牛体尺影响因素及其应用

牛体尺指标在一定程度上可以评价品种优劣及生产性能的高低。本文对影响牛体尺的因素做一综述,并从体尺与估测体重、屠宰性能、种公牛繁殖性能、奶牛产奶性能4个方面概述牛体尺应用情况,以期为今后生产中评估牛的肉用经济价值、群遗传选育、改善群体繁殖性能和提高生产性能提供一定的借鉴和指导。     

基于冗余分析的高寒草原土壤与草地退化关系

在高寒草原退化草地设置研究样地,观测植物群落特征、采集土壤样品、分析土壤物理化学性质,依据数量生态学基本原理,探讨高寒草原退化草地与土壤因子间关系。结果表明:不同退化程度样地沿冗余分析排序图第一排序轴分布,第一排序轴反映草地退化程度的变化;草地植物群落中与第一排序轴负相关且按相关程度大小排序的指标为盖度>地上生物量>地下生物量;第一、第二排序轴能够解释97.1%的土壤因子与草地退化关系;土壤沙砾、p H与第一排序轴正相关,土壤有机碳、土壤含水量、容重、全氮、有效氮与第一排序轴负相关;第一排序轴及所有排序轴所反映的土壤因子均与草地退化之间呈极显著相关关系(P<0.01);不同土壤因子与草地退化之间相关程度不同,土壤有机碳(r=-0.890)、土壤含水量(r=-0.864)、容重(r=-0.847)、全氮(r=-0.836)、有效氮(r=-0.821)等与高寒草原退化相关程度更高且相关关系极显著(P<0.01)。利用退化草地群落特征和土壤因子数据矩阵进行冗余分析能够较好地综合反映土壤因子与草地退化之间的关系及相关程度,土壤有机碳、土壤含水量、容重、全氮、有效氮是反映高寒草原退化的重要土壤指标。     

7个红掌品种产生愈伤组织的影响因素

采用正交试验,探讨在不同光照条件下MS大量元素、6-BA、2,4-D、NAA对7个红掌品种愈伤诱导的影响.结果表明:散射光照对红掌愈伤诱导有促进作用;时红掌愈伤诱导影响排序为:Ms大量元素>NAA>6-BA>2,4-D,大量元素的影响效果最明显,6-BA和2,4-D的影响效果差异较小.     

民族旅游地民居客栈经营的关键因素研究——以世界遗产地丽江古城为例

旅游体验满意是衡量旅游者忠诚与重顾的关键因素。旅游者对以世界文化遗产地丽江古城的民居客栈体验的网络评价，主要涉及了“家”、整洁、舒适、环境、房间陈设、位置等六个方面，这些都是影响民居客栈成功经营的关键因素。但是就旅游者体验来说，这些因素明显缺乏了地方文化的展现与创新。基于此，文章从酒店化与专业化、家庭化与生活化、文化化与乡野化的视域上重新设计了民居客栈经营发展的创新模式，凸显出民居客栈产品与酒店产品的差异性，创建一种独具地方特色的民居品牌，助推民居经营的永续发展。     

密度与环境因子对蒙古黄芪育苗影响研究

为了明确育苗时密度与环境因子对蒙古黄芪生长特征影响,本试验以蒙古黄芪为研究对象,通过单因素田间随机区组试验,测定蒙古黄芪株高、茎粗、根粗和根长4个指标。结果表明,密度对蒙古黄芪影响最大,其次是湿度,最后是光照和电导率。密度与蒙古黄芪株高、茎粗、根粗呈现负相关性,与根长呈正相关性(P<0.05),密度为400株/m ²时,株高、茎粗及根粗最大,密度为1000株/m ²时根长最大。     

农户过量施用化肥行为的影响因素分析——以新疆棉花种植户为例

过度施用化肥带来的负外部性使棉区土壤面临着棉花增产和保护生态环境的双重挑战。本文在棉花生产的决策主体农户尺度上,利用对新疆重点植棉地区实地问卷调查所得数据,定量化研究了新疆棉农过度施用化肥程度,并通过经济计量模型分析了导致农户过量施用化肥的主要因素。研究结果表明,新疆棉花种植农户的化肥施用量(折纯量)平均达到610.20 kg·hm~(-2),过量施用率占到实际施用量的59.6%。导致农户过量施用化肥的主要因素是缺乏科学施肥培训和避免收入损失的盲目性。研究结果在农户行为学方面做了有益的科学探讨,并为科学引导农户合理施肥提供了科学依据。     

农村土地价值的影响因素分析

分析了农村土地价值的影响因素,并从提高土地收入保障角度寻求提高土地价值的途径和方法。结果表明：农村土地的价值不仅体现在土地产生的直接收益,还表现在土地为农民带来的间接收益,包括土地的交换价值和潜在的发展价值。通过产权制度改革、土地经营形式多元化、种植结构调整、农民组织的重构来改变土地利用方式可以增加土地价值,使土地从生存保障发展为投资保障,从而提高农村土地的价值。     

Detecting interactive effects of N fertilization and heat stress on maize productivity by remote sensing techniques

The objective of this study was to compare the performance of two different remotely sensed techniques in detecting the effects of terminal heat stress and N fertilization on final maize aerial biomass (AB) and grain yield (GY). The study was conducted under field conditions for two consecutive growing seasons. Six N treatments combining three doses [0, 100, 200 Kg N ha⁻¹] and two timings [at V4 and at 15 days before silking] were applied. Within each N treatment three heat treatments were applied (pre-flowering, post-flowering and the control treatment at ambient air temperature). Remote sensing measurements were taken with a multispectral band camera to measure the normalized difference vegetation index (NDVI) and a digital Red/Green/Blue (RGB) camera to measure the normalized green red difference index (NGRDI). Both indices failed to predict the GY of pre-flowering heat-treated plants due to grain set establishment problems that could not be detected by vegetation indices which are designed to capture differences in green canopy area. In contrast, both the NGRDI and the NDVI correlated positively with GY and AB in the control heat treatment and to a lesser extent in the post-flowering heat treatment. Under the control heat treatment, the NGRDI exhibited higher correlations with AB and GY than the NDVI across the N fertilization treatments. Since the NGRDI is formulated based only on the reflectance in the visible regions (VIS) of the spectrum (Green and Red) without dependence on the near infrared regions (NIR), it performs better than the NDVI. This is because it overcame the reported saturation patterns at high leaf area index and was more efficient at capturing even small differences in leaf colour (chlorophyll content) due to the different applied N treatments. Also, the NGRDI seemed to be a more seasonally independent parameter than the NDVI, which is more affected by temporal variability within the field, and thus the NGRDI predicted AB and GY better than the NDVI when combining the data of the two growing seasons.