Genotypic variation in spatiotemporal distribution of canopy light interception in relation to yield formation in cotton

Xing, Feifei; Han, Yingchun; Feng, Lu; Zhi, Xiaoyu; Wang, Guoping; Yang, Beifang; Fan, Zhengyi; Lei, Yaping; Du, Weihua; Wang, Zhanbiao; Xiong, Shiwu; Li, Xiaofei; Li, Yabing

doi:10.1186/s42397-018-0012-z

Cited by 10 publications

(10 citation statements)

References 30 publications

(33 reference statements)

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“…If leaf area is small, though the light conditions are satisfied, the total photosynthetic products cannot meet the needs of boll growth, both situations lead to low yield of cotton [45]. A highly significant relationship was found between iPAR and leaf area, which is in strong agreement with previous studies [14,24,31].…”

Section: Discussionsupporting

confidence: 89%

“…Spatial distribution of light interception by cotton growing at different densities is of great importance, as light interception directly affects photosynthesis and influences biomass and yield [31]. The traditional method to estimate the vertical direction of light interception in the crop canopy is Beer's law [32], however, leaf angle and leaf curve are needed to simulate the model to calculate PAR distribution of different height of the canopies and contains a series of mathematical functions which are difficult to measure and calculate [33].…”

Section: Discussionmentioning

confidence: 99%

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Competition for Light Interception in Cotton Populations of Different Densities

et al. 2021

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Modification of the cotton canopy results in shade avoidance and competition for light, which shows that density and spatial arrangement of cotton have a great impact on light interception. This experiment was conducted in 2018 and 2019 in the experimental field at the Institute of Cotton Research of Chinese Academy of Agricultural Science in Anyang city, Henan Province, China. Six plant densities of cotton variety SCRC28 were used to assess spatial competition for light in cotton populations during the whole growing period. Light interception data were collected and analyzed according to the spatial grid method and the extension of Simpson’s 3/8 rule. The results showed that at the bottom of the canopy, greater light interception was observed at high densities than at low densities, while in the external part of the layer of the canopy in the horizontal direction, low light interception was recorded at low densities. Leaf area, aboveground biomass and plant height were obviously correlated with light interception, and the cotton population with a higher density (8.7 plants m−2) performed best at the light interception competition, and with the highest yield. The results will provide guidance on light management through the optimization of the structure of the canopy to provide more solar radiation and a significant basis by which to improve the management of light and canopy architecture.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Competition for Light Interception in Cotton Populations of Different Densities

et al. 2021

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“…The aforementioned study showed varietal differences in a light interception by the canopy at the squaring stage and maximum differences at the flowering and boll setting. The study by Xing et al (2018) also reported a significant positive relationship between light interception and biomass accumulation among different cotton varieties with the highest biomass accumulation in loose type varieties and the lowest in compact type cotton varieties. Bai et al (2016) evaluated 10 cotton cultivars differing in canopy architecture and reported the maximum biomass accumulation and the highest…”

Section: Introductionmentioning

confidence: 82%

“…The fraction of incoming solar radiation intercepted by the canopy is a function of the leaf area index, canopy structure, and the efficiency with which leaves intercept solar radiation, referred to as the light extinction coefficient (Cirilo et al, 2009;Lantinga et al, 1999;Massignam et al 2009;Plénet et al 2000). A study by Xing et al (2018) with six different cotton varieties differing in canopy structure (compact or loose) reported significant differences in canopy light interception among different cotton varieties. The study reported lower light interception by compact-type cotton cultivars, compared to loose-type cotton cultivars.…”

Section: Introductionmentioning

confidence: 99%

Physiological contributors to yield in advanced cotton breeding lines

Virk,

Snider,

Chee

et al. 2023

Crop Science

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Cotton (Gossypium hirsutum L.) yield can be expressed as the product of intercepted photosynthetically active radiation (IPAR), radiation use efficiency (RUE), and harvest index (HI). Studies comparing genetic diversity in functional yield drivers for progeny of elite breeding lines are limited or non‐existent. A field study was conducted during the 2020 and 2021 growing seasons to characterize crop development and to evaluate yield and underlying yield drivers in sixteen advanced breeding lines (F7 generation). Significant breeding line differences existed for lint yield, cutout date, reproductive, vegetative, and total biomass, RUE, and HI but not for IPAR. The lint yield for lowest yielding lines was 24% lower than the highest yielding line with a lint yield of 1706 kg ha−1. Differences in RUE were not associated with single‐leaf photosynthetic rates. HI positively contributed to lint yield gain for most lines evaluated, whereas RUE was negatively correlated with lint yield for the majority of breeding lines evaluated. However, in the two highest yielding lines, two different strategies of yield maximization were identified. One line exhibited the earliest cutout date, reduced biomass production, low RUE, and the highest HI values, whereas the other line had the latest cutout date and produced the highest total biomass, highest RUE, and a low to intermediate HI. Breeding lines used in the current study achieved high yields by differentially manipulating underlying physiological components such as RUE, biomass accumulation or dry matter allocation to fiber. Our work provides future direction for efforts aimed at maximizing yield through selection for functional yield drivers.This article is protected by copyright. All rights reserved

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“…The enhanced LAI is attributed to the increased carbon assimilation rate conferred by plant toppings ( Nie et al., 2021 ). In addition to photosynthesis, plant topping also strongly regulates source–sink photoassimilate partitioning ( Xing et al., 2018 ; Nie et al., 2020 ). Unlike non-topping and chemical topping, manual topping significantly diverts more photoassimilates towards the FB-sourced bolls, and less assimilate to the redundant cotton bolls, making manual topping more advantageous than chemical topping ( Nie et al., 2021 ).…”

Section: Effects Of Source–sink Regulation On Growth and Development ...mentioning

confidence: 99%

Improved cotton yield: Can we achieve this goal by regulating the coordination of source and sink?

et al. 2023

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Cotton is one of the major cash crops globally. It is characterized by determinate growth and multiple fruiting, which makes the source–sink contradiction more obvious. Coordination between source and sink is crucial for normal growth, yield, and quality of cotton. Numerous studies reported how the assimilate transport and distribution under varying environmental cues affected crop yields. However, less is known about the functional mechanism underlying the assimilate transport between source and sink, and how their distribution impacts cotton growth. Here, we provided an overview of the assimilate transport and distribution mechanisms , and discussed the regulatory mechanisms involved in source-sink balance in relation to cotton yield. Therefore, this review enriched our knowledge of the regulatory mechanism involved in source–sink relationship for improved cotton yield.

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Genotypic variation in spatiotemporal distribution of canopy light interception in relation to yield formation in cotton

Cited by 10 publications

References 30 publications

Competition for Light Interception in Cotton Populations of Different Densities

Competition for Light Interception in Cotton Populations of Different Densities

Physiological contributors to yield in advanced cotton breeding lines

Improved cotton yield: Can we achieve this goal by regulating the coordination of source and sink?

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