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Enhancing boll protein synthesis and carbohydrate conversion by the application of exogenous amino acids at the peak flowering stage increased the boll Bt toxin concentration and lint yield in cotton
LIU Zhen-yu, LI Yi-yang, Leila. I. M. TAMBEL, LIU Yu-ting, DAI Yu-yang, XU Ze, LENG Xin-hua, ZHANG Xiang, CHEN De-hua, CHEN Yuan
2023, 22 (6): 1684-1694.   DOI: 10.1016/j.jia.2022.10.003
Abstract198)      PDF in ScienceDirect      

In Bacillus thuringenesis (Bt) transgenic cotton, the cotton boll has the lowest insecticidal protein content when compared to the other organs.  The present study investigated the effects of amino acid spray application at the peak flowering stage on the cotton boll Bt toxin concentration and yield formation.  Boll protein synthesis and carbohydrate conversion were also studied to reveal the fundamental mechanism.  Three treatments (i.e., CK, the untreated control; LA1, five amino acids; LA2, 21 amino acids) were applied to two Bt cultivars of Ghirsutum (i.e., the hybrid Sikang 3 and the conventional Sikang 1) in the cotton-growing seasons during 2017 and 2018.  Amino acid spray application at the peak flowering stage resulted in an increase of 5.2–16.4% in the boll Bt protein concentration and an increase of 5.5–11.3% in the seed cotton yield, but there was no difference between the two amino acid treatments.  In addition, amino acid applications led to increases in the amino acid content, soluble protein content, glutamate pyruvate transaminase (GPT) activity, glutamate oxaloacetate transaminase (GOT) activity, glucose content, fructose content and soluble acid invertase (SAI) activity.  This study also found that Bt protein content, enhanced boll number and the weight of opened bolls were closely related to carbon and nitrogen metabolism.  The Bt protein content had significant linear positive correlations with amino acid and soluble protein contents.  Enhanced boll number had significant linear positive correlations with the GPT and GOT activities from 15–25 days after flowering (DAF).  The weight of opened bolls from 55–65 DAF had a significant linear positive correlation with the SAI activity.  These results indicate that the enhancement of boll protein synthesis and carbohydrate conversion by amino acid application resulted in a simultaneous increase in the boll Bt protein concentration and cotton lint yield.

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Effects of plant density and mepiquat chloride application on cotton boll setting in wheat–cotton double cropping system
CHEN Yuan, LIU Zhen-yu, HENG Li, Leila I. M. TAMBEL, ZHANG Xiang, CHEN Yuan, CHEN De-hua
2021, 20 (9): 2372-2381.   DOI: 10.1016/S2095-3119(20)63286-5
Abstract118)      PDF in ScienceDirect      
Sowing cotton directly after harvesting wheat in the Yangtze River Valley of China requires early mature of cotton without yield reduction.  Boll-setting period synchronisation and more yield bolls distributed at the upper and middle canopy layers are also required for harvesting.  The objective of this study is to quantify the individual and interaction effects of plant density and plant growth regulator mepiquat chloride (MC) on temporal and spatial distributions of yield bolls, as well as yield and yield components.  During the 2013–2016 cotton growing seasons, the experiments were conducted on a short-season cotton cultivar CRRI50 at Yangzhou University, China.  Various combinations of plant density (12.0, 13.5 and 15.0 plants m–2) and MC dose (180, 270 and 360 g ha–1) were applied on cotton plants.  The combination of 13.5 plants m–2 and 270 g ha–1 MC resulted in the greatest boll number per unit area, the highest daily boll setting number and more than 90% of bolls positioned within 45–80 cm above the ground.  In conclusion, appropriate MC dose in combination of high plant density could synchronize boll-setting period and retain more bolls at the upper and middle canopy layers without yield reduction in the system of direct-seeded cotton after wheat harvest, and thus overcome the labor-intensive problem in current transplanting cropping system. 
