Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea.
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DOI：
10.3389/fpls.2016.01666
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发表时间：
2016
影响因子：
5.6
通讯作者：
Varshney RK
中科院分区：
文献类型：
--
作者：
Roorkiwal M;Rathore A;Das RR;Singh MK;Jain A;Srinivasan S;Gaur PM;Chellapilla B;Tripathi S;Li Y;Hickey JM;Lorenz A;Sutton T;Crossa J;Jannink JL;Varshney RK
与标记辅助回交（MABC）不同，基因组选择（GS）利用全基因组标记分析预测品系的育种价值，并允许在田间表型之前选择品系，从而缩短育种周期。在2011-12和2012-13两季雨养和灌溉条件下，在两个不同地点（印度德里和帕坦切鲁）选育了320个优良选育品系，并对产量和产量相关性状进行了广泛表型分析。同时，利用DArTseq平台对这些品系进行基因分型，生成3000个多态性标记的基因分型数据。表型分型和基因分型数据采用6种统计GS模型来估计预测精度。利用GS模型对种子产量、百粒重、开花至50%天数和成熟天数等4个产量相关性状进行了试验。各模型的预测精度在0.138（种子产量）~ 0.912（100粒重）之间变化，而各模型在性状内的预测精度无显著差异。利用基因分型数据计算的亲缘关系矩阵确认了所选品系中存在两个不同的类群。种群结构对预测精度的影响不大。总之，本研究为GS在鹰嘴豆育种中的应用奠定了必要的资源基础。
Genomic selection (GS) unlike marker-assisted backcrossing (MABC) predicts breeding values of lines using genome-wide marker profiling and allows selection of lines prior to field-phenotyping, thereby shortening the breeding cycle. A collection of 320 elite breeding lines was selected and phenotyped extensively for yield and yield related traits at two different locations (Delhi and Patancheru, India) during the crop seasons 2011–12 and 2012–13 under rainfed and irrigated conditions. In parallel, these lines were also genotyped using DArTseq platform to generate genotyping data for 3000 polymorphic markers. Phenotyping and genotyping data were used with six statistical GS models to estimate the prediction accuracies. GS models were tested for four yield related traits viz. seed yield, 100 seed weight, days to 50% flowering and days to maturity. Prediction accuracy for the models tested varied from 0.138 (seed yield) to 0.912 (100 seed weight), whereas performance of models did not show any significant difference for estimating prediction accuracy within traits. Kinship matrix calculated using genotyping data reaffirmed existence of two different groups within selected lines. There was not much effect of population structure on prediction accuracy. In brief, present study establishes the necessary resources for deployment of GS in chickpea breeding.
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影响因子：
3.3
作者：
Habier, D.;Fernando, R. L.;Dekkers, J. C. M.
通讯作者：
Dekkers, J. C. M.
影响因子：
3.3
作者：
de los Campos, Gustavo;Naya, Hugo;Cotes, Jose Miguel
通讯作者：
Cotes, Jose Miguel
影响因子：
5.3
作者：
Cuc, Luu M.;Mace, Emma S.;Crouch, Jonathan H.;Quang, Vu D.;Long, Tran D.;Varshney, Rajeev K.
通讯作者：
Varshney, Rajeev K.
鹰嘴豆野生祖先 Cicer reticulatum L. 的基因组序列草案为农艺性状改良提供了资源。
DOI：
10.1093/dnares/dsw042
发表时间：
2017-02-01
期刊：
DNA research : an international journal for rapid publication of reports on genes and genomes
影响因子：
--
作者：
Gupta S;Nawaz K;Parween S;Roy R;Sahu K;Kumar Pole A;Khandal H;Srivastava R;Kumar Parida S;Chattopadhyay D
通讯作者：
Chattopadhyay D
DOI：
10.1007/s00438-014-0932-3
发表时间：
2015-04
期刊：
Molecular genetics and genomics : MGG
影响因子：
--
作者：
Jaganathan D;Thudi M;Kale S;Azam S;Roorkiwal M;Gaur PM;Kishor PB;Nguyen H;Sutton T;Varshney RK
通讯作者：
Varshney RK