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Dynamics of weed biomass on yield and yield component stability of maize under various weed management strategies

机译:不同杂草治理策略下杂草生物量对玉米产量和产量构成稳定性的影响

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Weed is a very significant enemy of crop production. Its density, diversity and the interaction complexes on the yield and yield component of maize cv “Quality protein” were investigated in the present study. The experiment was laid out in randomized complete block design (RCBD) containing five weed management strategies and a weedy check as treatments in 2015 and 2016. Data were collected on weed density, yield and yield components of maize for the two years. For the years and the treatments, a mixed model factorial in RCBD was employed for the analysis of variance of the data. Significant (P≤0.05) variation exists among the two years; the six treatments and their interaction for the grain yield and its components. The use of Pendimenthalin (330 EC) at 3.0 kg a.i.ha-1 supported the highest grain yield (2.4 tons ha-1); hoe weeding and mulching was next with significantly (P≤0.05) lower grain yield of 2.2 tons ha-1. The weedy check had the lowest grain yield of 1.2 tons/ha. An average yield loss of 42% was obtained by comparing the weed control methods with each of the weedy check. By Shukla variance estimate, maize-soybean intercrop gave the most stable grain yield for the two years. Year 2016 significantly (P≤0.05) favoured grain yield, its components and weed density. The proportion of weed categories in the study was: Broadleaves (52.38%), grasses (33.33%) and sedges (14.28%). Broad leaves and grasses density measured at interval displayed a significant linear trend. The sixth week after planting was most critical for grain yield determination in the tested maize cultivar.
机译:杂草是作物生产的重要敌人。研究了玉米cv“优质蛋白”的密度,多样性以及与产量和产量成分的相互作用复合体。该实验采用随机完整区组设计(RCBD)进行设计,其中包含5种杂草处理策略和2015年和2016年的杂草检查处理。收集了这两年玉米的杂草密度,产量和产量组成数据。对于这些年和处理方式,RCBD中的混合模型阶乘被用于分析数据的方差。两年之间存在显着(P≤0.05)的差异;六种处理方法及其对谷物产量及其组成的相互作用。使用3.0 kg a.i.ha-1的Pendimenthalin(330 EC)可获得最高的谷物产量(2.4吨ha-1);其次是草除草和覆盖,其谷物单产低至2.2吨ha-1(P≤0.05)。杂草检查的最低谷物产量为1.2吨/公顷。通过将杂草控制方法与每种杂草检查方法进行比较,得出平均产量损失为42%。根据Shukla方差估算,玉米-大豆间作使两年的谷物产量最稳定。 2016年显着(P≤0.05)有利于谷物产量,其组成和杂草密度。该研究中杂草类别的比例为:阔叶(52.38%),草(33.33%)和莎草(14.28%)。每隔一段时间测得的阔叶草密度显示出明显的线性趋势。播种后第六周对于受试玉米品种的籽粒产量确定至关重要。

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