河套地区种植方式与密度对'张杂谷19号'产量的影响

为明确河套地区不同栽培模式对'张杂谷19号'产量的影响,以新抗旱谷子杂交种'张杂谷19号'为试验材料,研究3种种植方式（干旱无膜、干旱覆膜及灌溉无膜）和5种密度（4.5万、9万、13.5万、22.5万、45万株/hm²）对'张杂谷19号'稳产和丰产性的影响。结果表明,正常灌溉条件下,'张杂谷9号'的产量随着种植密度的增加而增加。当密度为45万株/hm²时产量最高,达到8724.36 kg/hm²。而干旱条件下,适宜种植密度可以同样获得较高产量,与正常灌溉条件下最高产量差异不显著。当种植密度为9万~ 45万株/hm²时,产量普遍提高到7700 kg/hm²以上,最高可达8654.33 kg/hm²。河套地区'张杂谷19号'播前灌溉1次足水、地膜覆盖及种植密度9万~45万株/hm²,可以实现水分高效利用和产量达到较高水平。     

Genome-wide detection of selective signatures in a Jinhua pig population

The aim of this study was to detect evidence for signatures of recent selection in the Jinhua pig genome. These results can be useful to better understand the regions under selection in Jinhua pigs and might shed some lights on groups of genes that control production traits. In the present study, we performed extended haplotype homozygosity(EHH) tests to identify significant core regions in 202 Jinhua pigs. A total of 26 161 core regions spanning 636.42 Mb were identified, which occupied approximately 28% of the genome across all autosomes, and 1 158 significant(P0.01) core haplotypes were selected. Genes in these regions were related to several economically important traits, including meat quality, reproduction, immune responses and exterior traits. A panel of genes including ssc-mir-365-2, KDM8, RABEP2, GSG1L, RHEB, RPH3AL and a signal pathway of PI3K-Akt were detected with the most extreme P-values. The findings in our study could draw a comparatively genome-wide map of selection signature in the pig genome, and also help to detect functional candidate genes under positive selection for further genetic and breeding research in Jinhua and other pigs.     

通过GbF3’H基因单独沉默及其与GbCHI和GbDFR基因共沉默研究其在海岛棉中抗枯萎病功能

【目的】通过沉默海岛棉GbF3’H基因及共沉默GbF3’H、GbCHI和Gb DFR基因,研究其在海岛棉抗枯萎病中的作用。【方法】以海岛棉抗病材料06-146为研究对象,GhCLA1基因为阳性对照,空载体为阴性对照,构建海岛棉TRV2-Gb F3’H沉默载体,协同课题组前期构建的TRV2-CHI和TRV2-DFR载体,利用病毒诱导的基因沉默技术(Virus-induced gene silencing,VIGS)分别进行Gb F3’H基因单独沉默以及GbF3’H、GbCHI和Gb DFR这3种基因共沉默试验。通过实时荧光定量聚合酶链式反应(Quantitative real time-polymerase chain reaction,q RT-PCR)分析各处理样品中基因沉默情况;设置室内接种枯萎病菌试验测定病情指数,分析各沉默材料对枯萎病的抗性差异。【结果】q RT-PCR结果显示,海岛棉GbF3’H基因沉默后其在海岛棉根、茎和叶中的表达量比空载体对照低,Gb F3’H、GbCHI和GbDFR这3种基因共沉默后其在海岛棉根、茎和叶中的表达量均比空载体对照低。病情指数调查结果显示,野生型<空载体对照相似文献   

种植密度对2个青稞品种抗倒伏及秸秆饲用特性的影响

种植密度是影响青稞抗倒伏和秸秆饲用特性的重要因子。以抗倒伏品种昆仑14号和倒伏品种门源亮蓝为试验材料,比较研究种植密度对这2个品种生长发育、抗倒伏特性和秸秆饲用特性的影响。结果表明,种植密度对2个品种的抗倒伏和秸秆饲用特性的影响存在差异。随着种植密度的增加,昆仑14号根长、根体积、根数和根干重先增后降,茎粗和壁厚依次下降;门源亮蓝根系和茎秆相关指标则随种植密度增大而下降。昆仑14号抗倒伏相关指标先增后降,但整个生育期未发生倒伏;门源亮蓝各指标均显著降低,诱发倒伏现象提前发生,致使倒伏率增大、倒伏程度加剧。昆仑14号茎秆中性洗涤纤维、酸性洗涤纤维、半纤维素、纤维素和木质素等化学成分含量随密度增加先增后降,门源亮蓝各成分含量呈下降趋势,相对饲喂价值随密度增加呈现增高的趋势。综合抗倒伏特性与秸秆饲用特性,昆仑14号最佳种植密度为375×104株hm~(-2),门源亮蓝粮饲兼用时适宜密度为300×104～375×104株hm~(-2)。     

不同土层复配方案对土壤水稳性团聚体及有机质的影响

为探究“治沟造地”重大工程项目（GLCP）中新增耕地快速改良的方法，达到营造良好土壤、提升新增耕地生产能力的目的，以延安羊圈沟流域的GLCP为背景，利用马兰黄土（ML）和红黏土（RC）对新造耕地0~30 cm土层进行复配试验。结果表明：当RC为20 cm、ML为10 cm（T3处理）时，复配层土壤孔隙度较对照处理增加了16.7%，容重下降了11.1%。与对照组相比，T3处理0~10、10~20、20~30 cm土层中>0.25 mm水稳性团聚体含量（W_0.25）显著增加，分别增加了11.8、12.3倍和27.9倍；T2（RC为25 cm、ML为5 cm）、T3处理更利于大团聚体的形成，较对照组除在0.25~0.5、0.5~1 mm的粒级有较大增加外，在2~5 mm和>5 mm粒径范围也有明显增加。0~20 cm土层中，即使在考虑对照组前期土壤有机质积累的情况下，T3处理的土壤有机质也与对照组相近甚至更高，且高于其他试验组，表现出更好的有机质赋存能力。T3处理的玉米生长状况较好，其地上生物量最高，较对照组提高了23.9%。研究表明，当复配土壤RC为20 cm、ML为10 cm时，土壤具有最佳的性状和生产力。试验初步证明土层复配是一种可行的快速营造高质量土壤的方法，该方法可为GLCP新造地的改良及类似土地整治工程的实施提供实践参考。     

