1. lntroduction

The indeterminate growth habit of cotton causes formation of bolls at different fruiting positions (FP) to grow at different times under various environmental conditions (Bondada and Oosterhuis 2001). Many studies have documented that the FP1 contributed more to the total cotton yield and produced better fiber than bolls at any other positions of the same sympodial branch (Jenkins et al. 1990b; Pettigrew 1995; Heitholt 1997; Davidonis et al. 2004). However,the contribution of FPs differs between cultivars and under different environmental conditions. Under optimal conditions, the distal FPs (FP3 and above) could sustain a 58.8% retention rate of cotton bolls in high cotton yield fields (7 657 kg ha–1, 24 240 plants ha–1) (Gu et al. 2010).In contrast, the distal FP (FP3) produced less cotton bolls with weaker fiber under normal conditions, but the rate of reduction was less in low temperature-tolerant cultivars (Ma et al. 2014). Thus, cotton yield and fiber quality on distal FPs might be more plastic under various environmental conditions, which could minimize reduced yield and fiber quality in adverse conditions. Studies about the underlying physiological changes in distal FPs and their relationship with inner FPs could be used to identify genotypes that are resistant to adverse conditions or to develop new varieties for better productivity under environmental stress.

The above-mentioned changes are related to source-sink(leaf-boll) interactions. In cotton, the development of a boll and its subtending leaf are closely associated (Wullschleger and Oosterhuis 1990). In a mature cotton boll, most of the carbon originate from the subtending leaf (Ashley 1972;Grindlay 1997). Efficient production of carbohydrates(mainly sucrose and starch) in leaves and translocation of carbohydrates towards bolls is essential for maintaining cotton yield and fiber quality (Jiang et al. 2006; Ahmadi et al. 2009). In mature fiber cells, cellulose constitutes more than 90% of the dry weight (Delmer and Amor 1995), which means that the process of cotton fiber formation is primarily a process of cellulose synthesis. Sucrose, transported from the subtending leaf, is the initial carbon source for cellulose synthesis and supplies UDP-glucose as the immediate substrate for cellulose polymerization (Delmer and Haigler 2002; Williamson et al. 2002). Sucrose content in cotton fiber and subtending leaf are highly correlated with the cellulose accumulation and final fiber quality (Wang et al.2009; Gao et al. 2012), and all of these factors are influenced by genetic and environmental factors.

Both low temperature and light de ficiency are vital environmental constraints for cotton production (Yeates et al. 2010; Lv et al. 2013). These two important constraints can occur singly or combined in cotton-growing areas of the Yangtze River Valley and the Yellow River Valley in China under multiple cropping systems due to late harvesting of preceding full-season winter crops (Chen et al. 2014b).Previous studies have shown that low temperatures as a result of late planting significantly increased fiber sucrose content, and also decreased sucrose transformation rate and cellulose content, which consequently reduced lint yield and decreased fiber quality due to carbohydrate deficiency(Dong et al. 2006, 2010; Shu et al. 2009; Cao et al. 2011; Lu et al. 2017). In some studies, low light decreased lint yield(SassenrathCole et al. 1996; Dusserre et al. 2002; Lv et al.2013; Echer and Rosolem 2015), increased fiber length, and lowered strength of fiber and micronaire (Pettigrew 1995,2001). In other studies, results suggested that low light decreased or did not significantly affect fiber length (Zhao and Oosterhuis 2000; Wang et al. 2005). Moreover, recent research showed that both low temperature and low light had severe effects on carbohydrate content in both cotton leaf and fiber, which decreased cotton yield and fiber quality(Liu et al. 2015b; Hu et al. 2016).

Many studies have described low temperature and light effects on cotton fiber and/or the subtending leaf (Chen et al.2014a, b; Liu et al. 2015b; Hu et al. 2016). However, it is still not fully understood how low temperature, reduced light,and their interaction affect cotton source-sink relationships at different FPs. Therefore, an experiment with a variety of planting dates and shading treatments was designed to determine the effects of low temperature and light on cotton yield, fiber quality, and carbohydrate content in leaves and fibers of two different FPs in low temperaturetolerant and low temperature-sensitive cultivars. The goals of this experiment were to elucidate differences between physiological mechanisms of cotton fiber development in different FPs in response to temperature-light stress.

2. Materials and methods

2.1. Experimental design

A two-year field experiment was conducted at Pailou Experimental Station, Nanjing Agricultural University(118°50´E, 32°02´N), Jiangsu Province, China, in 2010 and 2011. Two cotton cultivars were used: Kemian 1 (low temperature-tolerant) and Sumian 15 (low temperaturesensitive), which are both widely grown in the Yangtze River Valley (Shu et al. 2009; Liu et al. 2013). Soil was clay,mixed, thermic, typic Al fisols (udalfs; FAO Luvisol) based on a soil pro file depth of 0–20 cm. Before planting cotton,nutrient contents of soil were: 17.5 and 18.5 g kg−1 organic matter, 1.1 and 1.0 g kg−1 total N, 62.3 and 80.5 mg kg−1 available N, 17.6 and 18.8 mg kg−1 available P, and 98.3 and 110.5 mg kg−1 available K in 2010 and 2011, respectively.

According to previous research, 25 April and 10 June are the optimal and late planting dates, respectively, in the Yangtze River Valley (Jiang et al. 2006; Liu et al. 2015b).Thus, two planting dates, 25 April and 10 June, and two shading treatments, CRLR 100% (control, with no shading)and CRLR 60% (photosynthetically active radiation was reduced to about 60% of control by covering plants with a white polyethylene net that was 12 m long, 7 m wide,and 2 m high, supported by an iron stand), were used in both years. Shading started when 50% of white flowers at FP1 of the 7th fruiting branches (FB7) were blooming and continued until the bolls opened in both 2010 and 2011. The microclimate data at 17 days post anthesis (DPA) showed that the average air temperature and relative humidity were only slightly affected by shading. Only the photosynthetically active radiation (PAR) was significantly affected by shading(Hu et al. 2016). Three replicates of each treatment were set up randomly in the field. Each plot was 6 m wide and 10.5 m long. Row spacing of cotton plants was 80 cm and interplant spacing was 25 cm. Cotton seeds were sown in a nursery bed and then transplanted to the field at the seedling stage with three true leaves. Furrow-irrigation was applied as needed and conventional weed and insect control measures were applied.

