Allometric Growth Patterns and Phenotypic Plasticity Indices of Different Grades of Annual Pinus yunnanensis Franch. Seedlings at Different Growth Stages
Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Location for the Research
2.2. Sources of Seeds
2.3. Classification of Seedlings
2.4. The Measurement of the Correlative Index of the Seedling
2.4.1. Measurement of Seedling Height and Ground-Line Diameter
2.4.2. Determination of Root System Index of Seedlings
2.4.3. Phenotypic Plasticity Index Measurement
2.5. Construction and Analysis of Allometric Growth Model
2.6. Data Processing and Analysis
3. Results
3.1. Allometric Growth of Height and Ground-Line Diameter of Seedlings of Different Grades
3.2. Allometric Growth of Root Length and Root Average Diameter of Seedlings of Different Grades
3.3. Analysis of Phenotypic Plasticity Index of Different Grades of Seedlings
4. Discussion
4.1. Factors Affecting the Allometric Growth Trend of Seedling Height and Ground-Line Diameter
4.2. Factors Affecting the Growth and Development of Seedling Roots
4.3. The Interaction Between Allometric Growth and Phenotypic Plasticity
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Li, Y.-X.; Liu, Y.; Wang, Y.-H.; Ding, Y.-F.; Wang, S.-H.; Liu, Z.-H.; Li, G.-H. Effects of seedling age on the growth stage and yield formation of hydroponically grown long-mat rice seedlings. J. Integr. Agric. 2020, 19, 1755–1767. [Google Scholar] [CrossRef]
- Feng, J.; Wang, B.; Xian, M.; Zhou, S.; Huang, C.; Cui, X. Prediction of future potential distributions of Pinus yunnanensis varieties under climate change. Front. For. Glob. Change 2023, 6, 1308416. [Google Scholar] [CrossRef]
- Zhou, C.; Gu, X.; Li, J.; Su, X.; Chen, S.; Tang, J.; Chen, L.; Cai, N.; Xu, Y. Physiological Characteristics and Transcriptomic Responses of Pinus yunnanensis Lateral Branching to Different Shading Environments. Plants 2024, 13, 1588. [Google Scholar] [CrossRef] [PubMed]
- Huang, X.; Su, J.; Li, S.; Liu, W.; Wang, X. Functional diversity drives ecosystem multifunctionality in a Pinus yunnanensis natural secondary forest. Sci. Rep. 2019, 9, 6979. [Google Scholar] [CrossRef] [PubMed]
- Xu, J.; Zhou, C.; Su, X.; Cai, N.; Chen, L.; Xu, Y. Cytokinin-regulated WUSCHEL promotes lateral bud and vascular cambium development in Pinus yunnanensis. Plant J. Cell Mol. Biol. 2026, 125, e70711. [Google Scholar] [CrossRef] [PubMed]
- Xu, Y.; Zhang, Y.; Li, Y.; Li, G.; Liu, D.; Zhao, M.; Cai, N. Growth Promotion of Yunnan Pine Early Seedlings in Response to Foliar Application of IAA and IBA. Int. J. Mol. Sci. 2012, 13, 6507–6520. [Google Scholar] [CrossRef] [PubMed]
- Ighalo, J.O.; Akaeme, F.C.; Georgin, J.; de Oliveira, J.S.; Franco, D.S.P. Biomass Hydrochar: A Critical Review of Process Chemistry, Synthesis Methodology, and Applications. Sustainability 2025, 17, 1660. [Google Scholar] [CrossRef]
- Ochoa-Chaparro, E.H.; Patiño-Cruz, J.J.; Anchondo-Páez, J.C.; Alvarez-Monge, A.; Franco-Lagos, C.L.; Sánchez, E. Seed Nanopriming Improves Jalapeño Pepper Seedling Quality for Transplantation. Seeds 2025, 4, 47. [Google Scholar] [CrossRef]
