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Article

Yield Stability and Grain Yield Performance of Proso Millet (Panicum miliaceum L.) Genotypes Across Contrasting Years in Northern Kazakhstan

1
A. I. Baraev Scientific Production Center for Grain Farming, Nauchny Settlement, Shortandy 021601, Kazakhstan
2
Institute of Agriculture and Forestry, S. Seifullin Kazakh Agro Technical Research University, Astana 010011, Kazakhstan
*
Author to whom correspondence should be addressed.
Agriculture 2026, 16(13), 1372; https://doi.org/10.3390/agriculture16131372 (registering DOI)
Submission received: 20 April 2026 / Revised: 13 June 2026 / Accepted: 14 June 2026 / Published: 23 June 2026
(This article belongs to the Section Crop Genetics, Genomics and Breeding)

Abstract

Proso millet (Panicum miliaceum L.) is a drought-tolerant cereal crop with considerable potential for dry-steppe agriculture. This study evaluated grain yield performance and stability of 104 proso millet genotypes originating from 21 countries under climatic conditions in Northern Kazakhstan during 2022–2024. Field experiments were conducted under rainfed conditions using a randomized complete block design with three replications. Grain yield data were analyzed using analysis of variance (ANOVA), additive main effects and multiplicative interaction (AMMI) analysis, genotype plus genotype-by-environment (GGE) biplot analysis, and the stress tolerance index (STI). The study years differed substantially in weather conditions, ranging from severe drought in 2023 (HTC = 0.495) to excessive moisture availability in 2024 (HTC = 4.245). Mean grain yield varied from 2.58 t ha−1 in 2022 to 4.18 t ha−1 in 2024, demonstrating the high productive potential of proso millet under Northern Kazakhstan conditions. ANOVA revealed significant effects of genotype and year on grain yield. AMMI and GGE analyses were used to visualize genotype performance patterns and identify promising germplasm. Shortandinskoe 11 and K-2754 combined relatively high grain yield with stable performance, whereas K-2804, K-2724, and K-2291 demonstrated high productivity and elevated STI values. These accessions represent valuable germplasm for breeding programs aimed at improving grain yield, stability, and drought tolerance; however, further multi-location testing is required to confirm the breeding value and stability of the identified accessions under a wider range of environmental conditions.
Keywords: proso millet; grain yield; yield stability; AMMI; GGE biplot; drought tolerance; dry-steppe conditions; germplasm evaluation; Northern Kazakhstan proso millet; grain yield; yield stability; AMMI; GGE biplot; drought tolerance; dry-steppe conditions; germplasm evaluation; Northern Kazakhstan

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MDPI and ACS Style

Dolinny, Y.; Kobernitsky, V.; Savin, T.; Rysbekova, A.; Volobaeva, V.; Miller, Y.; Kobernitskaya, T.; Zhirnova, I. Yield Stability and Grain Yield Performance of Proso Millet (Panicum miliaceum L.) Genotypes Across Contrasting Years in Northern Kazakhstan. Agriculture 2026, 16, 1372. https://doi.org/10.3390/agriculture16131372

AMA Style

Dolinny Y, Kobernitsky V, Savin T, Rysbekova A, Volobaeva V, Miller Y, Kobernitskaya T, Zhirnova I. Yield Stability and Grain Yield Performance of Proso Millet (Panicum miliaceum L.) Genotypes Across Contrasting Years in Northern Kazakhstan. Agriculture. 2026; 16(13):1372. https://doi.org/10.3390/agriculture16131372

Chicago/Turabian Style

Dolinny, Yuri, Vladimir Kobernitsky, Timur Savin, Aiman Rysbekova, Vera Volobaeva, Yevgeniya Miller, Tatyana Kobernitskaya, and Irina Zhirnova. 2026. "Yield Stability and Grain Yield Performance of Proso Millet (Panicum miliaceum L.) Genotypes Across Contrasting Years in Northern Kazakhstan" Agriculture 16, no. 13: 1372. https://doi.org/10.3390/agriculture16131372

APA Style

Dolinny, Y., Kobernitsky, V., Savin, T., Rysbekova, A., Volobaeva, V., Miller, Y., Kobernitskaya, T., & Zhirnova, I. (2026). Yield Stability and Grain Yield Performance of Proso Millet (Panicum miliaceum L.) Genotypes Across Contrasting Years in Northern Kazakhstan. Agriculture, 16(13), 1372. https://doi.org/10.3390/agriculture16131372

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