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Stability, the Last Frontier: Forage Yield Dynamics of Peas under Two Cultivation Systems

The stability of performance may be proved to be the last frontier for adopting certain genotypes in various cultivation systems and environments. The main objective of the present study was to analyze the forage yield stability performance of seven pea (Pisum sativum L.) genotypes based on various...

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Autores principales: Greveniotis, Vasileios, Bouloumpasi, Elisavet, Zotis, Stylianos, Korkovelos, Athanasios, Ipsilandis, Constantinos G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003138/
https://www.ncbi.nlm.nih.gov/pubmed/35406872
http://dx.doi.org/10.3390/plants11070892
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author Greveniotis, Vasileios
Bouloumpasi, Elisavet
Zotis, Stylianos
Korkovelos, Athanasios
Ipsilandis, Constantinos G.
author_facet Greveniotis, Vasileios
Bouloumpasi, Elisavet
Zotis, Stylianos
Korkovelos, Athanasios
Ipsilandis, Constantinos G.
author_sort Greveniotis, Vasileios
collection PubMed
description The stability of performance may be proved to be the last frontier for adopting certain genotypes in various cultivation systems and environments. The main objective of the present study was to analyze the forage yield stability performance of seven pea (Pisum sativum L.) genotypes based on various stability indices. The genotype behavior was studied based on the yield of peas under both conventional and low-input cultivation systems. Five cultivars of peas (broadly distributed) and two lines were used in a strip-plot design. Significant positive correlations were detected between forage yield and some other traits. This way, forage yield stability may be indirectly improved by improving certain traits showing qualitative inheritance. Comparisons revealed that genotypes exhibited stable performance, even in low-input farming systems. AMMI analysis, GGE biplot, and analysis of variance (ANOVA) combination showed statistically significant differences between genotypes and environments and the farming system. Our analysis depicted specific cultivars of peas for different areas and farming systems to attain highly stable performance. Vermio was confirmed to be a stable genotype for forage yield performance in low-input farming in Trikala and Kalambaka areas, while Pisso was indicated as the best in Florina and Giannitsa areas in low-input farming. The two pea lines exhibited stable performance in Giannitsa and Florina areas, especially in low-input conditions. The stable behavior of some genotypes in these conditions may be useful for farmers that raise livestock in mountainous areas. The genetic parameters show that the selection for fresh forage yield and dry matter yield in breeding programs is expected to be effective.
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spelling pubmed-90031382022-04-13 Stability, the Last Frontier: Forage Yield Dynamics of Peas under Two Cultivation Systems Greveniotis, Vasileios Bouloumpasi, Elisavet Zotis, Stylianos Korkovelos, Athanasios Ipsilandis, Constantinos G. Plants (Basel) Article The stability of performance may be proved to be the last frontier for adopting certain genotypes in various cultivation systems and environments. The main objective of the present study was to analyze the forage yield stability performance of seven pea (Pisum sativum L.) genotypes based on various stability indices. The genotype behavior was studied based on the yield of peas under both conventional and low-input cultivation systems. Five cultivars of peas (broadly distributed) and two lines were used in a strip-plot design. Significant positive correlations were detected between forage yield and some other traits. This way, forage yield stability may be indirectly improved by improving certain traits showing qualitative inheritance. Comparisons revealed that genotypes exhibited stable performance, even in low-input farming systems. AMMI analysis, GGE biplot, and analysis of variance (ANOVA) combination showed statistically significant differences between genotypes and environments and the farming system. Our analysis depicted specific cultivars of peas for different areas and farming systems to attain highly stable performance. Vermio was confirmed to be a stable genotype for forage yield performance in low-input farming in Trikala and Kalambaka areas, while Pisso was indicated as the best in Florina and Giannitsa areas in low-input farming. The two pea lines exhibited stable performance in Giannitsa and Florina areas, especially in low-input conditions. The stable behavior of some genotypes in these conditions may be useful for farmers that raise livestock in mountainous areas. The genetic parameters show that the selection for fresh forage yield and dry matter yield in breeding programs is expected to be effective. MDPI 2022-03-27 /pmc/articles/PMC9003138/ /pubmed/35406872 http://dx.doi.org/10.3390/plants11070892 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Greveniotis, Vasileios
Bouloumpasi, Elisavet
Zotis, Stylianos
Korkovelos, Athanasios
Ipsilandis, Constantinos G.
Stability, the Last Frontier: Forage Yield Dynamics of Peas under Two Cultivation Systems
title Stability, the Last Frontier: Forage Yield Dynamics of Peas under Two Cultivation Systems
title_full Stability, the Last Frontier: Forage Yield Dynamics of Peas under Two Cultivation Systems
title_fullStr Stability, the Last Frontier: Forage Yield Dynamics of Peas under Two Cultivation Systems
title_full_unstemmed Stability, the Last Frontier: Forage Yield Dynamics of Peas under Two Cultivation Systems
title_short Stability, the Last Frontier: Forage Yield Dynamics of Peas under Two Cultivation Systems
title_sort stability, the last frontier: forage yield dynamics of peas under two cultivation systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003138/
https://www.ncbi.nlm.nih.gov/pubmed/35406872
http://dx.doi.org/10.3390/plants11070892
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