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Enregistrement W3179090024

The yield of winter wheat depending on sowing terms

2021· article· en· W3179090024 sur OpenAlexaboutno aff
V. Petrychenko, Volodymyr Lykhochvor, O. V. Korniichuk, Yurii Olifir

Notice bibliographique

RevueCyberLeninK (CyberLeninka) · 2021
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueAgriculture and Biological Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSowingAgronomyYield (engineering)Winter wheatSugar beetGerminationField experimentBiologySemis
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

To study the influence of sowing dates of winter wheat of Kubus variety on yield, including late ones after sugar beet. The following sowing dates were investigated: September 1, 10, 20, and 30, October 10 and 20, November 10 and 30, and December 20.  It was found that at later sowing dates, the field germination decreases: in October to 88.0–86.8 %, in November to 84.1–80.4 %, in December to 76.4 %. Plant survival was 84.1–94.2 %. Plant density, productive stems, and tillering coefficient were the highest during sowing on September 30. During sowing in November and December, the plants did not reach the beginning of tillering phase; the coefficient of productive tillering approached one (1.12–1.14). It was found that the number of ears in the ear was stable for all sowing dates (16.6–17.4 pieces), the maximum number of grains in the ear (48 pieces) was recorded during the sowing on September 30. The weight of grain from the ear in all variants was high; during sowing on September 30, October 10, and 20, it was equal to 1.61–1.60 g. In November-December, it decreased up to 1.55 g, 1.52 g, and 1.45 g. The highest grain yield (9.43 t/ha) of winter wheat in the western forest-steppe of Ukraine was formed during sowing on September 30. In November, the yield decreased by 1.31 t/ha and 1.89 t/ha compared to sowing on September 30 and by 2.40 t/ha in December.  The optimal sowing dates of winter wheat of the Kubus variety in the conditions of the western Forest-Steppe fall on the period from September 20 to October 10. In the conditions of global climate changes, the possibility of obtaining 7–8 t/ha of grain during sowing in November-December is substantiated. For a yield of 9 t/ha and above, the following combination of structural elements is optimal: the density of productive stems should be approximately 600 pcs/m2, the weight of grain from the ear – 1.60 g. Keywords: winter wheat, sowing terms, yield structure, yield.   References   Allard, F., Vanasse, A., Pageau, D., Tremblay, G., Durand, J., Vachon, E. (2019) Determination of optimal sowing terms and densities of winter wheat under Quebec growing conditions. Can. J. Plant Sci., 99, 221–231. https://doi.org/10.1139/cjps-2018-0165 Ding, D.Y., Feng, H., Zhao, Y., He, J.Q., Zou, Y.F., Jin, J.M. (2016) Modifying winter wheat sowing terms as an adaptation to climate change on the loess plateau. Agron. J., 108, 53–63. https://doi.org/10.2134/agronj15.0262 Dong, Y., Wei, B., Wang, L., Zhang, Y., Zhang, H., Zhang, Y. (2019) Performance of winter-seeded spring wheat in Inner Mongolia. Agronomy, 9, 507. https://doi.org/10.3390/agronomy9090507 Gandjaeva,  L. (2019) Effect of sowing terms on yield of winter wheat cultivars Grom, Asr and Kuma in Khorezm region. Bulg. J. Agric. Sci., 25(3), 474–479. Havryliuk, M.M., Kalenych, P.Y. (2018) Influence of ecological factors on the yield of new varieties of winter wheat in the conditions of the Southern Forest-Steppe. Bulletin of Agricultural Science. 31, 25-29. https://doi.org/10.31073/agrovisnyk201801-04  (In Ukrainian). Falcone,  G., Stillitano, T., Montemurro, F., De Luca, A.I., Gulisano, G.,  Strano, A. (2019) Environmental and economic assessment of sustainability in Mediterranean wheat production. Agronomy Research, 17(1), 60–76, doi: https://doi.org/10.15159/AR.19.011 Kyrychenko, V.V., Popov, S.I., Kobyzeva, V.P. (2018) Peculiarities of sowing winter crops on farms of Kharkiv region for the 2019 harvest. Kharkiv. Institute of Plant Breeding named after V.Ya. Yuriev NAAS. (In Ukrainian). Liashenko, V.V., Marenych, M.M. (2010) Influence of sowing dates on the productivity of winter wheat crops. Bulletin of the Poltava State Agrarian Academy. 