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John W. Scott

2008 with a focus on potato and tomato. Standardized phenotyping originated with the mouse community ( Abbott, 1999 ) to allow researchers to effectively compare mouse strains used as models for human diseases. Standardized phenotyping is now being

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David Rudell

treatment and storage regime on the final phenotype. Standardizing methodology for reporting postharvest traits would provide consistent data and information among breeding, research, and germplasm curation programs. Postharvest traits, many of which

Open access

Alfredo Reyes-Tena, Gerardo Rodríguez-Alvarado, José de Jesús Luna-Ruíz, Viridiana Arreola-Romero, Kirsten Lizeth Arriaga-Solorio, Nuria Gómez-Dorantes, and Sylvia P. Fernández-Pavía

phenotypes. Phenotyping for virulence is determined by evaluating the resistance or susceptibility of differential pepper lines against different isolates of this oomycete ( Barchenger et al., 2018b ). Fungicides, solarization, and crop rotation practices

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Alfredo Reyes-Tena, Arturo Castro-Rocha, Gerardo Rodríguez-Alvarado, Gerardo Vázquez-Marrufo, Martha Elena Pedraza-Santos, Kurt Lamour, John Larsen, and Sylvia Patricia Fernández-Pavía

cultivars and varieties to P . capsici has been difficult due to the presence of diverse virulence phenotypes of this pathogen ( Barchenger et al., 2018b ; Jiang et al., 2015 ; Oelke et al., 2003 ; Sy et al., 2008 ). Virulence phenotype

Open access

Anna Underhill, Cory Hirsch, and Matthew Clark

et al., 2011 ). Despite the importance of cluster compactness, phenotyping compactness in a quantitative way remains difficult. The most commonly used assessment method is a visual rating described by the Organisation Internationale de la Vigne et du

Free access

Larry R. Baker

Key examples of germplasm use to resolve industry varietal problems will be reviewed. The pros and cons of preserving phenotypes and genotypes will be presented with a view to the future from a private breeder viewpoint.

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Cari A. Schmitz, Matthew D. Clark, James J. Luby, James M. Bradeen, Yingzhu Guan, Katherine Evans, Benjamin Orcheski, Susan Brown, Sujeet Verma, and Cameron Peace

other devices. Establishing marker-locus-trait associations for texture traits depends on having an extensive, reliable phenotype database for traits of interest in breeding germplasm. Without high-quality phenotypic data, association statistics that

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Kimberly H. Krahl and William M. Randle

Although Petunia hybrida Vilm., a major bedding plant, is susceptible to many diseases, no formal disease resistance studies have been conducted. Botrytis cinerea Pers. ex Fr. is a ubiquitous pathogen, causing great damage to greenhouse-grown ornamental crops, including petunia. In this study, a screening procedure for B. cinerea resistance in petunia was developed and 48 diverse petunia phenotypes were screened for resistance to B. cinerea in two seasons, spring and fall. The range of variability for resistance to B. cinerea in petunia was wide and continuous. Spearman's rank correlation coefficients between seasons were significant and moderate. While the majority of phenotypes displayed less than a 10% difference in mean percent infection in spring vs. fall seasons, several phenotypes displayed large differences that require further testing. One cultivar, `Pink Sensation Improved', exhibited low and consistent mean percent infection in both spring and fall and, therefore, may be a useful source of resistance to B. cinerea in petunia.

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Audrey Darrigues, Jack Hall, Esther van der Knaap, David M. Francis, Nancy Dujmovic, and Simon Gray

Digital phenotyping aims to accurately describe a trait based on analysis of electronic images. Computer-based analysis of objects from digital images has the potential to increase the objectivity of data collection while reducing subjective

Free access

Alexander Q. Susko, Timothy A. Rinehart, James M. Bradeen, and Stan C. Hokanson

iron deficiency chlorosis has occurred in evergreen Rhododendron , the variation is hard to phenotype consistently because of confounding nutrient deficiencies and measurement error using a qualitative (1–10) rating scale in breeding populations