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海河平原区引进紫花苜蓿品种的生产性能及适应性评价 被引量:10

Production Performance and Adaptation Evaluation of Introduced Alfalfa In Haihe River Plain Area
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摘要 在海河平原区,相对雨养条件下对22个紫花苜蓿品种从草产量、利用年限、饲用品质、适应性方面进行了8年的比较试验。结果表明:保定苜蓿和中苜1号干草产量较高、返青期较早、适应性较强、持续生产能力强,更适合海河平原区种植。全年刈割4茬前提下,前2茬占全年产量的60%左右,是产量形成的关键。随着生长年限的增加,干草产量逐年降低,第1~3年龄干草产量占8年干草总产量的47%,第6~8年龄(3年)干草产量仅为8年干草总产量的27%,因此生产利用年限以3~5年为宜。研究比较苜蓿品种间生产性能差异,试验进行3年即可作出科学评价。 The ctnnparison experiments were conducted for 22 alfalfa varieties under relative rainfall -fed conditions last 8 years in Haihe river plain area, its major research contents included grass yield and utilization years and forage quality and adaptability. The resuh showed, Baoding alfalfa and Zhongmu 1 were best suitable variaties in haihe river plain area, their characteristics included higher dry grass yield and earlier regtxwing period and stronger adaptability and stronger last increase production ability. Under cutting 4 times yearly, I st - 2nd cutting accot, nted for 60% of total production and was the key to yield formation. With the increasing of growing year, the dlw grass yield were decreased year by year, the total dry grass yield from the 1st to the 3rd year were 47% of the 8 years total dry. yield, but 6tll Bib years accounted for only 27% , therefore, the best use period were 3 - 5 years. If eomparing the production differences between alfalfa varieties, it takes only 3 years to obtain research evaluation.
作者 赵海明 李源 武瑞鑫 刘贵波 翟兰菊 游永亮 王洪举 王桂峰 ZHAO Hai-mingl LI Yuanl WU Rui-xin LIU Gui-bol ZHAI Lan-jul YOU Yong- liang WANG Hong-ju WANG Gui -feng(Dl3,1and Farming Institute of Hebei Academy of Agricultural and torestry Sciences, Hengshui 053000, China Jingxian County agriculture and Forestry Bureau of Hebei, Jingxian, 053500, China Agriculture and Animal Husbandry Bureau of Hengshui, Hengshui 053000, China)
出处 《草学》 2017年第5期7-15,共9页 Journal of Grassland and Forage Science
基金 行业科研专项(201403048-6) 河北省科技支撑计划(14226335D) 现代农业产业技术体系建设专项资金(CARS-35-24)资助
关键词 紫花苜蓿 草产量 饲用品质 利用年限 适应性 Alfalfa grass yield forage quality utilization years adaptability
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