Much attention is devoted to understanding whole plant physiology and the architectural manipulation of peach tree canopies to optimize yield, minimize losses and to understand developmental responses to the environment. One method to visualize and understand plant physiological responses is to synthesize field data sets into mechanistically-based computer simulation models. The L-PEACH model is a functional-structural interactive plant model that simulates 3D peach tree architecture and carbohydrate flow and distribution. The construction of this virtual tree is based on metamers, repetitive subunits defined as node+leaf+axillary meristem+internodal segments. The rate at which metamers are added over the course of a field season is very important for modeling shoot growth rates but not well established experimentally. Additionally, the canopy is composed of several shoot types that behave differently. In this 2010 California field study, we investigated seasonal patterns of leaf appearance rates (LAR), the time interval between successive leaves, in normal and deficit irrigated treatments on both proleptic and epicormic shoots of mature de-fruited trees. Leaf appearance and leaf growth rate measurements were recorded three times per week from the beginning of the season in April to the end of the growing season in late September. LAR fluctuated over the course of the season and generally slowed as the season progressed. Epicormic shoots added leaves at a significantly faster rate than proleptic shoots in both water deficit and normally irrigated treatments. Although there was a difference in stem water potential between irrigation treatments, there were no significant differences in the LAR between water treatments. INTRODUCTION Peach and other stone fruits are of great economic value to the state of California, as well as many other parts of the world. Much attention is devoted to understanding whole tree physiology and the architectural manipulation of the canopy to optimize yield, minimize losses and to understand responses to our changing environment. One method to visualize and understand plant physiological responses is to synthesize field data sets into mechanistically based computer simulation models. The L-PEACH model is a 3D functional-structural interactive model of tree growth based on carbon partitioning among individual organs (Allen et al., 2005; Lopez et al., 2008; Da Silva et al., 2011). The L-PEACH and most functional-structural plant models are constructed from metamers, repetitive sub-units defined as node+leaf+axillary merristem+internodal segments (White, 1979). When constructing a model of a growing plant from metamers, it is necessary to accurately time the appearance rate of each metamer, which is likely dependent upon a combination of genetics, environmental influences and cultural practices. The appearance rate of metamers can be represented by the leaf appearance rate (LAR) which we define here as the time elapsing between the visual appearances of two successive leaf tips. The LAR is generally thought to be constant in constant conditions (Villalobos and Ritchie, 1992), and changes with fluctuating conditions (Bertero, 2001). Previous experiments in peach show that metamer emergence (Pagès et al., 1996) and leaf emergence rate (Kervella et al., 1995) slows with thermal time over the course of the season whatever Proc. VIIIth Intl. Peach Symposium Eds.: C. Xiloyannis et al. Acta Hort. 1084, ISHS 2015 314 the branching order. Having LAR values based on field data of the different shoot types that constitute the canopy of the tree is necessary for accurate growth predictions generated by the L-PEACH model. The canopy of a peach tree is made up of three unique shoot types. Proleptic shoots are the main fruiting shoots that grow from overwintered buds (Wilson, 2000; Costes, et al., 2006). Epicormic shoots commonly called water sprouts or suckers, grow vigorously from preventitious buds, often in response to pruning or limb damage (Fink, 1983; Wilson and Kelty, 1994). These shoots are less productive in terms of fruiting and often shade out the important fruit-bearing proleptic shoots. Syleptic shoots are secondary shoots that branch from axillary meristems of current season’s proleptic or epicormic shoots (Costes et al., 2006). Environmental factors have a large influence on vegetative vigor. Plant growth is strongly influenced by temperature (Ong and Baker, 1985) and fruit tree vegetative growth is enhanced by increased irrigation (Behboudian and Mills, 1997). Seasonal effects of temperature and water relations on vegetative growth are the integrated results of many daily growth events (Berman and DeJong, 1996; Basile et al., 2003; Solari et al., 2006). These short-term interactions, when scaled over weeks to months, are important determinants of seasonal carbon partitioning trends in the L-PEACH model. Solari et al. (2006) investigated daily responses of vegetative growth to manipulation of water status of peach trees grown on different rootstocks in the field and found that relative shoot extension growth rate was linearly correlated with midday stem water potential. Solari and DeJong (2006) later confirmed that root pneumatic pressurization increased leaf water potential and relative shoot extension of peach trees on both vigorous and dwarfing rootstocks. Water stress is also an important factor controlling fruit growth (Berman and DeJong, 1996; Génard and Huguet, 1996). Thus, while it is clear that even mild plant water stress can limit expansive fruit and shoot growth in peach, less is known about its effects on rate of the addition of new plant parts, specifically shoot metamers. As fundamental as this question is, there have been few field-based studies in woody perennials that have monitored shoot metamer appearance rate or LAR over an entire growing season and none of these integrate water relations. For modeling purposes we wish to know how LAR in peach trees varies over the course of the season and how it differs between shoot types that constitute the canopy. Because water has been previously shown to affect shoot growth we were also interested in observing water’s effect at a metamer scale. In this field study, we tracked the LAR and growth rate of each leaf on selected proleptic and epicormic shoots on trees grown in normally irrigated and water deficit treatments over the entire growing season. MATERIALS AND METHODS This research was conducted during the 2010 season at the UC Davis Wolfskill experimental orchards in Winters, CA. Four-year old peach trees of the ‘Laurie May’ variety (unreleased) grafted on Nemaguard rootstock growing in a sandy clay loam were used in this study. Trees were spaced 1.83 meters (m) apart in the row, with 5.18 m between rows and trained to the Kearney Agricultural Center perpendicular-V system (KACV) (DeJong et al., 1994). Nitrogen was applied twice per year, 112 kg/ha in February and 56 kg/ha in September. Experimental Design A randomized complete block design (RCBD) with three blocks, one experimental unit per treatment block combination (normal and deficit irrigation) was set up. There were three replications of each treatment. Within each treatment were three subsamples (trees) with four shoots per tree (two proleptic and two epicormic) that were randomly selected from both the west and the east-facing sides of the tree (18 shoots per shoot type per treatment). Shoots were replaced if they became damaged or ended growth early.
