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A comparison of commonly used indices for evaluating species interactions and intercrop efficiency: Application to durum wheat-winter pea intercrops

机译:评价物种间相互作用和间作效率的常用指标比较:在硬粒小麦-冬豌豆间作中的应用

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There are many indices available to evaluate the potential advantages of intercrops and species interactions but correct choice of index is crucial in making accurate interpretations. This study compared and evaluated the relevance in understanding intercrop functioning of some well-known indices (aggressivity, AG; cumulative relative efficiency index, REIc: land equivalent ratio, LER) and other potentially useful indices (change in contribution, CC: interspecific and intraspecific interaction index, IE and IA: comparative absolute growth rate, CGR).Data collected from a two-year field experiment in SW France with different fertiliser N levels comparing wheat (Triticum turgidum L. cv. Nefer) and pea (winter pea, Pisum sativum L, cv. Lucy) grown as sole crops or intercrops in a row substitutive design were used to calculate, compare and evaluate the relevance of the selected indices for understanding intercrop functioning.It was found that AG indices (calculated with or without considering sowing density or actual plant density) did not provide the information generally claimed in the literature (i.e. whether a crop is dominant or dominated). Consequently, their use is clearly unadvisable except when analysed jointly with partial land equivalent ratios. The LER index proved to be clearly relevant, versatile and helpful in illustrating the pattern of competitive outcomes in intercropping experiments, in particular when plotting partial LER values of wheat as a function of those of pea. However, LER cannot identify intraspecific and interspecific interactions. To do so we suggest using the intraspecific and interspecific interaction indices, which can also reveal possible facilitation phenomena and allow description of species change in the contribution index (CC). Interaction dynamics between crops that determine the final balance and the outcome of all competitive interactions occurring between the two crops can be evaluated using the CGR index, which is preferable to REIc, particularly when crops differ greatly in their dry weight.Careful choice of index and interpretation of the results are thus essential in correctly understanding species interactions (globally and dynamically) and intercrop efficiency compared with sole crops. Such indices can help highlight and reveal cereal and legume traits suited to intercropping and also appropriate cropping sequences and management techniques, allowing efficient intercropping. However, the results must always be related to actual data values (yield, dry weight or N accumulated) because the indices used cannot evaluate intrinsically quantitative performance but only the relative performance of intercrops compared with that of sole crops
机译:有许多指数可用于评估间作和物种相互作用的潜在优势,但是正确选择指数对于做出准确的解释至关重要。这项研究比较并评估了一些知名指标(侵略性,AG;累积相对效率指标,REIc:土地当量比,LER)和其他潜在有用指标(贡献变化,CC:种间和种内)在了解作物间功能方面的相关性相互作用指数,即IE和IA:相对绝对增长率,CGR)。数据来自法国西南部一项为期两年的田间试验,使用不同氮肥水平比较了小麦(Triticum turgidum L. cv。Nefer)和豌豆(冬豌豆,Pisum)连续替代设计中以单一作物或间作种植的Sativum L,cv.Lucy)被用于计算,比较和评估所选指标对了解间作功能的相关性。发现AG指数(计算时考虑或不考虑播种)密度或实际植物密度)没有提供文献中通常要求的信息(即,农作物是优势作物还是主导作物)。因此,除非结合部分土地当量比率进行分析,否则显然不建议使用它们。 LER指数被证明具有明显的相关性,通用性,并有助于说明间作试验中竞争结果的模式,尤其是在绘制小麦的部分LER值作为豌豆的LER值时。但是,LER无法识别种内和种间的相互作用。为此,我们建议使用种内和种间相互作用指数,这也可以揭示可能的促进现象,并可以描述物种在贡献指数(CC)中的变化。可以使用CGR指数来评估确定两种作物之间最终平衡和所有竞争性相互作用结果的作物之间的相互作用动力学,这优于REIc,尤其是当作物的干重差异很大时。因此,对结果的解释对于正确理解物种相互作用(全球和动态)以及与单独作物相比的间作效率至关重要。这样的指数可以帮助突出和揭示适合间作的谷物和豆类性状,以及合适的种植顺序和管理技术,从而实现有效的间作。但是,结果必须始终与实际数据值(产量,干重或氮积累量)相关,因为所使用的指标不能评估内在的定量性能,而只能评估间作与单独作物相比的相对性能。

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