Strategic planning of grass forage production in North-West Russia
Received: January 31st, 2021 Accepted: April 24th, 2021 Published: May 20th, 2021 Correspondence: papushinea@yandex.ru Energy and nutritional value of harvested forage rely heavily on grass vegetative phase and harvesting time. The study aimed to identify rational forage harvesting options in terms...
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ftestonianunivls:oai:dspace.emu.ee:10492/6575 2024-06-23T07:55:26+00:00 Strategic planning of grass forage production in North-West Russia Valge, A. Sukhoparov, A. Papushin, E. 2021 application/pdf http://hdl.handle.net/10492/6575 https://doi.org/10.15159/ar.21.046 unknown Agronomy Research, 2021, vol. 19, Special Issue 2, pp. 1188–1194 1406-894X http://hdl.handle.net/10492/6575 https://doi.org/10.15159/ar.21.046 Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ cereal grass forage harvesting forage quality modelling non-linear programming strategy yes-no decision articles Article 2021 ftestonianunivls https://doi.org/10.15159/ar.21.046 2024-06-04T10:18:12Z Received: January 31st, 2021 Accepted: April 24th, 2021 Published: May 20th, 2021 Correspondence: papushinea@yandex.ru Energy and nutritional value of harvested forage rely heavily on grass vegetative phase and harvesting time. The study aimed to identify rational forage harvesting options in terms of harvesting time. The data for modelling were taken from the literature based on the results of many years’ research. The mathematical models of variation of grass mass and quality depending on days after emergence were created. The possible options of two-step harvesting of forage grass (cocksfoot, Dactylis glomerata) were considered using mathematical methods of nonlinear programming: (1) obtaining maximum hay mass with maximum feed units from specified area of 400 ha and maximum forage yield at full flowering of 15.0 t ha-1 and (2) identifying the harvesting timing and area to obtain the required amount of hay (2,500 t) with a target nutrient content (1,200 feed units). Problem 1 solution was harvesting 1 scheduled for the 45th day after emergence at full earing on 170 ha; harvesting 2 scheduled for the 69th day after emergence at full flowering on 230 ha. In this case, 2,066.5 t of hay with 947 feed units would be obtained. Problem 2 solution was harvesting 1 scheduled for the 43th day after emergence at middle earing on 250 ha; harvesting 2 scheduled for the 65th day after emergence at early flowering on 156 ha. The created models can be effectively applied for forage harvesting in any grassland area required and in any regions. Article in Journal/Newspaper North-West Russia Estonian University of Life Sciences: DSpace |
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Estonian University of Life Sciences: DSpace |
op_collection_id |
ftestonianunivls |
language |
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topic |
cereal grass forage harvesting forage quality modelling non-linear programming strategy yes-no decision articles |
spellingShingle |
cereal grass forage harvesting forage quality modelling non-linear programming strategy yes-no decision articles Valge, A. Sukhoparov, A. Papushin, E. Strategic planning of grass forage production in North-West Russia |
topic_facet |
cereal grass forage harvesting forage quality modelling non-linear programming strategy yes-no decision articles |
description |
Received: January 31st, 2021 Accepted: April 24th, 2021 Published: May 20th, 2021 Correspondence: papushinea@yandex.ru Energy and nutritional value of harvested forage rely heavily on grass vegetative phase and harvesting time. The study aimed to identify rational forage harvesting options in terms of harvesting time. The data for modelling were taken from the literature based on the results of many years’ research. The mathematical models of variation of grass mass and quality depending on days after emergence were created. The possible options of two-step harvesting of forage grass (cocksfoot, Dactylis glomerata) were considered using mathematical methods of nonlinear programming: (1) obtaining maximum hay mass with maximum feed units from specified area of 400 ha and maximum forage yield at full flowering of 15.0 t ha-1 and (2) identifying the harvesting timing and area to obtain the required amount of hay (2,500 t) with a target nutrient content (1,200 feed units). Problem 1 solution was harvesting 1 scheduled for the 45th day after emergence at full earing on 170 ha; harvesting 2 scheduled for the 69th day after emergence at full flowering on 230 ha. In this case, 2,066.5 t of hay with 947 feed units would be obtained. Problem 2 solution was harvesting 1 scheduled for the 43th day after emergence at middle earing on 250 ha; harvesting 2 scheduled for the 65th day after emergence at early flowering on 156 ha. The created models can be effectively applied for forage harvesting in any grassland area required and in any regions. |
format |
Article in Journal/Newspaper |
author |
Valge, A. Sukhoparov, A. Papushin, E. |
author_facet |
Valge, A. Sukhoparov, A. Papushin, E. |
author_sort |
Valge, A. |
title |
Strategic planning of grass forage production in North-West Russia |
title_short |
Strategic planning of grass forage production in North-West Russia |
title_full |
Strategic planning of grass forage production in North-West Russia |
title_fullStr |
Strategic planning of grass forage production in North-West Russia |
title_full_unstemmed |
Strategic planning of grass forage production in North-West Russia |
title_sort |
strategic planning of grass forage production in north-west russia |
publishDate |
2021 |
url |
http://hdl.handle.net/10492/6575 https://doi.org/10.15159/ar.21.046 |
genre |
North-West Russia |
genre_facet |
North-West Russia |
op_relation |
Agronomy Research, 2021, vol. 19, Special Issue 2, pp. 1188–1194 1406-894X http://hdl.handle.net/10492/6575 https://doi.org/10.15159/ar.21.046 |
op_rights |
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ |
op_doi |
https://doi.org/10.15159/ar.21.046 |
_version_ |
1802648036342497280 |