|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Identification and screening of nitrogenefficient cotton genotypes under low and normal nitrogen environments at the seedling stage显示文摘Background: Large quantities of nitrogen(N) fertilizer applied to cotton cropping systems support high yields but cause adverse environmental impacts such as N_20 emission and water eutrophication. The development of cotton cultivars with higher N use efficiencies suitable for low-N conditions is therefore important for sustainable production. In this study, we evaluated 100 cotton genotypes in 2016 for N use efficiency and related traits at the seedling stage.Methods: Sand culture experiment was conducted with low N levels(0.01 g·kg^(-1)) or normal N levels(0.1 g·kg^(-1)).We investigated plant height, SPAD value(soil plant analysis development chlorophyll meter), dry weight, N accumulation, N utilization efficiency, and N uptake efficiency. Through descriptive statistics, principal component analysis and heatmap clustering analysis, we confirmed the evaluation index system of N-efficient genotypes and the classification of N-efficient genotypes.Results: Significant differences were observed among N levels and genotypes for all agronomic traits and N levels.Coefficients of variation varied greatly and ranged from 6.7~28.8 and 7.4~20.8 under low-N and normal-N treatment, respectively. All traits showed highly significant positive correlations with each other, except SPAD value.The principal components under both N levels were similar, showing that total dry weight, aboveground dry weight, total N accumulation, and N uptake efficiency were important components. We confirmed these four traits as suitable screening indexes for low N tolerance. Based on the results of heatmap clustering and scatter diagram analysis of N efficiency value, 10 genotypes were found low-N tolerant, in which five varieties were inefficient under both low and normal N conditions, while four varieties were found efficient under low-N conditions but inefficient under normal-N conditions. Only one variety was efficient under both low and normal-N conditions. Meanwhile, 20 genotypes were identified as low-N sensitive ones, in which 19 genotypes were inefficient under low-N conditions but efficient under normal-N conditions, one variety was inefficient under both low and normal-N conditions.Conclusion: We preliminarily identified Kashi as a low-N tolerant and N-efficient cotton genotype, and CCRI 64 as a lowN sensitive and N-inefficient cotton genotype. Further studies should be carried out to verify the yield and heritability effect of specific genotypes in the field. | ZHANG Hengheng FU Xiaoqiong WANG Xiangru GUI Huiping DONG Qiang PANG Nianchang WANG Zhun ZHANG Xiling SONG Meizhen | 2018 | Journal of Cotton Research2018，1，2： | 9 |
| 2 | Screening and evaluation of reliable traits of upland cotton(Gossypium hirsutum L.)genotypes for salt tolerance at the seedling growth stage显示文摘Background:Salt stress significantly inhibits the growth,development,and productivity of cotton because of osmotic,ionic,and oxidative stresses.Therefore,the screening and development of salt tolerant cotton cultivars is a key issue towards sustainable agriculture.This study subjected 11 upland cotton genotypes at the seedling growth stage to five different salt concentrations and evaluated their salt tolerance and reliable traits.Results:Several morpho-physiological traits were measured after 10 days of salinity treatment and the salt tolerance performance varied significantly among the tested cotton genotypes.The optimal Na Cl concentration for the evaluation of salt tolerance was 200 mmol·L-1.Membership function value and salt tolerance index were used to identify the most consistent salt tolerance traits.Leaf relative water content and photosynthesis were identified as reliable indicators for salt tolerance at the seedling stage.All considered traits related to salt tolerance indices were significantly and positively correlated with each other except for malondialdehyde.Cluster heat map analysis based on the morpho-physiological salt tolerance-indices clearly discriminated the 11 cotton genotypes into three different salt tolerance clusters.Cluster I represented the salt-tolerant genotypes(Z9807,Z0228,and Z7526)whereas clusters II(Z0710,Z7514,Z1910,and Z7516)and III(Z0102,Z7780,Z9648,and Z9612)represented moderately salttolerant and salt-sensitive genotypes,respectively.Conclusions:A hydroponic screening system was established.Leaf relative water content and photosynthesis were identified as two reliable traits that adequately represented the salt tolerance of cotton genotypes at the seedling growth stage.Furthermore,three salt-tolerant genotypes were identified,which might be used as genetic resources for the salt-tolerance breeding of cotton. | SIKDER Ripon Kumar WANG Xiangru JIN Dingsha ZHANG Hengheng GUI Huiping DONG Qiang PANG Nianchang ZHANG Xiling SONG Meizhen | 2020 | Journal of Cotton Research2020，3，2： | 5 |