每小组课堂展示的内容凝练了各小组在翻译过程中发现的问题及解决方式。基于以往的经验，为了避免不负责PPT制作的组员忽视PPT内容，每组课堂展示的人员在上课时由教师从小组中随机抽取。课堂展示的内容主要有：术语表、译文初稿、问题与解决策略等。通过课堂展示，就同一篇翻译材料实现了“组际”之间的交流与探讨。由传统翻译课堂中“单人翻译”模式向“单人翻译—组间合作—组际交流—最终定稿”模式转换。

2.2. Sampling and processing

White flowers on FP1 and FP3 of FB7 were tagged on the same day in the same planting date with small plastic tags noting the flowering date. Labeled bolls and leaves subtending to the bolls were collected at 10, 17, 24, 31,38, and 45 DPA in OPD, and at 10, 17, 24, 31, 38, 45, 52,and 59 DPA in LPD. On each sample day, collections were conducted at 9:00–10:00 a.m., and an ice box was used to transport samples to the lab. The fibers were excised from the bolls with a scalpel and the leaves were washed with distilled water and then dried for carbohydrate analysis.

Averaged over 2 years, the lint yield of Kemian 1 at FP1 was reduced by 24, 35, and 57% under OPD-CRLR 60%,LPD-CRLR 100%, and LPD-CRLR 60%, respectively, while lint yield at FP3 was reduced by 31, 51, and 72%, respectively,compared with OPD-CRLR 100%. The lint yield of Sumian 15 at FP1 and FP3 had a similar trend in Kemian 1: the decreases under OPD-CRLR 60%, LPD-CRLR 100%, and LPD-CRLR 60% were 27, 45, and 66%, respectively at FP1, and 35, 63, and 81%, respectively, at FP3, compared with OPD-CRLR 100%. In addition, CV of lint yield and yield components on FP1 was lower than those on FP3. Meanwhile, the CV for cultivar Kemian 1 was lower than that for Sumian 15 at both FP1 and FP3 (data not shown). The results above illustrated that (1) yield and yield components were more variable at FP3 than at FP1 under different treatments; (2) bolls on FP3 contributed less to yield when planting date was delayed and shading was increased; (3) cotton yield and yield components of Kemian 1 on both FP1 and FP3 were more stable than Sumian 15 under adverse temperature and light conditions.

2.3. Measurements of sucrose, starch, and cellulose contents

Sucrose was extracted from fiber and leaf samples and assayed (Pettigrew 2001). About 0.1 g dried leaf tissues or 0.3 g fiber samples were extracted with 5 mL of 80%ethanol. The ethanol samples were incubated in an 80°C water bath for 30 min, and then centrifuged at 4 000 r min–1 for 5 min. The pellets were extracted twice more using 80%ethanol and three aliquots of supernatant were collected together and diluted to 25 mL with 80% ethanol for sucrose determination. The sucrose assay was conducted according to the method described by Hendrix (1993).

Leaf starch was extracted from the ethanol-insoluble residue. Ethanol from the centrifuge tube was removed through evaporation, and 2 mL of distilled water was added into the tube. Starch in the residue was released in a boiling bath for 15 min and cooled to room temperature. Then,2 mL of 9.2 mol L−1 HClO4 was added to the mixture and hydrolyzed for 15 min. A total of 4 mL of distilled water was added into the tube and the samples were centrifuged at 4 000 r min–1 for 10 min. The supernatant was collected and the residue was extracted one more time using 4.6 mol L–1 HClO4. Supernatants were then mixed and diluted to 25 mL with distilled water for starch determination. The starch concentration was measured spectrophotometrically at 620 nm using an anthrone reagent with glucose as the standard.

Cotton fiber maximum/minimum sucrose content and sucrose transformation rate were significantly affected by T, FP, and T×FP (Table 5). Fiber maximum sucrose content at FP3 was significantly lower than that at FP1 under all planting dates and shading treatments, while the minimum sucrose content at FP3 was higher (significantly in LPD) than that at FP1. Thus, a lower sucrose transformation rate of fiber at FP3 compared to that at FP1 was observed. Δ for fiber maximum sucrose content and sucrose transformation rate were positive, while Δ for fiber minimum sucrose content was negative. Both Δ and R for fiber maximum sucrose content and sucrose transformation rate increased as PTI decreased, while Δ and R for fiber minimum sucrose content had an unclear trend. These results demonstrated that fiber sucrose content distribution and sucrose transformation rate at FP1 improved compared to FP3 as PTI decreased due to late planting and shading. A smaller CV of fiber maximum/minimum sucrose content between treatments at FP3 compared to FP1 showed that the fiber sucrose

2.4. Statistical analysis

Cellulose content in cotton fiber As DPA progressed,cellulose content in cotton fiber increased at both FP1 and FP3. On each measurement day, cotton fiber cellulose content at FP1 was significantly higher than that at FP3(Fig. 4). Final cellulose content was most important to cotton fiber yield and quality. From Table 5, final cellulose content of fiber was significantly affected by T, FP, and T×FP. Both Δ and R for fiber cellulose content increased as PTI decreased.Compared with OPD-CRLR 100%, the final cellulose content in fiber at FP1 was decreased by 11.4, 23.2, and 38.9% on average for cultivar Kemian 1, and by 12.0, 26.8, and 43.2%on average for cultivar Sumian 15, under OPD-CRLR 60%,LPD-CRLR 100%, and LPD-CRLR 60%, respectively. Final cellulose content at FP3 was decreased by 32.6, 41.7,and 56.7% on average for cultivar Kemian 1, and by 29.2,44.5, and 60.9% on average for cultivar Sumian 15, under OPD-CRLR 60%, LPD-CRLR 100%, and LPD-CRLR 60%,respectively. Thus, cotton fiber cellulose was more variable at FP3 than that at FP1.

