Malosetti M, Visser R G F, Celis-Gamboa C, van Eeuwijk F A
C.T. de Wit Graduate School for Production Ecology and Resource Conservation (PE and RC), Laboratory of Plant Breeding, Wageningen University, P.O. Box 386, 6700 AJ, Wageningen, The Netherlands.
Theor Appl Genet. 2006 Jul;113(2):288-300. doi: 10.1007/s00122-006-0294-2. Epub 2006 May 20.
The improvement of quantitative traits in plant breeding will in general benefit from a better understanding of the genetic basis underlying their development. In this paper, a QTL mapping strategy is presented for modelling the development of phenotypic traits over time. Traditionally, crop growth models are used to study development. We propose an integration of crop growth models and QTL models within the framework of non-linear mixed models. We illustrate our approach with a QTL model for leaf senescence in a diploid potato cross. Assuming a logistic progression of senescence in time, two curve parameters are modelled, slope and inflection point, as a function of QTLs. The final QTL model for our example data contained four QTLs, of which two affected the position of the inflection point, one the senescence progression-rate, and a final one both inflection point and rate.
植物育种中数量性状的改良通常将受益于对其发育潜在遗传基础的更好理解。本文提出了一种QTL定位策略，用于对表型性状随时间的发育进行建模。传统上，作物生长模型用于研究发育。我们建议在非线性混合模型框架内将作物生长模型和QTL模型相结合。我们用一个二倍体马铃薯杂交种叶片衰老的QTL模型来说明我们的方法。假设衰老随时间呈逻辑进程，将两个曲线参数（斜率和拐点）建模为QTL的函数。我们示例数据的最终QTL模型包含四个QTL，其中两个影响拐点位置，一个影响衰老进程速率，最后一个同时影响拐点和速率。