| 3 | Multicenter phaseⅡstudy of apatinib single or combination therapy in HER2-negative breast cancer involving chest wall metastasis显示文摘Objective:Breast cancer(BC)with chest wall metastasis(CWM)usually shows rich neovascularization.This trial explored the clinical effect of apatinib on human epidermal growth factor receptor 2(HER2)-negative advanced BC involving CWM.Methods:This trial involved four centers in China and was conducted from September 2016 to March 2020.Patients received apatinib 500 mg/d[either alone or with endocrine therapy if hormone receptor-positive(HR+)]until disease progression or unacceptable toxicity.Progression-free survival(PFS)was the primary endpoint.Results:We evaluated 26 patients for efficacy.The median PFS(mPFS)and median overall survival(mOS)were4.9[range:2.0-28.5;95%confidence interval(95%CI):2.1-8.3]months and 18(range:3-55;95%CI:12.9-23.1)months,respectively.The objective response rate(ORR)was 42.3%(11/26),and the disease-control rate was76.9%(20/26).In the subgroup analysis,HR+patients compared with HR-negative patients had significantly improved mPFS of 7.0(95%CI:2.2-11.8)months vs.2.3(95%CI:1.2-3.4)months,respectively(P=0.001);and mPFS in patients without or with chest wall radiotherapy was 6.4(95%CI:1.6-19.5)months vs.3.0(95%CI:1.3-4.6)months,respectively(P=0.041).In the multivariate analysis,HR+status was the only independent predictive factor for favorable PFS(P=0.014).Conclusions:Apatinib was highly effective for BC patients with CWM,especially when combined with endocrine therapy.PFS improved significantly in patients with HR+status who did not receive chest wall radiotherapy.However,adverse events were serious and should be carefully monitored from the beginning of apatinib treatment. | Huiping Li Cuizhi Geng Hongmei Zhao Hanfang Jiang Guohong Song Jiayang Zhang Yaxin Liu Xinyu Gui Jing Wang Kun Li Zhongsheng Tong Fangyuan Zhao Junlan Yang Guoliang Chen Qianyu Liu Xu Liang | 2021 | Chinese Journal of Cancer Research2021，33，2： | 4 |
| 4 | Early ABA-stimulated maintenance of Cl^(−) homeostasis by mepiquat chloride priming confers salt tolerance in cotton seeds显示文摘Mepiquat chloride(MC)priming alleviates the effects of salt stress during seed germination in cotton(Gossypium hirsutum L.),but the mechanisms underlying its effects are unknown.We found that MC priming increases salt tolerance,as evidenced by marked increases in seed vigor and germination rates,and alleviated salt toxicity by reducing Cl^(−)accumulation in germinating seeds.Consistently,electrophysiological experiments revealed that the seeds with MC priming displayed superior Cl^(−)exclusion ability in the root apex.These beneficial effects of MC priming were abolished by the abscisic acid(ABA)-synthesis blocker fluridone under salt stress.MC priming induced an early response to acclimatization and stress,as indicated by rapidly increasing ABA content during initial exposure to salt stress.Transcriptome analyses revealed that MC priming induced an array of differentially expressed genes(DEGs)in germinating seeds.The most noticeable changes in germinating seeds were MC priming-induced increases in the expression of DEGs encoding components of ABA biosynthesis,ABA catabolism,and ABA signaling pathways under salt stress.MC priming also increased the expression of some DEGs encoding Cl^(−)ion transporters(e.g.CCC,SLAC1/SLAH1/SLAH3,CLC,and ALMT9)in germinating seeds.These results indicate that MC priming-induced ABA contributes to Cl^(−)homeostasis in tissues and acts as a positive regulator of salt tolerance via regulation of Cl^(−)transporters(particularly CCC and SLAC1/SLAH1/SLAH3).Taken together,these findings shed light on the molecular mechanism underlying MC-mediated tolerance to salt stress during seed germination. | Ning Wang Xiangru Wang Hengheng Zhang Xiaohong Liu Jianbin Shi Qiang Dong Qinghua Xu Huiping Gui Meizhen Song Gentu Yan | 2021 | The Crop Journal2021，9，2： | 2 |