3. Results

3.1. Weather data

Weather data were collected from the National Meteorological Information Center (Nanjing Weather Station, China).Parameters related to temperature and solar radiation during fiber development for 2010 and 2011 are in Table 1. The cumulative photo-thermal index (PTI) was also calculated(calculation equations are in Zhao et al. (2012) and given in Table 1. Based on these data, the development period of cotton bolls located in FP3 was delayed by 2 d (in OPD)or 8 d (in LPD) compared to FP1. This delay was related to the lowered MDT (mean daily temperature), MDTmax (mean daily maximum temperature), MDTmin (mean daily minimum temperature), MDSR (mean daily solar radiation), and PTI in FP3. The coefficients of variance (CV) of PTI between FPs was higher than those of MDT, MDTmax, MDTmin, and MDSR in both 2010 and 2011. In addition, CV of PTI under LPD tripled compared to the CV under OPD, which was consistent with the delay in cotton boll development period. Thus, the difference in environmental conditions for different FPs and among treatments was primarily in PTI.

3.2. Effects of planting dates and shading on cotton yield distribution and fiber-quality indices at different FPs

Lint yield distribution Lint yield was decreased due to late planting dates and shading treatments (T), which reduced boll number and boll weight. The extent of reduced lint yield showed an increasing trend from FP1 to FP3. Analysis of variance showed that T, FP, and T×FP significantly affected cotton boll number and lint yield, while T and FP significantly impacted boll weight. Lint percentage was only significantly influenced by T. In both years, boll number and lint yield of cotton bolls located at FP3 were significantly lower than FP1 in all planting dates and shading treatments. Boll weight of cotton bolls located at FP3 was also significantly lower than FP1 except under OPD-CRLR 100%. Δ between FP1 and FP3 for boll number and lint yield was close and far above Δ for boll weight and lint percentage (Table 2).

“没考上。”我听到这句话的时候已经大学毕业十年，我不敢问他的近况，只是依旧表达着对他的敬佩，追求最好的品质，简直让人敬畏。

制度和标准是节能工作的有效支撑，中国海油积极组织开展节能制度和标准的制修订工作，不断完善节能制度和标准体系，规范生产各环节的能源利用。

未来的十年，将是中国邮轮产业发展的黄金十年，也是解决在过去十年发展中所产生的问题的关键十年。只有解决这些限制中国邮轮产业进一步发展的关键问题，才能够使邮轮产业成为中国旅游业的主力军和排头兵，从而使开发中国邮轮产业发展的潜力、突破目的地及时间选择的局限性、规范邮轮运营模式，使中国邮轮产业真正做到与国际接轨等最终目标。

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Table 2 Cotton yield and yield components at FP1 and FP3 and analysis of variance for combinations of different planting dates and shading treatments

1) OPD, optimal planting date, 25 April; LPD, late planting date, 10 June; CRLR, crop relative light rate.2) Δ (%)=(Indicator value on FP1–Indicator value on FP3)/Indicator value on FP1×100 Values followed by different letters within the same column are significantly different at 0.05 probability level. NS means non-significant difference; ＊ and ＊＊ mean significant differences at 0.05 and 0.01 probability levels, respectively.

Planting dates and shading treatments(T)1)2010 2011 2010 2011 2010 2011 2010 2011 Kemian 1 OPD-CRLR 100% FP1 51 a 48 a 5.7 a 5.5 a 39.4 a 39.5 a 1 160 a 1 026 a FP3 18 b/65.5 20 b/58.5 5.2 a/9.7 4.9 a/9.6 39.2 a/0.6 39.0 a/1.2 359 b/69.1 381 b/62.9 OPD-CRLR 60% FP1 43 a 39 a 5.4 a 5.1 a 38.8 a 38.9 a 900 a 770 a FP3 14 b/67.8 15 b/60.6 4.6 b/13.7 4.5 b/11.1 38.4 a/0.9 38.3 a/1.5 246 b/72.6 265 b/65.6 LPD-CRLR 100% FP1 39 a 34 a 4.7 a 4.7 a 41.0 a 41.2 a 752 a 658 a FP3 12 b/69.1 11 b/67.6 3.9 b/17.5 3.7 b/21.3 41.2 a/–0.5 41.4 a/–0.4 192 b/74.5 168 b/74.5 LPD-CRLR 60% FP1 31 a 25 a 4.3 a 4.2 a 40.1 a 40.3 a 525 a 411 a FP3 8 b/72.6 8 b/69.6 3.4 b/21.4 3.2 b/23.4 40.0 a/0.1 40.2 a/0.3 113 b/78.5 96 b/76.7 significance of factors T Fruiting position(FP)Boll number (×104 no.ha–1)/Δ (%)Boll weight (g boll–1)/Δ (%)Lint percentage (%)/Δ (%) Lint yield (kg ha–1)/Δ (%)＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊FP＊＊ ＊＊ ＊＊ ＊＊ NS NS ＊＊ ＊＊T×FP ＊ ＊＊ NS NS NS NS ＊＊ ＊＊Sumian 15 OPD-CRLR 100% FP1 46 a 44 a 5.1 a 5.3 a 40.6 a 40.3 a 962 a 940 a FP3 15 b/67.9 16 b/64.2 4.9 a/5.3 5.0 a/4.2 40.1 a/1.3 40.0 a/0.7 289 b/70.0 319 b/66.1 OPD-CRLR 60% FP1 38 a 35 a 4.7 a 4.8 a 39.8 a 39.5 a 706 a 673 a FP3 12 b/69.6 12 b/67.5 4.3 b/7.9 4.5 b/6.4 39.2 a/1.5 39.1 a/1.0 195 b/72.4 202 b/69.9 LPD-CRLR 100% FP1 34 a 29 a 4.3 a 3.6 a 42.2 a 42.1 a 622 a 434 a FP3 8 b/75.4 8 b/71.7 3.2 b/25.5 3.1 a/14.4 42.5 a/–0.6 42.3 a/–0.5 115 b/81.5 107 b/75.4 LPD-CRLR 60% FP1 25 a 20 a 3.8 a 3.1 a 41.1 a 40.9 a 394 a 253 a FP3 6 b/77.6 5 b/72.9 2.7 b/27.9 2.4 b/23.2 41.2 a/–0.0 41.0 a/–0.3 61 b/84.5 53 b/79.0 significance of factors T ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊FP＊＊ ＊＊ ＊＊ ＊＊ NS NS ＊＊ ＊＊T×FP ＊＊ ＊＊ ＊＊ NS NS NS ＊＊ ＊＊

