Utilizing conjoint analysis to design modern crop varieties: empirical example for groundnut in Niger
展示了如何用联合分析方法识别农民偏好的作物性状，帮助育种者设计更易被接受的现代品种，以尼日尔花生为例，通过有序Probit模型估计效用。
Abstract Preferences for monetary and non‐monetary plant traits influence modern crop variety adoption decisions of farmers. To enhance adoption probability of modem crop varieties, it is necessary to identify and locus research on traits that significantly contribute to utility while de‐emphasizing insignificant plant attributes. This paper illustrates the potential for applying conjoint analysis to aid the design and targeting of client‐responsive modern crop varieties, farmers ranked eight orthogonally‐derived plant trail combinations used in an illustrative example. Utilities were estimated using the choice‐probability‐based method of ordered probit. Results showed that conjoint analysis can differentiate significant and non‐significant trails of modern crop varieties. The usefulness of applying conjoint analysis over identifiable disaggregated groups of a sample was also evident. Future application of conjoint analysis to the design and targeting of modern crop varieties should carefully consider sample composition and size to permit the estimation of relevant sub‐models for desired farmer segments.