Carbon partitioning in the boll plays an important role in fiber quality in colored cotton

Zhang, Meiling; Song, Xiaoling; Ji, Hong Fang; Wang, Zhenlin; Sun, Xiulan

doi:10.1007/s10570-016-1139-z

Cited by 7 publications

(4 citation statements)

References 44 publications

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“…For boll distribution characteristics, manual counting procedures were adopted by dividing plants into fruiting branches (FB). Every selected plant was divided into four fruiting branch groups as FB 1–3 , FB 4–6 , FB 7–9 , and FB 10–12 following Zhang et al (2017). The total boll weight was also measured for every fruiting branch group.…”

Section: Methodsmentioning

confidence: 99%

Foliar melatonin stimulates cotton boll distribution characteristics by modifying leaf sugar metabolism and antioxidant activities during drought conditions

Khattak

Abdalmegeed

et al. 2021

Physiologia Plantarum

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Drought is a severe abiotic stress affecting the plant's antioxidant system and interrupting compatible solute translocation processes, which leads to low productivity.Melatonin acts as a common growth regulator enhancing the plants defense system and regulates sugar metabolism in challenging environments. Melatonin treatments enable plants to be tolerant to abiotic stresses via enhancing their recovery potential, but its impact using various concentrations has not yet been studied in leaf physiological aspects when applied to cotton foliage during their peak flowering and boll loading stage. The overall objective of this research was to facilitate cotton boll distribution characteristics by modifying cotton leaf sugar metabolism and antioxidant activity by applying foliar melatonin (0, 25, 50, and 100 μmol l À1 ) under drought levels with a relative soil water content of 75%, 60%, and 45% ± 5 (FC1, FC2, and FC3, respectively). Higher rates of melatonin application (100 μmol l À1 ) enhanced boll distribution characteristics and controlled the boll shedding rate during drought conditions. An increase in melatonin rates proved to be more helpful in stimulating cotton sympodial leaf physiological attributes, including leaf gas exchange parameters, sugar metabolism, proline content, and antioxidants defense system as compared with less or no melatonin application during all FC conditions and showed the most significant effect at a higher melatonin concentration (M100) at 7-21 DAF. The total proline content and antioxidant activity were enhanced in the M100 treatment during all FC levels, which caused a reduction in the total malondialdehyde (MDA) contents and hydrogen peroxide (H 2 O 2 ) concentrations in cotton leaves. Moreover, sugar metabolism responsible genes GhSusA and SPS2 showed an upsurge in expression levels and enhanced sucrose degradation in M100 treatments during all FC levels. Furthermore, cotton boll attributes showed also a positive relation with leaf physiological and gas exchange attributes. The results suggested that foliar melatonin application during the flowering initiation stage improved the overall performance and is helpful for cotton crops productivity against drought stress.

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Section: Methodsmentioning

confidence: 99%

Foliar melatonin stimulates cotton boll distribution characteristics by modifying leaf sugar metabolism and antioxidant activities during drought conditions

Khattak

Abdalmegeed

et al. 2021

Physiologia Plantarum

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“…An increased soluble sugar content in the subtending leaf could improve boll weight (Sun et al, 2004; Desouza and Dasilva, 1992). Carbon partition in the boll played an important role in fiber quality, especially in colored cotton (Zhang et al, 2017b). In the present study, soluble sugar content in the boll wall and the subtending leaf for naturally brown or green cotton were both lower than for white cotton (Fig.…”