At the maturation stage, tagged bolls on FP1 and FP3 of FB7 in each treatment were harvested and ginned individually. The quality of ginned fiber was analyzed by the Cotton Quality Supervision, Inspection, and Testing Center of the Ministry of Agriculture of the People’s Republic of China. Meanwhile, cotton bolls on FP1 and FP3 from the central two rows of each plot were hand-harvested. Bolls were dried at 70°C and weighed. After ginning, fiber biomass was measured for calculating lint percentage. To calculate lint yield, we used the formula: Lint yield per ha=Boll number per ha×Weight per boll×Lint percentage

Cotton fiber quality Fiber upper-half mean length(UHML) and fiber strength were significantly affected by T and FP, and micronaire was significantly affected by T, FP, and T×FP (Table 3). For cultivar Kemian 1,UHML, fiber strength, and micronaire were lower at FP3 than those at FP1 under all the planting dates and shading treatments except OPD-CRLR 100%,while for cultivar Sumian 15, they were lower at FP3 under all planting dates and shading treatments. Fiber strength and micronaire at both FP1 and FP3, and UHML at FP3 had optimal characteristics under OPD-CRLR 100%, followed by OPD-CRLR 60%, LPD-CRLR 100%, and LPD-CRLR 60%.However, UHML at FP1 was the longest under OPD-CRLR 60%, followed by OPD-CRLR 100%, LPD-CRLR 100%, and LPD-CRLR 60%. Thus, Δ between FPs for fiber strength and micronaire increased as PTI decreased, while the largest Δ between FPs for UHML was seen under OPD-CRLR 60%.This indicated that 40% shading had little effect on fiber quality at FP1 but decreased the quality at FP3 in OPD. However,40% shading significantly decreased fiber quality on both FPs in LPD, and showed an increasing trend from FP1 to FP3. The phenomena above, along with higher CV between treatments for FP3 compared to FP1 (data not shown),showed that fiber quality was more variable at FP3 than that at FP1 under different planting dates and shading treatments.

3.3. Effects of planting dates and shading on carbohydrate contents in leaves subtending to cotton boll

Sucrose content in subtending leaves For both cultivars,as DPA progressed, sucrose content in subtending leaves inOPD decreased, while the content in LPD showed an inverted“V” shape and peaked at 24 DPA (Fig. 1). Before 38 DPA,sucrose content in the subtending leaf at FP1 was higher than that at FP3 on each measurement day. After 38 DPA,no significant differences in sucrose content of subtending leaves were observed between FPs. Compared with OPDCRLR 100%, sucrose contents in subtending leaf to cotton boll were decreased under OPD-CRLR 60% in both FPs,but increased under LPD-CRLR 100% and LPD-CRLR 60%.Compared with LPD-CRLR 100%, sucrose content also decreased under LPD-CRLR 60%. Thus, shading decreased the leaf sucrose content, whereas LPD increased it in both FP1 and FP3.

在花鸟题材的选择上不仅仅可以从传统的造型中获取灵感，还可以从西方花鸟系列的作品中寻找新的方向。让传统与现代充分融合交汇，突破对已有花鸟题材的认知的限制，尽可能地展现更加多元化的粉彩花鸟的艺术魅力。

Table 3 Effect of different planting dates and shading treatments on cotton fiber quality at FP1 and FP3

1) OPD, optimal planting date, 25 April; LPD, late planting date, 10 June; CRLR, crop relative light rate. 2) UHML means fiber upper-half mean length. Δ (%)=(Indicator value on FP1–Indicator value on FP3)/Indicator value on FP1×100 Values followed by the different letters within the same column are significantly different at 0.05 probability level. NS means nonsignificant difference; ＊ and ＊＊ mean significant differences at 0.05 and 0.01 probability levels, respectively.

