Relative contribution of initial root and shoot morphology in predicting field performance of hardwood seedlings

By D. Jacobs, K. Salifu, J. Seifert. New forests, 2005

189 citations recorded by the source corpus.

Subfields: Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/873bfd213e76ee9ca0565f53847cb7e4cc233575

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In Nature and Landscape Conservation

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Citations in the corpus

Quality Assessment of Temperate Zone Deciduous Hardwood Seedlings (2006, background): “Though poor survival can be attributed to numerous factors (e.g., deer browse, competing vegetation, etc.), variation in seedling quality is also likely a major issue (Dey and Parker 1997; Ward et al. 2000; Jacobs et al. 2005).”
Artificial Regeneration of Major Oak (Quercus) Species in the Eastern United States—A Review of the Literature (2008, background): “Similarly, Jacobs et al. (2005b) suggested that FOLR, compared directly with other easily measured variables, was among the least effective predictors of first-year field performance of northern red oak and white oak.”
Predicting field performance of five irrigated tree species using seedling quality assessment in Burkina Faso, West Africa (2009, background): “…performance, a variety of seedling quality assessment methods has been developed, based on seedling morphological attributes, such as shoot height, root collar diameter, height to diameter ratio, and root to shoot ratio (Deans et al. 1989; Dey and Parker 1997; Jacobs et al. 2005; Zida et al. 2008).”
Underplanting to sustain future stocking of oak (Quercus) in temperate deciduous forests (2012, background): “The artificial regeneration of oak by planting seedlings has been largely applied in afforesting agricultural crop lands and pastures (e.g., Jacobs et al. 2005; Kabrick et al. 2005; Dey et al. 2008a; Gardiner et al. 2010).”
Quantifying root system quality of nursery seedlings and relationship to outplanting performance (2005, methodology): “Height and root-collar diameter are widely used to assess the quality of nursery seedlings, and in many cases these variables have been correlated with seedling survival and/or growth after outplanting (Thompson 1985; Bayley and Kietzka 1997; Jacobs et al. 2005).”
Why seedlings grow: influence of plant attributes (2017, background): “Height (20) Positive 70 Shoot—Grossnickle (2005b), Jacobs et al. (2005), Cicek et al. (2007), Oliet et al. (2009a), del Campo et al. (2010), Maltoni et al. (2010), Li et al. (2011), Pinto et al. (2011, 2015), Deligöz et al. (2013), Regan et al. (2015) Akpo et al. (2014), Clark et al. (2016) and Ive”
Seedling Quality: History, Application, and Plant Attributes (2018, background): “, performance potential index [61], covariate morphological attributes [93], multivariate analysis [94], multiple variable models [95]) and provide forecasting models.”