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Rate of shoot development (phyllochron) is dependent of carbon availability, shoot type, and rank in peach trees

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Crop load or carbohydrate availability, affects the phyllochron, leaf length, and leaf area of proleptic and epicormic shoots on mature, field-grown Prunus persica trees.

Abstract

It is well known that shoot growth rates can be strongly influenced by availability of carbohydrates to support growth. Additionally, carbohydrate availability for vegetative growth is influenced by crop load, since fruits are strong sinks for photosynthates. Thus, while crop load is known to have significant effects on shoot growth rates it is not clear whether this effect is limited to extension growth rates of internodes or whether it also affects shoot development such as the rate at which nodes are added to shoots, i.e., the phyllochron. In this study, we investigated the effect of the presence and absence of the crop on the phyllochron of proleptic and epicormic shoots on mature, field-grown peach trees. Leaf growth measurements were recorded three times per week from the beginning to the end of the growing season and used to calculate the phyllochron on trees from two treatments; one with 100% of the crop left on it (unthinned or fully cropped) and a treatment of trees where the crop was completely removed (non-cropped). The phyllochron fluctuated but generally increased over the season due to a rank effect. The phyllochron was longer on trees with heavy crop loads. Although there were large differences in phyllochrons between treatments in both shoot types, only differences observed in epicormic shoots were statistically significant. Additionally, leaf length and leaf area were also significantly reduced by crop load in both shoot types. These findings indicate that the phyllochron of field-grown peach trees is apparently sensitive to carbohydrate availability in the tree and should be considered when trying to accurately predict the timing of the addition of new phytomers along a shoot.

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References

  • Allen MT, Prusinkiewicz P, DeJong TM (2005) Using L-systems for modeling source-sink interactions, architecture and physiology of growing trees: the L-PEACH model. New Phytol 166:869–880

    Article  CAS  PubMed  Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration. Guidelines for computing crop water requirements. FAO irrigation and drainage Paper no. 56. FAO, Rome, Italy, p 300

  • Berman ME, DeJong TM (1996) Water stress and crop load effects on fruit fresh and dry weights in peach (Prunus persica). Tree Physiol 16:859–864

    Article  CAS  PubMed  Google Scholar 

  • Berman ME, DeJong TM (2003) Seasonal patterns of vegetative growth and competition with reproductive sinks in peach (Prunus persica). J Hortic Sci Biotechnol 78(3):303–309. https://doi.org/10.1080/14620316.2003.11511622

    Article  Google Scholar 

  • Cao W, Tibbitts W (1995) Leaf emergence on potato stems in relation to thermal time. Crop Sci 87:474–477

    Google Scholar 

  • Cieslak M, Seleznyova AN, Hanan J (2011) A functional–structural kiwifruit vine model integrating architecture, carbon dynamics and effects of the environment. Ann of Bot 107:747–764

    Article  CAS  Google Scholar 

  • Costes E, Lauri PE, Regnard JL (2006) Analyzing fruit tree architecture: implications for tree management and fruit production. Hortic Rev 32:1–61

    Google Scholar 

  • Cousens RD, Johnson MP, Weaver SE, Martin TD, Blair AM (1992) Comparative rates of emergence and leaf appearance in wild oats (Avena fatua), winter barley (Hordeum sativum) and winter wheat (Triticum aestivum). J Agric Sci 118:149–156

    Article  Google Scholar 

  • Da Silva D, Favreau R, Auzmendi I, DeJong TM (2011) Linking water stress effects on carbon partitioning by introducing a xylem circuit into L-PEACH. Ann Bot 41:433–447

    Google Scholar 

  • Davidson A, Da Silva D, Quintana B, Dejong TM (2015) The phyllochron of Prunus persica shoots is relatively constant under controlled growth conditions but seasonally increases in the field in ways unrelated to temperature or radiation. Sci Hortic 184:106–113

