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作 者:赵银月[1] 周林红 耿智德[1] 詹和明[1] 王铁军[1]
机构地区:[1]云南省农业科学院粮食作物研究所,云南昆明650205 [2]曲靖麒麟区农业技术推广中心,云南曲靖655000
出 处:《安徽农业科学》2014年第7期1946-1948,1950,共4页Journal of Anhui Agricultural Sciences
基 金:国家现代农业产业技术体系建设专项(CARS-04-CES29)
摘 要:[目的]明确云南夏播大豆[Glycine max(L.)Merr.]产区的最适宜播期,并从中筛选出适宜不同时期救灾补种的品种及相应的配套栽培技术。[方法]采用引进和本地的6个大豆品种(冀豆17来自河北省农林科学院,徐豆18和徐豆14来自江苏徐淮地区徐州农业科学研究所,中黄13来自中国农业科学院作物科学研究所,滇豆4号和滇豆7号来自云南省农业科学院粮食作物研究所)进行分期播种试验(播期分别为5月21、5月31、6月10、6月20日),研究在云南夏播气候条件下,播期对参试品种生育期、农艺性状、产量性状和品质性状的影响。[结果]云南夏播大豆产区最佳播期是5月21日左右。随着播期的推后,参试品种的生育期逐渐缩短;株高、主茎节数和节间长逐渐降低;产量构成因子单株荚数、单株粒数、百粒重和产量下降趋势明显;蛋白质含量逐渐下降,脂肪含量反之渐增,蛋脂总量逐渐下降;品种间的差异较大。[结论]该研究可为降低自然灾害对大豆生产的影响提供技术支撑。[Objective ] The ai-m was to confirm on the suitable sowing date of summer soybean of Yunnan, and screen the suitable disaster relief and reseeding cultivars in different period and the corresponding cultivation techniques. [ Method ] Six introduced and local soybean cultivars (Jidou 17 from Hebei Academy of Agriculture and Forestry Sciences, Xudou 18 and Xudou 14 both from Xuzhou Research Institute of Agricultur- al Sciences, Xuhuai Region, Zhonghuang 13 from Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Diandou No. 4 and Diandou No. 7 both from Institute of Food Crops, Yunnan Academy of Agricultural Sciences) were chose to carry out the sowing date test to study the effects of sowing date on their growth period, agronomic traits, yield trats and quality traits under summer conditions of Yunnan, and the sowing date was May 21,31 and June 10, 20, resp. [ Result ] The optimum sowing date for summer soybean of Yunnan was around May 21. With the delay of sowing date, the growth period of the tested cuhivars shortened gradually; plant height, branch numbers and internode length decreased; yield and its components, such as pod number per plant, seed number per plant and 100-seed weight and yield, declined evidently; protein content declined gradually, while oil content increased, the total content of protein and oil declined gradually; there was obvious difference among cultivars. [ Conclusion] The study provides a technical support for reducing the effects of natural disasters on soybean production.
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