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Sogo Nishio, Masahiko Yamada, Norio Takada, Hidenori Kato, Noriyuki Onoue, Yutaka Sawamura, and Toshihiro Saito

NHD and NW using F 1 progeny from the chestnut breeding program at NIFTS, but their experiment was not replicated over multiple years, and they did not estimate the environmental variance components. In addition, no reports are available for the

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Rakesh Kumar and Todd C. Wehner

variances and heritability behaviors of yield and its components is paramount. Genetic variance and heritability can be estimated using parent–offspring regression ( Holland et al., 2003 ; Kumar and Wehner, 2011b ; Nyquist, 1991 ), North Carolina Design I

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Hiroko Hamada, Keisuke Nonaka, Terutaka Yoshioka, and Masahiko Yamada

obtaining desirable genotypes in a breeding program. Analysis of variance (ANOVA) has been used to estimate the contributions of genetic and environmental variance components for fruit traits of Japanese persimmon ( Yamada et al., 1993 , 2002 ), grape

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Heather L. Merk, Shawn C. Yarnes, Allen Van Deynze, Nankui Tong, Naama Menda, Lukas A. Mueller, Martha A. Mutschler, Steven A. Loewen, James R. Myers, and David M. Francis

store quantitative phenotypic data. All crop improvement, whether marker-assisted, genome-wide, or phenotype-based, is grounded on our ability to accurately partition trait variance into environmental and genetic components. To address a lack of baseline

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Stefanie Peschel and Moritz Knoche

). Low cracking susceptibility is an important objective in sweet cherry breeding programs around the world. Improving cracking resistance by breeding approaches requires phenotyping of cracking relevant traits, quantifying their variance components and

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M. Joseph Stephens, Jessica Scalzo, Peter A. Alspach, Ron A. Beatson, and Ann Marie Connor

likely that a selection index approach, using the combined genetic information for the four components (mentioned previously), will maximize the chances of success. The general formula for deriving a selection index is based on the variance

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M. Joseph Stephens, Peter A. Alspach, Ron A. Beatson, Chris Winefield, and Emily J. Buck

–covariance matrix was unstructured (i.e., as for genotype × trait). Variance components were estimated using data from all plants in the study for all traits except TYLD in which only the first (2009) or first and second (2010) plants were harvested. For each trait

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Abe Shegro Gerrano, Patrick Olusanmi Adebola, Willem Sternberg Jansen van Rensburg, and Sonja Louise Venter

out to determine the level of variability of the protein and mineral composition in the leaves of selected genotypes. The genotypic and phenotypic variances as well as the heritability estimates of the nutritional components were also determined

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De-Kun Dong, Jia-Shu Cao, Kai Shi, and Le-Cheng Liu

heterosis and better parent heterosis, respectively. A total of 23 main effect QTLs for biomass and its component traits were detected by composite interval mapping, one to three QTLs for each trait ( Table 1 ). The phenotypic variance explained by a

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Matthew H. Kramer, Ellen T. Paparozzi, and Walter W. Stroup

reporting section as a resource for planning future experiments. Variance estimates are especially important for this function. The goal of this article is to provide an overview of how best to communicate statistics used in horticultural research. Therefore