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Control of cotton pests and diseases by intercropping: A review
CHI Bao-jie, ZHANG Dong-mei, DONG He-zhong
2021, 20 (12): 3089-3100.   DOI: 10.1016/S2095-3119(20)63318-4
Abstract323)      PDF in ScienceDirect      
Cotton (Gossypium hirsutum L.) is a globally important crop that is often damaged by pests and diseases.  Current cotton pests and diseases management is dependent on chemical pesticides.  Although chemical pesticides are usually effective, long-term application of these pesticides often leads to increased insecticide resistance in the pests, fewer natural enemies, reduced natural control, and a degraded environment.  Because of increased environmental awareness and the need for sustainable cotton production, the control of cotton pests and diseases using biological means like intercropping is increasingly receiving attention.  Intercropping of cotton with other crops can often boost the total yield and output of the intercropping system and provide significant economic benefits without sacrificing cotton quality.  Intercropping also increases the number of natural enemies, and reduces the occurrence of cotton pests and diseases by altering the ecological structure and environmental conditions in the fields.  Cotton-based intercropping is an effective strategy to reduce the competition between cotton and grain or other economic crops for arable land.  It is also an important way to increase the populations of natural enemies in cotton fields for the management of pests and diseases.  However, inappropriate intercropping can also increase labor requirements and even result in inadequate control of pests and diseases.  This review focuses on the performance and the mechanisms of intercropping for reducing cotton pests and disease as well as on the effective management of intercropping systems.  The risks and limitations, as well as the study approaches needed and the prospects of intercropping for the control of cotton pests and diseases, are also discussed.  This information is intended to aid researchers and growers in designing economically viable and ecologically friendly pest and disease management strategies that will reduce the use of chemicals and the cost of cotton production.
 
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Effects of subsoiling depth, period interval and combined tillage practice on soil properties and yield in the Huang-Huai-Hai Plain, China
WANG Yun-xia, CHEN Shu-ping, ZHANG Dong-xing, YANG Li, CUI Tao, JING Hui-rong, LI Yu-huan
2020, 19 (6): 1596-1608.   DOI: 10.1016/S2095-3119(19)62681-X
Abstract160)      PDF in ScienceDirect      
Compaction layers are widely distributed in the Huang-Huai-Hai Plain, China, which restrict root growth and reduce yields.  The adoption of subsoiling has been recommended to disrupt compacted soil layers and create a reasonable soil structure for crop development.  In this paper, the effects of subsoiling depth (30, 35 and 40 cm), period interval (2 or 3 years) and combined pre-sowing tillage practice (rotary cultivation or ploughing) on soil condition improvement was studied on a tidal soil in the Huang-Huai-Hai Plain.  Seven tillage patterns were designed by combining different subsoiling depths, period intervals and pre-sowing.  The evaluation indicators for soil condition improvement were as follows: thickness of the plough layer and hard pan, soil bulk density, cone index, soil three-phase R values, alkali nitrogen content, crop yield, and economic benefits.  The results showed that subsoiling can significantly improve the soil structure and physical properties.  In all subsoiling treatments, the depth of 35 or 40 cm at a 2-year interval was the most significant.  The thickness of the plough layer increased from 13.67 cm before the test to 21.54–23.45 cm in 2018.  The thickness of the hard pan decreased from 17.68 cm before the test to 12.09–12.76 cm in 2018, a decrease of about 40.07%.  However, the subsoiling combined pre-sowing tillage practice, that is, rotary cultivation or ploughing, was not significant for soil structure and physical properties.  For all subsoiling treatments, the soil bulk density, cone index and soil three-phase R values of the 15–25 cm soil layer were significantly lower compared to single rotary cultivation.  Subsoiling was observed to increase the soil alkaline nitrogen and water contents.  The tillage patterns that had subsoiling at the depth of 35–40 cm at a 2-year interval combined with rotary cultivation had the highest alkali nitrogen and water contents, which increased by 31.08–34.23% compared with that of the single rotary cultivation.  Subsoiling can significantly increase the yield both of wheat and corn, as well as the economic benefits.  The treatment of subsoiling at the depth of 35 cm at an interval of 2 years combined with rotary cultivation had the highest annual yield and economic benefits.  For this treatment, the annual yield and economic benefits increased by 14.55 and 62.87% in 2018, respectively.  In conclusion, the tillage patterns that involved subsoiling at a depth of 35 cm at a 2-year interval along with rotary cultivation are suitable for the Huang-Huai-Hai Plain.
