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Yield Performance and Stability Evaluation of Peanut Breeding Lines with the CSM-CROPGRO-Peanut Model

^a Dep. of Plant Science and Agricultural Resources, Faculty of Agriculture, Khon Kaen Univ., Khon Kaen 40002, Thailand
^b Dep. of Biological and Agricultural Engineering, Univ. of Georgia, Griffin, GA 30223-1797

^* Corresponding author (aran{at}kku.ac.th).

Multienvironment trials of crop breeding lines consume many resources. Crop models have a potential to assist in this process. The goal of this study was to evaluate the potential of the CSM-CROPGRO-Peanut model in assisting with yield performance and stability evaluation of peanut (Arachis hypogaea L.) breeding lines. Seventeen peanut lines were tested in 11 environments in Thailand during both the rainy and the dry seasons of 2002 to 2004. Yields of these lines were also simulated with the CSM-CROPGRO-Peanut model for the same 11 test sites. The cultivar coefficients of the peanut lines used for model simulation were derived from a separate experiment conducted in two seasons and were evaluated against an independent data set from another experiment. Yield performance and stability of the peanut lines were evaluated on the basis of observed and simulated data using the genotype and genotype x environment interaction biplot method. The results showed that the model predicted the relative performances and yield stability for pod yield of the test peanut lines for the 11 actual test sites reasonably well. Out of the nine highest yielding lines, that is, the upper 52%, identified by observed data, six were identified by model simulation. Similarly, out of the nine stable lines identified by observed data, six were common with those identified by simulated data. We conclude that the CSM-CROPGRO-Peanut model could be used in assisting yield performance and stability evaluation of peanut breeding lines.

Abbreviations: AMMI, additive main effects and multiplicative interaction • CSM, cropping system model • DSSAT, Decision Support System for Agrotechnology Transfer • GxE, genotype by environment • GGE, genotype and genotype by environment interaction • LFMAX, maximum leaf photosynthetic rate • MET, multienvironment trial • PC, principal component • RMSEn, normalized root mean square error • SDPM, first seed to physiological maturity • SFDUR, seed filling duration for an individual pod cohort • WTPSD, individual seed size • XFRT, maximum fraction of daily growth that is allocated to seed and shell

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Received for publication September 24, 2007.