    Article  Google Scholar 

  • DeJong TM, Goudriaan J (1989a) Modeling peach fruit growth and carbohydrate requirements: reevaluation of the double-sigmoid growth pattern. J Am Soc Hortic Sci 114:800–804

    Google Scholar 

  • DeJong TM, Goudriaan J (1989b) Modeling the carbohydrate economy of the peach fruit growth and crop production. Acta Hortic 254:103–108

    Article  Google Scholar 

  • DeJong TM, Grossman YL (1992) Modeling the seasonal carbon economy of deciduous tree crops. Acta Hortic 313:21–28

    Article  Google Scholar 

  • DeJong TM, Grossman Y (1995) Quantifying sink and source limitations on dry matter partitioning to fruit growth in peach trees. Physio Plantarum 95(3):437–443

    Article  CAS  Google Scholar 

  • DeJong TM, Doyle JF, Day KR (1987) Seasonal patterns of reproductive and vegetative sink activity in early and late maturing peach (Prunus persica) cultivars. Physiol Plant 71: 83–88

    Article  Google Scholar 

  • DeJong TM, Day KR, Doyle JF, Johnson RS (1994) The Kearney Agricultural Center Perpendicular “V” (KAC-V) orchard system for peaches and nectarines. HortTech 4:362–367

    Article  Google Scholar 

  • Dennett MD, Auld BA, Elston J (1978) A description of leaf growth in Vicia faba L. Ann Bot 47:350–351

    Google Scholar 

  • Fink S (1983) The occurrence of adventitious and preventitious buds within the bark of some temperate and sub-tropical trees. Am J Bot 70:532–542

    Article  Google Scholar 

  • Fleisher DH, Shillito RM, Timlin DJ, Kim SH, Reddy VR (2006) Approaches to modeling potato leaf appearance rate. Agron J 98:522–528

    Article  Google Scholar 

  • Gompertz B (1825) On the nature of the function expressive of the law of human mortality, and on a new method of determining the value of life contigencies. Philos Trans 115:513–583

    Article  Google Scholar 

  • Gordon D, DeJong TM (2007) Current-year and subsequent-year effects of crop-load manipulation and epicormic-shoot removal on distribution of long, short and epicormic shoot growth in Prunus persica. Ann Bot 99(2):323–332

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Gordon D, Damiano C, DeJong TM (2006) Preformation in vegetative buds of Prunus persica: factors influencing number of leaf primordia in overwintering buds. Tree Phys 26(53):7–544

    Google Scholar 

  • Gray A (1879) Structural botany. Ivsion, Blakeman, Taylor and Company, New York

    Google Scholar 

  • Grossman YL, DeJong TM (1994) PEACH: a simulation model of reproductive and vegetative growth in peach trees. Tree Phys 14:329–345

    Article  CAS  Google Scholar 

  • Grossman YL, DeJong TM (1995) Maximum fruit growth potential following resource limitation during peach growth. Ann Bot 75:561–567

    Article  Google Scholar 

  • Kervella J, Pagès L, Genard M (1995) Growth context and fate of axillary meristems of young peach trees. Influence of parent shoot growth characteristics and of emergence date. Ann Bot 76:559–567

    Article  Google Scholar 

  • Kirby EJM (1995) Factors affecting rate of leaf emergence in barley and wheat. Crop Sci 35:11–19

    Article  Google Scholar 

  • Lambers H, Chapin SF III, Pons TL (2008) Plant physiological ecology, 2nd edn. Springer, New York, p 321

    Book  Google Scholar 

  • Loomis RS, Rabbinge R, Ng E (1979) Explanatory models in crop physiology. Annu Rev Plant Physiol 30:339–367

    Article  Google Scholar 

  • Lopez G, Favreau RR, Smith C, Costes E, Prusinkiewicz P, DeJong TM (2008) Integrating simulation of architectural development and source–sink behaviour of peach trees by incorporating Markov chains and physiological organ function submodels into L-PEACH. Funct Plant Biol 35:761–771

