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1. JIA-2021-2042   1964至2014年间中国育成玉米单交种的 籽粒灌浆特性演变规律研究
GAO Xing, LI Yong-xiang, YANG Ming-tao, LI Chun-hui, SONG Yan-chun, WANG Tian-yu, LI Yu, SHI Yun-su
Journal of Integrative Agriculture    2023, 22 (3): 691-700.   DOI: 10.1016/j.jia.2022.08.006
摘要220)      PDF    收藏

灌浆是籽粒形成的重要生理过程,直接决定最终产量。本研究以19642014年间在中国育成的50个代表性玉米单交种为试验材料,在多环境下对玉米籽粒灌浆特性演变规律进行研究。结果表明,籽粒灌浆快增期Effective grain filling phase)的灌浆速率(43.40%)与灌浆持续时间(54.46%)对百粒重的形成具有重要作用。同时发现,随着不同时期育成单交种百粒重的显著增加,实际灌浆期(Actual grain filling period durationAFPD)表现持续上升,每10年有效积温平均增加23.41 ℃day。但对生理成熟期Days from sowing to physiological maturity,DPM)而言,每10年有效积温仅平均增加19.76°C d,播种至吐丝的天数Days from sowing to silking, DTS占整个生理成熟期的比例明显降低,由上世纪60年代的53.24%降至本世纪初的49.78%2010s)。另外,还发现不同年代间中国育成单交种的各阶段籽粒灌浆速率均不存在显著差异,但籽粒灌浆相关性状的稳定性明显改善。本土育种家选育单交种与国外种子企业选育单交种的灌浆特性进行比较发现外来品种的籽粒快增期灌浆持续时间更长、灌浆相关性状的稳定性更高。根据本研究的结果,认为缩短播种至吐丝的天数,延长籽粒灌浆持续时间,提高籽粒灌浆速率,并继续提升籽粒灌浆相关性状的稳定性将有利于未来玉米品种产量的进一步提高。

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2.
Genome-wide identification and comparative analysis of drought related genes in roots of two maize inbred lines with contrasting drought tolerance by RNA sequencing
HAO Lu-yang, LIU Xu-yang, ZHANG Xiao-jing, SUN Bao-cheng, LIU Cheng, ZHANG Deng-feng, TANG Huai-jun, LI Chun-hui, LI Yong-xiang, SHI Yun-su, XIE Xiao-qing, SONG Yan-chun, WANG Tian-yu, LI Yu
Journal of Integrative Agriculture    2020, 19 (2): 449-464.   DOI: 10.1016/S2095-3119(19)62660-2
摘要174)      PDF    收藏
Drought is one of the most important abiotic stresses affecting maize growth and development and therefore resulting in yield loss.  Thus it is essential to understand molecular mechanisms of drought stress responses in maize for drought tolerance improvement.  The root plays a critical role in plants sensing water deficit.  In the present study, two maize inbred lines, H082183, a drought-tolerant line, and Lv28, a drought-sensitive line, were grown in the field and treated with different water conditions (moderate drought, severe drought, and well-watered conditions) during vegetative stage.  The transcriptomes of their roots were investigated by RNA sequencing.  There were 1 428 and 512 drought-responsive genes (DRGs) in Lv28, 688 and 3 363 DRGs in H082183 under moderate drought and severe drought, respectively.  A total of 31 Gene Ontology (GO) terms were significantly over-represented in the two lines, 13 of which were enriched only in the DRGs of H082183.  Based on results of Kyoto encyclopedia of genes and genomes (KEGG) enrichment analysis, “plant hormone signal transduction” and “starch and sucrose metabolism” were enriched in both of the two lines, while “phenylpropanoid biosynthesis” was only enriched in H082183.  Further analysis revealed the different expression patterns of genes related to abscisic acid (ABA) signal pathway, trehalose biosynthesis, reactive oxygen scavenging, and transcription factors might contribute to drought tolerance in maize.  Our results contribute to illustrating drought-responsive molecular mechanisms and providing gene resources for maize drought improvement.
