Food and Feeding Ecology of Mugil cephalus from Krishnapatnam and Mypadu Coasts of Nellore District, Andhra Pradesh

Lavanya, D.; Ramalingaiah, D.; Suguna, T.; Reddy, D. Raveendra Kumar; Madhavi, K.

doi:10.20546/ijcmas.2018.704.298

Cited by 4 publications

(4 citation statements)

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“…This may be due to the increased production of benthos and plankton ( Thackeray et al, 2013 ; Tao et al, 2015 ), which indirectly influenced the energy intake and growth of the studied fish ( Pörtner & Farrell, 2008 ; Prokešová et al, 2020 ). The pH, DO, and silicate ( Viadero, 2005 ; Bajaj, 2017 ; Zhang et al, 2017 ) favors the production of diatoms and algal matter in water, which forms the primary food of M. cephalus ( Lavanya et al, 2018 ). Similarly, a large chain-forming diatom is also associated with regions with high nitrate ( Olofsson et al, 2019 ) and phosphate ( Dell’Aquila et al, 2020 ) content, leading to higher fish production.…”

Section: Discussionmentioning

confidence: 99%

Evaluating the influence of environmental variables on the length-weight relationship and prediction modelling in flathead grey mullet, Mugil cephalus Linnaeus, 1758

Chandran

Singh

et al. 2023

PeerJ

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Fish stocks that are grown under diverse environmental conditions have different biometric relationships and growth patterns. The biometric length-weight relationship (LWR) is an essential fishery assessment tool, as fish growth is continuous and depends on genetic and environmental factors. The present study attempts to understand the LWR of the flathead grey mullet, Mugil cephalus Linnaeus, 1758, from different locations. The study area encompassed its distribution in the wild across freshwater location (one), coastal habitats (eight locations), and estuaries (six locations) in India to determine the relationship between various environmental parameters. Specimens (n = 476) of M. cephalus were collected from commercial catches and the length and weight of individual specimens were recorded. Monthly data from the study locations were extracted for nine environmental variables from the datasets downloaded from the Physical Oceanography Distributed Active Archive Center (PO.DAAC) and the Copernicus Marine Environment Monitoring Service (CMEMS) over 16 years (2002 to 2017) on the Geographical Information System platform. The parameters of the LWR, intercept ‘a’ and slope or regression coefficient ‘b’, varied from 0.005321 to 0.22182 and 2.235 to 3.173, respectively. The condition factor ranged from 0.92 to 1.41. The partial least squares (PLS) score scatter plot matrix indicated differences in the environmental variables between the locations. PLS analysis of the regression coefficient and environment parameters revealed that certain environment variables viz., sea surface temperature, salinity, dissolved oxygen, nitrate, and phosphate, played a positive role. However, chlorophyll, pH, silicate, and iron played a negative role in influencing weight growth across various locations. The results revealed that the M. cephalus specimens from three locations, Mandapam, Karwar, and Ratnagiri, possessed significantly higher fitness to their environment than those from the other six locations. The PLS model can be used to predict weight growth under the various environmental conditions of different ecosystems. The three identified locations are useful sites for the mariculture of this species considering their growth performance, the environmental variables, and their interactions. The results of this study will improve the management and conservation of exploited stocks in regions affected by climate change. Our results will also aid in making environment clearance decisions for coastal development projects and will improve the efficiency of mariculture systems.

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Section: Discussionmentioning

confidence: 99%

Evaluating the influence of environmental variables on the length-weight relationship and prediction modelling in flathead grey mullet, Mugil cephalus Linnaeus, 1758

Chandran

Singh

et al. 2023

PeerJ

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“…The feeding habit exhibited great variability depending on species, habitat, season, and even within the same species due to the spatiotemporal change of food composition (Islam et al, 2009). For example, Mugil cephalus from Krishnapatnam, India, was omnivorous (Lavanya et al, 2018) but herbivorous in Bangladesh's coastal water (Islam et al, 2009). Coad (2010) stated that mullets could be herbivorous and/or detritivorous fish based on their prey items.…”

Section: Discussionmentioning

confidence: 99%

“…Another example, diatoms, algae, molluscans, decayed organic matter, sand and mud, etc. were the prey items of M. cephalus in Andhra Pradesh, India (Lavanya et al, 2018), but plant materials, diatoms, algae, and dinoflagellates were the dominant food item of M. cephalus in Elechi Creek, Nigeria (Jamabo & Maduako, 2015).…”