2, 46–50. (In Ukrainian). Madhu, U., Begum, M., Salam, A., Sarkar, S.K. (2018) Influence of sowing date on the growth and yield performance of wheat (Triticum aestivum L.) varieties. Arch. Agr. Environ. Sci. 3(1), 89–94. https://doi.org/10.26832/24566632.2018.0301014 Marenych, M., Kaminsky,  V.F., Bulygin, C.Yu., Hanhur, V.V., Korotkova, I.V., Yurchenko, S.O., Bahan, A.V., Taranenko, S.V., Liashenko, V.V. (2020)  Optimization of factors of managing productive processes of winter wheat in the Forest-Steppe. Agricultural Science and Practice, 7(2), 44–54. https://doi.org/10.15407/agrisp7.02 Oleksiak, T. (2014) Effect of sowing terms on winter wheat yields in Poland. Journal of Central Europen Agriculture, 15(4), 83–89. https://doi.org/10.5513/JCEA01/15.4.1513 Petrychenko, V.F., Lykhochvor, V.V. (2020) Plant growing. New technologies for growing field crops: a textbook. 5th ed., Corrected, supplemented. Lviv. Ukrainian technologies. 806  p. doi: https://doi.org/10.31073/roslynnytstvo5vydannya (In Ukrainian). Polovyi, V.M., Lukashchuk, L.Ya., Huk, L.I. (2018) . Efficiency of intensification of winter wheat growing technology in the Western Forest-Steppe. Bulletin of Agricultural Science, 11, 35–40. https://doi.org/10.31073/agrovisnyk201811-05 (In Ukrainian). Senapati, N., Brown, H.E., Semenov, M.A. (2019) Raising genetic yield potential in high productive countries: Designing wheat ideotypes under climate change. Agric. For. Meteorol., 271, 33–45. https://doi.org/10.1016/j.agrformet.2019.02.025 Shakalii, S.M., Bahan, A.V., Barat, Yu.M. (2020) Influence of sowing dates on yield and grain quality of winter wheat. Scientific reports of NULES of Ukraine. 1(83). http://dx.doi.org/10.31548/dopovidi2020.01.007  (In Ukrainian). Shevchenko, I.A., Poliakov, O.I., Zhuravel, V.M. (2017) Soil preparation and sowing of winter grains and oilseeds in Zaporizhia region in 2017. Zaporizhzhia. IOC NAAS (In Ukrainian). Sokolov, V.M., Bushulian, O.V., Lytvynenko, M.A., Linchevskyi, A.A., Babaiants, O.V. (2018) Recommendations for conducting a set of autumn field works in agricultural formations of Odessa region in 2018. Odesa. Astroprynt (In Ukrainian). Stasiv, O.F., Sedilo, H.M., Konyk, H.S. (2019) Features of technologies for growing winter cereals for the 2020 harvest (autumn complex of works): recommendations. Lviv - Obroshino. Institute of Agriculture of the Carpathian Region NAAS (In Ukrainian). Tkachuk, V.P., Tymoshchuk, T.M. (2020) Influence of sowing dates on winter wheat productivity. Bulletin of Agricultural Science. 3, 38–44. https://doi.org/10.31073/agrovisnyk202003-05 (In Ukrainian). Ulich, O.L. (2018) Trends in sowing dates of soft winter wheat (Triticum aestivum L.) in the southern part of the Right-Bank Forest-Steppe of Ukraine during climate transformation. Bulletin of Agricultural Science. 6, 19–24. https://doi.org/10.31073/agrovisnyk201806-03 (In Ukrainian). Volkohon, V.V., Moskalenko, A.M., Berdnikov, O.M., Yehorov, O.V. (2015) Recommendations for sowing winter crops on farms of Chernihiv region for the 2016 harvest. Chernihiv. Institute of Agricultural Microbiology and Agroindustrial Production of NAAS. 28 p.  (In Ukrainian). Yaroshenko, S.S. (2020) Frost resistance and grain productivity of winter wheat depending on agrotechnical cultivation methods. Zb.nauk. pr. Institute of Grain Crops NAAS Grain crops.  4(1), 64–70. https://doi.org/10.31867/2523-4544/0107  (In Ukrainian).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,026
Tête enseignante GPT0,214
Écart entre enseignants0,188 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2021
Routes d'admission1
Résumé présentoui

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