WHEAT YIELD STABILITY ACROSS YEARS WITH VARYING CLIMATE CONDITIONS Article Swipe

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Kristina Luković , Aleksandra Rakonjac , Veselinka Zečević , Mirela Matković Stojšin , Vera Rajičić , Mirela Matković Stojšin , Kamenko Bratković ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.46793/sbt30.15kl

This paper aimed to investigate the yield stability of 19 wheat winter varieties using the AMMI model. The experiment was carried out in the experimental field of the Center for Small Grains and Rural Development in Kragujevac during a three-year period (2019/2020, 2020/2021, 2021/2022). The Perfekta, and Javorka varieties stood out as the most stable varieties for grain yield. At the same time, the Perfecta variety achieved the highest grain yield at the level of the entire experiment indicating that this variety maintains its superiority even in less favorable climatic conditions, on soils of poorer fertility. This significantly contributes to safe and sustainable agricultural production.

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Environmental Science

Agronomy

Agricultural Engineering

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Yield (engineering) Stability (learning theory) Environmental science Agronomy Agricultural engineering Atmospheric sciences Computer science Engineering Geology Biology Physics Thermodynamics Machine learning

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Type: article
Language: en
Landing Page: https://doi.org/10.46793/sbt30.15kl
OA Status: green
Related Works: 10
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DOI: https://doi.org/10.46793/sbt30.15kl

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Title: WHEAT YIELD STABILITY ACROSS YEARS WITH VARYING CLIMATE CONDITIONS

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Language: en

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Publication year: 2025

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Authors: Kristina Luković, Aleksandra Rakonjac, Veselinka Zečević, Mirela Matković Stojšin, Vera Rajičić, Mirela Matković Stojšin, Kamenko Bratković

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OA URL: https://RIVeC.institut-palanka.rs/handle/123456789/1069

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Concepts: Yield (engineering), Stability (learning theory), Environmental science, Agronomy, Agricultural engineering, Atmospheric sciences, Computer science, Engineering, Geology, Biology, Physics, Thermodynamics, Machine learning

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