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Integrating phosphorus management and cropping technology for sustainable maize production

Haiqing Gong, Yue Xiang, Jiechen Wu, Laichao Luo, Xiaohui Chen, Xiaoqiang Jiao, Chen Chen
2024, 23 (4): 1369-1380.   DOI: 10.1016/j.jia.2023.10.018
Abstract139)      PDF in ScienceDirect      

Achieving high maize yields and efficient phosphorus (P) use with limited environmental impacts is one of the greatest challenges in sustainable maize production.  Increasing plant density is considered an effective approach for achieving high maize yields.  However, the low mobility of P in soils and the scarcity of natural P resources have hindered the development of methods that can simultaneously optimize P use and mitigate the P-related environmental footprint at high plant densities.  In this study, meta-analysis and substance flow analysis were conducted to evaluate the effects of different types of mineral P fertilizer on maize yield at varying plant densities and assess the flow of P from rock phosphate mining to P fertilizer use for maize production in China.  A significantly higher yield was obtained at higher plant densities than at lower plant densities.  The application of single super-phosphate, triple super-phosphate, and calcium magnesium phosphate at high plant densities resulted in higher yields and a smaller environmental footprint than the application of diammonium phosphate and monoammonium phosphate.  Our scenario analyses suggest that combining the optimal P type and application rate with a high plant density could increase maize yield by 22%.  Further, the P resource use efficiency throughout the P supply chain increased by 39%, whereas the P-related environmental footprint decreased by 33%.  Thus, simultaneously optimizing the P type and application rate at high plant densities achieved multiple objectives during maize production, indicating that combining P management with cropping techniques is a practical approach to sustainable maize production.  These findings offer strategic, synergistic options for achieving sustainable agricultural development.

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A novel mutation in ACS11 leads to androecy in cucumber
WANG Jie, LI Shuai, CHEN Chen, ZHANG Qi-qi, ZHANG Hui-min, CUI Qing-zhi, CAI Guang-hua, ZHANG Xiao-peng, CHAI Sen, WAN Li, YANG Xue-yong, ZHANG Zhong-hua, HUANG San-wen, CHEN Hui-ming, SUN Jin-jing
2023, 22 (11): 3312-3320.   DOI: 10.1016/j.jia.2023.03.003
Abstract199)      PDF in ScienceDirect      

Sex determination in plants gives rise to unisexual flowers.  A better understanding of the regulatory mechanism underlying the production of unisexual flowers will help to clarify the process of sex determination in plants and allow researchers and farmers to harness heterosis.  Androecious cucumber (Cucumis sativus L.) plants can be used as the male parent when planted alongside a gynoecious line to produce heterozygous seeds, thus reducing the cost of seed production.  The isolation and characterization of additional androecious genotypes in varied backgrounds will increase the pool of available germplasm for breeding.  Here, we discovered an androecious mutant in a previously generated ethyl methanesulfonate (EMS)-mutagenized library of the cucumber inbred line ‘406’.  Genetic analysis, whole-genome resequencing, and molecular marker-assisted verification demonstrated that a nonsynonymous mutation in the ethylene biosynthetic gene 1-AMINOCYCLOPROPANE-1-CARBOXYLATE SYNTHASE 11 (ACS11) conferred androecy.  The mutation caused an amino acid change from serine (Ser) to phenylalanine (Phe) at position 301 (S301F).  In vitro enzyme activity assays revealed that this S301F mutation leads to a complete loss of enzymatic activity.  This study provides a new germplasm for use in cucumber breeding as the androecious male parent, and it offers new insights into the catalytic mechanism of ACS enzymes.

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Detection and enumeration of wheat grains based on a deep learning method under various scenarios and scales
WU Wei, YANG Tian-le, LI Rui, CHEN Chen, LIU Tao, ZHOU Kai, SUN Cheng-ming, LI Chun-yan, ZHU Xin-kai, GUO Wen-shan
2020, 19 (8): 1998-2008.   DOI: 10.1016/S2095-3119(19)62803-0
Abstract145)      PDF in ScienceDirect      
Grain number is crucial for analysis of yield components and assessment of effects of cultivation measures.  The grain number per spike and thousand-grain weight can be measured by counting grains manually, but it is time-consuming, tedious and error-prone.  Previous image processing algorithms cannot work well with different backgrounds and different sizes.  This study used deep learning methods to resolve the limitations of traditional image processing algorithms.  Wheat grain image datasets were collected in the scenarios of three varieties, six background and two image acquisition devices with different heights, angles and grain numbers, 1 748 images in total.  All images were processed through color space conversion, image flipping and rotation.  The grain was manually annotated, and the datasets were divided into training set, validation set and test set.  We used the TensorFlow framework to construct the Faster Region-based Convolutional Neural Network Model.  Using the transfer learning method, we optimized the wheat grain detection and enumeration model.  The total loss of the model was less than 0.5 and the mean average precision was 0.91.  Compared with previous grain counting algorithms, the grain counting error rate of this model was less than 3% and the running time was less than 2 s.  The model can be effectively applied under a variety of backgrounds, image sizes, grain sizes, shooting angles, and shooting heights, as well as different levels of grain crowding.  It constitutes an effective detection and enumeration tool for wheat grain.  This study provides a reference for further grain testing and enumeration applications.
 