- Yongli, C.; Hua, W. Study on the Gradeification of three-year-old camellia chrysantha seedlings in Guizhou. Zhongnan For. Surv. Plan. 2024, 43, 59–62. [Google Scholar] [CrossRef]
- He, Z.-M.; Ma, X.-Q.; Yan, Y.; Li, B.-J.; Liu, Y.-H.; Yu, X.-T.; Li, M. Comparative Study on Wood Characteristics of Cunninghamia lanceolata from Different Provenances. For. Res. 2021, 34, 49–57. [Google Scholar] [CrossRef]
- Wang, H.Z.; Lian, Z.X.; Lu, G.D.; Huang, Y.F.; Cui, Z.J.; Li, J.T.; Du, T. Relationship Wbetween seedling grade of Codonopsis pilosula and yield and quality of medicinal materials. China J. Chin. Mater. Medica 2016, 41, 3950–3955. [Google Scholar] [CrossRef] [PubMed]
- Jeon, J.; Lim, H.; Lee, K.; Noh, E.W.; Lee, I.H.; Lee, W.Y.; Koo, Y.B.; Jang, K. Evaluating Growth and Stability of Nine Poplar Clones for Riparian Afforestation. Plants 2025, 14, 2482. [Google Scholar] [CrossRef] [PubMed]
- Xiaowu, S.; Wan, Z.; Siguang, L.; Siguang, L.; Xiaobing, Y.; Yongtao, M.; Rong, Z.; Li, L.; Maoguang, C.; Boliang, Z. Study on the correlation between the cultivation of strong seedlings and the growth of young stands of Pinus yunnanensis. Yunnan For. Sci. Technol. 2000, 1–9. [Google Scholar] [CrossRef]
- Gazal, R.M.; Blanche, C.A.; Carandang, W.M. Root growth potential and seedling morphological attributes of narra (Pterocarpus indicus Willd.) transplants. For. Ecol. Manag. 2004, 195, 259–266. [Google Scholar] [CrossRef]
- Jacobs, D.; Salifu, K.; Seifert, J. Relative contribution of initial root and shoot morphology in predicting field performance of hardwood seedlings. New For. 2005, 30, 235–251. [Google Scholar] [CrossRef]
- Touhami, I.; Khorchani, A.; Bougarradh, M.; Elaieb, M.T.; Khaldi, A. Assessing the quality of seedlings in small-scale nurseries using morphological parameters and quality indicators to improve outplanting success. Plant Sociol. 2017, 54, 29–32. [Google Scholar] [CrossRef] [PubMed]
- Guolei, L.; Fei, G.; Yan, Z.; Qingmei, L.; Shangqing, Z.; Le, J. Research progress on seedling quality abroad. World For. Res. 2011, 24, 27–35. [Google Scholar] [CrossRef]
- Dey, D.C.; Parker, W.C. Morphological indicators of stock quality and field performance of red oak (Quercus rubra L.) seedlings underplanted in a central Ontario shelterwood. New For. 1997, 14, 145–156. [Google Scholar] [CrossRef]
- Bin, C. Discussion on quality evaluation and control method of forestry seedling. Sichuan For. Sci. Technol. 2004, 25, 78–80. [Google Scholar] [CrossRef]
- Chen, J.; Lv, Z.; Guo, M. Research advancement of Apostichopus japonicus from 2000 to 2021. Front. Mar. Sci. 2022, 9, 931903. [Google Scholar] [CrossRef]
- Shi, C.; Lin, C.; Junrong, T.; Nianhui, C.; Yulan, X.; Jian, H. Biomass allocation and allometric growth of different grades of Pinus yunnanensis seedlings. J. Sichuan Agric. Univ. 2023, 41, 209–216+256. [Google Scholar] [CrossRef]
- Zhang, Y.; Shi, Y.; Choi, S.; Ni, X.; Myneni, R.B. Mapping Maximum Tree Height of the Great Khingan Mountain, Inner Mongolia Using the Allometric Scaling and Resource Limitations Model. Forests 2019, 10, 380. [Google Scholar] [CrossRef]
