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Evaluation of Sugarcane Genotypes for Different Ecologies of Pakistan by Employing Gge-Biplot Technique

Evaluation of Sugarcane Genotypes for Different Ecologies of Pakistan by Employing Gge-Biplot Technique

Muhammad Zubair1, Sagheer Ahmad2*, Awais Rasool1, Muhammad Asad Farooq1 and Ibni Amin Khalil3

1National Agricultural Research Center, Islamabad, Pakistan; 2Plant Sciences Division, Pakistan Agricultural Research Council, Islamabad, Pakistan; 3Department of Plant Breeding and Genetics, KPK Agricultural University, Peshawar, Khyber Pakhtunkhwa, Pakistan.  


The aim of this study was to identify sugarcane (Saccharum officinarum L) genotypes that combine high yield and stability across environments via Genotype and Genotype × Environment (GGE)-Biplot Technique to identify best potential varieties of sugarcane for a region. Nineteen varieties of sugarcane were assessed in seven environmentally different locations of Pakistan for their yield response. Experiment at each location was carried out in randomized complete block design (RCBD) with three replications. The environment (E) explained 16.1% of the total variation whereas G and G × E interaction captured 48.2 and 34.5 %, respectively. The GGE-Biplot grouped the locations into two mega and two minor environments and indicated best performing genotype for each. Hence the GGE-Biplot ranked HoTh-300 (V-15) and LRK-2004 (V-9) varieties as the best performer across locations followed by CP-NIA-82-223 (V-12), HoTh-127 (V-14) and HoTh-326 (V-16) varieties while based upon both high yielding ability and stability of performance. It also indicated Larkana environment as the ideal location, most discriminating for varieties with the greatest G × E interaction and representative for all other locations. Hence GGE-biplot analysis tool can be applied facilitate evaluation of superior sugarcane varieties for different agro-ecologies. 


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Pakistan Journal of Agricultural Research


Vol. 32, Iss. 4, Pages 562-709


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