Assessing compositional variability through graphical analysis and Bayesian statistical approaches: Case studies on transgenic crops

Biotechnology and Genetic Engineering Reviews

Volumn 28, Issue , 2012, Pages 15-32

  Harrigan, George G ^a   Harrison, Jay M ^a  

^a MONSANTO COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; DATA HANDLING; DATA VISUALIZATION; HERBICIDES; INFORMATION ANALYSIS; PLANTS (BOTANY); PROBABILITY DISTRIBUTIONS; STATISTICAL TESTS; WEED CONTROL;

BAYESIAN STATISTICAL APPROACH; CASE-STUDIES; COMPOSITIONAL VARIABILITY; EXPLORATORY DATA ANALYSIS; GM CROPS; GRAPHICAL ANALYSIS; HERBICIDE TOLERANT; SIGNIFICANCE TESTING; TRANSGENIC CROPS; TRANSGENICS;

CROPS;

ALPHA TOCOPHEROL; DAIDZEIN; FATTY ACID; LINOLEIC ACID; OLEIC ACID; PALMITIC ACID; STEARIC ACID;

BAYES THEOREM; BREEDING; COMPUTER INTERFACE; DATA ANALYSIS; GENETIC VARIABILITY; GEOGRAPHIC DISTRIBUTION; GERMPLASM; HARVEST; HISTOGRAM; HYBRID; INFORMATION PROCESSING; NONHUMAN; NUTRITIONAL ASSESSMENT; PROTEIN ANALYSIS; REVIEW; SOYBEAN; STATISTICAL ANALYSIS; TRANSGENIC CROP;

GLYCINE MAX; HEXAPODA; ZEA MAYS;

EID: 84860914014     PISSN: 02648725     EISSN: None     Source Type: Journal    
DOI: 10.5661/bger-28-15     Document Type: Review

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