    Article  Google Scholar 

  • Maggs DH (1963) The reduction in growth of apple trees brought about by fruiting. J Hortic Sci 38:119–128

    Article  Google Scholar 

  • Mathews M, Anderson M, Schultz H (1987) Phenologic and growth responses to early and late season water deficits in Cabernet franc. VITIS 26:147–160

    Google Scholar 

  • McCutchan H, Shackel KA (1992) Stem-water potential as a sensitive indicator of water stress in prune trees (Prunus domestica L cv French). J Am Soc Hortic Sci 117:607–611

    Article  Google Scholar 

  • Pagès L, Kervella J, Genard M (1996) Modelling variations of metamer emergence rate in peach trees. Acta Hortic 416:29–38

    Article  Google Scholar 

  • Pavel EW, DeJong TM (1993) Relative growth rate and its relationship to compositional changes of nonstructural carbohydrates in the mesocarp of developing peach fruits. J Am Soc Hortic Sci 118:503–508

    Article  CAS  Google Scholar 

  • Penning de Vries FWT, Van Laar HH (1982) Simulation of plant growth and crop production. Center for Agricultural Publishing and Documentation, Wageningen, p 320

    Google Scholar 

  • Raper CD, Thomas JF (1975) Temperatures in early post-transplant growth: influence on leaf and floral initiation in tobacco. Crop Sci 15:732–733

    Article  Google Scholar 

  • Rawson H (1993) Radiation effects on rate of development in wheat grown under different photoperiods and high and low temperatures. Aust J Plant Physiol 20:719–727

    Google Scholar 

  • Rawson H, Hindmarsh J (1982) Effects of temperature on leaf expansion in sunflower. Aust J Plant Physiol 9:209–219

    Google Scholar 

  • Rawson H, Hindmarsh J (1992) Effects of temperature on leaf expansion in sunflower. Aust J Plant Physiol 9:209–219

    Google Scholar 

  • Richardson EA, Seely SD, Walker DR, Anderson JL, Ashcroft GL (1975) Pheno-climatography of spring peach bud development. Hort Sci 10:236–237

    Google Scholar 

  • Schultz HR (1992) An empirical model for the simulation of leaf appearance and leaf area development of primary shoots of several grapevine (Vitis vinifera L.). Sci Hortic 52:179–200

    Article  Google Scholar 

  • Silk WK (1980) Plastochron indices in cantaloupe grown on an irrigation line source. Bot Gaz 141:73–78

    Article  Google Scholar 

  • Villalobos FJ, Ritchie JT (1992) The effect of temperature on leaf emergence rates of sunflower genotypes. Field Crops Res 29:37–46

    Article  Google Scholar 

  • Vivin P, Castelan M, Gaudillère JP (2002) A source/sink model to simulate seasonal allocation of carbon in grapevine. Acta Hortic 584:43–56

    Article  CAS  Google Scholar 

  • White J (1979) The plant as a metapopulation. Annu Rev Ecol Evol Syst 10:109–145

    Article  Google Scholar 

  • Wilhelm WW, McMaster GS (1995) Importance of the phyllochron in studying the development and growth of grasses. Crop Sci 35:1–3

    Article  Google Scholar 

  • Wilson BF (2000) Apical control of branch growth and angle in woody plants. Am J Bot 87:601–607

    Article  CAS  PubMed  Google Scholar 

  • Wilson BF, Kelty MJ (1994) Shoot growth from the bud bank in black oak. Can J For Res 24:149–154

    Article  Google Scholar 

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Correspondence to Anna Davidson.

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Davidson, A., Da Silva, D. & DeJong, T.M. Rate of shoot development (phyllochron) is dependent of carbon availability, shoot type, and rank in peach trees. Trees 33, 1583–1590 (2019). https://doi.org/10.1007/s00468-019-01881-y

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  • DOI: https://doi.org/10.1007/s00468-019-01881-y

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