Weed control via intercropping with gliricidia: I. cotton crop
نویسندگان
چکیده
منابع مشابه
Weed Control via Intercropping with Gliricidia. Ii. Corn Crop
A reduction in herbicide use is one of modern agriculture’s main interests and several alternatives are being investigated with this objective, including intercropping. Gliricídia (Gliricidia sepium) mulch has no allelopathic effect on corn or beans but significantly decreased the population of some weed species. The objective of this study was to evaluate green ear and grain yield in corn cult...
متن کاملInfluence of Corn Sowing Density and Gliricidia Intercropping
There is interest in the identification of the best seeding density for new corn hybrids and on reduced use of herbicides for weed control. The objective of this study was to evaluate the effects of seeding density (30, 50, 70, and 90 thousand plants ha) and weed control on green ear yield and grain yield in corn cultivar AG 1051. A completely randomized block design was adopted with split-plot...
متن کاملStudy of Mungbean Intercropping in Cotton Planted with Different Techniques
Bio-economic efficiency of different cotton-based intercropping systems was determined at the Agronomic Research Area, University of Agriculture, Faisalabad, (Pakistan) during 1996-97 and 1997-98. Cotton cultivar NIAB-78 was planted in 80-cm apart single rows and 120-cm spaced double row strips with the help of a single row hand drill. Intercropping systems were cotton alone, and cotton + mungb...
متن کاملJournal of Crop and Weed
Radiations and radioisotopes are used in agricultural research to induce genetic variability in crop plants to develop improved varieties, to manage insect pests, monitor fate and persistence of pesticides, to study fertilizer use efficiency and plant micronutrient uptake and also to preserve agricultural produce. Use of radiation and radioisotopes in agriculture is one of the most important fi...
متن کاملCrop/weed discrimination in simulated images
In the context of site-specific weed management by vision systems, an efficient image processing for a crop/weed discrimination is required in order to quantify the Weed Infestation Rate (WIR) in an image. This paper presents a modeling of crop field in presence of different Weed Infestation Rates and a set of simulated agronomic images is used to test and validate the effectiveness of a crop/w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Planta Daninha
سال: 2009
ISSN: 0100-8358
DOI: 10.1590/s0100-83582009000100013