Model of soybean variety for foreststeppe conditions of Ukraine
Improve the model of very early ripening soybean variety and determine the peculiarities of the influence of the cultivation conditions on the formation of the major components of its productivity. Theoretical components of the modern variety model.
| Рубрика | Сельское, лесное хозяйство и землепользование |
| Вид | статья |
| Язык | английский |
| Дата добавления | 16.06.2024 |
| Размер файла | 2,3 M |
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Table 4
Results of qualification expertise of the variety Akvamaryn for suitability for speading in Ukraine (according to UIPVE)
|
Variety, standard |
Year |
Productivityt t/ha |
Vegetation period, days |
Weight of 1000 seeds, g |
Height of plant, cm |
Height attachment of the lower bean, cm |
Grain quality, % |
||
|
Protein |
Fat |
||||||||
|
Polissia |
|||||||||
|
st. |
2013 |
1.70 |
119.1 |
126.8 |
65.3 |
12.4 |
|||
|
Akvamaryn |
2013 |
1.76 |
135.0 |
157.5 |
68.5 |
11.2 |
40.9 |
20.2 |
|
|
st. |
2014 |
2.17 |
114.3 |
150.9 |
84.6 |
14.2 |
|||
|
Akvamaryn |
2014 |
2.34 |
123.3 |
148.2 |
74.0 |
12.4 |
40.0 |
20.0 |
|
|
Forest-steppe |
|||||||||
|
st. |
2013 |
2.19 |
102.6 |
138.1 |
71.4 |
12.5 |
|||
|
Akvamaryn |
2013 |
2.23 |
112.9 |
166.8 |
62.6 |
12.0 |
41.5 |
19.8 |
|
|
st. |
2014 |
2.24 |
106.8 |
141.8 |
71.4 |
10.9 |
|||
|
Akvamaryn |
2014 |
2.37 |
115.1 |
162.2 |
65.6 |
12.0 |
38.4 |
22.1 |
|
|
Ste |
l'I'e |
||||||||
|
st. |
2013 |
2.05 |
96.0 |
127.3 |
76.0 |
9.6 |
|||
|
Akvamaryn |
2013 |
1.63 |
97.3 |
146.7 |
66.5 |
10.0 |
40.5 |
20.8 |
|
|
st. |
2014 |
1.70 |
106.2 |
143.2 |
70.7 |
11.5 |
|||
|
Akvamaryn |
2014 |
1.65 |
108.3 |
148.8 |
67.0 |
7.3 |
39.7 |
21.7 |
References
Kumakov V. A. (1985). Fiziologicheskoe obosnovanie modeley sortov pshenitsyi. Moskva : Kolos, 270 s.
Vavilov N. I. (1935). Botaniko-geograficheskie osnovyi selektsii. Teoreticheskie osnovyi selektsii rasteniy : pod red. N. I. Vavilova. Moskva-Leningrad : Selhozgiz. T. 1. S. 17-74.
Donald C. M. (1968). The breeding of crop ideotypes. Euphytica. Vol.17. P. 385-403.
Foltyn J. (1977). Determination of the quantitative characteristics of wheat and barley ideatype for Central Europe. Sci. agribohemose. Vol. 9. N 1. P. 13-19.
Mamonov L. K. (1979). O predvaritelnoy fiziologicheskoy modeli sorta ozimoy pshenitsyi dlya Severnogo Kazahstana. Povyishenie produktivnosti i ustoychivosti zernovyih kultur. Alma- Ata: Nauka. S. 26-33.
Krupnov V. A. (1981). Problemyi sozdaniya modelnogo sorta. Selektsiya i semenovodstvo. N 9. S. 7-11.
Kumakov V. A. (1988). Analiz fotosinteticheskoy deyatelnosti rasteniy i fiziologicheskoe obosnovanie modeli sorta. Fotosintez i produktsionnyiy protsess. Moskva : Nauka. S. 247-251.
Kumakov V. A. (1975). Nekotoryie problemyi fiziologii v svyazi s selektsiey na produktivnost. Fiziologo-geneticheskie osnovyi povyisheniya produktivnosti zernovyih kultur. Moskva : Kolos. S. 63-70.
Hangildin V. V., Shayahmetov I. F., Mardamshin A. G. (1979). Gomeostaz komponentov urozhaya zerna i predposyilki k sozdaniyu modeli sorta yarovoy pshenitsyi. Geneticheskiy analiz kolichestvennyih priznakov rasteniy. Ufa. S. 5-39.
Volodarskiy N. I., Tsiunovich O. D. (1978). Morfofiziologicheskie osobennosti rasteniy pshenitsyi v svyazi s razrabotkoy modeley vyisokoproduktivnogo sorta. Selskohozyaystvennaya biologiya. T. 13. N 3. S. 323-332.
Foltyin I. (1980). Model sorta (ideotip) pshenitsyi. Mezhdunar. selskohoz. zhurn. N 2. S. 54-57.
