References
- Ayala, M., and G.A. Lang. 2004. Examining the influence of different leaf populations on sweet cherry fruit quality. Acta Hortic. 636:481–488. doi: https://doi.org/10.17660/ActaHortic.2004.636.59.
- Ayala, M., and G.A. Lang. 2017. 12. Morphology, Cropping Physiology and Canopy Training, p. 269–304. In: J. Quero-García, A. Iezzoni, J. Pulawska, and G.A. Lang (eds.). Cherries: Botany, Production and Uses. CAB International, Boston, MA.
- Bujdosó, G., and K. Hrotkó. 2017. Cherry Production, p. 1–13. In: J. Quero-García, A. Iezzoni, J. Pulawska, and G.A. Lang (eds.). Cherries: Botany, Production and Uses. CAB International, Boston, MA.
- Chen, J.M., and T.A. Black. 1991. Measuring leaf area index of plant canopies with branch architecture. Agric. For. Meteorol. 57(1–3):1–12. doi: https://doi.org/10.1016/0168-1923(91)90074-Z.
- Cittadini, E.D., H. van Keulen, P.L. Peri, and N. de Ridder. 2007. Designing a “target-tree” for maximizing gross value of product in Patagonian sweet cherry orchards. Int. J. Fruit Sci. 6(3):3–22. doi: https://doi.org/10.1300/J492v06n03_02.
- Cittadini, E.D., P.L. Peri, N.D. Ridder, and H.V. Keulen. 2008. Relationship between fruit weight and the fruit-to-leaf area ratio, at the spur and whole-tree level, for three sweet cherry varieties. Acta Hortic. 795(795):669–672. doi: https://doi.org/10.17660/ActaHortic.2008.795.105.
- Darbyshire, R., L. Webb, I. Goodwin, and E.W.R. Barlow. 2013. Evaluation of recent trends in Australian pome fruit spring phenology. Int. J. Biometeorol. 57(3):409–421. doi: https://doi.org/10.1007/s00484-012-0567-1.
- Darbyshire, R., L. Webb, I. Goodwin, and S. Barlow. 2011. Winter chilling trends for deciduous fruit trees in Australia. Agric. For. Meteor. 151(8):1074–1085. doi: https://doi.org/10.1016/j.agrformet.2011.03.010.
- Donoso, J.M., G. Lemus, D. Arribillaga, and B. Sagredo. 2019. Evolution of the sweet cherry industry in Chile. Acta Hortic. 1235:141–148. doi: https://doi.org/10.17660/ActaHortic.2019.1235.18.
- Eriksson, L., J. Trygg, and S. Wold. 2014. A chemometrics toolbox based on projections and latent variables. J. Chemom. 28(5):332–346. doi: https://doi.org/10.1002/cem.2581.
- Gainza, F., I. Opazo, V. Guajardo, P. Meza, M. Ortiz, J. Pinochet, and C. Muñoz. 2015. Rootstock breeding in Prunus species: Ongoing efforts and new challenges. Chil. J. Agric. Res. 75:6–16. doi: https://doi.org/10.4067/S0718-58392015000300002.
- Gonçalves, B., C.M. Correia, A.P. Silva, E.A. Bacelar, A. Santos, and J.M. Moutinho-Pereira. 2008. Leaf structure and function of sweet cherry tree (Prunus avium L.) cultivars with open and dense canopies. Sci. Hortic. 116(4):381–387. doi: https://doi.org/10.1016/j.scienta.2008.02.013.
- Gyeviki, M., K. Hrotkó, and P. Honfi. 2012. Comparison of leaf population of sweet cherry (Prunus avium L.) trees on different rootstocks. Sci. Hortic. 141:30–36. doi: https://doi.org/10.1016/j.scienta.2012.03.015.
- Jung, S.K., and H.S. Choi. 2010. Light penetration, growth, and fruit productivity in ‘Fuji’ apple trees trained to four growing systems. Sci. Hortic. 125(4):672–678. doi: https://doi.org/10.1016/j.scienta.2010.05.027.
- Koumanov, K.S., I.N. Staneva, G.D. Kornov, and D.R. Germanova. 2018. Intensive sweet cherry production on dwarfing rootstocks revisited. Sci. Hortic. 229:193–200. doi: https://doi.org/10.1016/j.scienta.2017.11.009.
