Steve Harrison

Enhancing prediction accuracy of grain yield in wheat lines adapted to the southeastern United States through multivariate and multi‐environment genomic prediction models incorporating spectral and thermal information

Jordan McBreen, Md Ali Babar, Diego Jarquín, Naeem Khan et autres

Enhancing predictive modeling accuracy in wheat (Triticum aestivum) breeding through the integration of high-throughput phenotyping (HTP) data with genomic information is crucial for maximizing genetic gain. In this study, spanning four locations in the southeastern United States over 3 years, models to …

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Mapping of a novel major effect Hessian fly field partial-resistance locus in southern soft red winter wheat line LA03136E71

Zachary J. Winn, Ramesh Acharya, Keith R. Merrill, Jeanette Lyerly et autres

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Heading Date QTL in Winter Wheat (Triticum aestivum L.) Coincide with Major Developmental Genes VERNALIZATION1 and PHOTOPERIOD1

Mohammed Guedira, Mai Xiong, Yuan Feng Hao, J. W. Johnson et autres

In wheat (Triticum aestivum L.), time from planting to spike emergence is influenced by genes controlling vernalization requirement and photoperiod response. Characterizing the available genetic diversity of known and novel alleles of VERNALIZATION1 (VRN1) and PHOTOPERIOD1 (PPD1) in winter wheat can inform …

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Vernalization Duration Requirement in Soft Winter Wheat is Associated with Variation at the VRN‐B1 Locus

Mohammed Guedira, Peter Maloney, Mai Xiong, Stine Petersen et autres

ABSTRACT Genetic variation in the factors controlling flowering in wheat (Triticum aestivum L.) allow it to be grown in a wide range of environments. The aim of this study was to identify genetic determinants of flowering time in winter wheat cultivars adapted …

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