Suppr超能文献

稳定性,最后的前沿领域:两种种植系统下豌豆的牧草产量动态

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

作者信息

Greveniotis Vasileios, Bouloumpasi Elisavet, Zotis Stylianos, Korkovelos Athanasios, Ipsilandis Constantinos G

机构信息

Hellenic Agricultural Organization Demeter, Institute of Industrial and Forage Crops, 41335 Larissa, Greece.

Department of Agricultural Technology, Technological Educational Institute of Western Macedonia, 53100 Florina, Greece.

出版信息

Plants (Basel). 2022 Mar 27;11(7):892. doi: 10.3390/plants11070892.

Abstract

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 ( 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.

摘要

在不同的种植系统和环境中,性能稳定性可能被证明是采用某些基因型的最后一个前沿问题。本研究的主要目的是基于各种稳定性指标分析7种豌豆(L.)基因型的牧草产量稳定性表现。基于常规和低投入种植系统下豌豆的产量对基因型行为进行了研究。在条区试验设计中使用了5个广泛分布的豌豆品种和2个品系。检测到牧草产量与其他一些性状之间存在显著的正相关。通过这种方式,通过改善某些表现为质量遗传的性状,可以间接提高牧草产量稳定性。比较表明,即使在低投入种植系统中,基因型也表现出稳定的性能。AMMI分析、GGE双标图和方差分析(ANOVA)相结合,显示基因型、环境和种植系统之间存在统计学上的显著差异。我们的分析描绘了适合不同地区和种植系统的特定豌豆品种,以实现高度稳定的性能。在特里卡拉和卡拉姆巴卡地区的低投入种植中,Vermio被确认为牧草产量性能稳定的基因型,而在弗洛里纳和吉安尼察地区的低投入种植中,Pisso被认为是最好的。这两个豌豆品系在吉安尼察和弗洛里纳地区表现出稳定的性能,尤其是在低投入条件下。某些基因型在这些条件下的稳定表现可能对山区饲养牲畜的农民有用。遗传参数表明,在育种计划中选择新鲜牧草产量和干物质产量有望有效。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验