专家称:河南元旦和春节猪肉价格可能下跌

来源 :农家参谋 | 被引量 : 0次 | 上传用户:ivan107
下载到本地 , 更方便阅读
声明 : 本文档内容版权归属内容提供方 , 如果您对本文有版权争议 , 可与客服联系进行内容授权或下架
论文部分内容阅读
最近,业内有这样一个传闻:猪肉价格报复性反弹就在年底。对此,业内人士称,会涨,但不会大涨。不过,价虽涨,成本依然偏高,盈利空间有限。据河南省畜牧局网站显示,2008年以来,猪肉价格最低点出现在2009年的四五月份,徘徊在15元/千克;最高点出现在2011年的夏季,在30元/千克上下。不过,从这以后,猪肉价格再没有低过每千克20元,但也未高过27元。回顾今年的猪肉价格,历史性地从新年伊始就开始下跌,4月份创下2010年7月份 Recently, there is a rumor in the industry that the retaliatory rally of pork prices is at the end of the year. In this regard, the industry said that will rise, but not soared. However, the price is up, the cost is still high, and the profit margin is limited. According to the Henan Animal Husbandry Bureau website shows that since 2008, the lowest point of pork prices in April and May of 2009, hovering at 15 yuan / kg; the highest point in the summer of 2011, at 30 yuan / kg up and down. However, since then, pork prices have not dropped below 20 yuan per kilogram, but not more than 27 yuan. Recalling this year’s pork prices, historically began to decline from the beginning of the new year, set in April 2010 July
其他文献
Composite materials (AZ-x) were prepared by mixing the nanosized HY zeolite and γ-Al2O3 using the sol-gel mixing method and were employed as the support for Ni
请下载后查看,本文暂不支持在线获取查看简介。 Please download to view, this article does not support online access to view profile.
期刊
仔猪水肿病是仔猪的一种常发病和多发病,一年四季均可发生,但由于气候、饲养等因素的影响,尤以冬春季多发,多呈地方性流行,尤以断奶后1~2周龄、生长快、膘情好的仔猪发病多,致
The limited labeled sample data in the field of advanced security threats de-tection seriously restricts the effective de-velopment of research work. Leing the
甜菜在我国糖料作物中占有很重要的地位.在构建新种质资源工作中,通过诱变技术进行突变体库的构建已经成为重要有效的途径.本研究描述了构建甜菜突变体文库的目的和意义,并综
In order to improve the sensitivity of the Compass B1C signal acquisition for the receiver, the principle of constant false alarm rate (CFAR) is applied for the
该病是初生羔羊的一种急性毒血症,以剧烈腹泻和小肠发生溃疡为特征,主要危害7日龄以内的羔羊,常致羔羊大批死亡.在羔羊体弱、哺乳饥饱不均、气候寒冷、特别是大风雨雪后,羔羊
该文从挂篮荷载计算、施工流程、支座及临时固结施工、挂篮安装及试验、合拢段施工、模板制作安装、钢筋安装、混凝土的浇筑及养生、测量监控等方面人手,介绍了S226海滨大桥
期刊
小獭兔身体娇嫩,对外界条件反应敏感,具有发病急、死亡快、治疗及时痊愈快的特点.由于獭兔发病多在夜间,因此,在早晨喂兔时进行逐笼、逐窝观察,最易识别出可疑病兔来,具体可
目的卷积神经网络方法可以提取到图像的深层次信息特征,在脑部磁共振图像(MRI)分割领域展现出优秀的性能。但大部分深度学习方法都存在参数量大,边缘分割不准确的问题。为克服上述问题,本文提出一种多通道融合可分离卷积神经网络(MFSCNN)模型分割脑图像。方法首先,在训练集中增加待分割脑结构及其边缘像素点的权重,强制使网络学习如何分割脑结构边缘部分,从而提升整体脑结构分割的准确率。其次,引入残差单元,以