Kemian 1 OPD-CRLR 100% FP1 30.5 a 30.7 a 31.4 a 30.3 a 4.9 a 4.9 a FP3 29.6 a/2.8 29.8 a/3.0 29.9 b/4.8 29.3 a/3.5 4.7 a/4.4 4.6 b/5.5 OPD-CRLR 60% FP1 30.8 a 31.1 a 30.2 a 29.4 a 4.7 a 4.5 a FP3 29.3 b/4.9 29.4 b/5.8 28.6 b/5.3 28.1 b/4.4 4.3 b/10.0 4.1 b/8.9 LPD-CRLR 100% FP1 29.5 a 28.6 a 29.3 a 28.3 a 3.9 a 4.0 a FP3 28.4 a/3.5 27.6 b/3.5 26.7 b/8.8 25.4 b/10.1 2.5 b/34.2 2.7 b/32.2 LPD-CRLR 60% FP1 28.6 a 27.5 a 28.0 a 27.1 a 3.3 a 3.4 a FP3 27.4 b/4.1 26.2 b/4.6 25.2 b/9.8 23.9 b/11.8 2.1 b/37.3 2.2 b/35.5 significance of factors T ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊FP ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊T×FP NS NS NS NS ＊＊ ＊＊Sumian 15 OPD-CRLR 100% FP1 29.8 a 30.0 a 29.6 a 30.5 a 4.7 a 4.7 a FP3 28.7 b/3.8 28.8 b/4.0 28.4 b/4.2 28.7 b/5.9 4.4 a/7.0 4.3 b/8.6 OPD-CRLR 60% FP1 30.4 a 30.5 a 28.6 a 29.1 a 4.5 a 4.2 a FP3 28.4 b/6.8 28.6 b/6.3 27.2 b/5.0 27.1 b/6.7 3.9 b/14.2 3.8 b/11.3 LPD-CRLR 100% FP1 28.4 a 27.6 a 27.8 a 27.5 a 3.4 a 3.7 a FP3 27.2 b/4.5 26.3 b/4.5 25.5 b/8.4 23.4 b/14.8 2.2 b/36.6 2.0 b/46.3 LPD-CRLR 60% FP1 27.5 a 26.7 a 26.0 a 25.6 a 2.8 a 3.1 a FP3 26.1 b/5.1 24.8 b/7.1 23.2 b/10.8 21.7 b/15.2 1.7 b/40.8 1.6 b/48.4 significance of factors T ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊FP ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊T×FP NS NS NS ＊＊ ＊ ＊＊

Maximum sucrose content and sucrose transformation rate were significantly affected by T, FP, and T×FP; the minimum sucrose content was significantly affected by T(Table 4). The maximum sucrose content in the subtending leaf at FP3 was significantly lower than that at FP1 under all the planting dates and shading. The minimum sucrose content in the subtending leaf at FP3 was lower than that at FP1 in OPD but higher than that at FP1 in LPD. Sucrose transformation rate in the subtending leaf at FP3 was lower than that at FP1 (significantly in LPD). Δ and R between FPs for leaf maximum sucrose content increased as PTI decreased, which showed that decreased temperature and reduced light increased the carbohydrate distribution of the subtending leaf at FP1 but decreased it at FP3. As PTI decreased, Δ for the minimum sucrose content had no clear trend, whereas R decreased, leading to a greater increase of Δ and R for sucrose transformation rate. A larger CV of the subtending leaf minimum sucrose content/sucrose transformation rate between treatments for FP3 compared to FP1 was also observed (data not shown), indicating that the minimum sucrose content/sucrose transformation rate were more variable on FP3 than on FP1 under different planting dates and shading treatments.

Fig. 1 Effects of planting dates and shading treatments on sucrose content in the subtending leaf at fruiting position 1 (FP1) and FP3 of two cotton cultivars, Kemian 1 and Sumian 15, in 2010 and 2011. OPD, optimal planting date, 25 April; LPD, late planting date, 10 June; CRLR, crop relative light rate. Vertical bars represent standard errors.

Table 4 Differences in maximum/minimum sucrose content, sucrose transformation rate, and the maximum starch content in subtending leaf (Δ/R) between fruiting position 1 (FP1) and FP3 under different planting dates and shading treatments

1) OPD, optimal planting date, 25 April; LPD, late planting date, 10 June; CRLR, crop relative light rate. 2) Δ (%)=(Indicator value on FP1–Indicator value on FP3)/Indicator value on FP1×100; R=Indicator value on FP1/Indicator value on FP3 NS means non-significant difference; ＊ and ＊＊ mean significant differences at 0.05 and 0.01 probability levels, respectively.

Planting dates and shading treatments(T)1)Leaf maximum starch content (Δ (%)/R)2010 2011 2010 2011 2010 2011 2010 2011 Kemian 1 OPD-CRLR 100% 9.15/1.10 8.56/1.09 4.15/1.04 5.69/1.06 4.24/1.04 3.05/1.03 5.75/1.06 7.70/1.08 OPD-CRLR 60% 12.29/1.14 8.49/1.09 6.63/1.07 7.96/1.09 5.33/1.06 0.61/1.01 3.70/1.04 6.90/1.07 LPD-CRLR 100% 13.77/1.16 9.91/1.11 –4.34/0.96 –7.91/0.93 17.74/1.22 23.49/1.31 4.59/1.05 20.40/1.26 LPD-CRLR 60% 19.23/1.24 17.40/1.21 –9.24/0.92 –3.29/0.97 33.02/1.49 30.23/1.43 5.02/1.05 12.14/1.14 significance of factors T Leaf maximum sucrose content (Δ (%)/R)Leaf minimum sucrose content (Δ (%)/R)Leaf sucrose transformation rate (Δ (%)/R)＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊FP ＊＊ ＊＊ NS NS ＊＊ ＊＊ ＊＊ ＊＊T×FP NS NS NS NS ＊ ＊ NS ＊＊Sumian 15 OPD-CRLR 100% 8.49/1.09 6.95/1.07 1.67/1.02 6.98/1.08 7.17/1.08 0.07/1.00 9.47/1.10 6.49/1.07 OPD-CRLR 60% 12.63/1.14 7.36/1.08 8.13/1.09 –1.49/0.99 5.51/1.06 8.64/1.09 10.48/1.12 14.45/1.17 LPD-CRLR 100% 14.43/1.17 12.26/1.14 –2.43/0.98 –1.96/0.98 28.79/1.40 26.26/1.36 7.69/1.08 7.16/1.08 LPD-CRLR 60% 19.90/1.25 20.57/1.26 –5.31/0.95 –3.48/0.97 51.40/2.06 51.27/2.05 11.64/1.13 10.08/1.11 significance of factors T ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊FP ＊＊ ＊＊ NS NS ＊＊ ＊＊ ＊＊ ＊＊T×FP ＊＊ ＊ NS NS ＊＊ ＊ NS NS