Chernuskiy V. V. (2008). Modeli sortiv pelyushki riznih napryamiv vikoristannya. Zbirnik naukovih prats Natsionalnogo naukovogo tsentru «Institut zemlerobstva UAAN». Kiyiv : VD EKMO. V. 3-4. S. 107-113.
Chernuskiy V. V. (2009). Osoblivosti Individualnogo doboru z mistsevih populyatsiy pelyushki : zbir. nauk. pr. Natsionalnogo naukovogo tsentru «Institut zemlerobstva UAAN» Kiyiv : VD EKMO. V. 1-2. S. 214-219.
Meinke H., Boer R. (2002). Plant growth and the SOI. In I. J. Partridge and M. Ma'shum. Will it rain? The effect of the Southern Osciallation and El-Nino in Indonesia. P. 25-28.
Meinke H., and Hochman, Z. (2000). Using seasonal climate forecasting to manage dryland crops in northern Australia-Experiences from the 1997/98 seasons. In G.L. Hammer, N. Nicholls and C. Mitchell (eds.). Application of seasonal climate forecasting in agriculture and natural ecosystem-the Australian Experience. Kluwer Academic Publ. P. 149-166.
Meinke H., Stone R. C., Hammer G. L. (1996). SOI Phase and climatic risk to peanut production: A case study for northern Australia. International Journal of Climatology. 16. P. 783-789.
Vos J. &. Heuvelink E. (2006). Concepts to model growth and development of plants. In Proceedings of the Second International Symposium on Plant Frowth Modeling, Simulation, Visualization and Applications. P. 3-10.
Vos, J., Evers, J.B., Buck-Sorlin, G.H., Andrieu, B., Chelle, M. & de Visser, P.H.B. (2010). Functional-structural plant modelling: a new versatile tool in crop science. Journal of experimental botany. 61(8). P. 2101-2115.
Vos, J., Marcelis, L. F. M. & Evers, J. B. (2007). Functional-Structural plant modelling in crop production: Adding a dimension. In Functional-Structural Plant Modelling in Crop Production. P. 1-12.
Dornbusch, T., Wernecke, P. & Diepenbrock, W. (2007). A method to extract morphological traits of plant organs from 3D point clouds as a database for an architectural plant model. Ecological Modelling. 200(1-2). P. 119-129.
Kurth, W. (1994). Morphological models of plant growth : Possibilities and ecological relevance. Ecological Modelling. 76. P. 299-308.
Kurth W. (2007). Specification of morphological models with L-systems and relational growth grammars. Journal of Interdisciplinary Image Science. 5. P. 25.
Kurth W. (2013). Modelling of Ecosystems by Tools from Computer Science - Introduction to rule-based programming, L-systems and XL. Summer School at Czech University of Life Sciences. Prague, 16-20 September.
Sievanen, R., Nikinmaa, E., Nygren, P. & Ozier- lafontaine, H. (2000). Components of functional-structural tree models. Annals of Forest Science. 57(5- 6). P. 399-412.
Van Der Heijden, G. W. A. M., de Visser, P. H. B. & Heuvelink, E. (2007). Measurements for Functional-Structural crop models. In Functional-Structural Plant Modelling in Crop Production. P. 13-25.
Tardieu, F. (2010). Why work and discuss the basic principles of plant modelling 50 years after the first plant models? Journal of experimental botany. 61(8). P. 2039-2041.
Godin, C. & Caraglio, Y. (1998). A multiscale model of plant topological structures. Journal of theoretical biology. 191(1). P. 1-46.
Godin, C. & Sinoquet, H. (2005). Functional-structural plant modelling. The New phytologist. 166(3). P. 705-708.
Godin, C., Costes, E. & Sinoquet, H. (1999). A Method for Describing Plant Architecture which Integrates Topology and Geometry. Annals of botany. 84. P. 343-357.
De Reffye, P., Hu, B. G. (2003). Relevant Qualitative and Quantitative Choices for Building an Efficient Dynamic Plant Growth Model: GreenLab Case. In International Symposium on Plant Growth Modeling, Simulation, Visualisation and their Applications. P. 87-106.
Jego, G., Pattey, E., Bourgeois, G., Morrison, M. J., Drury, C. F., Tremblay, N. & Tremblay, G. (2010). Calibration and performance evaluation of soybean and spring wheat cultivars using the STICS crop model in Eastern Canada. Field Crops Research. 117(2-3). P. 183-196.
Kumar, A., Pandey, V., Shekh, A. M. & Kumar, M. (2008). Growth and Yield Response of Soybean (Glycine max L.) In Relation to Temperature, Photoperiod and Sunshine Duration at Anand, Gujarat, India. American-Eurasian Journal of Agronomy. 1(2). P. 45-50.
Nafziger, E. (2013). Soybean. In Illinois Agronomy Handbook. P. 27-36.
Buck-Sorlin, G. H., Hemmerling, R., Kniemeyer, O., Burema, B. & Kurth, W. (2008). A rule-based model of barley morphogenesis, with special respect to shading and gibberellic acid signal transduction. Annals of botany. 101(8). P. 1109-1123.
