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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150599
Doc. No : ET22391
Main Entry : Antonio Jose de Araujo Moreira
Title Proper : Use of remote sensing, geographic information systems, and spatial statistics to assess spatio-temporal population dynamics of Heterodera glycines and soybean yield quantity and quality
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Soybean, Glycine max (L.) Merr., is a major source of vegetable oil producedworldwide (Wilcox, 2004), and soybean cyst nematode (SCN), Heterodera glycinesIchinohe, is one of the principal causes of soybean yield losses in the world. Economic lossescaused by SCN surpass US$ 1 billion in the United States annually (Wrather et al., 2001),and yield reductions can occur even in the absence of noticeable symptoms (Niblack et al.,..-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL45600.pdf
Title and statement of responsibility and : Use of remote sensing, geographic information systems, and spatial statistics to assess spatio-temporal population dynamics of Heterodera glycines and soybean yield quantity and quality [Thesis]
 
 
 
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