Fig. 2 Effects of planting dates and shading treatments on starch content in the subtending leaf at fruiting position 1 (FP1) and FP3 of two cotton cultivars, Kemian 1 and Sumian 15, in 2010 and 2011. OPD, optimal planting date, 25 April; LPD, late planting date, 10 June; CRLR, crop relative light rate. Vertical bars represent standard errors.

content adjustment scale at FP3 was smaller than that at FP1, while a larger CV of fiber sucrose transformation rate between treatments at FP3 compared to that at FP1 (data not shown) indicated that the fiber sucrose transformation rate was more variable at FP3 than that at FP1 under different planting dates and shading treatments.

短暂的昏迷之后，我的眼睛又能看见了。一股血性冲上了我的脑门，我从店堂外卖西瓜的水果摊上抢了一把西瓜刀，冲着打我的保安劈面砍去。保安也许是退伍军人吧，显然是练过格斗的，他身法敏捷地躲过了我的劈杀，闪身转到了我的背后。他反擒住我的胳膊，双手抱住我的头颅，猛一用力——喀嚓！我的脖子被拧断了。

3.4. Effects of planting dates and shading on carbohydrate contents in cotton fiber

Sucrose content in cotton fiber As DPA progressed,sucrose content in cotton fiber under OPD decreased, while the content under LPD slightly increased before 17 or 24 DPA and sharply decreased thereafter (Fig. 3). Sucrose content at FP1 was higher than that at FP3 before 24 DPA in OPD or before 31 DPA in LPD, but it was lower at FP1 than that at FP3 after 24 or 31 DPA for OPD and LPD, respectively.Compared with OPD-CRLR 100%, sucrose contents in cotton fiber were decreased under OPD-CRLR 60% at both FPs, but increased under LPD-CRLR 100% and LPDCRLR 60%. Compared with LPD-CRLR 100%, sucrose content decreased under LPD-CRLR 60%. Thus, similar to leaf sucrose content, shading also decreased cotton fiber sucrose content at both FPs, whereas LPD increased it at both FPs.

The fiber cellulose content was extracted and assayed according to the method described by Updegraff (1969).About 0.5 g of each fiber sample was digested by an aceticnitric reagent (3 mL) in a centrifuge tube. Tubes with a lid (to reduce the possibility of evaporation) were placed in a boiling water bath for 30 min. The water level of the bath was kept at the same level as the liquid in the tubes. Samples were centrifuged at 4 000 r min–1 for 5 min, then decanted and the supernatant was discarded. The residue was washed twice using distilled water and then dried. H2SO4 (67%, v/v)was added to the tube and held at room temperature for 1 h. The solution was diluted from 1 to 100 mL with distilled water and 1 mL of this dilution was placed in a culture tube for cellulose determination. The cellulose content was measured spectrophotometrically at 620 nm using an anthrone reagent with pure cellulose as the standard.

Fig. 3 Effects of planting dates and shading treatments on sucrose content in cotton fiber at fruiting position 1 (FP1) and FP3 of two cotton cultivars, Kemian 1 and Sumian 15, in 2010 and 2011. OPD, optimal planting date, 25 April; LPD, late planting date,10 June; CRLR, crop relative light rate. Vertical bars represent standard errors.

Table 5 Differences in maximum/minimum sucrose content, sucrose transformation rate, and final cellulose content of cotton fiber(Δ/R) between fruiting position 1 (FP1) and FP3 under different planting dates and shading treatments

1) OPD, optimal planting date, 25 April; LPD, late planting date, 10 June; CRLR, crop relative light rate. 2) Δ (%)=(Indicator value on FP1–Indicator value on FP3)/Indicator value on FP1×100; R=Indicator value on FP1/Indicator value on FP3 NS means non-significant differences; ＊ and ＊＊ mean significant differences at 0.05 and 0.01 probability levels, respectively.

Planting dates and shading treatments(T)1)Fiber final cellulose content (Δ (%)/R)2010 2011 2010 2011 2010 2011 2010 2011 Kemian 1 OPD-CRLR 100% 3.80/1.04 3.18/1.03 –47.11/0.68 –27.27/0.79 1.95/1.02 2.96/1.03 3.0/1.03 7.2/1.08 OPD-CRLR 60% 5.26/1.06 6.07/1.06 –47.76/0.68 –22.07/0.82 2.24/1.02 3.48/1.04 8.1/1.09 11.3/1.13 LPD-CRLR 100% 12.08/1.14 6.22/1.07 –55.02/0.65 –26.57/0.79 9.66/1.11 9.59/1.11 18.9/1.23 13.8/1.16 LPD-CRLR 60% 13.15/1.15 8.75/1.10 –35.56/0.74 –15.33/0.87 16.27/1.19 14.17/1.17 26.3/1.36 19.4/1.24 significance of factors T Fiber maximum sucrose content (Δ (%)/R)Fiber minimum sucrose content (Δ (%)/R)Fiber sucrose transformation rate (Δ (%)/R)＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊FP ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊T×FP ＊ NS ＊ NS ＊ NS ＊＊ ＊＊Sumian 15 OPD-CRLR 100% 5.32/1.06 2.11/1.02 –45.25/0.69 –33.64/0.75 1.84/1.02 5.47/1.06 1.5/1.02 9.7/1.11 OPD-CRLR 60% 9.88/1.11 5.39/1.06 –29.95/0.77 –38.51/0.72 2.88/1.03 4.82/1.05 7.9/1.09 11.2/1.13 LPD-CRLR 100% 11.21/1.13 6.92/1.07 –28.06/0.78 –40.61/0.71 12.12/1.14 15.46/1.18 10.2/1.11 10.8/1.12 LPD-CRLR 60% 13.27/1.15 11.52/1.13 –20.09/0.83 –15.42/0.87 16.61/1.20 19.18/1.24 24.4/1.32 20.5/1.26 significance of factors T ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊FP ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊ ＊＊T×FP ＊ NS ＊ ＊ ＊＊ ＊ ＊＊ ＊