- Nijhout, H.F.; McKenna, K.Z. Allometry, Scaling, and Ontogeny of Form-An Introduction to the Symposium. Integr. Comp. Biol. 2019, 59, 1275–1280. [Google Scholar] [CrossRef] [PubMed]
- McMahon, T.A.; Kronauer, R.E. Tree structures: Deducing the principle of mechanical design. J. Theor. Biol. 1976, 59, 443–466. [Google Scholar] [CrossRef] [PubMed]
- Li, F.H.; Zeng, J.F.; Gui, W.D.; Liu, Z.; An, G.X.; Zhang, L.G.; Song, C.; Gao, H.H. Characteristics of Biomass Allocation and Root Distribution of Halogeton glomeratus under Different Rainfall Conditions. Adv. Mater. Res. 2012, 1793, 5000–5007. [Google Scholar] [CrossRef]
- Yu, J.Y.; Liu, Y.; Wang, L.; Sun, S.J.; Shi, Y.; He, J.H. Changes of allometric relationships among leaf traits in different ontogenetic stages ofAcer monofrom different types of forests in Donglingshan of Beijing. Acta Ecol. Sin. 2013, 33, 3907–3915. [Google Scholar] [CrossRef]
- Headlee, L.W.; Zalesny, S.R. Allometric Relationships for Aboveground Woody Biomass Differ Among Hybrid Poplar Genomic Groups and Clones in the North-Central USA. BioEnergy Res. 2019, 12, 966–976. [Google Scholar] [CrossRef]
- Dan, W.; Jiangfei, L.; Yaqi, L.; Tingyu, Y.; Shi, C.; Yulan, X.; Nianhui, C. Allometric growth and its phenotypic plasticity of Pinus yunnanensis at different seedling ages. Acta Cent. South Univ. For. Technol. 2022, 42, 36–44. [Google Scholar] [CrossRef]
- Marchetti, U.G.; Bianchi, F.; Ciaschetti, R. Phenotypic plasticity of two invasive alien plant species inside a deciduous forest in a strict nature reserve in Italy. J. Sustain. For. 2020, 39, 346–364. [Google Scholar] [CrossRef]
- Wang, P.; Zhou, C.; Yang, B.; Li, J.; Xu, Y.; Cai, N. Allometric Growth of Annual Pinus yunnanensis After Decapitation Under Different Shading Levels. Plants 2025, 14, 2251. [Google Scholar] [CrossRef] [PubMed]
- Qibo, W.; Tingyu, Y.; Yu, W.; Yaqi, L.; Dan, W.; Shi, C.; Lin, C.; Junrong, T.; Nianhui, C.; Yulan, X. Gradeification and allometric growth of annual Pinus yunnanensis seedlings from different provenances. Acta Cent. South Univ. For. Technol. 2022, 42, 102–110. [Google Scholar] [CrossRef]
- LY/T 1950-2011; Fast-Growing and High-Yielding Plantation of Pinus yunnanensis. National Forestry and Grassland Administration: Beijing, China, 2011.
- Zhu, L.; Lin, C.; Huang CXiong, D.; Huang, J.; Chen, G. Root estimation accuracy and sampling representativeness in relation to sample size in a subtropical evergreen broad-leaved forest: Comparison between soil core and minirhizotron method. New For. 2022, 53, 661–678. [Google Scholar] [CrossRef]
- Enquist, B.J.; Niklas, K.J. Global Allocation Rules for Patterns of Biomass Partitioning in Seed Plants. Science 2002, 295, 1517–1520. [Google Scholar] [CrossRef] [PubMed]
- Falster, D.S.; Warton, D.I.; Wright, I.J. User’s Guide to SMATR: Standardised Major Axis Tests & Routines, 2nd ed.; Macquarie University: Sydney, Australia, 2006; Available online: http://www.bio.mq.edu.au/ecology/SMATR/ (accessed on 25 May 2020).
