Genotype × environment interaction in potato
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Date
2017
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Punjab Agricultural University, Ludhiana
Abstract
In the present study sixteen potato genotypes were evaluated across three environments viz., dehaulming at 70 (E1), 90 (E2) 110 (E3) days after planting in the Department of Vegetable Science, Punjab Agricultural University, Ludhiana. The overall aim of this study was to identify generally stable or specifically adapted potato genotypes for yield, its component traits and tuber quality across three environments. Stability analysis was carried out using Eberhart and Russell’s stability model and GGE biplot analysis. Among the three environments, E3 (110 days crop duration) produced the highest total tuber yield (q ha-1) and marketable tuber yield (q ha-1). Genotype MS/08 1148 recorded the highest total as well as marketable tuber yield in all the three environments. The genotype × environment interactions were found significant for all the traits, except days to emergence and number of shoots/plant. Kufri Pushkar, Kufri Surya, and Kufri Chipsona-1 had the highest stability for total tuber yield. However, for dry matter, genotypes Kufri Surya and Kufri Chipsona-4 and for low reducing sugars Kufri Chipsona-1, Kufri Frysona and Atlantic exhibited highest stability. Further, MS/08-1148, Kufri Garima and Kufri Pushkar were identified as suitable genotypes for E1, indicating their early bulking capability. While, in environment, E2 and E3, MS/08-1148, MS/06-1947, MS/06-819, Kufri Pushkar and Kufri Pukhraj were found promising with highest tuber yield. For processing traits, Kufri Chipsona-1 was identified in environment E1 whereas, Kufri Frysona, Kufri Chipsona-1 in E2 and MP/04-578, MP/06-39, Kufri Surya, Kufri Chipsona-1, Kufri Frysona had highest dry matter and lowest reducing sugars in E3. Thus, potato genotypes exhibited differential response to variable environments for yield and quality traits. Further, GGE biplot analysis is very useful tool for identifying specifically adapted genotypes in the target environments for specific traits.
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