Not AvailableForage sorghum is an important component of the fodder supply chain in the arid and semi-arid regions of the world because of its high productivity, ability to utilize water efficiently and adaptability to a wide range of climatic conditions. Identification of high-yielding stable genotypes (G) across environments (E) is challenging becauseofthecomplexG×Einteractions(GEI).Inthepresentstudy,theperformanceof16foragesorghumgenotypes over seven locations across the rainy seasons of 2010 and 2011 was investigated using GGE biplot analysis. AnalysisofvariancerevealedtheexistenceofsignificantGEIforfodderyieldandalleightassociatedphenotypic traits.Locationaccountedforahigherproportionofthevariation(0·72–0·91),whilegenotypecontributedonly0·06– 0·21 oftotal variation indifferenttraits.Genotype-by-locationinteractionscontributed0·02–0·13oftotalvariation. Promisinggenotypesforfodderyieldandeachoftheassociatedtraitscouldbeidentifiedeffectivelyusingagraphical biplot approach. The majority of testlocations were highly correlated. A ‘Which-won-where’ study partitioned the testlocations into two mega-environments (MEs): ME1 was represented by five locations with COFS 29 as the best genotype, while ME2 had two locations with S 541 as the best genotype. The existence of two MEs suggested a need for location-specific breeding. Genotype-by-trait biplots indicated that improvement for forage yield could beachievedthrough indirect selectionfor plantheight, leafnumber andearlyvigour.Not Availabl
