کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8408658 1545075 2018 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Genomic selection methods for crop improvement: Current status and prospects
ترجمه فارسی عنوان
روش های انتخاب ژنومی برای بهبود محصول: وضعیت فعلی و چشم انداز
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
چکیده انگلیسی
With marker and phenotype information from observed populations, genomic selection (GS) can be used to establish associations between markers and phenotypes. It aims to use genome-wide markers to estimate the effects of all loci and thereby predict the genetic values of untested populations, so as to achieve more comprehensive and reliable selection and to accelerate genetic progress in crop breeding. GS models usually face the problem that the number of markers is much higher than the number of phenotypic observations. To overcome this issue and improve prediction accuracy, many models and algorithms, including GBLUP, Bayes, and machine learning have been employed for GS. As hot issues in GS research, the estimation of non-additive genetic effects and the combined analysis of multiple traits or multiple environments are also important for improving the accuracy of prediction. In recent years, crop breeding has taken advantage of the development of GS. The principles and characteristics of current popular GS methods and research progress in these methods for crop improvement are reviewed in this paper.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Crop Journal - Volume 6, Issue 4, August 2018, Pages 330-340
نویسندگان
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