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High plant density increases seed Bt endotoxin content in Bt transgenic cotton
CHEN Yuan, LIU Zhen-yu, HENG Li, Leila I. M. TAMBEL, CHEN De-hua
2021, 20 (7): 1796-1806.   DOI: 10.1016/S2095-3119(20)63232-4
Abstract131)      PDF in ScienceDirect      
Plant density is the cultivation practice usually employed to manipulate boll distribution, boll setting and yield in cotton production.  In order to determine the effect of plant density on the insecticidal protein content of Bacillus thuringiensis (Bt) cotton plants, a study was conducted in Yangzhou University of China in 2015 and 2016.  Five plant densities (PD1–PD5, representing 15 000, 30 000, 45 000, 60 000, and 75 000 plants ha–1) were imposed on two Bt cotton cultivars, Sikang 1 (the conventional cultivar, SK-1) and Sikang 3 (the hybrid cultivar, SK-3).  The boll number per plant, boll weight and boll volume all decreased as plant density increased.  As plant density increased from 15 000 to 75 000 plants ha–1, seed Bt protein content increased, with increases of 66.5% in SK-1 and 53.4% in SK-3 at 40 days after flowering (DAF) in 2015, and 36.8% in SK-1 and 38.6% in SK-3 in 2016.  Nitrogen (N) metabolism was investigated to uncover the potential mechanism.  The analysis of N metabolism showed enhanced soluble protein content, glutamic-pyruvic transaminase (GPT) and glutamate oxaloacetate transaminase (GOT) activities, but reduced free amino acid content, and protease and peptidase activities with increasing plant density.  At 20 DAF, the seed Bt toxin amount was positively correlated with soluble protein level, with correlation coefficients of 0.825** in SK-1 and 0.926** in SK-3 in 2015, and 0.955** in SK-1 and 0.965** in SK-3 in 2016.  In contrast, the seed Bt protein level was negatively correlated with free amino acid content, with correlation coefficients of –0.983** in SK-1 and –0.974** in SK-3 in 2015, and –0.996** in SK-1 and –0.986** in SK-3 in 2016.  To further confirm the relationship of Bt protein content and N metabolism, the Bt protein content was found to be positively correlated with the activities of GPT and GOT, but negatively correlated with the activities of protease and peptidase.  In conclusion, our present study indicated that high plant density elevated the amount of seed Bt protein, and this increase was associated with decreased boll number per plant, boll weight and boll volume.  In addition, altered N metabolism also contributed to the increased Bt protein content under high plant density.
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Nitrogen spraying affects seed Bt toxin concentration and yield in Bt cotton
ZHANG Xiang, ZHOU Ming-yuan, LI Ya-bing, LIU Zhen-yu, CHEN Yuan, CHEN De-hua
2021, 20 (5): 1229-1238.   DOI: 10.1016/S2095-3119(20)63243-9
Abstract151)      PDF in ScienceDirect      
Cotton bolls exhibit the lowest insecticidal efficacy among all organs of Bt cotton, which would ultimately affect the yield formation.  The objective of this study was to investigate the effects of different urea concentrations on the seed Bt protein contents, seed cotton yield and the corresponding protein metabolism mechanism.  The experiments were conducted during 2017–2018 cotton growing seasons.  Two cultivars, Sikang 3 (hybrid, SK3) and Sikang 1 (conventional, SK1), were treated with six urea concentrations and their seed Bt protein contents were compared during boll formation period.  The urea spray concentration had a significant effect on the seed Bt toxin content and seed cotton yield.  Spraying of either 5 or 6% urea led to higher insecticidal protein contents and higher seed cotton yield for both cultivars.  Moreover, the highest amino acid and soluble protein contents, as well as GPT and GOT activities, and lower protease and peptidase activities were observed at the 5 to 6% urea levels.  Significant positive correlations between the seed Bt toxin and amino acid contents, and between the seed Bt toxin content and GPT activities were detected.  The lower boll worm number and hazard boll rate were also observed with the 5 to 6% urea treatments, which may be the reason why nitrogen spraying increased the seed cotton yield.  Therefore, our results suggested that the seed Bt toxin content and insect resistance were impacted markedly by external nitrogen application, and 5 to 6% urea had the greatest effect on insect resistance.
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Reduced square Bacillus thuringiensis insecticidal protein content of transgenic cotton under N deficit
CHEN Yuan, LIU Zhen-yu, Leila I. M. TAMBEL, ZHANG Xiang, CHEN Yuan, CHEN De-hua
2021, 20 (1): 100-108.   DOI: 10.1016/S2095-3119(20)63190-2
Abstract134)      PDF in ScienceDirect      
To clarify the effect of the N deficit on the amount of square Bt insecticidal protein, different N application rates (0, 75, 150, 225, and 300 kg ha–1) were imposed on the conventional cultivar Sikang 1 (SK-1) and hybrid cultivar Sikang 3 (SK-3) during 2015–2016 cotton growth seasons.  Under different N application rates, the square number per plant, square volume and square dry weight reduced when the N rates decreased from conventional rate (300 kg ha–1) to 0 kg ha–1.  And the square Bt protein content decreased accordingly.  The analysis of N metabolism showed that soluble protein content, GPT and GOT activities decreased, free amino acid, peptidase and protease activities increased under N deficit.  Correlation analysis indicated that the reduced Bt protein content under N deficit was related to altered N metabolism.  In conclusion, square development and the amount of square Bt toxin both decreased under N deficit, indicating that promoting the square development under appropriate N application rate would also promote the insect resistance during squaring stage.