 
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Yield gap and production constraints of mango (Mangifera indica) cropping systems in Tianyang County, China
ZHANG Dong, WANG Chong, LI Xiao-lin
2019, 18 (8): 1726-1736.   DOI: 10.1016/S2095-3119(18)62099-4
Abstract148)      PDF in ScienceDirect      
Mango is an important cash crop in the tropics and subtropics.  Determining the yield gap of mango and production constraints can potentially promote the sustainable development of the mango industry.  In this study, boundary line analysis based on survey data from 103 smallholder farmers and a yield gap model were used to determine the yield gap and production constraints in mango plantations in the northern mountain, central valley and southern mountains regions of Tianyang County, Guangxi, China.  The results indicated that the yield of mango in three representing regions of Tianyang County, Northern Mountains, Central Valley and Southern Mountains, was 18.3, 17.0 and 15.4 t ha–1 yr–1, with an explainable yield gap of 10.9, 6.1 and 14.8 t ha–1 yr–1, respectively.  Fertilization management, including fertilizer N, P2O5 and K2O application rates, and planting density were the main limiting factors of mango yield in all three regions.  In addition, tree age influenced mango yield in the Northern Mountains (11.1%) and Central Valley (11.7%) regions.  Irrigation time influenced mango yield in the Northern Mountains (9.9%) and Southern Mountains (12.2%).  Based on a scenario analysis, the predicted yield would increase by up to 50%, and fertilizer N use would be reduced by as much as approximately 20%.  An improved understanding of production constraints will aid in the development of management strategy measures to increase mango yield.
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Correlation of production constraints with the yield gap of apple cropping systems in Luochuan County, China
ZHANG Dong, WANG Chong, LI Xiao-lin, YANG Xiu-shan, ZHAO Lu-bang, XIA Shao-jie
2019, 18 (8): 1714-1725.   DOI: 10.1016/S2095-3119(18)62098-2
Abstract131)      PDF in ScienceDirect      
Apple occupies a dominant position in fruit production globally, and has become the main income source of local smallholder farmers in Luochuan County in the Loess Plateau area, one of the largest apple production areas in China.  However, the annual productivity of apple orchards in this region remains low and has gradually declined over the years.  The distinction and correlation of production constraints can contribute to the promotion of apple orchard productivity and the development of a sustainable orchard system.  In the present study, survey data from 71 smallholder farmers were analyzed using a yield gap model to distinguish the production constraints and determine their correlation with the yield gap based on the structural equation model (SEM).  The results indicated that the average apple yield in Luochuan County was 29.9 t ha–1 yr–1, while the attainable yield (Yatt; the highest yield obtained from the on-farm surveys) was 58.1 t ha–1 yr–1.  The average explained and unexplainable yield gaps were 26.3 and 1.87 t ha–1 yr–1.  According to the boundary line analysis, crop load, number of sprayings and base fertilizer N were the top three constraints on apple production in 9.8, 7.8 and 7.8% of the plots, respectively.  Among the production constraints, crop load and fruit weight affected apple yield through direct pathways, whereas other constraints influenced apple yield through an indirect pathway based on the SEM, explaining 51% of the yield variance by all the main production constraints.  These results can improve the current understanding of production constraints and contribute to the development of management strategies and policies for improving apple yield.