[1]
Romeo Favreau,et al.
Linking water stress effects on carbon partitioning by introducing a xylem circuit into L-PEACH.
,
2011,
Annals of botany.
[2]
Pierre-Eric Lauri,et al.
Analyzing Fruit Tree Architecture: Implications for Tree Management and Fruit Production
,
2010
.
[3]
T. Mills,et al.
Deficit Irrigation in Deciduous Orchards
,
2010
.
[4]
Przemyslaw Prusinkiewicz,et al.
Integrating simulation of architectural development and source-sink behaviour of peach trees by incorporating Markov chains and physiological organ function submodels into L-PEACH.
,
2008,
Functional plant biology : FPB.
[5]
T. Dejong,et al.
Relationship of water status to vegetative growth and leaf gas exchange of peach (Prunus persica) trees on different rootstocks.
,
2006,
Tree physiology.
[6]
T. Dejong,et al.
The effect of root pressurization on water relations, shoot growth, and leaf gas exchange of peach (Prunus persica) trees on rootstocks with differing growth potential and hydraulic conductance.
,
2006,
Journal of experimental botany.
[7]
P. Prusinkiewicz,et al.
Using L-systems for modeling source-sink interactions, architecture and physiology of growing trees: the L-PEACH model.
,
2005,
The New phytologist.
[8]
J. Marsal,et al.
Daily shoot extension growth of peach trees growing on rootstocks that reduce scion growth is related to daily dynamics of stem water potential.
,
2003,
Tree physiology.
[9]
H. Bertero.
Effects of Photoperiod, Temperature and Radiation on the Rate of Leaf Appearance in Quinoa (Chenopodium quinoa Willd.) under Field Conditions
,
2001
.
[10]
B. Wilson,et al.
Apical control of branch growth and angle in woody plants.
,
2000,
American journal of botany.
[11]
T. Dejong,et al.
Water stress and crop load effects on fruit fresh and dry weights in peach (Prunus persica).
,
1996,
Tree physiology.
[12]
L. Pagès,et al.
MODELLING VARIATIONS OF METAMER EMERGENCE RATE IN PEACH TREES
,
1996
.
[13]
M. Génard,et al.
Modeling the response of peach fruit growth to water stress.
,
1996,
Tree physiology.
[14]
T. Tibbitts,et al.
Leaf emergence on potato stems in relation to thermal time
,
1995
.
[15]
L. Pagès,et al.
Genotypic Differences in the Leaf Emergence Rate of Young Peach Trees
,
1995
.
[16]
T. Dejong,et al.
The Kearney Agricultural Center Perpendicular “V” (KAC-V) Orchard System for Peaches and Nectarines
,
1994
.
[17]
M. Kelty,et al.
Shoot growth from the bud bank in black oak
,
1994
.
[18]
H. Rawson.
Radiation Effects on Rate of Development in Wheat Grown Under Different Photoperiods and High and Low Temperatures
,
1993
.
[19]
Kenneth A. Shackel,et al.
Stem-water Potential as a Sensitive Indicator of Water Stress in Prune Trees (Prunus domestica L. cv. French)
,
1992
.
[20]
J. Ritchie,et al.
The effect of temperature on leaf emergence rates of sunflower genotypes
,
1992
.
[21]
G. Pieters.
Effects of irradiation level on leaf growth of sunflower
,
1985
.
[22]
S. Fink.
The occurrence of adventitious and preventitious buds within the bark of some temperate and tropical trees
,
1983
.
[23]
James White,et al.
THE PLANT AS A METAPOPULATION
,
1979
.