The objectives of this research were to understand pattern of temporal （year to year） stability in oil palm genotypes and then identify weather variable（s） associated with temporal stability. Stability analysis wa...The objectives of this research were to understand pattern of temporal （year to year） stability in oil palm genotypes and then identify weather variable（s） associated with temporal stability. Stability analysis was performed using the GGE biplot method. The best genotype in one year was not same always in the other year due to changes in the weather conditions over the years. Test environment evaluation revealed that the year 2000 （Y00） was the best representative of the overall environments and most powerful to discriminate genotypes with superior mean yield and temporal stability. The relationship of the climatic factors on the basis of their joint contribution to the development of specific trait varied from the pattern observed when their roles on the same traits were individually assessed. Maximum relative humidity, sunshine and rainfall could help explain the yield fluctuation due to their contribution to the overall yield variation. However, genotypes GI0 and G2 which exhibited high mean performance and stability for BN would be beneficial to the oil palm growers in ensuring steady cash flow from regular bunch yield production.展开更多
The orchestrated expression of thousands of genes gives rise to the complexity of the human brain.However,the structures governing these myriad gene-gene interactions remain unclear.By analyzing transcription data fro...The orchestrated expression of thousands of genes gives rise to the complexity of the human brain.However,the structures governing these myriad gene-gene interactions remain unclear.By analyzing transcription data from more than 2000 sites in six human brains,we found that pairwise interactions between genes,without considering any higher-order interactions,are sufficient to predict the transcriptional pattern of the genome for individual brain regions and the transcriptional profile of the entire brain consisting of more than 200 areas.These findings suggest a quadratic complexity of transcriptional patterns in the human brain,which is much simpler than expected.In addition,using a pairwise interaction model,we revealed that the strength of gene-gene interactions in the human brain gives rise to the nearly maximal number of transcriptional clusters,which may account for the functional and structural richness of the brain.展开更多
文摘The objectives of this research were to understand pattern of temporal （year to year） stability in oil palm genotypes and then identify weather variable（s） associated with temporal stability. Stability analysis was performed using the GGE biplot method. The best genotype in one year was not same always in the other year due to changes in the weather conditions over the years. Test environment evaluation revealed that the year 2000 （Y00） was the best representative of the overall environments and most powerful to discriminate genotypes with superior mean yield and temporal stability. The relationship of the climatic factors on the basis of their joint contribution to the development of specific trait varied from the pattern observed when their roles on the same traits were individually assessed. Maximum relative humidity, sunshine and rainfall could help explain the yield fluctuation due to their contribution to the overall yield variation. However, genotypes GI0 and G2 which exhibited high mean performance and stability for BN would be beneficial to the oil palm growers in ensuring steady cash flow from regular bunch yield production.
基金the National Key Research and Development Program of China(2017YFA0105203)the National Natural Science Foundation of China(81671855)+1 种基金Strategic Priority Research Program of the Chinese Academy of Sciences(XDB32040200)Beijing Academy of Artificial Intelligence,and Beijing Advanced Discipline Fund。
文摘The orchestrated expression of thousands of genes gives rise to the complexity of the human brain.However,the structures governing these myriad gene-gene interactions remain unclear.By analyzing transcription data from more than 2000 sites in six human brains,we found that pairwise interactions between genes,without considering any higher-order interactions,are sufficient to predict the transcriptional pattern of the genome for individual brain regions and the transcriptional profile of the entire brain consisting of more than 200 areas.These findings suggest a quadratic complexity of transcriptional patterns in the human brain,which is much simpler than expected.In addition,using a pairwise interaction model,we revealed that the strength of gene-gene interactions in the human brain gives rise to the nearly maximal number of transcriptional clusters,which may account for the functional and structural richness of the brain.