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Downregulation of SL-ZH13 transcription factor gene expression decreases drought tolerance of tomato
ZHAO Ting-ting, WANG Zi-yu, BAO Yu-fang, ZHANG Xiao-chun, YANG Huan-huan, ZHANG Dong-ye, JIANG Jing-bin, ZHANG He, LI Jing-fu, CHEN Qing-shan, XU Xiang-yang
2019, 18 (7): 1579-1586.   DOI: 10.1016/S2095-3119(19)62621-3
Abstract293)      PDF in ScienceDirect      
Zinc finger-homeodomain proteins (ZF-HDs) are transcription factors that regulate plant growth, development, and abiotic stress tolerance.  The SL-ZH13 gene was found to be significantly upregulated under drought stress treatment in tomato (Solanum lycopersicum) leaves in our previous study.  In this study, to further understand the role that the SL-ZH13 gene plays in the response of tomato plants to drought stress, the virus-induced gene silencing (VIGS) method was applied to downregulate SL-ZH13 expression in tomato plants, and these plants were treated with drought stress to analyze the changes in drought tolerance.  The SL-ZH13 silencing efficiency was confirmed by quantitative real-time PCR (qRT-PCR) analysis.  In SL-ZH13-silenced plants, the stems wilted faster, leaf shrinkage was more severe than in control plants under the same drought stress treatment conditions, anyd the mean stem bending angle of SL-ZH13-silenced plants was smaller than that of control plants.  Physiological analyses showed that the activity of superoxide dismutase (SOD) and peroxidase (POD) and the content of proline (Pro) in SL-ZH13-silenced plants were lower than those in control plants after 1.5 and 3 h of drought stress treatment.  The malondialdehyde (MDA) content in SL-ZH13-silenced plants was higher than that in control plants after 1.5 and 3 h of drought stress treatment, and H2O2 and O2-· accumulated much more in the leaves of SL-ZH13-silenced plants than in the leaves of control plants.  These results suggested that silencing the SL-ZH13 gene affected the response of tomato plants to drought stress and decreased the drought tolerance of tomato plants. 
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Invasion, expansion, and control of Bactrocera dorsalis (Hendel) in China
LIU Huan, ZHANG Dong-ju, XU Yi-juan, WANG Lei, CHENG Dai-feng, QI Yi-xiang, ZENG Ling, LU Yong-yue
2019, 18 (4): 771-787.   DOI: 10.1016/S2095-3119(18)62015-5
Abstract355)      PDF (818KB)(287)      
The Oriental fruit fly, Bactrocera dorsalis (Hendel), is among the most destructive fruit/vegetable-eating agricultural pests in the world, particularly in Asian countries such as China.  Because of its widespread distribution, invasive ability, pest status, and economic losses to fruit and vegetable crops, this insect species is viewed as an organism warranting severe quarantine restrictions by many countries in the world.  To understand the characteristics and potential for expansion of this pest, this article assembled current knowledge on the occurrence and comprehensive control of the Oriental fruit fly in China concerning the following key aspects: invasion and expansion process, biological and ecological characteristics, dynamic monitoring, chemical ecology, function of symbionts, mechanism of insecticide resistance, control index, and comprehensive control and countermeasures.  Some suggestions for the further control and study of this pest are also proposed.
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Rice cultivation changes and its relationships with geographical factors in Heilongjiang Province, China
LU Zhong-jun, SONG Qian, LIU Ke-bao, WU Wen-bin, LIU Yan-xia, XIN Rui, ZHANG Dong-mei
2017, 16 (10): 2274-2282.   DOI: 10.1016/S2095-3119(17)61705-2
Abstract663)      PDF in ScienceDirect      
Rice planting patterns have changed dramatically over the past several decades in northeast China (NEC) due to the combined influence of global change and agricultural policy.  Except for its great implications for environmental protection and climate change adaption, the spatio-temporal changes of rice cultivation in NEC are not clear.  In this study, we conducted spatio-temporal analyses of NEC’s major rice production region, Heilongjiang Province, by using satellite-derived rice cultivation maps.  We found that the total cultivated area of rice in Heilongjiang Province increased largely from 1993 to 2011 and it expanded spatially to the northern and eastern part of the Sanjiang Plain.  The results also showed that rice cultivation areas experienced a larger increase in the region managed by the Reclamation Management Bureau (RMB) than that managed by the local provincial government.  Rice cultivation changes were closely related with those geographic factors over the investigated periods, represented by the geomorphic (slope), climatic (accumulated temperature), and hydrological (watershed) variables.  These findings provide clear evidence that crop cultivation in NEC has been modified to better cope with the global change.
