Genotype-environment interaction and guata potato yield (Solanum tuberosum L.) in the Department of Nariño (Colombia)

Astrid Viviana Santacruz-Benavides, Wilmer Libey Delgado-Gualmatán, Tulio César Lagos-Burbano, D. Duarte-Alvarado
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Abstract

Estimating the genotype-environment interaction (GEI) for potato genotype yield is very useful for the identification of outstanding genetic material that can adapt to specific environmental conditions and shows productive potential for breeding programs, selection processes and cultivar recommendations because it improves the efficiency of the genetic improvement process. The objective of this study was to determine the GEI of yield, expressed as t ha-1, in 21 potato genotypes. Four municipalities in the Department of Nariño were considered: Tangua, Pupiales, Imues, and Pasto. A randomized complete block design and an additive main effects and multiplicative interaction model (AMMI model) were used. Highly significant differences between the environments were found across the genotypes and GEI. Of the total variation, 42.43% was explained by the environment, 13.84% by the genotypes, and 15.49% by the GEI. The genotypes that showed stable behaviors were UdenarStGua55, UdenarStGua78, UdenarStGua24, UdenarStGua61, UdenarStGua20, and UdenarStGua98. Genotypes UdenarStGua78 and UdenarStGua98 stood out with 53.49 and 48.42 t ha-1 . Furthermore, genotypes UdenarStGua93, UdenarStGua97, and UdenarStGua91 showed a positive interaction with the environments of Tangua and Pupiales. Similarly, genotypes UdenarStGua58, UdenarStGua83, UdenarStGua57, and UdenarStGua87 positively interacted with Pasto, while genotypes UdenarStGua78 and UdenarStGua98 showed positive interactions with Imues. The genotypes displayed different behaviors in response to the areas where they were established, which varied in altitude, soil type, and environmental conditions.
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哥伦比亚Nariño省基因型-环境互作与瓜达薯产量
估算马铃薯基因型产量的基因型-环境相互作用(GEI)对鉴定能够适应特定环境条件的优秀遗传物质非常有用,并显示出育种计划、选择过程和品种推荐的生产潜力,因为它提高了遗传改良过程的效率。本研究的目的是确定21个马铃薯基因型产量的GEI,以tha -1表示。考虑了Nariño省的四个市:坦瓜、普皮亚莱斯、伊梅厄斯和帕斯托。采用随机完全区组设计和可加性主效应和乘法交互作用模型(AMMI模型)。基因型和GEI之间的环境差异非常显著。环境因子占总变异的42.43%,基因型因子占13.84%,GEI因子占15.49%。表现出稳定行为的基因型为UdenarStGua55、UdenarStGua78、UdenarStGua24、UdenarStGua61、UdenarStGua20和UdenarStGua98。基因型UdenarStGua78和UdenarStGua98分别为53.49和48.42 t ha-1。此外,基因型UdenarStGua93、UdenarStGua97和UdenarStGua91与坦瓜和Pupiales的环境表现出正交互作用。同样,基因型UdenarStGua58、UdenarStGua83、UdenarStGua57和UdenarStGua87与Pasto呈正相互作用,而基因型UdenarStGua78和UdenarStGua98与Imues呈正相互作用。不同海拔高度、不同土壤类型、不同环境条件下,基因型表现出不同的行为。
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