种芦笋可选这几个品种

来源 :农家参谋 | 被引量 : 0次 | 上传用户:liust4258
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
玛丽·华盛顿 早熟、丰产、抗锈病,生长势强,嫩茎白色粗大,粗细均匀,笋头圆净,鳞片紧密,嫩茎见光后由白变绿,质地较粗,适应性较强。适宜加工制成罐头。 玛丽·华盛顿500号 中早熟、丰产,嫩茎圆柱形且粗细均匀,茎顶抱合紧密,入土部分白色,出土后变为绿色,耐热、耐旱、怕涝.抗锈病能力不如玛丽·华盛顿。 Mary Washington precocious, high yield, rust resistance, strong growth, young white stem thick, uniform thickness, shoot the first round of net, scales close, after the tender stem to see light from white to green, coarse texture, strong adaptability. Suitable for processing canned. Mary Washington No. 500 is a medium-early-maturing, high-yielding stem that has a cylindrical shape with uniform stems and thick cotyledons, partially earthed white, greenish green when it emerges, heat, drought and waterlogging.
其他文献
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.
  Compared with ordinary regression models, the computational cost for parame ters estimation in general measurement error models is often much more expensive
会议
坊间曾盛传,蒋介石的身世问题尚是一个悬而未决的历史疑案。有人说他出生于河南许昌河街(旧名灵沟)郑姓一贫困农隶,他的“胞兄”郑发在上世纪三四十年代曾一赴重庆,三赴南京,
左小蕾是银河证券的首席经济学家。在市场判断与分析这个以思维缜密见长的领域,左小蕾凭借“巾帼不让须眉”的气概,站在了足够的高度,她的观点不断在市场上引起震动。进入左
  Gene microarray data are used in a large variety of applications, including phar maceutical and clinical research.By comparing gene expression in normal and
会议
  Nowadays statisticians are facing more and more complex data structures with many variables and the analysis of which requires good model building, variable
会议
  We first review the role of sample eigenvalues in some classical methods of mul tivariate statistics, such as principal components and canonical correlation
会议
对果树适时喷施叶面肥,是壮树、抗病、高产的有效途径,且方法简单易行,用肥经济,效果明显。据笔者近年来对苹果、葡萄等果树进行叶面喷肥的种植实践,一般可提高产量15%左右,
  Microarrays have been widely used for medical studies to detect novel disease related genes.They enable us to study differential gene expression at a genomi
会议
  The notion of sublinear expectation (also called upper expectation, coherent pro vision in statistics) of which the well-known relation (E)[X] + (E)[Y] =(E)
会议