Root demography in kiwifruit (<i>Actinidia deliciosa</i>)

Reid, JB; Sorensen, Isabelle; Petrie, Ragan

doi:10.1111/j.1365-3040.1993.tb00518.x

Cited by 40 publications

(23 citation statements)

References 17 publications

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“…This result is in agreement with that of Reid, Sorenson, and Petrie (1993) whose study showed longer life spans for higher-order roots of kiwifruit (Actinidia deliciosa). This result is in agreement with that of Reid, Sorenson, and Petrie (1993) whose study showed longer life spans for higher-order roots of kiwifruit (Actinidia deliciosa).…”

Section: Root Morphology and The Risk Of Mortality-supporting

confidence: 93%

“…Higher mortality among younger roots (or early in the life of a root cohort) has been reported in an Alaskan taiga forest (Ruess, Hendrick, and Bryant, 1998) and a New Zealand kiwi orchard (Reid, Sorenson, and Petrie, 1993). Higher mortality among younger roots (or early in the life of a root cohort) has been reported in an Alaskan taiga forest (Ruess, Hendrick, and Bryant, 1998) and a New Zealand kiwi orchard (Reid, Sorenson, and Petrie, 1993).…”

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confidence: 97%

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Changes in the risk of fine‐root mortality with age: a case study in peach, Prunus persica (Rosaceae)

Wells

Glenn

Eissenstat

2002

American J of Botany

160

141

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Previous studies suggest that younger roots are more vulnerable to mortality than older roots. We analyzed minirhizotron data using a mixed-age, proportional hazards regression approach to determine whether the risk of mortality (or "hazard") was higher for younger roots than for older roots in a West Virginia peach orchard. While root age apparently had a strong effect on the hazard when considered alone, this effect was largely due to different rates of mortality among roots of different orders, diameters, and depths. Roots with dependent laterals (higher order roots) had a lower hazard than first-order roots in 1996 and 1997. Greater root diameter was also associated with a decreased hazard in both 1996 and 1997. In both years, there was a significant decrease in the hazard with depth. When considered alone, age appeared to be a strong predictor of risk: a 1-d increase in initial root age was associated with a 1.26-2.62% decrease in the hazard. However, when diameter, order, and depth were incorporated into the model, the effect of root age disappeared or was greatly reduced. Baseline hazard function plots revealed that the timing of high-risk periods was generally related to seasonal factors rather than individual root age.

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Section: Root Morphology and The Risk Of Mortality-supporting

confidence: 93%

mentioning

confidence: 97%

Changes in the risk of fine‐root mortality with age: a case study in peach, Prunus persica (Rosaceae)

Wells

Glenn

Eissenstat

2002

American J of Botany

160

141

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“…To accurately estimate biomass turnover contributed by each order, we must know the turnover rate, as well as the biomass of each order (Richardson and zu Dohua 2003). In contrast with the higher orders, the first order roots are the most dynamic part of the root system (Wells and Eissenstat 2001;Hishi and Takeda 2005a, b), and can turnover twice as fast as the second order roots (Reid et al 1993;Wells 1999;Majdi et al 2001;Wells et al 2002). If first order roots have a total biomass that is equal or greater than the second order roots, as found for the two species studied here and the seven out of nine species in Pregitzer et al (2002), the proportion of total fine root biomass turnover (which is calculated as the multiplication of turnover rate and standing biomass) being accounted for by the first order would be at least twice of that by the second order.…”

Section: Biomass Allocation Patterns Across Different Branch Ordersmentioning

confidence: 99%

Fine root architecture, morphology, and biomass of different branch orders of two Chinese temperate tree species

et al. 2006

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We have limited understanding of architecture and morphology of fine root systems in large woody trees. This study investigated architecture, morphology, and biomass of different fine root branch orders of two temperate tree species from Northeastern China-Larix gmelinii Rupr and Fraxinus mandshurica Rupr -by sampling up to five fine root branch orders three times during the 2003 growing season from two soil depths (i.e., 0-10 and.10-20 cm). Branching ratio (R b ) differed with the level of branching: R b values from the fifth to the second order of branching were approximately three in both species, but markedly higher for the first two orders of branching, reaching a value of 10.4 for L. gmelinii and 18.6 for F. mandshurica. Fine root diameter, length, SRL and root length density not only had systematic changes with root order, but also varied significantly with season and soil depth. Total biomass per order did not change systematically with branch order. Compared to the second, third and/or fourth order, the first order roots exhibited higher biomass throughout the growing season and soil depths, a pattern related to consistently higher R b values for the first two orders of branching than the other levels of branching. Moreover, the differences in architecture and morphology across order, season, and soil depth between the two species were consistent with the morphological disparity between gymnosperms and angiosperms reported previously. The results of this study suggest that root architecture and morphology, especially those of the first order roots, should be important for understanding the complexity and multi-functionality of tree fine roots with respect to root nutrient and water uptake, and fine root dynamics in forest ecosystems.

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“…Data sources includeAnderson et al (2003),Baddeley and Watson (2005),Coleman et al (2000),Gill et al (2002),Kern et al (2004),King et al (2002),Krasowski et al (2010),Ponti et al (2004),Stover et al (2010),Tierney and Fahey (2001),Wells and Eissenstat (2001),Wells et al (2002), andYao et al (2006) and (B) root branching order (y = 1.913 + 0.189x, R 2 = 0.181, P < 0.001). Data sources includeEspeleta et al (2009), Gang et al (2012,Guo et al (2008),Huang et al (2010),Majdi et al (2001),Reid et al (1993),Valenzuela-Estrada et al (2008),Wells et al (2002), andXia et al (2010).…”

mentioning

confidence: 99%