Starch content in subtending leaves Starch content in subtending leaves shows a single peak as DPA increased;the peak value was delayed under LPD (Fig. 2). In the late development period of cotton boll (38–59 DPA), starch content clearly increased. On each measurement day,starch content in the subtending leaf at FP1 was higher than that at FP3. Changes in starch content in the subtending leaf at FP1 between treatments were smaller than that at FP3, indicating that FP3 was more susceptible to variable planting dates and shading. Compared with OPD-CRLR 100%, starch content in the subtending leaf to cotton boll both decreased under OPD-CRLR 60% at both FPs,but increased under LPD-CRLR 100% and LPD-CRLR 60%. Compared with LPD-CRLR 100%, starch content also decreased under LPD-CRLR 60%. Thus, shading decreased the leaf starch content at both FPs, whereas late planting dates could increase starch content at both FPs. The maximum starch content was further analyzed,and data showed that the maximum starch content was significantly influenced by T and FP (Table 4). Δ for the maximum starch content did not have a clear trend, but R values were all nearly 1.10 under various treatments,indicating that decreased PTI would not influence the leaf starch content distribution rate between FP1 and FP3.

Data were subjected to an analysis of variance (ANOVA)using SPSS statistics package version 17.0 (SPSS Inc.).Differences at the P＜0.05 level were considered statistically significant using the least significant difference (LSD) test.The coefficient of variation (CV, %) was calculated as the ratio of the standard deviation to the mean. The Δ (%),where, Δ (%)=(Indicator value on FP1–Indicator value on FP3)/Indicator value on FP1×100, was calculated to determine differences in FP indices under different planting and shading treatments. R, where, R=Indicator value on FP1/Indicator value on FP3, was calculated to determine the carbohydrate distribution ratio between FPs under different planting and shading treatments.

Fig. 4 Effects of planting dates and shading treatments on cellulose content in cotton fiber at fruiting position 1 (FP1) and FP3 of two cotton cultivars, Kemian 1 and Sumian 15, in 2010 and 2011. OPD, optimal planting date, 25 April; LPD, late planting date,10 June; CRLR, crop relative light rate. Vertical bars represent standard errors.

4. Discussion

4.1. Effects of planting dates and shading on cotton yield distribution and fiber-quality indices at diffe rent FPs

Previous studies have measured the effect of low temperature, light de ficiency, and their interaction on lint yield for the entire cotton plant (Zhao and Oosterhuis 1994;Dusserre et al. 2002; Iqbal and Ahmad 2003; Bozbek et al.2006; Arshad et al. 2007; Liu et al. 2015b; Hu et al. 2016).In most studies, the number of bolls was determined for the whole plant, and the effect of low temperature and light deficiency on yield components on different boll locations was averaged. Some of these studies concentrated on different fruiting branches of the main stem, but few studies paid attention to different FPs of the same fruiting branch(Heitholt 1997; Anjum et al. 2002). In this study, we focused on differences in the FPs for cotton yield, fiber quality,carbohydrate content in source (subtending leaf), and sink( fiber) organs under low temperature and light deficiency,conditions that occur frequently during the cotton growing season in the Yellow River Valley and Yangtze River Valley(Dong et al. 2006; Shu et al. 2009).

统计学处理 采用Epidata 3.0建立数据库，SPSS 24.0进行数据整理与分析，知晓率组间比较的假设检验采用χ2检验、知晓率相关因素的多因素分析采用非条件Logistics回归分析，P<0.05为差异有统计学意义。定性访谈资料采用归纳总结的方法进行整理分析。

Yield components and fiber quality traits varied significantly within a cotton plant due to the boll period and environmental differences (Jenkins et al. 1990a; Zhao et al.2012). In this study, lint yield, fiber strength, and micronaire at both FPs were significantly decreased under late planting and shading. The decrease under LPD-CRLR 60% was greater than that under OPD-CRLR 60%, which indicated that late planting dates and shading intensi fied the yield reduction and the quality decline. The yield reduction under late planting and shading at both FPs was primarily due to decreased boll number and boll weight, which is consistent with previous studies (Zhao and Oosterhuis 1994; Dusserre et al. 2002; Iqbal and Ahmad 2003; Bozbek et al. 2006;Arshad et al. 2007). Further analysis found that cotton yield reduction at FP3 was primarily caused by decreased boll number under OPD-CRLR 100% and decreased boll number and boll weight under other treatments. Fiber lengths at FP1 and FP3 also decreased significantly due to low temperature induced by late planting but had varying responses under shading treatments. For the optimal planting date, shading increased fiber length at FP1 but decreased it at FP3, while for the late planting date, shading decreased fiber length on both FPs. These results indicate that the effect of shading on fiber length was influenced by temperature, which supplements the theory that the effect of shading on cotton fiber depend on cultivar, timing of shading,and temperature (Pettigrew 1995, 2001; Roussopoulos et al.1998; Zhao and Oosterhuis 2000). These results might also partly explain the inconsistent result of a previous study where shading decreased fiber length (Pettigrew 1996) and other studies that found that shading increased or did not affect fiber length (Echer and Rosolem 2015). Meanwhile,compared with FP1, lint yield, fiber length, fiber strength,and micronaire were lower at FP3, which is similar to Ma et al. (2014). This might be related to the lower PTI and longer shading period of FP3 than those of FP1 under the same planting date. CVs of the indices between planting dates and shading treatments at FP3 were larger than those at FP1, proving more variable characteristic of FP3.Compared with Kemian 1, the decreased amplitude of cotton yield and fiber quality traits under late planting and shading was larger in Sumian 15, which also con firmed our previous study that Sumian 15 is more responsive to planting date and shading (Lv et al. 2013; Chen et al. 2014a; Ma et al.2014; Liu et al. 2015a).