Section: Discussionmentioning

confidence: 99%

Physiological Characteristics Associated with Fiber Development in Two Naturally Colored Cotton Cultivars

et al. 2019

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Core Ideas The dynamics of cellulose accumulation in colored cotton fiber increased in an S‐shaped curve, which was not asymmetric and could be simulated with Richards’ model (R2 > 0.999). Chlorophyll concentrations (estimated by SPAD values) for colored cotton were lower, compared to white cotton, and the degradation rate was relatively faster. This resulted in lower contents of soluble sugar in the boll shell and the subtending leaf. In the boll shell and the fiber, colored cotton had lower ATPase, sucrose invertase, and UDPG‐PPase activities. At 40 DPA, the SS activity for colored cotton was lower than for white cotton. Naturally colored cotton (Gossypium hirsutum L.) fibers are commercially valuable, but low fiber quality limits their use. This study investigates changes in enzymes’ activities and substance contents involved in carbohydrate synthesis to provide a theoretical basis for improving colored cotton fiber quality. Brown cotton Xiangcaimian 2, green cotton Wanmian 39, and white cotton Sumian 9 (control) were used. Fiber cellulose accumulation for Xiangcaimian 2 and Wanmian 39 were lower than the control. Cellulose content was simulated by Richards’ equation (R2 > 0.999) and follows an “S” pattern—initial slow accumulation 0–10 d post anthesis (DPA), then rapid 10–40 DPA, then slow 40–50 DPA. Maximum accumulation, the cumulative rate parameter, and maximum cumulative rate for cellulose of colored cotton were all lower for control. Further analysis showed SPAD chlorophyll meter readings, soluble sugar content, leaf sucrose invertase activity, adenosine triphosphatase, sucrose synthase, and uridine diphosphate glucose pyrophosphorylase (UDPG‐PPase) activities in colored fiber were lower than control. Results suggest insufficient nutrients for boll and fiber development, resulting in lower fiber quality and boll dry weight in colored cotton. Sucrose synthase and UDPG‐PPase activities in colored fiber were significantly correlated with fiber maturation (r = 0.884*, r = 0.914*) and fiber strength (r = 0.895*, r = 0.935*), indicating lower metabolite and enzyme activities in colored cotton reduced fiber quality. Therefore, it appears improving colored cotton fiber quality may require selection efforts to increase photosynthetic capacity in leaves and transportation capacity of carbohydrates in the boll to supply more nutrient during fiber development.

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“…Moreover, the path search and calculation of genetic algorithm can complete the planning task independently without relying on other redundant information. However, the algorithm has many rules and elements, and has the disadvantage of low operation speed [26][27].…”

Section: ) Artificial Potential Field Methodsmentioning

confidence: 99%

Path Planning and Positioning Technology of Cotton Picking Robot in Complex Cotton Field

2021

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Agricultural robot will become a powerful tool to save a lot of human resources in the future, which can reduce the labor intensity and cost of workers, and improve the efficiency of picking operations. The purpose of this paper is to study the path planning and positioning technology of cotton picking robot based on the complex cotton field environment. Firstly, based on the research of common path planning technology, according to the known degree of the target to the environment, the common path planning algorithms are roughly divided into two categories: global and local planning, and its characteristics, advantages and disadvantages in application are briefly analyzed. The parallel binocular vision measurement system is selected as the positioning tool of the cotton peach to simulate the complex cotton field environment. The experimental results show that after error compensation, the measurement errors in the X and Z directions are within 5mm. The measurement error prediction model for the vision system well expresses the nonlinear model between the original measurement value and the measurement error. The global optimization rate of hybrid particle swarm optimization algorithm is 50%, but the result is the most unstable; the global optimization rate of basic genetic algorithm is 20%, the global optimization rate of multi population genetic algorithm is 70%, the global optimization rate of improved multi population genetic algorithm is 90%, the global optimization rate and speed of improved multi population genetic algorithm are the best of the several algorithms studied in this paper, Therefore, this algorithm is used to optimize the path in practical application.

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Carbon partitioning in the boll plays an important role in fiber quality in colored cotton

Cited by 7 publications

References 44 publications

Foliar melatonin stimulates cotton boll distribution characteristics by modifying leaf sugar metabolism and antioxidant activities during drought conditions

Foliar melatonin stimulates cotton boll distribution characteristics by modifying leaf sugar metabolism and antioxidant activities during drought conditions

Physiological Characteristics Associated with Fiber Development in Two Naturally Colored Cotton Cultivars

Path Planning and Positioning Technology of Cotton Picking Robot in Complex Cotton Field

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