A Semi-Empirical Model of Winter Wheat Grain Protein Content

A Semi-Empirical Model of Winter Wheat Grain Protein Content

Qian Wang

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Cun-jun Li

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Yuan-fang Huang

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Wu-de Yang

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Wen-jiang Huang

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Ji-hua Wang

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A Semi-Empirical Model of Winter Wheat Grain Protein Content

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Abstract

Winter wheat grain protein content (GPC) is an important criterion for assessing grain quality. A timely and simple GPC model is urgently required for GPC prediction ahead of maturity. The GPC model included regressional models of dry matter and N accumulation and translocation for anthesis and post-anthesis stages, and incorporated both soil nitrogen (N) supply and meterological factors based on historical as well as current season data, final GPC were calculated as the ratio of N accumulation to dry matter in grain at maturity. This study conducted six field experiments during the 2003-2006 and 2008-2011 growing seasons to establish and validate the model. A three-way factorial arrangement of N fertilization, sowing date, and cultivar was conducted using a split-plot design. Critical growth parameters were determined by field measurements, and historical seasonal meteorological data covering the growing period were collected.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Qian Wang. 2026. \u201cA Semi-Empirical Model of Winter Wheat Grain Protein Content\u201d. Global Journal of Science Frontier Research - C: Biological Science GJSFR-C Volume 22 (GJSFR Volume 22 Issue C2): .

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GJSFR Volume 22 Issue C2
Pg. 1- 16

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Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

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GJSFR-C Classification: DDC Code: 363.739460973 LCC Code: TD223

Submission ReceivedSeptember 13, 2022
Peer Review Double Blind
Handling Editor
Accepted September 21, 2022
Published November 1, 2022

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November 15, 2022

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