4.2. Effects of planting dates and shading on sourcesink and their relationship

Source, sink strength, and their relationship are crucial for cotton yield and fiber quality (Hu 2007; Kuai et al. 2014). In developing cotton fiber, the maximum sucrose content can reflect the amount of available sucrose, while the minimum sucrose content is the residual sucrose content in mature fiber, and sucrose transformation rate indicates sucrose transformation capacity during cotton fiber development(Shu et al. 2009). In this study, sucrose content in leaf and fiber as well as cellulose content in fiber were all significantly lower at FP3 than those at FP1. Consistent with previous studies (Pettigrew 2001; Shu et al. 2009), shading significantly decreased sucrose content in subtending leaf and fiber at both FPs, but planting dates increased sucrose content in subtending leaf and fiber at both FPs.Although the effects of shading and planting date on fiber and subtending leaf sucrose content were not consistent,both decreased sucrose transformation rates in leaf and fiber, and fiber cellulose content. The reasons might be: (1)under shading treatment, decreased sucrose content altered the further metabolism of carbohydrates into endpoint fiber structural units or other compounds, which could further induce decreases in cellulose syntheses (Pettigrew 2001);or (2) increased accumulation of sucrose might be related to plant responses to adverse conditions (Guy et al. 1992;Savitch et al. 1997); low temperature stress caused by late planting decreased sucrose inversion rate and subsequently cellulose content. In addition, CVs of fiber sucrose and cellulose under LPD-CRLR 60% were greater than those under LPD-CRLR 100% or OPD-CRLR 60%, indicating that effect of planting date plus shading has a greater effect than the individual effects of temperature or light, which corroborates the results of Chen et al. (2003).

In the present study, key physiological factors involved in subtending leaf and fiber development changed under different planting dates and shading treatments, consequently changing yield and fiber quality. The comparison between FP1 and FP3 on the same fruiting branch showed that the variation of these factors was similar under late planting and shading treatments, but variation amplitude and variation coef ficient were higher at FP3. Meanwhile, sucrose content, cellulose content, cotton yield, and fiber quality were also lower at FP3. The results might be related to adverse temperature and light condition during the boll development period at FP3 and less carbohydrate synthesis and translocation at FP3. Although the boll primarily received carbohydrates synthesized by the subtending leaf, the main stem leaf also supplies carbohydrate for fruit development.Fruit produced closer to the main stem can receive more carbohydrates from the main stem leaf than fruit produced at more distal positions. Thus, compared with FP1, bolls at FP3 experienced more serious temperature-light stress and received a reduced supply of carbohydrates, which hindered sucrose metabolism and cellulose synthesis. In addition,compared with FP1, correlation indices between sucrose content, cotton yield parameters, and micronaire, as well as correlation indices between cellulose content and fiber strength were higher at FP3, further showing that bolls at FP3 were more sensitive to adverse temperature and light regimes. Both cultivars exhibited variability in carbohydrate contents of leaves and fiber between FP1 and FP3 under the combinations of different planting dates and shading treatments, which might be the reason for higher sensitivity of lint yield distribution and fiber quality of temperature-sensitive cultivar Sumian 15 to late planting and shading compared to temperature-tolerant cultivar Kemian 1. These results highlight the importance of retaining the bolls at FP3 and could provide further data for studying differences in sucrose metabolism between fruiting positions and would be valuable for cotton cultivators to improve cotton yield and fiber quality under low temperature and low light on distal FPs.

5. Conclusion

Cotton yield and yield components, fiber quality, sucrose transformation rate of leaf and fiber, and fiber cellulose content were all decreased at FP3 compared to FP1 under all treatments. OPD-CRLR 60%, LPD-CRLR 100%, and LPD-CRLR 60% led to significant decreases in lint yield at both FPs and for both cultivars, especially on FP3 and in Sumian 15; this effect was mainly caused by a rapid decline in boll number. Except for the increase of UHML on FP1 under OPD-CRLR 60%, all fiber quality indices were decreased under late planting and shading, and a greater reduction was observed on FP3 and in Sumian 15. LPD increased, but shading decreased, sucrose content in leaf and fiber as compared to OPD with no shading, which led to a decreased cellulose concentration, indicating that late planting mainly diminished the transfer of leaf sucrose to cotton fiber and shading primarily decreased the sucrose content from the source. Additionally, the changes in carbohydrates at FP3 and in Sumian 15 were more variable than at FP1 and in Kemian 1. These results suggested that higher reduction in cotton yield and fiber quality at FP3 and in Sumian 15 under late planting and shading treatments are mainly associated with significant decreases in boll number and carbohydrate contents.

选取2016年1月~2018年1月的结直肠癌患者40例自愿参加试验的患者,每20例为一组,共分为两组,分别为对照组与实验组。其中,对照组中,男患者8例,女患者12例,平均年龄(55.0±4.8)岁;在实验组中,男患者11例,女患者9例,平均年龄(56.3±5.2)岁。分析两组患者的性别、年龄、临床资料等信息,发现组间差异缺少明显性且P>0.05,无统计学意义,存在可比性。

Acknowledgements

This work was supported by the National Natural Science Foundation of China (31271654, 31401327, 31471444),the Special Fund for Agro-scientific Research in the Public Interest, China (201203096), and the Jiangsu Overseas Research & Training Program for University Prominent Young & Middle-aged Teachers and Presidents, China(2016).

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