2018
DOI: 10.3198/jpr2017.11.0080crc
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Registration of ‘Avery’ Hard Red Winter Wheat

Abstract: Avery' (Reg. No. CV-1143, PI 676977) hard red winter wheat (Triticum aestivum L.) was developed by the Colorado Agricultural Experiment Station and released in August 2015 through a marketing agreement with the Colorado Wheat Research Foundation. In addition to researchers at Colorado State University, USDA-ARS researchers at Manhattan, KS, St. Paul, MN, and Pullman, WA, contributed to its development. Avery was developed with the objective of making available a hard red winter wheat cultivar with improved gra… Show more

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Cited by 10 publications
(6 citation statements)
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“…The Fisher protected LSD test (α = .05) was used to compare the least square means for genotypic effects. Due to the large error heterogeneity among several environments, grain yield data were analyzed with a two‐stage procedure (Haley et al., 2018). In brief, best linear unbiased estimates (BLUEs) were obtained for each environment in the first stage.…”
Section: Methodsmentioning
confidence: 99%
“…The Fisher protected LSD test (α = .05) was used to compare the least square means for genotypic effects. Due to the large error heterogeneity among several environments, grain yield data were analyzed with a two‐stage procedure (Haley et al., 2018). In brief, best linear unbiased estimates (BLUEs) were obtained for each environment in the first stage.…”
Section: Methodsmentioning
confidence: 99%
“…Data from western and central/eastern Kansas locations were analyzed separately. Due to the large error heterogeneity (>10 times difference) for grain yield data among several environments, grain yield data were analyzed using a two‐stage procedure (Haley et al., 2018). In brief, best linear unbiased estimates (BLUEs) were obtained for each individual environment in the first stage, and then BLUEs of common entries were subjected to a combined analysis across year‐locations using a heterogeneous compound symmetry model (Malosetti, Ribaut, & van Eeuwijk, 2013) that can efficiently accommodate the heterogeneity or error variances among environments.…”
Section: Methodsmentioning
confidence: 99%
“…Data from western and central/eastern Kansas locations were analyzed separately, and only the results from western Kansas were reported. Due to the large error heterogeneity (>10 times difference) for grain yield data among several environments, grain yield data were analyzed using a two‐stage procedure (Haley et al., 2018). In brief, best linear unbiased estimates (BLUEs) were obtained for each individual environment in the first stage, and then BLUEs of common entries were subjected to a combined analysis across year‐locations using a heterogeneous compound symmetry model (Malosetti, Ribaut, & van Eeuwijk, 2013) that can efficiently accommodate the heterogeneity of error variances among environments.…”
Section: Methodsmentioning
confidence: 99%