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Effects of planting patterns on yield, quality, and defoliation in machine-harvested cotton
WANG Fang-yong, HAN Huan-yong, LIN Hai, CHEN Bing, KONG Xian-hui, NING Xin-zhu, WANG Xu-wen, YU Yu, LIU Jing-de
2019, 18 (9): 2019-2028.   DOI: 10.1016/S2095-3119(19)62604-3
Abstract122)      PDF in ScienceDirect      
The aim of this study was to elucidate the effects of different machine-harvested cotton-planting patterns on defoliation, yield, and fiber quality in cotton and to provide support for improving the quality of machine-harvested cotton.  In the 2015 and 2016 growing seasons, the Xinluzao 45 (XLZ45) and Xinluzao 62 (XLZ62) cultivars, which are primarily cultivated in northern Xinjiang, were used as study materials.  Conventional wide-narrow row (WNR), wide and ultra-narrow row (UNR), wide-row spacing with high density (HWR), and wide-row spacing with low density (LWR) planting patterns were used to assess the effects of planting patterns on defoliation, yield, and fiber quality.  Compared with WNR, the seed cotton yields were significantly decreased by 2.06–5.48% for UNR and by 2.50–6.99% for LWR, respectively.  The main cause of reduced yield was a reduction in bolls per unit area.  The variation in HWR yield was –1.07–1.07% with reduced bolls per unit area and increased boll weight, thus demonstrating stable production.  In terms of fiber quality indicators, the planting patterns only showed significant effects on the micronaire value, with wide-row spacing patterns showing an increase in the micronaire values.  The defoliation and boll-opening results showed that the number of leaves and dried leaves in HWR was the lowest among the four planting patterns.  Prior to the application of defoliating agent and before machine-harvesting, the numbers of leaves per individual plant in HWR were decreased by 14.45 and 25.00% on average, respectively, compared with WNR, while the number of leaves per unit area was decreased by 27.44 and 36.21% on average, respectively.  The rates of boll-opening and defoliation in HWR were the highest.  Specifically, the boll-opening rate before defoliation and machine-harvesting in HWR was 44.54 and 5.94% higher on average than in WNR, while the defoliation rate prior to machine-harvesting was 3.45% higher on average than in WNR.  The numbers of ineffective defoliated leaves and leaf trash in HWR were the lowest, decreased by 33.40 and 32.43%, respectively, compared with WNR.  In conclusion, the HWR planting pattern is associated with a high and stable yield, does not affect fiber quality, promotes early maturation, and can effectively decrease the amount of leaf trash in machine-picked seed cotton, and thus its use is able to improve the quality of machine-harvested cotton.
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Small RNA deep sequencing reveals full-length genome of Citrus yellow vein clearing virus in Chongqing, China
YU Yun-qi, WU Qiong, SU Hua-nan, WANG Xue-feng, CAO Meng-ji, ZHOU Chang-yong
2017, 16 (02): 503-508.   DOI: 10.1016/S2095-3119(16)61533-2
Abstract1164)      PDF in ScienceDirect      
To identity the potential pathogen associated with the yellow vein clearing symptom on lemon trees, the profiles of virus-derived small interfering RNAs from citrus samples were obtained and analyzed by deep sequencing method in this study.  Twenty-seven contigs almost cover the full length genome of Citrus yellow vein clearing virus (CYVCV) isolate YN were obtained using the small RNA deep sequencing technology.  Analysis showed that this isolate CQ shared the highest nucleotide identity with isolate Y1 (JX040635) and YN (KP313242), both of which belong to the genus Mandarivirus in the family Alphaflexiviridae.  Mapping analysis of viral-derived siRNA (vsiRNA) profiles revealed an uneven distribution pattern of their generations along both positive and negative genome strands, and 22- and 21-nt vsiRNAs ranked the majority.  BLAST against viroids and other viral databases confirmed that this sample was single-infected only by CYVCV, which indicated that CYVCV was the exact causal agent for the yellow clearing symptom occurring on lemon.  This is the first CYVCV isolate detected in Chongqing and the second in China.  This result could provide a molecular basis for the investigation of citrus viral diseases to protect citrus health in this region. 
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Comparison between TVDI and CWSI for drought monitoring in the Guanzhong Plain, China
BAI Jian-jun, YU Yuan, Liping Di
2017, 16 (02): 389-397.   DOI: 10.1016/S2095-3119(15)61302-8
Abstract1342)      PDF in ScienceDirect      
Temperature vegetation dryness index (TVDI) and crop water stress index (CWSI) are two commonly used remote sensing-based agricultural drought indicators.  This study explored the applicability of monthly moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) and land surface temperature (LST) data for agricultural drought monitoring in the Guanzhong Plain, China in 2003.  The data were processed using TVDI, calculated by parameterizing the relationship between the MODIS NDVI and LST data.  We compared the effectiveness of TVDI against CWSI, derived from the MOD16 products, for drought monitoring.  In addition, the surface soil moisture and monthly precipitation were collected and used for verification of the results.  Results from the study showed that: (1) drought conditions measured by TVDI and CWSI had a number of similarities, which indicated that both CWSI and TVDI can be used for drought monitoring, although they had some discrepancies in the spatiotemporal characteristics of drought intensity of this region; and (2) both standardized precipitation index (SPI) and SM contents at the depth of 10 and 20 cm had better correlations to CWSI than to TVDI, indicating that there were more statistically significant relationships between CWSI and SPI/SM, and that CWSI is a more reliable indicator for assessing and monitoring droughts in this region.
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Isolation and Functional Analysis of the bZIP Transcription Factor Gene TaABP1 from a ChineseWheat Landrace
CAO Xin-you, CHEN Ming*, XU Zhao-shi, CHEN Yao-feng, LI Lian-cheng, YU Yue-hua, LIU Yangna, MA You-zhi
2012, 12 (10): 1580-1591.   DOI: 10.1016/S1671-2927(00)8691
Abstract1644)      PDF in ScienceDirect      
In plants, basic leucine zipper (bZIP) transcription factors play important roles in regulatory processes, including stress response, pathogenic defense and light response as well as organ and tissue differentiation. Chinese wheat landrace Pingyaoxiaobaimai (PYXBM), an original parent of drought tolerant wheat varieties grown in northern China, is significantly tolerant to abiotic stresses such as drought, cold and nutrient deficiencies. In order to isolate key stress-responsive genes and then improve stress tolerances of conventional varieties, a bZIP transcription factor gene was isolated from a cDNA library of drought-treated PYXBM using the in situ plaque hybridization method, and was designated as Triticum aestivum L. abscisic acid (ABA)-responsive element binding protein 1 (TaABP1). It encodes 372 amino acids, and contains three conserved domains (C1-C3) in the N terminal and a bZIP domain in the C terminal which is a typical protein structure for the group member of bZIP family. Transcriptional activation analysis showed that TaABP1 activated the expression of downstream reporter genes in yeast without ABA application. TaABP1 protein fused with green fluorescent protein (GFP) demonstrated that the localization of TaABP1 protein is in the nucleus. Expression pattern assays indicated that TaABP1 was strongly induced by ABA, high salt, low temperature and drought, and its expression was stronger in stems and leaves than in the roots of wheat. Furthermore, overexpression of TaABP1 in tobacco showed significant improvement of drought tolerance. Data suggested that TaABP1 may be a good candidate gene for improving stress tolerance of wheat by genetic transformation and elucidation of the role of this gene will be useful for understanding the mechanism underlying drought tolerance of Chinese wheat landrace PYXBM.
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