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An EMS mutant library for cucumber
CHEN Chen, CUI Qing-zhi, HUANG San-wen, WANG Shen-hao, LIU Xiao-hong, LU Xiang-yang, CHEN Hui-ming, TIAN Yun
2018, 17 (07): 1612-1619.   DOI: 10.1016/S2095-3119(17)61765-9
Abstract385)      PDF (25875KB)(190)      
Cucumber is an important vegetable crop and a model crop for the study of sex expression in plants.  However, the genomic resources and tools for functional genomics studies in cucumber are still limited.  In this paper, we conducted ethyl methyl sulfone (EMS) mutagenesis in the northern China ecotype cucumber inbred line 406 to construct a mutant library.  We optimized the conditions of EMS mutagenesis on inbred line 406 which included treatment of seeds at 1.5% EMS for 12 h.  We obtained a number of mutant lines showing inheritable morphological changes in plant architecture, leaves, floral organs, fruits and other traits through M1, M2 and M3 generations.  The F2 segregating populations were constructed and analyzed.We found that a short fruit mutant and a yellow-green fruit peel mutant were both under the control of a single recessive gene, respectively.  These results provide valuable germplasm resources for the improvement of cucumber genetics and functional genomic research.
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Evaluating the grassland net primary productivity of southern China from 2000 to 2011 using a new climate productivity model
SUN Cheng-ming, ZHONG Xiao-chun, CHEN Chen, GU Ting, CHEN Wen
2016, 15 (7): 1638-1644.   DOI: 10.1016/S2095-3119(15)61253-9
Abstract1400)      PDF in ScienceDirect      
    Grassland is the important component of the terrestrial ecosystems. Estimating net primary productivity (NPP) of grassland ecosystem has been a central focus in global climate change researches. To simulate the grassland NPP in southern China, we built a new climate productivity model, and validated the model with the measured data from different years in the past. The results showed that there was a logarithmic correlation between the grassland NPP and the mean annual temperature, and there was a linear positive correlation between the grassland NPP and the annual precipitation in southern China. All these results reached a very significant level (P<0.01). There was a good correlation between the simulated and the measured NPP, with R2 of 0.8027, reaching the very significant level. Meanwhile, both root mean square errors (RMSE) and relative root-mean-square errors (RRMSE) stayed at a relatively low level, showing that the simulation results of the model were reliable. The NPP values in the study area had a decreasing trend from east to west and from south to north, and the mean NPP was 471.62 g C m−2 from 2000 to 2011. Additionally, there was a rising trend year by year for the mean annual NPP of southern grassland and the tilt rate of the mean annual NPP was 3.49 g C m−2 yr−1 in recent 12 years. The above results provided a new method for grassland NPP estimation in southern China.
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A Co-Dominant Marker BoE332 Applied to Marker-Assisted Selection of Homozygous Male-Sterile Plants in Cabbage (Brassica oleracea var. capitata L.)
CHEN Chen, ZHUANG Mu, FANG Zhi-yuan, WANG Qing-biao, ZHANG Yang-yong, LIU Yu-mei
2013, 12 (4): 596-602.   DOI: 10.1016/S2095-3119(13)60277-4
Abstract1193)      PDF in ScienceDirect      
The dominant genic male sterility (DGMS) gene CDMs399-3 derived from a spontaneous mutation in the line 79-399-3 of spring cabbage (Brassica oleracea var. capitata L.), has been successfully applied in hybrid seed production of several cabbage cultivars in China. During the development of dominant male sterility lines in cabbage, the conventional identification of homozygous male-sterile plants (CDMs399-3/CDMs399-3) is a laborious and time-consuming process. For marker-assisted selection (MAS) of the gene CDMs399-3 transferred into key spring cabbage line 397, expressed sequence tag-simple sequence repeats (EST-SSR) and SSR technology were used to identify markers that were linked to CDMs399-3 based on method of bulked segregant analysis (BSA). By screening a set of 978 EST-SSRs and 395 SSRs, a marker BoE332 linked to the CDMs399-3 at a distance of 3.6 cM in the genetic background of cabbage line 397 were identified. 7 homozygous male-sterile plants in population P1170 with 20 plants were obtained finally via MAS of BoE332. Thus, BoE332 will greatly facilitate the transferring of the gene CDMs399-3 into the key spring cabbage line 397 and improve the application of DGMS in cabbage hybrid breeding.
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