Български
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Chinese Journal of Applied Ecology 2019-Oct

[Effects of different grasses cultivation on apple orchard soil microbial community].

Само регистрирани потребители могат да превеждат статии
Вход / Регистрация
Линкът е запазен в клипборда
Li-Li Jiang
Qing-Tao Gong
Hai-Bin Wu
Fu-Jing Sheng
Rui-Hong Sun

Ключови думи

Резюме

Taking naturally growing grass (NG) as comparison, high-throughput sequencing technique was adopted to examine the effects of Lolium perenne (LP), Trifolium repens (TR), Vulpia myuros (VM), and Vicia villosa (VV) cultivation on soil microbial community in apple orchard of Yanggu County, Shandong Province, and the correlations of soil microbial community with soil nutrient and physicochemical property. The results showed that LP increased the relative abundance of Alternaria and Aspergillus in soil, TR increased that of Gibberella, VM increased Aureobasidium and Chaetomium, and VV increased probiotics such as Nitrososophaera and Metarhizium. However, the quantity of pathogenic bacteria Ralstonia was improved in NG treatment. Results from Spearman correlation analysis showed that the abundance of Bacillus was significantly positively correlated with the concentration of soil organic matter. The abundance of Aspergillus was significantly negatively correlated with available phosphorus, available potassium, CEC, and organic matter. The abundance of Metarhizium was significantly positively correlated with soil pH and CEC. Planting VV between rows of apple orchards, and enhancing the soil organic matter and nutrients content in a certain extent, helped to improve soil micro-ecological environment.

Присъединете се към нашата
страница във facebook

Най-пълната база данни за лечебни билки, подкрепена от науката

  • Работи на 55 езика
  • Билкови лекове, подкрепени от науката
  • Разпознаване на билки по изображение
  • Интерактивна GPS карта - маркирайте билките на място (очаквайте скоро)
  • Прочетете научни публикации, свързани с вашето търсене
  • Търсете лечебни билки по техните ефекти
  • Организирайте вашите интереси и бъдете в крак с научните статии, клиничните изследвания и патентите

Въведете симптом или болест и прочетете за билките, които биха могли да помогнат, напишете билка и вижте болестите и симптомите, срещу които се използва.
* Цялата информация се базира на публикувани научни изследвания

Google Play badgeApp Store badge