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71.
72.
农业机械在农业生产中必须合理使用,才能发挥出"高效、优质、低耗、安全"的良好效果。合理编组、正确选择速度和提高时间利用率是提高农业机械生产效率的3个重要途径。 相似文献
73.
滇中地区森林火险等级预报方法的研究 总被引:9,自引:0,他引:9
经引起滇中地区森林火灾的主要细小可燃物的含水率及初始蔓延速度的大量试验数据为基础,结合大量林火历史资料,气象历史资料统计分析,找出规律,在对森林火险等级进行实测的基础上,建立数学模型和预报方法。经验证及对预报效果分析证明,本预报方法符合客观实际,是一种符合科学规律、简易、实用的预报方法,同时对引起滇中地区特大森林火灾的大气环流形势及物理量的变化作了分析,掌握了有关规律,为该地区的特大森林火险预报提 相似文献
74.
75.
FoRESTFUELCoMBUSTIoNVALUECombustionvalueisanimportantparameterofmaterialburningcharacteri-stics.Itmeansthattheheatreleasesfromtheunitofmaterialcompleteburningtocooldownthestartingtemperatureofreactionmaterals(l).Undertheconditionofthesamepressureandenoughoxygeninthecombustor,materialscombustionva1ueisrelatedtotheinnerenergyofthematerialstatefromthebeginningtotheendduringreaction.Thecombustionvaluesuchasmeta1,carbon,hydrogencanbemeasuredaccurate1y.Toforestfuels,theirenergycan'tbethesam… 相似文献
76.
Leslie矩阵模型在油松毛虫种群动态分析中的应用研究 总被引:4,自引:0,他引:4
油松毛虫(Dendrolimus tabulaeformis)是我国华北地区油松林的重要害虫之一。其分布面积广、发生频繁、危害严重。有人曾对油松毛虫种群的生物学特性、防治以及种群动态的研究作过有关的报道,本文则通过对油松毛虫的数量变动进行跟踪调查,并用Leslie矩阵模型对其种群动态进行了模拟,这对害虫的测报具有重要的实践意义。一、材料与方法 (一)标准地概况 1984—1986年与1988—1989年我们分别在密云县五座楼场和石墙沟村选择了5块油松纯林作为标准地,概况列在表1中: 相似文献
77.
厦门城市森林马尾松宽带更新改造技术研究 总被引:1,自引:0,他引:1
厦门城市森林中马尾松劣质林分比例大,采用不同改造方式试验表明:宽带采伐更新改造效果较好,阔叶树种造林成活率高,幼林生长比较快,适宜阳性、强阳性和中性偏阳树种。且宽带更新改造技术较简单,可操作性强,便于推广应用。 相似文献
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The embedment tests of laminated veneer lumber (LVL) with two moduli of elasticity (MOE; 7.8 GPa and 9.8GPa), parallel strand lumber (PSL), and laminated strand lumber (LSL) were conducted in accordance with ASTM-D 5764. The load-embedment relation for each of these engineered wood products (EWPs) was established. The directional characteristics of bearing strength (e), initial stiffness (k
e), and effective elastic foundation depth were obtained from the tested results. The effective elastic foundation depth (=E/k
e,E = MOE), based on the theory of a beam on elastic foundation, was obtained from thek
e and MOE. An of 90° (perpendicular to the grain) was calculated by dividingE
90 [MOE of 90° from the compression test, but MOE of 0° (E
0), parallel to the grain, obtained from the bending test] byk
e90, the initial stiffness of 90°. This study aimed to obtain the bearing characteristics of each EWP, taking into consideration their anisotropic structures, for estimating the fastening strength of a dowel-type fastener. The relations between the bearing coefficients (
e,k
e,) on the loading direction and dowel diameter were established from the load-embedment curves. Based on the results of the embedment test, tested EWPs showed different tendencies in all directions from wood and glued laminated timber.Part of this study was presented at the 49th Annual Meeting of the Japan Wood Research Society, Tokyo, April 1999 相似文献
80.
We studied four formulae used to predict the accuracy of genomic selection prior to genotyping. The objectives of our study were to investigate the impact of the parameters of each formula on the values of accuracy calculated using these formulae, and to check whether the accuracies reported in the literature are in agreement with the formulae. First, we computed the marginal distribution of accuracy (by integration) for each parameter of all four formulae: heritability h2, reference population size T, number of markers M and number of effective segments in the genome Me. Then, we collected 145 accuracies and corresponding parameters reported in 13 publications on genomic selection (mainly in dairy cattle), and performed analysis of variance to test the differences between observed and predicted accuracy with effects of formulae and parameters. The variation of accuracy for different values of each parameter indicated that two parameters, T and Me, had a significant impact and that considerable differences existed between the formulae (mean accuracies differed by up to 0.20 point). The results of our meta‐analysis showed a big formula effect on the accuracies predicted using each formula, and also a significant effect of the value obtained for Me calculated from Ne (effective population size). Each formula can therefore be demonstrated to be optimal depending on the assumption used for Me. In conclusion, no rules can be applied to predict the reliability of genomic selection using these formulae. 相似文献