Author:
Dubytska Anhelina,Kachmar Oksana,Dubytskyi Oleksandr,Vavrynovych Oksana,Kotyk Zynoviy
Abstract
The relative and absolute importance of a number of traits, in particular, agrophysiological, morpho-functional, at the level of individual organs and parts of an integral plant, and/or sowing for the development of features of biological traits, and other agroecologically significant components of the crop production process, has been discussed in research papers for a long time. The purpose of the study was to search for agroecologically significant signs of growth of the upper leaf blades (ULB), which can empirically and potentially determine the development of the grain dry mass (GDM) of winter wheat under “model” conditions of biological agrotechnical influences designated as biological fertiliser systems. Methods used in the research: methodological approaches of field experiments, gravimetric, convective drying, and stochastic methods. The development of GDM was largely driven by potentially scalable integral growth traits of ULB – leaf area duration, biomass duration (LADULB, BMDULB, respectfully) or their combinations with potentially non-scalable features of the average growth rate ULB – net assimilation rate, relative growth rate (NARULB, RGRULB, respectively). It is also highly probable that LADULB may play a central role in the development of RGRULB or BMDULB (but not NARULB). The coordination of RGRULB with NARULB was not excluded, although it was overly complicated. The construction of such and similar studies in the line of an exhaustive explanation of consistent systemic and mechanistic predeterminations of the production process with signs of ULB growth under various agrotechnical and biological influences will improve discursive and mathematical simulation constructs that can characterise and integrate the differential effects of plant components on photosynthesis of leaf cover, crown, and ultimately on the processes of development of components of the final biological and economic yield of winter wheat
Publisher
Scientific Journals Publishing House
Reference52 articles.
1. [1] An, N., Lu, N., Fu, B., Wang, M., & He, N. (2021). Distinct responses of leaf traits to environment and phylogeny between herbaceous and woody angiosperm species in China. Frontiers in Plant Science, 12, article number 799401. doi: 10.3389/fpls.2021.799401.
2. [2] Araus, J.L., Sanchez-Bragado, R., & Vicente, R. (2021). Improving crop yield and resilience through optimization of photosynthesis: panacea or pipe dream? Journal of Experimental Botany, 72(11), 3936-3955. doi: 10.1093/ jxb/erab097.
3. [3] Baayen, R.H., van Rij, J., De Cat, C., & Wood, S. (2018). Autocorrelated errors in experimental data in the language sciences: Some solutions offered by generalized additive mixed models. In D. Speelman, K. Heylen & D. Geeraerts (Eds.) Mixed-effects regression models in linguistics. Cham: Springer. doi: 10.1007/978-3-31969830-4_4.
4. [4] Bhadouria, R., Singh, R., Krishna, M., Tripathi, S., Srivastava, P., & Raghubanshi, A.S. (2023). Seedling responses to herbivory are driven by nutrient enrichment, grass competition and functional attributes. Research Square. doi: 10.21203/rs.3.rs-3507100/v1.
5. [5] Bilal, A., Ahmad, A., Rasul, F., & Murtaza, G. (2019). Optimization of the sowing time for Bt cotton production in Punjab, Pakistan. Pakistan Journal of Agricultural Sciences, 56(1), 95-100. doi: 10.21162/PAKJAS/19.6631.