- Lang, G.A. 2000. Precocious, dwarfing, and productive—how will new cherry rootstocks impact the sweet cherry industry? HortTechnology 10(4):719–725. doi: https://doi.org/10.21273/HORTTECH.10.4.719.
- Lang, G.A. 2001. Critical concepts for sweet cherry training systems. The Comp. Fruit Tree 34(3):70–73.
- Lang, G.A. 2005. Underlying principles of high density sweet cherry production. Acta Hortic. 325–336. doi: https://doi.org/10.17660/ActaHortic.2005.667.47.
- Long, L.E. 2001. Cherry training systems: Selection and development. Ore. State Univ., PNW Ext. Publ. 543.
- ODEPA, 2020. Base de datos comercio exterior, https://www.odepa.gob.cl (Access date: 10 September 2020).
- Predieri, S., R. Dris, L. Sekse, and F. Rapparini. 2003. Influence of environmental factors and orchard management on yield and quality of sweet cherry. J. Food Agric. Environ. 1(2):263–266. doi: https://doi.org/10.1234/4.2003.377.
- Radunic, M., A. Jazbec, M. Pecina, T. Čosić, and N. Pavičic. 2011. Growth and yield of the sweet cherry (Prunus avium L.) as affected by training system. Afr. J. Biotechnol. 10(24):4901–4906.
- Robinson, T.L. 2005. Developments in high density sweet cherry pruning and training systems around the world. Acta Hortic. (667):269–272. doi: https://doi.org/10.17660/ActaHortic.2005.667.39.
- Robinson, T.L., and A.N. Lakso. 1991. Bases of yield and production efficiency in apple orchard systems. J. Amer. Soc. Hortic. Sci. 116(2):188–194. doi: https://doi.org/10.21273/JASHS.116.2.188.
- Usenik, V., P. Orazem, and F. Stampar. 2010. Low leaf to fruit ratio delays fruit maturity of ‘Lapins’ sweet cherry on Gisela 5. Sci. Hortic. 126(1):33–36. doi: https://doi.org/10.1016/j.scienta.2010.06.008.
- Watson, D.J. 1947. Comparative physiological studies on the growth of field crops: I. Variation in net assimilation rate and leaf area between species and varieties, and within and between years. Ann. Bot. 11(41):41–76. doi: https://doi.org/10.1093/oxfordjournals.aob.a083148.
- Webster, A.D. 1995. Rootstock and interstock effects on deciduous fruit tree vigour, precocity, and yield productivity. N. Z. J. Crop Hortic.Sci. 23(4):373–382. doi: https://doi.org/10.1080/01140671.1995.9513913.
- Whiting, M.D., G. Lang, and D. Ophardt. 2005. Rootstock and training system affect sweet cherry growth, yield, and fruit quality. HortScience 40(3):582–586. doi: https://doi.org/10.21273/HORTSCI.40.3.582.
- Whiting, M.D., and G.A. Lang. 2004. ‘Bing’ sweet cherry on the dwarfing rootstock ‘Gisela 5ʹ: Thinning affects fruit quality and vegetative growth but not net CO2 exchange. J. Amer. Soc. Hortic. Sci. 129(3):407–415. doi: https://doi.org/10.21273/JASHS.129.3.0407.
- Wold, S. 1976. Pattern recognition by means of disjoint principal components models. Pattern Recognit. 8(3):127–139. doi: https://doi.org/10.1016/0031-3203(76)90014-5.
- Wünsche, J.N., and A.N. Lakso. 2000. The relationship between leaf area and light interception by spur and extension shoot leaves and apple orchard productivity. HortScience 35(7):1202–1206. doi: https://doi.org/10.21273/HORTSCI.35.7.1202.
- Yuri, J.A., M. Ibarra-Romero, J.L. Vásquez, V. Lepe, J. González-Talice, and A. Del Pozo. 2011. Reduction of apple tree height (Malus domestica Borkh) cv. Ultra Red Gala/MM111 does not decrease fruit yield and quality. Sci. Hortic. 130(1):191–196. doi: https://doi.org/10.1016/j.scienta.2011.06.036.
- Zhang, J., R. Luo, P. Scharf, M. Whiting, and Q. Zhang. 2012. Canopy architecture affects light interception in sweet cherry your. ASABE Ann. Int. Meeting. (2012):1511–1521. doi: https://doi.org/10.13031/2013.41789.