| 5 | A Robust Transfer Dictionary Learning Algorithm for Industrial Process Monitoring显示文摘Data-driven process-monitoring methods have been the mainstream for complex industrial systems due to their universality and the reduced need for reaction mechanisms and first-principles knowledge.However,most data-driven process-monitoring methods assume that historical training data and online testing data follow the same distribution.In fact,due to the harsh environment of industrial systems,the collected data from real industrial processes are always affected by many factors,such as the changeable operating environment,variation in the raw materials,and production indexes.These factors often cause the distributions of online monitoring data and historical training data to differ,which induces a model mismatch in the process-monitoring task.Thus,it is difficult to achieve accurate process monitoring when a model learned from training data is applied to actual online monitoring.In order to resolve the problem of the distribution divergence between historical training data and online testing data that is induced by changeable operation environments,a robust transfer dictionary learning(RTDL)algorithm is proposed in this paper for industrial process monitoring.The RTDL is a synergy of representative learning and domain adaptive transfer learning.The proposed method regards historical training data and online testing data as the source domain and the target domain,respectively,in the transfer learning problem.Maximum mean discrepancy regularization and linear discriminant analysis-like regularization are then incorporated into the dictionary learning framework,which can reduce the distribution divergence between the source domain and target domain.In this way,a robust dictionary can be learned even if the characteristics of the source domain and target domain are evidently different under the interference of a realistic and changeable operation environment.Such a dictionary can effectively improve the performance of process monitoring and mode classification.Extensive experiments including a numerical simulation and two industrial systems are conducted to verify the efficiency and superiority of the proposed method. | Chunhua Yang Huiping Liang Keke Huang Yonggang Li Weihua Gui | 2021 | Engineering2021，7，9： | 0 |
| 6 | Genotypic variation in root morphology, cotton subtending leaf physiology and fiber quality against nitrogen显示文摘Background:Nitrogen(N)is important for improving various morphological and physiological processes of cotton but their contribution to fiber quality is still lacking.Aims:The current study aimed to explore the relationship between root morphology,subtending leaf physiology,and fiber quality of contrasting N-efficient cotton genotypes in response to N.Methods:We analyzed the above parameters of CCRI 69(N-efficient)and Xinluzao-30(XLZ-30,N-inefficient)under control(2.5 mmol·L^(-1))and high N(5 mmol·L^(-1))conditions.Results:The results showed that root morphological traits were increased in CCRI-69 under control conditions than high N.Subtending leaf morphology,chlorophyll and carotenoid contents,free amino acids,and soluble proteins were higher under high N as compared with the control.However,soluble sugars,fructose,sucrose contents,and sucrose phosphate synthase were higher under control conditions than high N across the growth stages.Irrespective of the N conditions,all morphological and physiological traits of cotton subtending leaf were higher in CCRI-69 than XLZ-30.Except for fiber uniformity,fiber quality traits like fiber length,strength,micronaire,and elongation were improved under control conditions than high N.Between the genotypes,CCRI-69 had significantly higher fiber length,strength,micronaire,and elongation as compared with XLZ-30.Strong positive correlations were found between root morphology,soluble sugars,sucrose content,and sucrose phosphate synthase activity with fiber quality traits,respectively.Conclusions:These findings suggest that CCRI-69 performed better in terms of growth and fiber quality under relatively low N condition,which will help to reduce fertilizer use,the cost of production,and environmental pollution. | ASIF Iqbal DONG Qiang WANG Xiangru GUI Huiping ZHANG Hengheng PANG Nianchang ZHANG Xiling SONG Meizhen | 2021 | Journal of Cotton Research2021，4，4： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员