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河北省夏玉米区宜机械收获玉米籽粒品种筛选

发表时间:2018-02-11  浏览量:600  下载量:100
全部作者: 李磊,MARASINI Mukti,张桂萍,蒋迁,吴瑞娟,张凤路
作者单位: 河北农业大学农学院,河北省作物生长调控重点实验室
摘 要: 为筛选河北省夏玉米区适宜机械收获籽粒的玉米品种,以14 个玉米杂交种为材料,于2016 年在河北农业大学教学科研基地进行筛选研究,系统测定了各杂交种生长发育的积温需求、灌浆脱水特性、茎秆力学特性及产量性状。结果表明,德美亚1 和垦玉10 达到生理成熟期所需的天数分别为83 d 和84 d,收获时的籽粒含水量分别为20%和20.5%,收获期立秆特性较好,抗倒伏能力强,适宜进行机械化籽粒收获。不同品种的玉米产量变动在6 000~11 000 kg/hm2 范围内。德美亚1 和垦玉10 的产量分别为7 298.42 kg/hm2 和6 088.57 kg/hm2,产量相对较低,应该适当增加密度,以提高产量。
关 键 词: 农艺学;玉米;机械收粒;籽粒灌浆;籽粒含水量;品种筛选
Title: Studies on variety selection suitable for kernel mechanical harvest in the summer maize area of Hebei province
Author: LI Lei, MARASINI Mukti, ZHANG Guiping, JIANG Qian, WU Ruijuan, ZHANG Fenglu
Organization: Key Laboratory of Crop Growth Regulation of Hebei, College of Agronomy, Hebei Agricultural University
Abstract: In order to select the maize varieties that suitable for kernel mechanical harvest in the summer maize area of Hebei province, 14 maize hybrids were used for selection in teaching and experimental station of Hebei Agricultural University in 2016. The accumulated temperature demand, the dehydration characteristic during grain filling, the mechanical property of the stem and the yield characters of the maize varieties were systematically determined. The results showed that it required 83 d and 84 d respectively when Demeiya 1 and Kenyu 10 achieved physiological maturity. And the grain moisture content at harvest was 20% and 20.5%, respectively. Stems standing characteristics were better and lodging resistance were stronger, and they were suitable for kernel mechanical harvest. The yields of different varieties of maize fluctuated at 6 000-11 000 kg/hm2. The yields of Demeiya 1 and Kenyu 10 were 7 298.42 kg/hm2 and 6 088.57 kg/hm2, respectively, and their yields were relatively low. Their density should be increased appropriately to raise the yield production.
Key words: agronomy; maize; kernel mechanical harvesting; grain filling; grain moisture content; variety selection
发表期数: 2018年2月第3期
引用格式: 李磊,MARASINI Mukti,张桂萍,等. 河北省夏玉米区宜机械收获玉米籽粒品种筛选[J]. 中国科技论文在线精品论文,2018,11(3):228-235.
 
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