 
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Identification of QTLs for seed storability in rice under natural aging conditions using two RILs with the same parent Shennong 265
DONG Xiao-yan, FAN Shu-xiu, LIU Jin, WANG Qi, LI Mei-rong, JIANG Xin, LIU Zhen-yu, YIN Ye-chao, WANG Jia-yu
2017, 16 (05): 1084-1092.   DOI: 10.1016/S2095-3119(16)61579-4
Abstract1222)      PDF in ScienceDirect      
Seed storability (SS) is an important trait for agronomic production and germplasm preservation in rice (Oryza sativa L.).  Quantitative trait locus (QTL) for seed storability in three storage periods was identified using two sets of recombinant inbred lines (RILs) derived from the crosses with a common female parent Shennong 265 (SN265).  Ten QTLs for seed storability were detected on chromosomes 1, 2, 3, 4, 6, 8, and 12 in SL-RILs (SN265/Lijiangxingtuanheigui (LTH)), and a total of 12 QTLs were identified on chromosomes 2, 3, 4, 6, 9, and 10 in SH-RILs (SN265/Luhui 99 (LH99)) in different storage periods.  Among these QTLs, five major QTLs were identified in more than one storage period.  The qSS3-1, qSS3-2, qSS12-1, and qSS12-2 were detected in SL-RILs.  Similarly, qSS2-2, qSS2-3, qSS6-2, qSS6-3, qSS6-4, qSS9-1, and qSS9-2 were detected in SH-RILs.  In addition, the maximum phenotypic variation was derived from the qSS6-1 and qSS9-2, explaining 53.58 and 29.09%, respectively, while qSS6-1 was a new stable QTL for seed storability.  These results provide an opportunity for pyramiding and map-based cloning major QTLs for seed storability in rice.
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Improving a method for evaluating alfalfa cultivar resistance to thrips
TU Xiong-bing, FAN Yao-li, JI Ming-shan, LIU Zhong-kuan, XIE Nan, LIU Zhen-yu, ZHANG Ze-hua
2016, 15 (3): 600-607.   DOI: 10.1016/S2095-3119(15)61197-2
Abstract1972)      PDF in ScienceDirect      
The thrips quantity ratio (TQR) model is an important tool for evaluating crop resistance to thrips based on the correlation between thrips quantities and cultivars. Unfortunately, it is inaccurate, and the results appear significantly inconsistent when analysing the same cultivars in the same field study. To improve this model, we first studied the resistance of 28 alfalfa cultivars to thrips in Cangzhou, Hebei Province, north China. The results showed that the most suitable evaluation period was from May to June, as the thrips population was stable during this period. Second, we found that the natural enemy population was significantly positively correlated with the thrips population density (R=0.7275, P<0.0001), which might influence resistance estimation. Hence, we introduced a parameter ‘α’, corresponding to the natural enemy quantity ratio, to eliminate the effect of the natural enemy using “αTQR”. Using the improved method, 28 cultivars were clustered into three classes: the resistant class, sensitive class, and median class. All numerical values were calculated for αTQR displayed as a Gaussian distribution. This information showed that all data should be divided into nine groups using a median value of 1±0.1 with an equal difference of 0.1. Based on the new standard cultivars, Gongnong 1, Alfaking, Cangzhou and Algonquin were classified as highly resistant cultivars; Zhongmu 3, Gongnong 2, Zhongmu 1 and Zhongmu 2 were classified in the resistant group; Queen was classified in the moderately resistant group; Derby, WL354HQ, KRIMA, Apex, 53HR, SARDI 5 and Farmers Treasure were classified in the median class; WL319HQ, WL343HQ and Sitel were classified as the low sensitive group; WL440HQ and SARDI 7 as the moderately sensitive group; WL168HQ and Sanditi as the sensitive group; and SARDI 10, WL363HQ, FD4, WL323 and SOCA as the highly sensitive group.
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