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3. Transcriptomic profiling of sorghum leaves and roots responsive to drought stress at the seedling stage
ZHANG Deng-feng, ZENG Ting-ru, LIU Xu-yang, GAO Chen-xi, LI Yong-xiang, LI Chun-hui, SONG Yan-chun, SHI Yun-su, WANG Tian-yu, LI Yu
Journal of Integrative Agriculture    2019, 18 (9): 1980-1995.   DOI: 10.1016/S2095-3119(18)62119-7
摘要145)      PDF    收藏
Drought stress affects the growth and productivity of crop plants including sorghum.  To study the molecular basis of drought tolerance in sorghum, we conducted the transcriptomic profiling of sorghum leaves and roots under drought stress using RNA-Seq method.  A total of 510, 559, and 3 687 differentially expressed genes (DEGs) in leaves, 3 368, 5 093, and 4 635 DEGs in roots responding to mild drought, severe drought, and re-watering treatments were identified, respectively.  Among them, 190 common DEGs in leaves and 1 644 common DEGs in roots were responsive to mild drought, severe drought, and re-watering environment.  Gene Ontology (GO) enrichment analysis revealed that the GO categories related to drought tolerance include terms related to response to stimulus especially response to water deprivation, abscisic acid stimulus, and reactive oxygen species.  The major transcription factor genes responsive to drought stress include heat stress transcription factor (HSF), ethylene-responsive transcription factor (ERF), Petunia NAM, Arabidopsis ATAF1/2 and CUC2 (NAC), WRKY transcription factor (WRKY), homeodomain leucine zipper transcription factor (HD-ZIP), basic helix-loop-helix transcription factor (bHLH),  and V-myb myeloblastosis viral oncogene homolog transcription facotr (MYB).  Functional protein genes for heat shock protein (HSPs), late-embryogenesis-abundant protein (LEAs), chaperones, aquaporins, and expansins might play important roles in sorghum drought tolerance.  Moreover, the genomic regions enriched with HSP, expansin, and aquaporin genes responsive to drought stress could be used as powerful targets for improvement of drought tolerance in sorghum and other cereals.  Overall, our results provide a genome-wide analysis of DEGs in sorghum leaves and roots under mild drought, severe drought, and re-watering environments.  This study contributes to a better understanding of the molecular basis of drought tolerance of sorghum and can be useful for crop improvement.
 
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4. Beneficial effects of silicon on photosynthesis of tomato seedlings under water stress
ZHANG Yi, SHI Yu, GONG Hai-jun, ZHAO Hai-liang, LI Huan-li, HU Yan-hong, WANG Yi-chao
Journal of Integrative Agriculture    2018, 17 (10): 2151-2159.   DOI: 10.1016/S2095-3119(18)62038-6
摘要694)      PDF(pc) (930KB)(1005)    收藏
Silicon can improve drought tolerance of plants, but the mechanism still remains unclear.  Previous studies have mainly concentrated on silicon-accumulating plants, whereas less work has been conducted in silicon-excluding plants, such as tomato (Solanum lycopersicum L.).  In this study, we investigated the effects of exogenous silicon (2.5 mmol L–1) on the chlorophyll fluorescence and expression of photosynthesis-related genes in tomato seedlings (Zhongza 9) under water stress induced by 10% (w/v) polyethylene glycol (PEG-6000).  The results showed that under water stress, the growth of shoot and root was inhibited, and the chlorophyll and carotenoid concentrations were decreased, while silicon addition improved the plant growth and increased the concentrations of chlorophyll and carotenoid.  Under water sterss, chlorophyll fluorescence parameters such as PSII maximum photochemical efficiency (Fv/Fm), effective quantum efficiency, actual photochemical quantum efficiency (ФPSII), photosynthetic electron transport rate (ETR), and photochemical quenching coefficient (qP) were decreased; while these changes were reversed in the presence of added silicon.  The expressions of some photosynthesis-related genes including PetE, PetF, PsbP, PsbQ, PsbW, and Psb28 were down-regulated under water stress, and exogenous Si could partially up-regulate their expressions.  These results suggest that silicon plays a role in the alleviation of water stress by modulating some photosynthesis-related genes and regulating the photochemical process, and thus promoting photosynthesis.
 
 
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5. Simple nonlinear model for the relationship between maize yield and cumulative water amount
LIU Cheng SUN Bao-cheng, TANG Huai-jun, WANG Tian-yu LI Yu, ZHANG Deng-feng, XIE Xiao-qing, SHI Yun-su, SONG Yan-chun, YANG Xiao-hong, LI Jian-sheng
Journal of Integrative Agriculture    2017, 16 (04): 858-866.   DOI: 10.1016/S2095-3119(16)61493-4
摘要794)      PDF    收藏
Both the additive and multiplicative models of crop yield and water supply are polynomial equations, and the number of parameters increases linearly when the growing period is specified.  However, interactions among multiple parameters occasionally lead to unreasonable estimations of certain parameters, which were water sensitivity coefficients but with negative value.  Additionally, evapotranspiration must be measured as a model input.  To facilitate the application of these models and overcome the aforementioned shortcomings, a simple model with only three parameters was derived in this paper based on certain general quantitative relations of crop yield (Y) and water supply (W).  The new model, Y/YmWk/(Wk+whk), fits an S or a saturated curve of crop yield with the cumulative amount of water.  Three parameters are related to biological factors: the yield potential (Ym), the water requirement to achieve half of the yield potential (half-yield water requirement, wh), and the water sensitivity coefficient (k).  The model was validated with data from 24 maize lines obtained in the present study and 17 maize hybrids published by other authors.  The results showed that the model was well fit to the data, and the normal root of the mean square error (NRMSE) values were 2.8 to 17.8% (average 7.2%) for the 24 maize lines and 2.7 to 12.7% (average 7.4%) for the 17 maize varieties.  According to the present model, the maize water-sensitive stages in descending order were pollen shedding and silking, tasselling, jointing, initial grain ?lling, germination, middle grain ?lling, late grain ?lling, and end of grain ?lling.  This sequence was consistent with actual observations in the maize field.  The present model may be easily used to analyse the water use efficiency and drought tolerance of maize at specific stages.