- Campo, D.D.A.; Cerrillo, N.M.R.; Hermoso, J.; Ibáñez, J.A. Relationships between site and stock quality in Pinus halepensis Mill. reforestation on semiarid landscapes in eastern Spain. Ann. For. Sci. 2007, 64, 719–731. [Google Scholar] [CrossRef]
- Bantis, F.; Koukounaras, A.; Siomos, A.S.; Dangitsis, C. Impact of Scion and Rootstock Seedling Quality Selection on the Vigor of Watermelon–Interspecific Squash Grafted Seedlings. Agriculture 2020, 10, 326. [Google Scholar] [CrossRef]
- Li, B.; Deng, M.; Pan, Y.; Chen, W.; He, T.; Chen, L.; Zheng, Y.; Rong, J. Response of the root morphological structure of Fokienia hodginsii seedlings to competition from neighboring plants in a heterogeneous nutrient environment. Front. Plant Sci. 2024, 14, 1327322. [Google Scholar] [CrossRef] [PubMed]
- Huanzhang, G.; Yi, Z. Investigation and analysis on the growth ofground-line diameter and height of walnut seedlings in Hubei province. J. Hubei Agric. Univ. 2002, 21, 397–400. [Google Scholar] [CrossRef]
- He, Y.; Tang, J.; Li, Y.; Mu, D.; Chen, S.; Cai, N.; Xu, Y.; Chen, L. Effect of Nitrogen and Phosphorus Addition on Growth Rhythm of Pinus yunnanensis Seedlings. J. Yunnan Agric. Univ. (Nat. Sci.) 2023, 38, 465–475. [Google Scholar]
- Luo, Y.; Sun, Q.; Cai, N.; Zhou, L.; Chen, S.; Wang, D.; Xu, Y.; Li, Y. Growth Rhythm Analysis on Annual Planting Seedlings of Pinus yunnanensis from Different Provenances. J. Southwest For. Univ. 2016, 36, 23–29. [Google Scholar]
- Lian, C.; Feng, W.; Tang, Z.; Gao, H.; Chen, C.; Wang, Q.; Du, H.; Li, K.; Hu, Z.; He, S. Wood-Derived High-Mass-Loading MnO2 Composite Carbon Electrode Enabling High Energy Density and High-Rate Supercapacitor. Small (Weinh. Bergstr. Ger.) 2022, 18, e2201307. [Google Scholar] [CrossRef] [PubMed]
- “Stories About Kunming” Depicts Colorful Scenery of the Spring City Kunming. M2 Presswire. 2019. Available online: https://www.accessnewswire.com/newsroom/en/travel/stories-about-kunming-depicts-colorful-scenery-of-the-spring-city-kunming-533878 (accessed on 31 October 2025).
- Yugui, H. Nutrient status of tobacco-planting soil in Kunming and its fertilization countermeasures. Seed Technol. 2024, 42, 145–147. [Google Scholar] [CrossRef]
- Takashi, K.; Oka, T. Regulation of Ethylene- and Senescence-related Genes in Pot Carnation Flowers during Flower Senescence. Hortic. J. 2016, 85, 254–263. [Google Scholar] [CrossRef]
- Asigbaase, M.; Dawoe, E.; Abugre, S.; Kyereh, B.; Ayine Nsor, C. Allometric relationships between stem diameter, height and crown area of associated trees of cocoa agroforests of Ghana. Sci. Rep. 2023, 13, 14897. [Google Scholar] [CrossRef] [PubMed]
- Namkoong, G.; Kang, H.C.; Brouard, J.S. Tree Breeding: Principles and Strategies: Principles and Strategies, 1st ed.; Springer: New York, NY, USA, 1988. [Google Scholar] [CrossRef]
- Li, X.; Li, K.; Duan, A.; Cui, K.; Gao, C. Biomass allocation and allometry of Pinus yunnanensis seedlings from different provenances. J. Beijing For. Univ. 2019, 41, 41–50. [Google Scholar] [CrossRef]
- Wang, Y.H.; Zheng, S.; Yang WMZhou, R.Y.; He, Q.F.; Radjenovic, P.; Dong, J.C.; Li, S.; Zheng, J.X.; Yang, Z.L. In situ Raman spectroscopy reveals the structure and dissociation of interfacial water. Nature 2021, 600, 81–85. [Google Scholar] [CrossRef] [PubMed]
- Xi, B.; Di, N.; Bloomberg, M.; Moltchanova, E. Sample size estimation for achieving the desired uncertainty for estimates of tree fine root trait parameters. Trees 2021, 35, 347–356. [Google Scholar] [CrossRef]
- Yang, G.; Huang, L.; Shi, Y. Magnitude and determinants of plant root hydraulic redistribution: A global synthesis analysis. Front. Plant Sci. 2022, 13, 918585. [Google Scholar] [CrossRef] [PubMed]
