![]() USDA ARS Robert W Holley Ctr Agr & Hlth Ithaca NY 14853 USA Cornell Univĭept Plant Breeding & Genet Ithaca NY 14853 USA Cornell Univĭept Biol Stat & Computat Biol Ithaca NY 14853 USA Cornell Univĭept Biol & Environm Engn Ithaca NY 14853 USA Cornell Univ Thus, the proposed method is efficient for high-throughput analysis of leaf pubescence morphology in cereal genetic collections and mapping populations.Ĭlark, Randy T. The image-processing algorithm is implemented in the LHDetect2 software program accessible as a Web service at The results demonstrate that the proposed method is rapid, adequately assesses leaf pubescence density and the length distribution of trichomes and the data obtained using this method are significantly correlated with the density of trichomes on the leaf surface. ![]() Computer analysis of a photomicrograph of a transverse fold line of a leaf is proposed for quantitative evaluation of wheat leaf pubescence. An important step forward has been taken with the use of computer technologies. However, this trait has always been methodologically difficult to phenotype. Leaf pubescence (hairiness) in wheat plays an important biological role in adaptation to the environment. Sect Genet Grain Qual Dept Genet Resources Expt Plants Novosibirsk 630090 Russia Novosibirsk State UnivĬhair Informat Biol Novosibirsk 630090 Russia Lab Evolutionary Bioinformat & Theoret Genet Dept Syst Biol Novosibirsk 630090 Russia Inst Cytol & Genet SB RAS napus orthologs of the Arabidopsis thaliana genes SNOWY COTYLEDON 1 (SCO1), ARABIDOPSIS TWO-COMPONENT RESPONSE REGULATOR (ARR4), and ARRGINYL-t-RNA PROTEIN TRANSFERASE 1 (ATE1), which have been shown previously to play a role in seed germination and seedling growth in A. Several promising positional and functional candidate genes could be identified within the genomic regions associated with germination speed, absolute germination rate, radicle growth and thousand seed weight. Conditions during seed production and storage were shown to have a profound effect on seed vigor, and a variable manifestation of seed dormancy appears to contribute to differences in germination performance in B. ![]() The data obtained indicate that seed germination and radicle growth are strongly environmentally dependent, but could nevertheless be substantially improved by genomic-based breeding. Automated high-throughput in vitro phenotyping provided extensive data for multiple traits related to germination and early vigor, such as germination speed, absolute germination rate and radicle elongation. napus accessions was genotyped with the Brassica 60k SNP Illumina genotyping array. A population of 248 genetically diverse winter-type B. Here we carried out a genome-wide association study in order to define genomic regions influencing seed germination and early seedling growth in oilseed rape (Brassica napus L.). A disclosure of genetic factors contributing to adequate seed vigor would help to further increase yield potential and stability. Rapid and uniform seed germination is a crucial prerequisite for crop establishment and high yield levels in crop production. A disclosure of genetic factors contributing to adequate seed vigor would help to further i. Inst Genet Environm & Plant Protect Le Rheu France Grp Etude & Controle Varietes & Semences Univ Giessenĭept Plant Breeding D-35392 Giessen Germany Univ Giessenĭept Biometry & Populat Genet D-35392 Giessen Germany KWS SAAT AG Frisch, Matthias Breuer, Frank Nesi, Nathalie Ducoumau, Sylvie Wagner, Marie-Helene Leckband, Gunhild Abbadi, Amine Snowdon, Rod J. Properties of the proposed methods are investigated on both simulated data and data sets from the PM platform. The second approach employs functional principal component analysis. The first approach is based on quantifying the distance between mean or median curves from two treatments and then applying a permutation test we also consider a permutation test applied to areas under mean curves. Instead of the routinely used visual inspection of data with no sound inferential basis, we develop two approaches. We propose statistical methods for comparing phenomics data generated by the Biolog Phenotype Microarray (PM) platform for High-throughput phenotyping. Instead of the routinely used visual inspection of data with no s. Sturino, Joseph Zorych, Ivan Mallick, Bani Pokusaeva, Karina Chang, Ying-Ying Carroll, Raymond J.
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