References
- Boyes D.C., Zayed A.M., Ascenzi R., McCaskill A.J., Hoffman N.E., Davis K.R., Görlach J. 2001. Growth stage-based phenotypic analysis of Arabidopsis: a model for high throughput functional genomics in plants. Plant Cell 13(7): 1499–1510. DOI: 10.1105/tpc.010011.
- Cookson S.J., Van Lijsebettens M., Granier C. 2005. Correlation between leaf growth variables suggest intrinsic and early controls of leaf size in Arabidopsis thaliana. Plant, Cell and Environment 28(11): 1355–1366. DOI: 10.1111/j.1365-3040.2005.01368.x.
- Cookson S.J., Granier C. 2006. A dynamic analysis of the shade-induced plasticity in Arabidopsis thaliana rosette leaf development reveals new components of the shade-adaptative response. Annals of Botany 97(3): 443–452. DOI: 10.1093/aob/mcj047.
- Cookson S.J., Turc O., Massonnet C., Granier C. 2010. Phenotyping the development of leaf area in Arabidopsis thaliana. In: Hennig L., Köhler C. (Eds.), Plant Developmental Biology. Methods in Molecular Biology 655: 89–103. DOI: 10.1007/978-1-60761-765-5_7.
- Crawford A.J., McLachlan D.H., Hetherington A.M., Franklin K.A. 2012. High temperature exposure increases plant cooling capacity. Current Biology 22(10): 396–397. DOI: 10.1016/j.cub.2012.03.044.
- Fahlgren N., Feldman M., Gehan M.A., Wilson M.S., Shyu C., Bryant D.W. et al. 2015. A versatile phenotyping system and analytics platform reveals diverse temporal responses to water availability in Seteria. Molecular Plant 8(10): 1520–1535. DOI: 10.1016/j.molp.2015.06.005.
- Ge Y., Bai G., Stoerger V., Schnable J.C. 2016. Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral imaging. Computers and Electronics in Agriculture 127: 625–632. DOI: 10.1016/j.compag.2016.07.028.
- Gonzalez N., de Bodt S., Sulpice R., Jikumaru Y., Chae E., Dhondt S. et al. 2010. Increased leaf size: Different means to an end. Plant Physiology 153(3): 1261–1279. DOI: 10.1104/pp.110.156018.
- Gonzalez N., Vanhaeren H., Inzé D. 2012. Leaf size control: complex coordination of cell division and expansion. Trends in Plant Science 17(6): 332–340. DOI: 10.1016/j.tplants.2012.02.003.
- Gratani L. 2014. Plant phenotypic plasticity in response to environmental factors. Advances in Botany 2014; 208747; 17 p. DOI: 10.1155/2014/208747.
- Hu Q., Guo Z., Li C., Ma L. 2008. Advance at phenotypic plasticity in plant responses to abiotic factors. Scientia Silvae Sinicae 44(5): 135–142. DOI: 10.11707/j.1001-7488.20080525. [in Chinese with English abstract]
- Jiao X., Zhang H., Zheng J., Yin Y., Wang G., Chen Y. et al. 2018. Comparative analysis of nonlinear growth curve models for Arabidopsis thaliana rosette leaves. Acta Physiologiae Plantarum 40(6); 114; 8 p. DOI: 10.1007/s11738-018-2686-8.
- de Jong M., Leyser O. 2012. Developmental plasticity in plants. Cold Spring Harbor Symposia on Quantitative Biology 77: 63–73. DOI: 10.1101/sqb.2012.77.014720.
- Karadavut U., Palta Ç., Kökten K., Bakođlu A. 2010. Comparative study on some non-linear growth models for describing leaf growth of maize. International Journal of Agriculture and Biology 12(2): 227–230.
- Ke Q.H. 2014. Arabidopsis phenotype detection based on computer vision system. M.Sc. Thesis, Beijing Forestry University. [in Chinese]
- Liang Z., Pandey P., Stoerger V., Xu Y., Qiu Y., Ge Y., Schnable J.C. 2018. Conventional and hyperspectral time-series imaging of maize lines widely used in field trials. GigaScience 7(2); gix117; 11 p. DOI: 10.1093/gigascience/gix117.
- Minervini M., Abdelsamea M.M., Tsaftaris S.A. 2014. Image-based plant phenotyping with incremental learning and active contours. Ecological Informatics 23: 35–48. DOI: 10.1016/j.ecoinf.2013.07.004.
- Mishra Y., Jänkänpää H.J., Kiss A.Z., Funk C., Schröder W.P., Jansson S. 2012. Arabidopsis plants grown in the field and climate chambers significantly differ in leaf morphology and photosystem components. BMC Plant Biology 12; 6; 18 p. DOI: 10.1186/1471-2229-12-6.
- Orgogozo V., Morizot B., Martin A. 2015. The differential view of genotype–phenotype relationships. Frontiers in Genetics 6; 179; 14 p. DOI: 10.3389/fgene.2015.00179.
- Pauli D., Chapman S.C., Bart R., Topp C.N., Lawrence-Dill C.J., Poland J., Gore M.A. 2016. The quest for understanding phenotypic variation via integrated approaches in the field environment. Plant Physiology 172(2): 622–634. DOI: 10.1104/pp.16.00592.
- Rahaman M.M., Chen D., Gillani Z., Klukas C., Chen M. 2015. Advanced phenotyping and phenotype data analysis for the study of plant growth and development. Frontiers in Plant Science 6; 619; 15 p. DOI: 10.3389/fpls.2015.00619.
- Rodriguez R.E., Debernardi J.M., Palatnik J.F. 2014. Morphogenesis of simple leaves: regulation of leaf size and shape. WIREs Developmental Biology 3(1): 41–57. DOI: 10.1002/wdev.115.
- Scharr H., Minervini M., French A.P., Klukas C., Kramer D.M., Liu X. et al. 2016. Leaf segmentation in plant phenotyping: a collation study. Machine Vision and Applications 27(4): 585–606. DOI: 10.1007/s00138-015-0737-3.
- Wang S., Zhou D.-W.. 2021. Developmental stability, canalization and phenotypic plasticity in annual herbaceous species under different biotic and abiotic conditions. DOI: 10.21203/rs.3.rs-277009/v1.
- Weraduwage S.M., Chen J., Anozie F.C., Morales A., Weise S.E., Sharkey T.D. 2015. The relationship between leaf area growth and biomass accumulation in Arabidopsis thaliana. Frontiers in Plant Science 6; 167; 21 p. DOI: 10.3389/fpls.2015.00167.
- Xu F., Guo W., Xu W., Wei Y., Wang R. 2009. Leaf morphology correlates with water and light availability: What consequences for simple and compound leaves? Progress in Natural Science 19(12): 1789–1798. DOI: 10.1016/j.pnsc.2009.10.001.