Abstract: Planting corn in one or more consecutive growing seasons in the same fields causes a yield reduction (“corn-on-corn yield penalty”). We developed methods and inoculants comprising Penicillium bilaii, to reduce corn-on-corn yield penalty. The disclosure covers the inoculants and methods for reducing corn-on-corn yield penalty.

Abstract: Planting corn in one or more consecutive growing seasons in the same fields causes a yield reduction (“corn-on-corn yield penalty”). We developed methods and inoculants comprising Penicillium bilaii, to reduce corn-on-corn yield penalty. The disclosure covers the inoculants and methods for reducing corn-on-corn yield penalty.

Abstract: Planting corn in one or more consecutive growing seasons in the same fields causes a yield reduction (“corn-on-corn yield penalty”). We developed methods and compositions comprising a lipo-chitooligosaccharide (LCO), to reduce corn-on-corn yield penalty. The disclosure covers the compositions and methods for reducing corn-on-corn yield penalty.

Abstract: Planting corn in one or more consecutive growing seasons in the same fields causes a yield reduction (“corn-on-corn yield penalty”). We developed methods and inoculants comprising Penicillium bilaii, to reduce corn-on-corn yield penalty. The disclosure covers the inoculants and methods for reducing corn-on-corn yield penalty.

Abstract: Microbe combinations, a seed coated with one of the combinations and a plant protected from corn on corn yield penalties by one of the combinations. Further provided as a microbe combination applied to the seed, stalk or leaf that results in an increase in plant yield.

Abstract: Microbe combinations, a seed coated with one of the combinations and a plant protected from corn on corn yield penalties by one of the combinations. Further provided as a microbe combination applied to the seed, stalk or leaf that results in an increase in plant yield.

Abstract: Methods and systems for assessing wide-area performance of a crop variety using a linear mixed model that incorporates geostatistical components and includes parameters for fixed effects, random effects and covariances. A wide-area database is constructed that includes covariate data, spatial coordinates of testing locations of one or more crop varieties, geographic areas in which the testing locations reside, and performance trait values of one or more crop varieties. The parameters for the fixed effects, random effects and covariances are estimated by fitting the linear mixed model with data in the wide-area database. Long-term expected performance of the crop variety may be estimated using the parameter estimates. Average performance of the crop variety for a given time period may be predicted using the parameter estimates.