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Identification and characterization of the GH3 gene family in maize
ZHANG Dong-feng, ZHANG Nan, ZHONG Tao, WANG Chao, XU Ming-liang, YE Jian-rong
2016, 15 (2): 249-261.   DOI: 10.1016/S2095-3119(15)61076-0
Abstract2111)      PDF in ScienceDirect      
The phytohormone auxin plays a central role in coordinating plant growth and development. GH3 is one of the three gene families that respond rapidly during auxin stimulation. Here, we report the identification and characterization of the GH3 gene family in maize. A total of 12 GH3 genes were identified, which are not evenly distributed over the 10 maize chromosomes. Maize GH3 protein sequences share a conserved domain which occupies nearly the entire protein. Diversified cis-elements were found in promoters of maize GH3 genes. In this study, the 12 maize GH3 proteins were primarily classified into two phylogenetic groups, similar to the 13 rice GH3 proteins, while 9 of the 19 Arabidopsis GH3 proteins were observed in the third phylogenetic group. Microarray analysis showed that expression of maize GH3 genes is temporally and spatially modulated. Additionally, maize GH3 genes displayed variable changes at transcript level upon pathogen infection. Results presented here provide insight into the diversification and evolution of GH3 proteins, and lay a foundation for the functional characterization of these GH3 genes in future, especially for elucidating the mechanisms of GH3-mediated pathogenesis.
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Myeloid zinc finger 1 (MZF1) is the most important transcriptional factor for porcine follistatin promoter
SUN Ya-meng, WANG Liang, YANG Xiu-qin, ZHANG Dong-jie, LIU Di
2015, 14 (7): 1383-1389.   DOI: 10.1016/S2095-3119(14)60893-5
Abstract1958)      PDF in ScienceDirect      
Follistatin (FS) is a secreted protein, which was originally isolated from porcine follicular fluid. Expression of follistatin is tightly regulated during porcine growth and development. To study the essential transcriptional regions of the porcine FS promoter, ten primer pairs were designed to amplify segments with different lengths of the FS promoter from –1 800 to +16 bp. The products were then inserted into the pGL3-basic vector to analyze the relative luciferase activity. The results showed that the most remarkable changes of promoter activity were observed between constructs (–302/+16 bp)-FS and (–180/+16 bp)-FS (P<0.01). Further research showed that the reconstructed reporter plasmid lacking myeloid zinc finger 1 (MZF1) binding sequence had significantly decreased luciferase activity (P<0.05). Furthermore, the FS protein expression was significantly increased in PK15 cells while the MZF1 was overexpressed, suggesting that the short sequence “TCCCCACC” (the recognition site of transcription factor MZF1) was the most important for FS transcription activation in the porcine.
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Comparative genetic mapping revealed powdery mildew resistance gene MlWE4 derived from wild emmer is located in same genomic region of Pm36 and Ml3D232 on chromosome 5BL
ZHANG Dong, OUYANG Shu-hong, WANG Li-li, CUI Yu, WU Qiu-hong, LIANG Yong, WANG Zhen-zhong, XIE Jing-zhong, ZHANG De-yun, WANG Yong, CHEN Yong-xing, LIU Zhi-yong
2015, 14 (4): 603-609.   DOI: 10.1016/S2095-3119(14)60774-7
Abstract1674)      PDF in ScienceDirect      
Powdery mildew, caused by Blumeria graminis f. sp. tritici, is one of the most devastating wheat diseases. Wild emmer wheat (Triticum turgidum ssp. dicoccoides) is a promising source of disease resistance for wheat. A powdery mildew resistance gene conferring resistance to B. graminis f. sp. tritici isolate E09, originating from wild emmer wheat, has been transferred into the hexaploid wheat line WE4 through crossing and backcrossing. Genetic analyses indicated that the powdery mildew resistance was controlled by a single dominant gene, temporarily designated MlWE4. By mean of comparative genomics and bulked segregant analysis, a genetic linkage map of MlWE4 was constructed, and MlWE4 was mapped on the distal region of chromosome arm 5BL. Comparative genetic linkage maps showed that genes MlWE4, Pm36 and Ml3D232 were co-segregated with markers XBD37670 and XBD37680, indicating they are likely the same gene or alleles in the same locus. The co-segregated markers provide a starting point for chromosome landing and map-based cloning of MlWE4, Pm36 and Ml3D232.
