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Selection in several environments by BLP as an alternative to pooled anova in crop breeding Ciência e Agrotecnologia
Bueno Filho,Júlio Sílvio de Sousa; Vencovsky,Roland.
Plant breeders often carry out genetic trials in balanced designs. That is not always the case with animal genetic trials. In plant breeding is usual to select progenies tested in several environments by pooled analysis of variance (ANOVA). This procedure is based on the global averages for each family, although genetic values of progenies are better viewed as random effects. Thus, the appropriate form of analysis is more likely to follow the mixed models approach to progeny tests, which became a common practice in animal breeding. Best Linear Unbiased Prediction (BLUP) is not a "method" but a feature of mixed model estimators (predictors) of random effects and may be derived in so many ways that it has the potential of unifying the statistical theory of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: BLP; Plant breeding; Statistical genetics.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542009000500021
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Estimating the Spatial Distribution of Groundwater Demand In the Texas High Plains AgEcon
Zhao, Shiliang; Wang, Chenggang; Bordovsky, James P.; Sheng, Zhuping; Gastelum, Jesus R..
Developing groundwater management plans requires a good understanding of the interdependence of groundwater hydrology and producer water use behavior. While state-of-the-art groundwater models require water demand data at highly disaggregated levels, the lack of producer water use data has held up the progress to meet that need. This paper proposes an econometric framework that links county-level crop acreage data to well-level hydrologic data to produce heterogeneous patterns of crop choice and irrigation practices within a county. Together with agronomic data on irrigation water requirements of various crops and irrigation practices, this model permits estimation of the water demand distribution within a county. We apply this model to a panel of 16...
Tipo: Conference Paper or Presentation Palavras-chave: Discrete Choice Model; Random-coefficients Discrete Choice Model; Crop Choice; BLP; Groundwater; Texas High Plains; Ogallala Aquifer; Crop Production/Industries; Resource /Energy Economics and Policy.
Ano: 2011 URL: http://purl.umn.edu/103931
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