Strategic planning of grass forage production in North-West Russia ...

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....

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Main Authors: Valge, A., Sukhoparov, A., Papushin, E.
Format: Article in Journal/Newspaper
Language:English
Published: Agronomy Research 2021
Subjects:
Online Access:https://dx.doi.org/10.15159/ar.21.046
https://dspace.emu.ee/handle/10492/6575
id ftdatacite:10.15159/ar.21.046
record_format openpolar
spelling ftdatacite:10.15159/ar.21.046 2024-04-28T08:32:05+00:00 Strategic planning of grass forage production in North-West Russia ... Valge, A. Sukhoparov, A. Papushin, E. 2021 PDF https://dx.doi.org/10.15159/ar.21.046 https://dspace.emu.ee/handle/10492/6575 en eng Agronomy Research Creative Commons Attribution Non Commercial No Derivatives 4.0 International https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode cc-by-nc-nd-4.0 cereal grass forage harvesting forage quality modelling non-linear programming strategy yes-no decision article article-journal ScholarlyArticle JournalArticle 2021 ftdatacite https://doi.org/10.15159/ar.21.046 2024-04-02T11:43:37Z 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 ... Article in Journal/Newspaper North-West Russia DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic cereal grass
forage harvesting
forage quality
modelling
non-linear programming
strategy
yes-no decision
article
spellingShingle cereal grass
forage harvesting
forage quality
modelling
non-linear programming
strategy
yes-no decision
article
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
article
description 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 ...
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 ...
publisher Agronomy Research
publishDate 2021
url https://dx.doi.org/10.15159/ar.21.046
https://dspace.emu.ee/handle/10492/6575
genre North-West Russia
genre_facet North-West Russia
op_rights Creative Commons Attribution Non Commercial No Derivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
cc-by-nc-nd-4.0
op_doi https://doi.org/10.15159/ar.21.046
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