Section: Discussionmentioning

confidence: 99%

Feeding ecology of Ellochelon vaigiensis (Quoy & Gaimard, 1825) living in the Mekong Delta, Vietnam

Dinh

Truong

Nguyen

et al. 2022

Ecology and Evolution

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Ellochelon vaigiensis (squaretail mullet) adapts to a wide salt spectrum, grows quickly and is easy to raise with other species, so it is the object of attention in aquaculture. Information on the biology and ecology of the species, diet, in particular, is still scattered. Here, we explore the feeding habit, feeding intensity, and food composition of the squaretail mullet. A total of 942 fish (526 males and 416 females) were collected from November 2020 to October 2021 at four coastal sites in the Mekong Delta, Vietnam. The squaretail mullet is an algi‐omnivorous fish, as their relative gut length (1.81) falls into the range 1–3, and the diet is mostly based on algae. The feeding intensity is high due to the high value of the fullness index (4.39 ± 0.08%). The fullness index did not vary by sampling site and month, while RGL and FI changed depending on sex. Bacillariophyta (49.13%), detritus derived from organic matter (30.37%), and Cyanophyta (18.39%) are the dominant food items in the diet composition of E. vaigiensis, in which detritus is the most important food with the highest IRI index. Besides, Euglenophyta (1.00%), Chlorophyta (0.95%), Paramecium (0.06%), Copepoda (0.04%), Rotatoria (0.03%), Polychaeta (0.02%), and Cladocera (0.01%) are also recorded and ranked based on their biovolume. Some differences in diet composition are observed between immature and mature at different seasons and their interactions. Our results increase the knowledge about the feeding ecology of squaretail mullet and can help the sustainable management of this commercially important fish species.

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“…The nutrient availability in marine ecosystems fosters the proliferation of planktonic organisms, a primary food source, which in turn can have cascading effects on numerous fish species [92,93]. Additionally, the intricate relationship between nutrient availability and fish composition is further complicated by the specific nutrient requirements of different fish species and the presence of their prey in the food web [83,94,95]. Our observations underscore a robust association between nutrient availability and the ecological dynamics of local coastal ecosystems.…”

Section: Controlling Factors Of the Seasonal Fluctuations In Fish Com...mentioning

confidence: 63%

Evaluation of the Effects of Environmental Factors on Seasonal Variations in Fish Diversity on a Coastal Island in Western Japan

Nhat,

Saito,

Hamada

et al. 2024

Environments

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Coastal habitats are crucial for supporting ecological processes and serve as vital ecosystems for diverse fish species, providing essential functions such as feeding, nursery provision, and reproductive habitats. Fish communities are ecologically important components of coastal ecosystems and are affected by multiple environmental factors. Despite their importance, determining the effects of environmental factors on seasonal variations in fish species diversity and community dynamics remains a challenge. The advent of environmental DNA (eDNA) technology, an environmentally conscious approach, has resulted in considerable advancements in recent years and has been progressively adopted for marine fish population monitoring. Here, we used environmental DNA metabarcoding to study seasonal variations in fish community structure on a coastal island, and we assessed the effects of environmental factors in structuring these communities. Our findings revealed a rich diversity of 72 fish species across 40 families and 23 orders in the seawater surrounding an island of the Seto Inland Sea (SIS), Western Japan. Notably, the composition of fish communities varied significantly between seasons, with seawater temperature, salinity, and dissolved inorganic phosphorus (DIP) concentration identified as important factors correlated with fish communities’ structures. In conclusion, our study provides useful information of fish diversity, and we suggest that eDNA is a valuable technique for monitoring fish diversity in coastal areas. These findings are crucial for ecological studies and the environmental monitoring of oceanic coastal environments.

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Food and Feeding Ecology of Mugil cephalus from Krishnapatnam and Mypadu Coasts of Nellore District, Andhra Pradesh

Cited by 4 publications

References 5 publications

Evaluating the influence of environmental variables on the length-weight relationship and prediction modelling in flathead grey mullet, Mugil cephalus Linnaeus, 1758

Evaluating the influence of environmental variables on the length-weight relationship and prediction modelling in flathead grey mullet, Mugil cephalus Linnaeus, 1758

Feeding ecology of Ellochelon vaigiensis (Quoy & Gaimard, 1825) living in the Mekong Delta, Vietnam

Evaluation of the Effects of Environmental Factors on Seasonal Variations in Fish Diversity on a Coastal Island in Western Japan

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