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6. Framework of SAGI Agriculture Remote Sensing and Its Perspectives in Supporting National Food Security
SHI Yun, JI Shun-ping, SHAO Xiao-wei, TANG Hua-jun, WU Wen-bin, YANG Peng, ZHANG, Yong-jun , Shibasaki Ryosuke
Journal of Integrative Agriculture    2014, 13 (7): 1443-1450.   DOI: 10.1016/S2095-3119(14)60818-2
摘要1806)      PDF    收藏
Remote sensing, in particular satellite imagery, has been widely used to map cropland, analyze cropping systems, monitor crop changes, and estimate yield and production. However, although satellite imagery is useful within large scale agriculture applications (such as on a national or provincial scale), it may not supply sufficient information with adequate resolution, accurate geo-referencing, and specialized biological parameters for use in relation to the rapid developments being made in modern agriculture. Information that is more sophisticated and accurate is required to support reliable decision-making, thereby guaranteeing agricultural sustainability and national food security. To achieve this, strong integration of information is needed from multi-sources, multi-sensors, and multi-scales. In this paper, we propose a new framework of satellite, aerial, and groundintegrated (SAGI) agricultural remote sensing for use in comprehensive agricultural monitoring, modeling, and management. The prototypes of SAGI agriculture remote sensing are first described, followed by a discussion of the key techniques used in joint data processing, image sequence registration and data assimilation. Finally, the possible applications of the SAGI system in supporting national food security are discussed.
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7. Effects of Tillage Practices on Water Consumption, Water Use Efficiency and Grain Yield in Wheat Field
ZHENG Cheng-yan, YU Zhen-wen, SHI Yu, CUI Shi-ming, WANG Dong, ZHANG Yong-li, ZHAO Jun-ye
Journal of Integrative Agriculture    2014, 13 (11): 2378-2388.   DOI: 10.1016/S2095-3119(13)60733-9
摘要1606)      PDF    收藏
Water shortage is a serious issue threatening the sustainable development of agriculture in the North China Plain, with the winter wheat (Triticum aestivum L.) as its largest water-consuming crop. The effects of tillage practices on the water consumption and water use efficiency (WUE) of wheat under high-yield conditions using supplemental irrigation based on testing soil moisture dynamic change were examined in this study. This experiment was conducted from 2007 to 2010, with five tillage practice treatments, namely, strip rotary tillage (SR), strip rotary tillage after subsoiling (SRS), rotary tillage (R), rotary tillage after subsoiling (RS), and plowing tillage (P). The results showed that in the SRS and RS treatments the total water and soil water consumptions were 11.81, 25.18% and 12.16, 14.75% higher than those in SR and R treatments, respectively. The lowest ratio of irrigation consumption to total water consumption in the SRS treatment was 18.53 and 21.88% for the 2008-2009 and 2009- 2010 growing seasons, respectively. However, the highest percentage of water consumption was found in the SRS treatment from anthesis to maturity. No significant difference was found between the WUE of the flag leaf at the later filling stage in the SRS and RS treatments, but the flag leaf WUE at these stages were higher than those of other treatments. The SRS and RS treatments exhibited the highest grain yield (9 573.76 and 9 507.49 kg ha-1 for 3-yr average) with no significant difference between the two treatments, followed by P, R and SR treatments. But the SRS treatment had the highest WUE. Thus, the 1-yr subsoiling tillage, plus 2 yr of strip rotary planting operation may be an efficient measure to increase wheat yield and WUE.
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8. 禾谷镰孢Rpd3复合体亚基Sin3的错义突变回复fng1突变体缺陷的机制
Xu Huai-jian, Jiang Ruo-xuan, Fu Xian-hui, Wang Qin-hu, Shi Yu-tong, Zhao Xiao-fei, Jiang Cong, Jiang Hang
Journal of Integrative Agriculture    DOI: 10.1016/j.jia.2024.01.006
录用日期: 2024-02-01