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山西雁门关生态区甜高粱高产优质栽培模式初探 被引量:10

Preliminary Study on Cultivation Model of Sweet Sorghum with High Yield and Quality in Yanmenguan Eco-region of Shanxi Province
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摘要 为了筛选在雁门关地区最适宜种植的甜高粱品种以及配套的高产优质栽培技术,试验采用方差分析和灰色关联度分析法,综合评价大力士、晋甜杂2号、晋甜杂3号3个甜高粱品种在不同密度和肥料条件下的产量和饲草品质。结果表明,3个甜高粱品种均在密度11.25万株/hm^2、复合肥750 kg/hm^2、尿素150 kg/hm^2栽培模式下,农艺性状最优;晋甜杂3号在密度11.25万株/hm^2、复合肥1125 kg/hm^2、尿素225 kg/hm^2和密度11.25万株/hm^2、复合肥750 kg/hm^2、尿素150 kg/hm^2栽培模式下品质均较佳。综合分析,鉴选出适宜在雁门关生态区种植的甜高粱品种为晋甜杂3号,密度为11.25万株/hm^2,施肥量为复合肥750 kg/hm^2、尿素150 kg/hm^2,其产量及品质综合效益值达到最优。 To select the most suitable sweet sorghum varieties in Yanmenguan area and the corresponding high-yield and high-quality cultivation techniques,variance analysis and grey correlation analysis were used to comprehensively evaluate the yield and forage quality of three sweet sorghum varieties(Dalishi,Jintianza 2 and Jintianza 3)under different densities and fertilizer conditions.The results showed that the agronomic characters of 3 sweet sorghum varieties were all the best under the cultivation mode of 112500 plants/hm^2,750 kg/hm^2 compound fertilizer,150 kg/hm^2 urea.The quality of Jintianza 3 was better under the cultivation mode of 112500 plants/hm^2,1125 kg/hm^2 compound fertilizer,225 kg/hm^2 urea and 112500 plants/hm^2,750 kg/hm^2 compound fertilizer and 150 kg/hm^2 urea.Finally,a grey relevance degree analysis was conducted,and it could be concluded that the sweet sorghum cultivar Jintianza 3 was suitable for planting in Yanmenguan ecological area.The comprehensive benefit value of yield and forage quality of Jintianza 3 was the best under the cultivation model of 112500 plants/hm^2,750 kg/hm^2 compound fertilizer and 150 kg/hm^2 urea.
作者 邵荣峰 张阳 赵威军 张伟 王官 刘鹏 SHAO Rongfeng;ZHANG Yang;ZHAO Weijun;ZHANG Wei;WANG Guan;LIU Peng(Institute of Sorghum,Shanxi Academy of Agricultural Sciences,Jinzhong 030600,China)
出处 《山西农业科学》 2019年第12期2110-2114,2167,共6页 Journal of Shanxi Agricultural Sciences
基金 山西省农业科学院农业科技创新课题(YCX2017D2111)
关键词 甜高粱 农艺性状 饲草品质 灰色关联度分析 sweet sorghum agronomic trait forage quality grey relevance degree analysis
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