ORCID Profile
0000-0002-4388-6230
Current Organisations
Brigham and Women's Hospital
,
Alliance of Bioversity International and International Center for Tropical Agriculture
,
Harvard Medical School
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Publisher: Wiley
Date: 06-10-2016
DOI: 10.2135/CROPSCI2015.11.0701
Abstract: Past research developed reliable equations to base selections for high β‐carotene on near‐infrared spectroscopy (NIR) predictions (100 genotypes d −1 ) rather than with high‐performance liquid chromatography (HPLC) ( s les d −1 ). During recent harvest, CIAT made selections based on NIR predictions for the first time. This innovation produced valuable information that will help other cassava ( Manihot esculenta Crantz) breeding programs. A total of 284 s les were analyzed with NIR and HPLC for total β‐carotene (TBC) and by the oven method for dry matter content (DMC). Results indicated that NIR reliably predicted TBC and DMC. In addition, 232 genotypes grown in preliminary yield trials (PYTs) were harvested at 8.5 and 10.5 mo after planting (one plant per genotype and age) and root quality traits analyzed (by NIR only). Repeatability of results at the two ages was excellent, suggesting reliable results from NIR. In contrast to previous reports, age of the plant did not influence carotenoids content in the roots. The availability of a high‐throughput NIR protocol allowed comparing results (for the first time) from seedling and cloned plants from the same genotype. Results showed very little relationship for DMC between seedling and cloned plants ( R 2 = 0.09). There was a much better association for TBC ( R 2 = 0.48) between seedling and cloned plants. It is postulated that variation in the environmental conditions when seedling and cloned plants (from the same genotype) may be responsible for these weak associations. Important changes in selection strategies have been implemented to overcome problems related to a lengthy harvesting season.
Publisher: Elsevier BV
Date: 11-2012
Publisher: Cold Spring Harbor Laboratory
Date: 14-07-2009
Abstract: Tens of thousands of subjects may be required to obtain reliable evidence relating disease characteristics to the weak effects typically reported from common genetic variants. The costs of assembling, phenotyping, and studying these large populations are substantial, recently estimated at three billion dollars for 500,000 in iduals. They are also decade-long efforts. We hypothesized that automation and analytic tools can repurpose the informational byproducts of routine clinical care, bringing s le acquisition and phenotyping to the same high-throughput pace and commodity price-point as is currently true of genome-wide genotyping. Described here is a demonstration of the capability to acquire s les and data from densely phenotyped and genotyped in iduals in the tens of thousands for common diseases (e.g., in a 1-yr period: N = 15,798 for rheumatoid arthritis N = 42,238 for asthma N = 34,535 for major depressive disorder) in one academic health center at an order of magnitude lower cost. Even for rare diseases caused by rare, highly penetrant mutations such as Huntington disease ( N = 102) and autism ( N = 756), these capabilities are also of interest.
Location: Colombia
Location: United States of America
No related grants have been discovered for LIZBETH PINO DURAN.