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Spectroscopic Leaf Level Detection of Powdery Mildew for Winter Wheat Using Continuous Wavelet Analysis
ZHANG Jing-cheng, YUAN Lin, WANG Ji-hua, HUANG Wen-jiang, CHEN Li-ping, ZHANG Dong-yan
2012, 12 (9): 1474-1484.   DOI: 10.1016/S1671-2927(00)8679
Abstract1611)      PDF in ScienceDirect      
Powdery mildew (Blumeria graminis) is one of the most destructive crop diseases infecting winter wheat plants, and has devastated millions of hectares of farmlands in China. The objective of this study is to detect the disease damage of powdery mildew on leaf level by means of the hyperspectral measurements, particularly using the continuous wavelet analysis. In May 2010, the reflectance spectra and the biochemical properties were measured for 114 leaf samples with various disease severity degrees. A hyperspectral imaging system was also employed for obtaining detailed hyperspectral information of the normal and the pustule areas within one diseased leaf. Based on these spectra data, a continuous wavelet analysis (CWA) was carried out in conjunction with a correlation analysis, which generated a so-called correlation scalogram that summarizes the correlations between disease severity and the wavelet power at different wavelengths and decomposition scales. By using a thresholding approach, seven wavelet features were isolated for developing models in determining disease severity. In addition, 22 conventional spectral features (SFs) were also tested and compared with wavelet features for their efficiency in estimating disease severity. The multivariate linear regression (MLR) analysis and the partial least square regression (PLSR) analysis were adopted as training methods in model development. The spectral characteristics of the powdery mildew on leaf level were found to be closely related with the spectral characteristics of the pustule area and the content of chlorophyll. The wavelet features performed better than the conventional SFs in capturing this spectral change. Moreover, the regression model composed by seven wavelet features outperformed (R2=0.77, relative root mean square error RRMSE=0.28) the model composed by 14 optimal conventional SFs (R2=0.69, RRMSE=0.32) in estimating the disease severity. The PLSR method yielded a higher accuracy than the MLR method. A combination of CWA and PLSR was found to be promising in providing relatively accurate estimates of disease severity of powdery mildew on leaf level.
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Genetic Structure and Eco-Geographical Differentiation of Cultivated Keng Rice (Oryza sativa L. subsp. japonica) in China Revealed by Microsatellites
ZHANG Dong-ling, WANG Mei-xing, QI Yong-wen, SUNJun-li , WANG Feng-mei, LI Jin-jie, ZHANG Hong-liang, and LI Zi-chao
2012, 12 (11): 1755-1766.   DOI: 10.1016/S1671-2927(00)8710
Abstract1192)      PDF in ScienceDirect      
China is one of the largest centers of genetic diversity of Oryza sativa L. and is the original centers of Oryza sativa L. subspecies japonica. Using a genetically representative core collection of 1 442 rice landraces of japonica in China, the genetic structure, differentiation, and geographic diversity were analyzed. The model-based structure analysis on varieties within three ecotypes revealed 16 eco-geographical types, which are partially accorded with some of the ecological zones in China. The differentiation of eco-geographical types contributed to the local ecological adaption and physical isolation, and maybe could be used to develop the heterotic groups of japonica. To facilitate the identification of different ecotypes and eco-geographical types, we provided the SSR character alleles of each ecotype or geographical eco-group and a rapid discriminated method based on these character alleles. Lastly, investigation on genetic diversity, genetic differentiation indicated that southwest region of China, including south of Yunnan Province, northwest of Guangxi Zhuang Autonomous Region, and southwest of Guizhou Province, possessed the highest genetic diversity and all the necessary conditions as a center of genetic diversity and should be the center of genetic diversity of rice landraces of japonica in China.
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