- Zheng, X.; Yu, Z.; Shi, Y.; Liang, P. Differences in Water Consumption of Wheat Varieties Are Affected by Root Morphology Characteristics and Post-anthesis Root Senescence. Front. Plant Sci. 2022, 12, 814658. [Google Scholar] [CrossRef] [PubMed]
- Bauerle, T.L.; Richards, J.H.; Smart, D.R.; Eissenstat, D.M. Importance of internal hydraulic redistribution for prolonging the lifespan of roots in dry soil. Plant Cell Environ. 2008, 31, 177–186. [Google Scholar] [CrossRef] [PubMed]
- Domec, J.C.; Warren, J.M.; Meinzer, F.C.; Brooks, J.R.; Coulombe, R. Native root xylem embolism and stomatal closure in stands of Douglas-fir and ponderosa pine: Mitigation by hydraulic redistribution. Oecologia 2004, 141, 7–16. [Google Scholar] [CrossRef] [PubMed]
- Giongo, A.; Medina-Silva, R.; Astarita, L.V.; Borges, L.G.d.A.; Oliveira, R.R.; Simão, T.L.L.; Gano, K.A.; Davis-Richardson, A.G.; Brown, C.T.; Fagen, J.R.; et al. Seasonal Physiological Parameters and Phytotelmata Bacterial Diversity of Two Bromeliad Species (Aechmea gamosepala and Vriesea platynema) from the Atlantic Forest of Southern Brazil. Diversity 2019, 11, 111. [Google Scholar] [CrossRef]
- Miguez-Macho, G.; Fan, Y. Spatiotemporal origin of soil water taken up by vegetation. Nature 2021, 598, 624–628. [Google Scholar] [CrossRef] [PubMed]
- Simunek, J. Modeling compensated root water and nutrient uptake. Ecol. Model. 2009, 220, 505–521. [Google Scholar] [CrossRef]
- Li, T.; Zhu, T.; Liu, Z.; Yang, N.; Wang, Z.; Yang, T.; Gao, K. Evaluation of Cold Resistance in Alfalfa Varieties Based on Root Traits and Winter Survival in Horqin Sandy Land. Biology 2024, 13, 1042. [Google Scholar] [CrossRef] [PubMed]
- Wu, T.H.; McMahon, W.P., III; Swanston, D.N. Strength of tree roots and landslides on Prince of Wales Island, Alaska. Can. Geotech. J. 1979, 16, 19–33. [Google Scholar] [CrossRef]
- Drescher, L.G.; Silva, D.S.L.; Sarfaraz, Q.; Roberts, L.T.; Nicoloso, T.F.; Schwalbert, R.; Marques, R.C.A. Available Nitrogen in Paddy Soils Depth: Influence on Rice Root Morphology and Plant Nutrition. J. Soil Sci. Plant Nutr. 2020, 20, 1029–1041. [Google Scholar] [CrossRef]
- Le, G.; Liu, Y.; Zuo, Z.; Tuya, W.; Wang, Z. Principal component analysis of main mechanical factors of soil reinforcement by root system. J. Nat. Inn. Mong. Agric. Univ. Sci. 2015, 36, 39–47. [Google Scholar] [CrossRef]
- Li, J.; Wang, X.; Jia HLiu, Y.; Zhao, Y.; Shi, C.; Zhang, F. Effect of herbaceous plant root density on slope stability in a shallow landslide-prone area. Nat. Hazards 2022, 112, 2337–2360. [Google Scholar] [CrossRef]
- Tian, J.; Cao, B.; Ji, J.; Li, C.; Zhu, L.; Ma, N. Biomechanical characteristics of root systems of Hedysarum scoparium and Salix psammophila. Trans. Chin. Soc. Agric. Eng. (Trans. CSAE) 2014, 30, 192–198. [Google Scholar] [CrossRef]
- Liu, J.L.; Wang, Y.G.; Yang, X.H.; Wang, B.F. Genetic variation in seed and seedling traits of six Haloxylon ammodendron shrub provenances in desert areas of China. Agroforest Syst. 2011, 81, 135–146. [Google Scholar] [CrossRef]
- Passardi, S.; Cherubini, P.; Buckley, M.B.; Cahn, L.N.; Gärtner, H. Monsoon climatic signal is stronger in wood anatomical traits than in ring widths of Fokienia hodginsii in central Vietnam. Dendrochronologia 2025, 92, 126381. [Google Scholar] [CrossRef]
- Jia, Z.; Liu, Y.; Gruber, B.D.; Neumann, K.; Kilian, B.; Graner, A.; von Wirén, N. Genetic Dissection of Root System Architectural Traits in Spring Barley. Front. Plant Sci. 2019, 10, 400. [Google Scholar] [CrossRef] [PubMed]
