Genotype × environment interaction of potato chip colour

Abstract

. 1999. Genotype × environment interaction of potato chip colour. Can. J. Plant Sci. 79: [433][434][435][436][437][438]. Ten potato genotypes were tested in replicated trials over three sites in New Brunswick. Five of them were tested in 1991, 1992 and 1993, and another five in 1992 and 1993. Tubers were harvested and put in storage rooms with two temperature regimes: 7°C and 13°C. Prior to testing glucose content and chip colour, a portion of tubers stored in 7°C was sampled and subjected to reconditioning for 2 and 4 wk in a storage room with the temperature regime of 21°C. High relative humidity (>80%) was maintained in all storage rooms. Glucose and colour score of chips were determined during November in each of the three years. Analysis of variance revealed genotype × environment interactions for both traits. Since variation of chip colour is controlled primarily by glucose content in potatoes, this causal relationship was used as a basis to perform path regression analysis for each of the genotypes, based on all available data of the two traits. The regression equation is composed of two terms: an average chip score over environments (µ) and a multiplicative term with a genotypic coefficient (g) and an environmental index (r); µ measures the overall chipping ability, whereas g responds to environment and thus represents chipping stability. The 10 genotypes were different from one another on estimates of both parameters. The estimates of r showed lesser differences between the three test sites than between storage-temperature regimes. Storing potatoes at 13°C and 7°C gave the best and worst chip-colour scores, respectively. Reconditioning at 21°C after storing at 7°C improved the colour performance. No clear association was observed between chip colour, specific gravity and marketable yield. Good chipping genotypes tested in the experiment, however, had lower yields than others. The present results indicate that path regression analysis is an effective method for detecting the role of glucose content in the control of the expression of chip colour. À la récolte, les tubercules étaient mis en salle de stockage sous 2 températures 7 et 13°C. Avant l'analyse de la teneur en glucose et l'évalua-tion de la couleur des croustilles, les échantillons étaient prélevés dans une partie des tubercules stockés à 7°C, puis soumis pendant 2 et 4 semaines à un reconditionnement en salle de stockage réglé à la température de 21°C. Un taux d'humidité relative élevé (>80 %) était maintenu dans toutes les salles de stockage. Le dosage du glucose et le pointage colorimétrique étaient réalisé en novembre de chacune des trois années. L'analyse de la variance a mis en évidence des interactions génotype × environnement pour les deux caractères. Comme les variations de la couleur sont déterminées en premier lieu par la teneur en glucose des pommes de terre, ce rapport de cause à effet a servi de base à une analyse de régression de chemin pour chacun des génotypes, tenant compte de toutes les données disponibles sur les deux caractè...

Marker Assisted Selection of Potato Clones that Process with Light Chip Color

“…The genetic components and inheritance of chip color have been intensively studied. Loiselle et al (1990), Lynch et al (1992) and Tai and Coleman (1999) presented data supporting the concept of two genetic components, overall capacity and stability at low temperatures. The former measures chip color potential and the latter the influence of environment on color stability.…”

Use of AMMI and other stability statistics in the simultaneous selection of rice genotypes for yield and stability under direct-seeded conditions

“…(i) The sub-division or stratification of a heterogeneous area into smaller, more homogeneous subregions and with breeding programs aimed at developing genotypes for specific sub-regions. However, even with this refinement, the level of interaction can remain high because the breeding area does not reduce the interaction of genotypes with location with years (Eberhart and Russell, 1966;Tai, 1979). (ii) The strategy to reduce GEI involves selecting genotypes with a better stability across a wide range of environments to better predict behavior (Yaghotipoor and Farshadfar, 2007).…”

Path analysis of genotype × environment interaction in wheat-barley disomic addition lines

“…The three genotypic components each represent the efficiency with which a genotype utilizes a standard deviation unit input in one of the three environmental components during the succeeding stages of plant development for the formation of final yield (Tai, 1975;1979;Tai et al, 1994).…”

“…X→Y→Z→W. This sequential relationship between yield and yield components was developed into a working model for the investigation of crop yields by Tai (1975), and has been shown to provide a powerful tool for studying G × E interactions (Tai, 1979;Lynch and Tai, 1989;Tai et al, 1994;Fagam et al, 2006;Hui et al, 2008;Das and Taliaferro, 2009;Yasin and Singh, 2010).…”