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Analysis of the yield of two groups of tropical maize cultivars. Varietal characteristics, yield potentials, optimum densities.

机译:两组热带玉米品种的产量分析。品种特征,增产潜力,最佳密度。

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摘要

In order to analyse the results from an on-farm survey in Burkina Faso, a model for grain yield analysis was calibrated using data from the survey. Yield was broken down into four components, each representing one phase of the growth cycle. In the model, the maximum value for each component (M) is defined by the cultivar in the region of study, and from the values that the previous components have reached. These values establish the competition level for resources that a growing component undergoes. Competition begins beyond a critical value (L) of plant density (NP). An upper boundary line is defined on the basis of NP for each component. A maximum grain yield (YM/NP) is evaluated for each NP value. The greatest maximum yield (YGMAX) is considered as a varietal characteristic under the given conditions. The model was applied to two varietal groups (local and selected varieties). It indicated that selected varieties had higher YGMAX, mainly due to different competition critical limit values (L) and not to varietal maxima (M). For each group of varieties, the later in the cycle a component is determined, the lower the competition limit YM/NP increases with NP up to a first competition limit. Subsequently, adjustments occur between successive components, thereby stabilizing YM/NP (=YGMAX) across levels of NP. Finally, when the fraction of fertile plants is limited by NP, YM/NP decreases against NP. The lowest NP enabling YGMAX, while providing the greatest potential for adjusting yield components, gives the best yields. This hypothesis was verified under field conditions. The range of population densities associated with YGMAX and greatest potential for adjustment were also the most frequently observed on farms, indicating that farmers were probably familiar with the effects of population density on yield potential.
机译:为了分析布基纳法索农场调查的结果,使用调查数据对谷物产量分析模型进行了校准。产量分为四个部分,每个部分代表生长周期的一个阶段。在模型中,每种成分的最大值(M)由研究区域中的栽培品种定义,并根据先前的成分已达到的值来定义。这些值确定了不断增长的组件所经历的资源的竞争水平。竞争开始超出植物密度(NP)的临界值(L)。上边界线是根据每个组件的NP定义的。对于每个NP值,评估最大谷物产量(YM / NP)。在给定条件下,最大最大产量(YGMAX)被视为品种特征。该模型应用于两个品种组(本地品种和选定品种)。这表明选定的品种具有较高的YGMAX,这主要是由于不同的竞争临界极限值(L)而非最大品种(M)。对于每个品种组,在循环中确定组件的时间越晚,竞争极限越低,YM / NP随NP上升到第一个竞争极限而增加。随后,在连续的分量之间进行调整,从而跨NP级别稳定YM / NP(= YGMAX)。最后,当受NP限制的可育植物比例时,YM / NP相对于NP降低。最低的NP启用YGMAX,同时提供最大的潜力来调整良率分量,同时提供了最佳良率。该假设在现场条件下得到了验证。与YGMAX相关的人口密度范围和最大的调整潜力也是在农场上最常观察到的现象,这表明农民可能熟悉人口密度对单产潜力的影响。

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