- Liu, Y.; Jing, H.; Wu, J. Non-structural carbohydrate (NSC) content and C:N:P stoichiometry of Pinus yunnanensis seedling needles in response to shade treatment. Ind. Crops Prod. 2024, 210, 210118138. [Google Scholar] [CrossRef]
- Mashamaite, K.P.; Tada, O. Phenotypic plasticity in trait performance of common dairy goat breeds under diverse environments: A systematic review. Front. Anim. Sci. 2025, 6, 1640241. [Google Scholar] [CrossRef]
- de Kroon, H.; Schieving, F. Resource Allocation Patterns as a Function of Clonal Morphology: A General Model Applied to a Foraging Clonal Plant. J. Ecol. 1991, 79, 519–530. [Google Scholar] [CrossRef]
- Qianqian, G.; Wenting, G.; Yuda, L.; Jing, L.; Guohua, W. Dynamic changes in soil moisture in three typical landscapes of the Heihe River Basin. Front. Environ. Sci. 2022, 10, 1049883. [Google Scholar] [CrossRef]
- Guo, W.; Li, B.; Zhang, X.; Wang, R. Architectural plasticity and growth responses of Hippophae rhamnoides and Caragana intermedia seedling to simulated water stress. J. Arid. Environ. 2007, 69, 385–399. [Google Scholar] [CrossRef]
- Liu, X.; Li, M.; Zhang, H.; Jiao, J.; Guo, X.; Yang, J.; Liu, C.; Guo, S.; Sun, Y.; Guo, W.; et al. Phenotypic plasticity in wild Camellia japonica across climatic zones: Responses to variations in soil moisture and light intensity. BMC Plant Biol. 2025, 25, 1179. [Google Scholar] [CrossRef] [PubMed]
- Wang, L.; Hasnain, M.; Tang, Z.; Kobayashi, M. Soil water availability alters plant-soil feedback effects on invasive plant growth and foliar herbivory. J. Plant Ecol. 2025, 18, rtaf044. [Google Scholar] [CrossRef]
- Song, W.F.S.; Li, S.E. Temperature and population density: Interactional effects of environmental factors on phenotypic plasticity, immune defenses, and disease resistance in an insect pest. Ecol. Evol. 2016, 6, 3672–3683. [Google Scholar] [CrossRef] [PubMed]
- Alvarez, J.A.; Cortizo, S.C.; Gyenge, J.E. Yield stability and phenotypic plasticity of Populus spp. clones growing in environmental gradients: I-yield stability under field conditions. For. Ecol. Manag. 2020, 463, 117995. [Google Scholar] [CrossRef]
- Yoshida, T.; Kamitani, T. Interspecific competition among three canopy-tree species in a mixed-species even-aged forest of central Japan. For. Ecol. Manag. 2000, 137, 221–230. [Google Scholar] [CrossRef]
- Zhang, X.; Ding, F.; Peng, T.; Zhang, Y.; Zhang, M. Effects of soil moisture variation on competition among co-existing species in old-field communities of the Loess Hilly Region. Acta Ecol. Sin. 2019, 39, 957–968. [Google Scholar] [CrossRef]
- Kyogoku, D.; Kondoh, M.; Sota, T. Does past evolutionary history under different mating regimes influence the demographic dynamics of interspecific competition? Ecol. Evol. 2019, 9, 8616–8624. [Google Scholar] [CrossRef] [PubMed]
- Hautier, Y.; Hector, A. Competition for Light Causes Plant Biodiversity Loss After Eutrophication. Science 2009, 324, 636–638. [Google Scholar] [CrossRef] [PubMed]
- Bartold, M.; Wróblewski, K.; Kluczek, M.; Dąbrowska-Zielińska, K.; Goliński, P. Examining the Sensitivity of Satellite-Derived Vegetation Indices to Plant Drought Stress in Grasslands in Poland. Plants 2024, 13, 2319. [Google Scholar] [CrossRef] [PubMed]
- Ecology Research; Investigators from Aarhus University Report New Data on Ecology Research (Inclusive Fitness, Asymmetric Competition and Kin Selection in Plants). Ecology Environment & Conservation. 2019. Available online: https://pure.au.dk/portal/en/publications/inclusive-fitness-asymmetric-competition-and-kin-selection-in-pla/ (accessed on 4 February 2026).