Buck-Sorlin, G. H., Kniemeyer, O. & Kurth, W. (2005). Barley morphology, genetics and hormonal regulation of internode elongation modelled by a relational growth grammar. The New phytologist. 166(3). P. 859-867.
De Jong, T. M., Da Silva, D., Vos, J. & Escobar- Gutierrez, A. J. (2011). Using functional-structural plant models to study, understand and integrate plant development and ecophysiology. Annals of Botany. 108(6). P. 987-989.
Pradal, C., Dufour-Kowalski, S., Boudon, F., Fournier, C. & Godin, C. (2008). Open Alea: a visual programming and component-based software platform for plant modelling. Functional Plant Biology. 35(10). P.751.
Prusinkiewicz, P., Hammel, M., Hanan, J. & Mech, R. (1996). Visual models of plant development. In Handbook of formal languages. P. 67.
Prusinkiewicz, P., Karwowski, R. & Lane, B. (2007). The L+C plant modelling language. In Functional-Structural Plant Modelling in Crop Production. P. 27-42.
Federl, P., Prusinkiewicz, P. (1999). Virtual Laboratory: an Interactive Software Environment for Computer Graphics. In Proceedings of Computer Graphics International. P. 93-100.
Kniemeyer, O., Hemmerling, R. (2008). Relational Growth Grammars - A Parallel Graph Transformation Approach with Applications in Biology and Architecture. In Applications of Graph Transformations with Industrial Relevance. P. 152-167.
Kniemeyer, O. (2008). Design and Implementation of a Graph Grammar Based Language for Functional-Structural Plant Modelling. P. 49-61.
Kniemeyer, O., Buck-Sorlin, G. H., Kurth, W. (2007). GroIMP as a platform for Functional-Structural modelling of plants. In Functional-Structural Plant Modelling in Crop Production. P. 43-52.
Yan, H. P., Kang, M. Z., de Reffye, P., Dingkuhn, M. (2004). A dynamic, architectural plant model simulating resourcedependent growth. Annals of botany. 93(5). P. 591-602.
Kang, M. Z., de Reffye, P. (2007). A mathematical approach estimating source and sink functioning of competing organs. In Functional-Structural Plant Modelling in Crop Production. P. 65-74.
Kang, M. Z., Evers, J. B., Vos, J., de Reffye, P. (2008). The derivation of sink functions of wheat organs using the GREENLAB model. Annals of botany. 101(8). P. 1099-1108.
Christophe, A., Letort, V., Hummel, I., Cournede, P. H., de Reffye, P., Lecoeur, J. (2008). A model-based analysis of the dynamics of carbon balance at the whole-plant level in Arabidopsis thaliana. Functional Plant Biology. 35. P. 1147-1162.
Bilyavska L. G. (2014). Model sortu soyi dlya Poltavschini. Selektsiya ta genetika bobovih kultur : suchasni aspekti ta perspektivi : tezi mizhn. konf. (23-26 chervnya 2014). Odesa. S. 43-46.
Bilyavska L. G. (2016). Model skorostiglogo sortu soyi. Selektsiya, nasinnitstvo ta virobnitstvo soyi : suchasni aspekti ta perspektivi : zb. tez vseukr. nauk.-prakt. Internet-konf. (25-27 zhovtnya 2016 r.). Poltavska derzhavna agrarna akademiya MON Ukrayini. Poltava. S. 15-17.
Bilyavska L. G., Prisyazhnyuk O. I. (2018). Model rannostiglogo sortu soyi. Novitni agrotehnologiyi. N 6. C. 1-15. Rezhim dostupu : http://jna.bio.gov.ua/article/view/165365
Bilyavska L. G., Prisyazhnyuk O. I. (2018). Model duzhe rannostiglogo sortu soyi. Naukovi pratsi Institutu bioenergetichnih kultur i tsukrovih buryakiv : zb. nauk. prats. Kiyiv : FOP Korzun D. Yu. V. 26. S. 126-132.
Al-Shammari, Dhahi & Bishop, Thomas & Wang, Chen & Whelan, Brett & Bramley, Robert. (2022). A comparison between machine learning and simple mechanistic-type models for yield prediction in site-specific crop yield predictions. Available from: https://www.researchgate.net/publication/358487173_A_comparison_bet ween_machine_learning_and_simple_mechanistic-type_models_for_ yield_prediction_in_site-specific_crop_yield_predictions [accessed Aug 17 2022].
Meroni M., Waldner F., Seguini L., Kerdiles H., Rembold F. (2021). Yield forecasting with machine learning and small data: What gains for grains? Agricultural and Forest Meteorology. Vol. 308-309.
Pallavi Kamath, Pallavi Patil, Shrilatha S, Sushma, Sowmya S. (2021). Crop yield forecasting using data mining. Global Transitions Proceedings. Vol. 2(2), 402-407.
Pande, Shilpa. (2020). Towards a Unified Approach for Crop Yield Prediction. International Journal of Emerging Trends in Engineering Research. 8. 3236-3240. 10.30534/ijeter/2020/58872020.
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