影响北方白菜型冬油菜主要农艺性状变异的气象因子分析

为探究影响北方冬油菜农艺性状的气象因子，以新疆自治区阿勒泰、乌鲁木齐和喀什为研究试点，选择陇油6号、陇油7号、陇油8号、天油2号、天油4号、天油7号共6个抗寒性不同的白菜型冬油菜品种为研究材料，采用适定性分析法和相关性分析法，研究气象因子对冬油菜的株高、主花序角果数、单株角果数、角粒数等农艺性状的影响。结果显示：随纬度降低越冬率增加，农艺性状变劣，其中千粒重、株高和角粒数变异系数较小，分别为5.86%、6.23%和12.63%，单株角果数的变异系数较大，为28.25%；参试品种间，强抗寒品种陇油6号和陇油7号的农艺性状变异系数较小，弱抗寒品种天油2号等变异系数较大；农艺性状与越冬率显著正相关（P<0.05），角粒数与各种气象因子的相关性均达显著水平（P<0.05）；积雪天数、年降雨量和最大积雪厚度对农艺性状具有正效应，累积贡献率达到0.877，最冷月最低气温、地面极端低温、负积温和年均气温对农艺性状具有负效应，累积贡献率达到-0.871。因此，在北方寒区，选择强抗寒冬油菜品种有利于保持农艺性状稳定，获得较好产量与效益。     

灰关联熵在长江中游杂交油菜新品种选育中的应用

运用灰关联熵分析方法,对11个2017～2018年度长江中游区国家油菜新品种的农艺性状与单株产量的灰关联熵分析,结果表明,各性状与单株产量的熵关联度为：硫苷0.9793,菌核病发病率0.9808,菌核病发病指数0.9806,株高,0.9863,有效分枝数0.9734,单株有效角数0.9876,角粒数0.9848,千粒重0.9807,单株产量0.9894；熵关联顺序为：单株产量、单株有效角数、株高、角粒数、菌核病发病率、千粒重、菌核病发病指数、硫苷、有效分枝数,为长江中游区杂交油菜品种选育指明方向。     

Exogenous application of allelopathic water extracts helps improving tolerance against terminal heat and drought stresses in bread wheat (Triticum aestivum L. Em. Thell.)

The allelopathic water extracts (AWEs) may help improve the tolerance of crop plants against abiotic stresses owing to the presence of the secondary metabolites (i.e., allelochemicals). We conducted four independent experiments to evaluate the influence of exogenous application of AWEs (applied through seed priming or foliage spray) in improving the terminal heat and drought tolerance in bread wheat. In all the experiments, two wheat cultivars, viz. Mairaj‐2008 (drought and heat tolerant) and Faisalabad‐2008 (drought and heat sensitive), were raised in pots. Both wheat cultivars were raised under ambient conditions in the wire house till leaf boot stage (booting) by maintaining the pots at 75% water‐holding capacity (WHC). Then, managed drought and heat stresses were imposed by maintaining the pots at 35% WHC, or shifting the pots inside the glass canopies (at 75% WHC), at booting, anthesis and the grain filling stages. Drought stress reduced the grain yield of wheat by 39%–49%. Foliar application of AWEs improved the grain yield of wheat by 26%–31%, while seed priming with AWEs improved the grain yield by 18%–26%, respectively, than drought stress. Terminal heat stress reduced the grain yield of wheat by 38%. Seed priming with AWEs improved the grain yield by 21%–27%; while foliar application of AWEs improved the grain yield by 25%–29% than the heat stress treatment. In conclusion, the exogenous application of AWEs improved the stay green, accumulation of proline, soluble phenolics and glycine betaine, which helped to stabilize the biological membranes and improved the tolerance against terminal drought and heat stresses.     

Mapping the spatial distribution of shade provision of street trees in Boston using Google Street View panoramas

Street trees provide shade and increase human thermal comfort during hot summer. In this study, we investigated the spatial distribution of shade provision of street trees in Boston, Massachusetts. The sky view factor (SVF), which influences the solar radiation to the ground and affects human thermal comfort, was used to indicate the contribution of street trees on shade provision. Google Street View (GSV) panoramas were used to calculate the photographic method based SVF (SVF_P), with the consideration of all kinds of obstructions within street canyons. A building height model was used to calculate the simulation based SVF (SVFs), with consideration of obstruction of building blocks only. Considering the fact that street trees and building blocks are the two major obstructions of radiation within street canyons, therefore, the difference between the two SVF estimation results can be considered as the shade provision of street trees. The results show that street trees help to decrease the SVF by 24.61% in Boston, Massachusetts. The shading level varies spatially in the study area. Generally, the southwestern area has much higher shading level than the north and the east. We further explored the shading variation among different socioeconomic groups in the study area. Result shows that Hispanics tend to live in neighborhoods with lower shading level. This study can help to provide a reference for future urban greening projects for global climate change adaption.