Nelson Ceballos-Aguirre, Franco Alirio Vallejo-Cabrera, Yacenia Morillo-Coronado
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The experiment design used randomized complete blocks with four replicates; the experiment unit consisted of five effective plants per introduction. The evaluated variables were production per plant (PFT) (kg/pl), number of fruits per plant (NFT), and average fruit weight (AWF) (g/fruit). The genotype×environment interaction and the stability of the 10 genotypes were estimated with the AMMI multivariate model. The environments for T120K and T180K were optimal for the variables associated with production (PFT, NFT and AWF), with IAC1621, IAC426 and IAC1624 being the most promising genotypes per environment on the Farms Tesorito, Montelindo and CEUNP, respectively. The results are useful for the identification of genotypes in key locations for selection and evaluation in breeding programs.","PeriodicalId":21384,"journal":{"name":"Revista Colombiana de Ciencias Hortícolas","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Genotype-environment interaction for production characteristics in cherry tomato (Solanum spp.)\",\"authors\":\"Nelson Ceballos-Aguirre, Franco Alirio Vallejo-Cabrera, Yacenia Morillo-Coronado\",\"doi\":\"10.17584/rcch.2021v15i2.12608\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Much of the tomato diversity is found in cherry-type populations. There are promising wild cherry tomato species with good behavior in terms of yield and quality that can be produced with a minimum of agro-inputs. The genetic expression of genotypes is influenced by the optimal environment they can develop in. The genotype-environment interaction must be known to estimate the phenotypic adaptability in different environments. The objective of this research was to evaluate the genotype-environment interaction for 10 cherry tomato introductions in nine environments, four of which were artificial environments (0, 60, 120 and 180 kg ha-1 of potassium) established in natural environments on the Farms Montelindo, Tesorito and CEUNP. The experiment design used randomized complete blocks with four replicates; the experiment unit consisted of five effective plants per introduction. The evaluated variables were production per plant (PFT) (kg/pl), number of fruits per plant (NFT), and average fruit weight (AWF) (g/fruit). The genotype×environment interaction and the stability of the 10 genotypes were estimated with the AMMI multivariate model. 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引用次数: 1
摘要
大部分番茄的多样性是在樱桃型种群中发现的。有一些很有前途的野生樱桃番茄品种,在产量和质量方面表现良好,可以用最少的农业投入生产。基因型的遗传表达受其发育的最佳环境的影响。要估计不同环境下的表型适应性,必须了解基因型与环境的相互作用。本研究的目的是评价10个樱桃番茄在9个环境下的基因型-环境相互作用,其中4个是在自然环境中建立的人工环境(0、60、120和180 kg ha-1钾),分别位于蒙特林多、特索里托和CEUNP农场。试验设计采用随机完全区,设4个重复;试验单元由每次引种5株有效植株组成。评价变量为单株产量(PFT) (kg/pl)、单株果数(NFT)和平均果重(AWF) (g/果)。利用AMMI多变量模型估计10个基因型的genotype×environment互作和稳定性。T120K和T180K的环境对与产量相关的变量(PFT、NFT和AWF)最优,其中IAC1621、IAC426和IAC1624分别是Tesorito、Montelindo和CEUNP农场每个环境中最有希望的基因型。该结果对关键位点的基因型鉴定、育种选择和评价具有重要意义。
Genotype-environment interaction for production characteristics in cherry tomato (Solanum spp.)
Much of the tomato diversity is found in cherry-type populations. There are promising wild cherry tomato species with good behavior in terms of yield and quality that can be produced with a minimum of agro-inputs. The genetic expression of genotypes is influenced by the optimal environment they can develop in. The genotype-environment interaction must be known to estimate the phenotypic adaptability in different environments. The objective of this research was to evaluate the genotype-environment interaction for 10 cherry tomato introductions in nine environments, four of which were artificial environments (0, 60, 120 and 180 kg ha-1 of potassium) established in natural environments on the Farms Montelindo, Tesorito and CEUNP. The experiment design used randomized complete blocks with four replicates; the experiment unit consisted of five effective plants per introduction. The evaluated variables were production per plant (PFT) (kg/pl), number of fruits per plant (NFT), and average fruit weight (AWF) (g/fruit). The genotype×environment interaction and the stability of the 10 genotypes were estimated with the AMMI multivariate model. The environments for T120K and T180K were optimal for the variables associated with production (PFT, NFT and AWF), with IAC1621, IAC426 and IAC1624 being the most promising genotypes per environment on the Farms Tesorito, Montelindo and CEUNP, respectively. The results are useful for the identification of genotypes in key locations for selection and evaluation in breeding programs.