PRODUCTIVITY OF HAYLAGE MASS OF ANNUAL LEGUM-CEREALS MIXTURES DEPENDING ON THE COMPOSITION AND ELEMENTS OF AGROTECHNOLOGY UNDER CONDITIONS OF CLIMATE CHANGE IN THE CENTRAL NON-BLACK EARTH REGION

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The article presents the results of 7-year studies on the reaction of annual legume-cereal mixtures grown for haylage to changes in meteorological conditions during the period of sowing - mowing maturity, the use of mineral fertilizers and their combination with non-root feeding with biostimulants with microelements. Vetch and pea-cereal mixtures with spring wheat and oats formed the maximum productivity level under excessive moisture (HTC ˃2.5), provided the production of 11-14 t/ha of dry mass with the accumulation of 1.9-2.7 t/ha of crude protein with the energy value of 10.2-10.7 MJ/kg in the variant with pre-sowing application of N30-45 against the background of Р50К75. For lupine-cereal mixtures of various compositions, moisture conditions close to the average long-term values (HTC 1.30) were preferable - the yield of 7.2-8.2 t/ha, the accumulation of crude protein of 0.94-1.16 t/ha with the energy value of 8.9-9.6 MJ/kg were created against a natural nitrogen background with the autumn application of Р60К60. Changes in moisture supply away from the optimum reduced the productivity of legume-cereal mixtures and required an increase in the dose of nitrogen fertilizer to achieve the highest indicators. The effect of a combination of fertilizers and biostimulants on the productivity of lupine-cereal mixtures under near-average perennial moisture conditions (2023-2024, HTC 1.27) was contradictory. It is necessary to continue research under different moisture supply with an expansion of the composition of mixed crops and the range of biostimulants.

Sobre autores

S Timoshenko

FEDERAL STATE BUDGETARY RESEARCH CENTER "NEMCHINOVKA"

FEDERAL STATE BUDGETARY RESEARCH CENTER "NEMCHINOVKA"

V Kononchuk

FGBUN MAIN BOTANICAL GARDEN NAMED AFTER N.V. TSITSIN

FGBUN MAIN BOTANICAL GARDEN NAMED AFTER N.V. TSITSIN

V Shtyrkhunov

FEDERAL STATE BUDGETARY RESEARCH CENTER "NEMCHINOVKA"

FEDERAL STATE BUDGETARY RESEARCH CENTER "NEMCHINOVKA"

V Kirdin

FEDERAL STATE BUDGETARY RESEARCH CENTER "NEMCHINOVKA"

FEDERAL STATE BUDGETARY RESEARCH CENTER "NEMCHINOVKA"

E Tulinova

FEDERAL STATE BUDGETARY RESEARCH CENTER "NEMCHINOVKA"

FEDERAL STATE BUDGETARY RESEARCH CENTER "NEMCHINOVKA"

O Shchuklina

FGBUN MAIN BOTANICAL GARDEN NAMED AFTER N.V. TSITSIN

FGBUN MAIN BOTANICAL GARDEN NAMED AFTER N.V. TSITSIN

P Konorev

FGBUN MAIN BOTANICAL GARDEN NAMED AFTER N.V. TSITSIN

FGBUN MAIN BOTANICAL GARDEN NAMED AFTER N.V. TSITSIN

E Belyaev

LLC «LEBOZOL VOSTOK»

LLC «LEBOZOL VOSTOK»

Bibliografia

  1. IPCC. (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. P. 42.
  2. Павлова В. Н., Сиротенко О.Д. Наблюдаемые изменения климата и динамика продуктивности сельского хозяйства России. // Труды главной геофизической обсерватории имени А.И. Воейкова. - 2012 - № 565 - С. 132-151.
  3. Москалева В.Л., Мельникова О.В. Агроэкологическая роль однолетних бобово-злаковых фитоценозов в системе биологизации земледелия. // Проблемы агрохимиии и экологии. - 2011 - №2 - С. 42-45.
  4. Конончук В.В., Тимошенко С.М., Назарова Т.О., Штырхунов В.Д., Тулинова Е.А., Никиточкин Д.Н., Беляев Е.В. Люпино-злаковые смеси на зерно в Центральном Нечерноземье: погода, элементы агротехнологии, продуктивность // Зернобобовые и крупяные культуры. - 2023. - № 2 (46). - С. 96-106.
  5. Адиньяев Э.Д. и др. Некоторые приемы повышения продуктивности зернобобовых культур // Аграрный вестник Урала. - 2007. - № 6 (42). - С. 61-64.
  6. Ятчук П.В., Зубарева К.Ю., Расулова В.А., Биостимуляторы и микроудобрения, их роль в повышении продуктивности и качества семян гороха. // Зернобобовые и крупяные культуры. - 2020. - № 4 (36). - С. 30-35. doi: 10.24411/2309-348X-2020-11201

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