摘要
以中早熟棉花品种衡棉4号为试验材料，在等行距0.8m 条件下，设置3个种植密度水平（3.75万、5.25万和6.75万株/hm2），研究了不同种植密度对棉花成铃时空分布及产量性状的影响。结果表明：不同的种植密度下，棉花成铃纵向均以中下部1～10节果枝为主体，横向均以1～2节果节为主体。随着种植密度的增大，衡棉4号第1果枝着生位置增高，果枝上冲，株型变得紧凑，结铃也趋于集中。其中，1～5节果枝的成铃数占总铃数的比例呈增加趋势，而6～10节果枝的成铃数占总铃数的比例则呈降低趋势，11节及以上果枝的成铃数占总铃数的比例表现为先降低后升高趋势；1～2节果节的成铃数占总成铃数的比例逐渐增大，而3～4节果节和5节及以上果节的成铃数占总铃数的比例则逐渐降低；从成铃时间上看，伏前桃和伏桃成铃数逐渐增多。当种植密度为6.75万株/hm2时，衡棉4号籽棉产量、皮棉产量和霜前花率均最高，分别达到了3310.61 kg/hm2、1271.90 kg/hm2和94.94％。
With middle-early mature cotton Hengmian No.4 as tested material , three planting density levels of 3.75 ×104, 5.25 ×104, 6.75 ×104 plants/hm2 were set under equal row space 0.8 m condition and effects of different planting densities on bolls spatial and temporal distribution and yield were studied.The results showed that the 1-10 fruit branches and the 1-2 fruit nodes were the key positions for bolls setting of cotton under different planting densities.With the increasing of planting density , the growth position of first fruit branch was increased and fruit branches were up, plant type become compact and bolls also tended to concentration.Proportion of bolls number on the 1-5 fruit branches in total bolls number increased , while the trend was contrary on the 6-10 fruit branches.Proportion of bolls number on more than 11fruit branches in total bolls number first decreased and then increased.Proportion of bolls number on the 1 -2 fruit nodes in total bolls number increased gradually while the trend was contrary on the 3-4 and more than 5 fruit nodes.According to temporal distribution of boll setting , early summer bolls number and summer bolls number increased with the increasing of planting density.When the planting density was 6.75 ×104 plants/hm2,the seed yield , lint yield and flowering rate before frost of Hengmian No.4 were the highest and reached 3 310.61 kg/hm2, 1 271.90 kg/hm2 and 94.94% respectively.
出处
《河北农业科学》
2013年第5期1-5,共5页
Journal of Hebei Agricultural Sciences
基金
河北省科技厅成果转化项目(07820113D)
关键词
中早熟棉
种植密度
成铃
时空分布
产量
Middle-early mature cotton
Plantingdensity
Boll setting
Spatial and temporal distribu-.tion
Yield
