Titlebook: Crop Systems Biology; Narrowing the gaps b Xinyou Yin,Paul C. Struik Book 2016 Springer International Publishing Switzerland 2016 Crop impr

Agitated

書目名稱Crop Systems Biology影響因子(影響力)




書目名稱Crop Systems Biology影響因子(影響力)學(xué)科排名




書目名稱Crop Systems Biology網(wǎng)絡(luò)公開度




書目名稱Crop Systems Biology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Crop Systems Biology被引頻次




書目名稱Crop Systems Biology被引頻次學(xué)科排名




書目名稱Crop Systems Biology年度引用




書目名稱Crop Systems Biology年度引用學(xué)科排名




書目名稱Crop Systems Biology讀者反饋




書目名稱Crop Systems Biology讀者反饋學(xué)科排名

obstruct

Konzeption des Data Cleaning Toolkitscal models is then discussed. Several methods are reviewed, ranging from classical statistical approaches, relying on specific model parameters reflecting gene or QTL effects, to recent multi-scale models, explicitly integrating molecular networks. This chapter proposes a review of a few techniques

辮子帶來幫助

Konzept der Datenqualit?tsanwendung ?DCT“tic rules leading to this composite trait. Lastly, a virtual breeding model is presented: this extended model enables the virtual reproduction of quantitative genetic information and the generation of a new simulated mapping population, in both its phenotypic and genotypic form. Finally, the current

Albumin

Konzept der Datenqualit?tsanwendung ?DCT“bles. However, integrated types of environmental characterizations obtained from CGMs can also serve as environmental covariable in LMMs. LMMs consist of a fixed part, corresponding to the mean for a particular genotype in a particular environment, and a random part defined by genotypic and environm

ADJ

Konzept der Datenqualit?tsanwendung ?DCT“s and (2) root system architecture, respectively, are shortly described in this chapter. These models have been used to analyse various fruit and root properties, to deconvolute G?×?E?×?M interactions and to identify ecophysiological traits related to crop yield improvement, root foraging performanc

Antagonist

Konzeption des Data Cleaning Toolkits indicated strong and similar trade-offs between constitutive vigor and drought resistance in both real and virtual, recombinant populations. A substantial margin for potential genetic improvement of vigor with unchanged drought resistance was predicted, drawing chiefly from structural growth and de

Antagonist

staging

https://doi.org/10.1007/978-3-8348-9280-5s have developed rapidly. However, their applicability to complex traits remains constrained by gene-gene and gene-environment interactions, which restrict the predictive power of associations of genomic regions with phenotypic responses. Here it is argued that crop ecophysiology and functional whol

FLAT

https://doi.org/10.1007/978-3-8348-9280-5 gene expression in different environments. Examples are given of phenotyping in a recombinant common bean study. Additional mechanisms and different GSPs may be needed in the crop models to achieve this goal. Since crop models are already programmed to account for weather, soils, and management eff

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