| Date | Grade | n | R2 | Slope | Intercepts | p | Type |
|---|---|---|---|---|---|---|---|
| September 2022 | I | 468 | 0.201 | 0.4337 | 0.7289 | 0.000 | A |
| II | 569 | 0.059 | 0.2372 | 0.6741 | 0.000 | A | |
| III | 411 | 0.012 | 0.5309 | 0.4946 | 0.000 | A | |
| October 2022 | I | 468 | 0.195 | 0.4749 | 0.6967 | 0.000 | A |
| II | 569 | 0.142 | 0.3469 | 0.6572 | 0.000 | A | |
| III | 411 | 0.066 | 0.6264 | 0.4950 | 0.000 | A | |
| November 2022 | I | 468 | 0.218 | 0.4591 | 0.6773 | 0.000 | A |
| II | 569 | 0.261 | 0.3301 | 0.6720 | 0.000 | A | |
| III | 411 | 0.181 | 0.4548 | 0.5744 | 0.000 | A | |
| December 2022 | I | 468 | 0.243 | 0.4634 | 0.6657 | 0.000 | A |
| II | 569 | 0.253 | 0.3107 | 0.6838 | 0.000 | A | |
| III | 411 | 0.167 | 0.4335 | 0.5883 | 0.000 | A | |
| February 2023 | I | 468 | 0.139 | 0.4723 | 0.5406 | 0.000 | A |
| II | 569 | 0.322 | 0.3467 | 0.6417 | 0.000 | A | |
| III | 411 | 0.271 | 0.6261 | 0.5794 | 0.000 | A | |
| March 2023 | I | 468 | 0.181 | 0.4877 | 0.6132 | 0.000 | A |
| II | 569 | 0.315 | 0.3657 | 0.6557 | 0.000 | A | |
| III | 411 | 0.263 | 0.4181 | 0.6069 | 0.000 | A | |
| April 2023 | I | 468 | 0.175 | 0.5446 | 0.5628 | 0.000 | A |
| II | 569 | 0.301 | 0.4077 | 0.6277 | 0.000 | A | |
| III | 411 | 0.274 | 0.4623 | 0.5757 | 0.000 | A | |
| May 2023 | I | 468 | 0.149 | 0.5871 | 0.5258 | 0.000 | A |
| II | 569 | 0.139 | 0.5057 | 0.5533 | 0.000 | A | |
| III | 411 | 0.243 | 0.4617 | 0.5710 | 0.000 | A | |
| June 2023 | I | 468 | 0.121 | 0.6223 | 0.4902 | 0.000 | A |
| II | 569 | 0.247 | 0.4415 | 0.5869 | 0.000 | A | |
| III | 411 | 0.209 | 0.4394 | 0.5698 | 0.000 | A | |
| July 2023 | I | 468 | 0.100 | 0.6831 | 0.4017 | 0.000 | A |
| II | 569 | 0.173 | 0.4511 | 0.5566 | 0.000 | A | |
| III | 411 | 0.147 | 0.4212 | 0.5614 | 0.000 | A | |
| August 2023 | I | 468 | 0.079 | 0.6914 | 0.3650 | 0.000 | A |
| II | 569 | 0.152 | 0.4541 | 0.5486 | 0.000 | A | |
| III | 411 | 0.128 | 0.4097 | 0.5794 | 0.000 | A | |
| September 2023 | I | 468 | 0.055 | 0.6611 | 0.3954 | 0.000 | A |
| II | 569 | 0.126 | 0.4752 | 0.5309 | 0.000 | A | |
| III | 411 | 0.081 | 0.3524 | 0.6352 | 0.000 | A | |
| October 2023 | I | 468 | 0.042 | 0.7394 | 0.2870 | 0.000 | A |
| II | 569 | 0.082 | 0.4882 | 0.4972 | 0.000 | A | |
| III | 411 | 0.067 | 0.4096 | 0.5586 | 0.000 | A | |
| November 2023 | I | 468 | 0.026 | 0.7441 | 0.2688 | 0.000 | A |
| II | 569 | 0.069 | 0.4695 | 0.5095 | 0.000 | A | |
