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Zongyu Li, R. Karina Gallardo, Wendy Hoashi-Erhardt, Vicki A. McCracken, Chengyan Yue and Lisa Wasko DeVetter

. From the perspective of breeding programs, one study found that phytonutrient content, abiotic resistance, plant habit, disease and pest resistance, and appearance were the five most important trait clusters for strawberry breeding programs ( Gallardo

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Chengyan Yue, Jingjing Wang, Eric Watkins, Stacy A. Bonos, Kristen C. Nelson, James A. Murphy, William A. Meyer and Brian P. Horgan

; therefore, we aggregated individual traits as trait clusters based on the trait similarities and differences ( Table 1 ). A copy of the survey is available on request. Table 1. Individual turfgrass traits included in each trait cluster. Empirical model. We

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R. Karina Gallardo, Diem Nguyen, Vicki McCracken, Chengyan Yue, James Luby and James R. McFerson

trait clusters, and major findings; and (3) conclusions. Methods Data description. During April to June of 2010, we conducted a comprehensive internet survey of 60 rosaceous breeding programs, which is, to our knowledge, the entire population of these

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R. Karina Gallardo, Qi Zhang, Michael Dossett, James J. Polashock, Cesar Rodriguez-Saona, Nicholi Vorsa, Patrick P. Edger, Hamid Ashrafi, Ebrahiem Babiker, Chad E. Finn and Massimo Iorizzo

directly or indirectly provide benefits to the blueberry industry. Hereafter, the term blueberry industry refers to nurseries, producers, packers, processors, breeders, and nonbreeder researchers. Six trait clusters were derived heuristically from this list

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R. Karina Gallardo, Parichat Klingthong, Qi Zhang, James Polashock, Amaya Atucha, Juan Zalapa, Cesar Rodriguez-Saona, Nicholi Vorsa and Massimo Iorizzo

nonbreeder researchers. Five trait clusters were derived from this list, including 1) fruit quality, 2) disease resistance, 3) arthropod pest resistance (note that the survey used “insect pest resistance” to refer to arthropod pest resistance, which we use

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Ruby Valdez-Ojeda, José Luis Hernández-Stefanoni, Margarita Aguilar-Espinosa, Renata Rivera-Madrid, Rodomiro Ortiz and Carlos F. Quiros

traits clustered individuals by origin ( Mazzani et al., 2000 ). Isozyme variation has been studied for annatto in Brazil and indicated that genetic differences corresponded to geographic differences ( Portela de Carvalho et al., 2005 ). Similar research

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Yan Liu, Hailin Guo, Yi Wang, Jingang Shi, Dandan Li, Zhiyong Wang and Jianxiu Liu

-density traits. Cluster analysis based on morphological traits showed that all groups had one or more characteristics that distinguish them from the other groups. We named each group based on their average traits to provide a good foundation for the further