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首页> 外文期刊>Grass and forage science: the journal of the British Grassland Society. >Tillage effects, soil quality and production potential of kikuyu-ryegrass pastures in South Africa
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Tillage effects, soil quality and production potential of kikuyu-ryegrass pastures in South Africa

机译:南非基库尤黑麦草牧场的耕作效果、土壤质量和生产潜力

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Soil quality of tillage systems receives much attention worldwide, although few studies attempt to link soil quality to yield. Partial least-squares regression analysis is a suitable method to construct predictive models around plural, highly collinear factors, such as soil quality and its effects on yield. This study aimed at identifying the soil quality properties which best model pasture herbage yield by relating soil quality indicators with variations in yield as a result of soil disturbance caused by tillage. The study was conducted on kikuyu (Pennisetum clandestinum) over-sown with annual ryegrass (Lolium multiflorum) using different tillage methods. Tillage methods involved over-sowing kikuyu with ryegrass using a minimum-tillage seed drill, eradication of kikuyu with herbicide and ryegrass sown with a minimum-tillage planter, shallow and deep disturbance, and a control. Most changes in soil quality indicators as a result of soil tillage were observed shortly after tillage and occurred mostly at the 0-100 mm soil layer. Few of these effects were still visible 420 d after tillage. Microbiological indicators changed most in response to the treatments, but unlike the chemical and physical indicators, microbiological indicators have no causal link to pasture production. The contribution of individual soil quality indicators to variance in pasture productivity could not be isolated and should thus be seen as complex processes which affect yield. Although mechanisms of how some soil quality indicators affect yield is clear, more research is required to determine mechanisms of how a combination of multiple soil quality indicators affects yield.
机译:耕作系统的土壤质量在世界范围内受到广泛关注,尽管很少有研究试图将土壤质量与产量联系起来。偏最小二乘回归分析是一种合适的方法,可以围绕多个高度共线的因素(例如土壤质量及其对产量的影响)构建预测模型。本研究旨在通过将土壤质量指标与耕作引起的土壤扰动导致的产量变化联系起来,确定最能模拟牧草产量的土壤质量特性。该研究是使用不同的耕作方法对一年生黑麦草(Lolium multiflorum)过度播种的kikuyu(Pennisetum clandestinum)进行的。耕作方法包括使用最小耕作播种机用黑麦草过度播种基库尤,用除草剂根除基库尤,用最小耕作播种机播种黑麦草,浅层和深层干扰以及控制。土壤耕作导致的土壤质量指标的大多数变化是在耕作后不久观察到的,主要发生在0-100毫米的土壤层。耕作后 420 天,这些影响仍然很少可见。微生物指标对处理的反应变化最大,但与化学和物理指标不同,微生物指标与牧场生产没有因果关系。个别土壤质量指标对牧场生产力变化的贡献不能孤立,因此应被视为影响产量的复杂过程。尽管某些土壤质量指标如何影响产量的机制尚不清楚,但需要更多的研究来确定多种土壤质量指标组合如何影响产量的机制。

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