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Comparing Fitness Cost Associated with Haloxyfop-R Methyl Ester Resistance in Winter Wild Oat Biotypes Planta Daninha
HASSANPOUR-BOURKHEILI,S.; GHEREKHLOO,J.; KAMKAR,B.; RAMEZANPOUR,S.S..
ABSTRACT: Consecutive application of herbicides has led to the evolution of herbicide-resistant weeds. This resistance is often associated with a fitness cost. Hence, a completely randomized design experiment with three replications was conducted to evaluate the fitness cost of haloxyfop-R methyl ester resistant winter wild oat biotypes (Avena ludoviciana Durieu) possessing Ile-2041-Asn mutation compared to susceptible ones. The pre-germinated F2 generation winter wild oat biotypes were sown in 0.2 m2 pots containing 50 cm of silty-loam soil outdoors and their growth parameters including tiller number, plant height, leaves per plant, leaf area per plant, chlorophyll content index, leaf dry weight, and plant dry weight were measured 30, 70, 100, 115 and 130...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Avena ludoviciana Durieu; Growth indices; Pleiotropic effects; Ile-2041-Asn.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-83582020000100242
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DEVELOPMENT OF A COMPUTATIONAL TOOL TO IDENTIFY NUTRITIONAL DEFICIENCIES IN CURUBA PLANTS (Passiflora tripartita var. molissima) CIGR Journal
Roa Guerrero, Edgar Eduardo.
Nowadays, the determination of nutritional deficiencies in plants has become one of the most important analysis of crop growth. Often, this analysis is performed manually by specialized personnel for long period of time, leading to an error in the procedure. The purpose of this research is to develop a computational tool for the identification of nutritional deficiencies such as Nitrogen, Potassium and Phosphorus in Curuba plants. The methodology includes 3D designs, tool construction and the detection of nutritional deficiencies by image processing techniques in MatLab. Finally, the results obtained by the developed computational tool with respect to the data provided in a traditional way by the technical experts, presented an accuracy of 100%, 80%, 91%...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Image processing; Identification of nutritional deficiencies in plants Nutritional deficiencies; Growth indices; Computational tool.
Ano: 2018 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4335
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