| III | 411 | 0.082 | 0.4131 | 0.5522 | 0.000 | A | |
| December 2023 | I | 468 | 0.031 | 0.7250 | 0.2887 | 0.000 | A |
| II | 569 | 0.084 | 0.4719 | 0.5140 | 0.000 | A | |
| III | 411 | 0.031 | 0.3958 | 0.5833 | 0.000 | A |
| Date | Grade | n | R2 | Slope | Intercepts | p | Type |
|---|---|---|---|---|---|---|---|
| September 2022 | I | 9 | 0.068 | 2.849 | 3.115 | 0.011 | A |
| II | 9 | 0.000 | 1.331 | 2.582 | 0.468 | I | |
| III | 9 | 0.043 | 1.838 | 2.537 | 0.124 | I | |
| December 2022 | I | 9 | 0.015 | 9.907 | 2.906 | 0.000 | A |
| II | 9 | 0.080 | 2.625 | 2.327 | 0.017 | A | |
| III | 9 | 0.011 | −1.955 | 2.081 | 0.096 | I | |
| March 2023 | I | 9 | 0.371 | 1.209 | 2.983 | 0.545 | I |
| II | 9 | 0.062 | 2.494 | 3.025 | 0.024 | A | |
| III | 9 | 0.309 | −1.227 | 2.199 | 0.533 | I | |
| June 2023 | I | 9 | 0.431 | −3.225 | 2.959 | 0.001 | A |
| II | 9 | 0.008 | 2.182 | 3.265 | 0.056 | I | |
| III | 9 | 0.390 | −2.218 | 2.383 | 0.020 | A | |
| September 2023 | I | 9 | 0.000 | 4.847 | 4.296 | 0.000 | A |
| II | 9 | 0.036 | 3.058 | 3.225 | 0.008 | A | |
| III | 9 | 0.698 | 2.729 | 2.959 | 0.001 | A | |
| December 2023 | I | 9 | 0.078 | −5.798 | 3.179 | 0.000 | A |
| II | 9 | 0.368 | −3.119 | 2.977 | 0.002 | A | |
| III | 9 | 0.325 | −2.610 | 2.604 | 0.009 | A |
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Wang, P.; Lu, Z.; Xu, Y.; Cai, N. Allometric Growth Patterns and Phenotypic Plasticity Indices of Different Grades of Annual Pinus yunnanensis Franch. Seedlings at Different Growth Stages. Biology 2026, 15, 1008. https://doi.org/10.3390/biology15131008
Wang P, Lu Z, Xu Y, Cai N. Allometric Growth Patterns and Phenotypic Plasticity Indices of Different Grades of Annual Pinus yunnanensis Franch. Seedlings at Different Growth Stages. Biology. 2026; 15(13):1008. https://doi.org/10.3390/biology15131008
Chicago/Turabian StyleWang, Pengrui, Zhuangyue Lu, Yulan Xu, and Nianhui Cai. 2026. "Allometric Growth Patterns and Phenotypic Plasticity Indices of Different Grades of Annual Pinus yunnanensis Franch. Seedlings at Different Growth Stages" Biology 15, no. 13: 1008. https://doi.org/10.3390/biology15131008
APA StyleWang, P., Lu, Z., Xu, Y., & Cai, N. (2026). Allometric Growth Patterns and Phenotypic Plasticity Indices of Different Grades of Annual Pinus yunnanensis Franch. Seedlings at Different Growth Stages. Biology, 15(13), 1008. https://doi.org/10.3390/biology15131008

