利用根际细菌防治番茄可持续农业根结线虫病

Q4 Agricultural and Biological Sciences

International Journal of Agricultural Resources, Governance and Ecology Pub Date : 2019-10-24 DOI:10.1504/ijarge.2019.10024885

Rika Alfianny, T. S. Syamsudin, I. Aryantha

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引用次数: 1

摘要

根结线虫是危害植物根系的线虫之一，其存在造成的产量损失高达46.2%。目前，该病及其危害的防治主要集中在生物防治上，以实现农业可持续发展。利用根际细菌是防治根结线虫的另一种方法。本研究的目的是寻找能防治根结线虫和促进番茄生长的根际细菌。试验在田间进行，采用随机区组设计，对根际细菌进行10个处理。在最后的田间试验中，由LM24和CK212组成的联合分离物，P52 (LM38 + CN26 + CK27 + CK212)仅对根结线虫有抑制作用，P40 (LM24 + CN26)仅对根结线虫有较好的抑制作用，而P31 (LM24 + CN26 + CK27)不仅能抑制线虫，还能提高番茄植株的生长和产量。

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Control of root-knot nematode disease in tomato-based sustainable agriculture using rhizosphere bacteria

Root-knot nematode are one of the nematodes that damage plant roots, their existence causing yield loss of up to 46.2%. Currently, the disease and its damage prevention are focused on biological control to attain sustainability in agriculture. The use of rhizosphere bacteria is one alternative method for controlling root-knot nematode. The aim of this study is to find out rhizosphere bacteria which are able to control root-knot nematode and to improve growth of tomato. The experiment was conducted in the field, using a randomised block design with ten treatments of rhizosphere bacteria. In the final test in the field, it was concluded that consortium isolate consisting of LM24 and CK212, P52 (LM38 + CN26 + CK27 + CK212) only had potency in suppressing root-knot nematodes and P40 (LM24 + CN26) only resulted in better growth, whereas P31 (LM24 + CN26 + CK27) could not only suppress nematodes but also improve the growth and productivity of the tomato plant.

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来源期刊

International Journal of Agricultural Resources, Governance and Ecology Agricultural and Biological Sciences-Agronomy and Crop Science

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： IJARGE proposes and fosters discussion on the evolution and governance of agricultural resources, with emphasis on the implications that policy choices have on both the welfare of humans and the ecology of the planet. This perspective acknowledges the complexity of the agricultural sector as an interface between ecological and socio-economic processes operating in parallel over different space-time scales, as well as the reflexive characteristic of human systems.