhan’, ‘Gubiye’, Wolegie, Zegerie, Nechmashila I, Woftel, Tetron and Eyssa were identified as promising ones based on grain yield and Striga‐related traits. On the other hand, the genotypes Jamyo, Bobie, Gedido, Mankebar and Zengada had moderate Striga numbers with low relative yield loss as compared with susceptible checks. The most promising variety, Zegerie, Mankebar and Zengada, out yielded the standard resistant checks ‘Birhan’ and ‘Gubiye’ under Striga infestation. Ward cluster analysis grouped the 49 sorghum genotypes in to four distinct clusters under Striga‐infested conditions. All members of clusters II and III showed the highest yielding group with the lowest to moderate Striga number, while cluster IV supported the lowest yield with the highest Striga number. Significant negative correlations were observed between yield‐ and Striga‐related traits. Highly significant and strong correlations were observed among Striga resistance indices, indicating that any of the Striga resistance parameters can be used as an indicator of resistance. The wide variations in grain yield among genotypes under Striga‐infested conditions would be invaluable genetic resources for production in Striga endemic areas of Ethiopia.