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The impact of plant population density on crop yield and response to selection in maize.

机译:植物种群密度对玉米产量和玉米选择反应的影响。

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Plant population density represents the agronomic management factor in maize (Zea mays L.) that has changed considerably during the past six decades. The objective of this paper is to compare and interpret selection data from different eras in maize to answer the following questions: (1) how stand uniformity relates to yield per unit area, (2) how competition and density affect response to selection, and (3) is the development of density-independent hybrids in maize feasible. Two old double cross hybrids (DeKalb 29 and Pride 5) and two newer single cross hybrids (Pioneer 3851 and Pioneer 3902) were utilized across two years and eight different plant densities. The data demonstrated that plant population density affects crop yield and response to selection. Plant density affects crop yield indirectly, through the increase in the level of competition. Competition, i.e., the plant-to-plant interference with the equal sharing of growth resources increases almost linearly with the increase of plant density. Competition is measured by the coefficient of variation (CV) of single-plant yields. To maximize crop yield, it is essential to optimize stand uniformity by minimizing the plant-to-plant variation, i.e., by minimizing competition. In addition, high plant density was found to reduce response to selection because (1) it increases the CV of single-plant yields, (2) it reduces the single plant yield differences among the maize hybrids, and (3) it reduces the grain yield per plant. The grain yield per plant at high plant densities is reduced so significantly that it limits multi-site progeny testing in conventional trials in the early generations. Furthermore, the data demonstrate that high plant densities establish an unfavorable negative correlation between the mean yield of progeny plants and their CV, whereas under low plant densities these two parameters are not correlated. Future breeding priorities in maize should include single-plant selection over the target area of adaptation based on the three genetic components of crop yield measured accurately at ultra-low plant densities, i.e., yield potential per plant measured by the progeny mean, tolerance to stresses measured by the progeny standardized mean, and the ability to exploit added inputs measured by the standardized selection differential. This strategy could lead to the development of density-independent hybrids that yield optimally over a wide range of plant densities and ensure a number of advantages compared to density-dependent hybrids, especially when genetically modified Roundup Ready hybrids are considered.
机译:植物种群密度代表了玉米(Zea mays L.)的农艺管理因子,在过去的六十年中发生了很大变化。本文的目的是比较和解释来自不同时代玉米的选择数据,以回答以下问题:(1)林分均匀度如何与单位面积产量相关;(2)竞争和密度如何影响对选择的响应,以及( 3)在玉米中发展密度无关杂种是可行的。在两年内和八种不同的植物密度下,使用了两个老的双杂交种(DeKalb 29和Pride 5)和两个新的单杂交种(Pioneer 3851和Pioneer 3902)。数据表明植物种群密度影响作物产量和对选择的反应。植物密度通过竞争水平的提高间接影响作物的产量。竞争,即生长资源平等分配的植物间干扰几乎随植物密度的增加而线性增加。竞争是通过单株产量的变异系数(CV)来衡量的。为了使农作物产量最大化,必须通过使植物间差异最小化,即使竞争最小化来优化林分均匀度。此外,发现高植物密度会降低对选择的响应,因为(1)它增加了单株产量的CV,(2)降低了玉米杂交种之间单株产量的差异,(3)减少了谷物单株产量。在高植物密度下,每株植物的谷物产量显着降低,以至于限制了早期常规试验中的多站点后代测试。此外,数据表明,高植物密度在后代植物的平均产量与其CV之间建立了不利的负相关关系,而在低植物密度下,这两个参数却不相关。玉米未来的育种重点应包括基于适应性目标区域的单株植物选择,基于在超低植物密度下精确测得的作物产量的三个遗传成分,即通过子代均值,对胁迫的耐受性测得的单株产量潜力由子代标准化均值衡量的能力,以及利用标准化选择差异衡量的增加投入的能力。这种策略可能会导致密度依赖性杂种的发展,这种杂种在密度范围广的植物中具有最佳产量,并且与密度依赖性杂种相比,可确保许多优势,尤其是考虑到基因修饰的抗农达杂种。

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