Bayesian estimation of multi-allele QTLs for agricultural traits in tomato using recombinant inbred lines derived from two F1 hybrid cultivars

Plant phenotype measurements for large numbers of samples are typically labor-intensive and challenging, especially for traits that require destructive measurements. To improve the efficiency of phenotypic measurement, we evaluated the accuracy of nondestruct ive measu rement of i nd iv idua l lea f a rea ( L A ) a nd st em leng t h (SL) of tomato segregating lines, derived from a cross between Japanese and Dutch F1 varieties, using a Kinect game console as a 3-D sensor in this study. Two types of software were used for nondestructive measurements using the sensor: one for measuring LA and another for measuring SL. The values obtained were compared with the actual values obtained using destructive measurement. The results showed that the correlation coefficients between the SL values obtained using destructive and nondestructive measurements (kPH) ranged from 0.95 to 0.99, indicating a very high accuracy throughout the 91-day cultivation peri- 深度センサーを用いた茎長・葉面積の非破壊計測の精度評価とトマトの表現型予測への応用可能性大山暁男

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Bayesian estimation of multi-allele QTLs for agricultural traits in tomato using recombinant inbred lines derived from two F1 hybrid cultivars

Cited by 3 publications

References 71 publications

Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review

Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review

Whole-genome resequencing of Japanese large-sized tomato cultivars provides insights into the history of modern breeding

深度センサーを用いた茎長・葉面積の非破壊計測の精度評価とトマトの表現型予測への応用可能性

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